litellm/tests/integration/observability/test_logging_only_scope_chaos.py
devin-ai-integration[bot] 7efce7f8e0
test(integration): give chaos and timing tests a harness API and gate raw signals (#46031)
* test(integration): give chaos and timing tests a harness API and gate raw signals

Chaos tests killed and suspended proxy workers with raw os.kill and psutil
calls and bounded elapsed time with fixed literals, so they raced the uvicorn
worker healthcheck and failed on slow CI boxes

OwnedProxy now offers kill_worker and replacing_worker, which return only once
a replacement answers readiness with its own pid, and suspended, which is
refused unless the proxy was launched with a lenient worker healthcheck.
timing.py bounds durations against a measured control or the injected delay.
run.py measures the proxy import time once and derives readiness deadlines and
the per-test timeout from it, writing boot-calibration.json

check_test_quality.py adds TQ010 (raw process signals) and TQ011 (elapsed time
asserted under a numeric literal) for tests/integration outside _support, and
every call site is migrated so both report zero with no suppressions

* test(integration): steer the assistants wire burst onto both workers

The mixed-status burst assumed the OS would spread 48 connections across both workers and failed when one worker took them all. Each half is now sent while the other worker is suspended, and the test asserts an exact 24 and 24 split

* test(integration): restore product-enforced timing bounds lost in the migration

Some TQ011 migrations dropped or loosened a bound whose time is the behaviour
under test. The websocket session cap only kept its floor, so a cap closing at
300 s would have passed, and several timeouts were bounded by the injected stall
instead of the configured product value

assert_enforced_within bounds an elapsed time by the configured value plus
explicit slack, with an optional floor. The websocket cap, the MCP validation
timeout, the guardrail litellm_params timeout, the prisma command timeouts, the
baseline projection lock timeout and the key metadata statement timeout use it.
The device code refusal keeps its 15 s margin, and the langfuse retried prompt
fetch is now bounded by a cold fetch of a steady prompt as well as by the
ignored retry-after

* fix(tests): wait for the supervisor to reap killed workers and fix real-kill migrations

The lenient worker healthcheck was the whole case budget, so uvicorn's supervisor sat
in a ping on the killed worker for up to that long before respawning it. It now uses
the graceful stop budget, and a worker kill returns only after the victim is reaped,
so pooled connections no longer race the dead worker's socket.

Several tests on main picked the multiprocessing resource tracker as their victim and
never killed a worker. Now that they kill a real one, presidio counts streams cut by
the death, delete_model waits for the config reload that removes a deleted model from
a replacement worker, and the wedged coordination Redis test kills before the wedge
and waits for every parked publish to fail before resuming Redis.

The redis cluster test imports the harness through the tests package so it collects
in the unit job, and the per-model fallback rig exposes the owned proxy it now needs.

* test(observability): only require S3 deliveries the killed worker could not have buffered

A real SIGKILL drops the victim's unflushed batch, so requests it already answered can't be expected to land. The test now requires every request served after the replacement to land, some of the surviving worker's burst share to land, and nothing unsent to land

---------

Co-authored-by: Yuneng Jiang <yuneng@berri.ai>
2026-10-12 05:27:33 -07:00

761 lines
37 KiB
Python

from __future__ import annotations
import socket
import threading
import time
import uuid
from collections.abc import Callable
from concurrent.futures import ThreadPoolExecutor
from itertools import accumulate, repeat
from pathlib import Path
from queue import SimpleQueue
from typing import Final
import httpx
import psutil
import pytest
from _logging_only_scope_support import (
JSON_OBJECT,
CallerResult,
ChaosCall,
_assert_response_id,
_call_client,
_chaos_calls,
_chaos_control_configuration,
_chaos_model_list,
_chaos_models,
_chaos_spend_minimums,
_configuration,
_direction,
_directions_for_audit_leg,
_drain_upstream,
_guardrail_entries,
_is_base_audit_leg,
_json_contains_exact_string,
_policy_call_id_matches,
_spend_rows,
_spend_rows_for_calls,
_spend_rows_matching_call,
wire_server,
)
from _logging_only_scope_support import (
_record_audit_properties as _record_audit_properties,
)
from anthropic import APIConnectionError as AnthropicAPIConnectionError
from integration._support.client import Gateway, eventually
from integration._support.process import owned_proxy, owned_proxy_process
from integration._support.timing import Timed, assert_not_delayed_by, timed
from integration._support.wire import Reply, Request
from openai import APIConnectionError as OpenAIAPIConnectionError
from pydantic import JsonValue
_EDGE_DELAY_SECONDS: Final = 5
@pytest.mark.timeout(180)
def test_K1_policy_edge_restart_mid_burst_keeps_output_observation_fail_open(gateway: Gateway, tmp_path: Path) -> None:
identity: Final = f"logging-scope-k1-{uuid.uuid4().hex}"
marker: Final = uuid.uuid4().hex
def policy(_request: Request) -> Reply:
return Reply(body=b'{"action":"NONE"}')
with socket.socket() as reservation:
reservation.bind(("127.0.0.1", 0))
policy_port: Final = reservation.getsockname()[1]
with gateway.scenario() as scenario:
deployments: Final = _chaos_models(scenario, marker)
models: Final = tuple(deployment.model_name for deployment in deployments)
model_list: Final = _chaos_model_list(deployments)
chaos_calls: Final = _chaos_calls(deployments, marker)
expected_directions: Final = _directions_for_audit_leg(("request", "response"), "output")
control_config: Final = _chaos_control_configuration(tmp_path, identity, model_list)
with owned_proxy(gateway, tmp_path, {}, config=control_config, workers=2) as control_proxy:
controls: Final = tuple(
_call_client(
call.client_kind,
call.endpoint,
control_proxy,
call.model,
call.prompt,
call.stream,
f"{call.call_id}-control",
)
for call in chaos_calls
)
control_upstream: Final = _drain_upstream(gateway.upstream_url)
assert len(control_upstream) == 30, control_upstream
assert (
tuple(
sum(_json_contains_exact_string(observation["body"], call.prompt) for observation in control_upstream)
for call in chaos_calls
)
== (1,) * 30
), control_upstream
config: Final = _configuration(
tmp_path,
identity,
f"http://127.0.0.1:{policy_port}",
"output",
model_list=model_list,
)
with owned_proxy(gateway, tmp_path, {}, config=config, workers=2) as candidate:
starts: Final = tuple(threading.Event() for _ in range(3))
def run(index: int) -> tuple[int, CallerResult]:
call: Final = chaos_calls[index]
phase: Final = index // 10
assert starts[phase].wait(timeout=90), (index, phase)
return index, _call_client(
call.client_kind,
call.endpoint,
candidate,
call.model,
call.prompt,
call.stream,
call.call_id,
)
with ThreadPoolExecutor(max_workers=30) as pool:
futures: Final = tuple(pool.submit(run, index) for index in range(30))
try:
with wire_server(policy, port=policy_port) as initial_edge:
starts[0].set()
first: Final = tuple(futures[index].result(timeout=90) for index in range(10))
eventually(
lambda: initial_edge.received.qsize(),
lambda count: count == 10 * len(expected_directions),
seconds=30,
)
tuple(
_spend_rows(model, minimum)
for model, minimum in zip(models, _chaos_spend_minimums(models, chaos_calls[:10], 5))
)
starts[1].set()
middle: Final = tuple(futures[index].result(timeout=90) for index in range(10, 20))
tuple(
_spend_rows(model, minimum)
for model, minimum in zip(models, _chaos_spend_minimums(models, chaos_calls[:20], 5))
)
with wire_server(policy, port=policy_port) as recovered_edge:
starts[2].set()
recovered: Final = tuple(futures[index].result(timeout=90) for index in range(20, 30))
eventually(
lambda: recovered_edge.received.qsize(),
lambda count: count == 10 * len(expected_directions),
seconds=30,
)
tuple(_spend_rows(model, 10) for model in models)
finally:
for start in starts:
start.set()
results: Final = first + middle + recovered
assert tuple(index for index, _ in results) == tuple(range(30)), results
assert all(result.status == controls[index].status for index, result in results), results
assert all(result.text == controls[index].text for index, result in results), results
candidate_ids: Final = tuple(result.response_id for _, result in results)
assert len(set(candidate_ids)) == 30, candidate_ids
observed_upstream: Final = _drain_upstream(gateway.upstream_url)
assert len(observed_upstream) == 30, observed_upstream
assert (
tuple(
sum(
_json_contains_exact_string(observation["body"], call.prompt)
for observation in observed_upstream
)
for call in chaos_calls
)
== (1,) * 30
), observed_upstream
expected_success_ids: Final = frozenset(
call.call_id for call in chaos_calls if call.index < 10 or call.index >= 20
)
edge_payloads: Final = tuple(
JSON_OBJECT.validate_json(call.body) for call in initial_edge.drain() + recovered_edge.drain()
)
assert len(edge_payloads) == 20 * len(expected_directions), edge_payloads
successful_calls: Final = tuple(call for call in chaos_calls if call.call_id in expected_success_ids)
for call in successful_calls:
payloads_for_call: Final = tuple(
payload for payload in edge_payloads if _policy_call_id_matches(payload, call.call_id)
)
assert tuple(sorted(_direction(payload) for payload in payloads_for_call)) == tuple(
sorted(expected_directions)
), (
call.call_id,
payloads_for_call,
)
assert all(
payload["texts"]
== ([call.prompt] if _direction(payload) == "request" else [results[call.index][1].text])
for payload in payloads_for_call
), payloads_for_call
rows: Final = _spend_rows_for_calls(
models,
tuple(
(
chaos_calls[index].model,
response_id,
chaos_calls[index].call_id,
)
for index, response_id in enumerate(candidate_ids)
),
)
for index, call in enumerate(chaos_calls):
matching_rows: Final = _spend_rows_matching_call(rows, call.model, call.call_id)
assert len(matching_rows) == 1, (call.call_id, matching_rows)
row: Final = matching_rows[0]
expected_status: Final = "guardrail_failed_to_respond" if 10 <= index < 20 else "success"
entries: Final = _guardrail_entries(row)
assert tuple(
(entry["guardrail_name"], entry["guardrail_mode"], entry["guardrail_status"]) for entry in entries
) == tuple((identity, "logging_only", expected_status) for _ in expected_directions), (index, entries)
@pytest.mark.timeout(180)
def test_K2_policy_edge_delay_does_not_delay_concurrent_callers(gateway: Gateway, tmp_path: Path) -> None:
identity: Final = f"logging-scope-k2-{uuid.uuid4().hex}"
marker: Final = uuid.uuid4().hex
def policy(_request: Request) -> Reply:
time.sleep(_EDGE_DELAY_SECONDS)
return Reply(body=b'{"action":"NONE"}')
with gateway.scenario() as scenario:
deployments: Final = _chaos_models(scenario, marker)
models: Final = tuple(deployment.model_name for deployment in deployments)
model_list: Final = _chaos_model_list(deployments)
chaos_calls: Final = _chaos_calls(deployments, marker)
expected_directions: Final = _directions_for_audit_leg(("request", "response"), "output")
control_config: Final = _chaos_control_configuration(tmp_path, identity, model_list)
with owned_proxy(gateway, tmp_path, {}, config=control_config, workers=2) as control_proxy:
def run_control(call: ChaosCall) -> Timed[CallerResult]:
return timed(
lambda: _call_client(
call.client_kind,
call.endpoint,
control_proxy,
call.model,
call.prompt,
call.stream,
f"{call.call_id}-control",
)
)
with ThreadPoolExecutor(max_workers=30) as control_pool:
timed_controls: Final = tuple(control_pool.map(run_control, chaos_calls))
controls: Final = tuple(control.value for control in timed_controls)
control_upstream: Final = _drain_upstream(gateway.upstream_url)
assert len(control_upstream) == 30, control_upstream
assert (
tuple(
sum(_json_contains_exact_string(observation["body"], call.prompt) for observation in control_upstream)
for call in chaos_calls
)
== (1,) * 30
), control_upstream
with wire_server(policy) as edge:
config: Final = _configuration(tmp_path, identity, edge.url, "output", model_list=model_list)
with owned_proxy(gateway, tmp_path, {}, config=config, workers=2) as candidate:
def run(call: ChaosCall) -> tuple[int, CallerResult, float]:
started: Final = time.monotonic()
result: Final = _call_client(
call.client_kind,
call.endpoint,
candidate,
call.model,
call.prompt,
call.stream,
call.call_id,
)
return call.index, result, time.monotonic() - started
with ThreadPoolExecutor(max_workers=30) as pool:
results: Final = tuple(pool.map(run, chaos_calls))
assert tuple(index for index, _, _ in results) == tuple(range(30)), results
assert all(result.status == controls[index].status for index, result, _ in results), results
assert all(result.text == controls[index].text for index, result, _ in results), results
assert_not_delayed_by(
(seconds for _, _, seconds in results),
control=(control.seconds for control in timed_controls),
injected_delay=_EDGE_DELAY_SECONDS,
)
eventually(
lambda: edge.received.qsize(),
lambda count: count == 30 * len(expected_directions),
seconds=30,
)
edge_calls: Final = edge.drain()
payloads: Final = tuple(JSON_OBJECT.validate_json(call.body) for call in edge_calls)
for call in chaos_calls:
payloads_for_call: Final = tuple(
payload for payload in payloads if _policy_call_id_matches(payload, call.call_id)
)
assert tuple(sorted(_direction(payload) for payload in payloads_for_call)) == tuple(
sorted(expected_directions)
), (
call,
payloads_for_call,
)
assert all(
payload["texts"]
== ([call.prompt] if _direction(payload) == "request" else [controls[call.index].text])
for payload in payloads_for_call
), payloads_for_call
response_ids: Final = tuple(result.response_id for _, result, _ in results)
assert len(set(response_ids)) == 30, response_ids
upstream: Final = _drain_upstream(gateway.upstream_url)
assert len(upstream) == 30, upstream
assert (
tuple(
sum(_json_contains_exact_string(observation["body"], call.prompt) for observation in upstream)
for call in chaos_calls
)
== (1,) * 30
), upstream
rows: Final = _spend_rows_for_calls(
models,
tuple(
(call.model, result.response_id, call.call_id)
for call, (_, result, _) in zip(chaos_calls, results)
),
)
for call, (_, result, _) in zip(chaos_calls, results):
matching_rows: Final = _spend_rows_matching_call(rows, call.model, call.call_id)
assert len(matching_rows) == 1, (call, result.response_id, matching_rows)
row: Final = matching_rows[0]
entries: Final = _guardrail_entries(row)
assert tuple(
(entry["guardrail_name"], entry["guardrail_mode"], entry["guardrail_status"])
for entry in entries
) == tuple((identity, "logging_only", "success") for _ in expected_directions), entries
@pytest.mark.timeout(180)
def test_K3_two_worker_sigkill_checks_post_kill_spend_rows(
gateway: Gateway,
tmp_path: Path,
record_property: Callable[[str, object], None],
) -> None:
identity: Final = f"logging-scope-k3-{uuid.uuid4().hex}"
marker: Final = uuid.uuid4().hex
scan_started: Final = threading.Event()
release_scans: Final = threading.Event()
def policy(_request: Request) -> Reply:
scan_started.set()
assert release_scans.wait(timeout=60), identity
return Reply(body=b'{"action":"NONE"}')
with gateway.scenario() as scenario:
deployments: Final = _chaos_models(scenario, marker)
models: Final = tuple(deployment.model_name for deployment in deployments)
model_list: Final = _chaos_model_list(deployments)
calls: Final = _chaos_calls(deployments, marker)
expected_directions: Final = _directions_for_audit_leg(("request", "response"), "output")
expected_entries: Final = tuple((identity, "logging_only", "success") for _ in expected_directions)
control_config: Final = _chaos_control_configuration(tmp_path, identity, model_list)
with owned_proxy(gateway, tmp_path, {}, config=control_config, workers=2) as control_proxy:
controls: Final = tuple(
_call_client(
call.client_kind,
call.endpoint,
control_proxy,
call.model,
call.prompt,
call.stream,
f"{call.call_id}-control",
)
for call in calls
)
assert len(_drain_upstream(gateway.upstream_url)) == 30
with wire_server(policy) as edge:
config: Final = _configuration(tmp_path, identity, edge.url, "output", model_list=model_list)
with owned_proxy_process(gateway, tmp_path, {}, config=config, workers=2) as owned:
candidate: Final = owned.gateway
workers: Final = tuple(sorted(eventually(owned.worker_pids, lambda pids: len(pids) == 2, seconds=30)))
def run(call: ChaosCall) -> tuple[int, CallerResult | None, str | None]:
try:
result: Final = _call_client(
call.client_kind,
call.endpoint,
candidate,
call.model,
call.prompt,
call.stream,
call.call_id,
)
return call.index, result, None
except (OpenAIAPIConnectionError, AnthropicAPIConnectionError, httpx.RemoteProtocolError) as error:
return call.index, None, str(error)
with owned.replacing_worker(workers[0]) as kill, ThreadPoolExecutor(max_workers=30) as pool:
futures: Final = tuple(pool.submit(run, call) for call in calls)
try:
assert eventually(lambda: scan_started.is_set(), bool, seconds=30)
eventually(lambda: edge.received.qsize(), lambda count: count >= 5, seconds=30)
kill()
finally:
release_scans.set()
outcomes: Final = tuple(future.result(timeout=90) for future in futures)
assert owned.process.poll() is None, "Proxy supervisor exited after a worker was killed"
successful: Final = tuple(
(calls[index], result) for index, result, error in outcomes if result is not None and error is None
)
assert successful, outcomes
assert all(
result.status == controls[call.index].status and result.text == controls[call.index].text
for call, result in successful
), successful
pre_kill_expected: Final = tuple(
(call.model, result.response_id, call.call_id) for call, result in successful
)
pre_kill_rows: Final = _spend_rows_for_calls(
models,
pre_kill_expected,
tolerate_missing=True,
)
pre_kill_rows_by_call: Final = tuple(
(call, _spend_rows_matching_call(pre_kill_rows, call.model, call.call_id)) for call in calls
)
assert all(len(rows) <= 1 for _, rows in pre_kill_rows_by_call), pre_kill_rows_by_call
pre_kill_missing_rows: Final = sum(not rows for _, rows in pre_kill_rows_by_call)
record_property("k3_pre_kill_missing_spend_rows", pre_kill_missing_rows)
for call, matching_rows in pre_kill_rows_by_call:
if not matching_rows:
continue
entries: Final = _guardrail_entries(matching_rows[0])
assert tuple(
sorted(
(
entry["guardrail_name"],
entry["guardrail_mode"],
entry["guardrail_status"],
)
for entry in entries
)
) == tuple(sorted(expected_entries)), (call, entries)
post_kill_templates: Final = calls[:6]
post_kill_calls: Final = tuple(
ChaosCall(
index=call.index,
endpoint=call.endpoint,
client_kind=call.client_kind,
model=call.model,
stream=call.stream,
prompt=f"synthetic K post-kill burst {marker}-{call.index}",
call_id=f"{marker}-k-post-kill-{call.index}",
)
for call in post_kill_templates
)
def run_post_kill(call: ChaosCall) -> CallerResult:
return _call_client(
call.client_kind,
call.endpoint,
candidate,
call.model,
call.prompt,
call.stream,
call.call_id,
)
with ThreadPoolExecutor(max_workers=len(post_kill_calls)) as pool:
post_kill_futures: Final = tuple(pool.submit(run_post_kill, call) for call in post_kill_calls)
post_kill_results: Final = tuple(future.result(timeout=90) for future in post_kill_futures)
assert all(
result.status == controls[call.index].status and result.text == controls[call.index].text
for call, result in zip(post_kill_calls, post_kill_results)
), post_kill_results
served: Final = successful + tuple(zip(post_kill_calls, post_kill_results))
response_ids: Final = tuple(result.response_id for _, result in served)
assert len(set(response_ids)) == len(response_ids), response_ids
served_calls: Final = tuple(call for call, _ in served)
requested_call_ids: Final = frozenset(call.call_id for call in calls + post_kill_calls)
upstream: Final = _drain_upstream(gateway.upstream_url)
assert all(
sum(_json_contains_exact_string(observation["body"], call.prompt) for observation in upstream) == 1
for call in served_calls
), upstream
def accumulate_policy_payloads(
collected: tuple[dict[str, JsonValue], ...], _: None
) -> tuple[dict[str, JsonValue], ...]:
return collected + tuple(JSON_OBJECT.validate_json(call.body) for call in edge.drain())
payload_batches: Final = accumulate(repeat(None), accumulate_policy_payloads, initial=())
def has_expected_post_kill_scans(collected: tuple[dict[str, JsonValue], ...], call: ChaosCall) -> bool:
payloads_for_call: Final = tuple(
payload for payload in collected if _policy_call_id_matches(payload, call.call_id)
)
return all(
sum(_direction(payload) == direction for payload in payloads_for_call)
>= expected_directions.count(direction)
for direction in expected_directions
)
payloads: Final = eventually(
lambda: next(payload_batches),
lambda collected: all(has_expected_post_kill_scans(collected, call) for call in post_kill_calls),
seconds=30,
)
assert all(
any(_policy_call_id_matches(payload, call_id) for call_id in requested_call_ids)
and _direction(payload) in expected_directions
for payload in payloads
), payloads
for call, result in zip(post_kill_calls, post_kill_results):
payloads_for_call: Final = tuple(
payload for payload in payloads if _policy_call_id_matches(payload, call.call_id)
)
assert tuple(sorted(_direction(payload) for payload in payloads_for_call)) == tuple(
sorted(expected_directions)
), (call, payloads_for_call)
assert all(
payload["texts"]
== ([call.prompt] if _direction(payload) == "request" else [controls[call.index].text])
for payload in payloads_for_call
), payloads_for_call
post_kill_expected: Final = tuple(
(call.model, result.response_id, call.call_id)
for call, result in zip(post_kill_calls, post_kill_results)
)
rows: Final = _spend_rows_for_calls(
models,
post_kill_expected,
tolerate_missing=True,
)
all_candidate_calls: Final = calls + post_kill_calls
rows_by_call: Final = tuple(
(call, _spend_rows_matching_call(rows, call.model, call.call_id)) for call in all_candidate_calls
)
assert all(len(matching_rows) <= 1 for _, matching_rows in rows_by_call), rows_by_call
for call, matching_rows in rows_by_call:
if not matching_rows:
continue
entries: Final = _guardrail_entries(matching_rows[0])
assert tuple(
sorted(
(
entry["guardrail_name"],
entry["guardrail_mode"],
entry["guardrail_status"],
)
for entry in entries
)
) == tuple(sorted(expected_entries)), (call, entries)
for call, result in successful:
matching_rows: Final = _spend_rows_matching_call(rows, call.model, call.call_id)
if matching_rows:
_assert_response_id(
call.endpoint,
str(matching_rows[0]["request_id"]),
result.response_id,
marker if call.endpoint == "responses" else call.call_id,
)
for call, result in zip(post_kill_calls, post_kill_results):
matching_rows: Final = _spend_rows_matching_call(rows, call.model, call.call_id)
assert len(matching_rows) == 1, (result.response_id, matching_rows)
_assert_response_id(
call.endpoint,
str(matching_rows[0]["request_id"]),
result.response_id,
marker if call.endpoint == "responses" else call.call_id,
)
@pytest.mark.timeout(180)
def test_K4_proxy_restart_after_fifteen_responses_records_lost_ids(
gateway: Gateway,
tmp_path: Path,
record_property: Callable[[str, object], None],
) -> None:
identity: Final = f"logging-scope-k4-{uuid.uuid4().hex}"
marker: Final = uuid.uuid4().hex
def policy(_request: Request) -> Reply:
return Reply(body=b'{"action":"NONE"}')
with gateway.scenario() as scenario:
deployments: Final = _chaos_models(scenario, marker)
models: Final = tuple(deployment.model_name for deployment in deployments)
model_list: Final = _chaos_model_list(deployments)
calls: Final = _chaos_calls(deployments, marker)
expected_directions: Final = _directions_for_audit_leg(("request", "response"), "output")
control_config: Final = _chaos_control_configuration(tmp_path, identity, model_list)
with owned_proxy(gateway, tmp_path, {}, config=control_config, workers=2) as control_proxy:
controls: Final = tuple(
_call_client(
call.client_kind,
call.endpoint,
control_proxy,
call.model,
call.prompt,
call.stream,
f"{call.call_id}-control",
)
for call in calls
)
control_upstream: Final = _drain_upstream(gateway.upstream_url)
assert len(control_upstream) == 30, control_upstream
assert (
tuple(
sum(_json_contains_exact_string(observation["body"], call.prompt) for observation in control_upstream)
for call in calls
)
== (1,) * 30
), control_upstream
with wire_server(policy) as edge:
config: Final = _configuration(tmp_path, identity, edge.url, "output", model_list=model_list)
restart_gate: Final = threading.Event()
second_wave_ready: Final = threading.Event()
second_wave_barrier: Final = threading.Barrier(15, action=second_wave_ready.set)
restarted_gateways: Final[SimpleQueue[Gateway]] = SimpleQueue()
def gateway_for_call(call: ChaosCall, first_gateway: Gateway) -> Gateway:
if call.index < 15:
return first_gateway
second_wave_barrier.wait(timeout=90)
assert restart_gate.wait(timeout=90)
return restarted_gateways.get()
def run(call: ChaosCall, first_gateway: Gateway) -> tuple[int, CallerResult]:
candidate: Final = gateway_for_call(call, first_gateway)
result: Final = _call_client(
call.client_kind,
call.endpoint,
candidate,
call.model,
call.prompt,
call.stream,
call.call_id,
)
return call.index, result
with ThreadPoolExecutor(max_workers=30) as pool:
with owned_proxy_process(gateway, tmp_path, {}, config=config, workers=2) as first_proxy:
first_proxy_port: Final = first_proxy.gateway.client.base_url.port
assert first_proxy_port is not None
futures: Final = tuple(pool.submit(run, call, first_proxy.gateway) for call in calls)
first_results: Final = tuple(futures[index].result(timeout=90)[1] for index in range(15))
assert all(
result.status == controls[call.index].status and result.text == controls[call.index].text
for call, result in zip(calls[:15], first_results)
), first_results
assert eventually(lambda: second_wave_ready.is_set(), bool, seconds=30)
eventually(
lambda: edge.received.qsize(),
lambda count: count == 15 * len(expected_directions),
seconds=30,
)
first_wave_expected: Final = tuple(
(call.model, result.response_id, call.call_id)
for call, result in zip(calls[:15], first_results)
)
first_wave_rows: Final = _spend_rows_for_calls(
models,
first_wave_expected,
tolerate_missing=True,
)
assert all(
len(_spend_rows_matching_call(first_wave_rows, model, call_id)) <= 1
for model, _, call_id in first_wave_expected
), first_wave_rows
first_wave_present_response_ids: Final = frozenset(
response_id
for model, response_id, call_id in first_wave_expected
if len(_spend_rows_matching_call(first_wave_rows, model, call_id)) == 1
)
first_wave_lost_response_ids: Final = (
frozenset(response_id for _, response_id, _ in first_wave_expected)
- first_wave_present_response_ids
)
record_property(
"K4_PRE_RESTART_LOST_RESPONSE_IDS",
tuple(sorted(first_wave_lost_response_ids)),
)
record_property(
f"K4_PRE_RESTART_LOST_ROW_COUNT_{'base' if _is_base_audit_leg() else 'head'}",
len(first_wave_lost_response_ids),
)
assert first_proxy.process.poll() is not None, first_proxy.process.pid
eventually(
lambda: tuple(
connection
for connection in psutil.net_connections(kind="tcp")
if connection.status == psutil.CONN_LISTEN and connection.laddr.port == first_proxy_port
),
lambda listeners: not listeners,
seconds=30,
)
with owned_proxy_process(gateway, tmp_path, {}, config=config, workers=2) as restarted_proxy:
for _ in range(15):
restarted_gateways.put(restarted_proxy.gateway)
restart_gate.set()
second_results: Final = tuple(futures[index].result(timeout=90)[1] for index in range(15, 30))
assert all(
result.status == controls[call.index].status and result.text == controls[call.index].text
for call, result in zip(calls[15:], second_results)
), second_results
eventually(
lambda: edge.received.qsize(),
lambda count: count == 30 * len(expected_directions),
seconds=30,
)
results: Final = first_results + second_results
expected_response_ids: Final = frozenset(result.response_id for result in results)
assert len(expected_response_ids) == 30, results
upstream: Final = _drain_upstream(gateway.upstream_url)
assert len(upstream) == 30, upstream
assert (
tuple(
sum(_json_contains_exact_string(observation["body"], call.prompt) for observation in upstream)
for call in calls
)
== (1,) * 30
), upstream
edge_payloads: Final = tuple(JSON_OBJECT.validate_json(call.body) for call in edge.drain())
assert len(edge_payloads) == 30 * len(expected_directions), edge_payloads
for call, result in zip(calls, results):
payloads_for_call: Final = tuple(
payload for payload in edge_payloads if _policy_call_id_matches(payload, call.call_id)
)
assert tuple(sorted(_direction(payload) for payload in payloads_for_call)) == tuple(
sorted(expected_directions)
), (
call,
payloads_for_call,
)
assert all(
payload["texts"] == ([call.prompt] if _direction(payload) == "request" else [result.text])
for payload in payloads_for_call
), payloads_for_call
post_restart_expected: Final = tuple(
(call.model, result.response_id, call.call_id) for call, result in zip(calls[15:], second_results)
)
rows: Final = _spend_rows_for_calls(
models,
post_restart_expected,
tolerate_missing=True,
)
record_property("K4_RESPONSE_IDS", tuple(sorted(expected_response_ids)))
for call, result in zip(calls, results):
matching_rows: Final = _spend_rows_matching_call(rows, call.model, call.call_id)
assert len(matching_rows) <= 1, (result.response_id, matching_rows)
if call.index >= 15:
assert len(matching_rows) == 1, (call.call_id, result.response_id, matching_rows)
if matching_rows:
entries: Final = _guardrail_entries(matching_rows[0])
assert tuple(
(entry["guardrail_name"], entry["guardrail_mode"], entry["guardrail_status"])
for entry in entries
) == tuple((identity, "logging_only", "success") for _ in expected_directions), (
call.call_id,
entries,
)