See the supported connectors for Application Integration.

Doc AI - Operation task

Preview

This feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the Service Specific Terms. Pre-GA features are available "as is" and might have limited support. For more information, see the launch stage descriptions.

The Doc AI - Operation task lets you check the status of a long-running operation (LRO) in the Document AI processor. The Document AI processor creates an LRO every time you send a Batch Process request.

Cloud Document AI is a Google Cloud service that allows you to parse structured information from unstructured or semi-structured documents using state-of-the-art Google AI such as natural language, computer vision, translation, and AutoML.

Before you begin

Ensure that you perform the following tasks in your Google Cloud project before configuring the Doc AI - Operation task:

1. Enable the Cloud Document AI API (documentai.googleapis.com) in your Google Cloud project before configuring the Doc AI - Operation task.

   Enable the Cloud Document AI API

2. Create an authentication profile. Application Integration uses an authentication profile to connect to an authentication endpoint for the Doc AI - Operation task.

   For information about granting additional roles or permissions to a service account, see Granting, changing, and revoking access.

Configure the Doc AI - Operation task

1. In the Google Cloud console, go to the Application Integration page.

   Go to Application Integration

2. In the navigation menu, click Integrations.

   The Integrations page appears listing all the integrations available in the Google Cloud project.

3. Select an existing integration or click Create integration to create a new one.

   If you are creating a new integration:

   1. Enter a name and description in the Create Integration pane.
   2. Select a region for the integration.
      Note: The Regions dropdown only lists the regions provisioned in your Google Cloud project. To provision a new region, Click Enable Region. See Enable new region for more information.
   3. Select a service account for the integration. You can change or update the service account details of an integration any time from the Integration summary pane in the integration toolbar.
      Note: The option to select a service account is displayed only if you have enabled integration governance for the selected region.
   4. Click Create.

   This opens the integration in the integration editor.

4. In the integration editor navigation bar, click Tasks to view the list of available tasks.
5. Click and place the Doc AI - Operation element in the integration editor.
6. Click the Doc AI - Operation element on the designer to view the Doc AI - Operation task configuration pane.
7. Go to Authentication, and select an existing authentication profile that you want to use.

   Optional. If you have not created an authentication profile prior to configuring the task, Click + New authentication profile and follow the steps as mentioned in Create a new authentication profile.

8. Go to Task Input, and configure the displayed inputs fields using the following Task input parameters table.

   Changes to the inputs fields are saved automatically.

Task input parameters

The following table describes the input parameters of the Doc AI - Operation task:

Property	Data type	Description
Region	String	Cloud Document AI location for the processor. For example: us - United States.
ProjectsId	String	Your Google Cloud project ID.
OperationId	String	The ID of your operation. The ID is the last element of the name of your operation.

Task output

The Doc AI - Operation task returns the details of your long-running operation (LRO), similar to the following sample output:

{
    "name": "projects/[PROJECT_ID]/locations/[LOCATION]/operations/[OPERATION_ID]",
    "metadata": {
        "@type": "type.googleapis.com/google.cloud.documentai.v1.BatchProcessMetadata",
        "state": "SUCCEEDED",
        "stateMessage": "Processed 1 document(s) successfully",
        "createTime": "TIMESTAMP",
        "updateTime": "TIMESTAMP",
        "individualProcessStatuses": [
        {
            "inputGcsSource": "[INPUT_BUCKET_FOLDER]/DOCUMENT1.ext",
            "status": {},
            "outputGcsDestination": "OUTPUT_BUCKET_FOLDER/[OPERATION_ID]/0",
            "humanReviewStatus": {
            "state": "ERROR",
            "stateMessage": "Sharded document files are not supported for human review."
            }
        }
        ]
    },
    "done": true,
    "response": {
        "@type": "type.googleapis.com/google.cloud.documentai.v1.BatchProcessResponse"
    }
}
    

Error handling strategy

An error handling strategy for a task specifies the action to take if the task fails due to a temporary error. For information about how to use an error handling strategy, and to know about the different types of error handling strategies, see Error handling strategies.

What's next

1. Add edges and edge conditions.
2. Test and publish your integration.
3. Configure a trigger.
4. Add a Data Mapping task.
5. See all tasks for Google Cloud services.