{
 "cells": [
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": [
    "import pandas as pd\n",
    "\n",
    "host = '81.71.3.24'\n",
    "port = 6785\n",
    "database = 'leopard_dev'\n",
    "username = 'leopard'\n",
    "password = '9NEzFzovnddf@PyEP?e*AYAWnCyd7UhYwQK$pJf>7?ccFiN^x4$eKEZ5~E<7<+~X'"
   ],
   "id": "1e8d815ee9b8c936"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "initial_id",
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import psycopg2\n",
    "\n",
    "dailies_df = pd.DataFrame()\n",
    "\n",
    "with psycopg2.connect(host=host, port=port, database=database, user=username, password=password) as connection:\n",
    "    with connection.cursor() as cursor:\n",
    "        # language=PostgreSQL\n",
    "        cursor.execute(\n",
    "            \"\"\"select trade_date, open, close, high, low, factor\n",
    "from leopard_daily daily\n",
    "         left join leopard_stock stock on stock.id = daily.stock_id\n",
    "where stock.code = '000001.SZ'\n",
    "  and daily.trade_date between '2025-01-01 00:00:00' and '2025-12-31 23:59:59'\n",
    "order by daily.trade_date\"\"\"\n",
    "            )\n",
    "        rows = cursor.fetchall()\n",
    "\n",
    "        dailies_df = pd.DataFrame.from_records(rows, columns=['trade_date', 'open', 'close', 'high', 'low', 'factor'])\n",
    "\n",
    "dailies_df"
   ]
  }
 ],
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