2748 lines
140 KiB
Plaintext
2748 lines
140 KiB
Plaintext
{
|
||
"cells": [
|
||
{
|
||
"metadata": {},
|
||
"cell_type": "markdown",
|
||
"source": "好店长消费流水\n"
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-02-08T04:58:09.915448Z",
|
||
"start_time": "2025-02-08T03:43:32.154990Z"
|
||
}
|
||
},
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import requests\n",
|
||
"import time\n",
|
||
"import json\n",
|
||
"import math\n",
|
||
"import xlrd\n",
|
||
"from pprint import pprint\n",
|
||
"from tqdm import tqdm\n",
|
||
"\n",
|
||
"headers = {\n",
|
||
" 'authority': 'api.365hdz.com',\n",
|
||
" 'method': 'POST',\n",
|
||
" 'path': '/identity/hdz/income/data.js',\n",
|
||
" 'scheme': 'https',\n",
|
||
" 'accept': 'application/json, text/javascript, */*; q=0.01',\n",
|
||
" 'accept-encoding': 'gzip, deflate, br, zstd',\n",
|
||
" 'accept-language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',\n",
|
||
" # 'authorization': 'bearer f7bf919e-1bec-4244-86b9-0dd2b6942162',\n",
|
||
" 'clienttype': 'GOOD_MANAGER_PRO',\n",
|
||
" 'content-length': '245',\n",
|
||
" 'content-type': 'application/x-www-form-urlencoded; charset=UTF-8',\n",
|
||
" 'origin': 'https://vip.365hdz.com',\n",
|
||
" 'priority': 'u=1, i',\n",
|
||
" 'referer': 'https://vip.365hdz.com/',\n",
|
||
" 'sec-ch-ua': '\"Chromium\";v=\"130\", \"Microsoft Edge\";v=\"130\", \"Not?A_Brand\";v=\"99\"',\n",
|
||
" 'sec-ch-ua-mobile': '?0',\n",
|
||
" 'sec-ch-ua-platform': '\"Windows\"',\n",
|
||
" 'sec-fetch-dest': 'empty',\n",
|
||
" 'sec-fetch-mode': 'cors',\n",
|
||
" 'sec-fetch-site': 'same-site',\n",
|
||
" 'storeid': 'c1a6a754864d449fb03fe913f41b8f5e', # 修改\n",
|
||
" 'storename': '%E4%B8%8B%E5%A1%98%E8%80%81%E5%85%B5%E6%B1%BD%E8%BD%A6%E6%9C%8D%E5%8A%A1%E4%B8%AD%E5%BF%83',\n",
|
||
" # 修改，注意storename为店铺名称，登录失败试一下手动转码\n",
|
||
" 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36 Edg/130.0.0.0',\n",
|
||
" 'x-client-id': 'HDZ_PRO_PC'\n",
|
||
"}\n",
|
||
"\n",
|
||
"# 创建一个空的DataFrame\n",
|
||
"all_data = pd.DataFrame()\n",
|
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"start = 13770\n",
|
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"page = 1530\n",
|
||
"for i in tqdm(range(3008, 6926)):\n",
|
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" json1 = {\n",
|
||
" 'draw': 25,\n",
|
||
" 'start': start,\n",
|
||
" 'length': 9,\n",
|
||
" 'desc': 'false',\n",
|
||
" 'page': page,\n",
|
||
" 'size': 9,\n",
|
||
" 'sourceHdzId': '59dd3d9f68344b9ebaf4e306ad1816e9', # 修改\n",
|
||
" 'paymentType': '',\n",
|
||
" 'midDate': '2009-01-01 00:00:00',\n",
|
||
" 'endDate': '2024-12-27 23:59:59',\n",
|
||
" 'sourceType': '',\n",
|
||
" 'customerName': '',\n",
|
||
" 'customerPhone': '',\n",
|
||
" 'customerLicensePlate': '',\n",
|
||
" 'sourceName': ''\n",
|
||
" }\n",
|
||
" url = 'https://api.365hdz.com/identity/hdz/income/data.js'\n",
|
||
" res1 = requests.post(url, headers=headers, data=json1)\n",
|
||
" strele1 = res1.json()\n",
|
||
" start = start + 9\n",
|
||
" page = page + 1\n",
|
||
" for a in range(0, 9):\n",
|
||
" data_list = [strele1['data'][a]]\n",
|
||
" df_new1 = pd.DataFrame(data_list)\n",
|
||
" # 将当前接口的数据添加到总数据中\n",
|
||
" all_data = all_data._append(df_new1, ignore_index=True)\n",
|
||
" # print(i)\n",
|
||
" time.sleep(1)\n",
|
||
"all_data.to_excel(r'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\好店长消费流水1-15212771219.xlsx')\n",
|
||
"\n",
|
||
"# all_data.to_excel(r'C:\\Users\\admin\\Downloads\\好店长消费流水,{}.xlsx'.format(page))\n",
|
||
"\n"
|
||
],
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" 66%|██████▌ | 2592/3918 [1:14:37<38:10, 1.73s/it]\n"
|
||
]
|
||
},
|
||
{
|
||
"ename": "IndexError",
|
||
"evalue": "list index out of range",
|
||
"output_type": "error",
|
||
"traceback": [
|
||
"\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
|
||
"\u001B[1;31mIndexError\u001B[0m Traceback (most recent call last)",
|
||
"Cell \u001B[1;32mIn[11], line 64\u001B[0m\n\u001B[0;32m 62\u001B[0m page \u001B[38;5;241m=\u001B[39m page \u001B[38;5;241m+\u001B[39m \u001B[38;5;241m1\u001B[39m\n\u001B[0;32m 63\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m a \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mrange\u001B[39m(\u001B[38;5;241m0\u001B[39m,\u001B[38;5;241m9\u001B[39m):\n\u001B[1;32m---> 64\u001B[0m data_list \u001B[38;5;241m=\u001B[39m [strele1[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mdata\u001B[39m\u001B[38;5;124m'\u001B[39m][a]]\n\u001B[0;32m 65\u001B[0m df_new1 \u001B[38;5;241m=\u001B[39m pd\u001B[38;5;241m.\u001B[39mDataFrame(data_list)\n\u001B[0;32m 66\u001B[0m \u001B[38;5;66;03m# 将当前接口的数据添加到总数据中\u001B[39;00m\n",
|
||
"\u001B[1;31mIndexError\u001B[0m: list index out of range"
|
||
]
|
||
}
|
||
],
|
||
"execution_count": 11
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-02-08T05:31:46.776813Z",
|
||
"start_time": "2025-02-08T05:31:31.723504Z"
|
||
}
|
||
},
|
||
"source": "all_data.to_excel(r'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\好店长消费流水2-15212771219.xlsx')",
|
||
"outputs": [],
|
||
"execution_count": 12
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" <thead>\n",
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" <th></th>\n",
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" <th>id</th>\n",
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" <th>customerLicensePlate</th>\n",
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" <th>customerName</th>\n",
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" <th>customerPhone</th>\n",
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" <th>paymentType</th>\n",
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" <th>salesChannels</th>\n",
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" <th>...</th>\n",
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" <th>sourceRecordId</th>\n",
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" <th>deductionAmount</th>\n",
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" <th>totalAmount</th>\n",
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" <th>couponName</th>\n",
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" <th>operatorName</th>\n",
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" <th>sourceSerialNumber</th>\n",
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" </tr>\n",
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|
||
" <th>0</th>\n",
|
||
" <td>5975253</td>\n",
|
||
" <td>2023-12-20 11:42:43</td>\n",
|
||
" <td>2023-08-29 16:12:50</td>\n",
|
||
" <td>皖BSQ608</td>\n",
|
||
" <td>安徽紫照建筑节能装饰股份有限公司</td>\n",
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||
" <td>13855383788</td>\n",
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" <td>True</td>\n",
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||
" <td>820.0</td>\n",
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||
" <td>WECHAT_PAY</td>\n",
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||
" <td>STORE</td>\n",
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||
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||
" <td>eef81256760343f6b567616ea2edd694</td>\n",
|
||
" <td>0.0</td>\n",
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||
" <td>820.0</td>\n",
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||
" <td>None</td>\n",
|
||
" <td>742c26f8a61041efb5ccdbfd13d37506</td>\n",
|
||
" <td>None</td>\n",
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||
" <td>None</td>\n",
|
||
" <td>滕栋银</td>\n",
|
||
" <td>GD20230829161250148WD2W</td>\n",
|
||
" <td>None</td>\n",
|
||
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|
||
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|
||
" <th>1</th>\n",
|
||
" <td>5975226</td>\n",
|
||
" <td>2023-12-20 11:36:39</td>\n",
|
||
" <td>2023-12-20 11:36:39</td>\n",
|
||
" <td>皖BX5331</td>\n",
|
||
" <td>黄祥阳</td>\n",
|
||
" <td>18949537203</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>13600.0</td>\n",
|
||
" <td>WECHAT_PAY</td>\n",
|
||
" <td>STORE</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>31f08ba597954cbebd404696abf6ad24</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>13600.0</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>1bbc937b91da474bb24a177def377608</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>滕栋银</td>\n",
|
||
" <td>GD20231028134336297Q62P</td>\n",
|
||
" <td>None</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>5975221</td>\n",
|
||
" <td>2023-12-20 11:36:13</td>\n",
|
||
" <td>2023-12-20 11:36:13</td>\n",
|
||
" <td>皖BHR128</td>\n",
|
||
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|
||
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|
||
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|
||
" <td>2400.0</td>\n",
|
||
" <td>WECHAT_PAY</td>\n",
|
||
" <td>STORE</td>\n",
|
||
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|
||
" <td>fcf165dfb8444eca88c7d933f0fff755</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>2400.0</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>309819bfa2454730b77e9e25c088c78e</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>滕栋银</td>\n",
|
||
" <td>GD20231202143857684XMMD</td>\n",
|
||
" <td>None</td>\n",
|
||
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|
||
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|
||
" <th>3</th>\n",
|
||
" <td>5975219</td>\n",
|
||
" <td>2023-12-20 11:35:54</td>\n",
|
||
" <td>2023-12-20 11:35:54</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
" <td>260.0</td>\n",
|
||
" <td>WECHAT_PAY</td>\n",
|
||
" <td>STORE</td>\n",
|
||
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|
||
" <td>44d7fb59bd114b1897aac3e196985b9d</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>260.0</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>e6beeb9605054648a19c873a714c5f13</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>滕栋银</td>\n",
|
||
" <td>GD20231206131413655UOCK</td>\n",
|
||
" <td>None</td>\n",
|
||
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|
||
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|
||
" <th>4</th>\n",
|
||
" <td>5975218</td>\n",
|
||
" <td>2023-12-20 11:35:34</td>\n",
|
||
" <td>2023-12-20 11:35:34</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
" <td>2240.0</td>\n",
|
||
" <td>WECHAT_PAY</td>\n",
|
||
" <td>STORE</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>60b2dc25b75140f3a306c17bcc6fd693</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>2240.0</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>5a63766fe94843bf88e0e8daec9ea72d</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>滕栋银</td>\n",
|
||
" <td>GD20231211143947654YA4Z</td>\n",
|
||
" <td>None</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
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|
||
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|
||
" <td>...</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>8614</th>\n",
|
||
" <td>986829</td>\n",
|
||
" <td>2019-05-15 18:20:48</td>\n",
|
||
" <td>2019-05-15 18:20:48</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>WECHAT_PAY</td>\n",
|
||
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|
||
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|
||
" <td>b0f917d3c2124a26ad32aca4a2953e30</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>320.0</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>ef63008c44494fbdbbfb666404d28b0a</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>滕栋银</td>\n",
|
||
" <td>GD20190515182001711TRVB</td>\n",
|
||
" <td>None</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8615</th>\n",
|
||
" <td>986772</td>\n",
|
||
" <td>2019-05-15 18:03:22</td>\n",
|
||
" <td>2019-05-15 18:03:22</td>\n",
|
||
" <td>浙A9FZ91</td>\n",
|
||
" <td>福特</td>\n",
|
||
" <td>15755381982</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>510.0</td>\n",
|
||
" <td>WECHAT_PAY</td>\n",
|
||
" <td>STORE</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>787cb784dea341dab26da58908726478</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>510.0</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>713a54ab2c184ee9a68a965defdf149b</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>滕栋银</td>\n",
|
||
" <td>GD20190515180205496ULJE</td>\n",
|
||
" <td>None</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8616</th>\n",
|
||
" <td>986711</td>\n",
|
||
" <td>2019-05-15 17:46:36</td>\n",
|
||
" <td>2019-05-15 17:46:36</td>\n",
|
||
" <td>皖BSX756</td>\n",
|
||
" <td>陈</td>\n",
|
||
" <td>15255313882</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>WECHAT_PAY</td>\n",
|
||
" <td>STORE</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>7992bb444d904c9485b99f3e1cac8f68</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>a847f1fc5e714789a07864f2ff967609</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>滕栋银</td>\n",
|
||
" <td>GD20190515173912365FWHB</td>\n",
|
||
" <td>None</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8617</th>\n",
|
||
" <td>985366</td>\n",
|
||
" <td>2019-05-15 10:37:42</td>\n",
|
||
" <td>2019-05-15 10:37:42</td>\n",
|
||
" <td>皖BW817Y</td>\n",
|
||
" <td>叶先生</td>\n",
|
||
" <td>13955375398</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>260.0</td>\n",
|
||
" <td>WECHAT_PAY</td>\n",
|
||
" <td>STORE</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>c59a4902cbdd441dafcabc64d92996e0</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>260.0</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>30ec6199c2d74085a6e7a79a0e74f372</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>滕栋银</td>\n",
|
||
" <td>GD20190515103724308BNVA</td>\n",
|
||
" <td>None</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8618</th>\n",
|
||
" <td>988962</td>\n",
|
||
" <td>2019-05-04 14:27:59</td>\n",
|
||
" <td>2019-05-04 14:27:59</td>\n",
|
||
" <td>皖BFW586</td>\n",
|
||
" <td>马自达</td>\n",
|
||
" <td>18755327782</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>350.0</td>\n",
|
||
" <td>WECHAT_PAY</td>\n",
|
||
" <td>STORE</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>b120f86bc28d4c679e02221e83f4eb24</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>350.0</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>a1b11bcffb9c48d396b84024db5dbba1</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>滕栋银</td>\n",
|
||
" <td>GD20190516142720311MXJC</td>\n",
|
||
" <td>None</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>8619 rows × 27 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" id createDateTime updateDateTime customerLicensePlate \n",
|
||
"0 5975253 2023-12-20 11:42:43 2023-08-29 16:12:50 皖BSQ608 \\\n",
|
||
"1 5975226 2023-12-20 11:36:39 2023-12-20 11:36:39 皖BX5331 \n",
|
||
"2 5975221 2023-12-20 11:36:13 2023-12-20 11:36:13 皖BHR128 \n",
|
||
"3 5975219 2023-12-20 11:35:54 2023-12-20 11:35:54 沪BFX298 \n",
|
||
"4 5975218 2023-12-20 11:35:34 2023-12-20 11:35:34 皖BV6290 \n",
|
||
"... ... ... ... ... \n",
|
||
"8614 986829 2019-05-15 18:20:48 2019-05-15 18:20:48 皖BR618H \n",
|
||
"8615 986772 2019-05-15 18:03:22 2019-05-15 18:03:22 浙A9FZ91 \n",
|
||
"8616 986711 2019-05-15 17:46:36 2019-05-15 17:46:36 皖BSX756 \n",
|
||
"8617 985366 2019-05-15 10:37:42 2019-05-15 10:37:42 皖BW817Y \n",
|
||
"8618 988962 2019-05-04 14:27:59 2019-05-04 14:27:59 皖BFW586 \n",
|
||
"\n",
|
||
" customerName customerPhone isMember paymentAmount paymentType \n",
|
||
"0 安徽紫照建筑节能装饰股份有限公司 13855383788 True 820.0 WECHAT_PAY \\\n",
|
||
"1 黄祥阳 18949537203 True 13600.0 WECHAT_PAY \n",
|
||
"2 许 13515538033 True 2400.0 WECHAT_PAY \n",
|
||
"3 孙总 18817929291 True 260.0 WECHAT_PAY \n",
|
||
"4 海军 18534558647 True 2240.0 WECHAT_PAY \n",
|
||
"... ... ... ... ... ... \n",
|
||
"8614 现代 13000000000 True 320.0 WECHAT_PAY \n",
|
||
"8615 福特 15755381982 True 510.0 WECHAT_PAY \n",
|
||
"8616 陈 15255313882 True 180.0 WECHAT_PAY \n",
|
||
"8617 叶先生 13955375398 True 260.0 WECHAT_PAY \n",
|
||
"8618 马自达 18755327782 True 350.0 WECHAT_PAY \n",
|
||
"\n",
|
||
" salesChannels ... sourceRecordId deductionAmount \n",
|
||
"0 STORE ... eef81256760343f6b567616ea2edd694 0.0 \\\n",
|
||
"1 STORE ... 31f08ba597954cbebd404696abf6ad24 0.0 \n",
|
||
"2 STORE ... fcf165dfb8444eca88c7d933f0fff755 0.0 \n",
|
||
"3 STORE ... 44d7fb59bd114b1897aac3e196985b9d 0.0 \n",
|
||
"4 STORE ... 60b2dc25b75140f3a306c17bcc6fd693 0.0 \n",
|
||
"... ... ... ... ... \n",
|
||
"8614 STORE ... b0f917d3c2124a26ad32aca4a2953e30 0.0 \n",
|
||
"8615 STORE ... 787cb784dea341dab26da58908726478 0.0 \n",
|
||
"8616 STORE ... 7992bb444d904c9485b99f3e1cac8f68 0.0 \n",
|
||
"8617 STORE ... c59a4902cbdd441dafcabc64d92996e0 0.0 \n",
|
||
"8618 STORE ... b120f86bc28d4c679e02221e83f4eb24 0.0 \n",
|
||
"\n",
|
||
" totalAmount couponId memberId mallOrderId \n",
|
||
"0 820.0 None 742c26f8a61041efb5ccdbfd13d37506 None \\\n",
|
||
"1 13600.0 None 1bbc937b91da474bb24a177def377608 None \n",
|
||
"2 2400.0 None 309819bfa2454730b77e9e25c088c78e None \n",
|
||
"3 260.0 None e6beeb9605054648a19c873a714c5f13 None \n",
|
||
"4 2240.0 None 5a63766fe94843bf88e0e8daec9ea72d None \n",
|
||
"... ... ... ... ... \n",
|
||
"8614 320.0 None ef63008c44494fbdbbfb666404d28b0a None \n",
|
||
"8615 510.0 None 713a54ab2c184ee9a68a965defdf149b None \n",
|
||
"8616 180.0 None a847f1fc5e714789a07864f2ff967609 None \n",
|
||
"8617 260.0 None 30ec6199c2d74085a6e7a79a0e74f372 None \n",
|
||
"8618 350.0 None a1b11bcffb9c48d396b84024db5dbba1 None \n",
|
||
"\n",
|
||
" couponName operatorName sourceSerialNumber licensePlateImage \n",
|
||
"0 None 滕栋银 GD20230829161250148WD2W None \n",
|
||
"1 None 滕栋银 GD20231028134336297Q62P None \n",
|
||
"2 None 滕栋银 GD20231202143857684XMMD None \n",
|
||
"3 None 滕栋银 GD20231206131413655UOCK None \n",
|
||
"4 None 滕栋银 GD20231211143947654YA4Z None \n",
|
||
"... ... ... ... ... \n",
|
||
"8614 None 滕栋银 GD20190515182001711TRVB None \n",
|
||
"8615 None 滕栋银 GD20190515180205496ULJE None \n",
|
||
"8616 None 滕栋银 GD20190515173912365FWHB None \n",
|
||
"8617 None 滕栋银 GD20190515103724308BNVA None \n",
|
||
"8618 None 滕栋银 GD20190516142720311MXJC None \n",
|
||
"\n",
|
||
"[8619 rows x 27 columns]"
|
||
]
|
||
},
|
||
"execution_count": 19,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"all_data"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 20,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"<ipython-input-20-a6ec365d04f4>:1: UserWarning: Pandas requires version '1.4.3' or newer of 'xlsxwriter' (version '1.3.8' currently installed).\n",
|
||
" all_data.to_excel(r'C:\\Users\\admin\\Downloads\\好店长消费流水.xlsx')\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"all_data.to_excel(r'C:\\Users\\admin\\Downloads\\好店长消费流水.xlsx')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"ename": "KeyError",
|
||
"evalue": "'data'",
|
||
"output_type": "error",
|
||
"traceback": [
|
||
"\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
|
||
"\u001B[1;31mKeyError\u001B[0m Traceback (most recent call last)",
|
||
"Cell \u001B[1;32mIn[11], line 1\u001B[0m\n\u001B[1;32m----> 1\u001B[0m strele1[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mdata\u001B[39m\u001B[38;5;124m'\u001B[39m][a]\n",
|
||
"\u001B[1;31mKeyError\u001B[0m: 'data'"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"strele1['data'][a]"
|
||
]
|
||
},
|
||
{
|
||
"metadata": {},
|
||
"cell_type": "markdown",
|
||
"source": "好店长剩余套餐\n"
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-02-07T08:34:16.256019Z",
|
||
"start_time": "2025-02-07T08:34:09.430892Z"
|
||
}
|
||
},
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import requests\n",
|
||
"import json\n",
|
||
"import math\n",
|
||
"import xlrd\n",
|
||
"from pprint import pprint\n",
|
||
"from tqdm import tqdm\n",
|
||
"\n",
|
||
"headers = {\n",
|
||
" 'Accept': 'application/json, text/javascript, */*; q=0.01',\n",
|
||
" 'Accept-Encoding': 'gzip, deflate, br, zstd',\n",
|
||
" 'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',\n",
|
||
" 'Authorization': 'bearer 971e3757-cecd-47d1-8246-77274fbf3e0e', # 修改\n",
|
||
" 'Clienttype': 'GOOD_MANAGER_PRO',\n",
|
||
" 'Content-Length': '199',\n",
|
||
" 'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',\n",
|
||
" 'Origin': 'https://vip.365hdz.com',\n",
|
||
" 'Priority': 'u=1, i',\n",
|
||
" 'Referer': 'https://vip.365hdz.com/',\n",
|
||
" 'Sec-Ch-Ua': '\"Not A(Brand\";v=\"8\", \"Chromium\";v=\"132\", \"Microsoft Edge\";v=\"132\"',\n",
|
||
" 'Sec-Ch-Ua-Mobile': '?0',\n",
|
||
" 'Sec-Ch-Ua-Platform': '\"Windows\"',\n",
|
||
" 'Sec-Fetch-Dest': 'empty',\n",
|
||
" 'Sec-Fetch-Mode': 'cors',\n",
|
||
" 'Sec-Fetch-Site': 'same-site',\n",
|
||
" 'Storeid': 'c1a6a754864d449fb03fe913f41b8f5e', # 修改\n",
|
||
" 'Storename': '%E4%B8%8B%E5%A1%98%E8%80%81%E5%85%B5%E6%B1%BD%E8%BD%A6%E6%9C%8D%E5%8A%A1%E4%B8%AD%E5%BF%83', # 修改\n",
|
||
" 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/132.0.0.0 Safari/537.36 Edg/132.0.0.0',\n",
|
||
" 'X-Client-Id': 'HDZ_PRO_PC'\n",
|
||
"}\n",
|
||
"\n",
|
||
"# 创建一个空的DataFrame\n",
|
||
"all_data = pd.DataFrame()\n",
|
||
"start = 0\n",
|
||
"page = 0\n",
|
||
"for i in tqdm(range(0, 15)):\n",
|
||
" json1 = {\n",
|
||
" 'draw': 11,\n",
|
||
" 'start': start,\n",
|
||
" 'length': 11,\n",
|
||
" 'desc': 'false',\n",
|
||
" 'page': page,\n",
|
||
" 'size': 11,\n",
|
||
" 'sourceHdzId': 'c1a6a754864d449fb03fe913f41b8f5e',\n",
|
||
" 'paymentType': '',\n",
|
||
" 'midDate': '2009-01-01 00:00:00',\n",
|
||
" 'endDate': '2024-08-24 23:59:59',\n",
|
||
" 'sourceType': '',\n",
|
||
" 'customerName': '',\n",
|
||
" 'customerPhone': '',\n",
|
||
" 'customerLicensePlate': '',\n",
|
||
" 'sourceName': ''\n",
|
||
" }\n",
|
||
" url = 'https://api.365hdz.com/basic/customers/countercardlist/data.js'\n",
|
||
" res1 = requests.post(url, headers=headers, data=json1)\n",
|
||
" strele1 = res1.json()\n",
|
||
" start = start + 11\n",
|
||
" page = page + 1\n",
|
||
" for a in range(0, 11):\n",
|
||
" data_list = [strele1['data'][a]]\n",
|
||
" df_new1 = pd.DataFrame(data_list)\n",
|
||
" # 将当前接口的数据添加到总数据中\n",
|
||
" all_data = all_data._append(df_new1, ignore_index=True)\n",
|
||
" # print(i)\n",
|
||
"all_data.to_excel(r'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\好店长剩余套餐-15212771219.xlsx')\n",
|
||
"\n",
|
||
"# all_data.to_excel(r'C:\\Users\\admin\\Downloads\\好店长消费流水,{}.xlsx'.format(page))\n",
|
||
"\n"
|
||
],
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" 60%|██████ | 9/15 [00:06<00:04, 1.34it/s]\n"
|
||
]
|
||
},
|
||
{
|
||
"ename": "IndexError",
|
||
"evalue": "list index out of range",
|
||
"output_type": "error",
|
||
"traceback": [
|
||
"\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
|
||
"\u001B[1;31mIndexError\u001B[0m Traceback (most recent call last)",
|
||
"Cell \u001B[1;32mIn[4], line 60\u001B[0m\n\u001B[0;32m 58\u001B[0m page \u001B[38;5;241m=\u001B[39m page \u001B[38;5;241m+\u001B[39m \u001B[38;5;241m1\u001B[39m\n\u001B[0;32m 59\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m a \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mrange\u001B[39m(\u001B[38;5;241m0\u001B[39m,\u001B[38;5;241m11\u001B[39m):\n\u001B[1;32m---> 60\u001B[0m data_list \u001B[38;5;241m=\u001B[39m [strele1[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mdata\u001B[39m\u001B[38;5;124m'\u001B[39m][a]]\n\u001B[0;32m 61\u001B[0m df_new1 \u001B[38;5;241m=\u001B[39m pd\u001B[38;5;241m.\u001B[39mDataFrame(data_list)\n\u001B[0;32m 62\u001B[0m \u001B[38;5;66;03m# 将当前接口的数据添加到总数据中\u001B[39;00m\n",
|
||
"\u001B[1;31mIndexError\u001B[0m: list index out of range"
|
||
]
|
||
}
|
||
],
|
||
"execution_count": 4
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-02-07T08:34:30.411437Z",
|
||
"start_time": "2025-02-07T08:34:30.116759Z"
|
||
}
|
||
},
|
||
"source": "all_data.to_excel(r'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\好店长剩余套餐-15212771219.xlsx')",
|
||
"outputs": [],
|
||
"execution_count": 5
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2026-03-19T07:25:59.945557200Z",
|
||
"start_time": "2026-03-19T07:19:53.045101500Z"
|
||
}
|
||
},
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import requests\n",
|
||
"import json\n",
|
||
"import math\n",
|
||
"import xlrd\n",
|
||
"from pprint import pprint\n",
|
||
"\n",
|
||
"headers = {\n",
|
||
" 'accept': 'application/json, text/javascript, */*; q=0.01',\n",
|
||
" 'accept-language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',\n",
|
||
" 'authorization': 'bearer 21143f27-ffdc-4727-aae0-ff9b8447f70a',\n",
|
||
" 'clienttype': 'GOOD_MANAGER_PRO',\n",
|
||
" 'content-type': 'application/x-www-form-urlencoded; charset=UTF-8',\n",
|
||
" 'origin': 'https://vip.365hdz.com',\n",
|
||
" 'priority': 'u=1, i',\n",
|
||
" 'referer': 'https://vip.365hdz.com/',\n",
|
||
" 'sec-ch-ua': '\"Chromium\";v=\"146\", \"Not-A.Brand\";v=\"24\", \"Microsoft Edge\";v=\"146\"',\n",
|
||
" 'sec-ch-ua-mobile': '?0',\n",
|
||
" 'sec-ch-ua-platform': '\"Windows\"',\n",
|
||
" 'sec-fetch-dest': 'empty',\n",
|
||
" 'sec-fetch-mode': 'cors',\n",
|
||
" 'sec-fetch-site': 'same-site',\n",
|
||
" 'storeid': '0e9bd7a80f8d4587ab5e01179fcb132a',\n",
|
||
" 'storename': '%E5%90%AF%E6%A2%A6%E6%B1%BD%E8%BD%A6%E6%9C%8D%E5%8A%A1%E4%B8%AD%E5%BF%83',\n",
|
||
" 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/146.0.0.0 Safari/537.36 Edg/146.0.0.0',\n",
|
||
" 'x-client-id': 'HDZ_PRO_PC',\n",
|
||
"}\n",
|
||
"\n",
|
||
"# 创建一个空的DataFrame\n",
|
||
"all_data = pd.DataFrame()\n",
|
||
"start = 0\n",
|
||
"page = 0\n",
|
||
"for i in range(0, 958):\n",
|
||
" json1 = {\n",
|
||
" 'draw': 10,\n",
|
||
" 'start': start,\n",
|
||
" 'length': 10,\n",
|
||
" 'desc': 'false',\n",
|
||
" 'page': page,\n",
|
||
" 'size': 10,\n",
|
||
" 'paymentType': '',\n",
|
||
" 'midDate': '2009-01-01 00:00:00',\n",
|
||
" 'endDate': '2026-08-24 23:59:59',\n",
|
||
" 'sourceType': '',\n",
|
||
" 'customerName': '',\n",
|
||
" 'customerPhone': '',\n",
|
||
" 'customerLicensePlate': '',\n",
|
||
" 'sourceName': ''\n",
|
||
" }\n",
|
||
" url = 'https://api.365hdz.com/basic/customers/countercardlist/data.js'\n",
|
||
" res1 = requests.post(url, headers=headers, data=json1)\n",
|
||
" strele1 = res1.json()\n",
|
||
" page_len = len(strele1['data'])\n",
|
||
" start = start + page_len\n",
|
||
" page = page + 1\n",
|
||
" for a in range(0, page_len):\n",
|
||
" data_list = [strele1['data'][a]]\n",
|
||
" df_new1 = pd.DataFrame(data_list)\n",
|
||
" # 将当前接口的数据添加到总数据中\n",
|
||
" all_data = all_data._append(df_new1, ignore_index=True)\n",
|
||
" print(i)\n",
|
||
"all_data.to_excel(r'D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\好店长剩余套餐-1.xlsx')\n",
|
||
"\n",
|
||
"# all_data.to_excel(r'C:\\Users\\admin\\Downloads\\好店长消费流水,{}.xlsx'.format(page))\n",
|
||
"\n"
|
||
],
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
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||
]
|
||
},
|
||
{
|
||
"ename": "KeyboardInterrupt",
|
||
"evalue": "",
|
||
"output_type": "error",
|
||
"traceback": [
|
||
"\u001B[31m---------------------------------------------------------------------------\u001B[39m",
|
||
"\u001B[31mKeyboardInterrupt\u001B[39m Traceback (most recent call last)",
|
||
"\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[4]\u001B[39m\u001B[32m, line 51\u001B[39m\n\u001B[32m 34\u001B[39m json1={\n\u001B[32m 35\u001B[39m \u001B[33m'\u001B[39m\u001B[33mdraw\u001B[39m\u001B[33m'\u001B[39m: \u001B[32m11\u001B[39m,\n\u001B[32m 36\u001B[39m \u001B[33m'\u001B[39m\u001B[33mstart\u001B[39m\u001B[33m'\u001B[39m: start,\n\u001B[32m (...)\u001B[39m\u001B[32m 48\u001B[39m \u001B[33m'\u001B[39m\u001B[33msourceName\u001B[39m\u001B[33m'\u001B[39m: \u001B[33m'\u001B[39m\u001B[33m'\u001B[39m\n\u001B[32m 49\u001B[39m }\n\u001B[32m 50\u001B[39m url = \u001B[33m'\u001B[39m\u001B[33mhttps://api.365hdz.com/basic/customers/countercardlist/data.js\u001B[39m\u001B[33m'\u001B[39m\n\u001B[32m---> \u001B[39m\u001B[32m51\u001B[39m res1 = \u001B[43mrequests\u001B[49m\u001B[43m.\u001B[49m\u001B[43mpost\u001B[49m\u001B[43m(\u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m=\u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m,\u001B[49m\u001B[43mdata\u001B[49m\u001B[43m=\u001B[49m\u001B[43mjson1\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 52\u001B[39m strele1 = res1.json()\n\u001B[32m 53\u001B[39m page_len = \u001B[38;5;28mlen\u001B[39m(strele1[\u001B[33m'\u001B[39m\u001B[33mdata\u001B[39m\u001B[33m'\u001B[39m])\n",
|
||
"\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\requests\\api.py:115\u001B[39m, in \u001B[36mpost\u001B[39m\u001B[34m(url, data, json, **kwargs)\u001B[39m\n\u001B[32m 103\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34mpost\u001B[39m(url, data=\u001B[38;5;28;01mNone\u001B[39;00m, json=\u001B[38;5;28;01mNone\u001B[39;00m, **kwargs):\n\u001B[32m 104\u001B[39m \u001B[38;5;250m \u001B[39m\u001B[33mr\u001B[39m\u001B[33;03m\"\"\"Sends a POST request.\u001B[39;00m\n\u001B[32m 105\u001B[39m \n\u001B[32m 106\u001B[39m \u001B[33;03m :param url: URL for the new :class:`Request` object.\u001B[39;00m\n\u001B[32m (...)\u001B[39m\u001B[32m 112\u001B[39m \u001B[33;03m :rtype: requests.Response\u001B[39;00m\n\u001B[32m 113\u001B[39m \u001B[33;03m \"\"\"\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m115\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mrequest\u001B[49m\u001B[43m(\u001B[49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43mpost\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdata\u001B[49m\u001B[43m=\u001B[49m\u001B[43mdata\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mjson\u001B[49m\u001B[43m=\u001B[49m\u001B[43mjson\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n",
|
||
"\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\requests\\api.py:59\u001B[39m, in \u001B[36mrequest\u001B[39m\u001B[34m(method, url, **kwargs)\u001B[39m\n\u001B[32m 55\u001B[39m \u001B[38;5;66;03m# By using the 'with' statement we are sure the session is closed, thus we\u001B[39;00m\n\u001B[32m 56\u001B[39m \u001B[38;5;66;03m# avoid leaving sockets open which can trigger a ResourceWarning in some\u001B[39;00m\n\u001B[32m 57\u001B[39m \u001B[38;5;66;03m# cases, and look like a memory leak in others.\u001B[39;00m\n\u001B[32m 58\u001B[39m \u001B[38;5;28;01mwith\u001B[39;00m sessions.Session() \u001B[38;5;28;01mas\u001B[39;00m session:\n\u001B[32m---> \u001B[39m\u001B[32m59\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43msession\u001B[49m\u001B[43m.\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m(\u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m=\u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43murl\u001B[49m\u001B[43m=\u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n",
|
||
"\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\requests\\sessions.py:589\u001B[39m, in \u001B[36mSession.request\u001B[39m\u001B[34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001B[39m\n\u001B[32m 584\u001B[39m send_kwargs = {\n\u001B[32m 585\u001B[39m \u001B[33m\"\u001B[39m\u001B[33mtimeout\u001B[39m\u001B[33m\"\u001B[39m: timeout,\n\u001B[32m 586\u001B[39m \u001B[33m\"\u001B[39m\u001B[33mallow_redirects\u001B[39m\u001B[33m\"\u001B[39m: allow_redirects,\n\u001B[32m 587\u001B[39m }\n\u001B[32m 588\u001B[39m send_kwargs.update(settings)\n\u001B[32m--> \u001B[39m\u001B[32m589\u001B[39m resp = \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43msend\u001B[49m\u001B[43m(\u001B[49m\u001B[43mprep\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43msend_kwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 591\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m resp\n",
|
||
"\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\requests\\sessions.py:703\u001B[39m, in \u001B[36mSession.send\u001B[39m\u001B[34m(self, request, **kwargs)\u001B[39m\n\u001B[32m 700\u001B[39m start = preferred_clock()\n\u001B[32m 702\u001B[39m \u001B[38;5;66;03m# Send the request\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m703\u001B[39m r = \u001B[43madapter\u001B[49m\u001B[43m.\u001B[49m\u001B[43msend\u001B[49m\u001B[43m(\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 705\u001B[39m \u001B[38;5;66;03m# Total elapsed time of the request (approximately)\u001B[39;00m\n\u001B[32m 706\u001B[39m elapsed = preferred_clock() - start\n",
|
||
"\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\requests\\adapters.py:644\u001B[39m, in \u001B[36mHTTPAdapter.send\u001B[39m\u001B[34m(self, request, stream, timeout, verify, cert, proxies)\u001B[39m\n\u001B[32m 641\u001B[39m timeout = TimeoutSauce(connect=timeout, read=timeout)\n\u001B[32m 643\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m644\u001B[39m resp = \u001B[43mconn\u001B[49m\u001B[43m.\u001B[49m\u001B[43murlopen\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 645\u001B[39m \u001B[43m \u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m=\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m.\u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 646\u001B[39m \u001B[43m \u001B[49m\u001B[43murl\u001B[49m\u001B[43m=\u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 647\u001B[39m \u001B[43m \u001B[49m\u001B[43mbody\u001B[49m\u001B[43m=\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m.\u001B[49m\u001B[43mbody\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 648\u001B[39m \u001B[43m \u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m=\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m.\u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 649\u001B[39m \u001B[43m \u001B[49m\u001B[43mredirect\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m 650\u001B[39m \u001B[43m \u001B[49m\u001B[43massert_same_host\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m 651\u001B[39m \u001B[43m \u001B[49m\u001B[43mpreload_content\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m 652\u001B[39m \u001B[43m \u001B[49m\u001B[43mdecode_content\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m 653\u001B[39m \u001B[43m \u001B[49m\u001B[43mretries\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mmax_retries\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 654\u001B[39m \u001B[43m \u001B[49m\u001B[43mtimeout\u001B[49m\u001B[43m=\u001B[49m\u001B[43mtimeout\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 655\u001B[39m \u001B[43m \u001B[49m\u001B[43mchunked\u001B[49m\u001B[43m=\u001B[49m\u001B[43mchunked\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 656\u001B[39m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 658\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m (ProtocolError, \u001B[38;5;167;01mOSError\u001B[39;00m) \u001B[38;5;28;01mas\u001B[39;00m err:\n\u001B[32m 659\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mConnectionError\u001B[39;00m(err, request=request)\n",
|
||
"\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\urllib3\\connectionpool.py:787\u001B[39m, in \u001B[36mHTTPConnectionPool.urlopen\u001B[39m\u001B[34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\u001B[39m\n\u001B[32m 784\u001B[39m response_conn = conn \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m release_conn \u001B[38;5;28;01melse\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m\n\u001B[32m 786\u001B[39m \u001B[38;5;66;03m# Make the request on the HTTPConnection object\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m787\u001B[39m response = \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_make_request\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 788\u001B[39m \u001B[43m \u001B[49m\u001B[43mconn\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 789\u001B[39m \u001B[43m \u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 790\u001B[39m \u001B[43m \u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 791\u001B[39m \u001B[43m \u001B[49m\u001B[43mtimeout\u001B[49m\u001B[43m=\u001B[49m\u001B[43mtimeout_obj\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 792\u001B[39m \u001B[43m \u001B[49m\u001B[43mbody\u001B[49m\u001B[43m=\u001B[49m\u001B[43mbody\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 793\u001B[39m \u001B[43m \u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m=\u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 794\u001B[39m \u001B[43m \u001B[49m\u001B[43mchunked\u001B[49m\u001B[43m=\u001B[49m\u001B[43mchunked\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 795\u001B[39m \u001B[43m \u001B[49m\u001B[43mretries\u001B[49m\u001B[43m=\u001B[49m\u001B[43mretries\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 796\u001B[39m \u001B[43m \u001B[49m\u001B[43mresponse_conn\u001B[49m\u001B[43m=\u001B[49m\u001B[43mresponse_conn\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 797\u001B[39m \u001B[43m \u001B[49m\u001B[43mpreload_content\u001B[49m\u001B[43m=\u001B[49m\u001B[43mpreload_content\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 798\u001B[39m \u001B[43m \u001B[49m\u001B[43mdecode_content\u001B[49m\u001B[43m=\u001B[49m\u001B[43mdecode_content\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 799\u001B[39m \u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mresponse_kw\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 800\u001B[39m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 802\u001B[39m \u001B[38;5;66;03m# Everything went great!\u001B[39;00m\n\u001B[32m 803\u001B[39m clean_exit = \u001B[38;5;28;01mTrue\u001B[39;00m\n",
|
||
"\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\urllib3\\connectionpool.py:534\u001B[39m, in \u001B[36mHTTPConnectionPool._make_request\u001B[39m\u001B[34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\u001B[39m\n\u001B[32m 532\u001B[39m \u001B[38;5;66;03m# Receive the response from the server\u001B[39;00m\n\u001B[32m 533\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m534\u001B[39m response = \u001B[43mconn\u001B[49m\u001B[43m.\u001B[49m\u001B[43mgetresponse\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 535\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m (BaseSSLError, \u001B[38;5;167;01mOSError\u001B[39;00m) \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[32m 536\u001B[39m \u001B[38;5;28mself\u001B[39m._raise_timeout(err=e, url=url, timeout_value=read_timeout)\n",
|
||
"\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\urllib3\\connection.py:571\u001B[39m, in \u001B[36mHTTPConnection.getresponse\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m 568\u001B[39m _shutdown = \u001B[38;5;28mgetattr\u001B[39m(\u001B[38;5;28mself\u001B[39m.sock, \u001B[33m\"\u001B[39m\u001B[33mshutdown\u001B[39m\u001B[33m\"\u001B[39m, \u001B[38;5;28;01mNone\u001B[39;00m)\n\u001B[32m 570\u001B[39m \u001B[38;5;66;03m# Get the response from http.client.HTTPConnection\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m571\u001B[39m httplib_response = \u001B[38;5;28;43msuper\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[43m.\u001B[49m\u001B[43mgetresponse\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 573\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m 574\u001B[39m assert_header_parsing(httplib_response.msg)\n",
|
||
"\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\http\\client.py:1450\u001B[39m, in \u001B[36mHTTPConnection.getresponse\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m 1448\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m 1449\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m-> \u001B[39m\u001B[32m1450\u001B[39m \u001B[43mresponse\u001B[49m\u001B[43m.\u001B[49m\u001B[43mbegin\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 1451\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mConnectionError\u001B[39;00m:\n\u001B[32m 1452\u001B[39m \u001B[38;5;28mself\u001B[39m.close()\n",
|
||
"\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\http\\client.py:336\u001B[39m, in \u001B[36mHTTPResponse.begin\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m 334\u001B[39m \u001B[38;5;66;03m# read until we get a non-100 response\u001B[39;00m\n\u001B[32m 335\u001B[39m \u001B[38;5;28;01mwhile\u001B[39;00m \u001B[38;5;28;01mTrue\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m336\u001B[39m version, status, reason = \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_read_status\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 337\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m status != CONTINUE:\n\u001B[32m 338\u001B[39m \u001B[38;5;28;01mbreak\u001B[39;00m\n",
|
||
"\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\http\\client.py:297\u001B[39m, in \u001B[36mHTTPResponse._read_status\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m 296\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34m_read_status\u001B[39m(\u001B[38;5;28mself\u001B[39m):\n\u001B[32m--> \u001B[39m\u001B[32m297\u001B[39m line = \u001B[38;5;28mstr\u001B[39m(\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mfp\u001B[49m\u001B[43m.\u001B[49m\u001B[43mreadline\u001B[49m\u001B[43m(\u001B[49m\u001B[43m_MAXLINE\u001B[49m\u001B[43m \u001B[49m\u001B[43m+\u001B[49m\u001B[43m \u001B[49m\u001B[32;43m1\u001B[39;49m\u001B[43m)\u001B[49m, \u001B[33m\"\u001B[39m\u001B[33miso-8859-1\u001B[39m\u001B[33m\"\u001B[39m)\n\u001B[32m 298\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mlen\u001B[39m(line) > _MAXLINE:\n\u001B[32m 299\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m LineTooLong(\u001B[33m\"\u001B[39m\u001B[33mstatus line\u001B[39m\u001B[33m\"\u001B[39m)\n",
|
||
"\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\socket.py:719\u001B[39m, in \u001B[36mSocketIO.readinto\u001B[39m\u001B[34m(self, b)\u001B[39m\n\u001B[32m 717\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m(\u001B[33m\"\u001B[39m\u001B[33mcannot read from timed out object\u001B[39m\u001B[33m\"\u001B[39m)\n\u001B[32m 718\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m719\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_sock\u001B[49m\u001B[43m.\u001B[49m\u001B[43mrecv_into\u001B[49m\u001B[43m(\u001B[49m\u001B[43mb\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 720\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m timeout:\n\u001B[32m 721\u001B[39m \u001B[38;5;28mself\u001B[39m._timeout_occurred = \u001B[38;5;28;01mTrue\u001B[39;00m\n",
|
||
"\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\ssl.py:1304\u001B[39m, in \u001B[36mSSLSocket.recv_into\u001B[39m\u001B[34m(self, buffer, nbytes, flags)\u001B[39m\n\u001B[32m 1300\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m flags != \u001B[32m0\u001B[39m:\n\u001B[32m 1301\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\n\u001B[32m 1302\u001B[39m \u001B[33m\"\u001B[39m\u001B[33mnon-zero flags not allowed in calls to recv_into() on \u001B[39m\u001B[38;5;132;01m%s\u001B[39;00m\u001B[33m\"\u001B[39m %\n\u001B[32m 1303\u001B[39m \u001B[38;5;28mself\u001B[39m.\u001B[34m__class__\u001B[39m)\n\u001B[32m-> \u001B[39m\u001B[32m1304\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mread\u001B[49m\u001B[43m(\u001B[49m\u001B[43mnbytes\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mbuffer\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 1305\u001B[39m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[32m 1306\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28msuper\u001B[39m().recv_into(buffer, nbytes, flags)\n",
|
||
"\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\ssl.py:1138\u001B[39m, in \u001B[36mSSLSocket.read\u001B[39m\u001B[34m(self, len, buffer)\u001B[39m\n\u001B[32m 1136\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m 1137\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m buffer \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[32m-> \u001B[39m\u001B[32m1138\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_sslobj\u001B[49m\u001B[43m.\u001B[49m\u001B[43mread\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mlen\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mbuffer\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 1139\u001B[39m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[32m 1140\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m._sslobj.read(\u001B[38;5;28mlen\u001B[39m)\n",
|
||
"\u001B[31mKeyboardInterrupt\u001B[39m: "
|
||
]
|
||
}
|
||
],
|
||
"execution_count": 4
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2026-03-19T07:26:06.751291400Z",
|
||
"start_time": "2026-03-19T07:26:06.409769500Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": "all_data.to_excel(r'D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\好店长剩余套餐-1.xlsx')",
|
||
"outputs": [],
|
||
"execution_count": 5
|
||
},
|
||
{
|
||
"metadata": {},
|
||
"cell_type": "code",
|
||
"outputs": [],
|
||
"execution_count": null,
|
||
"source": ""
|
||
},
|
||
{
|
||
"metadata": {},
|
||
"cell_type": "markdown",
|
||
"source": "工单信息"
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2026-03-19T08:52:47.412197900Z",
|
||
"start_time": "2026-03-19T08:44:31.270149Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"import requests\n",
|
||
"import pandas as pd\n",
|
||
"from requests.adapters import HTTPAdapter\n",
|
||
"from urllib3.util.retry import Retry\n",
|
||
"\n",
|
||
"def _get_safe_dict(data, key):\n",
|
||
" \"\"\"\n",
|
||
" 安全地获取嵌套字典。\n",
|
||
" 如果 key 不存在，返回 {}。\n",
|
||
" 如果 key 存在但值为 None，返回 {}。\n",
|
||
" 如果 key 存在且为字典，返回该字典。\n",
|
||
" \"\"\"\n",
|
||
" val = data.get(key)\n",
|
||
" if val is None:\n",
|
||
" return {}\n",
|
||
" if not isinstance(val, dict):\n",
|
||
" # 以防万一数据类型不是字典也不是None，强制转为空字典避免后续报错\n",
|
||
" return {}\n",
|
||
" return val\n",
|
||
"\n",
|
||
"def expand_workorder_details(data_list):\n",
|
||
" \"\"\"\n",
|
||
" 展开工单明细数据，将嵌套的对象展开为独立的列\n",
|
||
" \"\"\"\n",
|
||
" expanded_data = []\n",
|
||
"\n",
|
||
" for item in data_list:\n",
|
||
" # 基础字段\n",
|
||
" base_record = {\n",
|
||
" 'id': item.get('id'),\n",
|
||
" 'createDateTime': item.get('createDateTime'),\n",
|
||
" 'totalAmount': item.get('totalAmount'),\n",
|
||
" 'beforeDiscountTotalAmount': item.get('beforeDiscountTotalAmount'),\n",
|
||
" 'remark': item.get('remark'),\n",
|
||
" 'imgRemark': item.get('imgRemark'),\n",
|
||
" 'settlementDate': item.get('settlementDate'),\n",
|
||
" 'status': item.get('status'),\n",
|
||
" 'receiptVoucherId': item.get('receiptVoucherId'),\n",
|
||
" 'licensePlate': item.get('licensePlate'),\n",
|
||
" 'storeId': item.get('storeId'),\n",
|
||
" 'totalPaidAmount': item.get('totalPaidAmount'),\n",
|
||
" 'totalBalanceAmount': item.get('totalBalanceAmount'),\n",
|
||
" 'totalGrossProfitAmount': item.get('totalGrossProfitAmount'),\n",
|
||
" 'containsPurchaseOrder': item.get('containsPurchaseOrder'),\n",
|
||
" 'quotationDateTime': item.get('quotationDateTime'),\n",
|
||
" 'sendDateTime': item.get('sendDateTime'),\n",
|
||
" 'preDeductAmount': item.get('preDeductAmount'),\n",
|
||
" 'maintainOrder': item.get('maintainOrder')\n",
|
||
" }\n",
|
||
"\n",
|
||
" # --- 修复核心：使用 _get_safe_dict 处理所有可能为 None 的嵌套对象 ---\n",
|
||
"\n",
|
||
" # 操作员信息\n",
|
||
" operator_info = _get_safe_dict(item, 'operator')\n",
|
||
" base_record.update({\n",
|
||
" 'operatorId': operator_info.get('operatorId'),\n",
|
||
" 'operatorName': operator_info.get('operatorName'),\n",
|
||
" 'operatorStoreId': operator_info.get('operatorStoreId')\n",
|
||
" })\n",
|
||
"\n",
|
||
" # 创建者信息\n",
|
||
" creator_info = _get_safe_dict(item, 'creator')\n",
|
||
" base_record.update({\n",
|
||
" 'creatorId': creator_info.get('operatorId'),\n",
|
||
" 'creatorName': creator_info.get('operatorName'),\n",
|
||
" 'creatorStoreId': creator_info.get('operatorStoreId')\n",
|
||
" })\n",
|
||
"\n",
|
||
" # 结算会员卡信息 (报错点)\n",
|
||
" settlement_member_card = _get_safe_dict(item, 'settlementMemberCard')\n",
|
||
" base_record.update({\n",
|
||
" 'settlementMemberCardId': settlement_member_card.get('id'),\n",
|
||
" 'settlementCardNumber': settlement_member_card.get('cardNumber'),\n",
|
||
" 'settlementMemberCardType': settlement_member_card.get('memberCardType')\n",
|
||
" })\n",
|
||
"\n",
|
||
" # 结算客户信息\n",
|
||
" settlement_customer = _get_safe_dict(item, 'settlementCustomer')\n",
|
||
" base_record.update({\n",
|
||
" 'settlementCustomerId': settlement_customer.get('id'),\n",
|
||
" 'settlementCustomerName': settlement_customer.get('name'),\n",
|
||
" 'settlementContactName': settlement_customer.get('contactName'),\n",
|
||
" 'settlementContactTelephone': settlement_customer.get('contactTelephone'),\n",
|
||
" 'settlementCustomerCategory': settlement_customer.get('category'),\n",
|
||
" 'settlementCumulativeConsumeAmount': settlement_customer.get('cumulativeConsumeAmount'),\n",
|
||
" 'settlementCustomerGrade': settlement_customer.get('grade'),\n",
|
||
" 'settlementLastConsumeDatetime': settlement_customer.get('lastConsumeDatetime'),\n",
|
||
" 'settlementLastIntoStoreDatetime': settlement_customer.get('lastIntoStoreDatetime'),\n",
|
||
" 'settlementCustomerCreateDateTime': settlement_customer.get('createDateTime')\n",
|
||
" })\n",
|
||
"\n",
|
||
" # 消费会员卡信息\n",
|
||
" consume_member_card = _get_safe_dict(item, 'consumeMemberCard')\n",
|
||
" # 处理 consumeMemberCard 内部的 balance 字段，它也可能为 None\n",
|
||
" balance_info = _get_safe_dict(consume_member_card, 'balance')\n",
|
||
"\n",
|
||
" base_record.update({\n",
|
||
" 'consumeMemberCardId': consume_member_card.get('id'),\n",
|
||
" 'consumeCardNumber': consume_member_card.get('cardNumber'),\n",
|
||
" 'consumeMemberCardType': consume_member_card.get('memberCardType'),\n",
|
||
" 'consumeCardBalanceStoredAmount': balance_info.get('storedAmount'),\n",
|
||
" 'consumeCardBalanceGiftAmount': balance_info.get('giftAmount'),\n",
|
||
" 'consumeCardBalanceTotal': balance_info.get('balance'),\n",
|
||
" 'consumePreDeductAmount': consume_member_card.get('preDeductAmount'),\n",
|
||
" 'consumeAfterPreDeductAmount': consume_member_card.get('afterPreDeductAmount'),\n",
|
||
" 'consumeCumulativeStoredAmount': consume_member_card.get('cumulativeStoredAmount'),\n",
|
||
" 'consumeCumulativeGiftAmount': consume_member_card.get('cumulativeGiftAmount')\n",
|
||
" })\n",
|
||
"\n",
|
||
" # 消费客户信息\n",
|
||
" consume_customer = _get_safe_dict(item, 'consumeCustomer')\n",
|
||
" base_record.update({\n",
|
||
" 'consumeCustomerId': consume_customer.get('id'),\n",
|
||
" 'consumeCustomerName': consume_customer.get('name'),\n",
|
||
" 'consumeContactName': consume_customer.get('contactName'),\n",
|
||
" 'consumeContactTelephone': consume_customer.get('contactTelephone'),\n",
|
||
" 'consumeCustomerCategory': consume_customer.get('category'),\n",
|
||
" 'consumeCumulativeConsumeAmount': consume_customer.get('cumulativeConsumeAmount'),\n",
|
||
" 'consumeCustomerGrade': consume_customer.get('grade'),\n",
|
||
" 'consumeLastConsumeDatetime': consume_customer.get('lastConsumeDatetime'),\n",
|
||
" 'consumeLastIntoStoreDatetime': consume_customer.get('lastIntoStoreDatetime'),\n",
|
||
" 'consumeCustomerCreateDateTime': consume_customer.get('createDateTime')\n",
|
||
" })\n",
|
||
"\n",
|
||
" # 注册车辆信息\n",
|
||
" registered_vehicle = _get_safe_dict(item, 'registeredVehicle')\n",
|
||
" vehicle_owner = _get_safe_dict(registered_vehicle, 'vehicleOwner')\n",
|
||
" vehicle_info = _get_safe_dict(registered_vehicle, 'vehicle')\n",
|
||
" # 车辆牌照信息也可能嵌套且为 None\n",
|
||
" license_plate_info = _get_safe_dict(vehicle_info, 'licensePlate')\n",
|
||
"\n",
|
||
" base_record.update({\n",
|
||
" 'registeredVehicleId': registered_vehicle.get('id'),\n",
|
||
" 'vehicleOwnerId': vehicle_owner.get('id'),\n",
|
||
" 'vehicleOwnerName': vehicle_owner.get('name'),\n",
|
||
" 'vehicleOwnerMobilePhone': vehicle_owner.get('mobilePhone'),\n",
|
||
" 'vehicleOwnerAddress': vehicle_owner.get('address'),\n",
|
||
" 'vehicleOwnerBirthday': vehicle_owner.get('birthday'),\n",
|
||
" 'vehicleOwnerGender': vehicle_owner.get('gender'),\n",
|
||
" # 修复深层嵌套访问\n",
|
||
" 'vehicleLicensePlate': license_plate_info.get('number'),\n",
|
||
" 'vehicleBrandCode': vehicle_info.get('brandCode'),\n",
|
||
" 'vehicleBrandSeries': vehicle_info.get('brandSeries'),\n",
|
||
" 'vehicleColor': vehicle_info.get('color'),\n",
|
||
" 'vehicleEngineNumber': vehicle_info.get('engineNumber'),\n",
|
||
" 'vehicleFrameNumber': vehicle_info.get('frameNumber'),\n",
|
||
" 'vehicleInsuranceDate': vehicle_info.get('insuranceDate'),\n",
|
||
" 'vehicleCompulsoryInsuranceDate': vehicle_info.get('compulsoryInsuranceDate'),\n",
|
||
" 'vehicleLastMileage': vehicle_info.get('lastMileage'),\n",
|
||
" 'vehicleLicenseDate': vehicle_info.get('licenseDate'),\n",
|
||
" 'vehicleModel': vehicle_info.get('model'),\n",
|
||
" 'vehicleCarBrand': vehicle_info.get('carBrand'),\n",
|
||
" 'vehicleManufactureCn': vehicle_info.get('manufactureCn'),\n",
|
||
" 'vehicleNameCn': vehicle_info.get('vehicleNameCn'),\n",
|
||
" 'vehicleOfYear': vehicle_info.get('vehicleOfYear'),\n",
|
||
" 'vehicleMaintenanceMileage': vehicle_info.get('maintenanceMileage'),\n",
|
||
" 'vehicleMaintenanceTime': vehicle_info.get('maintenanceTime')\n",
|
||
" })\n",
|
||
"\n",
|
||
" # 工单项目信息\n",
|
||
" items = item.get('items')\n",
|
||
" # 确保 items 是列表，防止其为 None 导致迭代错误\n",
|
||
" if not isinstance(items, list):\n",
|
||
" items = []\n",
|
||
"\n",
|
||
" if items:\n",
|
||
" for item_detail in items:\n",
|
||
" # 复制基础记录信息\n",
|
||
" record = base_record.copy()\n",
|
||
"\n",
|
||
" # 添加项目详细信息\n",
|
||
" record.update({\n",
|
||
" 'itemId': item_detail.get('id') if isinstance(item_detail, dict) else None,\n",
|
||
" 'itemName': item_detail.get('name') if isinstance(item_detail, dict) else None,\n",
|
||
" 'itemRetailPrice': item_detail.get('retailPrice') if isinstance(item_detail, dict) else None,\n",
|
||
" 'itemOriginalPrice': item_detail.get('originalPrice') if isinstance(item_detail, dict) else None,\n",
|
||
" 'itemCostPrice': item_detail.get('costPrice') if isinstance(item_detail, dict) else None,\n",
|
||
" 'itemQuantity': item_detail.get('quantity') if isinstance(item_detail, dict) else None,\n",
|
||
" 'itemTotalAmount': item_detail.get('totalAmount') if isinstance(item_detail, dict) else None,\n",
|
||
" 'itemBeforeDiscountTotalAmount': item_detail.get('beforeDiscountTotalAmount') if isinstance(item_detail, dict) else None,\n",
|
||
" 'itemSaleSourceId': item_detail.get('saleSourceId') if isinstance(item_detail, dict) else None,\n",
|
||
" 'itemSaleCategory': item_detail.get('saleCategory') if isinstance(item_detail, dict) else None,\n",
|
||
" 'itemFromCounterCard': item_detail.get('fromCounterCard') if isinstance(item_detail, dict) else None,\n",
|
||
" 'itemContainsPurchaseOrder': item_detail.get('containsPurchaseOrder') if isinstance(item_detail, dict) else None,\n",
|
||
" 'itemCustomizedSupplierId': item_detail.get('customizedSupplierId') if isinstance(item_detail, dict) else None,\n",
|
||
" 'itemCustomizedSupplierName': item_detail.get('customizedSupplierName') if isinstance(item_detail, dict) else None,\n",
|
||
" 'itemRemark': item_detail.get('remark') if isinstance(item_detail, dict) else None\n",
|
||
" })\n",
|
||
"\n",
|
||
" expanded_data.append(record)\n",
|
||
" else:\n",
|
||
" # 如果没有项目，则仍保留基础记录\n",
|
||
" record = base_record.copy()\n",
|
||
" null_item_record = {\n",
|
||
" 'itemId': None,\n",
|
||
" 'itemName': None,\n",
|
||
" 'itemRetailPrice': None,\n",
|
||
" 'itemOriginalPrice': None,\n",
|
||
" 'itemCostPrice': None,\n",
|
||
" 'itemQuantity': None,\n",
|
||
" 'itemTotalAmount': None,\n",
|
||
" 'itemBeforeDiscountTotalAmount': None,\n",
|
||
" 'itemSaleSourceId': None,\n",
|
||
" 'itemSaleCategory': None,\n",
|
||
" 'itemFromCounterCard': None,\n",
|
||
" 'itemContainsPurchaseOrder': None,\n",
|
||
" 'itemCustomizedSupplierId': None,\n",
|
||
" 'itemCustomizedSupplierName': None,\n",
|
||
" 'itemRemark': None\n",
|
||
" }\n",
|
||
" record.update(null_item_record)\n",
|
||
" expanded_data.append(record)\n",
|
||
"\n",
|
||
" return expanded_data\n",
|
||
"\n",
|
||
"def fetch_all_workorders():\n",
|
||
" \"\"\"\n",
|
||
" 获取所有工单数据\n",
|
||
" \"\"\"\n",
|
||
" # 创建带重试机制的session，提高稳定性\n",
|
||
" session = requests.Session()\n",
|
||
" retry = Retry(\n",
|
||
" total=3,\n",
|
||
" backoff_factor=0.5,\n",
|
||
" status_forcelist=[429, 500, 502, 503, 504]\n",
|
||
" )\n",
|
||
" adapter = HTTPAdapter(max_retries=retry)\n",
|
||
" session.mount('https://', adapter)\n",
|
||
"\n",
|
||
" headers = {\n",
|
||
" 'accept': 'application/json, text/javascript, */*; q=0.01',\n",
|
||
" 'accept-language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',\n",
|
||
" 'authorization': 'bearer 21143f27-ffdc-4727-aae0-ff9b8447f70a',\n",
|
||
" 'clienttype': 'GOOD_MANAGER_PRO',\n",
|
||
" 'content-type': 'application/x-www-form-urlencoded; charset=UTF-8',\n",
|
||
" 'origin': 'https://vip.365hdz.com',\n",
|
||
" 'priority': 'u=1, i',\n",
|
||
" 'referer': 'https://vip.365hdz.com/',\n",
|
||
" 'sec-ch-ua': '\"Chromium\";v=\"146\", \"Not-A.Brand\";v=\"24\", \"Microsoft Edge\";v=\"146\"',\n",
|
||
" 'sec-ch-ua-mobile': '?0',\n",
|
||
" 'sec-ch-ua-platform': '\"Windows\"',\n",
|
||
" 'sec-fetch-dest': 'empty',\n",
|
||
" 'sec-fetch-mode': 'cors',\n",
|
||
" 'sec-fetch-site': 'same-site',\n",
|
||
" 'storeid': '0e9bd7a80f8d4587ab5e01179fcb132a',\n",
|
||
" 'storename': '%E5%90%AF%E6%A2%A6%E6%B1%BD%E8%BD%A6%E6%9C%8D%E5%8A%A1%E4%B8%AD%E5%BF%83',\n",
|
||
" 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/146.0.0.0 Safari/537.36 Edg/146.0.0.0',\n",
|
||
" 'x-client-id': 'HDZ_PRO_PC',\n",
|
||
" }\n",
|
||
"\n",
|
||
" data = {\n",
|
||
" 'draw': '3',\n",
|
||
" 'start': '0',\n",
|
||
" 'length': '12',\n",
|
||
" 'desc': 'false',\n",
|
||
" 'page': '0',\n",
|
||
" 'size': '12',\n",
|
||
" 'status': 'COMPLETED',\n",
|
||
" 'startDateTime': '',\n",
|
||
" 'endDateTime': '',\n",
|
||
" 'customerName': '',\n",
|
||
" 'customerTelephone': '',\n",
|
||
" 'licensePlate': '',\n",
|
||
" 'serviceName': '',\n",
|
||
" }\n",
|
||
"\n",
|
||
" all_data = []\n",
|
||
" total_records = 6621 # 根据API返回的总数\n",
|
||
" page_size = 12\n",
|
||
"\n",
|
||
" # 计算总页数\n",
|
||
" total_pages = (total_records // page_size) + (1 if total_records % page_size > 0 else 0)\n",
|
||
"\n",
|
||
" print(f\"总共需要获取 {total_pages} 页数据...\")\n",
|
||
"\n",
|
||
" for i in range(total_pages):\n",
|
||
" print(f\"正在获取第 {i+1} 页数据...\")\n",
|
||
" data['start'] = str(i * page_size)\n",
|
||
" data['page'] = str(i)\n",
|
||
"\n",
|
||
" try:\n",
|
||
" response = session.post('https://api.365hdz.com/basic/workorders/data.js', headers=headers, data=data, timeout=30)\n",
|
||
" response.raise_for_status()\n",
|
||
"\n",
|
||
" json_data = response.json()\n",
|
||
" page_data = json_data.get('data', [])\n",
|
||
"\n",
|
||
" if not page_data:\n",
|
||
" print(f\"第 {i+1} 页没有数据，停止获取\")\n",
|
||
" break\n",
|
||
"\n",
|
||
" all_data.extend(page_data)\n",
|
||
" print(f\"已获取第 {i+1} 页数据，当前总计 {len(all_data)} 条记录\")\n",
|
||
"\n",
|
||
" except requests.exceptions.RequestException as e:\n",
|
||
" print(f\"获取第 {i+1} 页数据失败: {e}\")\n",
|
||
" continue\n",
|
||
"\n",
|
||
" print(f\"数据获取完成，总计 {len(all_data)} 条记录\")\n",
|
||
" return all_data\n",
|
||
"\n",
|
||
"def main():\n",
|
||
" \"\"\"\n",
|
||
" 主函数\n",
|
||
" \"\"\"\n",
|
||
" # 1. 获取原始工单数据\n",
|
||
" raw_data = fetch_all_workorders()\n",
|
||
"\n",
|
||
" if not raw_data:\n",
|
||
" print(\"未获取到任何数据，程序结束。\")\n",
|
||
" return\n",
|
||
"\n",
|
||
" # 2. 关键修复：调用展开函数处理原始数据\n",
|
||
" # 现在这个函数内部已经处理了 None 值的情况\n",
|
||
" expanded_data = expand_workorder_details(raw_data)\n",
|
||
"\n",
|
||
" # 3. 创建DataFrame\n",
|
||
" df = pd.DataFrame(expanded_data)\n",
|
||
"\n",
|
||
" # 输出到Excel文件\n",
|
||
" output_path = \"D:/Idea Project/F6+宜搭+其它(1)/张阳脚本/文件输出/好店长工单列表-展开明细.xlsx\"\n",
|
||
"\n",
|
||
" # 使用ExcelWriter避免大数据量写入问题\n",
|
||
" try:\n",
|
||
" with pd.ExcelWriter(output_path, engine='openpyxl') as writer:\n",
|
||
" df.to_excel(writer, index=False, sheet_name='工单明细')\n",
|
||
" print(f\"数据已保存到: {output_path}\")\n",
|
||
" print(f\"共生成 {len(df)} 行数据\")\n",
|
||
"\n",
|
||
" # 显示前几行数据供查看\n",
|
||
" print(\"\\n前5行数据预览:\")\n",
|
||
" print(df.head())\n",
|
||
"\n",
|
||
" # 显示列名\n",
|
||
" print(f\"\\n共有 {len(df.columns)} 列:\")\n",
|
||
" # 只打印前20个列名，避免输出太长\n",
|
||
" print(df.columns.tolist()[:20], \"...\")\n",
|
||
" except Exception as e:\n",
|
||
" print(f\"保存文件时出错: {e}\")\n",
|
||
" # 如果路径有问题，尝试保存到当前目录\n",
|
||
" fallback_path = \"workorders_export.xlsx\"\n",
|
||
" print(f\"尝试保存到当前目录: {fallback_path}\")\n",
|
||
" df.to_excel(fallback_path, index=False)\n",
|
||
" print(f\"数据已备用保存到: {fallback_path}\")\n",
|
||
"\n",
|
||
"if __name__ == \"__main__\":\n",
|
||
" main()"
|
||
],
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"总共需要获取 552 页数据...\n",
|
||
"正在获取第 1 页数据...\n",
|
||
"已获取第 1 页数据，当前总计 12 条记录\n",
|
||
"正在获取第 2 页数据...\n",
|
||
"已获取第 2 页数据，当前总计 24 条记录\n",
|
||
"正在获取第 3 页数据...\n",
|
||
"已获取第 3 页数据，当前总计 36 条记录\n",
|
||
"正在获取第 4 页数据...\n",
|
||
"已获取第 4 页数据，当前总计 48 条记录\n",
|
||
"正在获取第 5 页数据...\n",
|
||
"已获取第 5 页数据，当前总计 60 条记录\n",
|
||
"正在获取第 6 页数据...\n",
|
||
"已获取第 6 页数据，当前总计 72 条记录\n",
|
||
"正在获取第 7 页数据...\n",
|
||
"已获取第 7 页数据，当前总计 84 条记录\n",
|
||
"正在获取第 8 页数据...\n",
|
||
"已获取第 8 页数据，当前总计 96 条记录\n",
|
||
"正在获取第 9 页数据...\n",
|
||
"已获取第 9 页数据，当前总计 108 条记录\n",
|
||
"正在获取第 10 页数据...\n",
|
||
"已获取第 10 页数据，当前总计 120 条记录\n",
|
||
"正在获取第 11 页数据...\n",
|
||
"已获取第 11 页数据，当前总计 132 条记录\n",
|
||
"正在获取第 12 页数据...\n",
|
||
"已获取第 12 页数据，当前总计 144 条记录\n",
|
||
"正在获取第 13 页数据...\n",
|
||
"已获取第 13 页数据，当前总计 156 条记录\n",
|
||
"正在获取第 14 页数据...\n",
|
||
"已获取第 14 页数据，当前总计 168 条记录\n",
|
||
"正在获取第 15 页数据...\n",
|
||
"已获取第 15 页数据，当前总计 180 条记录\n",
|
||
"正在获取第 16 页数据...\n",
|
||
"已获取第 16 页数据，当前总计 192 条记录\n",
|
||
"正在获取第 17 页数据...\n",
|
||
"已获取第 17 页数据，当前总计 204 条记录\n",
|
||
"正在获取第 18 页数据...\n",
|
||
"已获取第 18 页数据，当前总计 216 条记录\n",
|
||
"正在获取第 19 页数据...\n",
|
||
"已获取第 19 页数据，当前总计 228 条记录\n",
|
||
"正在获取第 20 页数据...\n",
|
||
"已获取第 20 页数据，当前总计 240 条记录\n",
|
||
"正在获取第 21 页数据...\n",
|
||
"已获取第 21 页数据，当前总计 252 条记录\n",
|
||
"正在获取第 22 页数据...\n",
|
||
"已获取第 22 页数据，当前总计 264 条记录\n",
|
||
"正在获取第 23 页数据...\n",
|
||
"已获取第 23 页数据，当前总计 276 条记录\n",
|
||
"正在获取第 24 页数据...\n",
|
||
"已获取第 24 页数据，当前总计 288 条记录\n",
|
||
"正在获取第 25 页数据...\n",
|
||
"已获取第 25 页数据，当前总计 300 条记录\n",
|
||
"正在获取第 26 页数据...\n",
|
||
"已获取第 26 页数据，当前总计 312 条记录\n",
|
||
"正在获取第 27 页数据...\n",
|
||
"已获取第 27 页数据，当前总计 324 条记录\n",
|
||
"正在获取第 28 页数据...\n",
|
||
"已获取第 28 页数据，当前总计 336 条记录\n",
|
||
"正在获取第 29 页数据...\n",
|
||
"已获取第 29 页数据，当前总计 348 条记录\n",
|
||
"正在获取第 30 页数据...\n",
|
||
"已获取第 30 页数据，当前总计 360 条记录\n",
|
||
"正在获取第 31 页数据...\n",
|
||
"已获取第 31 页数据，当前总计 372 条记录\n",
|
||
"正在获取第 32 页数据...\n",
|
||
"已获取第 32 页数据，当前总计 384 条记录\n",
|
||
"正在获取第 33 页数据...\n",
|
||
"已获取第 33 页数据，当前总计 396 条记录\n",
|
||
"正在获取第 34 页数据...\n",
|
||
"已获取第 34 页数据，当前总计 408 条记录\n",
|
||
"正在获取第 35 页数据...\n",
|
||
"已获取第 35 页数据，当前总计 420 条记录\n",
|
||
"正在获取第 36 页数据...\n",
|
||
"已获取第 36 页数据，当前总计 432 条记录\n",
|
||
"正在获取第 37 页数据...\n",
|
||
"已获取第 37 页数据，当前总计 444 条记录\n",
|
||
"正在获取第 38 页数据...\n",
|
||
"已获取第 38 页数据，当前总计 456 条记录\n",
|
||
"正在获取第 39 页数据...\n",
|
||
"已获取第 39 页数据，当前总计 468 条记录\n",
|
||
"正在获取第 40 页数据...\n",
|
||
"已获取第 40 页数据，当前总计 480 条记录\n",
|
||
"正在获取第 41 页数据...\n",
|
||
"已获取第 41 页数据，当前总计 492 条记录\n",
|
||
"正在获取第 42 页数据...\n",
|
||
"已获取第 42 页数据，当前总计 504 条记录\n",
|
||
"正在获取第 43 页数据...\n",
|
||
"已获取第 43 页数据，当前总计 516 条记录\n",
|
||
"正在获取第 44 页数据...\n",
|
||
"已获取第 44 页数据，当前总计 528 条记录\n",
|
||
"正在获取第 45 页数据...\n",
|
||
"已获取第 45 页数据，当前总计 540 条记录\n",
|
||
"正在获取第 46 页数据...\n",
|
||
"已获取第 46 页数据，当前总计 552 条记录\n",
|
||
"正在获取第 47 页数据...\n",
|
||
"已获取第 47 页数据，当前总计 564 条记录\n",
|
||
"正在获取第 48 页数据...\n",
|
||
"已获取第 48 页数据，当前总计 576 条记录\n",
|
||
"正在获取第 49 页数据...\n",
|
||
"已获取第 49 页数据，当前总计 588 条记录\n",
|
||
"正在获取第 50 页数据...\n",
|
||
"已获取第 50 页数据，当前总计 600 条记录\n",
|
||
"正在获取第 51 页数据...\n",
|
||
"已获取第 51 页数据，当前总计 612 条记录\n",
|
||
"正在获取第 52 页数据...\n",
|
||
"已获取第 52 页数据，当前总计 624 条记录\n",
|
||
"正在获取第 53 页数据...\n",
|
||
"已获取第 53 页数据，当前总计 636 条记录\n",
|
||
"正在获取第 54 页数据...\n",
|
||
"已获取第 54 页数据，当前总计 648 条记录\n",
|
||
"正在获取第 55 页数据...\n",
|
||
"已获取第 55 页数据，当前总计 660 条记录\n",
|
||
"正在获取第 56 页数据...\n",
|
||
"已获取第 56 页数据，当前总计 672 条记录\n",
|
||
"正在获取第 57 页数据...\n",
|
||
"已获取第 57 页数据，当前总计 684 条记录\n",
|
||
"正在获取第 58 页数据...\n",
|
||
"已获取第 58 页数据，当前总计 696 条记录\n",
|
||
"正在获取第 59 页数据...\n",
|
||
"已获取第 59 页数据，当前总计 708 条记录\n",
|
||
"正在获取第 60 页数据...\n",
|
||
"已获取第 60 页数据，当前总计 720 条记录\n",
|
||
"正在获取第 61 页数据...\n",
|
||
"已获取第 61 页数据，当前总计 732 条记录\n",
|
||
"正在获取第 62 页数据...\n",
|
||
"已获取第 62 页数据，当前总计 744 条记录\n",
|
||
"正在获取第 63 页数据...\n",
|
||
"已获取第 63 页数据，当前总计 756 条记录\n",
|
||
"正在获取第 64 页数据...\n",
|
||
"已获取第 64 页数据，当前总计 768 条记录\n",
|
||
"正在获取第 65 页数据...\n",
|
||
"已获取第 65 页数据，当前总计 780 条记录\n",
|
||
"正在获取第 66 页数据...\n",
|
||
"已获取第 66 页数据，当前总计 792 条记录\n",
|
||
"正在获取第 67 页数据...\n",
|
||
"已获取第 67 页数据，当前总计 804 条记录\n",
|
||
"正在获取第 68 页数据...\n",
|
||
"已获取第 68 页数据，当前总计 816 条记录\n",
|
||
"正在获取第 69 页数据...\n",
|
||
"已获取第 69 页数据，当前总计 828 条记录\n",
|
||
"正在获取第 70 页数据...\n",
|
||
"已获取第 70 页数据，当前总计 840 条记录\n",
|
||
"正在获取第 71 页数据...\n",
|
||
"已获取第 71 页数据，当前总计 852 条记录\n",
|
||
"正在获取第 72 页数据...\n",
|
||
"已获取第 72 页数据，当前总计 864 条记录\n",
|
||
"正在获取第 73 页数据...\n",
|
||
"已获取第 73 页数据，当前总计 876 条记录\n",
|
||
"正在获取第 74 页数据...\n",
|
||
"已获取第 74 页数据，当前总计 888 条记录\n",
|
||
"正在获取第 75 页数据...\n",
|
||
"已获取第 75 页数据，当前总计 900 条记录\n",
|
||
"正在获取第 76 页数据...\n",
|
||
"已获取第 76 页数据，当前总计 912 条记录\n",
|
||
"正在获取第 77 页数据...\n",
|
||
"已获取第 77 页数据，当前总计 924 条记录\n",
|
||
"正在获取第 78 页数据...\n",
|
||
"已获取第 78 页数据，当前总计 936 条记录\n",
|
||
"正在获取第 79 页数据...\n",
|
||
"已获取第 79 页数据，当前总计 948 条记录\n",
|
||
"正在获取第 80 页数据...\n",
|
||
"已获取第 80 页数据，当前总计 960 条记录\n",
|
||
"正在获取第 81 页数据...\n",
|
||
"已获取第 81 页数据，当前总计 972 条记录\n",
|
||
"正在获取第 82 页数据...\n",
|
||
"已获取第 82 页数据，当前总计 984 条记录\n",
|
||
"正在获取第 83 页数据...\n",
|
||
"已获取第 83 页数据，当前总计 996 条记录\n",
|
||
"正在获取第 84 页数据...\n",
|
||
"已获取第 84 页数据，当前总计 1008 条记录\n",
|
||
"正在获取第 85 页数据...\n",
|
||
"已获取第 85 页数据，当前总计 1020 条记录\n",
|
||
"正在获取第 86 页数据...\n",
|
||
"已获取第 86 页数据，当前总计 1032 条记录\n",
|
||
"正在获取第 87 页数据...\n",
|
||
"已获取第 87 页数据，当前总计 1044 条记录\n",
|
||
"正在获取第 88 页数据...\n",
|
||
"已获取第 88 页数据，当前总计 1056 条记录\n",
|
||
"正在获取第 89 页数据...\n",
|
||
"已获取第 89 页数据，当前总计 1068 条记录\n",
|
||
"正在获取第 90 页数据...\n",
|
||
"已获取第 90 页数据，当前总计 1080 条记录\n",
|
||
"正在获取第 91 页数据...\n",
|
||
"已获取第 91 页数据，当前总计 1092 条记录\n",
|
||
"正在获取第 92 页数据...\n",
|
||
"已获取第 92 页数据，当前总计 1104 条记录\n",
|
||
"正在获取第 93 页数据...\n",
|
||
"已获取第 93 页数据，当前总计 1116 条记录\n",
|
||
"正在获取第 94 页数据...\n",
|
||
"已获取第 94 页数据，当前总计 1128 条记录\n",
|
||
"正在获取第 95 页数据...\n",
|
||
"已获取第 95 页数据，当前总计 1140 条记录\n",
|
||
"正在获取第 96 页数据...\n",
|
||
"已获取第 96 页数据，当前总计 1152 条记录\n",
|
||
"正在获取第 97 页数据...\n",
|
||
"已获取第 97 页数据，当前总计 1164 条记录\n",
|
||
"正在获取第 98 页数据...\n",
|
||
"已获取第 98 页数据，当前总计 1176 条记录\n",
|
||
"正在获取第 99 页数据...\n",
|
||
"已获取第 99 页数据，当前总计 1188 条记录\n",
|
||
"正在获取第 100 页数据...\n",
|
||
"已获取第 100 页数据，当前总计 1200 条记录\n",
|
||
"正在获取第 101 页数据...\n",
|
||
"已获取第 101 页数据，当前总计 1212 条记录\n",
|
||
"正在获取第 102 页数据...\n",
|
||
"已获取第 102 页数据，当前总计 1224 条记录\n",
|
||
"正在获取第 103 页数据...\n",
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"已获取第 103 页数据，当前总计 1236 条记录\n",
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"正在获取第 104 页数据...\n",
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"已获取第 104 页数据，当前总计 1248 条记录\n",
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"正在获取第 105 页数据...\n",
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"已获取第 105 页数据，当前总计 1260 条记录\n",
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"正在获取第 106 页数据...\n",
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"已获取第 106 页数据，当前总计 1272 条记录\n",
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"正在获取第 107 页数据...\n",
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"已获取第 107 页数据，当前总计 1284 条记录\n",
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"正在获取第 108 页数据...\n",
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"已获取第 108 页数据，当前总计 1296 条记录\n",
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"正在获取第 109 页数据...\n",
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"已获取第 109 页数据，当前总计 1308 条记录\n",
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"正在获取第 110 页数据...\n",
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"已获取第 110 页数据，当前总计 1320 条记录\n",
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"正在获取第 111 页数据...\n",
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"已获取第 111 页数据，当前总计 1332 条记录\n",
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"正在获取第 112 页数据...\n",
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"已获取第 112 页数据，当前总计 1344 条记录\n",
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"正在获取第 113 页数据...\n",
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"已获取第 113 页数据，当前总计 1356 条记录\n",
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"正在获取第 114 页数据...\n",
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"已获取第 114 页数据，当前总计 1368 条记录\n",
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"正在获取第 115 页数据...\n",
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"已获取第 115 页数据，当前总计 1380 条记录\n",
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"正在获取第 116 页数据...\n",
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"已获取第 116 页数据，当前总计 1392 条记录\n",
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"正在获取第 117 页数据...\n",
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"已获取第 117 页数据，当前总计 1404 条记录\n",
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"正在获取第 118 页数据...\n",
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"已获取第 118 页数据，当前总计 1416 条记录\n",
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"正在获取第 119 页数据...\n",
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"已获取第 119 页数据，当前总计 1428 条记录\n",
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"正在获取第 120 页数据...\n",
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"已获取第 120 页数据，当前总计 1440 条记录\n",
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"正在获取第 121 页数据...\n",
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"已获取第 121 页数据，当前总计 1452 条记录\n",
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"正在获取第 122 页数据...\n",
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"已获取第 122 页数据，当前总计 1464 条记录\n",
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"正在获取第 123 页数据...\n",
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"已获取第 123 页数据，当前总计 1476 条记录\n",
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"正在获取第 124 页数据...\n",
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"已获取第 124 页数据，当前总计 1488 条记录\n",
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"正在获取第 125 页数据...\n",
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"已获取第 125 页数据，当前总计 1500 条记录\n",
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"正在获取第 126 页数据...\n",
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"已获取第 126 页数据，当前总计 1512 条记录\n",
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"正在获取第 127 页数据...\n",
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"已获取第 127 页数据，当前总计 1524 条记录\n",
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"正在获取第 128 页数据...\n",
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"已获取第 128 页数据，当前总计 1536 条记录\n",
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"正在获取第 129 页数据...\n",
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"已获取第 129 页数据，当前总计 1548 条记录\n",
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"正在获取第 130 页数据...\n",
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"已获取第 130 页数据，当前总计 1560 条记录\n",
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"正在获取第 131 页数据...\n",
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"已获取第 131 页数据，当前总计 1572 条记录\n",
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"正在获取第 132 页数据...\n",
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"已获取第 132 页数据，当前总计 1584 条记录\n",
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"正在获取第 133 页数据...\n",
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"已获取第 133 页数据，当前总计 1596 条记录\n",
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"正在获取第 134 页数据...\n",
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"已获取第 134 页数据，当前总计 1608 条记录\n",
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"正在获取第 135 页数据...\n",
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"已获取第 135 页数据，当前总计 1620 条记录\n",
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"正在获取第 136 页数据...\n",
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"已获取第 136 页数据，当前总计 1632 条记录\n",
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"正在获取第 137 页数据...\n",
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"已获取第 137 页数据，当前总计 1644 条记录\n",
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"正在获取第 138 页数据...\n",
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"已获取第 138 页数据，当前总计 1656 条记录\n",
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"正在获取第 139 页数据...\n",
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"已获取第 139 页数据，当前总计 1668 条记录\n",
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"正在获取第 140 页数据...\n",
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"已获取第 140 页数据，当前总计 1680 条记录\n",
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"正在获取第 141 页数据...\n",
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"已获取第 141 页数据，当前总计 1692 条记录\n",
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"正在获取第 142 页数据...\n",
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"已获取第 142 页数据，当前总计 1704 条记录\n",
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"正在获取第 143 页数据...\n",
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"已获取第 143 页数据，当前总计 1716 条记录\n",
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"正在获取第 144 页数据...\n",
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"已获取第 144 页数据，当前总计 1728 条记录\n",
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"正在获取第 145 页数据...\n",
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"已获取第 145 页数据，当前总计 1740 条记录\n",
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"正在获取第 146 页数据...\n",
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"已获取第 146 页数据，当前总计 1752 条记录\n",
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"正在获取第 147 页数据...\n",
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"已获取第 147 页数据，当前总计 1764 条记录\n",
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"正在获取第 148 页数据...\n",
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"已获取第 148 页数据，当前总计 1776 条记录\n",
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"正在获取第 149 页数据...\n",
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"已获取第 149 页数据，当前总计 1788 条记录\n",
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"正在获取第 150 页数据...\n",
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"已获取第 150 页数据，当前总计 1800 条记录\n",
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"正在获取第 151 页数据...\n",
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"已获取第 151 页数据，当前总计 1812 条记录\n",
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"正在获取第 152 页数据...\n",
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"已获取第 152 页数据，当前总计 1824 条记录\n",
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"正在获取第 153 页数据...\n",
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"已获取第 153 页数据，当前总计 1836 条记录\n",
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"正在获取第 154 页数据...\n",
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"已获取第 154 页数据，当前总计 1848 条记录\n",
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"正在获取第 155 页数据...\n",
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"已获取第 155 页数据，当前总计 1860 条记录\n",
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"正在获取第 156 页数据...\n",
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"已获取第 156 页数据，当前总计 1872 条记录\n",
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"正在获取第 157 页数据...\n",
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"已获取第 157 页数据，当前总计 1884 条记录\n",
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"正在获取第 158 页数据...\n",
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"已获取第 158 页数据，当前总计 1896 条记录\n",
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"正在获取第 159 页数据...\n",
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"已获取第 159 页数据，当前总计 1908 条记录\n",
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"正在获取第 160 页数据...\n",
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"已获取第 160 页数据，当前总计 1920 条记录\n",
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"正在获取第 161 页数据...\n",
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"已获取第 161 页数据，当前总计 1932 条记录\n",
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"正在获取第 162 页数据...\n",
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"已获取第 162 页数据，当前总计 1944 条记录\n",
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"正在获取第 163 页数据...\n",
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"已获取第 163 页数据，当前总计 1956 条记录\n",
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"正在获取第 164 页数据...\n",
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"已获取第 164 页数据，当前总计 1968 条记录\n",
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"正在获取第 165 页数据...\n",
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"已获取第 165 页数据，当前总计 1980 条记录\n",
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"正在获取第 166 页数据...\n",
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"已获取第 166 页数据，当前总计 1992 条记录\n",
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"正在获取第 167 页数据...\n",
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"已获取第 167 页数据，当前总计 2004 条记录\n",
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"正在获取第 168 页数据...\n",
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"已获取第 168 页数据，当前总计 2016 条记录\n",
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"正在获取第 169 页数据...\n",
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"已获取第 169 页数据，当前总计 2028 条记录\n",
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"正在获取第 170 页数据...\n",
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"已获取第 170 页数据，当前总计 2040 条记录\n",
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"正在获取第 171 页数据...\n",
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"已获取第 171 页数据，当前总计 2052 条记录\n",
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"正在获取第 172 页数据...\n",
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"已获取第 172 页数据，当前总计 2064 条记录\n",
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"正在获取第 173 页数据...\n",
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"已获取第 173 页数据，当前总计 2076 条记录\n",
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"正在获取第 174 页数据...\n",
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"已获取第 174 页数据，当前总计 2088 条记录\n",
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"正在获取第 175 页数据...\n",
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"已获取第 175 页数据，当前总计 2100 条记录\n",
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"正在获取第 176 页数据...\n",
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"已获取第 176 页数据，当前总计 2112 条记录\n",
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"正在获取第 177 页数据...\n",
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"已获取第 177 页数据，当前总计 2124 条记录\n",
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"正在获取第 178 页数据...\n",
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"已获取第 178 页数据，当前总计 2136 条记录\n",
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"正在获取第 179 页数据...\n",
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"已获取第 179 页数据，当前总计 2148 条记录\n",
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"正在获取第 180 页数据...\n",
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"已获取第 180 页数据，当前总计 2160 条记录\n",
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"正在获取第 181 页数据...\n",
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"已获取第 181 页数据，当前总计 2172 条记录\n",
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"正在获取第 182 页数据...\n",
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"已获取第 182 页数据，当前总计 2184 条记录\n",
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"正在获取第 183 页数据...\n",
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||
"已获取第 183 页数据，当前总计 2196 条记录\n",
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||
"正在获取第 184 页数据...\n",
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||
"已获取第 184 页数据，当前总计 2208 条记录\n",
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"正在获取第 185 页数据...\n",
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||
"已获取第 185 页数据，当前总计 2220 条记录\n",
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"正在获取第 186 页数据...\n",
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||
"已获取第 186 页数据，当前总计 2232 条记录\n",
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||
"正在获取第 187 页数据...\n",
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||
"已获取第 187 页数据，当前总计 2244 条记录\n",
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||
"正在获取第 188 页数据...\n",
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||
"已获取第 188 页数据，当前总计 2256 条记录\n",
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||
"正在获取第 189 页数据...\n",
|
||
"已获取第 189 页数据，当前总计 2268 条记录\n",
|
||
"正在获取第 190 页数据...\n",
|
||
"已获取第 190 页数据，当前总计 2280 条记录\n",
|
||
"正在获取第 191 页数据...\n",
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||
"已获取第 191 页数据，当前总计 2292 条记录\n",
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||
"正在获取第 192 页数据...\n",
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||
"已获取第 192 页数据，当前总计 2304 条记录\n",
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||
"正在获取第 193 页数据...\n",
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||
"已获取第 193 页数据，当前总计 2316 条记录\n",
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||
"正在获取第 194 页数据...\n",
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||
"已获取第 194 页数据，当前总计 2328 条记录\n",
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||
"正在获取第 195 页数据...\n",
|
||
"已获取第 195 页数据，当前总计 2340 条记录\n",
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||
"正在获取第 196 页数据...\n",
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||
"已获取第 196 页数据，当前总计 2352 条记录\n",
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||
"正在获取第 197 页数据...\n",
|
||
"已获取第 197 页数据，当前总计 2364 条记录\n",
|
||
"正在获取第 198 页数据...\n",
|
||
"已获取第 198 页数据，当前总计 2376 条记录\n",
|
||
"正在获取第 199 页数据...\n",
|
||
"已获取第 199 页数据，当前总计 2388 条记录\n",
|
||
"正在获取第 200 页数据...\n",
|
||
"已获取第 200 页数据，当前总计 2400 条记录\n",
|
||
"正在获取第 201 页数据...\n",
|
||
"已获取第 201 页数据，当前总计 2412 条记录\n",
|
||
"正在获取第 202 页数据...\n",
|
||
"已获取第 202 页数据，当前总计 2424 条记录\n",
|
||
"正在获取第 203 页数据...\n",
|
||
"已获取第 203 页数据，当前总计 2436 条记录\n",
|
||
"正在获取第 204 页数据...\n",
|
||
"已获取第 204 页数据，当前总计 2448 条记录\n",
|
||
"正在获取第 205 页数据...\n",
|
||
"已获取第 205 页数据，当前总计 2460 条记录\n",
|
||
"正在获取第 206 页数据...\n",
|
||
"已获取第 206 页数据，当前总计 2472 条记录\n",
|
||
"正在获取第 207 页数据...\n",
|
||
"已获取第 207 页数据，当前总计 2484 条记录\n",
|
||
"正在获取第 208 页数据...\n",
|
||
"已获取第 208 页数据，当前总计 2496 条记录\n",
|
||
"正在获取第 209 页数据...\n",
|
||
"已获取第 209 页数据，当前总计 2508 条记录\n",
|
||
"正在获取第 210 页数据...\n",
|
||
"已获取第 210 页数据，当前总计 2520 条记录\n",
|
||
"正在获取第 211 页数据...\n",
|
||
"已获取第 211 页数据，当前总计 2532 条记录\n",
|
||
"正在获取第 212 页数据...\n",
|
||
"已获取第 212 页数据，当前总计 2544 条记录\n",
|
||
"正在获取第 213 页数据...\n",
|
||
"已获取第 213 页数据，当前总计 2556 条记录\n",
|
||
"正在获取第 214 页数据...\n",
|
||
"已获取第 214 页数据，当前总计 2568 条记录\n",
|
||
"正在获取第 215 页数据...\n",
|
||
"已获取第 215 页数据，当前总计 2580 条记录\n",
|
||
"正在获取第 216 页数据...\n",
|
||
"已获取第 216 页数据，当前总计 2592 条记录\n",
|
||
"正在获取第 217 页数据...\n",
|
||
"已获取第 217 页数据，当前总计 2604 条记录\n",
|
||
"正在获取第 218 页数据...\n",
|
||
"已获取第 218 页数据，当前总计 2616 条记录\n",
|
||
"正在获取第 219 页数据...\n",
|
||
"已获取第 219 页数据，当前总计 2628 条记录\n",
|
||
"正在获取第 220 页数据...\n",
|
||
"已获取第 220 页数据，当前总计 2640 条记录\n",
|
||
"正在获取第 221 页数据...\n",
|
||
"已获取第 221 页数据，当前总计 2652 条记录\n",
|
||
"正在获取第 222 页数据...\n",
|
||
"已获取第 222 页数据，当前总计 2664 条记录\n",
|
||
"正在获取第 223 页数据...\n",
|
||
"已获取第 223 页数据，当前总计 2676 条记录\n",
|
||
"正在获取第 224 页数据...\n",
|
||
"已获取第 224 页数据，当前总计 2688 条记录\n",
|
||
"正在获取第 225 页数据...\n",
|
||
"已获取第 225 页数据，当前总计 2700 条记录\n",
|
||
"正在获取第 226 页数据...\n",
|
||
"已获取第 226 页数据，当前总计 2712 条记录\n",
|
||
"正在获取第 227 页数据...\n",
|
||
"已获取第 227 页数据，当前总计 2724 条记录\n",
|
||
"正在获取第 228 页数据...\n",
|
||
"已获取第 228 页数据，当前总计 2736 条记录\n",
|
||
"正在获取第 229 页数据...\n",
|
||
"已获取第 229 页数据，当前总计 2748 条记录\n",
|
||
"正在获取第 230 页数据...\n",
|
||
"已获取第 230 页数据，当前总计 2760 条记录\n",
|
||
"正在获取第 231 页数据...\n",
|
||
"已获取第 231 页数据，当前总计 2772 条记录\n",
|
||
"正在获取第 232 页数据...\n",
|
||
"已获取第 232 页数据，当前总计 2784 条记录\n",
|
||
"正在获取第 233 页数据...\n",
|
||
"已获取第 233 页数据，当前总计 2796 条记录\n",
|
||
"正在获取第 234 页数据...\n",
|
||
"已获取第 234 页数据，当前总计 2808 条记录\n",
|
||
"正在获取第 235 页数据...\n",
|
||
"已获取第 235 页数据，当前总计 2820 条记录\n",
|
||
"正在获取第 236 页数据...\n",
|
||
"已获取第 236 页数据，当前总计 2832 条记录\n",
|
||
"正在获取第 237 页数据...\n",
|
||
"已获取第 237 页数据，当前总计 2844 条记录\n",
|
||
"正在获取第 238 页数据...\n",
|
||
"已获取第 238 页数据，当前总计 2856 条记录\n",
|
||
"正在获取第 239 页数据...\n",
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"已获取第 466 页数据，当前总计 5592 条记录\n",
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"已获取第 467 页数据，当前总计 5604 条记录\n",
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||
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"已获取第 469 页数据，当前总计 5628 条记录\n",
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"已获取第 470 页数据，当前总计 5640 条记录\n",
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"已获取第 471 页数据，当前总计 5652 条记录\n",
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||
"正在获取第 472 页数据...\n",
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"已获取第 472 页数据，当前总计 5664 条记录\n",
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||
"正在获取第 473 页数据...\n",
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||
"已获取第 473 页数据，当前总计 5676 条记录\n",
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||
"正在获取第 474 页数据...\n",
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||
"已获取第 474 页数据，当前总计 5688 条记录\n",
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||
"正在获取第 475 页数据...\n",
|
||
"已获取第 475 页数据，当前总计 5700 条记录\n",
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||
"正在获取第 476 页数据...\n",
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||
"已获取第 476 页数据，当前总计 5712 条记录\n",
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||
"正在获取第 477 页数据...\n",
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||
"已获取第 477 页数据，当前总计 5724 条记录\n",
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||
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"已获取第 478 页数据，当前总计 5736 条记录\n",
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||
"正在获取第 479 页数据...\n",
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||
"已获取第 479 页数据，当前总计 5748 条记录\n",
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||
"正在获取第 480 页数据...\n",
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||
"已获取第 480 页数据，当前总计 5760 条记录\n",
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||
"正在获取第 481 页数据...\n",
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"已获取第 481 页数据，当前总计 5772 条记录\n",
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||
"正在获取第 482 页数据...\n",
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||
"已获取第 482 页数据，当前总计 5784 条记录\n",
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||
"正在获取第 483 页数据...\n",
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"已获取第 483 页数据，当前总计 5796 条记录\n",
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||
"正在获取第 484 页数据...\n",
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||
"已获取第 484 页数据，当前总计 5808 条记录\n",
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||
"正在获取第 485 页数据...\n",
|
||
"已获取第 485 页数据，当前总计 5820 条记录\n",
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||
"正在获取第 486 页数据...\n",
|
||
"已获取第 486 页数据，当前总计 5832 条记录\n",
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||
"正在获取第 487 页数据...\n",
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||
"已获取第 487 页数据，当前总计 5844 条记录\n",
|
||
"正在获取第 488 页数据...\n",
|
||
"已获取第 488 页数据，当前总计 5856 条记录\n",
|
||
"正在获取第 489 页数据...\n",
|
||
"已获取第 489 页数据，当前总计 5868 条记录\n",
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||
"正在获取第 490 页数据...\n",
|
||
"已获取第 490 页数据，当前总计 5880 条记录\n",
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||
"正在获取第 491 页数据...\n",
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||
"已获取第 491 页数据，当前总计 5892 条记录\n",
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||
"正在获取第 492 页数据...\n",
|
||
"已获取第 492 页数据，当前总计 5904 条记录\n",
|
||
"正在获取第 493 页数据...\n",
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||
"已获取第 493 页数据，当前总计 5916 条记录\n",
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||
"正在获取第 494 页数据...\n",
|
||
"已获取第 494 页数据，当前总计 5928 条记录\n",
|
||
"正在获取第 495 页数据...\n",
|
||
"已获取第 495 页数据，当前总计 5940 条记录\n",
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||
"正在获取第 496 页数据...\n",
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||
"已获取第 496 页数据，当前总计 5952 条记录\n",
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||
"正在获取第 497 页数据...\n",
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||
"已获取第 497 页数据，当前总计 5964 条记录\n",
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||
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||
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||
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||
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||
"正在获取第 500 页数据...\n",
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||
"已获取第 500 页数据，当前总计 6000 条记录\n",
|
||
"正在获取第 501 页数据...\n",
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||
"已获取第 501 页数据，当前总计 6012 条记录\n",
|
||
"正在获取第 502 页数据...\n",
|
||
"已获取第 502 页数据，当前总计 6024 条记录\n",
|
||
"正在获取第 503 页数据...\n",
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||
"已获取第 503 页数据，当前总计 6036 条记录\n",
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||
"正在获取第 504 页数据...\n",
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||
"已获取第 504 页数据，当前总计 6048 条记录\n",
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||
"正在获取第 505 页数据...\n",
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||
"已获取第 505 页数据，当前总计 6060 条记录\n",
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||
"正在获取第 506 页数据...\n",
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||
"已获取第 506 页数据，当前总计 6072 条记录\n",
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||
"正在获取第 507 页数据...\n",
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||
"已获取第 507 页数据，当前总计 6084 条记录\n",
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||
"正在获取第 508 页数据...\n",
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||
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||
"正在获取第 509 页数据...\n",
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||
"已获取第 509 页数据，当前总计 6108 条记录\n",
|
||
"正在获取第 510 页数据...\n",
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||
"已获取第 510 页数据，当前总计 6120 条记录\n",
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||
"正在获取第 511 页数据...\n",
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|
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"已获取第 552 页数据，当前总计 6621 条记录\n",
|
||
"数据获取完成，总计 6621 条记录\n",
|
||
"数据已保存到: D:/Idea Project/F6+宜搭+其它(1)/张阳脚本/文件输出/好店长工单列表-展开明细.xlsx\n",
|
||
"共生成 10977 行数据\n",
|
||
"\n",
|
||
"前5行数据预览:\n",
|
||
" id createDateTime totalAmount \\\n",
|
||
"0 2d565c97652245f9918b5bbed390cebd 2026-03-14 18:06:46 88.0 \n",
|
||
"1 76eada1f4c4e4ae2861f000958ce4c32 2026-03-14 15:33:09 25.0 \n",
|
||
"2 26a397127c184eaf8eb2ab0b731421ab 2026-03-13 13:22:03 0.0 \n",
|
||
"3 89e2c36b2e69466e9a81d8cbb0ded73a 2026-03-13 10:47:48 25.0 \n",
|
||
"4 d034bbd9fc0a408fa9bacee97d0a79e9 2026-03-09 08:54:25 0.0 \n",
|
||
"\n",
|
||
" beforeDiscountTotalAmount remark imgRemark settlementDate status \\\n",
|
||
"0 88.0 2026-03-14 18:06:52 COMPLETED \n",
|
||
"1 25.0 2026-03-14 15:33:18 COMPLETED \n",
|
||
"2 0.0 2026-03-13 13:22:02 COMPLETED \n",
|
||
"3 25.0 2026-03-13 10:47:53 COMPLETED \n",
|
||
"4 0.0 2026-03-09 08:54:24 COMPLETED \n",
|
||
"\n",
|
||
" receiptVoucherId licensePlate ... itemQuantity \\\n",
|
||
"0 fdd44cc801db410e942b3dba9afd7802 皖C57CE9 ... 1.0 \n",
|
||
"1 1a81b39f074d46f7a8091d5264e9ade6 皖F54306 ... 1.0 \n",
|
||
"2 19a0429926e94d97accb8fce34e783c5 皖CQJ667 ... 1.0 \n",
|
||
"3 5ea5cb2a398748d3b6830956d6676dcb 皖A811NJ ... 1.0 \n",
|
||
"4 a2950b7a29ab47b7a34c27d19046706f 豫R9YR72 ... 3.0 \n",
|
||
"\n",
|
||
" itemTotalAmount itemBeforeDiscountTotalAmount \\\n",
|
||
"0 88.0 88.0 \n",
|
||
"1 25.0 25.0 \n",
|
||
"2 0.0 0.0 \n",
|
||
"3 25.0 25.0 \n",
|
||
"4 0.0 0.0 \n",
|
||
"\n",
|
||
" itemSaleSourceId itemSaleCategory itemFromCounterCard \\\n",
|
||
"0 c36bff2c75cb469db4a6f7783616c833 SERVICES False \n",
|
||
"1 640b4648797449e09db8d48e299c5c7f SERVICES False \n",
|
||
"2 640b4648797449e09db8d48e299c5c7f SERVICES True \n",
|
||
"3 640b4648797449e09db8d48e299c5c7f SERVICES False \n",
|
||
"4 640b4648797449e09db8d48e299c5c7f SERVICES True \n",
|
||
"\n",
|
||
" itemContainsPurchaseOrder itemCustomizedSupplierId \\\n",
|
||
"0 False None \n",
|
||
"1 False None \n",
|
||
"2 False None \n",
|
||
"3 False None \n",
|
||
"4 False None \n",
|
||
"\n",
|
||
" itemCustomizedSupplierName itemRemark \n",
|
||
"0 None None \n",
|
||
"1 None None \n",
|
||
"2 None None \n",
|
||
"3 None None \n",
|
||
"4 None None \n",
|
||
"\n",
|
||
"[5 rows x 97 columns]\n",
|
||
"\n",
|
||
"共有 97 列:\n",
|
||
"['id', 'createDateTime', 'totalAmount', 'beforeDiscountTotalAmount', 'remark', 'imgRemark', 'settlementDate', 'status', 'receiptVoucherId', 'licensePlate', 'storeId', 'totalPaidAmount', 'totalBalanceAmount', 'totalGrossProfitAmount', 'containsPurchaseOrder', 'quotationDateTime', 'sendDateTime', 'preDeductAmount', 'maintainOrder', 'operatorId'] ...\n"
|
||
]
|
||
}
|
||
],
|
||
"execution_count": 13
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "base",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.12.4"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 2
|
||
}
|