forked from mrlan/EnglishPal
44 lines
1.6 KiB
Python
Executable File
44 lines
1.6 KiB
Python
Executable File
''' Contributed by Lin Junhong et al. 2023-06.'''
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import requests
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import multiprocessing
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import time
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def stress(username):
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try:
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data = {
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'username': username,
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'password': '123123'
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}
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headers = {
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'User-Agent': 'Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Mobile Safari/537.36 Edg/114.0.1823.51'
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}
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session = requests.session()
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response = session.post(url='http://127.0.0.1:5000/signup', data=data, headers=headers)
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print('Sign up ', response.status_code)
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time.sleep(0.5)
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response = session.post(url='http://127.0.0.1:5000/login', data=data, headers=headers)
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print('Sign in ', response.status_code)
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time.sleep(0.5)
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response = session.get(url=f'http://127.0.0.1:5000/{username}/userpage', headers=headers)
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print('User page', response.status_code)
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time.sleep(0.5)
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print(session.cookies)
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for i in range(5):
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response = session.get(url=f'http://127.0.0.1:5000/get_next_article/{username}', headers=headers, cookies=session.cookies)
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time.sleep(0.5)
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print(f'Next page ({i}) [{username}]')
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print(response.status_code)
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print(response.json()['today_article']['article_title'])
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except Exception as e:
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print(e)
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if __name__ == '__main__':
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username = 'Learner'
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pool = multiprocessing.Pool(processes=10)
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for i in range(10):
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pool.apply_async(stress, (f'{username}{i}',))
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pool.close()
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pool.join()
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