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chore: import upstream snapshot with attribution
2026-07-13 12:37:31 +08:00

74 lines
2.1 KiB
Python

# Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Request count middleware."""
import logging
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from graphrag_llm.types import (
AsyncLLMFunction,
LLMFunction,
Metrics,
)
logger = logging.getLogger(__name__)
def with_logging(
*,
sync_middleware: "LLMFunction",
async_middleware: "AsyncLLMFunction",
) -> tuple[
"LLMFunction",
"AsyncLLMFunction",
]:
"""Wrap model functions with logging middleware.
Args
----
sync_middleware: LLMFunction
The synchronous model function to wrap.
Either a completion function or an embedding function.
async_middleware: AsyncLLMFunction
The asynchronous model function to wrap.
Either a completion function or an embedding function.
Returns
-------
tuple[LLMFunction, AsyncLLMFunction]
The synchronous and asynchronous model functions wrapped with request count middleware.
"""
def _request_count_middleware(
**kwargs: Any,
):
metrics: Metrics | None = kwargs.get("metrics")
try:
return sync_middleware(**kwargs)
except Exception as e:
retries = metrics.get("retries", None) if metrics else None
retry_str = f" after {retries} retries" if retries else ""
logger.exception(
f"Request failed{retry_str} with exception={e}", # noqa: G004, TRY401
)
raise
async def _request_count_middleware_async(
**kwargs: Any,
):
metrics: Metrics | None = kwargs.get("metrics")
try:
return await async_middleware(**kwargs)
except Exception as e:
retries = metrics.get("retries", None) if metrics else None
retry_str = f" after {retries} retries" if retries else ""
logger.exception(
f"Async request failed{retry_str} with exception={e}", # noqa: G004, TRY401
)
raise
return (_request_count_middleware, _request_count_middleware_async) # type: ignore