Python flask 接收json数据

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1.主配置文件app.py<br> import logging from flask import Flask, request, make_response from logConfig import *   app = Flask(__name__)   @app.route("/upload", methods=["POST"]) def save_file():     res_status = request.remote_addr,request.method,request.path,request.url     logger.info(res_status)     if request.method == 'POST':         print("start...")         #print(request.remote_addr,request.method,request.path,request.url)                   # 获取json数据         print(type(request.json))         #print(request.json['hello'])         res = request.json['data']         #print(res)           print("end...")                   logger.info(res)         #return "已接收保存\n"           return res     else:         logger.error("非POST类型请求.")     if __name__ == '__main__':     app.run(host="0.0.0.0", port=5000, debug=True)     #curl http://172.16.0.46:5000/upload -X POST -d '{"data":{"mem": "80","cpu":"20","disk":"50","server":{"name":"lipc","age":"18"}}}' --header "Content-Type: application/json"

 

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2.日志格式配置logConfig.py   import logging import logging.handlers import time   LOG_PATH = r'./'   def getlogname():     logfilename = time.strftime('%Y%m%d%H%M%S',time.localtime(time.time()))     print(logfilename)     return logfilename     def logConfig_1():     '''     配置 log 输出到文件 : fileName 中     '''     fileName = LOG_PATH + r"\%s.txt"%getlogname()     #print(lfname)     logformat='%(asctime)s - %(filename)s[line:%(lineno)d] - %(levelname)s: %(message)s'     logging.basicConfig(level=logging.DEBUG,#控制台打印的日志级别                     filename=fileName,                     filemode='a',##模式，有w和a，w就是写模式，每次都会重新写日志，覆盖之前的日志                     #a是追加模式，默认如果不写的话，就是追加模式                     format=logformat                     #日志格式                     )     print('logConfig_2配置完成') #logConfig_1()#配置log     def logConfig_2():     '''     配置 log 输出到文件 和 控制台：     即 需要2个处理器:         1-输出到文件         2-输出到控制台     '''     logfilename = LOG_PATH + r"\%s.txt"%getlogname()     logformat_1='%(asctime)s - %(filename)s[line:%(lineno)d] - %(levelname)s: %(message)s'         #获取日志器 Logger ，并取名 'mylogger'     logger = logging.getLogger('mylogger')     logger.setLevel(logging.DEBUG)#统一设置log打印级别     logger.handler = []       #创建处理器 Handler：fileHandler、streamHandler     fileHandler = logging.FileHandler(logfilename)#输出到文件     fileHandler.setFormatter(logging.Formatter(logformat_1))       streamHandler = logging.StreamHandler()#输出到控制台     streamHandler.setLevel(logging.ERROR)#可单独对handler设置log打印级别     logformat_2=' %(name)s-%(asctime)s - %(module)s-%(funcName)s[line:%(lineno)d] - %(levelname)s: %(message)s'     streamHandler.setFormatter(logging.Formatter(logformat_2))       #将处理器添加到日志器中     logger.addHandler(fileHandler)     logger.addHandler(streamHandler)       print('logConfig_2配置完成')     return logger #全局变量 logger = logConfig_2()#配置log,在其他模块中引用的时候直接运用logger，不能再次创建   if __name__ == '__main__':     #logging.debug('debug message %s - %d ......','hello', 1)       logger.debug('debug message')     logger.info('info message')     logger.warning('warning message')     logger.error('error message')     logger.critical('critical message')

 

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1 2	3.启动python程序 python3 app.py

 

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4.终端程序<br>#将此shell脚本加入到crontab中，定时执行即可上报对应的终端数据到服务端 [root@cambricon ~]10 cat lipc-test.sh #!/bin/bash function ema_info() {      sn_number=$(cat /proc/tztek_env |awk 'NR==2 {print $3}')     disk_used=$(df -h|grep aibox|awk '{print $5}')     Mem_used=$(free -m | sed -n '2p' | awk '{print $3/$2*100"%"}')     ai_status=$(/home/nvidia/aibox/devops/devops_ai.sh status| awk 'NR==1 {print $3}')     da_status=$(/home/nvidia/aibox/devops/devops_da.sh status| awk 'NR==1 {print $3}')     up_status=$(/home/nvidia/aibox/devops/devops_up.sh status| awk 'NR==1 {print $3}')     json="{\"data\":{\"SN\":\"$sn_number\",\"mem\":\"$Mem_used\",\"disk\":\"$disk_used\",\"server\":{\"ai\":\"$ai_status\",\"da\":\"$da_status\",\"up\":\"$up_status\"}}}"     timeout -t 15 curl -H "Content-Type: application/json" -X POST -d  "${json}" "http://172.16.0.46:5000/upload" } ema_info<br><br>