Add 3 new MCP tools for inspecting YARN applications NOT submitted through this service: get_external_job_logs, get_external_job_status, get_external_job_result. Each takes application_id + connection_name and queries YARN directly, bypassing the local JobStore. - spark_executor/tools/external_jobs.py: 3 tool functions - spark_executor/tools/requests.py: 3 new Pydantic body models (ExternalJobLogsRequest, ExternalJobStatusRequest, ExternalJobResultRequest) - spark_executor/server.py: 3 new POST routes with explicit operation_id - tests/unit/test_external_jobs.py: 7 unit tests - tests/integration/test_mcp_routes.py: assert 20 tool routes - README.md: list the 3 new tools To make the LLM pick the right tool and not guess at field values, also: - Add Pydantic field descriptions for 22 fields across 8 request models (SaveConnectionRequest, UpdatePendingJobRequest, GetJobLogsRequest, JobIdRequest, PendingIdRequest, ConnectionNameRequest, plus the new ExternalJob*Request models). - Update 12 route descriptions with cross-references, prerequisite context, and 400 behavior notes. - Refactor _unknown_job_error: an input that looks like a YARN application_id (starts with 'application_') now returns HTTP 400 (ValueError) with a hint message naming the right external tool; other not-found cases still return 404 (KeyError). This catches the common LLM mistake of passing application_id to the internal get_job_* / kill_job tools. - 4 new unit tests for the 400 behavior. Tests: 356 passed (up from 242). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
120 lines
3.9 KiB
Python
120 lines
3.9 KiB
Python
# coding=utf-8
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from datetime import datetime
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from pathlib import Path
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from unittest.mock import patch
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import pytest
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from spark_executor.core import connection_store
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from spark_executor.core.job_store import JobStore
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from spark_executor.models import Connection, Job
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from spark_executor.tools import logs
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from spark_executor.tools import connections
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@pytest.fixture
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def fresh_stores(tmp_path: Path):
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"""Wire up connection + job stores rooted in tmp_path. Per-test isolation
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so file-backed JobStore doesn't leak between cases."""
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store = connection_store.ConnectionStore(data_dir=str(tmp_path))
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connection_store.store = store
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connections.store = store
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logs.conn_store = store
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logs.store = JobStore(data_dir=str(tmp_path))
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def _seed(job_id="abc", app_id="application_1"):
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store = connection_store.ConnectionStore()
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connection_store.store = store
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connections.store = store
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logs.conn_store = store
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logs.store = JobStore()
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logs.conn_store.save(Connection(name="prod", master="yarn", yarn_rm_url="http://rm:8088"))
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logs.store.put(
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Job(
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job_id=job_id,
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application_id=app_id,
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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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yarn_rm_url="http://rm:8088",
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)
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)
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def test_get_job_logs_tails_to_default_5000():
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_seed()
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big = "x" * 8000 + "\nEND"
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with patch("spark_executor.tools.logs.get_application_logs", return_value=big):
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out = logs.get_job_logs("abc")
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assert out.endswith("END")
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assert len(out) == 5000
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def test_get_job_logs_respects_custom_tail_chars():
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_seed()
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with patch(
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"spark_executor.tools.logs.get_application_logs",
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return_value="0123456789",
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):
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out = logs.get_job_logs("abc", tail_chars=3)
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assert out == "789"
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def test_get_job_logs_raises_for_unknown_job():
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_seed()
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with pytest.raises(KeyError):
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logs.get_job_logs("missing")
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def test_get_job_logs_raises_400_for_external_application_id(fresh_stores):
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"""Input that looks like a YARN application_id but is not in the local
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JobStore must raise ValueError (-> 400) with a hint to use the
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external tool, NOT a generic KeyError (-> 404)."""
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with pytest.raises(ValueError, match="get_external_job_logs"):
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logs.get_job_logs("application_17400000001_0001")
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def test_get_job_logs_raises_when_connection_missing(fresh_stores):
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logs.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="missing",
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)
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)
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with pytest.raises(KeyError, match="Connection not found"):
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logs.get_job_logs("abc")
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# --- application_id accepted (regression: "agent passed wrong id" bug) ---
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def test_get_job_logs_accepts_application_id():
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"""The agent gets both job_id and application_id back from
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confirm_submit_job and routinely passes the wrong one. The tool must
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accept EITHER and return the same logs."""
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_seed(job_id="a1b2c3d4e5f6", app_id="application_17400000001_0001")
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with patch(
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"spark_executor.tools.logs.get_application_logs",
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return_value="logs here",
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) as m:
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out = logs.get_job_logs("application_17400000001_0001")
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assert out == "logs here"
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# And the underlying YARN call used the YARN ID, not the local job_id.
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assert m.call_args.args[0] == "application_17400000001_0001"
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def test_get_job_logs_unknown_error_message_mentions_both_ids():
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"""The "neither matched" error should explicitly call out BOTH
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accepted id forms so the agent doesn't guess."""
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_seed()
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with pytest.raises(KeyError) as ei:
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logs.get_job_logs("totally-fake")
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msg = str(ei.value)
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assert "job_id" in msg
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assert "application_id" in msg
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