python flask开发的简单基金查询工具

import average_growth
import json
import common
import choose_api
from pathlib import Path

def over_time(detail, board):
 """
 判断当日持仓的所有基金的合计涨幅是否超过沪深300
 :param code_list: list 基金代码列表
 :return: json文件，格式如下，HS300涨幅、持仓合计涨幅、持仓涨幅是否超过沪深300
  {
"2020-12-31": {
 "HS300": "1.91",
 "my_position": "1.35",
 "over_take": false
},
"2021-01-04": {
 "HS300": "1.08",
 "my_position": "1.33",
 "over_take": true
}
  }
  ......
 """
 # 获取日期
 try:
  date = detail[0]['netWorthDate']
 except:
  date = detail[1]['netWorthDate']
 hs300 = ''
 for i in board:
  if i['name'] == '沪深300':
hs300 = i['changePercent']
 # 判断文件是否存在，不存在则创建
 json_file_name = 'file/bj.json'
 file = Path(json_file_name)
 file.touch(exist_ok=True)
 # 此时更新的准确净值涨幅的平均值
 avg = average_growth.average_growth(detail)['average_dayGrowth']
 print('hs300:', hs300)
 print('avg:', avg)
 # 写入文件
 with open("file/bj.json", 'r+') as f:
  try:
data = json.load(f)
f.seek(0, 0)
f.truncate()
  except Exception as e:
print(e)
data = {}
  finally:
print(f'获取数据: {data}')
data[date] = {
 'HS300': hs300,
 'my_position': str(avg),
 'over_take': True if float(avg) > float(hs300) else False
}
print(f'更新数据: {date}:{data[date]}')
f.write(json.dumps(data, sort_keys=True, indent=4, separators=(',', ': ')))
print(f'{json_file_name} 已更新!')

if __name__ == '__main__':
 code_list = common.get_codelist('product')
 data = choose_api.choose_api(code_list)
 detail = data['detail']
 board = data['board']
 over_time(detail, board)

import requests

def nasdaq():
 """
 爬取sina财经nasdaq基础数据
 :return: 构建的标准返回格式，只包含当日的数据，无历史数据
 """
 url = "http://hq.sinajs.cn/?rn=1609213839262&list=gb_$ndx"
 r = requests.get(url)
 response = r.text
 if r.status_code == 200:
  data = response.split('=')[1].split(',')
  nasdaq_data = {'name': data[0].strip('"'), 'code': '040046', 'price': data[1], 'priceChange': data[4], 'expectGrowth': data[2], 'dayGrowth': data[2], 'lastWeekGrowth': '-', 'lastMonthGrowth': '-', 'lastThreeMonthsGrowth': '-', 'date': ''}
  return nasdaq_data
 else:
  print(f'nasdaq return error: \n {response}')

if __name__ == '__main__':
 nasdaq_data = nasdaq()
 for k, v in nasdaq_data.items():
  print(f'{k}: {v}')