349 lines
15 KiB
Plaintext
349 lines
15 KiB
Plaintext
{
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"cells": [
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "## 合伙人结算登记表同步到Bi",
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"id": "c73b9afd879b3e18"
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},
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{
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"cell_type": "code",
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"id": "initial_id",
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"metadata": {
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"collapsed": true,
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"ExecuteTime": {
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"end_time": "2025-08-20T09:17:27.280694Z",
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"start_time": "2025-08-20T09:17:27.096281Z"
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}
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},
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"source": [
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"## 获取数据\n",
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"# -*- coding: utf-8 -*-\n",
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"import pandas as pd\n",
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"import datetime\n",
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"from config import Config\n",
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"from api import API\n",
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"import pymysql # 使用 pymysql 替代 mysql.connector\n",
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"from back_ground_module import CommonModule\n",
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"import os\n",
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"import mysql.connector\n",
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"import pandas as pd\n",
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"import json\n",
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"import numpy as np\n",
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"import mysql.connector\n",
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"from mysql.connector import Error\n",
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"from log_config import configure_task_logger, configure_error_task_logger\n",
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"import sys\n",
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"\n",
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"logger = configure_task_logger()\n",
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"error_task_logger = configure_error_task_logger()\n",
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"api_instance = API()\n",
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"common_module = CommonModule()\n",
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"output_dir = \"output\" # 设置输出目录\n",
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"os.makedirs(output_dir, exist_ok=True)\n",
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"\n",
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"\n",
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"class PartnerSettlementToBI:\n",
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" def __init__(self):\n",
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" self.partner_settlement_data = None\n",
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" self.field_mapping = {\n",
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" \"选择合伙人\": \"_widget_1753930627469\",\n",
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" \"合伙人姓名\": \"_widget_1712801992726\",\n",
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" \"手机号\": \"_widget_1712803222895\",\n",
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" \"合伙人身份\": \"_widget_1712803222894\",\n",
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" \"合伙人所在省市\": \"_widget_1712803222896\",\n",
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" \"合伙人登记人\": \"_widget_1712803222900\",\n",
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" \"战区经理\": \"_widget_1712803222901\",\n",
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" \"提交人\": \"_widget_1753941892609\",\n",
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" \"合伙人分类\": \"_widget_1753943042503\",\n",
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" \"战区\": \"_widget_1754530653275\",\n",
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" \"订单登记表\": \"_widget_1712803222905\",\n",
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" \"订单登记表.订单编号\": \"_widget_1712803222905._widget_1712803222907\",\n",
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" \"订单登记表.销售阶段\": \"_widget_1712803222905._widget_1712805391009\",\n",
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" \"订单登记表.版本\": \"_widget_1712803222905._widget_1712803222908\",\n",
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" \"订单登记表.年限\": \"_widget_1712803222905._widget_1712815331264\",\n",
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" \"订单登记表.成交金额\": \"_widget_1712803222905._widget_1712805391002\",\n",
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" \"订单登记表.佣金\": \"_widget_1712803222905._widget_1753952737266\",\n",
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" \"订单登记表.理论佣金\": \"_widget_1712803222905._widget_1753952737267\",\n",
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" \"订单登记表.佣金比例\": \"_widget_1712803222905._widget_1712807001396\",\n",
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" \"合计佣金\": \"_widget_1753948415171\",\n",
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" \"理论合计佣金\": \"_widget_1753952737280\",\n",
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" \"特殊情况备注\": \"_widget_1712805391035\",\n",
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" \"合伙人介绍证明（微信聊天截图等）\": \"_widget_1712815331256\",\n",
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" \"合伙人类型\": \"_widget_1753957844818\",\n",
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" }\n",
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"\n",
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" # 定义需要特殊处理的列表字段及其内部字段映射\n",
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" self.list_fields_config = {\n",
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" \"订单登记表\": {\n",
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" \"_widget_1712803222907\": \"订单编号\",\n",
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" \"_widget_1712805391009\": \"销售阶段\",\n",
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" \"_widget_1712803222908\": \"版本\",\n",
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" \"_widget_1712815331264\": \"年限\",\n",
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" \"_widget_1712805391002\": \"成交金额\",\n",
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" \"_widget_1753952737266\": \"佣金\",\n",
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" \"_widget_1753952737267\": \"理论佣金\",\n",
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" \"_widget_1712807001396\": \"佣金比例\",\n",
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" },\n",
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" # 可以在这里添加其他列表字段的配置\n",
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" # \"另一个列表字段\": {\n",
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" # \"原始字段名1\": \"映射后字段名1\",\n",
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" # \"原始字段名2\": \"映射后字段名2\"\n",
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" # }\n",
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" }\n",
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"\n",
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" def load_all_data(self):\n",
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" payload = {\"api_key\": \"66b9678280b37f8a276b1d01\",\n",
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" # \"entry_id\": \"68a57e3a0bc339d3384d1b0c\", # 测试\n",
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" \"entry_id\": \"661748c7c727764d79557674\",\n",
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" }\n",
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" partner_settlement = api_instance.entry_data_list(payload)\n",
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" self.partner_settlement_data = partner_settlement.get(\"data\") # api请求格式，将数据封装在data字典里\n",
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"\n",
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" def process_list_field(self, field_value, field_config):\n",
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" \"\"\"通用方法：处理列表类型的字段\"\"\"\n",
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" if not isinstance(field_value, (list, np.ndarray)):\n",
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" return field_value\n",
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"\n",
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" processed_list = []\n",
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" for item in field_value:\n",
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" if not isinstance(item, dict):\n",
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" processed_list.append(item)\n",
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" continue\n",
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"\n",
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" processed_item = {}\n",
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" for original_key, mapped_key in field_config.items():\n",
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" if original_key in item:\n",
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" # 处理包含id的字典字段\n",
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" if isinstance(item[original_key], dict) and \"id\" in item[original_key]:\n",
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" processed_item[mapped_key] = item[original_key][\"id\"]\n",
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" else:\n",
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" processed_item[mapped_key] = item[original_key]\n",
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" else:\n",
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" processed_item[mapped_key] = None\n",
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" processed_list.append(processed_item)\n",
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" return processed_list\n",
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"\n",
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" def data_process(self):\n",
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" if not self.partner_settlement_data:\n",
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" print(\"数据为空终止程序\")\n",
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" sys.exit(1)\n",
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" df = pd.DataFrame(self.partner_settlement_data)\n",
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" # 反转映射字典\n",
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" reverse_mapping = {v: k for k, v in self.field_mapping.items()}\n",
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" # 1.列明替换\n",
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" df.columns = [reverse_mapping.get(col, col) for col in df.columns]\n",
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"\n",
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" # 2.成员字段取值\n",
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" user_columns = [\"合伙人登记人\", \"提交人\", \"战区经理\"]\n",
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"\n",
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" for col in user_columns:\n",
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" df[col] = df[col].map(lambda x: x.get(\"name\", \"\") if isinstance(x, dict) else \"\")\n",
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"\n",
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" # 3.处理订单登记表列表字段，将其拆分成多行\n",
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" if \"订单登记表\" in df.columns:\n",
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" # 先处理订单登记表字段\n",
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" df[\"订单登记表\"] = df[\"订单登记表\"].apply(\n",
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" lambda x: self.process_list_field(x, self.list_fields_config[\"订单登记表\"])\n",
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" if x is not None and (isinstance(x, (list, dict, np.ndarray)) or not pd.isna(x))\n",
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" else None\n",
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" )\n",
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"\n",
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" # 拆分行\n",
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" df_exploded = df.explode(\"订单登记表\")\n",
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"\n",
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" # 将订单登记表中的字段提取到主表中\n",
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" order_fields = self.list_fields_config[\"订单登记表\"].values()\n",
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" for field in order_fields:\n",
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" df_exploded[field] = df_exploded[\"订单登记表\"].apply(\n",
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" lambda x: x.get(field) if isinstance(x, dict) else None\n",
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" )\n",
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"\n",
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" # 删除原始的订单登记表列\n",
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" df_exploded = df_exploded.drop(columns=[\"订单登记表\"])\n",
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"\n",
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" # 重置索引\n",
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" df = df_exploded.reset_index(drop=True)\n",
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"\n",
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" return df\n",
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"\n",
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" def write_to_bi(self, df):\n",
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" # 数据库连接信息\n",
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" HS_DB_Config = {\n",
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" 'host': \"f6-public.rwlb.rds.aliyuncs.com\",\n",
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" 'user': \"rw_operation_data_relay\",\n",
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" 'password': \"m+q5Z4%IVuF9bf\",\n",
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" 'database': \"f6operation_data_relay\"\n",
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" }\n",
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" table_name = \"partner_settlement_to_BI\" # 替换为你的实际表名\n",
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"\n",
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" # 建立数据库连接\n",
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" connection = mysql.connector.connect(\n",
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" host=HS_DB_Config[\"host\"],\n",
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" user=HS_DB_Config[\"user\"],\n",
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" password=HS_DB_Config[\"password\"],\n",
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" database=HS_DB_Config[\"database\"]\n",
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" )\n",
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" cursor = connection.cursor()\n",
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"\n",
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" try:\n",
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" # 查询表列名\n",
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" cursor.execute(f\"SHOW COLUMNS FROM {table_name}\")\n",
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" columns_info = cursor.fetchall()\n",
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" db_columns = [col[0] for col in columns_info] # 提取列名\n",
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" df = df.replace([None, np.nan, pd.NA, 'nan', 'NaN', 'NAN', ''], None)\n",
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" # 保留 DataFrame 中与数据库列名匹配的列\n",
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" filtered_df = df[df.columns.intersection(db_columns)]\n",
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"\n",
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" # 如果没有匹配的列，直接返回\n",
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" if filtered_df.empty:\n",
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" print(\"DataFrame 中没有与数据库表结构匹配的列。\")\n",
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" return\n",
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"\n",
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" # 筛选列之后，插入前处理 dict 类型\n",
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" filtered_df = filtered_df.copy()\n",
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" for col in filtered_df.columns:\n",
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" if filtered_df[col].apply(lambda x: isinstance(x, (dict, list)) if x is not None else False).any():\n",
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" filtered_df.loc[:, col] = filtered_df[col].apply(\n",
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" lambda x: json.dumps(x, ensure_ascii=False) if x is not None else x\n",
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" )\n",
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"\n",
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" # 构建插入语句\n",
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" placeholders = ', '.join(['%s'] * len(filtered_df.columns))\n",
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" # 使用反引号避免特殊列明\n",
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" columns = ', '.join([f\"`{col}`\" for col in filtered_df.columns])\n",
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" insert_sql = f\"INSERT INTO {table_name} ({columns}) VALUES ({placeholders})\"\n",
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"\n",
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" # 将 DataFrame 写入数据库\n",
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" for _, row in filtered_df.iterrows():\n",
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" cursor.execute(insert_sql, tuple(row))\n",
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"\n",
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" connection.commit()\n",
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" print(f\"成功写入 {len(filtered_df)} 条记录到 {table_name} 表中。\")\n",
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"\n",
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" except Exception as e:\n",
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" print(\"写入数据库时发生错误：\", e)\n",
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" connection.rollback()\n",
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" finally:\n",
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" cursor.close()\n",
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" connection.close()\n",
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"\n",
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" def clear_table_data(self):\n",
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" \"\"\"\n",
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" 清空指定 MySQL 表的数据。\n",
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" 参数已写死在函数内部，直接调用即可。\n",
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" \"\"\"\n",
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" # 数据库连接信息\n",
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" HS_DB_Config = {\n",
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" 'host': \"f6-public.rwlb.rds.aliyuncs.com\",\n",
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" 'user': \"rw_operation_data_relay\",\n",
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" 'password': \"m+q5Z4%IVuF9bf\",\n",
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" 'database': \"f6operation_data_relay\"\n",
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" }\n",
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" table_name = \"partner_settlement_to_BI\" # 要清空的表名\n",
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"\n",
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" connection = None\n",
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" try:\n",
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" # 建立数据库连接\n",
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" connection = mysql.connector.connect(\n",
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" host=HS_DB_Config[\"host\"],\n",
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" user=HS_DB_Config[\"user\"],\n",
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" password=HS_DB_Config[\"password\"],\n",
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" database=HS_DB_Config[\"database\"]\n",
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" )\n",
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" if connection.is_connected():\n",
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" cursor = connection.cursor()\n",
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"\n",
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" # 使用TRUNCATE清空表数据\n",
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" cursor.execute(f\"TRUNCATE TABLE {table_name}\")\n",
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" connection.commit()\n",
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"\n",
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" print(f\"成功清空表 {table_name} 中的所有数据\")\n",
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"\n",
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" except Error as e:\n",
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" print(f\"清空表时发生错误: {e}\")\n",
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" if connection and connection.is_connected():\n",
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" connection.rollback()\n",
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" finally:\n",
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" if connection and connection.is_connected():\n",
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" cursor.close()\n",
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" connection.close()\n",
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" print(\"数据库连接已关闭\")\n",
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"\n",
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" def main(self):\n",
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" task_start_time = datetime.datetime.now().strftime(\"%Y-%m-%d %H:%M:%S\")\n",
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"\n",
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" # 获取数据\n",
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" self.load_all_data()\n",
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" print(\"数据加载完成\")\n",
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"\n",
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" # 处理数据\n",
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" df = self.data_process()\n",
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" # df.to_csv(f\"{output_dir}/partner_settlement.csv\", index=False)\n",
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"\n",
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" # step3:数据库删除\n",
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" self.clear_table_data()\n",
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"\n",
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" # step4:数据写入BI\n",
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" self.write_to_bi(df)\n",
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"\n",
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" common_module.send_task_status(task_start_time, \"合伙人结算登记同步到BI\")\n",
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"\n",
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"\n",
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"PartnerSettlementToBI().main()\n",
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"\n"
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],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"数据加载完成\n",
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"[]\n",
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"数据为空终止程序\n"
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]
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},
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{
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"ename": "SystemExit",
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"evalue": "1",
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"output_type": "error",
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"traceback": [
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"An exception has occurred, use %tb to see the full traceback.\n",
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"\u001B[31mSystemExit\u001B[39m\u001B[31m:\u001B[39m 1\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"D:\\ProgramTools\\anaconda3\\envs\\jdy\\Lib\\site-packages\\IPython\\core\\interactiveshell.py:3707: UserWarning: To exit: use 'exit', 'quit', or Ctrl-D.\n",
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" warn(\"To exit: use 'exit', 'quit', or Ctrl-D.\", stacklevel=1)\n"
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]
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}
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],
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"execution_count": 7
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "saas",
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"language": "python",
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"name": "saas"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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