Algopharma_backend / api /projects.py
organic266-star
Add AlgoPharma FastAPI backend and Docker deployment
b34e73d
"""
AlgoPharma — Projects API router.
"""
import json
from fastapi import APIRouter, Depends, HTTPException
from pydantic import BaseModel
from sqlalchemy.orm import Session
from database import get_db
from models import Project, Keyword
router = APIRouter(prefix="/api/projects", tags=["Projects"])
class ProjectCreate(BaseModel):
name: str
description: str = ""
class KeywordCreate(BaseModel):
term: str
synonyms: list[str] = []
@router.post("")
def create_project(body: ProjectCreate, db: Session = Depends(get_db)):
existing = db.query(Project).filter(Project.name == body.name).first()
if existing:
raise HTTPException(status_code=409, detail="Project with this name already exists")
project = Project(name=body.name, description=body.description)
db.add(project)
db.commit()
db.refresh(project)
return {"id": project.id, "name": project.name, "description": project.description}
@router.get("")
def list_projects(db: Session = Depends(get_db)):
projects = db.query(Project).all()
return [
{"id": p.id, "name": p.name, "description": p.description,
"created_at": str(p.created_at)}
for p in projects
]
@router.post("/{project_id}/keywords")
def add_keyword(project_id: int, body: KeywordCreate, db: Session = Depends(get_db)):
project = db.get(Project, project_id)
if not project:
raise HTTPException(status_code=404, detail="Project not found")
kw = Keyword(
project_id=project_id,
term=body.term,
synonyms=json.dumps(body.synonyms),
)
db.add(kw)
db.commit()
db.refresh(kw)
return {"id": kw.id, "term": kw.term, "synonyms": body.synonyms}
@router.get("/{project_id}/keywords")
def list_keywords(project_id: int, db: Session = Depends(get_db)):
project = db.get(Project, project_id)
if not project:
raise HTTPException(status_code=404, detail="Project not found")
keywords = db.query(Keyword).filter(Keyword.project_id == project_id).all()
return [
{"id": k.id, "term": k.term, "synonyms": json.loads(k.synonyms) if k.synonyms else []}
for k in keywords
]