feat: 更新agent_app.py以自动启动web界面并优化项目配置

.gitignore

@@ -27,9 +27,6 @@ ENV/
 *.h5
 *.hdf5
 *.pb
-data/*.csv
-images/*.png
-images/*.jpg
 
 # 测试覆盖率
 .coverage

11.txt

@@ -1 +0,0 @@
-111

README.md

@@ -31,26 +31,6 @@ ml_course_design/
     └── test_*.py
 ```
 
-## 快速开始
-
-```bash
-# 克隆仓库
-git clone <仓库地址>
-cd ml_course_design
-
-# 安装依赖（使用 uv）
-uv sync
-
-# 训练模型
-uv run python -m src.train
-
-# 运行 Demo（Streamlit）
-uv run streamlit run src/streamlit_app.py
-
-# 运行测试
-uv run pytest tests/
-```
-
 ## 团队成员
 
 | 姓名 | 学号 | 贡献 |

src/agent_app.py

@@ -239,27 +239,52 @@ def create_agent(model_dir: str = "models", model_name: str = "random_forest") -
 
 
 if __name__ == "__main__":
-    agent = create_agent()
+    import subprocess
+    import webbrowser
+    import time
+    from pathlib import Path
 
-    print("=== 可用工具 ===")
+    print("=== 信用卡欺诈检测系统 ===")
-    for tool in agent.list_tools():
+    print("\n正在启动Web界面...\n")
-        print(f"- {tool['name']}: {tool['description']}")
 
-    test_transaction = [
+    streamlit_app_path = Path(__file__).parent / "streamlit_app.py"
-        0, -1.3598071336738, -0.0727811733098497, 2.53634673796914, 1.37815522427443,
-        -0.338320769942518, 0.462387777762292, 0.239598554061257, 0.0986979012610507,
-        0.363786969611213, 0.0907941719789316, -0.551599533260813, -0.617800855762348,
-        -0.991389847235408, -0.311169353699879, 1.46817697209427, -0.470400525259478,
-        0.207971241929242, 0.0257905801985591, 0.403992960255733, 0.251412098239705,
-        -0.018306777944153, 0.277837575558899, -0.110473910188767, 0.0669280749146731,
-        0.128539358273528, -0.189114843888824, 0.133558376740387, -0.0210530534538215,
-        149.62
-    ]
 
-    result = agent.process_transaction(test_transaction)
+    if not streamlit_app_path.exists():
-    print("\n=== 决策结果 ===")
+        print(f"错误: 找不到streamlit_app.py文件: {streamlit_app_path}")
-    print(f"预测类别: {result.evaluation.class_name}")
+        exit(1)
-    print(f"欺诈概率: {result.evaluation.fraud_probability:.4f}")
+
-    print(f"置信度: {result.evaluation.confidence}")
+    process = subprocess.Popen(
-    print(f"关键特征数量: {len(result.explanation.key_features)}")
+        ["streamlit", "run", str(streamlit_app_path), "--server.headless", "true"],
-    print(f"行动建议数量: {len(result.action_plan.actions)}")
+        stdout=subprocess.PIPE,
+        stderr=subprocess.PIPE,
+        text=True
+    )
+
+    print("✓ Web服务正在启动...")
+    print("✓ 请等待几秒钟，服务将自动在浏览器中打开\n")
+
+    time.sleep(3)
+
+    print("=" * 60)
+    print("🌐 信用卡欺诈检测系统Web界面")
+    print("=" * 60)
+    print("\n📋 访问信息:")
+    print("   本地访问: http://localhost:8501")
+    print("   网络访问: http://0.0.0.0:8501")
+    print("\n💡 提示:")
+    print("   - 如果浏览器没有自动打开，请手动访问上述链接")
+    print("   - 按 Ctrl+C 可以停止服务")
+    print("=" * 60)
+
+    try:
+        webbrowser.open("http://localhost:8501")
+    except Exception as e:
+        print(f"\n⚠️ 无法自动打开浏览器: {e}")
+        print("   请手动访问: http://localhost:8501")
+
+    try:
+        process.wait()
+    except KeyboardInterrupt:
+        print("\n\n正在停止服务...")
+        process.terminate()
+        print("✓ 服务已停止")