#!/usr/bin/env python3
"""
测试模型详情端点
"""
import urllib.request
import json

def test_model_details_endpoint():
    try:
        print("=== 测试模型详情端点 ===")
        
        # 首先获取模型列表，找到可用的模型
        print("1. 获取模型列表...")
        url = 'http://localhost:5000/api/models'
        with urllib.request.urlopen(url) as response:
            data = response.read().decode('utf-8')
            result = json.loads(data)
            
            models = result.get('data', [])
            print(f"找到 {len(models)} 个模型")
            
            if not models:
                print("❌ 没有可用模型，无法测试详情端点")
                return
            
            # 测试每个模型的详情端点
            for i, model in enumerate(models):
                model_type = model.get('model_type', '')
                product_id = model.get('product_id', '')
                
                print(f"\n2.{i+1} 测试模型详情:")
                print(f"  模型类型: {model_type}")
                print(f"  产品ID: {product_id}")
                
                if not model_type or not product_id:
                    print("  ❌ 缺少必要参数，跳过")
                    continue
                
                # 构造详情端点URL
                details_url = f'http://localhost:5000/api/models/{model_type}/{product_id}/details'
                print(f"  请求URL: {details_url}")
                
                try:
                    with urllib.request.urlopen(details_url) as details_response:
                        details_data = details_response.read().decode('utf-8')
                        details_result = json.loads(details_data)
                        
                        print(f"  ✓ 状态码: {details_response.status}")
                        
                        if details_result.get('status') == 'success':
                            data = details_result.get('data', {})
                            model_info = data.get('model_info', {})
                            training_metrics = data.get('training_metrics', {})
                            
                            print(f"  ✓ 返回状态: success")
                            print(f"  ✓ 模型信息: {len(model_info)} 个字段")
                            print(f"  ✓ 训练指标: {len(training_metrics)} 个")
                            
                            if training_metrics:
                                print(f"    - 指标包含: {list(training_metrics.keys())}")
                        else:
                            print(f"  ❌ 返回错误: {details_result.get('message', '未知错误')}")
                            
                except urllib.error.HTTPError as e:
                    print(f"  ❌ HTTP错误: {e.code} - {e.reason}")
                    
                    # 尝试读取错误响应
                    try:
                        error_data = e.read().decode('utf-8')
                        error_result = json.loads(error_data)
                        print(f"     错误详情: {error_result.get('message', '无详情')}")
                    except:
                        print(f"     无法解析错误响应")
                        
                except Exception as e:
                    print(f"  ❌ 请求异常: {e}")
        
        # 3. 测试CORS
        print(f"\n3. CORS配置检查:")
        print(f"   当前CORS设置: origins='*'")
        print(f"   如果前端仍有CORS错误，可能需要：")
        print(f"   - 检查前端请求头")
        print(f"   - 确认API服务器地址")
        print(f"   - 检查浏览器开发者工具网络面板")
        
    except Exception as e:
        print(f"测试失败: {e}")

if __name__ == "__main__":
    test_model_details_endpoint()