Add university scraper system with backend, frontend, and configs

- Add src/university_scraper module with scraper, analyzer, and CLI
- Add backend FastAPI service with API endpoints and database models
- Add frontend React app with university management pages
- Add configs for Harvard, Manchester, and UCL universities
- Add artifacts with various scraper implementations
- Add Docker compose configuration for deployment
- Update .gitignore to exclude generated files

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

backend/app/schemas/result.py

@@ -0,0 +1,67 @@
+"""爬取结果相关的Pydantic模型"""
+
+from datetime import datetime
+from typing import Optional, List, Dict, Any
+from pydantic import BaseModel
+
+
+class FacultyData(BaseModel):
+    """导师数据"""
+    name: str
+    url: str
+    title: Optional[str] = None
+    email: Optional[str] = None
+    department: Optional[str] = None
+
+
+class ProgramData(BaseModel):
+    """项目数据"""
+    name: str
+    url: str
+    degree_type: Optional[str] = None
+    description: Optional[str] = None
+    faculty_page_url: Optional[str] = None
+    faculty_count: int = 0
+    faculty: List[FacultyData] = []
+
+
+class SchoolData(BaseModel):
+    """学院数据"""
+    name: str
+    url: str
+    description: Optional[str] = None
+    program_count: int = 0
+    programs: List[ProgramData] = []
+
+
+class ResultResponse(BaseModel):
+    """完整结果响应"""
+    id: int
+    university_id: int
+    job_id: Optional[int] = None
+
+    # 统计
+    schools_count: int
+    programs_count: int
+    faculty_count: int
+
+    # 完整数据
+    result_data: Dict[str, Any]
+
+    created_at: datetime
+
+    class Config:
+        from_attributes = True
+
+
+class ResultSummary(BaseModel):
+    """结果摘要"""
+    id: int
+    university_id: int
+    schools_count: int
+    programs_count: int
+    faculty_count: int
+    created_at: datetime
+
+    class Config:
+        from_attributes = True