checkRequirement(location, body=None, x__xgafv=None)
Check a particular requirement.
Close httplib2 connections.
checkRequirement(location, body=None, x__xgafv=None)
Check a particular requirement.
Args:
location: string, Required. Full resource name of the location. Format `projects/{project_number_or_id}/locations/{location}` (required)
body: object, The request body.
The object takes the form of:
{ # Request for CheckRequirement method.
"requirementType": "A String", # The type specifying the requirement to check. The supported types are: * `discoveryengine.googleapis.com/media_recs/general/all/warning` * `discoveryengine.googleapis.com/media_recs/oyml/cvr/warning` * `discoveryengine.googleapis.com/media_recs/rfy/cvr/warning` * `discoveryengine.googleapis.com/media_recs/mlt/cvr/warning` * `discoveryengine.googleapis.com/media_recs/mp/cvr/warning` * `discoveryengine.googleapis.com/media_recs/oyml/wdps/warning` * `discoveryengine.googleapis.com/media_recs/rfy/wdps/warning` * `discoveryengine.googleapis.com/media_recs/mlt/wdps/warning`
"resources": [ # The type needed for the monitored resources: * `discoveryengine.googleapis.com/Branch`. * The labels needed for this resource: * `project`_`number` * `location`_`id` * `collection`_`id` * `datastore`_`id` * `branch`_`id` * `discoveryengine.googleapis.com/DataStore` * The labels needed for this resource: * `project`_`number` * `location`_`id` * `collection`_`id` * `datastore`_`id`
{ # An object representing a resource that can be used for monitoring, logging, billing, or other purposes. Examples include virtual machine instances, databases, and storage devices such as disks. The `type` field identifies a MonitoredResourceDescriptor object that describes the resource's schema. Information in the `labels` field identifies the actual resource and its attributes according to the schema. For example, a particular Compute Engine VM instance could be represented by the following object, because the MonitoredResourceDescriptor for `"gce_instance"` has labels `"project_id"`, `"instance_id"` and `"zone"`: { "type": "gce_instance", "labels": { "project_id": "my-project", "instance_id": "12345678901234", "zone": "us-central1-a" }}
"labels": { # Required. Values for all of the labels listed in the associated monitored resource descriptor. For example, Compute Engine VM instances use the labels `"project_id"`, `"instance_id"`, and `"zone"`.
"a_key": "A String",
},
"type": "A String", # Required. The monitored resource type. This field must match the `type` field of a MonitoredResourceDescriptor object. For example, the type of a Compute Engine VM instance is `gce_instance`. Some descriptors include the service name in the type; for example, the type of a Datastream stream is `datastream.googleapis.com/Stream`.
},
],
}
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # Response for the CheckRequirement method.
"metricResults": [ # Metric results.
{ # Metric result. The metric are in the requirement_condition.
"metricType": "A String", # Type identifier of the metric corresponding to this query result.
"name": "A String", # This metric query name is mapping to variables in the requirement_condition.
"timestamp": "A String", # Time corresponding to when this metric value was calculated.
"unit": "A String", # The unit in which this metric is reported. Follows [The Unified Code for Units of Measure](https://unitsofmeasure.org/ucum.html) standard.
"value": { # A single strongly-typed value. # Value of the metric query.
"boolValue": True or False, # A Boolean value: `true` or `false`.
"distributionValue": { # `Distribution` contains summary statistics for a population of values. It optionally contains a histogram representing the distribution of those values across a set of buckets. The summary statistics are the count, mean, sum of the squared deviation from the mean, the minimum, and the maximum of the set of population of values. The histogram is based on a sequence of buckets and gives a count of values that fall into each bucket. The boundaries of the buckets are given either explicitly or by formulas for buckets of fixed or exponentially increasing widths. Although it is not forbidden, it is generally a bad idea to include non-finite values (infinities or NaNs) in the population of values, as this will render the `mean` and `sum_of_squared_deviation` fields meaningless. # A distribution value.
"bucketCounts": [ # The number of values in each bucket of the histogram, as described in `bucket_options`. If the distribution does not have a histogram, then omit this field. If there is a histogram, then the sum of the values in `bucket_counts` must equal the value in the `count` field of the distribution. If present, `bucket_counts` should contain N values, where N is the number of buckets specified in `bucket_options`. If you supply fewer than N values, the remaining values are assumed to be 0. The order of the values in `bucket_counts` follows the bucket numbering schemes described for the three bucket types. The first value must be the count for the underflow bucket (number 0). The next N-2 values are the counts for the finite buckets (number 1 through N-2). The N'th value in `bucket_counts` is the count for the overflow bucket (number N-1).
"A String",
],
"bucketOptions": { # `BucketOptions` describes the bucket boundaries used to create a histogram for the distribution. The buckets can be in a linear sequence, an exponential sequence, or each bucket can be specified explicitly. `BucketOptions` does not include the number of values in each bucket. A bucket has an inclusive lower bound and exclusive upper bound for the values that are counted for that bucket. The upper bound of a bucket must be strictly greater than the lower bound. The sequence of N buckets for a distribution consists of an underflow bucket (number 0), zero or more finite buckets (number 1 through N - 2) and an overflow bucket (number N - 1). The buckets are contiguous: the lower bound of bucket i (i > 0) is the same as the upper bound of bucket i - 1. The buckets span the whole range of finite values: lower bound of the underflow bucket is -infinity and the upper bound of the overflow bucket is +infinity. The finite buckets are so-called because both bounds are finite. # Defines the histogram bucket boundaries. If the distribution does not contain a histogram, then omit this field.
"explicitBuckets": { # Specifies a set of buckets with arbitrary widths. There are `size(bounds) + 1` (= N) buckets. Bucket `i` has the following boundaries: Upper bound (0 <= i < N-1): bounds[i] Lower bound (1 <= i < N); bounds[i - 1] The `bounds` field must contain at least one element. If `bounds` has only one element, then there are no finite buckets, and that single element is the common boundary of the overflow and underflow buckets. # The explicit buckets.
"bounds": [ # The values must be monotonically increasing.
3.14,
],
},
"exponentialBuckets": { # Specifies an exponential sequence of buckets that have a width that is proportional to the value of the lower bound. Each bucket represents a constant relative uncertainty on a specific value in the bucket. There are `num_finite_buckets + 2` (= N) buckets. Bucket `i` has the following boundaries: Upper bound (0 <= i < N-1): scale * (growth_factor ^ i). Lower bound (1 <= i < N): scale * (growth_factor ^ (i - 1)). # The exponential buckets.
"growthFactor": 3.14, # Must be greater than 1.
"numFiniteBuckets": 42, # Must be greater than 0.
"scale": 3.14, # Must be greater than 0.
},
"linearBuckets": { # Specifies a linear sequence of buckets that all have the same width (except overflow and underflow). Each bucket represents a constant absolute uncertainty on the specific value in the bucket. There are `num_finite_buckets + 2` (= N) buckets. Bucket `i` has the following boundaries: Upper bound (0 <= i < N-1): offset + (width * i). Lower bound (1 <= i < N): offset + (width * (i - 1)). # The linear bucket.
"numFiniteBuckets": 42, # Must be greater than 0.
"offset": 3.14, # Lower bound of the first bucket.
"width": 3.14, # Must be greater than 0.
},
},
"count": "A String", # The number of values in the population. Must be non-negative. This value must equal the sum of the values in `bucket_counts` if a histogram is provided.
"exemplars": [ # Must be in increasing order of `value` field.
{ # Exemplars are example points that may be used to annotate aggregated distribution values. They are metadata that gives information about a particular value added to a Distribution bucket, such as a trace ID that was active when a value was added. They may contain further information, such as a example values and timestamps, origin, etc.
"attachments": [ # Contextual information about the example value. Examples are: Trace: type.googleapis.com/google.monitoring.v3.SpanContext Literal string: type.googleapis.com/google.protobuf.StringValue Labels dropped during aggregation: type.googleapis.com/google.monitoring.v3.DroppedLabels There may be only a single attachment of any given message type in a single exemplar, and this is enforced by the system.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"timestamp": "A String", # The observation (sampling) time of the above value.
"value": 3.14, # Value of the exemplar point. This value determines to which bucket the exemplar belongs.
},
],
"mean": 3.14, # The arithmetic mean of the values in the population. If `count` is zero then this field must be zero.
"range": { # The range of the population values. # If specified, contains the range of the population values. The field must not be present if the `count` is zero.
"max": 3.14, # The maximum of the population values.
"min": 3.14, # The minimum of the population values.
},
"sumOfSquaredDeviation": 3.14, # The sum of squared deviations from the mean of the values in the population. For values x_i this is: Sum[i=1..n]((x_i - mean)^2) Knuth, "The Art of Computer Programming", Vol. 2, page 232, 3rd edition describes Welford's method for accumulating this sum in one pass. If `count` is zero then this field must be zero.
},
"doubleValue": 3.14, # A 64-bit double-precision floating-point number. Its magnitude is approximately ±10±300 and it has 16 significant digits of precision.
"int64Value": "A String", # A 64-bit integer. Its range is approximately ±9.2x1018.
"stringValue": "A String", # A variable-length string value.
},
},
],
"oldestMetricTimestamp": "A String", # Timestamp of the oldest calculated metric (i.e. the most stale metric). Indicates that the `requirement_result` may not accurately reflect any Event and Product Catalog updates performed after this time.
"requirement": { # A data requirement. # Requirement definition.
"condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition for evaluating the requirement result. Variables in the expression should be provided by `metrics_bindings` or `threshold_bindings`. Where `metrics_bindings` are used for computed metrics and `threshold_bindings` are used to define thresholds for corresponding `metric_bindings`.
"description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
"expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
"location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
"title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
},
"description": "A String", # The description of the requirement.
"displayName": "A String", # The name of the requirement.
"metricBindings": [ # A list of the metric bindings to be used in `condition`.
{ # Specifies a metrics query and bind its result to a variable which will be used in the `condition`.
"category": "A String", # The category of the metric's target resource. Example: "Events"
"description": "A String", # Human readable description of the corresponding metric filter.
"metricFilter": "A String", # The filter string used for metrics query. Example: "metric.type = \"discoveryengine.googleapis.com/events/day_count\" AND " "metric.conditions.time_range = \"NINETY_DAYS\""
"resourceType": "A String", # The resource being monitored for the metric.
"variableId": "A String", # The variable id to be referenced in `condition`.
},
],
"severity": [ # The severity of errors if the requirement is not met. It must be ordered from the most strict to the least strict. Examples: * `BLOCKING` * `CRITICAL` * `WARNING` All thresholds in the requirement must have all the severity here.
"A String",
],
"thresholdBindings": [ # A list of threshold bindings to be used in `condition`.
{ # Specifies a multi-level threshold to apply to apply to a `metric_bindings` in the `condition` CEL expression.
"description": "A String", # Human readable description of the corresponding threshold and sub-requirement.
"thresholdValues": [ # The values of the threshold. The values should be ordered from the most strict to the least strict.
{ # Specifies a threshold value for a given severity.
"severity": "A String", # The severity of errors if the threshold is not met. It should be one of the `severity` fields in the requirement.
"value": 3.14, # The value of the threshold.
},
],
"variableId": "A String", # The variable id to be referenced in `condition`. Must be unique across all `metric_bindings` and `threshold_bindings`.
},
],
"type": "A String", # The requirement type, used as an identifier. Must be unique. The type should prefix with service name to avoid possible collision. It's encouraged to use natural hierarchical grouping for similar requirements. Examples: * `library.googleapis.com/books/min_available_books` * `discoveryengine.googleapis.com/media_rec/recommended_for_you/conversion_rate`
"violationSamplesBindings": [ # A list of the metric bindings to be used in `condition`.
{ # Specifies a samples query and bind its result to a variable which will be used in the `condition`.
"description": "A String", # Description of this sample binding. Used by the UI to render user friendly descriptions for each requirement condition. Should be less than 128 characters long.
"sampleFilter": "A String", # The filter string used for samples query. Example: "sample.type = \"retail.googleapis.com/user_event\" AND " "sample.labels.event_type = \"PURCHASE\" "
"variableId": "A String", # The variable id to be referenced in `condition`.
},
],
},
"requirementCondition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition for evaluating the requirement result.
"description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
"expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
"location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
"title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
},
"result": "A String", # The result of the requirement. It should be one of the `severity` fields in the requirement definition. If any error happens during the evaluation, it will be `UNKNOWN`.
}
close()
Close httplib2 connections.