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82 lines
2.5 KiB
Python
82 lines
2.5 KiB
Python
# Copyright (c) 2024 Microsoft Corporation.
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# Licensed under the MIT License
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"""Request count middleware."""
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from typing import TYPE_CHECKING, Any
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if TYPE_CHECKING:
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from graphrag_llm.types import (
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AsyncLLMFunction,
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LLMFunction,
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Metrics,
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)
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def with_request_count(
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*,
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sync_middleware: "LLMFunction",
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async_middleware: "AsyncLLMFunction",
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) -> tuple[
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"LLMFunction",
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"AsyncLLMFunction",
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]:
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"""Wrap model functions with request count middleware.
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This is the first step in the middleware pipeline.
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It counts how many requests were made, how many succeeded, and how many failed
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Args
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----
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sync_middleware: LLMFunction
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The synchronous model function to wrap.
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Either a completion function or an embedding function.
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async_middleware: AsyncLLMFunction
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The asynchronous model function to wrap.
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Either a completion function or an embedding function.
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Returns
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-------
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tuple[LLMFunction, AsyncLLMFunction]
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The synchronous and asynchronous model functions wrapped with request count middleware.
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"""
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def _request_count_middleware(
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**kwargs: Any,
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):
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metrics: Metrics | None = kwargs.get("metrics")
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if metrics is not None:
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metrics["attempted_request_count"] = 1
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metrics["successful_response_count"] = 0
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metrics["failed_response_count"] = 0
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try:
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result = sync_middleware(**kwargs)
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if metrics is not None:
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metrics["successful_response_count"] = 1
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return result # noqa: TRY300
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except Exception:
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if metrics is not None:
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metrics["failed_response_count"] = 1
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raise
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async def _request_count_middleware_async(
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**kwargs: Any,
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):
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metrics: Metrics | None = kwargs.get("metrics")
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if metrics is not None:
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metrics["attempted_request_count"] = 1
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metrics["successful_response_count"] = 0
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metrics["failed_response_count"] = 0
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try:
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result = await async_middleware(**kwargs)
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if metrics is not None:
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metrics["successful_response_count"] = 1
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return result # noqa: TRY300
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except Exception:
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if metrics is not None:
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metrics["failed_response_count"] = 1
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raise
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return (_request_count_middleware, _request_count_middleware_async) # type: ignore
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