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81 lines
3.4 KiB
81 lines
3.4 KiB
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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# project: 3月
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# author: NinEveN
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# date: 2022/3/15
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import logging
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import time
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from django.core.cache import cache
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from common.cache.storage import PendingStateCache
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logger = logging.getLogger(__name__)
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def set_pending_cache(unique_key, cache_data, cache_obj, timeout):
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if unique_key in cache_data:
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cache_data.remove(unique_key)
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logger.warning(f'return unique_key:{unique_key} cache_data: {cache_data} ')
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cache_obj.set_storage_cache(cache_data, timeout)
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def get_pending_result(func, expect_func, loop_count=10, sleep_time=3, unique_key='default_key',
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run_func_count=2, pop_first=True, *args, **kwargs):
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"""
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:param func: 将要运行的函数对象
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:param expect_func: 期待的运行结果函数
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:param loop_count: 执行次数
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:param sleep_time: 执行循环等待时间
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:param unique_key: 11请求唯一标识，用与函数并发请求
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:param run_func_count: 11函数并发请求数，超过该次数，会自动移除多余等待
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:param pop_first: 11超出，是否自动移除最老的请求，True: 移除最老的， False: 移除最新的
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:param args:
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:param kwargs:
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:return:
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"""
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locker_key = kwargs.pop('locker_key')
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cache_timeout = loop_count * sleep_time * (run_func_count + 1)
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cache_obj = PendingStateCache(locker_key)
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cache_data = cache_obj.get_storage_cache()
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is_pop = False
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if cache_data and isinstance(cache_data, list):
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if unique_key not in cache_data:
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cache_data.append(unique_key)
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if len(cache_data) > run_func_count and len(cache_data) > 0:
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is_pop = True
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if pop_first:
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cache_data.pop(0)
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else:
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cache_data.pop()
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else:
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cache_data = [unique_key]
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cache_obj.set_storage_cache(cache_data, cache_timeout)
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if not pop_first and len(cache_data) == run_func_count and is_pop:
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logger.warning(f'unique_key:{unique_key} cache_data: {cache_data} ')
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return True, {'err_msg': '请求重复,请稍后再试'}
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try:
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with cache.lock(f"get_pending_result_{locker_key}", timeout=loop_count * sleep_time):
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count = 1
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while True:
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cache_data = cache_obj.get_storage_cache()
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logger.warning(f'unique_key:{unique_key} cache_data: {cache_data} ')
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if cache_data and isinstance(cache_data, list) and unique_key in cache_data:
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result = func(*args, **kwargs)
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if expect_func(result, *args, **kwargs):
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set_pending_cache(unique_key, cache_data, cache_obj, cache_timeout)
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return True, {'data': result}
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time.sleep(sleep_time)
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if loop_count < count:
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set_pending_cache(unique_key, cache_data, cache_obj, cache_timeout)
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return False, {'err_msg': '请求超时'}
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count += 1
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else:
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set_pending_cache(unique_key, cache_data, cache_obj, cache_timeout)
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return True, {'err_msg': '请求重复,请稍后再试'}
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except Exception as e:
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logger.warning(f'get pending result exception: {e}')
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set_pending_cache(unique_key, cache_data, cache_obj, cache_timeout)
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return False, {'err_msg': '内部错误'}
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