| <html><body> |
| <style> |
| |
| body, h1, h2, h3, div, span, p, pre, a { |
| margin: 0; |
| padding: 0; |
| border: 0; |
| font-weight: inherit; |
| font-style: inherit; |
| font-size: 100%; |
| font-family: inherit; |
| vertical-align: baseline; |
| } |
| |
| body { |
| font-size: 13px; |
| padding: 1em; |
| } |
| |
| h1 { |
| font-size: 26px; |
| margin-bottom: 1em; |
| } |
| |
| h2 { |
| font-size: 24px; |
| margin-bottom: 1em; |
| } |
| |
| h3 { |
| font-size: 20px; |
| margin-bottom: 1em; |
| margin-top: 1em; |
| } |
| |
| pre, code { |
| line-height: 1.5; |
| font-family: Monaco, 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Lucida Console', monospace; |
| } |
| |
| pre { |
| margin-top: 0.5em; |
| } |
| |
| h1, h2, h3, p { |
| font-family: Arial, sans serif; |
| } |
| |
| h1, h2, h3 { |
| border-bottom: solid #CCC 1px; |
| } |
| |
| .toc_element { |
| margin-top: 0.5em; |
| } |
| |
| .firstline { |
| margin-left: 2 em; |
| } |
| |
| .method { |
| margin-top: 1em; |
| border: solid 1px #CCC; |
| padding: 1em; |
| background: #EEE; |
| } |
| |
| .details { |
| font-weight: bold; |
| font-size: 14px; |
| } |
| |
| </style> |
| |
| <h1><a href="aiplatform_v1beta1.html">Vertex AI API</a> . <a href="aiplatform_v1beta1.projects.html">projects</a> . <a href="aiplatform_v1beta1.projects.locations.html">locations</a> . <a href="aiplatform_v1beta1.projects.locations.migratableResources.html">migratableResources</a></h1> |
| <h2>Instance Methods</h2> |
| <p class="toc_element"> |
| <code><a href="aiplatform_v1beta1.projects.locations.migratableResources.operations.html">operations()</a></code> |
| </p> |
| <p class="firstline">Returns the operations Resource.</p> |
| |
| <p class="toc_element"> |
| <code><a href="#batchMigrate">batchMigrate(parent, body=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI.</p> |
| <p class="toc_element"> |
| <code><a href="#close">close()</a></code></p> |
| <p class="firstline">Close httplib2 connections.</p> |
| <p class="toc_element"> |
| <code><a href="#search">search(parent, body=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">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.</p> |
| <p class="toc_element"> |
| <code><a href="#search_next">search_next()</a></code></p> |
| <p class="firstline">Retrieves the next page of results.</p> |
| <h3>Method Details</h3> |
| <div class="method"> |
| <code class="details" id="batchMigrate">batchMigrate(parent, body=None, x__xgafv=None)</code> |
| <pre>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. |
| }, |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="close">close()</code> |
| <pre>Close httplib2 connections.</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="search">search(parent, body=None, x__xgafv=None)</code> |
| <pre>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. |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="search_next">search_next()</code> |
| <pre>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. |
| </pre> |
| </div> |
| |
| </body></html> |
