拉取数据经典版

Posted 2020-10-30 zhangning

 1 #! /usr/bin/env python
 2 # coding=utf-8
 3 import pymysql
 4 import json
 5 import urllib
 6 import time
 7 import urllib2
 8 import urllib
 9 import datetime
10 
11 url=‘http://engine.dashboard.sh2.ctripcorp.com:8080/jsonp/getgroupeddatapoints?reqdata={"version":1,"time-series-pattern":{"namespace":"ns-null","metrics-name":"payment.switch.rtpmonitor.metric.cost","tag-search-part":{}},"aggregator":{"accept-linear-interpolation":true,"function":"sum"},"downsampler":{"interval":"1d","function":"sum"},"max-datapoint-count":100,"start-time":"2018-04-10 00:00:00","end-time":"2018-04-11 00:00:00","rate":false,"group-by":["collectionid"],"maxGroupCount":100}‘
12 page=urllib.urlopen(url)
13 data=page.read()
14 json_data=json.loads(data)
15 local_data=json_data[‘time-series-group-list‘]
16 collectionid_total =[]
17 num_total =[]
18 for item in local_data:
19     collectionid = item["time-series-group"]["collectionid"]
20     num = item["data-points"]["total"]
21     collectionid_total.append(collectionid)
22     num_total.append(num)
23 print(zip(collectionid_total,num_total))

View Code