Membuat daftar penyimpanan data

Membuat daftar penyimpanan data

Contoh kode

Python

Untuk mengetahui informasi selengkapnya, lihat Dokumentasi referensi API Python Vertex AI Agent Builder.

Untuk melakukan autentikasi ke Vertex AI Agent Builder, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, lihat Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

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"


def list_data_stores_sample(
    project_id: str,
    location: str,
) -> discoveryengine.ListDataStoresResponse:
    #  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.DataStoreServiceClient(client_options=client_options)

    request = discoveryengine.ListDataStoresRequest(
        # The full resource name of the data store
        parent=client.collection_path(
            project_id, location, collection="default_collection"
        )
    )

    # Make the request
    response = client.list_data_stores(request=request)

    for data_store in response:
        print(data_store)

    return response

Langkah berikutnya

Untuk menelusuri dan memfilter contoh kode untuk produk Google Cloud lainnya, lihat Google Cloud browser contoh.