mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-06-29 23:41:12 +08:00
f0cb7a544b
### What problem does this PR solve?
1. Break huge function into smaller pieces
2. Add unit test for the smaller pieces function
3. Layer-ed design
a. infra layer - task_context.py, recording_context.py,
write_operation_interceptor.py, ...
b. service layer - *_service.py
c. business layer - task_handler.py
4. Default behavior: use "refactor-ed version" - can switch to original
version by change env variable
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring
- [x] Performance Improvement
---------
Co-authored-by: Liu An <asiro@qq.com>
Co-authored-by: Zhichang Yu <yuzhichang@gmail.com>
86 lines
2.8 KiB
Python
86 lines
2.8 KiB
Python
#
|
|
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
#
|
|
import functools
|
|
import inspect
|
|
import logging
|
|
import os
|
|
import time
|
|
|
|
|
|
def singleton(cls, *args, **kw):
|
|
instances = {}
|
|
|
|
def _singleton():
|
|
key = str(cls) + str(os.getpid())
|
|
if key not in instances:
|
|
instances[key] = cls(*args, **kw)
|
|
return instances[key]
|
|
|
|
return _singleton
|
|
|
|
|
|
def timing(func=None, *, name=None, context=None):
|
|
"""Decorator that records function execution time.
|
|
|
|
Usage:
|
|
@timing
|
|
async def my_func(): ...
|
|
|
|
@timing(name="custom_name")
|
|
def my_func(): ...
|
|
|
|
@timing(context=recording_ctx)
|
|
async def my_func(): ...
|
|
|
|
Args:
|
|
func: The function to decorate (auto-passed when used as @timing)
|
|
name: Custom name for the timing record, defaults to function name
|
|
context: A RecordingContext-like object to record timing data into.
|
|
If not provided, will try to use global recording_context from task_executor.
|
|
Timing data will be recorded as "{name}_time".
|
|
"""
|
|
if func is None:
|
|
return functools.partial(timing, name=name, context=context)
|
|
|
|
func_name = name or func.__name__
|
|
log = logging.getLogger(__name__)
|
|
|
|
if inspect.iscoroutinefunction(func):
|
|
@functools.wraps(func)
|
|
async def async_wrapper(*args, **kwargs):
|
|
start = time.perf_counter()
|
|
try:
|
|
result = await func(*args, **kwargs)
|
|
return result
|
|
finally:
|
|
elapsed = time.perf_counter() - start
|
|
log.debug(f"[TIMING] {func_name} took {elapsed:.3f}s")
|
|
if context is not None:
|
|
context.record(f"{func_name}_time", elapsed)
|
|
return async_wrapper
|
|
else:
|
|
@functools.wraps(func)
|
|
def sync_wrapper(*args, **kwargs):
|
|
start = time.perf_counter()
|
|
try:
|
|
result = func(*args, **kwargs)
|
|
return result
|
|
finally:
|
|
elapsed = time.perf_counter() - start
|
|
log.debug(f"[TIMING] {func_name} took {elapsed:.3f}s")
|
|
if context is not None:
|
|
context.record(f"{func_name}_time", elapsed)
|
|
return sync_wrapper |