Long-running operations

The Video Intelligence API product is available in the Vertex AI platform. Migrate your resources to Vertex AI AutoML video to get new machine learning features, simplify end-to-end journeys, and productionize models with MLOps.

This product or feature is covered by the Pre-GA Offerings Terms of the Google Cloud Terms of Service. Pre-GA products and features might have limited support, and changes to pre-GA products and features might not be compatible with other pre-GA versions. For more information, see the launch stage descriptions.

Some methods of AutoML Video Intelligence return a long-running operation. These methods are asynchronous, and the operation may not be completed when the method returns a response.

Get an operation status

You can check the status of a long-running task (importing items into a dataset or training a model) using the operation name.

Note: When using the Web UI you can monitor the status in the Status column of the list page.

Note: You can only check the status of operations using the AutoML API.

REST & CMD LINE

Before using any of the request data, make the following replacements:

• project-number: your project number
• location-id: for example, us-central1
• operation id: provided in the response when you started the operation, for example for Classification: VCN123...., and for Object tracking: VOT123....

HTTP method and URL:

GET https://automl.googleapis.com/v1beta1/projects/project-number/locations/location-id/operations/operation-id

To send your request, choose one of these options:

curl

Note: Ensure you have set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path for your service account private key file.

Execute the following command:

curl -X GET \
-H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
"https://automl.googleapis.com/v1beta1/projects/project-number/locations/location-id/operations/operation-id"

PowerShell

Note: Ensure you have set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path for your service account private key file.

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/v1beta1/projects/project-number/locations/location-id/operations/operation-id" | Select-Object -Expand Content

The model-id is the ID of your model, from the response when you created the model. The ID is the last element of the name of your model. For example:

• model name: projects/project-number/locations/location-id/models/model-id
• model id: model-id

Response

{
  "name": "projects/project-number/locations/us-central1/operations/operation-id",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.automl.v1beta1.OperationMetadata",
    "progressPercentage": 100,
    "createTime": "2020-02-27T01:56:28.395640Z",
    "updateTime": "2020-02-27T02:04:12.336070Z"
  },
  "done": true,
  "response": {
    "@type": "type.googleapis.com/google.cloud.automl.v1beta1.Model",
    "name": "projects/project-number/locations/us-central1/models/model-id",
    "createTime": "2020-02-27T02:00:22.329970Z",
    "videoClassificationModelMetadata": {
      "base_model" : ""
    },
    "displayName": "a_98487760535e48319dd204e6394670"
  }
}

Cancel an operation

You can cancel a long-running operation using the operation ID. The cancellation is not guaranteed to succeed.

REST & CMD LINE

Before using any of the request data, make the following replacements:

• operation id: provided in the response when you started the operation,
  for example for Classification: VCN123...., and for Object tracking: VOT123....
• Note:
  • project-number: your GCP project ID
  • location-id: the Cloud region where annotation should take place. Supported cloud regions are: us-east1, us-west1, europe-west1, asia-east1. If no region is specified, a region will be determined based on video file location.

HTTP method and URL:

POST https://automl.googleapis.com/v1beta1/projects/project-number/locations/location-id/operations/operation-id:cancel

To send your request, expand one of these options:

curl (Linux, macOS, or Cloud Shell)

Note: Ensure you have set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path for your service account private key file.

Execute the following command:

curl -X POST \
-H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d "" \
"https://automl.googleapis.com/v1beta1/projects/project-number/locations/location-id/operations/operation-id:cancel"

PowerShell (Windows)

Note: Ensure you have set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path for your service account private key file.

Execute the following command:

$cred = gcloud auth application-default print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
  -Method POST `
  -Headers $headers `
  -Uri "https://automl.googleapis.com/v1beta1/projects/project-number/locations/location-id/operations/operation-id:cancel" | Select-Object -Expand Content

You should receive a successful status code (2xx) and an empty response.