feat: 初始化考培练系统项目

- 从服务器拉取完整代码
- 按框架规范整理项目结构
- 配置 Drone CI 测试环境部署
- 包含后端(FastAPI)、前端(Vue3)、管理端

技术栈: Vue3 + TypeScript + FastAPI + MySQL

backend/test_statistics_api.py

@@ -0,0 +1,149 @@
+#!/usr/bin/env python
+"""
+测试统计分析API
+"""
+import asyncio
+import sys
+from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
+from sqlalchemy.orm import sessionmaker
+
+# 添加项目路径
+sys.path.insert(0, '/Users/nongjun/Desktop/Ai公司/本地开发与测试/kaopeilian-backend')
+
+from app.services.statistics_service import StatisticsService
+from app.core.logger import get_logger
+
+logger = get_logger(__name__)
+
+# 测试数据库连接字符串（使用本地测试环境）
+DATABASE_URL = "mysql+aiomysql://root:nj861021@localhost:3306/kaopeilian"
+
+
+async def test_statistics_service():
+    """测试统计服务"""
+    print("=" * 50)
+    print("开始测试统计分析服务")
+    print("=" * 50)
+    
+    # 创建数据库连接
+    engine = create_async_engine(DATABASE_URL, echo=False)
+    async_session = sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
+    
+    try:
+        async with async_session() as session:
+            # 测试用户ID（使用实际存在的用户）
+            test_user_id = 2  # admin用户
+            
+            print(f"\n📊 测试用户ID: {test_user_id}")
+            print("-" * 50)
+            
+            # 1. 测试关键指标
+            print("\n1️⃣ 测试关键指标...")
+            try:
+                metrics = await StatisticsService.get_key_metrics(
+                    db=session,
+                    user_id=test_user_id,
+                    period="month"
+                )
+                print("✓ 关键指标获取成功:")
+                print(f"  - 学习效率: {metrics['learningEfficiency']['value']}%")
+                print(f"  - 知识覆盖率: {metrics['knowledgeCoverage']['value']}%")
+                print(f"  - 平均用时: {metrics['avgTimePerQuestion']['value']} 分/题")
+                print(f"  - 进步速度: {metrics['progressSpeed']['value']}%")
+            except Exception as e:
+                print(f"✗ 关键指标获取失败: {e}")
+            
+            # 2. 测试成绩分布
+            print("\n2️⃣ 测试成绩分布...")
+            try:
+                distribution = await StatisticsService.get_score_distribution(
+                    db=session,
+                    user_id=test_user_id,
+                    period="month"
+                )
+                print("✓ 成绩分布获取成功:")
+                print(f"  - 优秀: {distribution['excellent']}")
+                print(f"  - 良好: {distribution['good']}")
+                print(f"  - 中等: {distribution['medium']}")
+                print(f"  - 及格: {distribution['pass']}")
+                print(f"  - 不及格: {distribution['fail']}")
+            except Exception as e:
+                print(f"✗ 成绩分布获取失败: {e}")
+            
+            # 3. 测试难度分析
+            print("\n3️⃣ 测试难度分析...")
+            try:
+                difficulty = await StatisticsService.get_difficulty_analysis(
+                    db=session,
+                    user_id=test_user_id,
+                    period="month"
+                )
+                print("✓ 难度分析获取成功:")
+                for key, value in difficulty.items():
+                    print(f"  - {key}: {value}%")
+            except Exception as e:
+                print(f"✗ 难度分析获取失败: {e}")
+            
+            # 4. 测试知识点掌握度
+            print("\n4️⃣ 测试知识点掌握度...")
+            try:
+                mastery = await StatisticsService.get_knowledge_mastery(
+                    db=session,
+                    user_id=test_user_id
+                )
+                print(f"✓ 知识点掌握度获取成功 (共{len(mastery)}个知识点):")
+                for item in mastery[:3]:  # 只显示前3个
+                    print(f"  - {item['name']}: {item['mastery']}%")
+            except Exception as e:
+                print(f"✗ 知识点掌握度获取失败: {e}")
+            
+            # 5. 测试学习时长统计
+            print("\n5️⃣ 测试学习时长统计...")
+            try:
+                time_stats = await StatisticsService.get_study_time_stats(
+                    db=session,
+                    user_id=test_user_id,
+                    period="week"
+                )
+                print(f"✓ 学习时长统计获取成功:")
+                print(f"  - 日期数: {len(time_stats['labels'])}")
+                print(f"  - 总学习时长: {sum(time_stats['studyTime'])} 小时")
+                print(f"  - 总练习时长: {sum(time_stats['practiceTime'])} 小时")
+            except Exception as e:
+                print(f"✗ 学习时长统计获取失败: {e}")
+            
+            # 6. 测试详细数据
+            print("\n6️⃣ 测试详细数据...")
+            try:
+                detail = await StatisticsService.get_detail_data(
+                    db=session,
+                    user_id=test_user_id,
+                    period="month"
+                )
+                print(f"✓ 详细数据获取成功 (共{len(detail)}条记录):")
+                if detail:
+                    first = detail[0]
+                    print(f"  - 最近日期: {first['date']}")
+                    print(f"  - 考试次数: {first['examCount']}")
+                    print(f"  - 平均分: {first['avgScore']}")
+                    print(f"  - 正确率: {first['accuracy']}%")
+            except Exception as e:
+                print(f"✗ 详细数据获取失败: {e}")
+            
+            print("\n" + "=" * 50)
+            print("✅ 所有测试完成!")
+            print("=" * 50)
+            
+    except Exception as e:
+        print(f"\n❌ 测试过程中发生错误: {e}")
+        import traceback
+        traceback.print_exc()
+    
+    finally:
+        await engine.dispose()
+
+
+if __name__ == "__main__":
+    print("\n🚀 启动统计分析服务测试...")
+    asyncio.run(test_statistics_service())
+