fractafrag/services/api/app/routers/feed.py
John Lightner 05d39fdda8 M0: Foundation scaffold — Docker Compose, DB schema, FastAPI app, all service stubs
Track A (Infrastructure & Data Layer):
- docker-compose.yml with all 7 services (nginx, frontend, api, mcp, renderer, worker, postgres, redis)
- docker-compose.override.yml for local dev (hot reload, port exposure)
- PostgreSQL init.sql with full schema (15 tables, pgvector indexes, creator economy stubs)
- .env.example with all required environment variables

Track A+B (API Layer):
- FastAPI app with 10 routers (auth, shaders, feed, votes, generate, desires, users, payments, mcp_keys, health)
- SQLAlchemy ORM models for all 15 tables
- Pydantic schemas for all request/response types
- JWT auth middleware (access + refresh tokens, Redis blocklist)
- Redis rate limiting middleware
- Celery worker config with job stubs (render, embed, generate, feed cache, expire bounties)
- Alembic migration framework

Service stubs:
- MCP server (health endpoint, 501 for all tools)
- Renderer service (Express + Puppeteer scaffold, 501 for /render)
- Frontend (package.json with React/Vite/Three.js/TanStack/Tailwind deps)
- Nginx reverse proxy config (/, /api, /mcp, /renders)

Project:
- DECISIONS.md with 11 recorded architectural decisions
- README.md with architecture overview
- Sample shader seed data (plasma, fractal noise, raymarched sphere)
2026-03-24 20:45:08 -05:00

86 lines
2.5 KiB
Python

"""Feed router — personalized feed, trending, new."""
from fastapi import APIRouter, Depends, Query
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select
from app.database import get_db
from app.models import User, Shader
from app.schemas import ShaderFeedItem, DwellReport
from app.middleware.auth import get_optional_user, get_current_user
router = APIRouter()
@router.get("", response_model=list[ShaderFeedItem])
async def get_feed(
limit: int = Query(20, ge=1, le=50),
cursor: str | None = Query(None),
db: AsyncSession = Depends(get_db),
user: User | None = Depends(get_optional_user),
):
"""
Personalized feed for authenticated users (pgvector taste match).
Trending/new for anonymous users.
"""
# TODO: Implement full recommendation engine (Track F)
# For now: return newest public shaders
query = (
select(Shader)
.where(Shader.is_public == True, Shader.render_status == "ready")
.order_by(Shader.created_at.desc())
.limit(limit)
)
result = await db.execute(query)
return result.scalars().all()
@router.get("/trending", response_model=list[ShaderFeedItem])
async def get_trending(
limit: int = Query(20, ge=1, le=50),
db: AsyncSession = Depends(get_db),
):
query = (
select(Shader)
.where(Shader.is_public == True, Shader.render_status == "ready")
.order_by(Shader.score.desc())
.limit(limit)
)
result = await db.execute(query)
return result.scalars().all()
@router.get("/new", response_model=list[ShaderFeedItem])
async def get_new(
limit: int = Query(20, ge=1, le=50),
db: AsyncSession = Depends(get_db),
):
query = (
select(Shader)
.where(Shader.is_public == True, Shader.render_status == "ready")
.order_by(Shader.created_at.desc())
.limit(limit)
)
result = await db.execute(query)
return result.scalars().all()
@router.post("/dwell", status_code=204)
async def report_dwell(
body: DwellReport,
db: AsyncSession = Depends(get_db),
user: User | None = Depends(get_optional_user),
):
"""Report dwell time signal for recommendation engine."""
from app.models import EngagementEvent
event = EngagementEvent(
user_id=user.id if user else None,
session_id=body.session_id,
shader_id=body.shader_id,
event_type="dwell",
dwell_secs=body.dwell_secs,
metadata={"replayed": body.replayed},
)
db.add(event)
# TODO: Update user taste vector (Track F)