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 = {'': 'R1M', '': 'R3M', '': 'R6M','': 'R1Y', '': '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！