googleapis / googleapis/google-cloud-python

auth: AsyncAuthorizedSession.request leaks response across retry attempts

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auth priority: p2
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描述

In `google.auth.aio.transport.sessions.AsyncAuthorizedSession.request` (`packages/google-auth/google/auth/aio/transport/sessions.py:339-347`), the retry loop reassigns `response = await with_timeout(...)` across retry attempts without closing the previous response.

If the response payload hasn't reached EOF before the next retry fires (e.g., with chunked or streaming responses), `aiohttp` keeps the socket checked out in `connector._acquired`. The transport protocol's internal EOF callback holds a bound reference to `ClientResponse._response_eof`, which prevents Python's garbage collector from cleaning up the orphaned response while the connection is waiting for data. Under concurrency, multiple requests retrying against a degraded endpoint can quickly burn through the connector pool (`limit=100`) and block other outgoing requests across the session.

### Proposed Fix

Close any previous response before kicking off the next retry attempt, matching the pattern already used in `sessions.py:L501-L518`:

```python
response = None
async for _ in retries:
if response is not None and hasattr(response, "close"):
try:
res = response.close()
if inspect.isawaitable(res):
await res
except Exception:
pass

response = await with_timeout(
self._auth_request(
url, method, data, request_headers, actual_timeout, **kwargs
)
)

if response.status_code not in transport.DEFAULT_RETRYABLE_STATUS_CODES:
break
```

Unit tests should check that when a retryable status code (like a 503) is followed by a 200, `close()` is awaited on the initial response before the retry runs.

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调研方向

Start in packages/google-auth/google/auth/aio/transport/sessions.py at AsyncAuthorizedSession.request, then compare its retry loop with the cleanup pattern at lines 501-518. Add unit coverage for a retryable 503 followed by a 200, verifying that the initial response's close() is awaited before the retry proceeds.

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评估

技术栈
python
领域
networking
Issue 类型
缺陷
难度
2/5
预计耗时
1-3 小时
活跃度
活跃
描述清晰度
描述清楚
新手友好度
88/100

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