05d39fdda8
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)
33 lines
756 B
TOML
33 lines
756 B
TOML
[project]
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name = "fractafrag-api"
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version = "0.1.0"
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description = "Fractafrag API — GLSL shader platform backend"
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requires-python = ">=3.12"
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dependencies = [
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"fastapi>=0.115.0",
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"uvicorn[standard]>=0.32.0",
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"sqlalchemy[asyncio]>=2.0.36",
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"asyncpg>=0.30.0",
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"psycopg2-binary>=2.9.10",
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"alembic>=1.14.0",
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"pydantic>=2.10.0",
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"pydantic-settings>=2.7.0",
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"pgvector>=0.3.6",
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"redis>=5.2.0",
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"celery[redis]>=5.4.0",
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"passlib[bcrypt]>=1.7.4",
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"python-jose[cryptography]>=3.3.0",
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"httpx>=0.28.0",
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"python-multipart>=0.0.12",
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"stripe>=11.0.0",
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"numpy>=2.0.0",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=8.0",
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"pytest-asyncio>=0.24.0",
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"httpx>=0.28.0",
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"ruff>=0.8.0",
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]
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