# -*- codeing = utf-8 -*-
# @Time : 2022/10/29 13:54
# @Author : Clown
# @File : demo_易订货.py
# @Software : PyCharm
import re
import pandas as pd
import hashlib
import requests
import json

def getGoodsInfo():

    url = 'https://corp.dinghuo123.com/v2/goods/list?currentPage=1&pageSize=50&loadPrice=true'
    cookie = 'jwt=eyJhbGciOiJIUzI1NiJ9.eyJqdGkiOiJqaWFuZ3hpYW9iYWl4eiIsInN1YiI6IntcImRiaWRcIjoyNTE5MDkxLFwic1wiOlwiUENcIixcInVpZFwiOjEyMjMwNTQ2LFwidXNlck5hbWVcIjpcImppYW5neGlhb2JhaXh6XCIsXCJ1c2VyVHlwZVwiOjF9IiwiZXhwIjoxNjY3ODc2MDk3fQ.MAWyTWjNrkugEjKMg1s4WROe5zQ_RF2Q1S1zByJEPSQ'
    headers = {
        'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/102.0.0.0 Safari/537.36',
        'cookie': cookie}
    if 1==1:
        resp = requests.get (url, headers=headers).json ()
        # print(resp)

        rows_Cnt = resp['data']['totalCount']
        pageSize = resp['data']['pageSize']
        if int (rows_Cnt / pageSize) < rows_Cnt / pageSize:
            pages = int (rows_Cnt / pageSize) + 1
        else:
            pages = int (rows_Cnt / pageSize)
    if 1==0:
        pages = 1
    cnt = 0
    df_out = []
    for page in range (1, pages + 1):
        url_page = f'https://corp.dinghuo123.com/v2/goods/list?currentPage={page}&pageSize=50&loadPrice=true'
        resp = requests.get (url_page, headers=headers).json ()
        datas = resp['data']['items']
        for goodInfo in datas:
            goodInfo_dict = {}
            goodInfo_dict['id'] = goodInfo['id']
            goodInfo_dict['商品编码'] = goodInfo['code']
            goodInfo_dict['商品名称'] = goodInfo['name']
            goodInfo_dict['商品分类'] = goodInfo['productTypeName']
            goodInfo_dict['最小单位'] = goodInfo['productUnitName']
            unitList = goodInfo['unitList']
            unit_dict_map = {}
            n = 1
            for unit in unitList:
                unit_dict_map[str (unit['unitId'])] = {}
                unit_dict_map[str(unit['unitId'])]['unitName'] = unit['unitName']
                unit_dict_map[str (unit['unitId'])]['rate'] = unit['rate']
                if unit['rate'] > 1:
                    goodInfo_dict[f'副单位{n}'] = unit['unitName']
                    unit_dict_map[str (unit['unitId'])]['kind'] = n
                    n += 1
                else:
                    unit_dict_map[str (unit['unitId'])]['kind'] = 0

            priceList = goodInfo['priceList']
            for priceInfo in priceList:
                priceInfo_dict = {}
                priceInfo_dict['供货区域'] = priceInfo['customerTypeName']
                if priceInfo['isForbidden'] == '0':
                    priceInfo_dict['区域起订量(最小单位)'] = priceInfo['minQuantity']
                    for unit_price in priceInfo['unitPrices']:
                        unitId = unit_price['unitId']
                        orderPrice = unit_price['orderPrice']
                        rate = unit_dict_map[str(unitId)]['rate']
                        if unit_dict_map[str(unitId)]['kind'] == 0:
                            priceInfo_dict['最小单位售价'] = orderPrice
                        else:
                            x = unit_dict_map[str(unitId)]['kind']
                            priceInfo_dict[f'副单位{x}售价'] = orderPrice
                            priceInfo_dict[f'副单位{x}换算数量'] = rate

                else:
                    ...
                priceInfo_dict.update (goodInfo_dict)
                df_out.append (priceInfo_dict)
                # print (priceInfo_dict)


    df_out_header = ['id','商品编码','商品名称','商品分类','供货区域','区域起订量(最小单位)','最小单位','最小单位售价','副单位1','副单位1售价','副单位1换算数量']
    excel_out = pd.DataFrame(df_out,columns=df_out_header)

    excel_out.to_excel('C:/Users/ClownHe/Desktop/店务通数据/易订货系统商品信息20221103.xlsx',index=False)




def run():
    ...


if __name__ == '__main__':
    getGoodsInfo()