Vertex AI API . projects . locations . migratableResources

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

Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI.

Args:
  parent: string, Required. The location of the migrated resource will live in. Format: `projects/{project}/locations/{location}` (required)
  body: object, The request body.
    The object takes the form of:

{ # Request message for MigrationService.BatchMigrateResources.
  "migrateResourceRequests": [ # Required. The request messages specifying the resources to migrate. They must be in the same location as the destination. Up to 50 resources can be migrated in one batch.
    { # Config of migrating one resource from automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
      "migrateAutomlDatasetConfig": { # Config for migrating Dataset in automl.googleapis.com to Vertex AI's Dataset. # Config for migrating Dataset in automl.googleapis.com to Vertex AI's Dataset.
        "dataset": "A String", # Required. Full resource name of automl Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`.
        "datasetDisplayName": "A String", # Required. Display name of the Dataset in Vertex AI. System will pick a display name if unspecified.
      },
      "migrateAutomlModelConfig": { # Config for migrating Model in automl.googleapis.com to Vertex AI's Model. # Config for migrating Model in automl.googleapis.com to Vertex AI's Model.
        "model": "A String", # Required. Full resource name of automl Model. Format: `projects/{project}/locations/{location}/models/{model}`.
        "modelDisplayName": "A String", # Optional. Display name of the model in Vertex AI. System will pick a display name if unspecified.
      },
      "migrateDataLabelingDatasetConfig": { # Config for migrating Dataset in datalabeling.googleapis.com to Vertex AI's Dataset. # Config for migrating Dataset in datalabeling.googleapis.com to Vertex AI's Dataset.
        "dataset": "A String", # Required. Full resource name of data labeling Dataset. Format: `projects/{project}/datasets/{dataset}`.
        "datasetDisplayName": "A String", # Optional. Display name of the Dataset in Vertex AI. System will pick a display name if unspecified.
        "migrateDataLabelingAnnotatedDatasetConfigs": [ # Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong to the datalabeling Dataset.
          { # Config for migrating AnnotatedDataset in datalabeling.googleapis.com to Vertex AI's SavedQuery.
            "annotatedDataset": "A String", # Required. Full resource name of data labeling AnnotatedDataset. Format: `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
          },
        ],
      },
      "migrateMlEngineModelVersionConfig": { # Config for migrating version in ml.googleapis.com to Vertex AI's Model. # Config for migrating Version in ml.googleapis.com to Vertex AI's Model.
        "endpoint": "A String", # Required. The ml.googleapis.com endpoint that this model version should be migrated from. Example values: * ml.googleapis.com * us-centrall-ml.googleapis.com * europe-west4-ml.googleapis.com * asia-east1-ml.googleapis.com
        "modelDisplayName": "A String", # Required. Display name of the model in Vertex AI. System will pick a display name if unspecified.
        "modelVersion": "A String", # Required. Full resource name of ml engine model version. Format: `projects/{project}/models/{model}/versions/{version}`.
      },
    },
  ],
}

  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.
  },
}

close()

Close httplib2 connections.

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

Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com that can be migrated to Vertex AI's given location.

Args:
  parent: string, Required. The location that the migratable resources should be searched from. It's the Vertex AI location that the resources can be migrated to, not the resources' original location. Format: `projects/{project}/locations/{location}` (required)
  body: object, The request body.
    The object takes the form of:

{ # Request message for MigrationService.SearchMigratableResources.
  "filter": "A String", # A filter for your search. You can use the following types of filters: * Resource type filters. The following strings filter for a specific type of MigratableResource: * `ml_engine_model_version:*` * `automl_model:*` * `automl_dataset:*` * `data_labeling_dataset:*` * "Migrated or not" filters. The following strings filter for resources that either have or have not already been migrated: * `last_migrate_time:*` filters for migrated resources. * `NOT last_migrate_time:*` filters for not yet migrated resources.
  "pageSize": 42, # The standard page size. The default and maximum value is 100.
  "pageToken": "A String", # The standard page token.
}

  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 MigrationService.SearchMigratableResources.
  "migratableResources": [ # All migratable resources that can be migrated to the location specified in the request.
    { # Represents one resource that exists in automl.googleapis.com, datalabeling.googleapis.com or ml.googleapis.com.
      "automlDataset": { # Represents one Dataset in automl.googleapis.com. # Output only. Represents one Dataset in automl.googleapis.com.
        "dataset": "A String", # Full resource name of automl Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`.
        "datasetDisplayName": "A String", # The Dataset's display name in automl.googleapis.com.
      },
      "automlModel": { # Represents one Model in automl.googleapis.com. # Output only. Represents one Model in automl.googleapis.com.
        "model": "A String", # Full resource name of automl Model. Format: `projects/{project}/locations/{location}/models/{model}`.
        "modelDisplayName": "A String", # The Model's display name in automl.googleapis.com.
      },
      "dataLabelingDataset": { # Represents one Dataset in datalabeling.googleapis.com. # Output only. Represents one Dataset in datalabeling.googleapis.com.
        "dataLabelingAnnotatedDatasets": [ # The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to the data labeling Dataset.
          { # Represents one AnnotatedDataset in datalabeling.googleapis.com.
            "annotatedDataset": "A String", # Full resource name of data labeling AnnotatedDataset. Format: `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
            "annotatedDatasetDisplayName": "A String", # The AnnotatedDataset's display name in datalabeling.googleapis.com.
          },
        ],
        "dataset": "A String", # Full resource name of data labeling Dataset. Format: `projects/{project}/datasets/{dataset}`.
        "datasetDisplayName": "A String", # The Dataset's display name in datalabeling.googleapis.com.
      },
      "lastMigrateTime": "A String", # Output only. Timestamp when the last migration attempt on this MigratableResource started. Will not be set if there's no migration attempt on this MigratableResource.
      "lastUpdateTime": "A String", # Output only. Timestamp when this MigratableResource was last updated.
      "mlEngineModelVersion": { # Represents one model Version in ml.googleapis.com. # Output only. Represents one Version in ml.googleapis.com.
        "endpoint": "A String", # The ml.googleapis.com endpoint that this model Version currently lives in. Example values: * ml.googleapis.com * us-centrall-ml.googleapis.com * europe-west4-ml.googleapis.com * asia-east1-ml.googleapis.com
        "version": "A String", # Full resource name of ml engine model Version. Format: `projects/{project}/models/{model}/versions/{version}`.
      },
    },
  ],
  "nextPageToken": "A String", # The standard next-page token. The migratable_resources may not fill page_size in SearchMigratableResourcesRequest even when there are subsequent pages.
}

search_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.