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<h1><a href="aiplatform_v1.html">Vertex AI API</a> . <a href="aiplatform_v1.projects.html">projects</a> . <a href="aiplatform_v1.projects.locations.html">locations</a> . <a href="aiplatform_v1.projects.locations.migratableResources.html">migratableResources</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
<code><a href="aiplatform_v1.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>
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