fix: 更新ai等文件数据

.gitignore

@@ -12,12 +12,6 @@ build/
 venv/
 .venv/
 
-# Database files
-data/*.db
-data/*.db-journal
-
-# Config files with secrets
-config/ai_config.json
 
 # Logs
 *.log

check_ai_models.py

@@ -0,0 +1,22 @@
+import sqlite3
+
+db_path = 'data/futures_analysis.db'
+
+conn = sqlite3.connect(db_path)
+
+print('=== AI模型配置 ===')
+cursor = conn.execute("SELECT * FROM ai_model_configs")
+cols = [desc[0] for desc in cursor.description]
+print(f'字段: {cols}')
+rows = cursor.fetchall()
+print(f'记录数: {len(rows)}')
+for row in rows:
+    print(dict(zip(cols, row)))
+
+print('\n=== 分析设置 ===')
+cursor = conn.execute("SELECT * FROM analysis_settings")
+rows = cursor.fetchall()
+for row in rows:
+    print(row)
+
+conn.close()

check_db.py

@@ -1,55 +1,32 @@
 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}")
+db_path = 'data/futures_analysis.db'
+
+print(f'数据库文件路径: {os.path.abspath(db_path)}')
+print(f'数据库存在: {os.path.exists(db_path)}')
+
+if os.path.exists(db_path):
+    print(f'数据库大小: {os.path.getsize(db_path)} 字节')
+    
+    conn = sqlite3.connect(db_path)
+    cursor = conn.execute("SELECT name FROM sqlite_master WHERE type='table'")
+    tables = [row[0] for row in cursor.fetchall()]
+    print(f'数据库表列表: {tables}')
+    
+    if 'ai_analysis_cache' in tables:
+        cursor = conn.execute("SELECT COUNT(*) FROM ai_analysis_cache")
         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}")
-
+        print(f'AI分析记录数: {count}')
+        
+        cursor = conn.execute("SELECT id, symbol, created_at FROM ai_analysis_cache ORDER BY created_at DESC LIMIT 5")
+        records = cursor.fetchall()
+        print(f'最近5条记录:')
+        for r in records:
+            print(f'  ID: {r[0]}, 合约: {r[1]}, 时间: {r[2]}')
+    else:
+        print('❌ ai_analysis_cache 表不存在!')
+    
     conn.close()
 else:
-    print("数据库文件不存在!")
-
-print("=" * 60)
+    print('❌ 数据库文件不存在!')

config/ai_config.json

@@ -0,0 +1,22 @@
+{
+    "models": [
+        {
+            "model_name": "qwen3.6-plus",
+            "provider": "bailian",
+            "api_key": "sk-sp-51d0695ab1114470b913146d21baf68f",
+            "api_base": "https://coding.dashscope.aliyuncs.com/v1",
+            "model_id": "qwen3.6-plus",
+            "temperature": 0.7,
+            "max_tokens": 2000,
+            "enabled": true
+        }
+    ],
+    "active_model": "bailian",
+    "analysis_settings": {
+        "enable_technical_analysis": true,
+        "enable_fundamental_analysis": false,
+        "enable_sentiment_analysis": false,
+        "risk_tolerance": "medium",
+        "max_position_pct": 10
+    }
+}