import sqlite3
import os
from pathlib import Path

db_path = Path(__file__).parent / "data" / "futures_analysis.db"

print("=" * 60)
print("数据库信息检查")
print("=" * 60)
print(f"数据库路径: {db_path}")
print(f"文件存在: {db_path.exists()}")

if db_path.exists():
    print(f"文件大小: {db_path.stat().st_size} bytes")
    print(f"最后修改: {db_path.stat().st_mtime}")

    conn = sqlite3.connect(str(db_path))
    cursor = conn.cursor()

    # 获取所有表
    cursor.execute("SELECT name FROM sqlite_master WHERE type='table'")
    tables = cursor.fetchall()
    print(f"\n数据库表 ({len(tables)}):")
    for table in tables:
        table_name = table[0]
        cursor.execute(f"SELECT COUNT(*) FROM {table_name}")
        count = cursor.fetchone()[0]
        print(f"  - {table_name}: {count} 条记录")

    # 检查AI模型配置
    print("\n" + "=" * 60)
    print("AI模型配置检查")
    print("=" * 60)
    try:
        cursor.execute("SELECT id, provider, model_name, is_active, enabled FROM ai_model_configs")
        models = cursor.fetchall()
        print(f"AI模型数量: {len(models)}")
        if models:
            for m in models:
                print(f"  ID: {m[0]}")
                print(f"  Provider: {m[1]}")
                print(f"  Model Name: {m[2]}")
                print(f"  Active: {m[3]}")
                print(f"  Enabled: {m[4]}")
                print()
        else:
            print("  没有配置AI模型!")
    except sqlite3.OperationalError as e:
        print(f"  查询失败: {e}")

    conn.close()
else:
    print("数据库文件不存在!")

print("=" * 60)