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mcp-nextcloud/nextcloud_mcp_server/providers/_retry.py
T
Chris CoutinhoandClaude Opus 4.8 258ee96f4c fix(vector): retry transient embed errors so a pod rollover drops 0 docs
From card 309 (OHR-Bench smoke-test triage): during a backend-pod rollover the
embedding endpoint was briefly unreachable, and openai.APIConnectionError /
ConnectError propagated unretried (the provider only retried 429). Documents
exhausted the 3 in-process retries and were dropped for that scan cycle.

Broaden the provider-level retry to the transient set -- APIConnectionError,
APITimeoutError, 429, and 5xx -- on the existing exponential backoff (2s->60s,
5 attempts), so a few seconds of retry rides through the rollover. Permanent
4xx (auth, bad request) still re-raise immediately. Generalize the shared
_retry helper (retry_on_rate_limit -> retry_on_transient, predicate renamed to
should_retry, accurate log label) with a back-compat alias; Mistral gets 429+5xx
for parity. The production gateway path inherits this via GatewayProvider, which
delegates to the decorated OpenAIProvider methods.

Add astrolabe_vector_ingest_dropped_total{reason}, incremented when a document
exhausts retries, classified (connection|timeout|rate_limit|server|qdrant|other)
by _drop_reason so the embed-drop rate is alertable per cause. Dropped docs are
NOT marked failed, so the next full scan re-picks them (re-queue via scan loop).

Refs: Deck board 12 card 309 (AC #1 no permanently-dropped docs; embed-drop
metric for AC #5).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-11 05:22:31 +02:00

93 lines
3.4 KiB
Python

"""Shared transient-error retry helper for provider modules.
OpenAI and Mistral retry transient failures (429 rate limits, plus connection
drops / timeouts / 5xx for the embedding path) on the same exponential-backoff
curve; extracting the loop here keeps the two provider modules thin and lets
future providers (Bedrock throttling, etc.) reuse the same primitive. The
``should_retry`` predicate decides which caught exceptions are transient.
"""
from __future__ import annotations
import logging
from collections.abc import Awaitable, Callable
from functools import wraps
from typing import Any, TypeVar
import anyio
logger = logging.getLogger(__name__)
MAX_RETRIES = 5
INITIAL_RETRY_DELAY = 2.0
MAX_RETRY_DELAY = 60.0
T = TypeVar("T")
def retry_on_transient(
exception_type: type[BaseException] | tuple[type[BaseException], ...],
should_retry: Callable[[BaseException], bool] = lambda _exc: True,
*,
provider_name: str = "provider",
label: str = "rate limit",
) -> Callable[[Callable[..., Awaitable[T]]], Callable[..., Awaitable[T]]]:
"""Build a decorator that retries transient exceptions with backoff.
Args:
exception_type: Catch this exception class (or tuple of classes), e.g.
``openai.APIError`` or ``mistralai.client.errors.SDKError``.
should_retry: Predicate that decides whether a caught exception is
transient (and so retryable) vs. a permanent error of the same
class. Defaults to "always True" — appropriate when
``exception_type`` is already transient-specific (e.g. a 429 class).
provider_name: Used in log messages so operators can tell which
provider exhausted retries.
label: Short noun for the log message ("rate limit", "transient error")
so the line accurately names what was retried.
"""
def decorator(func: Callable[..., Awaitable[T]]) -> Callable[..., Awaitable[T]]:
@wraps(func)
async def wrapper(*args: Any, **kwargs: Any) -> T:
retry_delay = INITIAL_RETRY_DELAY
last_error: BaseException | None = None
for attempt in range(1, MAX_RETRIES + 1):
try:
return await func(*args, **kwargs)
except exception_type as e:
if not should_retry(e):
raise
last_error = e
if attempt < MAX_RETRIES:
logger.warning(
"%s %s (attempt %d/%d): %r; retrying in %.1fs...",
provider_name,
label,
attempt,
MAX_RETRIES,
e,
retry_delay,
)
await anyio.sleep(retry_delay)
retry_delay = min(retry_delay * 2, MAX_RETRY_DELAY)
logger.error(
"%s %s not resolved after %d attempts",
provider_name,
label,
MAX_RETRIES,
)
if last_error is None: # pragma: no cover — loop above always sets this
raise RuntimeError("retry loop exited without capturing an error")
raise last_error
return wrapper
return decorator
# Back-compat alias: the helper was originally rate-limit-specific.
retry_on_rate_limit = retry_on_transient