Automated Action 6d3b1188d1 Implement AI-powered gifting platform
- Setup project structure with FastAPI
- Create database models for users, gifts, preferences, and recommendations
- Configure SQLite database with SQLAlchemy ORM
- Setup Alembic for database migrations
- Implement user authentication with JWT
- Create API endpoints for users, gifts, preferences, and recommendations
- Integrate OpenAI API for gift recommendations
- Add comprehensive documentation
2025-06-07 21:16:44 +00:00

170 lines
5.6 KiB
Python

from typing import Any, List
from fastapi import APIRouter, Depends, HTTPException, Path, Query
from sqlalchemy.orm import Session
from app.db.deps import get_current_active_user, get_db
from app.models.preference import Preference
from app.models.recommendation import Recommendation
from app.models.user import User
from app.schemas.recommendation import Recommendation as RecommendationSchema
from app.schemas.recommendation import RecommendationCreate, RecommendationUpdate
from app.services.ai_recommendation import AIRecommendationService
router = APIRouter()
recommendation_service = AIRecommendationService()
@router.get("", response_model=List[RecommendationSchema])
def read_recommendations(
db: Session = Depends(get_db),
skip: int = 0,
limit: int = 100,
recipient_name: str = Query(None, description="Filter by recipient name"),
occasion: str = Query(None, description="Filter by occasion"),
saved: bool = Query(None, description="Filter by saved status"),
current_user: User = Depends(get_current_active_user),
) -> Any:
"""
Retrieve recommendations.
"""
query = db.query(Recommendation).filter(Recommendation.user_id == current_user.id)
# Apply filters if provided
if recipient_name:
query = query.filter(Recommendation.recipient_name == recipient_name)
if occasion:
query = query.filter(Recommendation.occasion == occasion)
if saved is not None:
query = query.filter(Recommendation.saved == saved)
# Apply pagination
recommendations = query.offset(skip).limit(limit).all()
return recommendations
@router.post("", response_model=RecommendationSchema)
async def create_recommendation(
*,
db: Session = Depends(get_db),
recommendation_in: RecommendationCreate,
current_user: User = Depends(get_current_active_user),
) -> Any:
"""
Create new recommendation using AI.
"""
# Get preferences if available
preferences = None
if recommendation_in.preferences_id:
preferences = db.query(Preference).filter(
Preference.id == recommendation_in.preferences_id,
Preference.user_id == current_user.id
).first()
if not preferences:
raise HTTPException(status_code=404, detail="Preference not found")
else:
# Try to find preferences by recipient name
preferences = db.query(Preference).filter(
Preference.recipient_name == recommendation_in.recipient_name,
Preference.user_id == current_user.id
).first()
# Generate recommendation using AI
ai_recommendation = await recommendation_service.generate_recommendations(
recipient_name=recommendation_in.recipient_name,
occasion=recommendation_in.occasion,
preferences=preferences,
budget_min=recommendation_in.budget_min,
budget_max=recommendation_in.budget_max,
additional_info=recommendation_in.additional_info,
)
# Create recommendation in database
recommendation = Recommendation(
user_id=current_user.id,
recipient_name=recommendation_in.recipient_name,
occasion=recommendation_in.occasion,
recommendation_text=ai_recommendation["recommendation_text"],
item_name=ai_recommendation["item_name"],
description=ai_recommendation["description"],
price_estimate=ai_recommendation["price_estimate"],
purchase_url=ai_recommendation["purchase_url"],
saved=False,
)
db.add(recommendation)
db.commit()
db.refresh(recommendation)
return recommendation
@router.put("/{id}", response_model=RecommendationSchema)
def update_recommendation(
*,
db: Session = Depends(get_db),
id: int = Path(..., description="The ID of the recommendation to update"),
recommendation_in: RecommendationUpdate,
current_user: User = Depends(get_current_active_user),
) -> Any:
"""
Update a recommendation.
"""
recommendation = db.query(Recommendation).filter(
Recommendation.id == id,
Recommendation.user_id == current_user.id
).first()
if not recommendation:
raise HTTPException(status_code=404, detail="Recommendation not found")
update_data = recommendation_in.dict(exclude_unset=True)
for field, value in update_data.items():
setattr(recommendation, field, value)
db.add(recommendation)
db.commit()
db.refresh(recommendation)
return recommendation
@router.get("/{id}", response_model=RecommendationSchema)
def read_recommendation(
*,
db: Session = Depends(get_db),
id: int = Path(..., description="The ID of the recommendation to get"),
current_user: User = Depends(get_current_active_user),
) -> Any:
"""
Get recommendation by ID.
"""
recommendation = db.query(Recommendation).filter(
Recommendation.id == id,
Recommendation.user_id == current_user.id
).first()
if not recommendation:
raise HTTPException(status_code=404, detail="Recommendation not found")
return recommendation
@router.delete("/{id}", status_code=204, response_model=None)
def delete_recommendation(
*,
db: Session = Depends(get_db),
id: int = Path(..., description="The ID of the recommendation to delete"),
current_user: User = Depends(get_current_active_user),
) -> Any:
"""
Delete a recommendation.
"""
recommendation = db.query(Recommendation).filter(
Recommendation.id == id,
Recommendation.user_id == current_user.id
).first()
if not recommendation:
raise HTTPException(status_code=404, detail="Recommendation not found")
db.delete(recommendation)
db.commit()
return None