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Crea un esquema de documento y crea un documento

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Para obtener documentación detallada en la que se incluya esta muestra de código, consulta lo siguiente:

Muestra de código

Java

Para obtener más información, consulta la documentación de referencia de la API de Document AI Warehouse Java.

Para autenticarte en Document AI Warehouse, configura las credenciales predeterminadas de la aplicación. Para obtener más información, consulta Configura la autenticación para un entorno de desarrollo local.

public class QuickStart {

  public static void main(String[] args)
      throws IOException, InterruptedException, ExecutionException, TimeoutException {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String location = "your-region"; // Format is "us" or "eu".
    String userId = "your-user-id"; // Format is user:<user-id>
    quickStart(projectId, location, userId);
  }

  public static void quickStart(String projectId, String location, String userId)
      throws IOException, InterruptedException, ExecutionException, TimeoutException {
    String projectNumber = getProjectNumber(projectId);

    String endpoint = "contentwarehouse.googleapis.com:443";
    if (!"us".equals(location)) {
      endpoint = String.format("%s-%s", location, endpoint);
    }
    DocumentSchemaServiceSettings documentSchemaServiceSettings = 
         DocumentSchemaServiceSettings.newBuilder().setEndpoint(endpoint).build(); 

    // Create a Schema Service client
    try (DocumentSchemaServiceClient documentSchemaServiceClient =
        DocumentSchemaServiceClient.create(documentSchemaServiceSettings)) {
      /*  The full resource name of the location, e.g.:
      projects/{project_number}/locations/{location} */
      String parent = LocationName.format(projectNumber, location);

      /* Create Document Schema with Text Type Property Definition
       * More detail on managing Document Schemas: 
       * https://cloud.google.com/document-warehouse/docs/manage-document-schemas */
      DocumentSchema documentSchema = DocumentSchema.newBuilder()
          .setDisplayName("My Test Schema")
          .setDescription("My Test Schema's Description")
          .addPropertyDefinitions(
            PropertyDefinition.newBuilder()
              .setName("test_symbol")
              .setDisplayName("Searchable text")
              .setIsSearchable(true)
              .setTextTypeOptions(TextTypeOptions.newBuilder().build())
              .build()).build();

      // Define Document Schema request
      CreateDocumentSchemaRequest createDocumentSchemaRequest =
          CreateDocumentSchemaRequest.newBuilder()
            .setParent(parent)
            .setDocumentSchema(documentSchema).build();

      // Create Document Schema
      DocumentSchema documentSchemaResponse =
          documentSchemaServiceClient.createDocumentSchema(createDocumentSchemaRequest); 


      // Create Document Service Client Settings
      DocumentServiceSettings documentServiceSettings = 
          DocumentServiceSettings.newBuilder().setEndpoint(endpoint).build();

      // Create Document Service Client and Document with relevant properties 
      try (DocumentServiceClient documentServiceClient =
          DocumentServiceClient.create(documentServiceSettings)) {
        TextArray textArray = TextArray.newBuilder().addValues("Test").build();
        Document document = Document.newBuilder()
              .setDisplayName("My Test Document")
              .setDocumentSchemaName(documentSchemaResponse.getName())
              .setPlainText("This is a sample of a document's text.")
              .addProperties(
                Property.newBuilder()
                  .setName(documentSchema.getPropertyDefinitions(0).getName())
                  .setTextValues(textArray)).build();

        // Define Request Metadata for enforcing access control
        RequestMetadata requestMetadata = RequestMetadata.newBuilder()
            .setUserInfo(
            UserInfo.newBuilder()
              .setId(userId).build()).build();

        // Define Create Document Request 
        CreateDocumentRequest createDocumentRequest = CreateDocumentRequest.newBuilder()
            .setParent(parent)
            .setDocument(document)
            .setRequestMetadata(requestMetadata)
            .build();

        // Create Document
        CreateDocumentResponse createDocumentResponse =
            documentServiceClient.createDocument(createDocumentRequest);

        System.out.println(createDocumentResponse.getDocument().getName());
        System.out.println(documentSchemaResponse.getName());
      }
    }
  }

  private static String getProjectNumber(String projectId) throws IOException { 
    try (ProjectsClient projectsClient = ProjectsClient.create()) { 
      ProjectName projectName = ProjectName.of(projectId); 
      Project project = projectsClient.getProject(projectName);
      String projectNumber = project.getName(); // Format returned is projects/xxxxxx
      return projectNumber.substring(projectNumber.lastIndexOf("/") + 1);
    } 
  }
}

Node.js

Para obtener más información, consulta la documentación de referencia de la API de Document AI Warehouse Node.js.

/**
 * TODO(developer): Uncomment these variables before running the sample.
 * const projectNumber = 'YOUR_PROJECT_NUMBER';
 * const location = 'YOUR_PROJECT_LOCATION'; // Format is 'us' or 'eu'
 * const userId = 'user:xxx@example.com'; // Format is "user:xxx@example.com"
 */

// Import from google cloud
const {DocumentSchemaServiceClient, DocumentServiceClient} =
  require('@google-cloud/contentwarehouse').v1;

const apiEndpoint =
  location === 'us'
    ? 'contentwarehouse.googleapis.com'
    : `${location}-contentwarehouse.googleapis.com`;

// Create service client
const schemaClient = new DocumentSchemaServiceClient({
  apiEndpoint: apiEndpoint,
});
const serviceClient = new DocumentServiceClient({apiEndpoint: apiEndpoint});

// Get Document Schema
async function quickstart() {
  // The full resource name of the location, e.g.:
  // projects/{project_number}/locations/{location}
  const parent = `projects/${projectNumber}/locations/${location}`;

  // Initialize request argument(s)
  const schemaRequest = {
    parent: parent,
    documentSchema: {
      displayName: 'My Test Schema',
      propertyDefinitions: [
        {
          name: 'testPropertyDefinitionName', // Must be unique within a document schema (case insensitive)
          displayName: 'searchable text',
          isSearchable: true,
          textTypeOptions: {},
        },
      ],
    },
  };

  // Create Document Schema
  const documentSchema =
    await schemaClient.createDocumentSchema(schemaRequest);

  const documentRequest = {
    parent: parent,
    document: {
      displayName: 'My Test Document',
      documentSchemaName: documentSchema[0].name,
      plainText: "This is a sample of a document's text.",
      properties: [
        {
          name: 'testPropertyDefinitionName',
          textValues: {values: ['GOOG']},
        },
      ],
    },
    requestMetadata: {userInfo: {id: userId}},
  };

  // Make Request
  const response = serviceClient.createDocument(documentRequest);

  // Print out response
  response.then(
    result => console.log(`Document Created: ${JSON.stringify(result)}`),
    error => console.log(`error: ${error}`)
  );
}

Python

Para obtener más información, consulta la documentación de referencia de la API de Document AI Warehouse Python.


from google.cloud import contentwarehouse

# TODO(developer): Uncomment these variables before running the sample.
# project_number = 'YOUR_PROJECT_NUMBER'
# location = 'YOUR_PROJECT_LOCATION' # Format is 'us' or 'eu'
# user_id = "user:xxxx@example.com" # Format is "user:xxxx@example.com"


def quickstart(project_number: str, location: str, user_id: str) -> None:
    # Create a Schema Service client
    document_schema_client = contentwarehouse.DocumentSchemaServiceClient()

    # The full resource name of the location, e.g.:
    # projects/{project_number}/locations/{location}
    parent = document_schema_client.common_location_path(
        project=project_number, location=location
    )

    # Define Schema Property of Text Type
    property_definition = contentwarehouse.PropertyDefinition(
        name="stock_symbol",  # Must be unique within a document schema (case insensitive)
        display_name="Searchable text",
        is_searchable=True,
        text_type_options=contentwarehouse.TextTypeOptions(),
    )

    # Define Document Schema Request
    create_document_schema_request = contentwarehouse.CreateDocumentSchemaRequest(
        parent=parent,
        document_schema=contentwarehouse.DocumentSchema(
            display_name="My Test Schema",
            property_definitions=[property_definition],
        ),
    )

    # Create a Document schema
    document_schema = document_schema_client.create_document_schema(
        request=create_document_schema_request
    )

    # Create a Document Service client
    document_client = contentwarehouse.DocumentServiceClient()

    # The full resource name of the location, e.g.:
    # projects/{project_number}/locations/{location}
    parent = document_client.common_location_path(
        project=project_number, location=location
    )

    # Define Document Property Value
    document_property = contentwarehouse.Property(
        name=document_schema.property_definitions[0].name,
        text_values=contentwarehouse.TextArray(values=["GOOG"]),
    )

    # Define Document
    document = contentwarehouse.Document(
        display_name="My Test Document",
        document_schema_name=document_schema.name,
        plain_text="This is a sample of a document's text.",
        properties=[document_property],
    )

    # Define Request
    create_document_request = contentwarehouse.CreateDocumentRequest(
        parent=parent,
        document=document,
        request_metadata=contentwarehouse.RequestMetadata(
            user_info=contentwarehouse.UserInfo(id=user_id)
        ),
    )

    # Create a Document for the given schema
    response = document_client.create_document(request=create_document_request)

    # Read the output
    print(f"Rule Engine Output: {response.rule_engine_output}")
    print(f"Document Created: {response.document}")

¿Qué sigue?

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