Initial scaffold: FastAPI micro-service with Docker, SQLite, tests
This commit is contained in:
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# Database settings
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DATABASE_URL=sqlite:///data/app.db
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DEBUG=false
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API_PORT=8000
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# Python
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__pycache__/
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*.py[cod]
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*.egg-info/
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dist/
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build/
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.venv/
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venv/
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env/
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# Data
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data/
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*.db
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*.sqlite3
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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# Docker
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.dockerignore
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# OS
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.DS_Store
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Thumbs.db
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# Env
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.env
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.env.*
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!.env.example
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# micro-api
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"""Application configuration — env-driven, zero secrets hardcoded."""
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import os
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class Settings:
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APP_NAME: str = "micro-api"
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VERSION: str = "0.1.0"
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DEBUG: bool = os.getenv("DEBUG", "false").lower() == "true"
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DATABASE_URL: str = os.getenv("DATABASE_URL", "sqlite:///data/app.db")
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HOST: str = os.getenv("HOST", "0.0.0.0")
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PORT: int = int(os.getenv("PORT", "8000"))
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settings = Settings()
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"""Database utilities — SQLite for local/dev, prepared for Postgres."""
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import sqlite3
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from pathlib import Path
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DB_PATH = Path(__file__).resolve().parent.parent / "data" / "app.db"
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def get_connection() -> sqlite3.Connection:
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"""Return a new SQLite connection with WAL mode and foreign keys enabled."""
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DB_PATH.parent.mkdir(parents=True, exist_ok=True)
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conn = sqlite3.connect(str(DB_PATH))
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conn.execute("PRAGMA journal_mode=WAL")
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conn.execute("PRAGMA foreign_keys=ON")
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conn.row_factory = sqlite3.Row
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return conn
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def init_db():
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"""Initialize database schema."""
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conn = get_connection()
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conn.executescript("""
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CREATE TABLE IF NOT EXISTS items (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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name TEXT NOT NULL,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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""")
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conn.commit()
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conn.close()
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"""FastAPI micro-service — entry point."""
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from app.routes import router
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app = FastAPI(
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title="Micro-API",
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description="Micro-services API — lightweight, scalable foundation.",
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version="0.1.0",
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)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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app.include_router(router)
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@app.get("/")
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async def root():
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return {"service": "micro-api", "status": "running"}
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"""Pydantic models for request/response schemas."""
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from datetime import datetime
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from typing import Optional
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from pydantic import BaseModel, ConfigDict
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class ItemCreate(BaseModel):
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name: str
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class ItemResponse(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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id: int
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name: str
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created_at: Optional[datetime] = None
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"""API routes."""
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from datetime import datetime, timezone
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from fastapi import APIRouter
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router = APIRouter(prefix="/api")
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@router.get("/health")
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async def health():
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"""Health check endpoint."""
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return {
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"status": "healthy",
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"service": "micro-api",
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"version": "0.1.0",
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"timestamp": datetime.now(timezone.utc).isoformat(),
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}
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# ARCHITECTURE.md — Micro-API
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## Overview
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Micro-API is the foundation service of the organization's micro-services platform. It provides a lightweight HTTP API designed to be deployed on a single VPS and scaled horizontally as needs grow.
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## Design Principles
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1. **Zero cost** — No paid services, no cloud dependencies. Runs on the existing VPS behind Traefik/Caddy.
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2. **Simplicity first** — SQLite for local dev and single-node deploys. Postgres optional when multi-service.
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3. **Containerized** — Every service ships as a Docker container, orchestrated via docker-compose.
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4. **Stateless API** — Health-checkable, horizontally scalable behind a reverse proxy.
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5. **Tested from day one** — pytest on every service before deploy.
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## System Architecture
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```
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┌──────────────────────────────────────────┐
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│ VPS (82.165.176.5) │
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│ │
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│ ┌─────────┐ ┌──────────────────────┐ │
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│ │ Traefik │──▶│ micro-api:8000 │ │
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│ │ :443 │ │ (Docker container) │ │
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│ └─────────┘ │ FastAPI + Uvicorn │ │
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│ │ SQLite /data/ │ │
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│ └──────────────────────┘ │
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│ │
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│ ┌──────────────────────────────────┐ │
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│ │ Future services (API v2, ...) │ │
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│ └──────────────────────────────────┘ │
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└──────────────────────────────────────────┘
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```
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## Data Flow
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```
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Client ──HTTPS──▶ Traefik ──HTTP──▶ micro-api:8000
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│
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▼
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SQLite (file)
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/data/app.db
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```
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## Database Strategy
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### Phase 1 — SQLite (current)
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- Single file: `data/app.db`
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- WAL mode enabled for concurrent reads
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- Docker volume-mounted for persistence
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- Backups via `sqlite3 .backup` or file copy during VPS backup window
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### Phase 2 — Postgres (optional)
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- Add `psycopg2` to requirements
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- Set `DATABASE_URL=postgresql://...`
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- Add a `postgres` service to `docker-compose.yml`
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- Run migrations via Alembic
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## Deployment Plan
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### Target
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- VPS: `82.165.176.5` (founder@82.165.176.5)
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- Path: `/opt/micro-api/`
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- Managed via: `docker compose`
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### Steps (not yet executed)
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1. Push repo to Gitea: `http://82.165.176.5`
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2. SSH to VPS, clone to `/opt/micro-api/`
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3. `cp .env.example .env` and adjust
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4. `docker compose up -d --build`
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5. Verify: `curl http://localhost:8000/api/health`
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6. Add Traefik route label to docker-compose
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### Reverse Proxy Integration
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Add these labels to `docker-compose.yml` when Traefik is running:
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```yaml
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labels:
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- "traefik.enable=true"
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- "traefik.http.routers.micro-api.rule=Host(`api.your-domain.com`)"
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- "traefik.http.services.micro-api.loadbalancer.server.port=8000"
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```
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## Security
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- No secrets in code — everything via env vars
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- `.env` is gitignored, `.env.example` is the template
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- CORS is open (`*`) for now — restrict in production
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- Container runs as non-root in future iteration
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## Testing Strategy
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- **Unit tests**: pytest on all routes, models, and DB utilities
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- **Integration**: `TestClient` against the FastAPI app
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- **Smoke test**: `curl /api/health` after deploy
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- **CI**: GitHub Actions / Gitea Actions (future)
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## Future Services
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Each new micro-service follows the same scaffold:
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1. Copy this template
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2. Add service-specific routes/models
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3. Add to the main `docker-compose.yml`
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4. Register with Traefik
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## Maintainers
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- **Founder** — architecture decisions, deployment
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- **AutoClaw (forge agent)** — initial scaffold, CI/CD
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services:
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api:
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build:
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context: .
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dockerfile: Dockerfile
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container_name: micro-api
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ports:
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- "${API_PORT:-8000}:8000"
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environment:
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- DEBUG=${DEBUG:-false}
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- DATABASE_URL=${DATABASE_URL:-sqlite:///data/app.db}
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volumes:
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- api_data:/app/data
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/api/health')"]
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interval: 30s
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timeout: 5s
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retries: 3
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start_period: 10s
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volumes:
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api_data:
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driver: local
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# ---- Build stage ----
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FROM python:3.12-slim AS builder
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WORKDIR /app
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# Install dependencies in a venv
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COPY requirements.txt .
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RUN python -m venv /opt/venv && \
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/opt/venv/bin/pip install --no-cache-dir -r requirements.txt
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# ---- Runtime stage ----
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FROM python:3.12-slim AS runtime
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WORKDIR /app
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# Copy virtualenv from builder
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COPY --from=builder /opt/venv /opt/venv
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ENV PATH="/opt/venv/bin:$PATH"
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# Copy application code
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COPY app/ ./app/
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# Create data dir for SQLite
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RUN mkdir -p /app/data && chmod 777 /app/data
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EXPOSE 8000
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HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
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CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/api/health')" || exit 1
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
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# Micro-API
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Lightweight FastAPI micro-service foundation. Docker-ready, zero-cost deployment.
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## Stack
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- **Python 3.12** — slim Docker image
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- **FastAPI** — async web framework
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- **Uvicorn** — ASGI server
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- **SQLite** — local database (swap to Postgres via `DATABASE_URL`)
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- **Docker + Docker Compose** — containerized deployment
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## Quick Start
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### Local dev
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```bash
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python -m venv .venv
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source .venv/bin/activate # Windows: .venv\Scripts\activate
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pip install -r requirements.txt -r requirements-dev.txt
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uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
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```
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Open http://localhost:8000/api/health
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### Docker
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```bash
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docker compose up --build
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```
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### Tests
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```bash
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pytest -v
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```
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## Endpoints
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| Method | Path | Description |
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|--------|----------------|-----------------|
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| GET | `/` | Service info |
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| GET | `/api/health` | Health check |
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## Environment
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Copy `.env.example` to `.env` and adjust:
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| Variable | Default | Description |
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|----------------|-------------------------|----------------------|
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| `DATABASE_URL` | `sqlite:///data/app.db` | Database connection |
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| `DEBUG` | `false` | Enable debug mode |
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| `API_PORT` | `8000` | Host port binding |
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## Deployment
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See [ARCHITECTURE.md](ARCHITECTURE.md) for the full deployment plan.
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```bash
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# On the VPS
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git clone <repo-url> /opt/micro-api
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cd /opt/micro-api
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docker compose up -d --build
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```
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## Project Structure
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```
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micro-api/
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├── app/
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│ ├── __init__.py
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│ ├── main.py # FastAPI app entry point
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│ ├── routes.py # API routes
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│ ├── models.py # Pydantic schemas
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│ ├── database.py # SQLite utilities
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│ └── config.py # App settings
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├── tests/
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│ ├── __init__.py
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│ └── test_main.py # API tests
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├── Dockerfile
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├── docker-compose.yml
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├── requirements.txt
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├── requirements-dev.txt
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├── .env.example
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├── .gitignore
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├── README.md
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└── ARCHITECTURE.md
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```
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pytest>=8.0.0,<9.0.0
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httpx>=0.28.0,<1.0.0
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@@ -0,0 +1,4 @@
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fastapi>=0.115.0,<1.0.0
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uvicorn[standard]>=0.34.0,<1.0.0
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pydantic>=2.0.0,<3.0.0
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python-dotenv>=1.0.0,<2.0.0
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# tests
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"""Tests for the FastAPI application."""
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import pytest
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from fastapi.testclient import TestClient
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from app.main import app
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client = TestClient(app)
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class TestHealth:
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def test_health_endpoint_returns_200(self):
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response = client.get("/api/health")
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assert response.status_code == 200
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data = response.json()
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assert data["status"] == "healthy"
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assert data["service"] == "micro-api"
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assert data["version"] == "0.1.0"
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assert "timestamp" in data
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def test_root_returns_service_info(self):
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response = client.get("/")
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assert response.status_code == 200
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data = response.json()
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assert data["service"] == "micro-api"
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assert data["status"] == "running"
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class TestDatabase:
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def test_init_db_creates_tables(self):
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from app.database import init_db
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# Should not raise
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init_db()
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class TestModels:
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def test_item_create_validation(self):
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from app.models import ItemCreate
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item = ItemCreate(name="test-item")
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assert item.name == "test-item"
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def test_item_create_requires_name(self):
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from app.models import ItemCreate
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with pytest.raises(Exception):
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ItemCreate()
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def test_item_response_serialization(self):
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from app.models import ItemResponse
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item = ItemResponse(id=1, name="test")
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data = item.model_dump()
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assert data["id"] == 1
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assert data["name"] == "test"
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