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.
This commit is contained in:
@@ -83,16 +83,73 @@ def get_application_status(application_id: str, yarn_rm_url: str | None) -> tupl
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return state, json.dumps(data, indent=2)
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return state, json.dumps(data, indent=2)
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def _logs_unavailable_error(application_id: str) -> YarnError:
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"""Consistent error when logs cannot be retrieved from either path."""
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return YarnError(
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f"YARN aggregated logs not available for {application_id!r}. "
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f"The application may not be in FINISHED state, or "
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f"yarn.log-aggregation-enable is false on the cluster."
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)
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def _fetch_logs_via_nodemanager(application_id: str, yarn_rm_url: str | None) -> str:
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"""
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Hadoop 2.x fallback: walk app attempts -> containers -> NodeManager
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container logs and concatenate the results.
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"""
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base = _base_url(yarn_rm_url)
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app_url = f"{base}/ws/v1/cluster/apps/{application_id}"
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# Latest (or all) app attempts.
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attempts_url = f"{app_url}/appattempts"
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resp = _request("GET", attempts_url, timeout=30.0)
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if resp.status_code >= 400:
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raise _logs_unavailable_error(application_id)
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attempts = resp.json().get("appAttempts", {}).get("appAttempt", [])
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if not attempts:
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raise _logs_unavailable_error(application_id)
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# Collect containers across attempts.
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containers: list[dict] = []
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for attempt in attempts:
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attempt_id = attempt.get("id")
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if not attempt_id:
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continue
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containers_url = f"{app_url}/appattempts/{attempt_id}/containers"
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resp = _request("GET", containers_url, timeout=30.0)
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if resp.status_code >= 400:
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raise _logs_unavailable_error(application_id)
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containers.extend(resp.json().get("containers", {}).get("container", []))
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if not containers:
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raise _logs_unavailable_error(application_id)
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parts = []
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for container in containers:
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container_id = container.get("id")
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user = container.get("user")
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node_http_address = container.get("nodeHttpAddress")
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if not all((container_id, user, node_http_address)):
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continue
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nm_url = (
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f"http://{node_http_address}/node/containerlogs/{container_id}/{user}/"
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)
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resp = _request("GET", nm_url, timeout=60.0)
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if resp.status_code >= 400:
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raise _logs_unavailable_error(application_id)
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parts.append(f"=== container: {container_id} ===\n{resp.text}")
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if not parts:
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raise _logs_unavailable_error(application_id)
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return "\n\n".join(parts)
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def get_application_logs(application_id: str, yarn_rm_url: str | None) -> str:
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def get_application_logs(application_id: str, yarn_rm_url: str | None) -> str:
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"""Return aggregated container logs for an application as text."""
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"""Return aggregated container logs for an application as text."""
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url = f"{_base_url(yarn_rm_url)}/ws/v1/cluster/apps/{application_id}/aggregated-logs"
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url = f"{_base_url(yarn_rm_url)}/ws/v1/cluster/apps/{application_id}/aggregated-logs"
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resp = _request("GET", url, timeout=60.0)
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resp = _request("GET", url, timeout=60.0)
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if resp.status_code == 404:
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if resp.status_code in (404, 501):
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raise YarnError(
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return _fetch_logs_via_nodemanager(application_id, yarn_rm_url)
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f"YARN aggregated logs not available for {application_id!r}. "
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f"The application may not be in FINISHED state, or "
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f"yarn.log-aggregation-enable is false on the cluster."
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)
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if resp.status_code >= 400:
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if resp.status_code >= 400:
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logger.error(f"YARN GET {url} -> {resp.status_code}: {resp.text[:500]}")
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logger.error(f"YARN GET {url} -> {resp.status_code}: {resp.text[:500]}")
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raise YarnError(f"YARN GET logs returned HTTP {resp.status_code}")
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raise YarnError(f"YARN GET logs returned HTTP {resp.status_code}")
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@@ -96,27 +96,123 @@ def test_status_rejects_non_http_url():
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# --- get_application_logs ---
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# --- get_application_logs ---
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def test_logs_returns_text():
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def test_logs_returns_text_on_h3_aggregated_endpoint():
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fake = _resp(200, text="log line 1\nlog line 2\n")
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fake = _resp(200, text="log line 1\nlog line 2\n")
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with patch("spark_executor.core.yarn_client.httpx.request", return_value=fake) as m:
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with patch("spark_executor.core.yarn_client.httpx.request", return_value=fake) as m:
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out = get_application_logs("application_1", RM)
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out = get_application_logs("application_1", RM)
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assert out == "log line 1\nlog line 2\n"
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assert out == "log line 1\nlog line 2\n"
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assert m.call_args.args == ("GET", f"{RM}/ws/v1/cluster/apps/application_1/aggregated-logs")
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assert m.call_args.args == (
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"GET",
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f"{RM}/ws/v1/cluster/apps/application_1/aggregated-logs",
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)
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def test_logs_raises_on_404_with_explanation():
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def test_logs_falls_back_to_nodemanager_on_404():
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with patch("spark_executor.core.yarn_client.httpx.request", return_value=_resp(404)):
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responses = [
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_resp(404), # aggregated-logs H3 endpoint missing
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_resp(200, json_data={"appAttempts": {"appAttempt": [{"id": "attempt_1"}]}}),
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_resp(
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200,
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json_data={
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"containers": {
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"container": [
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{
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"id": "container_1",
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"user": "hdfs",
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"nodeHttpAddress": "nm1:8042",
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}
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]
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}
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},
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),
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_resp(200, text="container log content"),
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]
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with patch(
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"spark_executor.core.yarn_client.httpx.request", side_effect=responses
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) as m:
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out = get_application_logs("application_1", RM)
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assert "container_1" in out
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assert "container log content" in out
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calls = m.call_args_list
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assert calls[0].args == (
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"GET",
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f"{RM}/ws/v1/cluster/apps/application_1/aggregated-logs",
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)
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assert calls[1].args == ("GET", f"{RM}/ws/v1/cluster/apps/application_1/appattempts")
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assert calls[2].args == (
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"GET",
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f"{RM}/ws/v1/cluster/apps/application_1/appattempts/attempt_1/containers",
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)
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assert calls[3].args == (
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"GET",
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"http://nm1:8042/node/containerlogs/container_1/hdfs/",
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)
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def test_logs_raises_on_404_when_nm_also_empty():
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responses = [
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_resp(404), # aggregated-logs H3 endpoint missing
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_resp(200, json_data={"appAttempts": {"appAttempt": []}}),
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]
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with patch(
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"spark_executor.core.yarn_client.httpx.request", side_effect=responses
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):
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with pytest.raises(YarnError, match="log-aggregation-enable"):
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with pytest.raises(YarnError, match="log-aggregation-enable"):
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get_application_logs("application_1", RM)
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get_application_logs("application_1", RM)
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def test_logs_raises_on_5xx():
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def test_logs_handles_multiple_containers():
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responses = [
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_resp(404), # aggregated-logs H3 endpoint missing
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_resp(200, json_data={"appAttempts": {"appAttempt": [{"id": "attempt_1"}]}}),
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_resp(
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200,
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json_data={
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"containers": {
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"container": [
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{
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"id": "container_1",
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"user": "hdfs",
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"nodeHttpAddress": "nm1:8042",
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},
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{
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"id": "container_2",
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"user": "hdfs",
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"nodeHttpAddress": "nm2:8042",
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},
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]
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}
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},
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),
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_resp(200, text="log one"),
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_resp(200, text="log two"),
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]
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with patch(
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"spark_executor.core.yarn_client.httpx.request", side_effect=responses
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) as m:
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out = get_application_logs("application_1", RM)
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assert "log one" in out
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assert "log two" in out
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assert out.index("log one") < out.index("log two")
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calls = m.call_args_list
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assert calls[3].args == (
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"GET",
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"http://nm1:8042/node/containerlogs/container_1/hdfs/",
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)
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assert calls[4].args == (
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"GET",
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"http://nm2:8042/node/containerlogs/container_2/hdfs/",
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)
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def test_logs_5xx_on_aggregated_endpoint_raises_immediately():
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with patch(
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with patch(
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"spark_executor.core.yarn_client.httpx.request",
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"spark_executor.core.yarn_client.httpx.request",
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return_value=_resp(500, text="boom"),
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return_value=_resp(500, text="boom"),
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):
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) as m:
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with pytest.raises(YarnError):
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with pytest.raises(YarnError, match="500"):
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get_application_logs("application_1", RM)
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get_application_logs("application_1", RM)
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assert m.call_count == 1
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# --- kill_application ---
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# --- kill_application ---
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Block a user