Vertex AI API . projects . locations . notebookExecutionJobs

Instance Methods

operations()

Returns the operations Resource.

close()

Close httplib2 connections.

create(parent, body=None, notebookExecutionJobId=None, x__xgafv=None)

Creates a NotebookExecutionJob.

delete(name, x__xgafv=None)

Deletes a NotebookExecutionJob.

get(name, view=None, x__xgafv=None)

Gets a NotebookExecutionJob.

list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, view=None, x__xgafv=None)

Lists NotebookExecutionJobs in a Location.

list_next()

Retrieves the next page of results.

Method Details

close()
Close httplib2 connections.
create(parent, body=None, notebookExecutionJobId=None, x__xgafv=None)
Creates a NotebookExecutionJob.

Args:
  parent: string, Required. The resource name of the Location to create the NotebookExecutionJob. Format: `projects/{project}/locations/{location}` (required)
  body: object, The request body.
    The object takes the form of:

{ # NotebookExecutionJob represents an instance of a notebook execution.
  "createTime": "A String", # Output only. Timestamp when this NotebookExecutionJob was created.
  "dataformRepositorySource": { # The Dataform Repository containing the input notebook. # The Dataform Repository pointing to a single file notebook repository.
    "commitSha": "A String", # The commit SHA to read repository with. If unset, the file will be read at HEAD.
    "dataformRepositoryResourceName": "A String", # The resource name of the Dataform Repository. Format: `projects/{project_id}/locations/{location}/repositories/{repository_id}`
  },
  "directNotebookSource": { # The content of the input notebook in ipynb format. # The contents of an input notebook file.
    "content": "A String", # The base64-encoded contents of the input notebook file.
  },
  "displayName": "A String", # The display name of the NotebookExecutionJob. The name can be up to 128 characters long and can consist of any UTF-8 characters.
  "encryptionSpec": { # Represents a customer-managed encryption key spec that can be applied to a top-level resource. # Customer-managed encryption key spec for the notebook execution job. This field is auto-populated if the NotebookService.NotebookRuntimeTemplate has an encryption spec.
    "kmsKeyName": "A String", # Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`. The key needs to be in the same region as where the compute resource is created.
  },
  "executionTimeout": "A String", # Max running time of the execution job in seconds (default 86400s / 24 hrs).
  "executionUser": "A String", # The user email to run the execution as. Only supported by Colab runtimes.
  "gcsNotebookSource": { # The Cloud Storage uri for the input notebook. # The Cloud Storage url pointing to the ipynb file. Format: `gs://bucket/notebook_file.ipynb`
    "generation": "A String", # The version of the Cloud Storage object to read. If unset, the current version of the object is read. See https://cloud.google.com/storage/docs/metadata#generation-number.
    "uri": "A String", # The Cloud Storage uri pointing to the ipynb file. Format: `gs://bucket/notebook_file.ipynb`
  },
  "gcsOutputUri": "A String", # The Cloud Storage location to upload the result to. Format: `gs://bucket-name`
  "jobState": "A String", # Output only. The state of the NotebookExecutionJob.
  "labels": { # The labels with user-defined metadata to organize NotebookExecutionJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    "a_key": "A String",
  },
  "name": "A String", # Output only. The resource name of this NotebookExecutionJob. Format: `projects/{project_id}/locations/{location}/notebookExecutionJobs/{job_id}`
  "notebookRuntimeTemplateResourceName": "A String", # The NotebookRuntimeTemplate to source compute configuration from.
  "scheduleResourceName": "A String", # Output only. The Schedule resource name if this job is triggered by one. Format: `projects/{project_id}/locations/{location}/schedules/{schedule_id}`
  "serviceAccount": "A String", # The service account to run the execution as.
  "status": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. Populated when the NotebookExecutionJob is completed. When there is an error during notebook execution, the error details are populated.
    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        "a_key": "", # Properties of the object. Contains field @type with type URL.
      },
    ],
    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  "updateTime": "A String", # Output only. Timestamp when this NotebookExecutionJob was most recently updated.
}

  notebookExecutionJobId: string, Optional. User specified ID for the NotebookExecutionJob.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        "a_key": "", # Properties of the object. Contains field @type with type URL.
      },
    ],
    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
}
delete(name, x__xgafv=None)
Deletes a NotebookExecutionJob.

Args:
  name: string, Required. The name of the NotebookExecutionJob resource to be deleted. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        "a_key": "", # Properties of the object. Contains field @type with type URL.
      },
    ],
    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
}
get(name, view=None, x__xgafv=None)
Gets a NotebookExecutionJob.

Args:
  name: string, Required. The name of the NotebookExecutionJob resource. (required)
  view: string, Optional. The NotebookExecutionJob view. Defaults to BASIC.
    Allowed values
      NOTEBOOK_EXECUTION_JOB_VIEW_UNSPECIFIED - When unspecified, the API defaults to the BASIC view.
      NOTEBOOK_EXECUTION_JOB_VIEW_BASIC - Includes all fields except for direct notebook inputs.
      NOTEBOOK_EXECUTION_JOB_VIEW_FULL - Includes all fields.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # NotebookExecutionJob represents an instance of a notebook execution.
  "createTime": "A String", # Output only. Timestamp when this NotebookExecutionJob was created.
  "dataformRepositorySource": { # The Dataform Repository containing the input notebook. # The Dataform Repository pointing to a single file notebook repository.
    "commitSha": "A String", # The commit SHA to read repository with. If unset, the file will be read at HEAD.
    "dataformRepositoryResourceName": "A String", # The resource name of the Dataform Repository. Format: `projects/{project_id}/locations/{location}/repositories/{repository_id}`
  },
  "directNotebookSource": { # The content of the input notebook in ipynb format. # The contents of an input notebook file.
    "content": "A String", # The base64-encoded contents of the input notebook file.
  },
  "displayName": "A String", # The display name of the NotebookExecutionJob. The name can be up to 128 characters long and can consist of any UTF-8 characters.
  "encryptionSpec": { # Represents a customer-managed encryption key spec that can be applied to a top-level resource. # Customer-managed encryption key spec for the notebook execution job. This field is auto-populated if the NotebookService.NotebookRuntimeTemplate has an encryption spec.
    "kmsKeyName": "A String", # Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`. The key needs to be in the same region as where the compute resource is created.
  },
  "executionTimeout": "A String", # Max running time of the execution job in seconds (default 86400s / 24 hrs).
  "executionUser": "A String", # The user email to run the execution as. Only supported by Colab runtimes.
  "gcsNotebookSource": { # The Cloud Storage uri for the input notebook. # The Cloud Storage url pointing to the ipynb file. Format: `gs://bucket/notebook_file.ipynb`
    "generation": "A String", # The version of the Cloud Storage object to read. If unset, the current version of the object is read. See https://cloud.google.com/storage/docs/metadata#generation-number.
    "uri": "A String", # The Cloud Storage uri pointing to the ipynb file. Format: `gs://bucket/notebook_file.ipynb`
  },
  "gcsOutputUri": "A String", # The Cloud Storage location to upload the result to. Format: `gs://bucket-name`
  "jobState": "A String", # Output only. The state of the NotebookExecutionJob.
  "labels": { # The labels with user-defined metadata to organize NotebookExecutionJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    "a_key": "A String",
  },
  "name": "A String", # Output only. The resource name of this NotebookExecutionJob. Format: `projects/{project_id}/locations/{location}/notebookExecutionJobs/{job_id}`
  "notebookRuntimeTemplateResourceName": "A String", # The NotebookRuntimeTemplate to source compute configuration from.
  "scheduleResourceName": "A String", # Output only. The Schedule resource name if this job is triggered by one. Format: `projects/{project_id}/locations/{location}/schedules/{schedule_id}`
  "serviceAccount": "A String", # The service account to run the execution as.
  "status": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. Populated when the NotebookExecutionJob is completed. When there is an error during notebook execution, the error details are populated.
    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        "a_key": "", # Properties of the object. Contains field @type with type URL.
      },
    ],
    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  "updateTime": "A String", # Output only. Timestamp when this NotebookExecutionJob was most recently updated.
}
list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, view=None, x__xgafv=None)
Lists NotebookExecutionJobs in a Location.

Args:
  parent: string, Required. The resource name of the Location from which to list the NotebookExecutionJobs. Format: `projects/{project}/locations/{location}` (required)
  filter: string, Optional. An expression for filtering the results of the request. For field names both snake_case and camelCase are supported. * `notebookExecutionJob` supports = and !=. `notebookExecutionJob` represents the NotebookExecutionJob ID. * `displayName` supports = and != and regex. * `schedule` supports = and != and regex. Some examples: * `notebookExecutionJob="123"` * `notebookExecutionJob="my-execution-job"` * `displayName="myDisplayName"` and `displayName=~"myDisplayNameRegex"`
  orderBy: string, Optional. A comma-separated list of fields to order by, sorted in ascending order. Use "desc" after a field name for descending. Supported fields: * `display_name` * `create_time` * `update_time` Example: `display_name, create_time desc`.
  pageSize: integer, Optional. The standard list page size.
  pageToken: string, Optional. The standard list page token. Typically obtained via ListNotebookExecutionJobs.next_page_token of the previous NotebookService.ListNotebookExecutionJobs call.
  view: string, Optional. The NotebookExecutionJob view. Defaults to BASIC.
    Allowed values
      NOTEBOOK_EXECUTION_JOB_VIEW_UNSPECIFIED - When unspecified, the API defaults to the BASIC view.
      NOTEBOOK_EXECUTION_JOB_VIEW_BASIC - Includes all fields except for direct notebook inputs.
      NOTEBOOK_EXECUTION_JOB_VIEW_FULL - Includes all fields.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Response message for [NotebookService.CreateNotebookExecutionJob]
  "nextPageToken": "A String", # A token to retrieve next page of results. Pass to ListNotebookExecutionJobs.page_token to obtain that page.
  "notebookExecutionJobs": [ # List of NotebookExecutionJobs in the requested page.
    { # NotebookExecutionJob represents an instance of a notebook execution.
      "createTime": "A String", # Output only. Timestamp when this NotebookExecutionJob was created.
      "dataformRepositorySource": { # The Dataform Repository containing the input notebook. # The Dataform Repository pointing to a single file notebook repository.
        "commitSha": "A String", # The commit SHA to read repository with. If unset, the file will be read at HEAD.
        "dataformRepositoryResourceName": "A String", # The resource name of the Dataform Repository. Format: `projects/{project_id}/locations/{location}/repositories/{repository_id}`
      },
      "directNotebookSource": { # The content of the input notebook in ipynb format. # The contents of an input notebook file.
        "content": "A String", # The base64-encoded contents of the input notebook file.
      },
      "displayName": "A String", # The display name of the NotebookExecutionJob. The name can be up to 128 characters long and can consist of any UTF-8 characters.
      "encryptionSpec": { # Represents a customer-managed encryption key spec that can be applied to a top-level resource. # Customer-managed encryption key spec for the notebook execution job. This field is auto-populated if the NotebookService.NotebookRuntimeTemplate has an encryption spec.
        "kmsKeyName": "A String", # Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`. The key needs to be in the same region as where the compute resource is created.
      },
      "executionTimeout": "A String", # Max running time of the execution job in seconds (default 86400s / 24 hrs).
      "executionUser": "A String", # The user email to run the execution as. Only supported by Colab runtimes.
      "gcsNotebookSource": { # The Cloud Storage uri for the input notebook. # The Cloud Storage url pointing to the ipynb file. Format: `gs://bucket/notebook_file.ipynb`
        "generation": "A String", # The version of the Cloud Storage object to read. If unset, the current version of the object is read. See https://cloud.google.com/storage/docs/metadata#generation-number.
        "uri": "A String", # The Cloud Storage uri pointing to the ipynb file. Format: `gs://bucket/notebook_file.ipynb`
      },
      "gcsOutputUri": "A String", # The Cloud Storage location to upload the result to. Format: `gs://bucket-name`
      "jobState": "A String", # Output only. The state of the NotebookExecutionJob.
      "labels": { # The labels with user-defined metadata to organize NotebookExecutionJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
        "a_key": "A String",
      },
      "name": "A String", # Output only. The resource name of this NotebookExecutionJob. Format: `projects/{project_id}/locations/{location}/notebookExecutionJobs/{job_id}`
      "notebookRuntimeTemplateResourceName": "A String", # The NotebookRuntimeTemplate to source compute configuration from.
      "scheduleResourceName": "A String", # Output only. The Schedule resource name if this job is triggered by one. Format: `projects/{project_id}/locations/{location}/schedules/{schedule_id}`
      "serviceAccount": "A String", # The service account to run the execution as.
      "status": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. Populated when the NotebookExecutionJob is completed. When there is an error during notebook execution, the error details are populated.
        "code": 42, # The status code, which should be an enum value of google.rpc.Code.
        "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
          {
            "a_key": "", # Properties of the object. Contains field @type with type URL.
          },
        ],
        "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
      },
      "updateTime": "A String", # Output only. Timestamp when this NotebookExecutionJob was most recently updated.
    },
  ],
}
list_next()
Retrieves the next page of results.

        Args:
          previous_request: The request for the previous page. (required)
          previous_response: The response from the request for the previous page. (required)

        Returns:
          A request object that you can call 'execute()' on to request the next
          page. Returns None if there are no more items in the collection.