logistics/自动化跟单.ipynb

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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import requests \n",
    "from login_for_cookie import Vc\n",
    "import pendulum\n",
    "import json\n",
    "from utils.gtools import MySQLconnect \n",
    "from lxml import etree\n",
    "from pathlib import Path\n",
    "from  datetime import datetime\n",
    "cookie = Vc()\n",
    "headers = {\"Cookie\":cookie}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_fs(row):\n",
    "    data = row[\"采购单号\"]\n",
    "    buy_url = \"http://cp.maso.hk/index.php?main=store_in_receive\"\n",
    "\n",
    "    payload =  {\n",
    "    \"s_pid\": 2867159,\n",
    "    \"s_suborderid\": \"\",\n",
    "    \"pdt_standard_id\": \"\",\n",
    "    \"s_store\": -1,\n",
    "    \"s_status[0]\": 0,\n",
    "    \"s_sort\": \"desc\",\n",
    "    \"Submit\": \"查询\",\n",
    "    \"synergy_sign\": -1,\n",
    "    \"start_dep\": \"\",\n",
    "    \"start_user\": \"\",\n",
    "    \"to_dep\": \"\",\n",
    "    \"to_user\": \"\",\n",
    "    \"swebid\": 0,\n",
    "    \"local_pdt_id\": 0,\n",
    "    \"sadd_time\": \"\",\n",
    "    \"sadd_time_end\": \"\",\n",
    "    \"sreal_express_no\": \"\",\n",
    "    \"sweb_id\": \"\",\n",
    "    \"sof\": 0,\n",
    "    \"soe\": 0,\n",
    "    \"sod\": \"\",\n",
    "    \"tsid\": -1,\n",
    "    \"tsdid\": -1,\n",
    "    \"tsst\": -1,\n",
    "    \"order_cate\": -1,\n",
    "    \"error_status\": -1,\n",
    "    \"web_uid\": -1,\n",
    "    \"team_id\": -1,\n",
    "    \"handle\": -1,\n",
    "    \"handle_uid\": 0,\n",
    "    \"handle_time_start\": \"\",\n",
    "    \"handle_time_end\": \"\",\n",
    "    \"shiping_time_start\": \"\",\n",
    "    \"shiping_time_end\": \"\",\n",
    "    \"trade_time_start\": \"\",\n",
    "    \"trade_time_end\": \"\",\n",
    "    \"order_express_fee\": -1,\n",
    "    \"web_type\": -1,\n",
    "    \"shipping_type\": -1,\n",
    "    \"maintain_add_time_s\": \"\",\n",
    "    \"maintain_add_time_e\": \"\",\n",
    "    \"maintain_comfirm_time_s\": \"\",\n",
    "    \"maintain_comfirm_time_e\": \"\",\n",
    "    \"dispense_user_id\": \"\",\n",
    "    \"export_page\": 1\n",
    "    }\n",
    "    payload[\"s_pid\"] = data\n",
    "    resp = requests.post(url = buy_url ,headers=headers , data=payload)\n",
    "    buy_df_list = pd.read_html(resp.text,match=\"所属网站ID\")\n",
    "    buy_df = buy_df_list[1]\n",
    "    buy_df.columns = buy_df.loc[0,:]\n",
    "    trade_id = buy_df[\"交易ID\"][1]\n",
    "    #交易明细里头\n",
    "    trade_url = f\"http://cp.maso.hk/index.php?main=store_tradelist_info&trade_id={trade_id}\"\n",
    "    resp2 = requests.get(url = trade_url ,headers=headers )\n",
    "    df_list2 = pd.read_html(resp2.text,match=\"下单发货时间\")\n",
    "    df2 = df_list2[0]\n",
    "    df2.columns = df2.loc[0,:]\n",
    "    下单发货时间 = int(df2.iloc[2,1][0].replace(\"--\",\"0\"))\n",
    "    维护发货时间 = int(df2.iloc[2,3].replace(\"--\",\"0\"))\n",
    "    支付时间 = pendulum.parse(df2.iloc[3,3])\n",
    "    最大发货时间 = 支付时间.add(days=max(下单发货时间,维护发货时间))\n",
    "    #交易列表\n",
    "    trade_list_url = f\"http://cp.maso.hk/index.php?main=store_in_receive&navlist=trade_list&s_trade_id={trade_id}\"\n",
    "    resp3 = requests.get(url = trade_list_url ,headers=headers )\n",
    "    df_list3 = pd.read_html(resp3.text,match=\"涨幅\")\n",
    "    df3 = df_list3[0]\n",
    "    df3.columns = df3.loc[0,:]\n",
    "    交易平台 = df3[\"交易平台\"][1]\n",
    "    交易号 = df3[\"交易号\"][1]\n",
    "    交易平台订单号 = df3[\"交易平台订单号\"][1]\n",
    "    \n",
    "    return pd.Series([trade_id,下单发货时间, 维护发货时间,支付时间,最大发货时间,交易平台,交易号,交易平台订单号])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "url = f\"https://cp.maso.hk/index.php?main=orderlist_info&id={order_id}\"\n",
    "resp = requests.get(url = url ,headers=headers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "df_list = pd.read_html(resp.text,match=\"基础估算\")\n",
    "goaldf = df_list[1]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_excel(r\"F:\\DOCUMENTS\\WXWork\\1688854527635889\\Cache\\File\\2025-05\\新建Microsoft Excel 工作表 (2)(1).xlsx\",sheet_name=\"Sheet5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "\n",
    "def a(order_id,package):\n",
    "    url = f\"https://cp.maso.hk/index.php?main=orderlist_info&id={order_id}\"\n",
    "    resp = requests.get(url = url ,headers=headers)\n",
    "    df_list = pd.read_html(resp.text,match=\"基础估算\")\n",
    "    goaldf = df_list[1]\n",
    "    for idx,value in goaldf[1].items():\n",
    "        if str(package) == str(value):\n",
    "            fees = goaldf[5][idx+1]\n",
    "            fee_list= fees.split('  ')\n",
    "            fee1 = fee_list[1]\n",
    "            fee2 = fee_list[2]\n",
    "            print(fees)\n",
    "            fee = (float(fee1.replace(',','')) + float(fee2.replace(',','')))/7\n",
    "            print(fee1,fee2,fee)\n",
    "    return round(fee,2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for index,row in df.iterrows():\n",
    "    if row['快递公司'] ==\"海MS-WWEX-SAIR\":\n",
    "        df.at[index,'尾端'] = a(row[\"order_id\"],row[\"包裹号\"])\n",
    "    else:\n",
    "        continue\n",
    "df.to_clipboard(index=False)"
   ]
  }
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