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[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],[],[[["\u003cp\u003eThis content demonstrates how to import documents from Spanner into a Vertex AI Agent Builder data store using the Python client library.\u003c/p\u003e\n"],["\u003cp\u003eIt requires setting up Application Default Credentials for authentication and specifies the necessary project, location, and data store IDs.\u003c/p\u003e\n"],["\u003cp\u003eThe code includes specifying Spanner source details like project, instance, database, and table IDs for the import.\u003c/p\u003e\n"],["\u003cp\u003eThe process involves making an \u003ccode\u003eImportDocumentsRequest\u003c/code\u003e with \u003ccode\u003eSpannerSource\u003c/code\u003e and using the \u003ccode\u003eINCREMENTAL\u003c/code\u003e reconciliation mode for the import.\u003c/p\u003e\n"],["\u003cp\u003eAfter the import, the script retrieves and displays the operation's metadata, showcasing the completion status of the import process.\u003c/p\u003e\n"]]],[],null,["# Import documents from Spanner\n\nExplore further\n---------------\n\n\nFor detailed documentation that includes this code sample, see the following:\n\n- [Create a search data store](/generative-ai-app-builder/docs/create-data-store-es)\n\nCode sample\n-----------\n\n### Python\n\n\nFor more information, see the\n[AI Applications Python API\nreference documentation](/python/docs/reference/discoveryengine/latest).\n\n\nTo authenticate to AI Applications, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n from google.api_core.client_options import ClientOptions\n from google.cloud import discoveryengine\n\n # TODO(developer): Uncomment these variables before running the sample.\n # project_id = \"YOUR_PROJECT_ID\"\n # location = \"YOUR_LOCATION\" # Values: \"global\"\n # data_store_id = \"YOUR_DATA_STORE_ID\"\n # spanner_project_id = \"YOUR_SPANNER_PROJECT_ID\"\n # spanner_instance_id = \"YOUR_SPANNER_INSTANCE_ID\"\n # spanner_database_id = \"YOUR_SPANNER_DATABASE_ID\"\n # spanner_table_id = \"YOUR_SPANNER_TABLE_ID\"\n\n # For more information, refer to:\n # https://cloud.google.com/generative-ai-app-builder/docs/locations#specify_a_multi-region_for_your_data_store\n client_options = (\n ClientOptions(api_endpoint=f\"{location}-discoveryengine.googleapis.com\")\n if location != \"global\"\n else None\n )\n\n # Create a client\n client = discoveryengine.https://cloud.google.com/python/docs/reference/discoveryengine/latest/google.cloud.discoveryengine_v1.services.document_service.DocumentServiceClient.html(client_options=client_options)\n\n # The full resource name of the search engine branch.\n # e.g. projects/{project}/locations/{location}/dataStores/{data_store_id}/branches/{branch}\n parent = client.https://cloud.google.com/python/docs/reference/discoveryengine/latest/google.cloud.discoveryengine_v1.services.document_service.DocumentServiceClient.html#google_cloud_discoveryengine_v1_services_document_service_DocumentServiceClient_branch_path(\n project=project_id,\n location=location,\n data_store=data_store_id,\n branch=\"default_branch\",\n )\n\n request = discoveryengine.https://cloud.google.com/python/docs/reference/discoveryengine/latest/google.cloud.discoveryengine_v1.types.ImportDocumentsRequest.html(\n parent=parent,\n spanner_source=discoveryengine.https://cloud.google.com/python/docs/reference/discoveryengine/latest/google.cloud.discoveryengine_v1.types.SpannerSource.html(\n project_id=spanner_project_id,\n instance_id=spanner_instance_id,\n database_id=spanner_database_id,\n table_id=spanner_table_id,\n ),\n # Options: `FULL`, `INCREMENTAL`\n reconciliation_mode=discoveryengine.https://cloud.google.com/python/docs/reference/discoveryengine/latest/google.cloud.discoveryengine_v1.types.ImportDocumentsRequest.html.https://cloud.google.com/python/docs/reference/discoveryengine/latest/google.cloud.discoveryengine_v1.types.ImportDocumentsRequest.ReconciliationMode.html.INCREMENTAL,\n )\n\n # Make the request\n operation = client.https://cloud.google.com/python/docs/reference/discoveryengine/latest/google.cloud.discoveryengine_v1.services.document_service.DocumentServiceClient.html#google_cloud_discoveryengine_v1_services_document_service_DocumentServiceClient_import_documents(request=request)\n\n print(f\"Waiting for operation to complete: {operation.operation.name}\")\n response = operation.result()\n\n # After the operation is complete,\n # get information from operation metadata\n metadata = discoveryengine.https://cloud.google.com/python/docs/reference/discoveryengine/latest/google.cloud.discoveryengine_v1.types.ImportDocumentsMetadata.html(operation.metadata)\n\n # Handle the response\n print(response)\n print(metadata)\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=genappbuilder)."]]
