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import uuid
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import boto3
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from fastapi import FastAPI, HTTPException, Depends
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from sqlalchemy import create_engine, Column, String, ForeignKey
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from sqlalchemy.orm import sessionmaker, Session, declarative_base, relationship
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from app.config import settings
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# --- 数据库初始化 ---
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engine = create_engine(settings.database_url)
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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Base = declarative_base()
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# --- S3 客户端初始化 ---
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s3_client = boto3.client(
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's3',
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aws_access_key_id=settings.s3_access_key,
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aws_secret_access_key=settings.s3_secret_key,
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endpoint_url=settings.s3_endpoint,
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region_name=settings.s3_region
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)
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# --- 数据模型 ---
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class Project(Base):
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__tablename__ = "projects"
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id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
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name = Column(String, nullable=False)
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# cascade="all, delete-orphan" 确保在 db.delete(project) 时自动删除关联的 Markdown 记录
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markdowns = relationship("Markdown", back_populates="project", cascade="all, delete-orphan")
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class Markdown(Base):
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__tablename__ = "markdowns"
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id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
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title = Column(String, nullable=False)
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s3_key = Column(String, nullable=False)
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project_id = Column(String, ForeignKey("projects.id", ondelete="CASCADE"))
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project = relationship("Project", back_populates="markdowns")
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Base.metadata.create_all(bind=engine)
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app = FastAPI()
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def get_db():
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db = SessionLocal()
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try:
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yield db
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finally:
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db.close()
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# --- API 接口 ---
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@app.get("/health")
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def health():
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return {"status": "ok"}
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@app.post("/projects")
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def create_project(name: str, db: Session = Depends(get_db)):
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project = Project(name=name)
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db.add(project)
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db.commit()
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db.refresh(project)
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return project
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@app.post("/projects/{project_id}/markdowns")
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def upload_markdown(project_id: str, title: str, content: str, db: Session = Depends(get_db)):
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project = db.query(Project).filter(Project.id == project_id).first()
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if not project:
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raise HTTPException(status_code=404, detail="Project not found")
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# 1. 存入 S3
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s3_key = f"projects/{project_id}/{uuid.uuid4()}.md"
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s3_client.put_object(
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Bucket=settings.s3_bucket_name,
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Key=s3_key,
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Body=content,
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ContentType="text/markdown"
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)
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# 2. 存入数据库
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md_record = Markdown(title=title, s3_key=s3_key, project_id=project_id)
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db.add(md_record)
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db.commit()
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return {"id": md_record.id, "s3_key": s3_key}
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@app.delete("/projects/{project_id}")
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def delete_project(project_id: str, db: Session = Depends(get_db)):
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project = db.query(Project).filter(Project.id == project_id).first()
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if not project:
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raise HTTPException(status_code=404, detail="Project not found")
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# 1. 清理 S3 中的文件
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markdowns = db.query(Markdown).filter(Markdown.project_id == project_id).all()
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if markdowns:
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keys = [{'Key': md.s3_key} for md in markdowns]
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s3_client.delete_objects(
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Bucket=settings.s3_bucket_name,
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Delete={'Objects': keys}
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)
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# 2. 从数据库删除项目 (SQLAlchemy 会自动处理 markdowns 表的级联删除)
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db.delete(project)
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db.commit()
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return {"message": f"Project {project_id} and its files have been purged."}
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