{ "cells": [ { "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)" ] } ], "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": "3.11.5" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }