testing-dags（测试数据）

DAG Testing Skill

Use the Airflow VS Code extension tools to test, debug, and fix DAGs in iterative cycles.

First Action: Trigger the DAG

When the user asks to test a DAG, your first action should be:

• trigger_dag_run with the provided DAG ID and config

Do not do pre-flight checks unless the user asks for them.

Testing Workflow Overview

1. Trigger and monitor
2. If success, summarize
3. If failed, debug
4. Fix and retest

Phase 1: Trigger and Monitor

1. Trigger: trigger_dag_run
2. Monitor:

- Use get_dag_runs to check state - If a specific run ID is known, use get_dag_run_detail

Response Interpretation

• Success: summarize duration and outcome
• Failed: move to Phase 2
• Running: ask whether to keep polling

Phase 2: Debug Failures

1. Use analyse_dag_latest_run for a full analysis of the latest run
2. If a specific run ID is known, use get_dag_run_detail
3. If task logs are needed, open go_to_dag_log_view

Phase 3: Fix and Retest

1. Apply fixes in the DAG or related systems
2. Re-trigger with trigger_dag_run
3. Re-check with get_dag_runs or get_dag_run_detail

Notes

• Prefer analyse_dag_latest_run for fast triage
• Use get_dag_history when comparing across days