继续尝试修复环境变量问题

quantitative_data/config.py

@@ -15,14 +15,24 @@ from pathlib import Path
 from urllib.parse import quote_plus
 
 # 加载 .env 文件中的环境变量
+_LOADED = False
 try:
     from dotenv import load_dotenv
-    env_path = Path(__file__).parent / ".env"
+    # 使用 resolve() 获取绝对路径，避免 os.chdir() 改变工作目录后 __file__ 变为相对路径
+    env_path = Path(__file__).resolve().parent / ".env"
+    # 如果 resolve 后的路径不存在，尝试从当前文件所在目录查找
+    if not env_path.exists():
+        # 备用方案：也检查 Notebook 的当前工作目录
+        cwd_path = Path.cwd() / ".env"
+        if cwd_path.exists():
+            env_path = cwd_path
+    
     if env_path.exists():
         load_dotenv(dotenv_path=env_path, override=True)
         print(f"✓ 已加载环境变量文件: {env_path}")
+        _LOADED = True
     else:
-        print(f"⚠ 未找到 .env 文件: {env_path}")
+        print(f"⚠ 未找到 .env 文件。检查路径: {Path(__file__).resolve().parent / '.env'}, 当前目录: {Path.cwd() / '.env'}")
 except ImportError:
     print("⚠ python-dotenv 未安装，无法自动加载 .env 文件。请手动设置环境变量或执行: pip install python-dotenv")
 

quantitative_data/importer.py

@@ -820,7 +820,9 @@ def init_database():
     # 执行 DDL
     conn = get_pg_connection()
     try:
-        with open("schema.sql", "r", encoding="utf-8") as f:
+        import os as _os
+        schema_path = _os.path.join(_os.path.dirname(_os.path.abspath(__file__)), "schema.sql")
+        with open(schema_path, "r", encoding="utf-8") as f:
             ddl_sql = f.read()
 
         # 按分号分割，逐条执行 (忽略被注释掉的分区表DDL)

quantitative_data/数据批量导入.ipynb

@@ -40,9 +40,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "工作目录: t:\\jupyter\\notebook\\quantitative_data\n",
+      "Python 版本: 3.10.2 (heads/master:d9999f5, Dec 16 2022, 16:20:32) [MSC v.1929 64 bit (AMD64)]\n"
+     ]
+    }
+   ],
    "source": [
     "import sys\n",
     "import os\n",
@@ -53,12 +62,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "pandas                   1.5.0\n",
+      "python-dotenv            1.2.2\n",
+      "SQLAlchemy               1.3.24\n",
+      "tushare                  1.2.89\n",
+      "vnpy-tushare             1.2.85.1\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "[notice] A new release of pip available: 22.2.2 -> 26.2\n",
+      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
+     ]
+    }
+   ],
    "source": [
     "# 检查依赖包\n",
-    "!pip list | findstr -i \"tushare pandas psycopg2 sqlalchemy\""
+    "!pip list | findstr -i \"tushare pandas psycopg2-binary sqlalchemy python-dotenv\""
    ]
   },
   {
@@ -68,14 +98,22 @@
    "outputs": [],
    "source": [
     "# 如果需要安装依赖，取消注释下面这行\n",
-    "# !pip install -r requirements.txt"
+    "#!pip install -r requirements.txt"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "模块导入成功!\n"
+     ]
+    }
+   ],
    "source": [
     "# 导入核心模块\n",
     "from importer import (\n",
@@ -105,9 +143,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "✗ 连接失败: connection to server at \"192.168.27.11\", port 5438 failed: fe_sendauth: no password supplied\n",
+      "\n",
+      "请检查:\n",
+      "  1. Docker 容器是否已启动: docker ps | findstr postgres\n",
+      "  2. 环境变量 (.env) 中的连接参数是否正确\n",
+      "  3. 防火墙是否开放 5438 端口\n"
+     ]
+    }
+   ],
    "source": [
     "# 测试数据库连接\n",
     "try:\n",
@@ -625,7 +676,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -639,7 +690,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.10.2"
   }
  },
  "nbformat": 4,