Python监控爬虫是一种很有用的技术,可以用于监控爬虫的运行情况,及时发现问题并解决。下面是一个简单的Python监控爬虫教程。
# 导入必要的模块 import time import requests # 设置监控参数 target_url = 'http://www.example.com' interval = 60 # 监控间隔,单位:秒 timeout = 10 # 超时时间,单位:秒 # 监控函数 def monitor(): try: response = requests.get(target_url, timeout=timeout) if response.status_code == 200: print('The spider is working fine.') else: print('The spider is down with status code: ', response.status_code) except requests.exceptions.RequestException as e: print('The spider is down with error: ', e) # 循环监控 while True: monitor() time.sleep(interval)
上面的代码会每隔60秒向指定的URL发送请求,判断爬虫是否正常运行。如果爬虫响应200,就输出"The spider is working fine.",否则输出"The spider is down with status code: "与实际的状态码。如果请求失败,就输出"The spider is down with error: "与详细的错误信息。
此外,我们还可以将监控结果写入日志文件,这样有助于我们更好地分析监控数据。下面是一个简单的日志记录代码。
# 日志记录器 class Logger: def __init__(self, filename): self.filename = filename def write_log(self, message): with open(self.filename, 'a') as f: f.write('[' + time.strftime('%Y-%m-%d %H:%M:%S') + '] ' + message + '\n') # 设置日志文件名 log_filename = 'spider_monitor.log' # 创建日志记录器对象 logger = Logger(log_filename) # 修改监控函数,加入日志记录 def monitor(): try: response = requests.get(target_url, timeout=timeout) if response.status_code == 200: message = 'The spider is working fine.' else: message = 'The spider is down with status code: ' + str(response.status_code) except requests.exceptions.RequestException as e: message = 'The spider is down with error: ' + str(e) print(message) logger.write_log(message) # 循环监控 while True: monitor() time.sleep(interval)
上面的代码中,我们定义了一个Logger类,用于将监控结果写入指定的日志文件。在monitor()函数中,我们调用Logger的write_log()方法将监控结果写入日志文件。这样,我们就可以对监控结果进行更加细致的分析。
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