{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a13175db",
   "metadata": {},
   "outputs": [],
   "source": [
    "BASE_SQL = \"\"\"\n",
    "WITH \n",
    "odr_list AS ( \n",
    "  SELECT \n",
    "    dwd.order_list.order_id,\n",
    "  dwd.order_list.site_name,\n",
    "  dwd.order_list.order_date,\n",
    "  dwd.order_list.delivery_country,\n",
    "  dwd.order_list.postcode,\n",
    "  dwd.order_list.currency,\n",
    "  dwd.order_list.order_price,\n",
    "  dwd.order_list.order_freight_price,\n",
    "  dwd.order_list.order_price_dollar,\n",
    "  dwd.order_list.order_freight_price_dollar,\n",
    "  dwd.order_list.insurance,\n",
    "  dwd.order_list.discount_code,\n",
    "  dwd.order_list.order_cate,\n",
    "  dwd.order_list.fund_status,\n",
    "  dwd.order_list.convey \n",
    "  FROM \n",
    "    dwd.order_list \n",
    "  WHERE \n",
    "    site_name REGEXP \"^litfad|beau|kwowking|lakiq\" \n",
    "    AND fund_status NOT REGEXP \"等待\" \n",
    "    AND DATE_FORMAT(order_date,\"%Y-%m-01\") >= \"2025-06-01\"\n",
    "),\n",
    "\n",
    "refund AS (\n",
    "  SELECT\n",
    "    ol.order_id,\n",
    "    SUM(`当次退款USD金额`) AS \"总退款金额\",\n",
    "                sum(`当次退款申请比例`) AS \"当次退款申请比例\",\n",
    "                `原订单退款比例`,\n",
    "                MAX(`申请时间`) AS \"最后一次申请时间\"\n",
    "  FROM\n",
    "    dwd.`cpmaso_order_refund` cof\n",
    "    LEFT JOIN dwd.order_list ol ON ol.order_id = cof.order_id \n",
    "  WHERE\n",
    "    状态 = \"退款成功\" \n",
    "    AND 网站 REGEXP \"litfad|lakiq|kwoking|beau\" \n",
    "    AND ol.order_date >= \"2025-01-01\" \n",
    "    AND EXISTS (\n",
    "        SELECT 1 FROM odr_list WHERE odr_list.order_id = cof.order_id\n",
    "    )\n",
    "  GROUP BY\n",
    "    ol.order_id\n",
    "),\n",
    "-- WITH\n",
    "sub_order AS (\n",
    "SELECT DISTINCT\n",
    "    opl.order_id,\n",
    "\n",
    "    CASE \n",
    "        WHEN (LENGTH(opl.order_product_id) - LENGTH(REPLACE(opl.order_product_id, '_', ''))) = 1 THEN opl.order_product_id\n",
    "        ELSE SUBSTRING_INDEX(opl.order_product_id, '_', 2)\n",
    "    END AS 子订单号,\n",
    "\n",
    "    CASE \n",
    "        WHEN (LENGTH(opl.order_product_id) - LENGTH(REPLACE(opl.order_product_id, '_', ''))) = 2 THEN opl.order_product_id\n",
    "        ELSE NULL\n",
    "    END AS 子子订单号,\n",
    "\n",
    "    lor.redo_type AS 补发类型\n",
    "--     wp.actual_price * wp.buy_num AS 采购金额,\n",
    "--     buy_audit\n",
    "\n",
    "FROM  dwd.order_product_list opl \n",
    "LEFT JOIN dws.log_order_reissue_detail lord \n",
    "    ON lord.order_product_id = opl.order_product_id\n",
    "LEFT JOIN dwd.log_order_reissue lor \n",
    "    ON lord.order_product_id = lor.order_product_id\n",
    "WHERE DATE_FORMAT(opl.order_date, \"%Y-%m-01\") >= \"2025-06-01\"\n",
    "\n",
    "),\n",
    "sub_order2 AS (\n",
    "SELECT\n",
    "order_id,\n",
    "COUNT(CASE WHEN 子子订单号 IS NULL THEN 1 ELSE NULL END) AS 子订单数,\n",
    "COUNT(CASE WHEN 子子订单号 IS NOT NULL THEN 1 ELSE NULL END) AS 子子订单数,\n",
    "COUNT(CASE WHEN 子子订单号 IS NOT NULL AND 补发类型 REGEXP \"配件补发|整件补发\" THEN 1 ELSE NULL END) AS 补发订单数,\n",
    "COUNT(CASE WHEN 子子订单号 IS NOT NULL AND 补发类型 REGEXP \"换款\"  THEN 1 ELSE NULL END) AS 换款订单数,\n",
    "COUNT(CASE WHEN 子子订单号 IS NOT NULL AND 补发类型 NOT REGEXP \"换款|配件补发|整件补发\"  AND 补发类型 IS NOT NULL THEN 1 ELSE NULL END) AS 其他补发数,\n",
    "COUNT(CASE WHEN 子子订单号 IS NOT NULL AND 补发类型 IS NULL THEN 1 ELSE NULL END) AS 拆分订单数\n",
    "FROM\n",
    "sub_order\n",
    "GROUP BY order_id\n",
    "),\n",
    "\n",
    "\n",
    "is_shipping AS (\n",
    "SELECT\n",
    "        opl.order_id,\n",
    "        count(distinct CASE WHEN oe.`关联提单号`<>\"--\" AND oe.`关联提单号`<>\"未关联\" AND oe.`包裹状态` not in ( \"已作废\",\"已删除\")  THEN oe.`包裹号` ELSE null END) AS 已发货包裹数,\n",
    "                COUNT(DISTINCT CASE WHEN oe.`包裹状态` not in ( \"已作废\",\"已删除\",\"--\")  THEN oe.`包裹号` ELSE null END)AS 所有包裹数,\n",
    "                                                                MIN(oe.`客户签收时间`) AS 客户最早签收时间\n",
    "                FROM order_express oe \n",
    "                left join dwd.order_product_list opl on oe.`单号` = opl.order_id \n",
    "                WHERE DATE_FORMAT(opl.order_date,\"%Y-%m-%d\") >'2025-01-01'\n",
    "                GROUP BY  opl.order_id\n",
    "                \n",
    ")\n",
    "\n",
    "SELECT\n",
    "  ol.*,\n",
    "        rf.总退款金额,\n",
    "        当次退款申请比例,\n",
    "        原订单退款比例,\n",
    "        最后一次申请时间,\n",
    "        so.子订单数,\n",
    "        so.子子订单数,\n",
    "        so.补发订单数,\n",
    "        so.换款订单数,\n",
    "        so.其他补发数,\n",
    "        so.拆分订单数,\n",
    "        CASE when sp.已发货包裹数 =sp.所有包裹数 then \"订单已发货\"\n",
    "        WHEN sp.已发货包裹数 < sp.所有包裹数 THEN \"部分发货\"\n",
    "        WHEN sp.已发货包裹数 = 0 then\"未发货\" ELSE \"无包裹\" END AS \"订单发货状态\" ,\n",
    "                                sp.客户最早签收时间\n",
    "FROM\n",
    "  odr_list ol\n",
    "        LEFT JOIN refund rf ON ol.order_id = rf.order_id\n",
    "        LEFT JOIN sub_order2 so ON ol.order_id = so.order_id\n",
    "        LEFT JOIN is_shipping sp ON ol.order_id = sp.order_id\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6b6089e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "#然后提取这些包裹号的提单ID\n",
    "#分析这些提单ID的总价和平均价格\n",
    "from utils.gtools import MySQLconnect\n",
    "import pandas as pd\n",
    "with MySQLconnect('ods') as db:\n",
    "    engine = db.engine()\n",
    "    order_df = pd.read_sql(BASE_SQL,engine)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b9140af6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#提取这些订单号的包裹号\n",
    "order_id = order_df['order_id'].tolist()\n",
    "order_ids = ','.join(f\"'{i}'\" for i in order_id)\n",
    "with MySQLconnect('ods') as db:\n",
    "    conn = db.connect()\n",
    "    cursor = conn.cursor()\n",
    "    sql = f\"SELECT * FROM order_info WHERE order_id IN ({order_ids})\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e4096b2",
   "metadata": {},
   "source": []
  }
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