Files
mcp-server/tests/unit/test_yarn_client.py
T
Claude a5c587dc5f feat(yarn_client): H2 fallback to NM container logs when /aggregated-logs 404/501
`/ws/v1/cluster/apps/{id}/aggregated-logs` is a Hadoop 3+ endpoint; on
CDH 5 / Hadoop 2.6 it returns 404 and the old code surfaced a hard error
to the user. Add capability detection in `get_application_logs`: on 404 or
501 from the aggregated-logs endpoint, walk `appattempts` -> `containers`
-> NodeManager `/node/containerlogs/{id}/{user}/` and concatenate the
results.

5xx on the aggregated-logs endpoint still raises immediately (no fallback
attempted for genuine server errors). The H3 fast path is unchanged.

Constraints honored:
- No `subprocess` / `yarn` CLI. The whole point of yarn_client.py is to
  avoid that dependency, so the fallback stays on `httpx` + REST.
- No new pyproject.toml / uv.lock dependencies.
- Public signature of `get_application_logs` unchanged; `tools/logs.py`
  needs no changes.
- No version detection — pure capability detection (try, react to status).

Tests: replaced the old "raise on 404" test with 5 new cases (H3 fast
path, NM fallback, NM path empty, multiple containers, 5xx immediate
raise). `uv run pytest` -> 167 passed.
2026-06-26 11:05:52 +08:00

247 lines
8.1 KiB
Python

# coding=utf-8
from unittest.mock import patch
import httpx
import pytest
from common import config
from spark_executor.core.yarn_client import (
YarnConfigError,
YarnError,
get_application_logs,
get_application_status,
kill_application,
)
RM = "http://rm:8088"
@pytest.fixture(autouse=True)
def _restore_settings():
"""Each test gets a clean copy of `settings` so env-var-style overrides
in one test don't leak into the next."""
snapshot = config.Settings(
data_dir=config.settings.data_dir,
jobs_dir=config.settings.jobs_dir,
yarn_resource_manager_url=config.settings.yarn_resource_manager_url,
log_level=config.settings.log_level,
)
yield
config.settings.data_dir = snapshot.data_dir
config.settings.jobs_dir = snapshot.jobs_dir
config.settings.yarn_resource_manager_url = snapshot.yarn_resource_manager_url
config.settings.log_level = snapshot.log_level
def _resp(status: int, *, json_data=None, text: str | None = None) -> httpx.Response:
if json_data is not None:
return httpx.Response(status, json=json_data)
return httpx.Response(status, text=text or "")
# --- get_application_status ---
def test_status_parses_app_state():
fake = _resp(200, json_data={"app": {"id": "application_1", "state": "RUNNING"}})
with patch("spark_executor.core.yarn_client.httpx.request", return_value=fake) as m:
state, raw = get_application_status("application_1", RM)
assert state == "RUNNING"
assert "RUNNING" in raw
args = m.call_args.args
assert args == ("GET", f"{RM}/ws/v1/cluster/apps/application_1")
def test_status_raises_on_404():
with patch("spark_executor.core.yarn_client.httpx.request", return_value=_resp(404)):
with pytest.raises(YarnError, match="not found"):
get_application_status("application_x", RM)
def test_status_raises_on_5xx():
with patch(
"spark_executor.core.yarn_client.httpx.request",
return_value=_resp(503, text="upstream down"),
):
with pytest.raises(YarnError, match="503"):
get_application_status("application_1", RM)
def test_status_raises_when_state_field_missing():
fake = _resp(200, json_data={"app": {"id": "application_1"}})
with patch("spark_executor.core.yarn_client.httpx.request", return_value=fake):
with pytest.raises(YarnError, match="Could not parse YARN state"):
get_application_status("application_1", RM)
def test_status_requires_rm_url():
config.settings.yarn_resource_manager_url = None
with pytest.raises(YarnConfigError):
get_application_status("application_1", None)
def test_status_falls_back_to_settings_yarn_rm_url():
config.settings.yarn_resource_manager_url = "http://env-rm:8088"
fake = _resp(200, json_data={"app": {"state": "FINISHED"}})
with patch("spark_executor.core.yarn_client.httpx.request", return_value=fake) as m:
state, _ = get_application_status("application_1", None)
assert state == "FINISHED"
assert "env-rm:8088" in m.call_args.args[1]
def test_status_rejects_non_http_url():
with pytest.raises(YarnConfigError, match="must start with"):
get_application_status("application_1", "rm:8088")
# --- get_application_logs ---
def test_logs_returns_text_on_h3_aggregated_endpoint():
fake = _resp(200, text="log line 1\nlog line 2\n")
with patch("spark_executor.core.yarn_client.httpx.request", return_value=fake) as m:
out = get_application_logs("application_1", RM)
assert out == "log line 1\nlog line 2\n"
assert m.call_args.args == (
"GET",
f"{RM}/ws/v1/cluster/apps/application_1/aggregated-logs",
)
def test_logs_falls_back_to_nodemanager_on_404():
responses = [
_resp(404), # aggregated-logs H3 endpoint missing
_resp(200, json_data={"appAttempts": {"appAttempt": [{"id": "attempt_1"}]}}),
_resp(
200,
json_data={
"containers": {
"container": [
{
"id": "container_1",
"user": "hdfs",
"nodeHttpAddress": "nm1:8042",
}
]
}
},
),
_resp(200, text="container log content"),
]
with patch(
"spark_executor.core.yarn_client.httpx.request", side_effect=responses
) as m:
out = get_application_logs("application_1", RM)
assert "container_1" in out
assert "container log content" in out
calls = m.call_args_list
assert calls[0].args == (
"GET",
f"{RM}/ws/v1/cluster/apps/application_1/aggregated-logs",
)
assert calls[1].args == ("GET", f"{RM}/ws/v1/cluster/apps/application_1/appattempts")
assert calls[2].args == (
"GET",
f"{RM}/ws/v1/cluster/apps/application_1/appattempts/attempt_1/containers",
)
assert calls[3].args == (
"GET",
"http://nm1:8042/node/containerlogs/container_1/hdfs/",
)
def test_logs_raises_on_404_when_nm_also_empty():
responses = [
_resp(404), # aggregated-logs H3 endpoint missing
_resp(200, json_data={"appAttempts": {"appAttempt": []}}),
]
with patch(
"spark_executor.core.yarn_client.httpx.request", side_effect=responses
):
with pytest.raises(YarnError, match="log-aggregation-enable"):
get_application_logs("application_1", RM)
def test_logs_handles_multiple_containers():
responses = [
_resp(404), # aggregated-logs H3 endpoint missing
_resp(200, json_data={"appAttempts": {"appAttempt": [{"id": "attempt_1"}]}}),
_resp(
200,
json_data={
"containers": {
"container": [
{
"id": "container_1",
"user": "hdfs",
"nodeHttpAddress": "nm1:8042",
},
{
"id": "container_2",
"user": "hdfs",
"nodeHttpAddress": "nm2:8042",
},
]
}
},
),
_resp(200, text="log one"),
_resp(200, text="log two"),
]
with patch(
"spark_executor.core.yarn_client.httpx.request", side_effect=responses
) as m:
out = get_application_logs("application_1", RM)
assert "log one" in out
assert "log two" in out
assert out.index("log one") < out.index("log two")
calls = m.call_args_list
assert calls[3].args == (
"GET",
"http://nm1:8042/node/containerlogs/container_1/hdfs/",
)
assert calls[4].args == (
"GET",
"http://nm2:8042/node/containerlogs/container_2/hdfs/",
)
def test_logs_5xx_on_aggregated_endpoint_raises_immediately():
with patch(
"spark_executor.core.yarn_client.httpx.request",
return_value=_resp(500, text="boom"),
) as m:
with pytest.raises(YarnError, match="500"):
get_application_logs("application_1", RM)
assert m.call_count == 1
# --- kill_application ---
def test_kill_sends_put_with_killed_state():
fake = _resp(200, json_data={"app": {"state": "KILLED"}})
with patch("spark_executor.core.yarn_client.httpx.request", return_value=fake) as m:
kill_application("application_1", RM)
args = m.call_args.args
assert args == ("PUT", f"{RM}/ws/v1/cluster/apps/application_1/state")
assert m.call_args.kwargs["json"] == {"state": "KILLED"}
def test_kill_raises_on_5xx():
with patch(
"spark_executor.core.yarn_client.httpx.request",
return_value=_resp(403, text="forbidden"),
):
with pytest.raises(YarnError, match="403"):
kill_application("application_1", RM)
# --- connection errors ---
def test_status_wraps_httpx_errors_as_yarn_error():
with patch(
"spark_executor.core.yarn_client.httpx.request",
side_effect=httpx.ConnectError("connection refused"),
):
with pytest.raises(YarnError, match="connection failed"):
get_application_status("application_1", RM)