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/models/job.py

@@ -0,0 +1,56 @@
+"""爬取任务模型"""
+
+from datetime import datetime
+from sqlalchemy import Column, Integer, String, DateTime, Text, ForeignKey
+from sqlalchemy.orm import relationship
+
+from ..database import Base
+
+
+class ScrapeJob(Base):
+    """爬取任务表"""
+
+    __tablename__ = "scrape_jobs"
+
+    id = Column(Integer, primary_key=True, index=True)
+    university_id = Column(Integer, ForeignKey("universities.id"), nullable=False)
+    script_id = Column(Integer, ForeignKey("scraper_scripts.id"))
+
+    status = Column(String(50), default="pending")  # pending, running, completed, failed, cancelled
+    progress = Column(Integer, default=0)  # 0-100 进度百分比
+    current_step = Column(String(255))  # 当前步骤描述
+
+    started_at = Column(DateTime)
+    completed_at = Column(DateTime)
+    error_message = Column(Text)
+
+    created_at = Column(DateTime, default=datetime.utcnow)
+
+    # 关联
+    university = relationship("University", back_populates="jobs")
+    script = relationship("ScraperScript", back_populates="jobs")
+    logs = relationship("ScrapeLog", back_populates="job", cascade="all, delete-orphan")
+    results = relationship("ScrapeResult", back_populates="job", cascade="all, delete-orphan")
+
+    def __repr__(self):
+        return f"<ScrapeJob(id={self.id}, status='{self.status}')>"
+
+
+class ScrapeLog(Base):
+    """爬取日志表"""
+
+    __tablename__ = "scrape_logs"
+
+    id = Column(Integer, primary_key=True, index=True)
+    job_id = Column(Integer, ForeignKey("scrape_jobs.id"), nullable=False)
+
+    level = Column(String(20), default="info")  # debug, info, warning, error
+    message = Column(Text, nullable=False)
+
+    created_at = Column(DateTime, default=datetime.utcnow)
+
+    # 关联
+    job = relationship("ScrapeJob", back_populates="logs")
+
+    def __repr__(self):
+        return f"<ScrapeLog(id={self.id}, level='{self.level}')>"