import requests url = 'https://www.example.com' # 使用Session对象作为上下文管理器 with request...
return results async def connect_url_by_session(session, url): async with session.get(url) as response: return await response.text() async def run_connect(url): async with aiohttp.ClientSession() as session: tasks = [] for i in range(CALL_TIMES): tasks.append(connect_url_by_session(se...
adapter = requests.adapters.HTTPAdapter( proxy=proxies, max_retries=3 ) #访问三次网站,使用相同的Session(keep-alive),均能够保持相同的外网IP with requests.session() as s: # 设置cookie # cookie_dict = {“JSESSION”:“123456789”} # cookies = requests.utils.cookiejar_from_dict(cookie_dict, ...
下边拿requests.session()为例: importrequestswithrequests.session()assession:response_html=session.get('http://www.baidu.com').text print(response_html) 为什么with语句块能控制网络的建立与释放,原因是实现了上下文管理协议(context management protocol),相关的两个魔法方法: __enter__(self): 不接收参数,...
session.headers.update(headers)print(session.headers)#在请求的时候添加headers参数response = session.get(url, headers=headers) 备注: 两种方式在response端看到的效果等同,区别在于第一种方式session是永久的,而第二种常用的方式只是在请求的时候携带过去。
根据poster中回帖给出的解决方法可以知道,在主线程中Session启动后调用的计算图graph默认就是默认Graph,但是在子线程中则需要对使用的计算图进行指定,给出修改后的可运行的代码: import tensorflow as tf import threading def thread_function(i): with sess.graph.as_default(): ...
session.rollback()finally: session.close() 装饰器@contextmanager 只是省略了 __enter__() / __exit__() 的编写,但并不负责实现资源的“获取”和“清理”工作;“获取”操作需要定义在 yield 语句之前,“清理”操作需要定义 yield 语句之后,这样 with 语句在执行 __enter__() / __exit__() 方法时会...
adapter=requests.adapters.HTTPAdapter(proxy=proxies,max_retries=3)#访问三次网站,使用相同的Session(keep-alive),均能够保持相同的外网IPwithrequests.session()ass:# 设置cookie # cookie_dict={“JSESSION”:“123456789”}# cookies=requests.utils.cookiejar_from_dict(cookie_dict,cookiejar=None,overwrite=Tru...
importasyncioimportaiohttpasyncdeffetch(url,session):asyncwithsession.get(url)asresponse:returnawaitresponse.text()asyncdefmain():urls=['http://example.com/page1','http://example.com/page2','http://example.com/page3',# Add more URLs as needed]asyncwithaiohttp.ClientSession()assession:tasks=...
async with aiohttp.ClientSession() as session: async with session.get(url) as response: return await response.text() async def main(): urls = ["http://example.com" for _ in range(5)] tasks = [fetch(url) for url in urls]