python UI自动化实战记录二:请求接口数据并提取数据

该部分记录如何获取预期结果-接口响应数据,分成两步:

1 获取数据源接口数据

2 提取后续页面对比中要用到的数据

并且为了便于后续调用,将接口相关的都封装到ProjectApi类中。

 

新建python包:apiclass 》 新建python file:api_fund。所有接口相关的操作均放到该文件中。隐去项目相关信息后的代码如下:

 

1 获取数据源接口数据

# coding:utf-8

import requests
from common.round_rewrite import round_rewrite #点击查看该函数 四舍五入
from common.jsonp_to_json import jsonp_to_json #点击查看该函数 jsonp转成json

class Fund:
    
    fund_api_url = '接口地址url'

    """四个原始数据接口"""
    def api_strategy(self,day=''):
        """
      接口1
        """
        url = Fund.fund_api_url+'api1.json'
        response = requests.get(url,params={"day":day}).json()
        return response

    def api_lastestinfo(self,code):
        """
     接口2
        """
        url = Fund.fund_api_url+'latestInfo/{0}.json'.format(code)
        response = requests.get(url).json()
        return response

    def api_trends(self,code,pattern,period):
        """
     接口3  
     """
        identifier = "{code}_{pattern}_{period}".format(code=code,pattern=pattern,period=period)
        url = Fund.fund_api_url+"trends/{0}.json".format(identifier)
        jsonpstr = requests.get(url).text 
        jsonstr = jsonp_to_json(jsonpstr)
        return jsonstr

    def api_timeline(self,code):
        """
     接口4
        """
        url = Fund.fund_api_url+"timeline/{0}.json".format(code)
        response = requests.get(url).json()
        return response

 

2 提取后续页面对比中要用到的数据

 

接口1比较特别,返回数据是一个list,按时间升序排列。有的页面需要取最早的数据,有的页面取最新的数据。

1  用一个参数来标识,该参数设置成list切片步长。1从前往后去,-1从后往前取。

2 samples是一个dict组成的list,要取出每一个dict里的values

samples = sorted([list(ele.values()) for ele in samples]) # 转变成与页面数据一致的格式

def get_fund_strategy(self,code,day='',latest=1):
        """提取接口1的数据
        latest:1-取最早的数据;-1-取最新的数据"""
        fund_strategy = self.api_strategy(day) #获取策略配置接口数据,day之后的数据都会取出来

        for ele in fund_strategy[::latest]:  #1从前往后取最早,-1从后往前取最新
            if ele["code"] == code:
                self.code = ele["code"]
                self.name = ele["name"]
                self.summary = ele["summary"]
                self.memo = ele["memo"]
                samples = ele["samples"]
                self.samples = sorted([list(ele.values()) for ele in samples]) # 转变成与页面数据一致的格式
                return #取到则退出循环

 

接口2:一个页面只需要3M的数据,单独写了一个函数; 另一个页面需要全量数据。

    def get_fund_latestinfo(self,code):
        """提取接口2的数据"""
        fund_lastestinfo = self.api_lastestinfo(code)  
        nav = fund_lastestinfo["nav"]
        navDate = fund_lastestinfo["navDate"][-5:]  
        navChange = fund_lastestinfo["navChange"]
        annualChangeAll = fund_lastestinfo["annualChangeAll"]
        self.navlist = [nav,navDate,navChange,annualChangeAll] 
        percents = fund_lastestinfo["percents"] 
        self.percents_list = [list(ele.values())[1:] for ele in percents] 

 def get_fund_percentM3(self,code):
        """获取3个月收益率,首页有该数据"""
        fund_lastestinfo = self.api_lastestinfo(code) 
        self.percentM3 =fund_lastestinfo["percents"][0]["percentM3"] 
        return self.percentM3

 

 

接口3:需要对数值进行判断,当数值>=0,显示超出,否则跑输。

sharprun = "超出" if self.sharpeDiff >= 0 else "跑输"    

将列表里的每一个字典的key转成中文,方便与页面数据对比

self.trends = map(lambda line: {"日期":line["date"],"组合市值":line["mv"],"比较基准市值":line["bmv"]},trends) #列表里的字典key英文转成中文

def get_fund_trends(self,code,pattern,peroid):
        """提取接口3的数据"""
        fund_trends = self.api_trends(code, pattern, peroid)  # 请求接口数据
    
     """获取接口字段值"""
        self.percent = fund_trends["percent"]  
        self.percentDiff = fund_trends["percentDiff"] 
        self.maxDown = fund_trends["maxDown"]  
        self.mdStart = fund_trends["mdStart"]  
        self.mdEnd = fund_trends["mdEnd"]  
        self.startDate = fund_trends["startDate"]  
        try:
            self.sharpe = fund_trends["sharpe"]  
            self.sharpeDiff = fund_trends["sharpeDiff"]  
            sharprun = "超出" if self.sharpeDiff >= 0 else "跑输"  
            percentRun = "超出" if self.percentDiff >= 0 else "跑输"
            sharpeDiff = abs(self.sharpeDiff)
        except KeyError: # 夏普比率跨年时今年以来接口无数据,置为空
            sharpe = sharpeDiff =  sharprun = percentRun = ""

        trends = fund_trends["trends"] # 组合涨幅走势数据
        self.trends = map(lambda line: {"日期":line["date"],"组合市值":line["mv"],"比较基准市值":line["bmv"]},trends) #列表里的字典key英文转成中文

        result = [code,self.startDate, percentRun, abs(self.percentDiff), self.percent,
                  self.maxDown,sharprun, sharpeDiff, self.sharpe, self.mdStart, self.mdEnd] #与页面一样的格式
        return result
  

 

 

接口4:需要取当前和昨天的值计算涨跌幅,并保留2位小数

 """提取原始接口中页面所需数据"""
    def get_fund_timeline(self,code):
        """提取接口4的数据"""
        fund_timeline = self.api_timeline(code) 

        last = fund_timeline["last"] 
        date = fund_timeline["date"] 
        current = fund_timeline["current"] 
        timeline = fund_timeline["timeline"] 

        rate = (current - last) / last * 100 
        timeline_current = dict(日期=date,实时估值=current,估值涨幅=round_rewrite(rate,2)) 

        timeline_list = []
        for tl in timeline: #分时数据
            dt = tl["dt"]
            nav = tl["nav"]
            rt = (nav - last) / last * 100
            timelinedata = dict(时间=dt,估值=nav,涨跌幅=round_rewrite(rt,2))
            timeline_list.append(timelinedata)
        return timeline_current,timeline_list

 

 

最后一部分,因页面图形无法自动化验证,手工测试相关的函数:

 def mannualtest_timeline(self):
        """分时图手工测试"""
        print('code:00X00Y')
        scode = input("获取实时估值 输入code")
        try:
            """实时估值"""
            current, timeline = self.get_fund_timeline(scode)
            print("实时估值:", current)
            print("分时图数据:")
            for line in timeline:
                print(line)
        except Exception as e:
            print(e)

 

 def mannualtest_trends(self):
        """走势图手工测试"""
        print('code:00X00Y')
        scode = input("获取组合走势图形数据:请输入code\n")
        pattern = input("投资方式 W(默认) K\n")
        peroiddict = {'1': 'R1M', '2': 'R3M', '3': 'R6M','5': 'R1Y', '6': 'R3Y'}
        peroid = input("投资期限输入对应数字 %s\n"%peroiddict)

        peroid = peroid.strip()
        pattern = pattern.strip().upper()#去除左右空格后转大写

        if pattern != 'K':
            pattern = 'W'#只要不等于K,则默认W
        if peroid in peroiddict.keys():
            peroid = peroiddict[peroid] #在字典里则取对应值
        else:
            peroid = 'R1M' #不在字典取默认R1M

        try:
            self.get_fund_trends(scode, pattern, peroid) #获取接口数据
            print("组合走势图{scode}_{pattern}_{peroid}".format(scode=scode,pattern=pattern,peroid=peroid))
            for line in self.trends:
                print(line)
        except Exception as e:
            print(e)

 

the end!

posted @ 2019-01-09 21:00  dinghanhua  阅读(3530)  评论(0编辑  收藏  举报