{
  "context": "This criteria evaluates how well an engineer uses the apache-airflow-providers-dbt-cloud package to trigger and orchestrate dbt Cloud jobs within an Airflow DAG. The focus is on proper usage of the DbtCloudRunJobOperator and its configuration parameters for job execution.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "DbtCloudRunJobOperator Import",
      "description": "Correctly imports DbtCloudRunJobOperator from airflow.providers.dbt.cloud.operators.dbt",
      "max_score": 10
    },
    {
      "name": "Job Name Parameters",
      "description": "Uses project_name, environment_name, and job_name parameters to specify the job by name instead of job_id",
      "max_score": 20
    },
    {
      "name": "Connection ID Configuration",
      "description": "Configures dbt_cloud_conn_id parameter to specify the dbt Cloud connection",
      "max_score": 10
    },
    {
      "name": "Synchronous Waiting",
      "description": "Sets wait_for_termination parameter to True to enable synchronous job execution",
      "max_score": 15
    },
    {
      "name": "Timeout Configuration",
      "description": "Configures timeout parameter (in seconds) to control maximum wait time for job completion",
      "max_score": 10
    },
    {
      "name": "Polling Interval",
      "description": "Sets check_interval parameter to control how frequently the operator polls for job status",
      "max_score": 10
    },
    {
      "name": "Trigger Reason",
      "description": "Uses trigger_reason parameter to provide context for why the job was triggered",
      "max_score": 10
    },
    {
      "name": "DAG Structure",
      "description": "Properly instantiates the operator within a DAG context with appropriate task_id",
      "max_score": 10
    },
    {
      "name": "XCom Integration",
      "description": "Operator is configured to return job run ID which can be accessed by downstream tasks via XCom (inherent behavior when do_xcom_push is not disabled)",
      "max_score": 5
    }
  ]
}