From be3af8cf5162b272a8805a171fa5ba6a839d55dc Mon Sep 17 00:00:00 2001 From: panda <1415243231@qq.com> Date: Sat, 28 Feb 2026 10:58:18 +0800 Subject: [PATCH] =?UTF-8?q?=E5=A2=9E=E5=8A=A0=E6=B3=A8=E9=87=8A?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- api.py | 3 +- .../province_city_person_relation_to_bi.py | 1 + tools/保存common_module数据库链接内容.py | 6 +- tools/更新关联表.ipynb | 384 +++++++++ tools/重复派发删除.ipynb | 790 +----------------- 5 files changed, 416 insertions(+), 768 deletions(-) create mode 100644 tools/更新关联表.ipynb diff --git a/api.py b/api.py index 8485e62..f8161ef 100644 --- a/api.py +++ b/api.py @@ -344,7 +344,8 @@ class API: "is_start_trigger": data.get('is_start_trigger', True), } ) - print(payload) + # print(payload) + data_get = None retries = 0 diff --git a/back_ground_module/province_city_person_relation_to_bi.py b/back_ground_module/province_city_person_relation_to_bi.py index 5d36681..12eb3c0 100644 --- a/back_ground_module/province_city_person_relation_to_bi.py +++ b/back_ground_module/province_city_person_relation_to_bi.py @@ -23,6 +23,7 @@ api_instance = API() class ProvinceCityPersonRelationToBI: + '''省市区人员关系表转BI''' def __init__(self): self.pvc_data = None self.field_mapping = { diff --git a/tools/保存common_module数据库链接内容.py b/tools/保存common_module数据库链接内容.py index b9264ca..b66fb0c 100644 --- a/tools/保存common_module数据库链接内容.py +++ b/tools/保存common_module数据库链接内容.py @@ -22,8 +22,8 @@ def save_data_yichang_to_csv(): print("开始获取异常明细数据...") # 获取前一天的异常数据 - data_yichang_S = common_module.get_yichang_details(days_back=1) - # data_yichang_S = common_module.get_ngv_details(days_back=1) # ngv + # data_yichang_S = common_module.get_yichang_details(days_back=1) + data_yichang_S = common_module.get_ngv_details(days_back=1) # ngv if data_yichang_S is None or data_yichang_S.empty: @@ -35,7 +35,7 @@ def save_data_yichang_to_csv(): # 生成文件名（包含日期） current_date = datetime.datetime.now().strftime("%Y%m%d") - filename = f"data_yichang_{current_date}.csv" + filename = f"data_NGV_{current_date}.csv" filepath = os.path.join(output_dir, filename) # 保存到CSV diff --git a/tools/更新关联表.ipynb b/tools/更新关联表.ipynb new file mode 100644 index 0000000..3313cae --- /dev/null +++ b/tools/更新关联表.ipynb @@ -0,0 +1,384 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": "## 日常回访更新关联数据", + "id": "543ac8a0fa7e104f" + }, + { + "cell_type": "code", + "id": "initial_id", + "metadata": { + "collapsed": true, + "ExecuteTime": { + "end_time": "2026-02-25T06:41:21.741086700Z", + "start_time": "2026-02-25T06:41:21.133000500Z" + } + }, + "source": [ + "import pandas as pd\n", + "from api import API\n", + "\n", + "api_instance = API()\n", + "data2 = {\"api_key\": \"675b900991ad2491c69389ca\",\n", + " \"entry_id\": \"675b9c63925cd404038a6b86\",\n", + " \"data_id\": \"680c38d01fac8b4aabeec290\",\n", + " \"data\":\n", + " {\"_widget_1734321349021\": {\"value\": \"680eb1b512eb97b1a7667c44\"}, }} # 明日派发起点人员\n", + "res = api_instance.entry_data_update(data2)\n", + "\n", + "res" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{\"app_id\": \"675b900991ad2491c69389ca\", \"entry_id\": \"675b9c63925cd404038a6b86\", \"data_id\": \"680c38d01fac8b4aabeec290\", \"data\": {\"_widget_1734321349021\": {\"value\": \"680eb1b512eb97b1a7667c44\"}}, \"is_start_trigger\": true}\n", + "{'data': {'_id': '680c38d01fac8b4aabeec290', 'creator': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'updater': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'deleter': None, 'createTime': '2025-04-26T01:37:20.074Z', 'updateTime': '2026-02-25T06:41:22.704Z', 'deleteTime': None, 'flowState': 0, '_widget_1734590278281': '商水县德国马牌汽车维修中心', '_widget_1734590278277': '普通客户（VIP）', '_widget_1734590278286': '标准版', '_widget_1734590278278': 'C', '_widget_1734590278279': '商水县德国马牌汽车维修中心', '_widget_1734590278288': {'name': '郭文朔', 'username': 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'675b900991ad2491c69389ca',\n", + " 'entryId': '675b9c63925cd404038a6b86'}}" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 2 + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tools/重复派发删除.ipynb b/tools/重复派发删除.ipynb index 77a44fa..407b584 100644 --- a/tools/重复派发删除.ipynb +++ b/tools/重复派发删除.ipynb @@ -12,8 +12,8 @@ "metadata": { "collapsed": true, "ExecuteTime": { - "end_time": "2025-07-17T08:03:51.919981Z", - "start_time": "2025-07-17T08:03:39.331174Z" + "end_time": "2026-02-25T05:45:52.998049100Z", + "start_time": "2026-02-25T05:45:49.628616100Z" } }, "source": [ @@ -21,7 +21,7 @@ "from api import API\n", "\n", "api_instance = API()\n", - "df = pd.read_excel(r\"C:\\Users\\Administrator.DESKTOP-7IC2USJ\\Downloads\\客户资料_20250801111301.xlsx\",sheet_name=\"id为空\")\n", + "df = pd.read_excel(r\"C:\\Users\\hp_z66\\Downloads\\客户资料_20260225113103.xlsx\",sheet_name=\"Sheet7\")\n", "for index, row in df.iterrows():\n", " data_id = row[\"data_id\"]\n", " payload = {\n", @@ -33,37 +33,25 @@ ], "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n" + "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[1]\u001B[39m\u001B[32m, line 5\u001B[39m\n\u001B[32m 2\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mapi\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m API\n\u001B[32m 4\u001B[39m api_instance = API()\n\u001B[32m----> \u001B[39m\u001B[32m5\u001B[39m df = \u001B[43mpd\u001B[49m\u001B[43m.\u001B[49m\u001B[43mread_excel\u001B[49m\u001B[43m(\u001B[49m\u001B[33;43mr\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43mC:\u001B[39;49m\u001B[33;43m\\\u001B[39;49m\u001B[33;43mUsers\u001B[39;49m\u001B[33;43m\\\u001B[39;49m\u001B[33;43mhp_z66\u001B[39;49m\u001B[33;43m\\\u001B[39;49m\u001B[33;43mDownloads\u001B[39;49m\u001B[33;43m\\\u001B[39;49m\u001B[33;43m客户资料_20260225113103.xlsx\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43msheet_name\u001B[49m\u001B[43m=\u001B[49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43mSheet7\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m)\u001B[49m\n\u001B[32m 6\u001B[39m \u001B[38;5;28;01mfor\u001B[39;00m index, row \u001B[38;5;129;01min\u001B[39;00m df.iterrows():\n\u001B[32m 7\u001B[39m data_id = row[\u001B[33m\"\u001B[39m\u001B[33mdata_id\u001B[39m\u001B[33m\"\u001B[39m]\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\pandas\\io\\excel\\_base.py:495\u001B[39m, in \u001B[36mread_excel\u001B[39m\u001B[34m(io, sheet_name, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, parse_dates, date_parser, date_format, thousands, decimal, comment, skipfooter, storage_options, dtype_backend, engine_kwargs)\u001B[39m\n\u001B[32m 493\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(io, ExcelFile):\n\u001B[32m 494\u001B[39m should_close = \u001B[38;5;28;01mTrue\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m495\u001B[39m io = \u001B[43mExcelFile\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 496\u001B[39m \u001B[43m \u001B[49m\u001B[43mio\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 497\u001B[39m \u001B[43m \u001B[49m\u001B[43mstorage_options\u001B[49m\u001B[43m=\u001B[49m\u001B[43mstorage_options\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 498\u001B[39m \u001B[43m \u001B[49m\u001B[43mengine\u001B[49m\u001B[43m=\u001B[49m\u001B[43mengine\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 499\u001B[39m \u001B[43m \u001B[49m\u001B[43mengine_kwargs\u001B[49m\u001B[43m=\u001B[49m\u001B[43mengine_kwargs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 500\u001B[39m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 501\u001B[39m \u001B[38;5;28;01melif\u001B[39;00m engine \u001B[38;5;129;01mand\u001B[39;00m engine != io.engine:\n\u001B[32m 502\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\n\u001B[32m 503\u001B[39m \u001B[33m\"\u001B[39m\u001B[33mEngine should not be specified when passing \u001B[39m\u001B[33m\"\u001B[39m\n\u001B[32m 504\u001B[39m \u001B[33m\"\u001B[39m\u001B[33man ExcelFile - ExcelFile already has the engine set\u001B[39m\u001B[33m\"\u001B[39m\n\u001B[32m 505\u001B[39m )\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\pandas\\io\\excel\\_base.py:1567\u001B[39m, in \u001B[36mExcelFile.__init__\u001B[39m\u001B[34m(self, path_or_buffer, engine, storage_options, engine_kwargs)\u001B[39m\n\u001B[32m 1564\u001B[39m \u001B[38;5;28mself\u001B[39m.engine = engine\n\u001B[32m 1565\u001B[39m \u001B[38;5;28mself\u001B[39m.storage_options = storage_options\n\u001B[32m-> \u001B[39m\u001B[32m1567\u001B[39m \u001B[38;5;28mself\u001B[39m._reader = \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_engines\u001B[49m\u001B[43m[\u001B[49m\u001B[43mengine\u001B[49m\u001B[43m]\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 1568\u001B[39m \u001B[43m \u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_io\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 1569\u001B[39m \u001B[43m \u001B[49m\u001B[43mstorage_options\u001B[49m\u001B[43m=\u001B[49m\u001B[43mstorage_options\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 1570\u001B[39m \u001B[43m \u001B[49m\u001B[43mengine_kwargs\u001B[49m\u001B[43m=\u001B[49m\u001B[43mengine_kwargs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 1571\u001B[39m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\pandas\\io\\excel\\_openpyxl.py:553\u001B[39m, in \u001B[36mOpenpyxlReader.__init__\u001B[39m\u001B[34m(self, filepath_or_buffer, storage_options, engine_kwargs)\u001B[39m\n\u001B[32m 541\u001B[39m \u001B[38;5;250m\u001B[39m\u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m 542\u001B[39m \u001B[33;03mReader using openpyxl engine.\u001B[39;00m\n\u001B[32m 543\u001B[39m \n\u001B[32m (...)\u001B[39m\u001B[32m 550\u001B[39m \u001B[33;03m Arbitrary keyword arguments passed to excel engine.\u001B[39;00m\n\u001B[32m 551\u001B[39m \u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m 552\u001B[39m import_optional_dependency(\u001B[33m\"\u001B[39m\u001B[33mopenpyxl\u001B[39m\u001B[33m\"\u001B[39m)\n\u001B[32m--> \u001B[39m\u001B[32m553\u001B[39m \u001B[38;5;28;43msuper\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[43m.\u001B[49m\u001B[34;43m__init__\u001B[39;49m\u001B[43m(\u001B[49m\n\u001B[32m 554\u001B[39m \u001B[43m \u001B[49m\u001B[43mfilepath_or_buffer\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 555\u001B[39m \u001B[43m \u001B[49m\u001B[43mstorage_options\u001B[49m\u001B[43m=\u001B[49m\u001B[43mstorage_options\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 556\u001B[39m \u001B[43m \u001B[49m\u001B[43mengine_kwargs\u001B[49m\u001B[43m=\u001B[49m\u001B[43mengine_kwargs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 557\u001B[39m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\pandas\\io\\excel\\_base.py:573\u001B[39m, in \u001B[36mBaseExcelReader.__init__\u001B[39m\u001B[34m(self, filepath_or_buffer, storage_options, engine_kwargs)\u001B[39m\n\u001B[32m 571\u001B[39m \u001B[38;5;28mself\u001B[39m.handles.handle.seek(\u001B[32m0\u001B[39m)\n\u001B[32m 572\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m573\u001B[39m \u001B[38;5;28mself\u001B[39m.book = \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mload_workbook\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mhandles\u001B[49m\u001B[43m.\u001B[49m\u001B[43mhandle\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mengine_kwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 574\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mException\u001B[39;00m:\n\u001B[32m 575\u001B[39m \u001B[38;5;28mself\u001B[39m.close()\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\pandas\\io\\excel\\_openpyxl.py:572\u001B[39m, in \u001B[36mOpenpyxlReader.load_workbook\u001B[39m\u001B[34m(self, filepath_or_buffer, engine_kwargs)\u001B[39m\n\u001B[32m 568\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mopenpyxl\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m load_workbook\n\u001B[32m 570\u001B[39m default_kwargs = {\u001B[33m\"\u001B[39m\u001B[33mread_only\u001B[39m\u001B[33m\"\u001B[39m: \u001B[38;5;28;01mTrue\u001B[39;00m, \u001B[33m\"\u001B[39m\u001B[33mdata_only\u001B[39m\u001B[33m\"\u001B[39m: \u001B[38;5;28;01mTrue\u001B[39;00m, \u001B[33m\"\u001B[39m\u001B[33mkeep_links\u001B[39m\u001B[33m\"\u001B[39m: \u001B[38;5;28;01mFalse\u001B[39;00m}\n\u001B[32m--> \u001B[39m\u001B[32m572\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mload_workbook\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 573\u001B[39m \u001B[43m \u001B[49m\u001B[43mfilepath_or_buffer\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 574\u001B[39m \u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43m(\u001B[49m\u001B[43mdefault_kwargs\u001B[49m\u001B[43m \u001B[49m\u001B[43m|\u001B[49m\u001B[43m \u001B[49m\u001B[43mengine_kwargs\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 575\u001B[39m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\openpyxl\\reader\\excel.py:348\u001B[39m, in \u001B[36mload_workbook\u001B[39m\u001B[34m(filename, read_only, keep_vba, data_only, keep_links, rich_text)\u001B[39m\n\u001B[32m 318\u001B[39m \u001B[38;5;250m\u001B[39m\u001B[33;03m\"\"\"Open the given filename and return the workbook\u001B[39;00m\n\u001B[32m 319\u001B[39m \n\u001B[32m 320\u001B[39m \u001B[33;03m:param filename: the path to open or a file-like object\u001B[39;00m\n\u001B[32m (...)\u001B[39m\u001B[32m 344\u001B[39m \n\u001B[32m 345\u001B[39m \u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m 346\u001B[39m reader = ExcelReader(filename, read_only, keep_vba,\n\u001B[32m 347\u001B[39m data_only, keep_links, rich_text)\n\u001B[32m--> \u001B[39m\u001B[32m348\u001B[39m \u001B[43mreader\u001B[49m\u001B[43m.\u001B[49m\u001B[43mread\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 349\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m reader.wb\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\openpyxl\\reader\\excel.py:291\u001B[39m, in \u001B[36mExcelReader.read\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m 289\u001B[39m \u001B[38;5;28mself\u001B[39m.read_manifest()\n\u001B[32m 290\u001B[39m action = \u001B[33m\"\u001B[39m\u001B[33mread strings\u001B[39m\u001B[33m\"\u001B[39m\n\u001B[32m--> \u001B[39m\u001B[32m291\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mread_strings\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 292\u001B[39m action = \u001B[33m\"\u001B[39m\u001B[33mread workbook\u001B[39m\u001B[33m\"\u001B[39m\n\u001B[32m 293\u001B[39m \u001B[38;5;28mself\u001B[39m.read_workbook()\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\openpyxl\\reader\\excel.py:147\u001B[39m, in \u001B[36mExcelReader.read_strings\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m 145\u001B[39m strings_path = ct.PartName[\u001B[32m1\u001B[39m:]\n\u001B[32m 146\u001B[39m \u001B[38;5;28;01mwith\u001B[39;00m \u001B[38;5;28mself\u001B[39m.archive.open(strings_path,) \u001B[38;5;28;01mas\u001B[39;00m src:\n\u001B[32m--> \u001B[39m\u001B[32m147\u001B[39m \u001B[38;5;28mself\u001B[39m.shared_strings = \u001B[43mreader\u001B[49m\u001B[43m(\u001B[49m\u001B[43msrc\u001B[49m\u001B[43m)\u001B[49m\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\openpyxl\\reader\\strings.py:18\u001B[39m, in \u001B[36mread_string_table\u001B[39m\u001B[34m(xml_source)\u001B[39m\n\u001B[32m 16\u001B[39m \u001B[38;5;28;01mfor\u001B[39;00m _, node \u001B[38;5;129;01min\u001B[39;00m iterparse(xml_source):\n\u001B[32m 17\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m node.tag == STRING_TAG:\n\u001B[32m---> \u001B[39m\u001B[32m18\u001B[39m text = \u001B[43mText\u001B[49m\u001B[43m.\u001B[49m\u001B[43mfrom_tree\u001B[49m\u001B[43m(\u001B[49m\u001B[43mnode\u001B[49m\u001B[43m)\u001B[49m.content\n\u001B[32m 19\u001B[39m text = text.replace(\u001B[33m'\u001B[39m\u001B[33mx005F_\u001B[39m\u001B[33m'\u001B[39m, \u001B[33m'\u001B[39m\u001B[33m'\u001B[39m)\n\u001B[32m 20\u001B[39m node.clear()\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\openpyxl\\descriptors\\serialisable.py:74\u001B[39m, in \u001B[36mSerialisable.from_tree\u001B[39m\u001B[34m(cls, node)\u001B[39m\n\u001B[32m 71\u001B[39m attrib[\u001B[33m\"\u001B[39m\u001B[33mattr_text\u001B[39m\u001B[33m\"\u001B[39m] = node.text\n\u001B[32m 73\u001B[39m \u001B[38;5;28;01mfor\u001B[39;00m el \u001B[38;5;129;01min\u001B[39;00m node:\n\u001B[32m---> \u001B[39m\u001B[32m74\u001B[39m tag = \u001B[43mlocalname\u001B[49m\u001B[43m(\u001B[49m\u001B[43mel\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 75\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m tag \u001B[38;5;129;01min\u001B[39;00m KEYWORDS:\n\u001B[32m 76\u001B[39m tag = \u001B[33m\"\u001B[39m\u001B[33m_\u001B[39m\u001B[33m\"\u001B[39m + tag\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\SaaS\\Lib\\site-packages\\openpyxl\\xml\\functions.py:81\u001B[39m, in \u001B[36mlocalname\u001B[39m\u001B[34m(node)\u001B[39m\n\u001B[32m 79\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[33m\"\u001B[39m\u001B[33mcomment\u001B[39m\u001B[33m\"\u001B[39m\n\u001B[32m 80\u001B[39m m = NS_REGEX.match(node.tag)\n\u001B[32m---> \u001B[39m\u001B[32m81\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mm\u001B[49m\u001B[43m.\u001B[49m\u001B[43mgroup\u001B[49m\u001B[43m(\u001B[49m\u001B[33;43m'\u001B[39;49m\u001B[33;43mlocalname\u001B[39;49m\u001B[33;43m'\u001B[39;49m\u001B[43m)\u001B[49m\n", + "\u001B[31mKeyboardInterrupt\u001B[39m: " ] } ], @@ -1528,8 +1516,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2025-08-01T08:12:57.996465Z", - "start_time": "2025-08-01T08:10:21.860850Z" + "end_time": "2026-02-26T02:48:25.972319100Z", + "start_time": "2026-02-26T02:34:28.428344700Z" } }, "cell_type": "code", @@ -1538,7 +1526,7 @@ "from api import API\n", "\n", "api_instance = API()\n", - "df = pd.read_excel(r\"C:\\Users\\Administrator.DESKTOP-7IC2USJ\\Downloads\\客户资料_20250801111301.xlsx\",sheet_name=\"id为空\")\n", + "df = pd.read_excel(r\"C:\\Users\\hp_z66\\Downloads\\客户资料_20260226092528.xlsx\",sheet_name=\"Sheet3\")\n", "for index, row in df.iterrows():\n", " data_id = row[\"data_id\"]\n", " payload = {\n", @@ -1549,733 +1537,7 @@ " api_instance.entry_data_delete(payload)" ], "id": "8a06c19850c522b3", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - "返回结果: {'status': 'success'}\n", - 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