requests_cache.install_cache()requests_cache.clear()defmake_throttle_hook(timeout=0.1):defhook(response,*args,**kwargs):print(response.text)# 判断没有缓存时就添加延时ifnotgetattr(response,'from_cache',False):print(f'Wait {timeout} s!')time.sleep(timeout)else:print(f'exists cache: {respo...
importrequests_cacheimportrequests requests_cache.install_cache()#设置缓存requests_cache.clear()#清空缓存url ='http://httpbin.org/get'res=requests.get(url)print(f'cache exists: {res.from_cache}')#cache exists: False # 不存在缓存res =requests.get(url)print(f'exists cache: {res.from_cache}...
pip install requests-cache 在做爬虫的时候,我们往往可能这些情况: 网站比较复杂,会碰到很多重复请求。 有时候爬虫意外中断了,但我们没有保存爬取状态,再次运行就需要重新爬取。 测试样例对比 import requests import time start = time.time() session = requests.Session() for i in range(10): session.get(...
from_cache: # 记录缓存命中信息 logging.info('Cache hit for URL: %s', response.url) else: # 缓存未命中,执行其他操作 pass 使用自定义变量记录:可以在代码中定义一个变量,用于记录缓存命中的次数或状态。当缓存命中时,相应地增加计数或修改状态。
importrequests_cachesession=requests_cache.CachedSession('demo_cache')foriinrange(60):session.get('https://httpbin.org/delay/1') With caching, the response will be fetched once, saved todemo_cache.sqlite, and subsequent requests will return the cached response near-instantly. ...
根据Cache-Control字段的值,我们可以判断缓存是否过期。如果Cache-Control字段中包含max-age指令,我们可以使用datetime模块来计算缓存过期的时间点。以下是判断缓存是否过期的代码片段: fromdatetimeimportdatetime,timedeltaif'max-age'incache_control:max_age=int(cache_control.split('=')[1])expires=datetime.now()+...
Dear Jordan, because we have been in touch at panodata/grafana-wtf#111 1, I wanted to tell you about DiskCache by @grantjenks. It might come handy as a rock solid file-based cache backend for requests-cache, not needing to handle locking...
'cache-control':'no-cache', 'dnt':'1', 'pragma':'no-cache', 'sec-ch-ua':'"Chromium";v="118", "Microsoft Edge";v="118", "Not=A?Brand";v="99"', 'sec-ch-ua-mobile':'?0', 'sec-ch-ua-platform':'"macOS"', 'sec-fetch-des...
lru_cache:用于实现请求结果的缓存; grequests:用于实现基于协程的并发请求。 方案详细描述 1. 使用多线程或异步处理方式进行并发请求 Python 提供了多线程和异步处理的方式来实现并发请求。我们可以使用concurrent.futures库来创建线程池或进程池,从而并发处理请求。
'Cache-Control': 'max-age=0', 'Connection': 'keep-alive', 'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:22.0) Gecko/20100101 Firefox/22.0'} s = requests.Session() s.headers.update(headers) # s.auth = ('superuser', '123') ...