feat: add get_job_status tool
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# coding=utf-8
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"""
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@Time :2026/6/24
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@Author :tao.chen
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"""
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from common.logging import logger
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from spark_executor.core.job_store import JobStore
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from spark_executor.core.yarn_client import get_application_status
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from spark_executor.models import JobStatus
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store = JobStore()
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def get_job_status(job_id: str) -> JobStatus:
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job = store.get(job_id)
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if job is None:
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raise KeyError(f"Unknown job_id: {job_id}")
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state, raw = get_application_status(job.application_id)
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logger.info(f"get_job_status job_id={job_id} state={state}")
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return JobStatus(application_id=job.application_id, state=state, raw=raw)
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@@ -0,0 +1,36 @@
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# coding=utf-8
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from datetime import datetime
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from unittest.mock import patch
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from spark_executor.core.job_store import JobStore
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from spark_executor.models import Job
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from spark_executor.tools import status
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def test_get_job_status_returns_state():
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status.store = JobStore()
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status.store.put(
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Job(
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job_id="abc",
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application_id="application_1",
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script_path="/tmp/j.py",
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queue="default",
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submit_time=datetime(2026, 6, 24),
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connection="prod",
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)
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)
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with patch(
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"spark_executor.tools.status.get_application_status",
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return_value=("RUNNING", "State : RUNNING\n"),
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):
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out = status.get_job_status("abc")
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assert out.application_id == "application_1"
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assert out.state == "RUNNING"
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assert "RUNNING" in out.raw
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def test_get_job_status_raises_for_unknown_job():
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status.store = JobStore()
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import pytest
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with pytest.raises(KeyError):
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status.get_job_status("missing")
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