close()

Close httplib2 connections.

deidentify(parent, body=None, x__xgafv=None)

De-identifies potentially sensitive info from a ContentItem. This method has limits on input size and output size. See https://cloud.google.com/sensitive-data-protection/docs/deidentify-sensitive-data to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated.

Args:
parent: string, Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required)
body: object, The request body.
The object takes the form of:

{ # Request to de-identify a ContentItem.
"deidentifyConfig": { # The configuration that controls how the data will change. # Configuration for the de-identification of the content item. Items specified here will override the template referenced by the deidentify_template_name argument.
"imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact.
"transforms": [ # List of transforms to make.
{ # Configuration for determining how redaction of images should occur.
"allInfoTypes": { # Apply transformation to all findings. # Apply transformation to all findings not specified in other ImageTransformation's selected_info_types. Only one instance is allowed within the ImageTransformations message.
},
"allText": { # Apply to all text. # Apply transformation to all text that doesn't match an infoType. Only one instance is allowed within the ImageTransformations message.
},
"redactionColor": { # Represents a color in the RGB color space. # The color to use when redacting content from an image. If not specified, the default is black.
"blue": 3.14, # The amount of blue in the color as a value in the interval [0, 1].
"green": 3.14, # The amount of green in the color as a value in the interval [0, 1].
"red": 3.14, # The amount of red in the color as a value in the interval [0, 1].
},
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types.
"infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
},
},
],
},
"infoTypeTransformations": { # A type of transformation that will scan unstructured text and apply various `PrimitiveTransformation`s to each finding, where the transformation is applied to only values that were identified as a specific info_type. # Treat the dataset as free-form text and apply the same free text transformation everywhere.
"transformations": [ # Required. Transformation for each infoType. Cannot specify more than one for a given infoType.
{ # A transformation to apply to text that is identified as a specific info_type.
"infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
"primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType.
"bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing
"buckets": [ # Set of buckets. Ranges must be non-overlapping.
{ # Bucket is represented as a range, along with replacement values.
"max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"min": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Lower bound of the range, inclusive. Type should be the same as max if used.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"replacementValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Replacement value for this bucket.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"characterMaskConfig": { # Partially mask a string by replacing a given number of characters with a fixed character. Masking can start from the beginning or end of the string. This can be used on data of any type (numbers, longs, and so on) and when de-identifying structured data we'll attempt to preserve the original data's type. (This allows you to take a long like 123 and modify it to a string like **3. # Mask
"charactersToIgnore": [ # When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is `555-555-5555` and you instruct Cloud DLP to skip `-` and mask 5 characters with `*`, Cloud DLP returns `***-**5-5555`.
{ # Characters to skip when doing deidentification of a value. These will be left alone and skipped.
"charactersToSkip": "A String", # Characters to not transform when masking.
"commonCharactersToIgnore": "A String", # Common characters to not transform when masking. Useful to avoid removing punctuation.
},
],
"maskingCharacter": "A String", # Character to use to mask the sensitive values—for example, `*` for an alphabetic string such as a name, or `0` for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to `*` for strings, and `0` for digits.
"numberToMask": 42, # Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If `number_to_mask` is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - `masking_character` is `*` - `number_to_mask` is `-4` - `reverse_order` is `false` - `CharsToIgnore` includes `-` - Input string is `1234-5678-9012-3456` The resulting de-identified string is `****-****-****-3456`. Cloud DLP masks all but the last four characters. If `reverse_order` is `true`, all but the first four characters are masked as `1234-****-****-****`.
"reverseOrder": True or False, # Mask characters in reverse order. For example, if `masking_character` is `0`, `number_to_mask` is `14`, and `reverse_order` is `false`, then the input string `1234-5678-9012-3456` is masked as `00000000000000-3456`. If `masking_character` is `*`, `number_to_mask` is `3`, and `reverse_order` is `true`, then the string `12345` is masked as `12***`.
},
"cryptoDeterministicConfig": { # Pseudonymization method that generates deterministic encryption for the given input. Outputs a base64 encoded representation of the encrypted output. Uses AES-SIV based on the RFC https://tools.ietf.org/html/rfc5297. # Deterministic Crypto
"context": { # General identifier of a data field in a storage service. # A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
},
"cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe
"commonAlphabet": "A String", # Common alphabets.
"context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/
"radix": 42, # The native way to select the alphabet. Must be in the range [2, 95].
"surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift
"context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past.
"upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
},
"fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing
"bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
"lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"upperBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if `upper_bound` = 89, then all values greater than 89 are replaced with the value "89+".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"redactConfig": { # Redact a given value. For example, if used with an `InfoTypeTransformation` transforming PHONE_NUMBER, and input 'My phone number is 206-555-0123', the output would be 'My phone number is '. # Redact
},
"replaceConfig": { # Replace each input value with a given `Value`. # Replace with a specified value.
"newValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to replace it with.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary.
"wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"replaceWithInfoTypeConfig": { # Replace each matching finding with the name of the info_type. # Replace with infotype
},
"timePartConfig": { # For use with `Date`, `Timestamp`, and `TimeOfDay`, extract or preserve a portion of the value. # Time extraction
"partToExtract": "A String", # The part of the time to keep.
},
},
},
],
},
"recordTransformations": { # A type of transformation that is applied over structured data such as a table. # Treat the dataset as structured. Transformations can be applied to specific locations within structured datasets, such as transforming a column within a table.
"fieldTransformations": [ # Transform the record by applying various field transformations.
{ # The transformation to apply to the field.
"condition": { # A condition for determining whether a transformation should be applied to a field. # Only apply the transformation if the condition evaluates to true for the given `RecordCondition`. The conditions are allowed to reference fields that are not used in the actual transformation. Example Use Cases: - Apply a different bucket transformation to an age column if the zip code column for the same record is within a specific range. - Redact a field if the date of birth field is greater than 85.
"expressions": { # An expression, consisting of an operator and conditions. # An expression.
"conditions": { # A collection of conditions. # Conditions to apply to the expression.
"conditions": [ # A collection of conditions.
{ # The field type of `value` and `field` do not need to match to be considered equal, but not all comparisons are possible. EQUAL_TO and NOT_EQUAL_TO attempt to compare even with incompatible types, but all other comparisons are invalid with incompatible types. A `value` of type: - `string` can be compared against all other types - `boolean` can only be compared against other booleans - `integer` can be compared against doubles or a string if the string value can be parsed as an integer. - `double` can be compared against integers or a string if the string can be parsed as a double. - `Timestamp` can be compared against strings in RFC 3339 date string format. - `TimeOfDay` can be compared against timestamps and strings in the format of 'HH:mm:ss'. If we fail to compare do to type mismatch, a warning will be given and the condition will evaluate to false.
"field": { # General identifier of a data field in a storage service. # Required. Field within the record this condition is evaluated against.
"name": "A String", # Name describing the field.
},
"operator": "A String", # Required. Operator used to compare the field or infoType to the value.
"value": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to compare against. [Mandatory, except for `EXISTS` tests.]
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
},
},
"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
{ # General identifier of a data field in a storage service.
"name": "A String", # Name describing the field.
},
],
"infoTypeTransformations": { # A type of transformation that will scan unstructured text and apply various `PrimitiveTransformation`s to each finding, where the transformation is applied to only values that were identified as a specific info_type. # Treat the contents of the field as free text, and selectively transform content that matches an `InfoType`.
"transformations": [ # Required. Transformation for each infoType. Cannot specify more than one for a given infoType.
{ # A transformation to apply to text that is identified as a specific info_type.
"infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
"primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType.
"bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing
"buckets": [ # Set of buckets. Ranges must be non-overlapping.
{ # Bucket is represented as a range, along with replacement values.
"max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"min": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Lower bound of the range, inclusive. Type should be the same as max if used.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"replacementValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Replacement value for this bucket.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"characterMaskConfig": { # Partially mask a string by replacing a given number of characters with a fixed character. Masking can start from the beginning or end of the string. This can be used on data of any type (numbers, longs, and so on) and when de-identifying structured data we'll attempt to preserve the original data's type. (This allows you to take a long like 123 and modify it to a string like **3. # Mask
"charactersToIgnore": [ # When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is `555-555-5555` and you instruct Cloud DLP to skip `-` and mask 5 characters with `*`, Cloud DLP returns `***-**5-5555`.
{ # Characters to skip when doing deidentification of a value. These will be left alone and skipped.
"charactersToSkip": "A String", # Characters to not transform when masking.
"commonCharactersToIgnore": "A String", # Common characters to not transform when masking. Useful to avoid removing punctuation.
},
],
"maskingCharacter": "A String", # Character to use to mask the sensitive values—for example, `*` for an alphabetic string such as a name, or `0` for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to `*` for strings, and `0` for digits.
"numberToMask": 42, # Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If `number_to_mask` is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - `masking_character` is `*` - `number_to_mask` is `-4` - `reverse_order` is `false` - `CharsToIgnore` includes `-` - Input string is `1234-5678-9012-3456` The resulting de-identified string is `****-****-****-3456`. Cloud DLP masks all but the last four characters. If `reverse_order` is `true`, all but the first four characters are masked as `1234-****-****-****`.
"reverseOrder": True or False, # Mask characters in reverse order. For example, if `masking_character` is `0`, `number_to_mask` is `14`, and `reverse_order` is `false`, then the input string `1234-5678-9012-3456` is masked as `00000000000000-3456`. If `masking_character` is `*`, `number_to_mask` is `3`, and `reverse_order` is `true`, then the string `12345` is masked as `12***`.
},
"cryptoDeterministicConfig": { # Pseudonymization method that generates deterministic encryption for the given input. Outputs a base64 encoded representation of the encrypted output. Uses AES-SIV based on the RFC https://tools.ietf.org/html/rfc5297. # Deterministic Crypto
"context": { # General identifier of a data field in a storage service. # A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
},
"cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe
"commonAlphabet": "A String", # Common alphabets.
"context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/
"radix": 42, # The native way to select the alphabet. Must be in the range [2, 95].
"surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift
"context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past.
"upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
},
"fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing
"bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
"lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"upperBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if `upper_bound` = 89, then all values greater than 89 are replaced with the value "89+".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"redactConfig": { # Redact a given value. For example, if used with an `InfoTypeTransformation` transforming PHONE_NUMBER, and input 'My phone number is 206-555-0123', the output would be 'My phone number is '. # Redact
},
"replaceConfig": { # Replace each input value with a given `Value`. # Replace with a specified value.
"newValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to replace it with.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary.
"wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"replaceWithInfoTypeConfig": { # Replace each matching finding with the name of the info_type. # Replace with infotype
},
"timePartConfig": { # For use with `Date`, `Timestamp`, and `TimeOfDay`, extract or preserve a portion of the value. # Time extraction
"partToExtract": "A String", # The part of the time to keep.
},
},
},
],
},
"primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field.
"bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing
"buckets": [ # Set of buckets. Ranges must be non-overlapping.
{ # Bucket is represented as a range, along with replacement values.
"max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"min": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Lower bound of the range, inclusive. Type should be the same as max if used.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"replacementValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Replacement value for this bucket.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"characterMaskConfig": { # Partially mask a string by replacing a given number of characters with a fixed character. Masking can start from the beginning or end of the string. This can be used on data of any type (numbers, longs, and so on) and when de-identifying structured data we'll attempt to preserve the original data's type. (This allows you to take a long like 123 and modify it to a string like **3. # Mask
"charactersToIgnore": [ # When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is `555-555-5555` and you instruct Cloud DLP to skip `-` and mask 5 characters with `*`, Cloud DLP returns `***-**5-5555`.
{ # Characters to skip when doing deidentification of a value. These will be left alone and skipped.
"charactersToSkip": "A String", # Characters to not transform when masking.
"commonCharactersToIgnore": "A String", # Common characters to not transform when masking. Useful to avoid removing punctuation.
},
],
"maskingCharacter": "A String", # Character to use to mask the sensitive values—for example, `*` for an alphabetic string such as a name, or `0` for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to `*` for strings, and `0` for digits.
"numberToMask": 42, # Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If `number_to_mask` is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - `masking_character` is `*` - `number_to_mask` is `-4` - `reverse_order` is `false` - `CharsToIgnore` includes `-` - Input string is `1234-5678-9012-3456` The resulting de-identified string is `****-****-****-3456`. Cloud DLP masks all but the last four characters. If `reverse_order` is `true`, all but the first four characters are masked as `1234-****-****-****`.
"reverseOrder": True or False, # Mask characters in reverse order. For example, if `masking_character` is `0`, `number_to_mask` is `14`, and `reverse_order` is `false`, then the input string `1234-5678-9012-3456` is masked as `00000000000000-3456`. If `masking_character` is `*`, `number_to_mask` is `3`, and `reverse_order` is `true`, then the string `12345` is masked as `12***`.
},
"cryptoDeterministicConfig": { # Pseudonymization method that generates deterministic encryption for the given input. Outputs a base64 encoded representation of the encrypted output. Uses AES-SIV based on the RFC https://tools.ietf.org/html/rfc5297. # Deterministic Crypto
"context": { # General identifier of a data field in a storage service. # A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
},
"cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe
"commonAlphabet": "A String", # Common alphabets.
"context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/
"radix": 42, # The native way to select the alphabet. Must be in the range [2, 95].
"surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift
"context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past.
"upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
},
"fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing
"bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
"lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"upperBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if `upper_bound` = 89, then all values greater than 89 are replaced with the value "89+".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"redactConfig": { # Redact a given value. For example, if used with an `InfoTypeTransformation` transforming PHONE_NUMBER, and input 'My phone number is 206-555-0123', the output would be 'My phone number is '. # Redact
},
"replaceConfig": { # Replace each input value with a given `Value`. # Replace with a specified value.
"newValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to replace it with.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary.
"wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"replaceWithInfoTypeConfig": { # Replace each matching finding with the name of the info_type. # Replace with infotype
},
"timePartConfig": { # For use with `Date`, `Timestamp`, and `TimeOfDay`, extract or preserve a portion of the value. # Time extraction
"partToExtract": "A String", # The part of the time to keep.
},
},
},
],
"recordSuppressions": [ # Configuration defining which records get suppressed entirely. Records that match any suppression rule are omitted from the output.
{ # Configuration to suppress records whose suppression conditions evaluate to true.
"condition": { # A condition for determining whether a transformation should be applied to a field. # A condition that when it evaluates to true will result in the record being evaluated to be suppressed from the transformed content.
"expressions": { # An expression, consisting of an operator and conditions. # An expression.
"conditions": { # A collection of conditions. # Conditions to apply to the expression.
"conditions": [ # A collection of conditions.
{ # The field type of `value` and `field` do not need to match to be considered equal, but not all comparisons are possible. EQUAL_TO and NOT_EQUAL_TO attempt to compare even with incompatible types, but all other comparisons are invalid with incompatible types. A `value` of type: - `string` can be compared against all other types - `boolean` can only be compared against other booleans - `integer` can be compared against doubles or a string if the string value can be parsed as an integer. - `double` can be compared against integers or a string if the string can be parsed as a double. - `Timestamp` can be compared against strings in RFC 3339 date string format. - `TimeOfDay` can be compared against timestamps and strings in the format of 'HH:mm:ss'. If we fail to compare do to type mismatch, a warning will be given and the condition will evaluate to false.
"field": { # General identifier of a data field in a storage service. # Required. Field within the record this condition is evaluated against.
"name": "A String", # Name describing the field.
},
"operator": "A String", # Required. Operator used to compare the field or infoType to the value.
"value": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to compare against. [Mandatory, except for `EXISTS` tests.]
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
},
},
},
],
},
"transformationErrorHandling": { # How to handle transformation errors during de-identification. A transformation error occurs when the requested transformation is incompatible with the data. For example, trying to de-identify an IP address using a `DateShift` transformation would result in a transformation error, since date info cannot be extracted from an IP address. Information about any incompatible transformations, and how they were handled, is returned in the response as part of the `TransformationOverviews`. # Mode for handling transformation errors. If left unspecified, the default mode is `TransformationErrorHandling.ThrowError`.
"leaveUntransformed": { # Skips the data without modifying it if the requested transformation would cause an error. For example, if a `DateShift` transformation were applied an an IP address, this mode would leave the IP address unchanged in the response. # Ignore errors
},
"throwError": { # Throw an error and fail the request when a transformation error occurs. # Throw an error
},
},
},
"deidentifyTemplateName": "A String", # Template to use. Any configuration directly specified in deidentify_config will override those set in the template. Singular fields that are set in this request will replace their corresponding fields in the template. Repeated fields are appended. Singular sub-messages and groups are recursively merged.
"inspectConfig": { # Configuration description of the scanning process. When used with redactContent only info_types and min_likelihood are currently used. # Configuration for the inspector. Items specified here will override the template referenced by the inspect_template_name argument.
"contentOptions": [ # Deprecated and unused.
"A String",
],
"customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more.
{ # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question.
"detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType.
{ # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType.
"hotwordRule": { # The rule that adjusts the likelihood of findings within a certain proximity of hotwords. # Hotword-based detection rule.
"hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
"groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
42,
],
"pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
},
"likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as part of a detection rule. # Likelihood adjustment to apply to all matching findings.
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
"relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`.
},
"proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "$\d{3}$ \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "$xxx$", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
"windowAfter": 42, # Number of characters after the finding to consider.
"windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
},
},
},
],
"dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType.
"cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
"path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt`
},
"wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
"infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
"likelihood": "A String", # Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to `VERY_LIKELY` if not specified.
"regex": { # Message defining a custom regular expression. # Regular expression based CustomInfoType.
"groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
42,
],
"pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
},
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"storedType": { # A reference to a StoredInfoType to use with scanning. # Load an existing `StoredInfoType` resource for use in `InspectDataSource`. Not currently supported in `InspectContent`.
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system.
"name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`.
},
"surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing.
},
},
],
"excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling.
"includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
"infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
"limits": { # Configuration to control the number of findings returned for inspection. This is not used for de-identification or data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. # Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes.
{ # Max findings configuration per infoType, per content item or long running DlpJob.
"infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
"maxFindings": 42, # Max findings limit for the given infoType.
},
],
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
"maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.
},
"minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood).
"minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
{ # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request.
"infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
"minLikelihood": "A String", # Only returns findings equal to or above this threshold. This field is required or else the configuration fails.
},
],
"ruleSet": [ # Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set.
"infoTypes": [ # List of infoTypes this rule set is applied to.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order.
{ # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`.
"exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule.
"dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule.
"cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
"path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt`
},
"wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"excludeByHotword": { # The rule to exclude findings based on a hotword. For record inspection of tables, column names are considered hotwords. An example of this is to exclude a finding if it belongs to a BigQuery column that matches a specific pattern. # Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
"hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
"groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
42,
],
"pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
},
"proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.
"windowAfter": 42, # Number of characters after the finding to consider.
"windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
},
},
"excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule.
"infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
},
"matchingType": "A String", # How the rule is applied, see MatchingType documentation for details.
"regex": { # Message defining a custom regular expression. # Regular expression which defines the rule.
"groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
42,
],
"pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
},
},
"hotwordRule": { # The rule that adjusts the likelihood of findings within a certain proximity of hotwords. # Hotword-based detection rule.
"hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
"groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
42,
],
"pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
},
"likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as part of a detection rule. # Likelihood adjustment to apply to all matching findings.
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
"relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`.
},
"proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "$\d{3}$ \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "$xxx$", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
"windowAfter": 42, # Number of characters after the finding to consider.
"windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
},
},
},
],
},
],
},
"inspectTemplateName": "A String", # Template to use. Any configuration directly specified in inspect_config will override those set in the template. Singular fields that are set in this request will replace their corresponding fields in the template. Repeated fields are appended. Singular sub-messages and groups are recursively merged.
"item": { # Type of content to inspect. # The item to de-identify. Will be treated as text. This value must be of type Table if your deidentify_config is a RecordTransformations object.
"byteItem": { # Container for bytes to inspect or redact. # Content data to inspect or redact. Replaces `type` and `data`.
"data": "A String", # Content data to inspect or redact.
"type": "A String", # The type of data stored in the bytes string. Default will be TEXT_UTF8.
},
"table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-text#inspecting_a_table to learn more.
"headers": [ # Headers of the table.
{ # General identifier of a data field in a storage service.
"name": "A String", # Name describing the field.
},
],
"rows": [ # Rows of the table.
{ # Values of the row.
"values": [ # Individual cells.
{ # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
],
},
],
},
"value": "A String", # String data to inspect or redact.
},
"locationId": "A String", # Deprecated. This field has no effect.
}

x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # Results of de-identifying a ContentItem.
"item": { # Type of content to inspect. # The de-identified item.
"byteItem": { # Container for bytes to inspect or redact. # Content data to inspect or redact. Replaces `type` and `data`.
"data": "A String", # Content data to inspect or redact.
"type": "A String", # The type of data stored in the bytes string. Default will be TEXT_UTF8.
},
"table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-text#inspecting_a_table to learn more.
"headers": [ # Headers of the table.
{ # General identifier of a data field in a storage service.
"name": "A String", # Name describing the field.
},
],
"rows": [ # Rows of the table.
{ # Values of the row.
"values": [ # Individual cells.
{ # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
],
},
],
},
"value": "A String", # String data to inspect or redact.
},
"overview": { # Overview of the modifications that occurred. # An overview of the changes that were made on the `item`.
"transformationSummaries": [ # Transformations applied to the dataset.
{ # Summary of a single transformation. Only one of 'transformation', 'field_transformation', or 'record_suppress' will be set.
"field": { # General identifier of a data field in a storage service. # Set if the transformation was limited to a specific FieldId.
"name": "A String", # Name describing the field.
},
"fieldTransformations": [ # The field transformation that was applied. If multiple field transformations are requested for a single field, this list will contain all of them; otherwise, only one is supplied.
{ # The transformation to apply to the field.
"condition": { # A condition for determining whether a transformation should be applied to a field. # Only apply the transformation if the condition evaluates to true for the given `RecordCondition`. The conditions are allowed to reference fields that are not used in the actual transformation. Example Use Cases: - Apply a different bucket transformation to an age column if the zip code column for the same record is within a specific range. - Redact a field if the date of birth field is greater than 85.
"expressions": { # An expression, consisting of an operator and conditions. # An expression.
"conditions": { # A collection of conditions. # Conditions to apply to the expression.
"conditions": [ # A collection of conditions.
{ # The field type of `value` and `field` do not need to match to be considered equal, but not all comparisons are possible. EQUAL_TO and NOT_EQUAL_TO attempt to compare even with incompatible types, but all other comparisons are invalid with incompatible types. A `value` of type: - `string` can be compared against all other types - `boolean` can only be compared against other booleans - `integer` can be compared against doubles or a string if the string value can be parsed as an integer. - `double` can be compared against integers or a string if the string can be parsed as a double. - `Timestamp` can be compared against strings in RFC 3339 date string format. - `TimeOfDay` can be compared against timestamps and strings in the format of 'HH:mm:ss'. If we fail to compare do to type mismatch, a warning will be given and the condition will evaluate to false.
"field": { # General identifier of a data field in a storage service. # Required. Field within the record this condition is evaluated against.
"name": "A String", # Name describing the field.
},
"operator": "A String", # Required. Operator used to compare the field or infoType to the value.
"value": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to compare against. [Mandatory, except for `EXISTS` tests.]
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
},
},
"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
{ # General identifier of a data field in a storage service.
"name": "A String", # Name describing the field.
},
],
"infoTypeTransformations": { # A type of transformation that will scan unstructured text and apply various `PrimitiveTransformation`s to each finding, where the transformation is applied to only values that were identified as a specific info_type. # Treat the contents of the field as free text, and selectively transform content that matches an `InfoType`.
"transformations": [ # Required. Transformation for each infoType. Cannot specify more than one for a given infoType.
{ # A transformation to apply to text that is identified as a specific info_type.
"infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
"primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType.
"bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing
"buckets": [ # Set of buckets. Ranges must be non-overlapping.
{ # Bucket is represented as a range, along with replacement values.
"max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"min": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Lower bound of the range, inclusive. Type should be the same as max if used.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"replacementValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Replacement value for this bucket.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"characterMaskConfig": { # Partially mask a string by replacing a given number of characters with a fixed character. Masking can start from the beginning or end of the string. This can be used on data of any type (numbers, longs, and so on) and when de-identifying structured data we'll attempt to preserve the original data's type. (This allows you to take a long like 123 and modify it to a string like **3. # Mask
"charactersToIgnore": [ # When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is `555-555-5555` and you instruct Cloud DLP to skip `-` and mask 5 characters with `*`, Cloud DLP returns `***-**5-5555`.
{ # Characters to skip when doing deidentification of a value. These will be left alone and skipped.
"charactersToSkip": "A String", # Characters to not transform when masking.
"commonCharactersToIgnore": "A String", # Common characters to not transform when masking. Useful to avoid removing punctuation.
},
],
"maskingCharacter": "A String", # Character to use to mask the sensitive values—for example, `*` for an alphabetic string such as a name, or `0` for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to `*` for strings, and `0` for digits.
"numberToMask": 42, # Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If `number_to_mask` is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - `masking_character` is `*` - `number_to_mask` is `-4` - `reverse_order` is `false` - `CharsToIgnore` includes `-` - Input string is `1234-5678-9012-3456` The resulting de-identified string is `****-****-****-3456`. Cloud DLP masks all but the last four characters. If `reverse_order` is `true`, all but the first four characters are masked as `1234-****-****-****`.
"reverseOrder": True or False, # Mask characters in reverse order. For example, if `masking_character` is `0`, `number_to_mask` is `14`, and `reverse_order` is `false`, then the input string `1234-5678-9012-3456` is masked as `00000000000000-3456`. If `masking_character` is `*`, `number_to_mask` is `3`, and `reverse_order` is `true`, then the string `12345` is masked as `12***`.
},
"cryptoDeterministicConfig": { # Pseudonymization method that generates deterministic encryption for the given input. Outputs a base64 encoded representation of the encrypted output. Uses AES-SIV based on the RFC https://tools.ietf.org/html/rfc5297. # Deterministic Crypto
"context": { # General identifier of a data field in a storage service. # A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
},
"cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe
"commonAlphabet": "A String", # Common alphabets.
"context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/
"radix": 42, # The native way to select the alphabet. Must be in the range [2, 95].
"surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift
"context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past.
"upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
},
"fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing
"bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
"lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"upperBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if `upper_bound` = 89, then all values greater than 89 are replaced with the value "89+".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"redactConfig": { # Redact a given value. For example, if used with an `InfoTypeTransformation` transforming PHONE_NUMBER, and input 'My phone number is 206-555-0123', the output would be 'My phone number is '. # Redact
},
"replaceConfig": { # Replace each input value with a given `Value`. # Replace with a specified value.
"newValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to replace it with.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary.
"wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"replaceWithInfoTypeConfig": { # Replace each matching finding with the name of the info_type. # Replace with infotype
},
"timePartConfig": { # For use with `Date`, `Timestamp`, and `TimeOfDay`, extract or preserve a portion of the value. # Time extraction
"partToExtract": "A String", # The part of the time to keep.
},
},
},
],
},
"primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field.
"bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing
"buckets": [ # Set of buckets. Ranges must be non-overlapping.
{ # Bucket is represented as a range, along with replacement values.
"max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"min": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Lower bound of the range, inclusive. Type should be the same as max if used.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"replacementValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Replacement value for this bucket.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"characterMaskConfig": { # Partially mask a string by replacing a given number of characters with a fixed character. Masking can start from the beginning or end of the string. This can be used on data of any type (numbers, longs, and so on) and when de-identifying structured data we'll attempt to preserve the original data's type. (This allows you to take a long like 123 and modify it to a string like **3. # Mask
"charactersToIgnore": [ # When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is `555-555-5555` and you instruct Cloud DLP to skip `-` and mask 5 characters with `*`, Cloud DLP returns `***-**5-5555`.
{ # Characters to skip when doing deidentification of a value. These will be left alone and skipped.
"charactersToSkip": "A String", # Characters to not transform when masking.
"commonCharactersToIgnore": "A String", # Common characters to not transform when masking. Useful to avoid removing punctuation.
},
],
"maskingCharacter": "A String", # Character to use to mask the sensitive values—for example, `*` for an alphabetic string such as a name, or `0` for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to `*` for strings, and `0` for digits.
"numberToMask": 42, # Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If `number_to_mask` is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - `masking_character` is `*` - `number_to_mask` is `-4` - `reverse_order` is `false` - `CharsToIgnore` includes `-` - Input string is `1234-5678-9012-3456` The resulting de-identified string is `****-****-****-3456`. Cloud DLP masks all but the last four characters. If `reverse_order` is `true`, all but the first four characters are masked as `1234-****-****-****`.
"reverseOrder": True or False, # Mask characters in reverse order. For example, if `masking_character` is `0`, `number_to_mask` is `14`, and `reverse_order` is `false`, then the input string `1234-5678-9012-3456` is masked as `00000000000000-3456`. If `masking_character` is `*`, `number_to_mask` is `3`, and `reverse_order` is `true`, then the string `12345` is masked as `12***`.
},
"cryptoDeterministicConfig": { # Pseudonymization method that generates deterministic encryption for the given input. Outputs a base64 encoded representation of the encrypted output. Uses AES-SIV based on the RFC https://tools.ietf.org/html/rfc5297. # Deterministic Crypto
"context": { # General identifier of a data field in a storage service. # A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
},
"cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe
"commonAlphabet": "A String", # Common alphabets.
"context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/
"radix": 42, # The native way to select the alphabet. Must be in the range [2, 95].
"surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift
"context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past.
"upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
},
"fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing
"bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
"lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"upperBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if `upper_bound` = 89, then all values greater than 89 are replaced with the value "89+".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"redactConfig": { # Redact a given value. For example, if used with an `InfoTypeTransformation` transforming PHONE_NUMBER, and input 'My phone number is 206-555-0123', the output would be 'My phone number is '. # Redact
},
"replaceConfig": { # Replace each input value with a given `Value`. # Replace with a specified value.
"newValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to replace it with.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary.
"wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"replaceWithInfoTypeConfig": { # Replace each matching finding with the name of the info_type. # Replace with infotype
},
"timePartConfig": { # For use with `Date`, `Timestamp`, and `TimeOfDay`, extract or preserve a portion of the value. # Time extraction
"partToExtract": "A String", # The part of the time to keep.
},
},
},
],
"infoType": { # Type of information detected by the API. # Set if the transformation was limited to a specific InfoType.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
"recordSuppress": { # Configuration to suppress records whose suppression conditions evaluate to true. # The specific suppression option these stats apply to.
"condition": { # A condition for determining whether a transformation should be applied to a field. # A condition that when it evaluates to true will result in the record being evaluated to be suppressed from the transformed content.
"expressions": { # An expression, consisting of an operator and conditions. # An expression.
"conditions": { # A collection of conditions. # Conditions to apply to the expression.
"conditions": [ # A collection of conditions.
{ # The field type of `value` and `field` do not need to match to be considered equal, but not all comparisons are possible. EQUAL_TO and NOT_EQUAL_TO attempt to compare even with incompatible types, but all other comparisons are invalid with incompatible types. A `value` of type: - `string` can be compared against all other types - `boolean` can only be compared against other booleans - `integer` can be compared against doubles or a string if the string value can be parsed as an integer. - `double` can be compared against integers or a string if the string can be parsed as a double. - `Timestamp` can be compared against strings in RFC 3339 date string format. - `TimeOfDay` can be compared against timestamps and strings in the format of 'HH:mm:ss'. If we fail to compare do to type mismatch, a warning will be given and the condition will evaluate to false.
"field": { # General identifier of a data field in a storage service. # Required. Field within the record this condition is evaluated against.
"name": "A String", # Name describing the field.
},
"operator": "A String", # Required. Operator used to compare the field or infoType to the value.
"value": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to compare against. [Mandatory, except for `EXISTS` tests.]
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
},
},
},
"results": [ # Collection of all transformations that took place or had an error.
{ # A collection that informs the user the number of times a particular `TransformationResultCode` and error details occurred.
"code": "A String", # Outcome of the transformation.
"count": "A String", # Number of transformations counted by this result.
"details": "A String", # A place for warnings or errors to show up if a transformation didn't work as expected.
},
],
"transformation": { # A rule for transforming a value. # The specific transformation these stats apply to.
"bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing
"buckets": [ # Set of buckets. Ranges must be non-overlapping.
{ # Bucket is represented as a range, along with replacement values.
"max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"min": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Lower bound of the range, inclusive. Type should be the same as max if used.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"replacementValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Replacement value for this bucket.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"characterMaskConfig": { # Partially mask a string by replacing a given number of characters with a fixed character. Masking can start from the beginning or end of the string. This can be used on data of any type (numbers, longs, and so on) and when de-identifying structured data we'll attempt to preserve the original data's type. (This allows you to take a long like 123 and modify it to a string like **3. # Mask
"charactersToIgnore": [ # When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is `555-555-5555` and you instruct Cloud DLP to skip `-` and mask 5 characters with `*`, Cloud DLP returns `***-**5-5555`.
{ # Characters to skip when doing deidentification of a value. These will be left alone and skipped.
"charactersToSkip": "A String", # Characters to not transform when masking.
"commonCharactersToIgnore": "A String", # Common characters to not transform when masking. Useful to avoid removing punctuation.
},
],
"maskingCharacter": "A String", # Character to use to mask the sensitive values—for example, `*` for an alphabetic string such as a name, or `0` for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to `*` for strings, and `0` for digits.
"numberToMask": 42, # Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If `number_to_mask` is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - `masking_character` is `*` - `number_to_mask` is `-4` - `reverse_order` is `false` - `CharsToIgnore` includes `-` - Input string is `1234-5678-9012-3456` The resulting de-identified string is `****-****-****-3456`. Cloud DLP masks all but the last four characters. If `reverse_order` is `true`, all but the first four characters are masked as `1234-****-****-****`.
"reverseOrder": True or False, # Mask characters in reverse order. For example, if `masking_character` is `0`, `number_to_mask` is `14`, and `reverse_order` is `false`, then the input string `1234-5678-9012-3456` is masked as `00000000000000-3456`. If `masking_character` is `*`, `number_to_mask` is `3`, and `reverse_order` is `true`, then the string `12345` is masked as `12***`.
},
"cryptoDeterministicConfig": { # Pseudonymization method that generates deterministic encryption for the given input. Outputs a base64 encoded representation of the encrypted output. Uses AES-SIV based on the RFC https://tools.ietf.org/html/rfc5297. # Deterministic Crypto
"context": { # General identifier of a data field in a storage service. # A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
},
"cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe
"commonAlphabet": "A String", # Common alphabets.
"context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/
"radix": 42, # The native way to select the alphabet. Must be in the range [2, 95].
"surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift
"context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past.
"upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
},
"fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing
"bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
"lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"upperBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if `upper_bound` = 89, then all values greater than 89 are replaced with the value "89+".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"redactConfig": { # Redact a given value. For example, if used with an `InfoTypeTransformation` transforming PHONE_NUMBER, and input 'My phone number is 206-555-0123', the output would be 'My phone number is '. # Redact
},
"replaceConfig": { # Replace each input value with a given `Value`. # Replace with a specified value.
"newValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to replace it with.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary.
"wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"replaceWithInfoTypeConfig": { # Replace each matching finding with the name of the info_type. # Replace with infotype
},
"timePartConfig": { # For use with `Date`, `Timestamp`, and `TimeOfDay`, extract or preserve a portion of the value. # Time extraction
"partToExtract": "A String", # The part of the time to keep.
},
},
"transformedBytes": "A String", # Total size in bytes that were transformed in some way.
},
],
"transformedBytes": "A String", # Total size in bytes that were transformed in some way.
},
}

inspect(parent, body=None, x__xgafv=None)

Finds potentially sensitive info in content. This method has limits on input size, processing time, and output size. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. For how to guides, see https://cloud.google.com/sensitive-data-protection/docs/inspecting-images and https://cloud.google.com/sensitive-data-protection/docs/inspecting-text,

Args:
parent: string, Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required)
body: object, The request body.
The object takes the form of:

{ # Request to search for potentially sensitive info in a ContentItem.
"inspectConfig": { # Configuration description of the scanning process. When used with redactContent only info_types and min_likelihood are currently used. # Configuration for the inspector. What specified here will override the template referenced by the inspect_template_name argument.
"contentOptions": [ # Deprecated and unused.
"A String",
],
"customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more.
{ # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question.
"detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType.
{ # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType.
"hotwordRule": { # The rule that adjusts the likelihood of findings within a certain proximity of hotwords. # Hotword-based detection rule.
"hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
"groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
42,
],
"pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
},
"likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as part of a detection rule. # Likelihood adjustment to apply to all matching findings.
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
"relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`.
},
"proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "$\d{3}$ \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "$xxx$", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
"windowAfter": 42, # Number of characters after the finding to consider.
"windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
},
},
},
],
"dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType.
"cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
"path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt`
},
"wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
"infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
"likelihood": "A String", # Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to `VERY_LIKELY` if not specified.
"regex": { # Message defining a custom regular expression. # Regular expression based CustomInfoType.
"groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
42,
],
"pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
},
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"storedType": { # A reference to a StoredInfoType to use with scanning. # Load an existing `StoredInfoType` resource for use in `InspectDataSource`. Not currently supported in `InspectContent`.
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system.
"name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`.
},
"surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing.
},
},
],
"excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling.
"includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
"infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
"limits": { # Configuration to control the number of findings returned for inspection. This is not used for de-identification or data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. # Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes.
{ # Max findings configuration per infoType, per content item or long running DlpJob.
"infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
"maxFindings": 42, # Max findings limit for the given infoType.
},
],
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
"maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.
},
"minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood).
"minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
{ # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request.
"infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
"minLikelihood": "A String", # Only returns findings equal to or above this threshold. This field is required or else the configuration fails.
},
],
"ruleSet": [ # Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set.
"infoTypes": [ # List of infoTypes this rule set is applied to.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order.
{ # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`.
"exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule.
"dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule.
"cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
"path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt`
},
"wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"excludeByHotword": { # The rule to exclude findings based on a hotword. For record inspection of tables, column names are considered hotwords. An example of this is to exclude a finding if it belongs to a BigQuery column that matches a specific pattern. # Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
"hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
"groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
42,
],
"pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
},
"proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.
"windowAfter": 42, # Number of characters after the finding to consider.
"windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
},
},
"excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule.
"infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
},
"matchingType": "A String", # How the rule is applied, see MatchingType documentation for details.
"regex": { # Message defining a custom regular expression. # Regular expression which defines the rule.
"groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
42,
],
"pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
},
},
"hotwordRule": { # The rule that adjusts the likelihood of findings within a certain proximity of hotwords. # Hotword-based detection rule.
"hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
"groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
42,
],
"pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
},
"likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as part of a detection rule. # Likelihood adjustment to apply to all matching findings.
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
"relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`.
},
"proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "$\d{3}$ \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "$xxx$", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
"windowAfter": 42, # Number of characters after the finding to consider.
"windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
},
},
},
],
},
],
},
"inspectTemplateName": "A String", # Template to use. Any configuration directly specified in inspect_config will override those set in the template. Singular fields that are set in this request will replace their corresponding fields in the template. Repeated fields are appended. Singular sub-messages and groups are recursively merged.
"item": { # Type of content to inspect. # The item to inspect.
"byteItem": { # Container for bytes to inspect or redact. # Content data to inspect or redact. Replaces `type` and `data`.
"data": "A String", # Content data to inspect or redact.
"type": "A String", # The type of data stored in the bytes string. Default will be TEXT_UTF8.
},
"table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-text#inspecting_a_table to learn more.
"headers": [ # Headers of the table.
{ # General identifier of a data field in a storage service.
"name": "A String", # Name describing the field.
},
],
"rows": [ # Rows of the table.
{ # Values of the row.
"values": [ # Individual cells.
{ # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
],
},
],
},
"value": "A String", # String data to inspect or redact.
},
"locationId": "A String", # Deprecated. This field has no effect.
}

x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # Results of inspecting an item.
"result": { # All the findings for a single scanned item. # The findings.
"findings": [ # List of findings for an item.
{ # Represents a piece of potentially sensitive content.
"createTime": "A String", # Timestamp when finding was detected.
"findingId": "A String", # The unique finding id.
"infoType": { # Type of information detected by the API. # The type of content that might have been found. Provided if `excluded_types` is false.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
"jobCreateTime": "A String", # Time the job started that produced this finding.
"jobName": "A String", # The job that stored the finding.
"labels": { # The labels associated with this `Finding`. Label keys must be between 1 and 63 characters long and must conform to the following regular expression: `[a-z]([-a-z0-9]*[a-z0-9])?`. Label values must be between 0 and 63 characters long and must conform to the regular expression `([a-z]([-a-z0-9]*[a-z0-9])?)?`. No more than 10 labels can be associated with a given finding. Examples: * `"environment" : "production"` * `"pipeline" : "etl"`
"a_key": "A String",
},
"likelihood": "A String", # Confidence of how likely it is that the `info_type` is correct.
"location": { # Specifies the location of the finding. # Where the content was found.
"byteRange": { # Generic half-open interval [start, end) # Zero-based byte offsets delimiting the finding. These are relative to the finding's containing element. Note that when the content is not textual, this references the UTF-8 encoded textual representation of the content. Omitted if content is an image.
"end": "A String", # Index of the last character of the range (exclusive).
"start": "A String", # Index of the first character of the range (inclusive).
},
"codepointRange": { # Generic half-open interval [start, end) # Unicode character offsets delimiting the finding. These are relative to the finding's containing element. Provided when the content is text.
"end": "A String", # Index of the last character of the range (exclusive).
"start": "A String", # Index of the first character of the range (inclusive).
},
"container": { # Represents a container that may contain DLP findings. Examples of a container include a file, table, or database record. # Information about the container where this finding occurred, if available.
"fullPath": "A String", # A string representation of the full container name. Examples: - BigQuery: 'Project:DataSetId.TableId' - Cloud Storage: 'gs://Bucket/folders/filename.txt'
"projectId": "A String", # Project where the finding was found. Can be different from the project that owns the finding.
"relativePath": "A String", # The rest of the path after the root. Examples: - For BigQuery table `project_id:dataset_id.table_id`, the relative path is `table_id` - For Cloud Storage file `gs://bucket/folder/filename.txt`, the relative path is `folder/filename.txt`
"rootPath": "A String", # The root of the container. Examples: - For BigQuery table `project_id:dataset_id.table_id`, the root is `dataset_id` - For Cloud Storage file `gs://bucket/folder/filename.txt`, the root is `gs://bucket`
"type": "A String", # Container type, for example BigQuery or Cloud Storage.
"updateTime": "A String", # Findings container modification timestamp, if applicable. For Cloud Storage, this field contains the last file modification timestamp. For a BigQuery table, this field contains the last_modified_time property. For Datastore, this field isn't populated.
"version": "A String", # Findings container version, if available ("generation" for Cloud Storage).
},
"contentLocations": [ # List of nested objects pointing to the precise location of the finding within the file or record.
{ # Precise location of the finding within a document, record, image, or metadata container.
"containerName": "A String", # Name of the container where the finding is located. The top level name is the source file name or table name. Names of some common storage containers are formatted as follows: * BigQuery tables: `{project_id}:{dataset_id}.{table_id}` * Cloud Storage files: `gs://{bucket}/{path}` * Datastore namespace: {namespace} Nested names could be absent if the embedded object has no string identifier (for example, an image contained within a document).
"containerTimestamp": "A String", # Finding container modification timestamp, if applicable. For Cloud Storage, this field contains the last file modification timestamp. For a BigQuery table, this field contains the last_modified_time property. For Datastore, this field isn't populated.
"containerVersion": "A String", # Finding container version, if available ("generation" for Cloud Storage).
"documentLocation": { # Location of a finding within a document. # Location data for document files.
"fileOffset": "A String", # Offset of the line, from the beginning of the file, where the finding is located.
},
"imageLocation": { # Location of the finding within an image. # Location within an image's pixels.
"boundingBoxes": [ # Bounding boxes locating the pixels within the image containing the finding.
{ # Bounding box encompassing detected text within an image.
"height": 42, # Height of the bounding box in pixels.
"left": 42, # Left coordinate of the bounding box. (0,0) is upper left.
"top": 42, # Top coordinate of the bounding box. (0,0) is upper left.
"width": 42, # Width of the bounding box in pixels.
},
],
},
"metadataLocation": { # Metadata Location # Location within the metadata for inspected content.
"storageLabel": { # Storage metadata label to indicate which metadata entry contains findings. # Storage metadata.
"key": "A String", # Label name.
},
"type": "A String", # Type of metadata containing the finding.
},
"recordLocation": { # Location of a finding within a row or record. # Location within a row or record of a database table.
"fieldId": { # General identifier of a data field in a storage service. # Field id of the field containing the finding.
"name": "A String", # Name describing the field.
},
"recordKey": { # Message for a unique key indicating a record that contains a finding. # Key of the finding.
"bigQueryKey": { # Row key for identifying a record in BigQuery table. # Datastore key
"rowNumber": "A String", # Row number inferred at the time the table was scanned. This value is nondeterministic, cannot be queried, and may be null for inspection jobs. To locate findings within a table, specify `inspect_job.storage_config.big_query_options.identifying_fields` in `CreateDlpJobRequest`.
"tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference.
"datasetId": "A String", # Dataset ID of the table.
"projectId": "A String", # The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call.
"tableId": "A String", # Name of the table.
},
},
"datastoreKey": { # Record key for a finding in Cloud Datastore. # BigQuery key
"entityKey": { # A unique identifier for a Datastore entity. If a key's partition ID or any of its path kinds or names are reserved/read-only, the key is reserved/read-only. A reserved/read-only key is forbidden in certain documented contexts. # Datastore entity key.
"partitionId": { # Datastore partition ID. A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty. A partition ID contains several dimensions: project ID and namespace ID. # Entities are partitioned into subsets, currently identified by a project ID and namespace ID. Queries are scoped to a single partition.
"namespaceId": "A String", # If not empty, the ID of the namespace to which the entities belong.
"projectId": "A String", # The ID of the project to which the entities belong.
},
"path": [ # The entity path. An entity path consists of one or more elements composed of a kind and a string or numerical identifier, which identify entities. The first element identifies a _root entity_, the second element identifies a _child_ of the root entity, the third element identifies a child of the second entity, and so forth. The entities identified by all prefixes of the path are called the element's _ancestors_. A path can never be empty, and a path can have at most 100 elements.
{ # A (kind, ID/name) pair used to construct a key path. If either name or ID is set, the element is complete. If neither is set, the element is incomplete.
"id": "A String", # The auto-allocated ID of the entity. Never equal to zero. Values less than zero are discouraged and may not be supported in the future.
"kind": "A String", # The kind of the entity. A kind matching regex `__.*__` is reserved/read-only. A kind must not contain more than 1500 bytes when UTF-8 encoded. Cannot be `""`.
"name": "A String", # The name of the entity. A name matching regex `__.*__` is reserved/read-only. A name must not be more than 1500 bytes when UTF-8 encoded. Cannot be `""`.
},
],
},
},
"idValues": [ # Values of identifying columns in the given row. Order of values matches the order of `identifying_fields` specified in the scanning request.
"A String",
],
},
"tableLocation": { # Location of a finding within a table. # Location within a `ContentItem.Table`.
"rowIndex": "A String", # The zero-based index of the row where the finding is located. Only populated for resources that have a natural ordering, not BigQuery. In BigQuery, to identify the row a finding came from, populate BigQueryOptions.identifying_fields with your primary key column names and when you store the findings the value of those columns will be stored inside of Finding.
},
},
},
],
},
"name": "A String", # Resource name in format projects/{project}/locations/{location}/findings/{finding} Populated only when viewing persisted findings.
"quote": "A String", # The content that was found. Even if the content is not textual, it may be converted to a textual representation here. Provided if `include_quote` is true and the finding is less than or equal to 4096 bytes long. If the finding exceeds 4096 bytes in length, the quote may be omitted.
"quoteInfo": { # Message for infoType-dependent details parsed from quote. # Contains data parsed from quotes. Only populated if include_quote was set to true and a supported infoType was requested. Currently supported infoTypes: DATE, DATE_OF_BIRTH and TIME.
"dateTime": { # Message for a date time object. e.g. 2018-01-01, 5th August. # The date time indicated by the quote.
"date": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # One or more of the following must be set. Must be a valid date or time value.
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeek": "A String", # Day of week
"time": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # Time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timeZone": { # Time zone of the date time object. # Time zone
"offsetMinutes": 42, # Set only if the offset can be determined. Positive for time ahead of UTC. E.g. For "UTC-9", this value is -540.
},
},
},
"resourceName": "A String", # The job that stored the finding.
"triggerName": "A String", # Job trigger name, if applicable, for this finding.
},
],
"findingsTruncated": True or False, # If true, then this item might have more findings than were returned, and the findings returned are an arbitrary subset of all findings. The findings list might be truncated because the input items were too large, or because the server reached the maximum amount of resources allowed for a single API call. For best results, divide the input into smaller batches.
},
}

reidentify(parent, body=None, x__xgafv=None)

Re-identifies content that has been de-identified. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization#re-identification_in_free_text_code_example to learn more.

Args:
parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required)
body: object, The request body.
The object takes the form of:

{ # Request to re-identify an item.
"inspectConfig": { # Configuration description of the scanning process. When used with redactContent only info_types and min_likelihood are currently used. # Configuration for the inspector.
"contentOptions": [ # Deprecated and unused.
"A String",
],
"customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more.
{ # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question.
"detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType.
{ # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType.
"hotwordRule": { # The rule that adjusts the likelihood of findings within a certain proximity of hotwords. # Hotword-based detection rule.
"hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
"groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
42,
],
"pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
},
"likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as part of a detection rule. # Likelihood adjustment to apply to all matching findings.
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
"relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`.
},
"proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "$\d{3}$ \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "$xxx$", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
"windowAfter": 42, # Number of characters after the finding to consider.
"windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
},
},
},
],
"dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType.
"cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
"path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt`
},
"wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
"infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
"likelihood": "A String", # Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to `VERY_LIKELY` if not specified.
"regex": { # Message defining a custom regular expression. # Regular expression based CustomInfoType.
"groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
42,
],
"pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
},
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"storedType": { # A reference to a StoredInfoType to use with scanning. # Load an existing `StoredInfoType` resource for use in `InspectDataSource`. Not currently supported in `InspectContent`.
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system.
"name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`.
},
"surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing.
},
},
],
"excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling.
"includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
"infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
"limits": { # Configuration to control the number of findings returned for inspection. This is not used for de-identification or data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. # Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes.
{ # Max findings configuration per infoType, per content item or long running DlpJob.
"infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
"maxFindings": 42, # Max findings limit for the given infoType.
},
],
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
"maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.
},
"minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood).
"minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
{ # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request.
"infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
"minLikelihood": "A String", # Only returns findings equal to or above this threshold. This field is required or else the configuration fails.
},
],
"ruleSet": [ # Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set.
"infoTypes": [ # List of infoTypes this rule set is applied to.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order.
{ # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`.
"exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule.
"dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule.
"cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
"path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt`
},
"wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"excludeByHotword": { # The rule to exclude findings based on a hotword. For record inspection of tables, column names are considered hotwords. An example of this is to exclude a finding if it belongs to a BigQuery column that matches a specific pattern. # Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
"hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
"groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
42,
],
"pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
},
"proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.
"windowAfter": 42, # Number of characters after the finding to consider.
"windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
},
},
"excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule.
"infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
},
"matchingType": "A String", # How the rule is applied, see MatchingType documentation for details.
"regex": { # Message defining a custom regular expression. # Regular expression which defines the rule.
"groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
42,
],
"pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
},
},
"hotwordRule": { # The rule that adjusts the likelihood of findings within a certain proximity of hotwords. # Hotword-based detection rule.
"hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword.
"groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
42,
],
"pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
},
"likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as part of a detection rule. # Likelihood adjustment to apply to all matching findings.
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value.
"relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`.
},
"proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "$\d{3}$ \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "$xxx$", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
"windowAfter": 42, # Number of characters after the finding to consider.
"windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
},
},
},
],
},
],
},
"inspectTemplateName": "A String", # Template to use. Any configuration directly specified in `inspect_config` will override those set in the template. Singular fields that are set in this request will replace their corresponding fields in the template. Repeated fields are appended. Singular sub-messages and groups are recursively merged.
"item": { # Type of content to inspect. # The item to re-identify. Will be treated as text.
"byteItem": { # Container for bytes to inspect or redact. # Content data to inspect or redact. Replaces `type` and `data`.
"data": "A String", # Content data to inspect or redact.
"type": "A String", # The type of data stored in the bytes string. Default will be TEXT_UTF8.
},
"table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-text#inspecting_a_table to learn more.
"headers": [ # Headers of the table.
{ # General identifier of a data field in a storage service.
"name": "A String", # Name describing the field.
},
],
"rows": [ # Rows of the table.
{ # Values of the row.
"values": [ # Individual cells.
{ # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
],
},
],
},
"value": "A String", # String data to inspect or redact.
},
"locationId": "A String", # Deprecated. This field has no effect.
"reidentifyConfig": { # The configuration that controls how the data will change. # Configuration for the re-identification of the content item. This field shares the same proto message type that is used for de-identification, however its usage here is for the reversal of the previous de-identification. Re-identification is performed by examining the transformations used to de-identify the items and executing the reverse. This requires that only reversible transformations be provided here. The reversible transformations are: - `CryptoDeterministicConfig` - `CryptoReplaceFfxFpeConfig`
"imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact.
"transforms": [ # List of transforms to make.
{ # Configuration for determining how redaction of images should occur.
"allInfoTypes": { # Apply transformation to all findings. # Apply transformation to all findings not specified in other ImageTransformation's selected_info_types. Only one instance is allowed within the ImageTransformations message.
},
"allText": { # Apply to all text. # Apply transformation to all text that doesn't match an infoType. Only one instance is allowed within the ImageTransformations message.
},
"redactionColor": { # Represents a color in the RGB color space. # The color to use when redacting content from an image. If not specified, the default is black.
"blue": 3.14, # The amount of blue in the color as a value in the interval [0, 1].
"green": 3.14, # The amount of green in the color as a value in the interval [0, 1].
"red": 3.14, # The amount of red in the color as a value in the interval [0, 1].
},
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types.
"infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
},
},
],
},
"infoTypeTransformations": { # A type of transformation that will scan unstructured text and apply various `PrimitiveTransformation`s to each finding, where the transformation is applied to only values that were identified as a specific info_type. # Treat the dataset as free-form text and apply the same free text transformation everywhere.
"transformations": [ # Required. Transformation for each infoType. Cannot specify more than one for a given infoType.
{ # A transformation to apply to text that is identified as a specific info_type.
"infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
"primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType.
"bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing
"buckets": [ # Set of buckets. Ranges must be non-overlapping.
{ # Bucket is represented as a range, along with replacement values.
"max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"min": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Lower bound of the range, inclusive. Type should be the same as max if used.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"replacementValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Replacement value for this bucket.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"characterMaskConfig": { # Partially mask a string by replacing a given number of characters with a fixed character. Masking can start from the beginning or end of the string. This can be used on data of any type (numbers, longs, and so on) and when de-identifying structured data we'll attempt to preserve the original data's type. (This allows you to take a long like 123 and modify it to a string like **3. # Mask
"charactersToIgnore": [ # When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is `555-555-5555` and you instruct Cloud DLP to skip `-` and mask 5 characters with `*`, Cloud DLP returns `***-**5-5555`.
{ # Characters to skip when doing deidentification of a value. These will be left alone and skipped.
"charactersToSkip": "A String", # Characters to not transform when masking.
"commonCharactersToIgnore": "A String", # Common characters to not transform when masking. Useful to avoid removing punctuation.
},
],
"maskingCharacter": "A String", # Character to use to mask the sensitive values—for example, `*` for an alphabetic string such as a name, or `0` for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to `*` for strings, and `0` for digits.
"numberToMask": 42, # Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If `number_to_mask` is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - `masking_character` is `*` - `number_to_mask` is `-4` - `reverse_order` is `false` - `CharsToIgnore` includes `-` - Input string is `1234-5678-9012-3456` The resulting de-identified string is `****-****-****-3456`. Cloud DLP masks all but the last four characters. If `reverse_order` is `true`, all but the first four characters are masked as `1234-****-****-****`.
"reverseOrder": True or False, # Mask characters in reverse order. For example, if `masking_character` is `0`, `number_to_mask` is `14`, and `reverse_order` is `false`, then the input string `1234-5678-9012-3456` is masked as `00000000000000-3456`. If `masking_character` is `*`, `number_to_mask` is `3`, and `reverse_order` is `true`, then the string `12345` is masked as `12***`.
},
"cryptoDeterministicConfig": { # Pseudonymization method that generates deterministic encryption for the given input. Outputs a base64 encoded representation of the encrypted output. Uses AES-SIV based on the RFC https://tools.ietf.org/html/rfc5297. # Deterministic Crypto
"context": { # General identifier of a data field in a storage service. # A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
},
"cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe
"commonAlphabet": "A String", # Common alphabets.
"context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/
"radix": 42, # The native way to select the alphabet. Must be in the range [2, 95].
"surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift
"context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past.
"upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
},
"fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing
"bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
"lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"upperBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if `upper_bound` = 89, then all values greater than 89 are replaced with the value "89+".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"redactConfig": { # Redact a given value. For example, if used with an `InfoTypeTransformation` transforming PHONE_NUMBER, and input 'My phone number is 206-555-0123', the output would be 'My phone number is '. # Redact
},
"replaceConfig": { # Replace each input value with a given `Value`. # Replace with a specified value.
"newValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to replace it with.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary.
"wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"replaceWithInfoTypeConfig": { # Replace each matching finding with the name of the info_type. # Replace with infotype
},
"timePartConfig": { # For use with `Date`, `Timestamp`, and `TimeOfDay`, extract or preserve a portion of the value. # Time extraction
"partToExtract": "A String", # The part of the time to keep.
},
},
},
],
},
"recordTransformations": { # A type of transformation that is applied over structured data such as a table. # Treat the dataset as structured. Transformations can be applied to specific locations within structured datasets, such as transforming a column within a table.
"fieldTransformations": [ # Transform the record by applying various field transformations.
{ # The transformation to apply to the field.
"condition": { # A condition for determining whether a transformation should be applied to a field. # Only apply the transformation if the condition evaluates to true for the given `RecordCondition`. The conditions are allowed to reference fields that are not used in the actual transformation. Example Use Cases: - Apply a different bucket transformation to an age column if the zip code column for the same record is within a specific range. - Redact a field if the date of birth field is greater than 85.
"expressions": { # An expression, consisting of an operator and conditions. # An expression.
"conditions": { # A collection of conditions. # Conditions to apply to the expression.
"conditions": [ # A collection of conditions.
{ # The field type of `value` and `field` do not need to match to be considered equal, but not all comparisons are possible. EQUAL_TO and NOT_EQUAL_TO attempt to compare even with incompatible types, but all other comparisons are invalid with incompatible types. A `value` of type: - `string` can be compared against all other types - `boolean` can only be compared against other booleans - `integer` can be compared against doubles or a string if the string value can be parsed as an integer. - `double` can be compared against integers or a string if the string can be parsed as a double. - `Timestamp` can be compared against strings in RFC 3339 date string format. - `TimeOfDay` can be compared against timestamps and strings in the format of 'HH:mm:ss'. If we fail to compare do to type mismatch, a warning will be given and the condition will evaluate to false.
"field": { # General identifier of a data field in a storage service. # Required. Field within the record this condition is evaluated against.
"name": "A String", # Name describing the field.
},
"operator": "A String", # Required. Operator used to compare the field or infoType to the value.
"value": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to compare against. [Mandatory, except for `EXISTS` tests.]
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
},
},
"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
{ # General identifier of a data field in a storage service.
"name": "A String", # Name describing the field.
},
],
"infoTypeTransformations": { # A type of transformation that will scan unstructured text and apply various `PrimitiveTransformation`s to each finding, where the transformation is applied to only values that were identified as a specific info_type. # Treat the contents of the field as free text, and selectively transform content that matches an `InfoType`.
"transformations": [ # Required. Transformation for each infoType. Cannot specify more than one for a given infoType.
{ # A transformation to apply to text that is identified as a specific info_type.
"infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
"primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType.
"bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing
"buckets": [ # Set of buckets. Ranges must be non-overlapping.
{ # Bucket is represented as a range, along with replacement values.
"max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"min": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Lower bound of the range, inclusive. Type should be the same as max if used.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"replacementValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Replacement value for this bucket.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"characterMaskConfig": { # Partially mask a string by replacing a given number of characters with a fixed character. Masking can start from the beginning or end of the string. This can be used on data of any type (numbers, longs, and so on) and when de-identifying structured data we'll attempt to preserve the original data's type. (This allows you to take a long like 123 and modify it to a string like **3. # Mask
"charactersToIgnore": [ # When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is `555-555-5555` and you instruct Cloud DLP to skip `-` and mask 5 characters with `*`, Cloud DLP returns `***-**5-5555`.
{ # Characters to skip when doing deidentification of a value. These will be left alone and skipped.
"charactersToSkip": "A String", # Characters to not transform when masking.
"commonCharactersToIgnore": "A String", # Common characters to not transform when masking. Useful to avoid removing punctuation.
},
],
"maskingCharacter": "A String", # Character to use to mask the sensitive values—for example, `*` for an alphabetic string such as a name, or `0` for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to `*` for strings, and `0` for digits.
"numberToMask": 42, # Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If `number_to_mask` is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - `masking_character` is `*` - `number_to_mask` is `-4` - `reverse_order` is `false` - `CharsToIgnore` includes `-` - Input string is `1234-5678-9012-3456` The resulting de-identified string is `****-****-****-3456`. Cloud DLP masks all but the last four characters. If `reverse_order` is `true`, all but the first four characters are masked as `1234-****-****-****`.
"reverseOrder": True or False, # Mask characters in reverse order. For example, if `masking_character` is `0`, `number_to_mask` is `14`, and `reverse_order` is `false`, then the input string `1234-5678-9012-3456` is masked as `00000000000000-3456`. If `masking_character` is `*`, `number_to_mask` is `3`, and `reverse_order` is `true`, then the string `12345` is masked as `12***`.
},
"cryptoDeterministicConfig": { # Pseudonymization method that generates deterministic encryption for the given input. Outputs a base64 encoded representation of the encrypted output. Uses AES-SIV based on the RFC https://tools.ietf.org/html/rfc5297. # Deterministic Crypto
"context": { # General identifier of a data field in a storage service. # A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
},
"cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe
"commonAlphabet": "A String", # Common alphabets.
"context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/
"radix": 42, # The native way to select the alphabet. Must be in the range [2, 95].
"surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift
"context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past.
"upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
},
"fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing
"bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
"lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"upperBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if `upper_bound` = 89, then all values greater than 89 are replaced with the value "89+".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"redactConfig": { # Redact a given value. For example, if used with an `InfoTypeTransformation` transforming PHONE_NUMBER, and input 'My phone number is 206-555-0123', the output would be 'My phone number is '. # Redact
},
"replaceConfig": { # Replace each input value with a given `Value`. # Replace with a specified value.
"newValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to replace it with.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary.
"wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"replaceWithInfoTypeConfig": { # Replace each matching finding with the name of the info_type. # Replace with infotype
},
"timePartConfig": { # For use with `Date`, `Timestamp`, and `TimeOfDay`, extract or preserve a portion of the value. # Time extraction
"partToExtract": "A String", # The part of the time to keep.
},
},
},
],
},
"primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field.
"bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing
"buckets": [ # Set of buckets. Ranges must be non-overlapping.
{ # Bucket is represented as a range, along with replacement values.
"max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"min": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Lower bound of the range, inclusive. Type should be the same as max if used.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"replacementValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Replacement value for this bucket.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"characterMaskConfig": { # Partially mask a string by replacing a given number of characters with a fixed character. Masking can start from the beginning or end of the string. This can be used on data of any type (numbers, longs, and so on) and when de-identifying structured data we'll attempt to preserve the original data's type. (This allows you to take a long like 123 and modify it to a string like **3. # Mask
"charactersToIgnore": [ # When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is `555-555-5555` and you instruct Cloud DLP to skip `-` and mask 5 characters with `*`, Cloud DLP returns `***-**5-5555`.
{ # Characters to skip when doing deidentification of a value. These will be left alone and skipped.
"charactersToSkip": "A String", # Characters to not transform when masking.
"commonCharactersToIgnore": "A String", # Common characters to not transform when masking. Useful to avoid removing punctuation.
},
],
"maskingCharacter": "A String", # Character to use to mask the sensitive values—for example, `*` for an alphabetic string such as a name, or `0` for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to `*` for strings, and `0` for digits.
"numberToMask": 42, # Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If `number_to_mask` is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - `masking_character` is `*` - `number_to_mask` is `-4` - `reverse_order` is `false` - `CharsToIgnore` includes `-` - Input string is `1234-5678-9012-3456` The resulting de-identified string is `****-****-****-3456`. Cloud DLP masks all but the last four characters. If `reverse_order` is `true`, all but the first four characters are masked as `1234-****-****-****`.
"reverseOrder": True or False, # Mask characters in reverse order. For example, if `masking_character` is `0`, `number_to_mask` is `14`, and `reverse_order` is `false`, then the input string `1234-5678-9012-3456` is masked as `00000000000000-3456`. If `masking_character` is `*`, `number_to_mask` is `3`, and `reverse_order` is `true`, then the string `12345` is masked as `12***`.
},
"cryptoDeterministicConfig": { # Pseudonymization method that generates deterministic encryption for the given input. Outputs a base64 encoded representation of the encrypted output. Uses AES-SIV based on the RFC https://tools.ietf.org/html/rfc5297. # Deterministic Crypto
"context": { # General identifier of a data field in a storage service. # A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
},
"cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe
"commonAlphabet": "A String", # Common alphabets.
"context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/
"radix": 42, # The native way to select the alphabet. Must be in the range [2, 95].
"surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift
"context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past.
"upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
},
"fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing
"bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
"lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"upperBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if `upper_bound` = 89, then all values greater than 89 are replaced with the value "89+".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"redactConfig": { # Redact a given value. For example, if used with an `InfoTypeTransformation` transforming PHONE_NUMBER, and input 'My phone number is 206-555-0123', the output would be 'My phone number is '. # Redact
},
"replaceConfig": { # Replace each input value with a given `Value`. # Replace with a specified value.
"newValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to replace it with.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary.
"wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"replaceWithInfoTypeConfig": { # Replace each matching finding with the name of the info_type. # Replace with infotype
},
"timePartConfig": { # For use with `Date`, `Timestamp`, and `TimeOfDay`, extract or preserve a portion of the value. # Time extraction
"partToExtract": "A String", # The part of the time to keep.
},
},
},
],
"recordSuppressions": [ # Configuration defining which records get suppressed entirely. Records that match any suppression rule are omitted from the output.
{ # Configuration to suppress records whose suppression conditions evaluate to true.
"condition": { # A condition for determining whether a transformation should be applied to a field. # A condition that when it evaluates to true will result in the record being evaluated to be suppressed from the transformed content.
"expressions": { # An expression, consisting of an operator and conditions. # An expression.
"conditions": { # A collection of conditions. # Conditions to apply to the expression.
"conditions": [ # A collection of conditions.
{ # The field type of `value` and `field` do not need to match to be considered equal, but not all comparisons are possible. EQUAL_TO and NOT_EQUAL_TO attempt to compare even with incompatible types, but all other comparisons are invalid with incompatible types. A `value` of type: - `string` can be compared against all other types - `boolean` can only be compared against other booleans - `integer` can be compared against doubles or a string if the string value can be parsed as an integer. - `double` can be compared against integers or a string if the string can be parsed as a double. - `Timestamp` can be compared against strings in RFC 3339 date string format. - `TimeOfDay` can be compared against timestamps and strings in the format of 'HH:mm:ss'. If we fail to compare do to type mismatch, a warning will be given and the condition will evaluate to false.
"field": { # General identifier of a data field in a storage service. # Required. Field within the record this condition is evaluated against.
"name": "A String", # Name describing the field.
},
"operator": "A String", # Required. Operator used to compare the field or infoType to the value.
"value": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to compare against. [Mandatory, except for `EXISTS` tests.]
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
},
},
},
],
},
"transformationErrorHandling": { # How to handle transformation errors during de-identification. A transformation error occurs when the requested transformation is incompatible with the data. For example, trying to de-identify an IP address using a `DateShift` transformation would result in a transformation error, since date info cannot be extracted from an IP address. Information about any incompatible transformations, and how they were handled, is returned in the response as part of the `TransformationOverviews`. # Mode for handling transformation errors. If left unspecified, the default mode is `TransformationErrorHandling.ThrowError`.
"leaveUntransformed": { # Skips the data without modifying it if the requested transformation would cause an error. For example, if a `DateShift` transformation were applied an an IP address, this mode would leave the IP address unchanged in the response. # Ignore errors
},
"throwError": { # Throw an error and fail the request when a transformation error occurs. # Throw an error
},
},
},
"reidentifyTemplateName": "A String", # Template to use. References an instance of `DeidentifyTemplate`. Any configuration directly specified in `reidentify_config` or `inspect_config` will override those set in the template. The `DeidentifyTemplate` used must include only reversible transformations. Singular fields that are set in this request will replace their corresponding fields in the template. Repeated fields are appended. Singular sub-messages and groups are recursively merged.
}

x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # Results of re-identifying an item.
"item": { # Type of content to inspect. # The re-identified item.
"byteItem": { # Container for bytes to inspect or redact. # Content data to inspect or redact. Replaces `type` and `data`.
"data": "A String", # Content data to inspect or redact.
"type": "A String", # The type of data stored in the bytes string. Default will be TEXT_UTF8.
},
"table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-text#inspecting_a_table to learn more.
"headers": [ # Headers of the table.
{ # General identifier of a data field in a storage service.
"name": "A String", # Name describing the field.
},
],
"rows": [ # Rows of the table.
{ # Values of the row.
"values": [ # Individual cells.
{ # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
],
},
],
},
"value": "A String", # String data to inspect or redact.
},
"overview": { # Overview of the modifications that occurred. # An overview of the changes that were made to the `item`.
"transformationSummaries": [ # Transformations applied to the dataset.
{ # Summary of a single transformation. Only one of 'transformation', 'field_transformation', or 'record_suppress' will be set.
"field": { # General identifier of a data field in a storage service. # Set if the transformation was limited to a specific FieldId.
"name": "A String", # Name describing the field.
},
"fieldTransformations": [ # The field transformation that was applied. If multiple field transformations are requested for a single field, this list will contain all of them; otherwise, only one is supplied.
{ # The transformation to apply to the field.
"condition": { # A condition for determining whether a transformation should be applied to a field. # Only apply the transformation if the condition evaluates to true for the given `RecordCondition`. The conditions are allowed to reference fields that are not used in the actual transformation. Example Use Cases: - Apply a different bucket transformation to an age column if the zip code column for the same record is within a specific range. - Redact a field if the date of birth field is greater than 85.
"expressions": { # An expression, consisting of an operator and conditions. # An expression.
"conditions": { # A collection of conditions. # Conditions to apply to the expression.
"conditions": [ # A collection of conditions.
{ # The field type of `value` and `field` do not need to match to be considered equal, but not all comparisons are possible. EQUAL_TO and NOT_EQUAL_TO attempt to compare even with incompatible types, but all other comparisons are invalid with incompatible types. A `value` of type: - `string` can be compared against all other types - `boolean` can only be compared against other booleans - `integer` can be compared against doubles or a string if the string value can be parsed as an integer. - `double` can be compared against integers or a string if the string can be parsed as a double. - `Timestamp` can be compared against strings in RFC 3339 date string format. - `TimeOfDay` can be compared against timestamps and strings in the format of 'HH:mm:ss'. If we fail to compare do to type mismatch, a warning will be given and the condition will evaluate to false.
"field": { # General identifier of a data field in a storage service. # Required. Field within the record this condition is evaluated against.
"name": "A String", # Name describing the field.
},
"operator": "A String", # Required. Operator used to compare the field or infoType to the value.
"value": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to compare against. [Mandatory, except for `EXISTS` tests.]
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
},
},
"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
{ # General identifier of a data field in a storage service.
"name": "A String", # Name describing the field.
},
],
"infoTypeTransformations": { # A type of transformation that will scan unstructured text and apply various `PrimitiveTransformation`s to each finding, where the transformation is applied to only values that were identified as a specific info_type. # Treat the contents of the field as free text, and selectively transform content that matches an `InfoType`.
"transformations": [ # Required. Transformation for each infoType. Cannot specify more than one for a given infoType.
{ # A transformation to apply to text that is identified as a specific info_type.
"infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`.
{ # Type of information detected by the API.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
],
"primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType.
"bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing
"buckets": [ # Set of buckets. Ranges must be non-overlapping.
{ # Bucket is represented as a range, along with replacement values.
"max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"min": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Lower bound of the range, inclusive. Type should be the same as max if used.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"replacementValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Replacement value for this bucket.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"characterMaskConfig": { # Partially mask a string by replacing a given number of characters with a fixed character. Masking can start from the beginning or end of the string. This can be used on data of any type (numbers, longs, and so on) and when de-identifying structured data we'll attempt to preserve the original data's type. (This allows you to take a long like 123 and modify it to a string like **3. # Mask
"charactersToIgnore": [ # When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is `555-555-5555` and you instruct Cloud DLP to skip `-` and mask 5 characters with `*`, Cloud DLP returns `***-**5-5555`.
{ # Characters to skip when doing deidentification of a value. These will be left alone and skipped.
"charactersToSkip": "A String", # Characters to not transform when masking.
"commonCharactersToIgnore": "A String", # Common characters to not transform when masking. Useful to avoid removing punctuation.
},
],
"maskingCharacter": "A String", # Character to use to mask the sensitive values—for example, `*` for an alphabetic string such as a name, or `0` for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to `*` for strings, and `0` for digits.
"numberToMask": 42, # Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If `number_to_mask` is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - `masking_character` is `*` - `number_to_mask` is `-4` - `reverse_order` is `false` - `CharsToIgnore` includes `-` - Input string is `1234-5678-9012-3456` The resulting de-identified string is `****-****-****-3456`. Cloud DLP masks all but the last four characters. If `reverse_order` is `true`, all but the first four characters are masked as `1234-****-****-****`.
"reverseOrder": True or False, # Mask characters in reverse order. For example, if `masking_character` is `0`, `number_to_mask` is `14`, and `reverse_order` is `false`, then the input string `1234-5678-9012-3456` is masked as `00000000000000-3456`. If `masking_character` is `*`, `number_to_mask` is `3`, and `reverse_order` is `true`, then the string `12345` is masked as `12***`.
},
"cryptoDeterministicConfig": { # Pseudonymization method that generates deterministic encryption for the given input. Outputs a base64 encoded representation of the encrypted output. Uses AES-SIV based on the RFC https://tools.ietf.org/html/rfc5297. # Deterministic Crypto
"context": { # General identifier of a data field in a storage service. # A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
},
"cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe
"commonAlphabet": "A String", # Common alphabets.
"context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/
"radix": 42, # The native way to select the alphabet. Must be in the range [2, 95].
"surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift
"context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past.
"upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
},
"fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing
"bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
"lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"upperBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if `upper_bound` = 89, then all values greater than 89 are replaced with the value "89+".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"redactConfig": { # Redact a given value. For example, if used with an `InfoTypeTransformation` transforming PHONE_NUMBER, and input 'My phone number is 206-555-0123', the output would be 'My phone number is '. # Redact
},
"replaceConfig": { # Replace each input value with a given `Value`. # Replace with a specified value.
"newValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to replace it with.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary.
"wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"replaceWithInfoTypeConfig": { # Replace each matching finding with the name of the info_type. # Replace with infotype
},
"timePartConfig": { # For use with `Date`, `Timestamp`, and `TimeOfDay`, extract or preserve a portion of the value. # Time extraction
"partToExtract": "A String", # The part of the time to keep.
},
},
},
],
},
"primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field.
"bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing
"buckets": [ # Set of buckets. Ranges must be non-overlapping.
{ # Bucket is represented as a range, along with replacement values.
"max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"min": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Lower bound of the range, inclusive. Type should be the same as max if used.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"replacementValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Replacement value for this bucket.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"characterMaskConfig": { # Partially mask a string by replacing a given number of characters with a fixed character. Masking can start from the beginning or end of the string. This can be used on data of any type (numbers, longs, and so on) and when de-identifying structured data we'll attempt to preserve the original data's type. (This allows you to take a long like 123 and modify it to a string like **3. # Mask
"charactersToIgnore": [ # When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is `555-555-5555` and you instruct Cloud DLP to skip `-` and mask 5 characters with `*`, Cloud DLP returns `***-**5-5555`.
{ # Characters to skip when doing deidentification of a value. These will be left alone and skipped.
"charactersToSkip": "A String", # Characters to not transform when masking.
"commonCharactersToIgnore": "A String", # Common characters to not transform when masking. Useful to avoid removing punctuation.
},
],
"maskingCharacter": "A String", # Character to use to mask the sensitive values—for example, `*` for an alphabetic string such as a name, or `0` for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to `*` for strings, and `0` for digits.
"numberToMask": 42, # Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If `number_to_mask` is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - `masking_character` is `*` - `number_to_mask` is `-4` - `reverse_order` is `false` - `CharsToIgnore` includes `-` - Input string is `1234-5678-9012-3456` The resulting de-identified string is `****-****-****-3456`. Cloud DLP masks all but the last four characters. If `reverse_order` is `true`, all but the first four characters are masked as `1234-****-****-****`.
"reverseOrder": True or False, # Mask characters in reverse order. For example, if `masking_character` is `0`, `number_to_mask` is `14`, and `reverse_order` is `false`, then the input string `1234-5678-9012-3456` is masked as `00000000000000-3456`. If `masking_character` is `*`, `number_to_mask` is `3`, and `reverse_order` is `true`, then the string `12345` is masked as `12***`.
},
"cryptoDeterministicConfig": { # Pseudonymization method that generates deterministic encryption for the given input. Outputs a base64 encoded representation of the encrypted output. Uses AES-SIV based on the RFC https://tools.ietf.org/html/rfc5297. # Deterministic Crypto
"context": { # General identifier of a data field in a storage service. # A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
},
"cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe
"commonAlphabet": "A String", # Common alphabets.
"context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/
"radix": 42, # The native way to select the alphabet. Must be in the range [2, 95].
"surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift
"context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past.
"upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
},
"fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing
"bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
"lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"upperBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if `upper_bound` = 89, then all values greater than 89 are replaced with the value "89+".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"redactConfig": { # Redact a given value. For example, if used with an `InfoTypeTransformation` transforming PHONE_NUMBER, and input 'My phone number is 206-555-0123', the output would be 'My phone number is '. # Redact
},
"replaceConfig": { # Replace each input value with a given `Value`. # Replace with a specified value.
"newValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to replace it with.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary.
"wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"replaceWithInfoTypeConfig": { # Replace each matching finding with the name of the info_type. # Replace with infotype
},
"timePartConfig": { # For use with `Date`, `Timestamp`, and `TimeOfDay`, extract or preserve a portion of the value. # Time extraction
"partToExtract": "A String", # The part of the time to keep.
},
},
},
],
"infoType": { # Type of information detected by the API. # Set if the transformation was limited to a specific InfoType.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
"recordSuppress": { # Configuration to suppress records whose suppression conditions evaluate to true. # The specific suppression option these stats apply to.
"condition": { # A condition for determining whether a transformation should be applied to a field. # A condition that when it evaluates to true will result in the record being evaluated to be suppressed from the transformed content.
"expressions": { # An expression, consisting of an operator and conditions. # An expression.
"conditions": { # A collection of conditions. # Conditions to apply to the expression.
"conditions": [ # A collection of conditions.
{ # The field type of `value` and `field` do not need to match to be considered equal, but not all comparisons are possible. EQUAL_TO and NOT_EQUAL_TO attempt to compare even with incompatible types, but all other comparisons are invalid with incompatible types. A `value` of type: - `string` can be compared against all other types - `boolean` can only be compared against other booleans - `integer` can be compared against doubles or a string if the string value can be parsed as an integer. - `double` can be compared against integers or a string if the string can be parsed as a double. - `Timestamp` can be compared against strings in RFC 3339 date string format. - `TimeOfDay` can be compared against timestamps and strings in the format of 'HH:mm:ss'. If we fail to compare do to type mismatch, a warning will be given and the condition will evaluate to false.
"field": { # General identifier of a data field in a storage service. # Required. Field within the record this condition is evaluated against.
"name": "A String", # Name describing the field.
},
"operator": "A String", # Required. Operator used to compare the field or infoType to the value.
"value": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to compare against. [Mandatory, except for `EXISTS` tests.]
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
},
},
},
"results": [ # Collection of all transformations that took place or had an error.
{ # A collection that informs the user the number of times a particular `TransformationResultCode` and error details occurred.
"code": "A String", # Outcome of the transformation.
"count": "A String", # Number of transformations counted by this result.
"details": "A String", # A place for warnings or errors to show up if a transformation didn't work as expected.
},
],
"transformation": { # A rule for transforming a value. # The specific transformation these stats apply to.
"bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing
"buckets": [ # Set of buckets. Ranges must be non-overlapping.
{ # Bucket is represented as a range, along with replacement values.
"max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"min": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Lower bound of the range, inclusive. Type should be the same as max if used.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"replacementValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Replacement value for this bucket.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
],
},
"characterMaskConfig": { # Partially mask a string by replacing a given number of characters with a fixed character. Masking can start from the beginning or end of the string. This can be used on data of any type (numbers, longs, and so on) and when de-identifying structured data we'll attempt to preserve the original data's type. (This allows you to take a long like 123 and modify it to a string like **3. # Mask
"charactersToIgnore": [ # When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is `555-555-5555` and you instruct Cloud DLP to skip `-` and mask 5 characters with `*`, Cloud DLP returns `***-**5-5555`.
{ # Characters to skip when doing deidentification of a value. These will be left alone and skipped.
"charactersToSkip": "A String", # Characters to not transform when masking.
"commonCharactersToIgnore": "A String", # Common characters to not transform when masking. Useful to avoid removing punctuation.
},
],
"maskingCharacter": "A String", # Character to use to mask the sensitive values—for example, `*` for an alphabetic string such as a name, or `0` for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to `*` for strings, and `0` for digits.
"numberToMask": 42, # Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If `number_to_mask` is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - `masking_character` is `*` - `number_to_mask` is `-4` - `reverse_order` is `false` - `CharsToIgnore` includes `-` - Input string is `1234-5678-9012-3456` The resulting de-identified string is `****-****-****-3456`. Cloud DLP masks all but the last four characters. If `reverse_order` is `true`, all but the first four characters are masked as `1234-****-****-****`.
"reverseOrder": True or False, # Mask characters in reverse order. For example, if `masking_character` is `0`, `number_to_mask` is `14`, and `reverse_order` is `false`, then the input string `1234-5678-9012-3456` is masked as `00000000000000-3456`. If `masking_character` is `*`, `number_to_mask` is `3`, and `reverse_order` is `true`, then the string `12345` is masked as `12***`.
},
"cryptoDeterministicConfig": { # Pseudonymization method that generates deterministic encryption for the given input. Outputs a base64 encoded representation of the encrypted output. Uses AES-SIV based on the RFC https://tools.ietf.org/html/rfc5297. # Deterministic Crypto
"context": { # General identifier of a data field in a storage service. # A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
},
"cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe
"commonAlphabet": "A String", # Common alphabets.
"context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/
"radix": 42, # The native way to select the alphabet. Must be in the range [2, 95].
"surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
"name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`.
"sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling.
"score": "A String", # The sensitivity score applied to the resource.
},
"version": "A String", # Optional version name for this InfoType.
},
},
"dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift
"context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
"name": "A String", # Name describing the field.
},
"cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
"kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS
"cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping.
"wrappedKey": "A String", # Required. The wrapped data crypto key.
},
"transient": { # Use this to have a random data crypto key generated. It will be discarded after the request finishes. # Transient crypto key
"name": "A String", # Required. Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate `TransientCryptoKey` protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
},
"unwrapped": { # Using raw keys is prone to security risks due to accidentally leaking the key. Choose another type of key if possible. # Unwrapped crypto key
"key": "A String", # Required. A 128/192/256 bit key.
},
},
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past.
"upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
},
"fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing
"bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
"lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
"upperBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if `upper_bound` = 89, then all values greater than 89 are replaced with the value "89+".
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"redactConfig": { # Redact a given value. For example, if used with an `InfoTypeTransformation` transforming PHONE_NUMBER, and input 'My phone number is 206-555-0123', the output would be 'My phone number is '. # Redact
},
"replaceConfig": { # Replace each input value with a given `Value`. # Replace with a specified value.
"newValue": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Value to replace it with.
"booleanValue": True or False, # boolean
"dateValue": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # date
"day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
"month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
"year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
},
"dayOfWeekValue": "A String", # day of week
"floatValue": 3.14, # float
"integerValue": "A String", # integer
"stringValue": "A String", # string
"timeValue": { # Represents a time of day. The date and time zone are either not significant or are specified elsewhere. An API may choose to allow leap seconds. Related types are google.type.Date and `google.protobuf.Timestamp`. # time of day
"hours": 42, # Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
"minutes": 42, # Minutes of hour of day. Must be from 0 to 59.
"nanos": 42, # Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
"seconds": 42, # Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
},
"timestampValue": "A String", # timestamp
},
},
"replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary.
"wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries.
"words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
"A String",
],
},
},
"replaceWithInfoTypeConfig": { # Replace each matching finding with the name of the info_type. # Replace with infotype
},
"timePartConfig": { # For use with `Date`, `Timestamp`, and `TimeOfDay`, extract or preserve a portion of the value. # Time extraction
"partToExtract": "A String", # The part of the time to keep.
},
},
"transformedBytes": "A String", # Total size in bytes that were transformed in some way.
},
],
"transformedBytes": "A String", # Total size in bytes that were transformed in some way.
},
}

Sensitive Data Protection (DLP) . projects . content

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Method Details