Organizar documentos em pastas

Cuidado: o Document AI Warehouse foi descontinuado e não estará mais disponível no Google Cloud após 16 de janeiro de 2025. Para proteger seus dados, migre todos os documentos salvos no Document AI Warehouse para uma alternativa como o Cloud Storage. Verifique se a migração de dados foi concluída antes da data de descontinuação para evitar a perda de dados. Consulte Descontinuações para mais detalhes.

Esta página fornece uma breve visão geral das pastas e explica como gerenciar documentos usando pastas.

O que são pastas do Document AI Warehouse

Uma pasta é um tipo especial de documento. Ele não pode incluir conteúdo inline nem ter conteúdo associado, mas os usuários ainda podem adicionar propriedades à pasta. Uma pasta serve como um contêiner para agrupar e rotular documentos. Os usuários podem anexar um documento a várias pastas, e uma pasta pode conter vários documentos. As pastas também podem ser usadas na API documents.search para filtrar documentos filhos em uma pasta específica.

Observação: ao filtrar por uma pasta na API documents.search, todos os documentos nas subpastas são verificados de forma recursiva. No entanto, os documentos vinculados a documentos de crianças na pasta são excluídos da pesquisa.

Antes de começar

Antes de começar, confira se você concluiu a página de início rápido.

Criar uma pasta do Warehouse da Document AI com um esquema

Para criar um esquema de instanciação de pastas, faça o seguinte:

REST

Solicitação:

curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json" -d '{
"display_name": "abc",
"property_definitions": [
  {
    "name": "Name",
    "display_name": "Name",
    "is_repeatable": false,
    "is_filterable": true,
    "is_searchable": true,
    "is_metadata": true,
    "is_required": true,
    "text_type_options": {},
    "schema_sources": []
  }
],
"document_is_folder": true
}' \
"https://contentwarehouse.googleapis.com/v1/projects/406397197218/locations/us/documentSchemas"

Resposta:

{
  "name": "SCHEMA_NAME",
  "displayName": "abc",
  "documentIsFolder": true,
  "updateTime": "2022-08-31T16:10:43.111978Z",
  "createTime": "2022-08-31T16:10:43.111978Z"
}

Python

from google.cloud import contentwarehouse_v1

def create_folder_schema():
    # Create a client
    client = contentwarehouse_v1.DocumentSchemaServiceClient()

    # Initialize request argument(s)
    document_schema = contentwarehouse_v1.DocumentSchema()
    document_schema.display_name = "display_name_value"
    document_schema.document_is_folder = True

    request = contentwarehouse_v1.CreateDocumentSchemaRequest(
        parent="projects/533503808294/locations/us",
        document_schema=document_schema,
    )

    # Make the request
    return client.create_document_schema(request=request)

Adicionar um documento a uma pasta do Document AI Warehouse

Para adicionar um documento a uma pasta, faça o seguinte:

REST

Solicitação:

curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" -d '{
"document_link": {
  "source_document_reference": {
    "document_name": "projects/PROJECT_NUMBER/locations/LOCATION/documents/{document_id}"
  },
  "target_document_reference": {
    "document_name": "projects/PROJECT_NUMBER/locations/LOCATION/documents/{document_id}"
  }
},
"requestMetadata": {
  "userInfo": {
    "id": "user:USER_EMAIL_ID"
  }
}
}' \
"https://contentwarehouse.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION/documents/{document_id}/documentLinks"

Resposta:

{
  "name": "LINK_NAME",
  "source_document_reference": {
   "document_name": "FOLDER_NAME"
  },
  "target_document_reference": {
   "document_name": "DOCUMENT_NAME"
  }
}

Python

from google.cloud import contentwarehouse_v1

def add_to_folder(folder:str, doc:str):
    # Create a client
    client = contentwarehouse_v1.DocumentLinkServiceClient()

    # Initialize request argument(s)
    link = contentwarehouse_v1.DocumentLink()
    link.source_document_reference = contentwarehouse_v1.DocumentReference()
    link.source_document_reference.document_name = folder
    link.target_document_reference = contentwarehouse_v1.DocumentReference()
    link.target_document_reference.document_name = doc

    request = contentwarehouse_v1.CreateDocumentLinkRequest(
        parent=folder,
        document_link=link,
    )

    # Make the request
    return client.create_document_link(request=request)

Criar uma pasta do Document AI Warehouse e vincular um documento

Python

Para mais informações, consulte a documentação de referência da API Python da Document AI Warehouse.

Para autenticar no Document AI Warehouse, configure o Application Default Credentials. Para mais informações, consulte Configurar a autenticação para um ambiente de desenvolvimento local.

from google.cloud import contentwarehouse

# TODO(developer): Uncomment these variables before running the sample.
# project_number = "YOUR_PROJECT_NUMBER"
# location = "us" # Format is 'us' or 'eu'
# user_id = "user:[e-mail]" # Format is "user:[e-mail]"


def create_folder(
    project_number: str, location: str, user_id: str
) -> contentwarehouse.Document:
    # 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 Folder Schema Request
    create_folder_schema_request = contentwarehouse.CreateDocumentSchemaRequest(
        parent=parent,
        document_schema=contentwarehouse.DocumentSchema(
            display_name="Test Folder Schema ",
            document_is_folder=True,
        ),
    )

    # Create a Folder Schema
    folder_schema = document_schema_client.create_document_schema(
        request=create_folder_schema_request
    )

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

    # Define Folder
    folder = contentwarehouse.Document(
        display_name="My Test Folder",
        document_schema_name=folder_schema.name,
    )

    # Define Request to create Folder
    create_folder_request = contentwarehouse.CreateDocumentRequest(
        parent=parent,
        document=folder,
        request_metadata=contentwarehouse.RequestMetadata(
            user_info=contentwarehouse.UserInfo(id=user_id)
        ),
    )

    # Create a Folder for the given schema
    folder_response = folder_client.create_document(request=create_folder_request)

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

    return folder_response


def create_document(
    project_number: str, location: str, user_id: str
) -> contentwarehouse.Document:
    # 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
    document_response = document_client.create_document(request=create_document_request)

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

    return document_response


def create_folder_link_document(
    project_number: str, location: str, user_id: str
) -> None:
    # Function call to create a folder
    folder = create_folder(project_number, location, user_id)

    # Function call to create a Document
    document = create_document(project_number, location, user_id)

    # Create a Link Service client
    link_client = contentwarehouse.DocumentLinkServiceClient()

    # Initialize request argument(s)
    link = contentwarehouse.DocumentLink(
        source_document_reference=contentwarehouse.DocumentReference(
            document_name=folder.document.name,
        ),
        target_document_reference=contentwarehouse.DocumentReference(
            document_name=document.document.name,
        ),
    )

    # Initialize document link request
    create_document_link_request = contentwarehouse.CreateDocumentLinkRequest(
        parent=folder.document.name,
        document_link=link,
        request_metadata=contentwarehouse.RequestMetadata(
            user_info=contentwarehouse.UserInfo(id=user_id)
        ),
    )

    # Make the Document Link request
    create_link_response = link_client.create_document_link(
        request=create_document_link_request
    )

    print(f"Link Created: {create_link_response}")

    # Initialize list linked targets request
    linked_targets_request = contentwarehouse.ListLinkedTargetsRequest(
        parent=folder.document.name,
        request_metadata=contentwarehouse.RequestMetadata(
            user_info=contentwarehouse.UserInfo(id=user_id)
        ),
    )

    # Make the request
    linked_targets_response = link_client.list_linked_targets(
        request=linked_targets_request
    )

    print(f"Validate Link Created: {linked_targets_response}")

Listar documentos filhos em uma pasta do Document AI Warehouse

Para listar os documentos filhos imediatos em uma pasta, faça o seguinte:

REST

Solicitação:

curl -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" https://contentwarehouse.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION/documents/FOLDER/linkedTargets

Resposta:

{
  "documentLinks": [
    {
      "name": "LINK_NAME1"
      "source_document_reference": {
       "document_name": "FOLDER_NAME"
      },
      "target_document_reference": {
       "document_name": "DOCUMENT_NAME1"
      }
    },
    {
      "name": "LINK_NAME2"
      "source_document_reference": {
       "document_name": "FOLDER_NAME"
      },
      "target_document_reference": {
       "document_name": "DOCUMENT_NAME2"
      }
    }
    ...
  ]
}

Python

from google.cloud import contentwarehouse_v1

def list_sub_docs(folder:str):
    # Create a client
    client = contentwarehouse_v1.DocumentLinkServiceClient()

    # Initialize request argument(s)
    request = contentwarehouse_v1.ListLinkedTargetsRequest(
        parent=folder,
    )

    # Make the request
    return client.list_linked_targets(request=request)

Remover um documento de uma pasta do Document AI Warehouse

Para remover um documento de uma pasta, você precisa do nome do link. É possível recuperar o nome do link usando o método documents.linkedTargets na etapa anterior.

REST

Solicitação:

curl -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" https://contentwarehouse.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION/documents/FOLDER/documentLinks/LINK:delete

Python

from google.cloud import contentwarehouse_v1

def remove_doc_from_folder(link:str):
    # Create a client
    client = contentwarehouse_v1.DocumentLinkServiceClient()

    # Initialize request argument(s)
    request = contentwarehouse_v1.DeleteDocumentLinkRequest(
        name=link,
    )

    # Make the request
    return client.delete_document_link(request=request)