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/app/schemas/ability.py

@@ -0,0 +1,50 @@
+"""
+能力评估相关的Pydantic Schema
+"""
+from pydantic import BaseModel, Field
+from typing import List, Optional
+from datetime import datetime
+
+
+class AbilityDimension(BaseModel):
+    """能力维度评分"""
+    name: str = Field(..., description="能力维度名称")
+    score: int = Field(..., ge=0, le=100, description="评分(0-100)")
+    feedback: str = Field(..., description="反馈建议")
+
+
+class CourseRecommendation(BaseModel):
+    """课程推荐"""
+    course_id: int = Field(..., description="课程ID")
+    course_name: str = Field(..., description="课程名称")
+    recommendation_reason: str = Field(..., description="推荐理由")
+    priority: str = Field(..., description="优先级: high/medium/low")
+    match_score: int = Field(..., ge=0, le=100, description="匹配度(0-100)")
+
+
+class AbilityAssessmentResponse(BaseModel):
+    """能力评估响应"""
+    assessment_id: int = Field(..., description="评估记录ID")
+    total_score: int = Field(..., ge=0, le=100, description="综合评分")
+    dimensions: List[AbilityDimension] = Field(..., description="能力维度列表")
+    recommended_courses: List[CourseRecommendation] = Field(..., description="推荐课程列表")
+    conversation_count: int = Field(..., description="分析的对话数量")
+    analyzed_at: Optional[datetime] = Field(None, description="分析时间")
+
+
+class AbilityAssessmentHistory(BaseModel):
+    """能力评估历史记录"""
+    id: int
+    user_id: int
+    source_type: str
+    source_id: Optional[str]
+    total_score: Optional[int]
+    ability_dimensions: List[AbilityDimension]
+    recommended_courses: Optional[List[CourseRecommendation]]
+    conversation_count: Optional[int]
+    analyzed_at: datetime
+    created_at: datetime
+    
+    class Config:
+        from_attributes = True
+