Several operations you request are long-running, such as model training, file import into a dataset, and model deletion. These types of requests will return a JSON with an operation ID that you can use to get the status of the operation.
For example, a model training request returns the following JSON:
{ "name": "projects/project-id/locations/us-central1/operations/IOD3074819451447672458", "metadata": { "@type": "type.googleapis.com/google.cloud.automl.v1.OperationMetadata", "createTime": "2019-07-26T21:10:18.338846Z", "updateTime": "2019-07-26T21:10:18.338846Z", "createModelDetails": {} } }
In this case, the operation ID is IOD3074819451447672458
. The following samples
show how to get the status of this operation with this ID.
REST & CMD LINE
Before using any of the request data below, make the following replacements:
- project-id: your GCP project ID.
- operation-id: the ID of your operation. The ID is the last element of the name
of your operation. For example:
- operation name:
projects/project-id/locations/location-id/operations/IOD5281059901324392598
- operation id:
IOD5281059901324392598
- operation name:
HTTP method and URL:
GET https://automl.googleapis.com/v1/projects/project-id/locations/us-central1/operations/operation-id
To send your request, choose one of these options:
curl
Execute the following command:
curl -X GET \
-H "Authorization: Bearer "$(gcloud auth application-default print-access-token) \
https://automl.googleapis.com/v1/projects/project-id/locations/us-central1/operations/operation-id
PowerShell
Execute the following command:
$cred = gcloud auth application-default print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }
Invoke-WebRequest `
-Method GET `
-Headers $headers `
-Uri "https://automl.googleapis.com/v1/projects/project-id/locations/us-central1/operations/operation-id" | Select-Object -Expand Content
{ "name": "projects/project-id/locations/us-central1/operations/operation-id", "metadata": { "@type": "type.googleapis.com/google.cloud.automl.v1.OperationMetadata", "createTime": "2018-10-29T15:56:29.176485Z", "updateTime": "2018-10-29T16:10:41.326614Z", "importDataDetails": {} }, "done": true, "response": { "@type": "type.googleapis.com/google.protobuf.Empty" } }
You should see output similar to the following for a completed create model operation:
{ "name": "projects/project-id/locations/us-central1/operations/operation-id", "metadata": { "@type": "type.googleapis.com/google.cloud.automl.v1.OperationMetadata", "createTime": "2019-07-22T18:35:06.881193Z", "updateTime": "2019-07-22T19:58:44.972235Z", "createModelDetails": {} }, "done": true, "response": { "@type": "type.googleapis.com/google.cloud.automl.v1.Model", "name": "projects/project-id/locations/us-central1/models/model-id" } }
Go
Before trying this sample, follow the setup instructions for this language on the Client Libraries page.
Java
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Node.js
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PHP
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Python
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