Importa documenti da Bigtable

Importare documenti da Bigtable

Per saperne di più

Per la documentazione dettagliata che include questo esempio di codice, vedi quanto segue:

• Crea un datastore di ricerca

Esempio di codice

Python

Per saperne di più, consulta la documentazione di riferimento dell'API AI Applications per Python.

Per autenticarti in AI Applications, configura le Credenziali predefinite dell'applicazione. Per ulteriori informazioni, consulta Configura l'autenticazione per un ambiente di sviluppo locale.

from google.api_core.client_options import ClientOptions
from google.cloud import discoveryengine

# TODO(developer): Uncomment these variables before running the sample.
# project_id = "YOUR_PROJECT_ID"
# location = "YOUR_LOCATION" # Values: "global"
# data_store_id = "YOUR_DATA_STORE_ID"
# bigtable_project_id = "YOUR_BIGTABLE_PROJECT_ID"
# bigtable_instance_id = "YOUR_BIGTABLE_INSTANCE_ID"
# bigtable_table_id = "YOUR_BIGTABLE_TABLE_ID"

#  For more information, refer to:
# https://cloud.google.com/generative-ai-app-builder/docs/locations#specify_a_multi-region_for_your_data_store
client_options = (
    ClientOptions(api_endpoint=f"{location}-discoveryengine.googleapis.com")
    if location != "global"
    else None
)

# Create a client
client = discoveryengine.DocumentServiceClient(client_options=client_options)

# The full resource name of the search engine branch.
# e.g. projects/{project}/locations/{location}/dataStores/{data_store_id}/branches/{branch}
parent = client.branch_path(
    project=project_id,
    location=location,
    data_store=data_store_id,
    branch="default_branch",
)

bigtable_options = discoveryengine.BigtableOptions(
    families={
        "family_name_1": discoveryengine.BigtableOptions.BigtableColumnFamily(
            type_=discoveryengine.BigtableOptions.Type.STRING,
            encoding=discoveryengine.BigtableOptions.Encoding.TEXT,
            columns=[
                discoveryengine.BigtableOptions.BigtableColumn(
                    qualifier="qualifier_1".encode("utf-8"),
                    field_name="field_name_1",
                ),
            ],
        ),
        "family_name_2": discoveryengine.BigtableOptions.BigtableColumnFamily(
            type_=discoveryengine.BigtableOptions.Type.INTEGER,
            encoding=discoveryengine.BigtableOptions.Encoding.BINARY,
        ),
    }
)

request = discoveryengine.ImportDocumentsRequest(
    parent=parent,
    bigtable_source=discoveryengine.BigtableSource(
        project_id=bigtable_project_id,
        instance_id=bigtable_instance_id,
        table_id=bigtable_table_id,
        bigtable_options=bigtable_options,
    ),
    # Options: `FULL`, `INCREMENTAL`
    reconciliation_mode=discoveryengine.ImportDocumentsRequest.ReconciliationMode.INCREMENTAL,
)

# Make the request
operation = client.import_documents(request=request)

print(f"Waiting for operation to complete: {operation.operation.name}")
response = operation.result()

# After the operation is complete,
# get information from operation metadata
metadata = discoveryengine.ImportDocumentsMetadata(operation.metadata)

# Handle the response
print(response)
print(metadata)

Passaggi successivi

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