获取实体协调作业

获取实体协调作业的详细信息。

深入探索

如需查看包含此代码示例的详细文档，请参阅以下内容：

代码示例

Python

如需了解详情，请参阅 Enterprise Knowledge Graph Python API 参考文档。

如需向 Enterprise Knowledge Graph 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。 


from google.cloud import enterpriseknowledgegraph as ekg

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_GRAPH_LOCATION'  # Values: 'global'
# job_id = 'YOUR_JOB_ID'            # Entity Reconciliation Job ID


def get_entity_reconciliation_job_sample(
    project_id: str, location: str, job_id: str
) -> None:
    # Create a client
    client = ekg.EnterpriseKnowledgeGraphServiceClient()

    # The full resource name of the job
    # e.g. projects/{project_id}/locations/{location}/entityReconciliationJobs/{entity_reconciliation_job}
    name = client.entity_reconciliation_job_path(
        project=project_id, location=location, entity_reconciliation_job=job_id
    )

    # Initialize request argument(s)
    request = ekg.GetEntityReconciliationJobRequest(name=name)

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

    print(f"Job: {response.name}")
    print(
        f"Input Table: {response.input_config.bigquery_input_configs[0].bigquery_table}"
    )
    print(f"Output Dataset: {response.output_config.bigquery_dataset}")
    print(f"State: {response.state.name}")

后续步骤

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