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Aether/tests/api/handlers/base/test_cli_monitor_mixin.py

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from __future__ import annotations
import asyncio
from collections.abc import AsyncGenerator
import pytest
from src.api.handlers.base.cli_monitor_mixin import CliMonitorMixin
from src.api.handlers.base.stream_context import StreamContext
class _DummyMonitor(CliMonitorMixin):
pass
class _RequestStub:
def __init__(self, responses: list[bool | Exception]):
self._responses = responses
async def is_disconnected(self) -> bool:
if self._responses:
value = self._responses.pop(0)
else:
value = False
if isinstance(value, Exception):
raise value
return value
async def _cancel_immediately() -> AsyncGenerator[bytes, None]:
if False:
yield b""
raise asyncio.CancelledError()
async def _yield_once_then_cancel(ctx: StreamContext) -> AsyncGenerator[bytes, None]:
ctx.append_text("partial output")
yield b"data: chunk\n\n"
raise asyncio.CancelledError()
feat: 流式空闲超时、健康监控查询优化、限流桶内存上限与维护清理修复 Close #233 Co-authored-by: AAEE86 <ppk0227@hotmail.com> - cli_monitor_mixin: 引入 STREAM_IDLE_TIMEOUT_SECONDS(可通过环境变量配置), 流传输开始后若超出空闲窗口无新 chunk 则提前取消并返回 504,避免长时间挂起 - stream_context: 新增 managed_recorded_bodies 上下文管理器,确保 chunks 在 telemetry 完成后及时释放;stream_telemetry 使用该接口统一管理 response body 构建 - health endpoint: 将状态聚合改为 GROUP BY 直接统计,事件列表按 api_format 单独查询,避免单次 limit 拉取大量记录导致的遗漏与性能问题;同时过滤不活跃 provider/endpoint,与公开健康接口保持一致 - endpoint health service: 修正时间线数据按 endpoint_id 而非 key_id 聚合 - token_bucket: 引入 max_buckets/bucket_expiry 上限与定时清理,防止内存无限增长; 修复 refill_rate=0 时 get_reset_time 除零异常;新增 _is_unlimited_rate_limit 判断 - maintenance_scheduler: 调整清理顺序(先删整行再按窗口清理),新增 newer_than 边界参数,避免同一行在同一轮中被重复改写 - sync_execute: 新增 create_pending_usage 开关,允许已预创建记录的调用方跳过重复创建 - quota_reader / provider_ops balance: 小幅修复与健壮性提升 - Dockerfile: 添加 MALLOC_ARENA_MAX=2 环境变量以降低 gunicorn worker RSS - 补充相关测试覆盖
2026-03-18 23:38:26 +08:00
async def _yield_once_then_hang(ctx: StreamContext) -> AsyncGenerator[bytes, None]:
ctx.append_text("partial output")
yield b"data: chunk\n\n"
await asyncio.sleep(3600)
async def _yield_after_delay_then_complete() -> AsyncGenerator[bytes, None]:
await asyncio.sleep(0.25)
yield b"data: first\n\n"
@pytest.mark.asyncio
async def test_create_monitored_stream_marks_client_disconnected_when_confirmed() -> None:
monitor = _DummyMonitor()
monitor.CANCEL_DISCONNECT_RETRY_DELAYS_SECONDS = ()
ctx = StreamContext(model="test-model", api_format="openai:cli", request_id="req-client")
request = _RequestStub([True])
monitored = monitor._create_monitored_stream(ctx, _cancel_immediately(), request)
with pytest.raises(asyncio.CancelledError):
async for _ in monitored:
pass
assert ctx.status_code == 499
assert ctx.error_message == "client_disconnected"
assert "cancel_origin=client_disconnected" in (ctx.upstream_response or "")
@pytest.mark.asyncio
async def test_create_monitored_stream_marks_server_cancelled_when_confirmed_connected() -> None:
monitor = _DummyMonitor()
monitor.CANCEL_DISCONNECT_RETRY_DELAYS_SECONDS = ()
ctx = StreamContext(model="test-model", api_format="openai:cli", request_id="req-server")
request = _RequestStub([False])
monitored = monitor._create_monitored_stream(ctx, _cancel_immediately(), request)
with pytest.raises(asyncio.CancelledError):
async for _ in monitored:
pass
assert ctx.status_code == 503
assert ctx.error_message == "server_cancelled"
assert "cancel_origin=server_cancelled" in (ctx.upstream_response or "")
@pytest.mark.asyncio
async def test_create_monitored_stream_marks_cancelled_unknown_when_disconnect_check_uncertain() -> (
None
):
monitor = _DummyMonitor()
monitor.CANCEL_DISCONNECT_RETRY_DELAYS_SECONDS = ()
ctx = StreamContext(model="test-model", api_format="openai:cli", request_id="req-unknown")
request = _RequestStub([asyncio.TimeoutError()])
monitored = monitor._create_monitored_stream(ctx, _cancel_immediately(), request)
with pytest.raises(asyncio.CancelledError):
async for _ in monitored:
pass
assert ctx.status_code == 503
assert ctx.error_message == "cancelled_unknown"
assert "cancel_origin=cancelled_unknown" in (ctx.upstream_response or "")
@pytest.mark.asyncio
async def test_create_monitored_stream_estimates_output_tokens_before_unknown_cancel_log() -> None:
monitor = _DummyMonitor()
monitor.CANCEL_DISCONNECT_RETRY_DELAYS_SECONDS = ()
ctx = StreamContext(model="test-model", api_format="openai:cli", request_id="req-estimate")
request = _RequestStub([asyncio.TimeoutError()])
monitored = monitor._create_monitored_stream(ctx, _yield_once_then_cancel(ctx), request)
with pytest.raises(asyncio.CancelledError):
async for _ in monitored:
pass
expected_output_tokens = max(1, len("partial output") // 4)
assert ctx.status_code == 503
assert ctx.error_message == "cancelled_unknown"
assert ctx.output_tokens == expected_output_tokens
assert f"output_tokens={expected_output_tokens}" in (ctx.upstream_response or "")
feat: 流式空闲超时、健康监控查询优化、限流桶内存上限与维护清理修复 Close #233 Co-authored-by: AAEE86 <ppk0227@hotmail.com> - cli_monitor_mixin: 引入 STREAM_IDLE_TIMEOUT_SECONDS(可通过环境变量配置), 流传输开始后若超出空闲窗口无新 chunk 则提前取消并返回 504,避免长时间挂起 - stream_context: 新增 managed_recorded_bodies 上下文管理器,确保 chunks 在 telemetry 完成后及时释放;stream_telemetry 使用该接口统一管理 response body 构建 - health endpoint: 将状态聚合改为 GROUP BY 直接统计,事件列表按 api_format 单独查询,避免单次 limit 拉取大量记录导致的遗漏与性能问题;同时过滤不活跃 provider/endpoint,与公开健康接口保持一致 - endpoint health service: 修正时间线数据按 endpoint_id 而非 key_id 聚合 - token_bucket: 引入 max_buckets/bucket_expiry 上限与定时清理,防止内存无限增长; 修复 refill_rate=0 时 get_reset_time 除零异常;新增 _is_unlimited_rate_limit 判断 - maintenance_scheduler: 调整清理顺序(先删整行再按窗口清理),新增 newer_than 边界参数,避免同一行在同一轮中被重复改写 - sync_execute: 新增 create_pending_usage 开关,允许已预创建记录的调用方跳过重复创建 - quota_reader / provider_ops balance: 小幅修复与健壮性提升 - Dockerfile: 添加 MALLOC_ARENA_MAX=2 环境变量以降低 gunicorn worker RSS - 补充相关测试覆盖
2026-03-18 23:38:26 +08:00
@pytest.mark.asyncio
async def test_create_monitored_stream_marks_idle_timeout_before_worker_timeout() -> None:
monitor = _DummyMonitor()
monitor.CANCEL_DISCONNECT_RETRY_DELAYS_SECONDS = ()
monitor.STREAM_IDLE_TIMEOUT_SECONDS = 1.0
ctx = StreamContext(model="test-model", api_format="openai:cli", request_id="req-idle-timeout")
monitored = monitor._create_monitored_stream(ctx, _yield_once_then_hang(ctx), None)
with pytest.raises(asyncio.CancelledError):
async for _ in monitored:
pass
expected_output_tokens = max(1, len("partial output") // 4)
assert ctx.status_code == 504
assert ctx.error_message == "stream_idle_timeout"
assert ctx.output_tokens == expected_output_tokens
assert "cancel_origin=stream_idle_timeout" in (ctx.upstream_response or "")
@pytest.mark.asyncio
async def test_create_monitored_stream_does_not_idle_timeout_before_first_chunk() -> None:
monitor = _DummyMonitor()
monitor.CANCEL_DISCONNECT_RETRY_DELAYS_SECONDS = ()
monitor.STREAM_IDLE_TIMEOUT_SECONDS = 0.05
ctx = StreamContext(model="test-model", api_format="openai:cli", request_id="req-first-chunk")
monitored = monitor._create_monitored_stream(ctx, _yield_after_delay_then_complete(), None)
chunks = [chunk async for chunk in monitored]
assert chunks == [b"data: first\n\n"]
assert ctx.status_code == 200
assert ctx.error_message is None