Claude
10f075ab7f
Add per-Connection authentication so CDH 5 / Kerberos / HTTP Basic clusters can be queried. - auth_type: none / simple / basic / kerberos - auth_user / auth_password for HTTP Basic - auth_principal / auth_keytab stored for audit/display; actual SPNEGO handled by httpx-kerberos using the system Kerberos credential cache - YarnClientConfig.auth_for_httpx() returns the right httpx.Auth object - _request passes auth= through to httpx.request alongside verify= New dependency: httpx-kerberos. Tests cover none/simple (no auth object), Basic auth header, Kerberos auth object, missing basic user, invalid auth_type, and tool-layer config propagation.
106 lines
3.1 KiB
Python
106 lines
3.1 KiB
Python
# coding=utf-8
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from datetime import datetime
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from unittest.mock import patch
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import pytest
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from spark_executor.core.job_store import JobStore
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from spark_executor.core import connection_store
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from spark_executor.models import Connection, Job
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from spark_executor.tools import connections, status
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from spark_executor.core.yarn_client import YarnClientConfig
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def _fresh_stores():
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"""Reset job store and connection store singletons for a single test."""
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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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status.conn_store = store
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status.store = JobStore()
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def test_get_job_status_returns_state():
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_fresh_stores()
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status.conn_store.save(Connection(name="prod", master="yarn", yarn_rm_url="http://rm:8088"))
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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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yarn_rm_url="http://rm:8088",
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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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) as m:
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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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# resolved YarnClientConfig is forwarded to the REST client
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args = m.call_args.args
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assert args[0] == "application_1"
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assert args[1].yarn_rm_url == "http://rm:8088"
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def test_get_job_status_raises_for_unknown_job():
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_fresh_stores()
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with pytest.raises(KeyError):
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status.get_job_status("missing")
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def test_get_job_status_raises_when_connection_missing():
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_fresh_stores()
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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="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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status.get_job_status("abc")
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def test_get_job_status_passes_auth_config():
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_fresh_stores()
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status.conn_store.save(
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Connection(
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name="secure",
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master="yarn",
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yarn_rm_url="http://rm:8088",
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auth_type="basic",
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auth_user="hdfs",
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auth_password="secret",
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)
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)
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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="secure",
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yarn_rm_url="http://rm:8088",
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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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) as m:
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status.get_job_status("abc")
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args = m.call_args.args
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assert args[0] == "application_1"
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assert isinstance(args[1], YarnClientConfig)
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assert args[1].auth_type == "basic"
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assert args[1].auth_user == "hdfs"
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