Python flask 接收json数据

1.主配置文件app.py

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"

 

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')

 

3.启动python程序
python3 app.py

 

4.终端程序
#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