# coding=utf-8 from datetime import datetime from unittest.mock import patch import pytest from spark_executor.core import connection_store from spark_executor.core.job_store import JobStore from spark_executor.models import Connection, Job from spark_executor.tools import logs from spark_executor.tools import connections def _fresh_stores(): store = connection_store.ConnectionStore() connection_store.store = store connections.store = store logs.conn_store = store logs.store = JobStore() def _seed(job_id="abc", app_id="application_1"): _fresh_stores() logs.conn_store.save(Connection(name="prod", master="yarn", yarn_rm_url="http://rm:8088")) logs.store.put( Job( job_id=job_id, application_id=app_id, script_path="/tmp/j.py", queue="default", submit_time=datetime(2026, 6, 24), connection="prod", yarn_rm_url="http://rm:8088", ) ) def test_get_job_logs_tails_to_default_5000(): _seed() big = "x" * 8000 + "\nEND" with patch("spark_executor.tools.logs.get_application_logs", return_value=big): out = logs.get_job_logs("abc") assert out.endswith("END") assert len(out) == 5000 def test_get_job_logs_respects_custom_tail_chars(): _seed() with patch( "spark_executor.tools.logs.get_application_logs", return_value="0123456789", ): out = logs.get_job_logs("abc", tail_chars=3) assert out == "789" def test_get_job_logs_raises_for_unknown_job(): _seed() with pytest.raises(KeyError): logs.get_job_logs("missing") def test_get_job_logs_raises_when_connection_missing(): _fresh_stores() logs.store.put( Job( job_id="abc", application_id="application_1", script_path="/tmp/j.py", queue="default", submit_time=datetime(2026, 6, 24), connection="missing", ) ) with pytest.raises(KeyError, match="Connection not found"): logs.get_job_logs("abc")