Initial scaffold: FastAPI micro-service with Docker, SQLite, tests

This commit is contained in:
founder
2026-06-05 02:45:49 +02:00
commit 350143ceb4
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# Database settings
DATABASE_URL=sqlite:///data/app.db
DEBUG=false
API_PORT=8000
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# Python
__pycache__/
*.py[cod]
*.egg-info/
dist/
build/
.venv/
venv/
env/
# Data
data/
*.db
*.sqlite3
# IDE
.vscode/
.idea/
*.swp
*.swo
# Docker
.dockerignore
# OS
.DS_Store
Thumbs.db
# Env
.env
.env.*
!.env.example
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# micro-api
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"""Application configuration — env-driven, zero secrets hardcoded."""
import os
class Settings:
APP_NAME: str = "micro-api"
VERSION: str = "0.1.0"
DEBUG: bool = os.getenv("DEBUG", "false").lower() == "true"
DATABASE_URL: str = os.getenv("DATABASE_URL", "sqlite:///data/app.db")
HOST: str = os.getenv("HOST", "0.0.0.0")
PORT: int = int(os.getenv("PORT", "8000"))
settings = Settings()
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"""Database utilities — SQLite for local/dev, prepared for Postgres."""
import sqlite3
from pathlib import Path
DB_PATH = Path(__file__).resolve().parent.parent / "data" / "app.db"
def get_connection() -> sqlite3.Connection:
"""Return a new SQLite connection with WAL mode and foreign keys enabled."""
DB_PATH.parent.mkdir(parents=True, exist_ok=True)
conn = sqlite3.connect(str(DB_PATH))
conn.execute("PRAGMA journal_mode=WAL")
conn.execute("PRAGMA foreign_keys=ON")
conn.row_factory = sqlite3.Row
return conn
def init_db():
"""Initialize database schema."""
conn = get_connection()
conn.executescript("""
CREATE TABLE IF NOT EXISTS items (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
""")
conn.commit()
conn.close()
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"""FastAPI micro-service — entry point."""
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from app.routes import router
app = FastAPI(
title="Micro-API",
description="Micro-services API — lightweight, scalable foundation.",
version="0.1.0",
)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app.include_router(router)
@app.get("/")
async def root():
return {"service": "micro-api", "status": "running"}
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"""Pydantic models for request/response schemas."""
from datetime import datetime
from typing import Optional
from pydantic import BaseModel, ConfigDict
class ItemCreate(BaseModel):
name: str
class ItemResponse(BaseModel):
model_config = ConfigDict(from_attributes=True)
id: int
name: str
created_at: Optional[datetime] = None
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"""API routes."""
from datetime import datetime, timezone
from fastapi import APIRouter
router = APIRouter(prefix="/api")
@router.get("/health")
async def health():
"""Health check endpoint."""
return {
"status": "healthy",
"service": "micro-api",
"version": "0.1.0",
"timestamp": datetime.now(timezone.utc).isoformat(),
}
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# ARCHITECTURE.md — Micro-API
## Overview
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.
## Design Principles
1. **Zero cost** — No paid services, no cloud dependencies. Runs on the existing VPS behind Traefik/Caddy.
2. **Simplicity first** — SQLite for local dev and single-node deploys. Postgres optional when multi-service.
3. **Containerized** — Every service ships as a Docker container, orchestrated via docker-compose.
4. **Stateless API** — Health-checkable, horizontally scalable behind a reverse proxy.
5. **Tested from day one** — pytest on every service before deploy.
## System Architecture
```
┌──────────────────────────────────────────┐
│ VPS (82.165.176.5) │
│ │
│ ┌─────────┐ ┌──────────────────────┐ │
│ │ Traefik │──▶│ micro-api:8000 │ │
│ │ :443 │ │ (Docker container) │ │
│ └─────────┘ │ FastAPI + Uvicorn │ │
│ │ SQLite /data/ │ │
│ └──────────────────────┘ │
│ │
│ ┌──────────────────────────────────┐ │
│ │ Future services (API v2, ...) │ │
│ └──────────────────────────────────┘ │
└──────────────────────────────────────────┘
```
## Data Flow
```
Client ──HTTPS──▶ Traefik ──HTTP──▶ micro-api:8000
SQLite (file)
/data/app.db
```
## Database Strategy
### Phase 1 — SQLite (current)
- Single file: `data/app.db`
- WAL mode enabled for concurrent reads
- Docker volume-mounted for persistence
- Backups via `sqlite3 .backup` or file copy during VPS backup window
### Phase 2 — Postgres (optional)
- Add `psycopg2` to requirements
- Set `DATABASE_URL=postgresql://...`
- Add a `postgres` service to `docker-compose.yml`
- Run migrations via Alembic
## Deployment Plan
### Target
- VPS: `82.165.176.5` (founder@82.165.176.5)
- Path: `/opt/micro-api/`
- Managed via: `docker compose`
### Steps (not yet executed)
1. Push repo to Gitea: `http://82.165.176.5`
2. SSH to VPS, clone to `/opt/micro-api/`
3. `cp .env.example .env` and adjust
4. `docker compose up -d --build`
5. Verify: `curl http://localhost:8000/api/health`
6. Add Traefik route label to docker-compose
### Reverse Proxy Integration
Add these labels to `docker-compose.yml` when Traefik is running:
```yaml
labels:
- "traefik.enable=true"
- "traefik.http.routers.micro-api.rule=Host(`api.your-domain.com`)"
- "traefik.http.services.micro-api.loadbalancer.server.port=8000"
```
## Security
- No secrets in code — everything via env vars
- `.env` is gitignored, `.env.example` is the template
- CORS is open (`*`) for now — restrict in production
- Container runs as non-root in future iteration
## Testing Strategy
- **Unit tests**: pytest on all routes, models, and DB utilities
- **Integration**: `TestClient` against the FastAPI app
- **Smoke test**: `curl /api/health` after deploy
- **CI**: GitHub Actions / Gitea Actions (future)
## Future Services
Each new micro-service follows the same scaffold:
1. Copy this template
2. Add service-specific routes/models
3. Add to the main `docker-compose.yml`
4. Register with Traefik
## Maintainers
- **Founder** — architecture decisions, deployment
- **AutoClaw (forge agent)** — initial scaffold, CI/CD
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services:
api:
build:
context: .
dockerfile: Dockerfile
container_name: micro-api
ports:
- "${API_PORT:-8000}:8000"
environment:
- DEBUG=${DEBUG:-false}
- DATABASE_URL=${DATABASE_URL:-sqlite:///data/app.db}
volumes:
- api_data:/app/data
restart: unless-stopped
healthcheck:
test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/api/health')"]
interval: 30s
timeout: 5s
retries: 3
start_period: 10s
volumes:
api_data:
driver: local
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# ---- Build stage ----
FROM python:3.12-slim AS builder
WORKDIR /app
# Install dependencies in a venv
COPY requirements.txt .
RUN python -m venv /opt/venv && \
/opt/venv/bin/pip install --no-cache-dir -r requirements.txt
# ---- Runtime stage ----
FROM python:3.12-slim AS runtime
WORKDIR /app
# Copy virtualenv from builder
COPY --from=builder /opt/venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
# Copy application code
COPY app/ ./app/
# Create data dir for SQLite
RUN mkdir -p /app/data && chmod 777 /app/data
EXPOSE 8000
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/api/health')" || exit 1
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
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# Micro-API
Lightweight FastAPI micro-service foundation. Docker-ready, zero-cost deployment.
## Stack
- **Python 3.12** — slim Docker image
- **FastAPI** — async web framework
- **Uvicorn** — ASGI server
- **SQLite** — local database (swap to Postgres via `DATABASE_URL`)
- **Docker + Docker Compose** — containerized deployment
## Quick Start
### Local dev
```bash
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -r requirements.txt -r requirements-dev.txt
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
```
Open http://localhost:8000/api/health
### Docker
```bash
docker compose up --build
```
### Tests
```bash
pytest -v
```
## Endpoints
| Method | Path | Description |
|--------|----------------|-----------------|
| GET | `/` | Service info |
| GET | `/api/health` | Health check |
## Environment
Copy `.env.example` to `.env` and adjust:
| Variable | Default | Description |
|----------------|-------------------------|----------------------|
| `DATABASE_URL` | `sqlite:///data/app.db` | Database connection |
| `DEBUG` | `false` | Enable debug mode |
| `API_PORT` | `8000` | Host port binding |
## Deployment
See [ARCHITECTURE.md](ARCHITECTURE.md) for the full deployment plan.
```bash
# On the VPS
git clone <repo-url> /opt/micro-api
cd /opt/micro-api
docker compose up -d --build
```
## Project Structure
```
micro-api/
├── app/
│ ├── __init__.py
│ ├── main.py # FastAPI app entry point
│ ├── routes.py # API routes
│ ├── models.py # Pydantic schemas
│ ├── database.py # SQLite utilities
│ └── config.py # App settings
├── tests/
│ ├── __init__.py
│ └── test_main.py # API tests
├── Dockerfile
├── docker-compose.yml
├── requirements.txt
├── requirements-dev.txt
├── .env.example
├── .gitignore
├── README.md
└── ARCHITECTURE.md
```
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pytest>=8.0.0,<9.0.0
httpx>=0.28.0,<1.0.0
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fastapi>=0.115.0,<1.0.0
uvicorn[standard]>=0.34.0,<1.0.0
pydantic>=2.0.0,<3.0.0
python-dotenv>=1.0.0,<2.0.0
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# tests
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"""Tests for the FastAPI application."""
import pytest
from fastapi.testclient import TestClient
from app.main import app
client = TestClient(app)
class TestHealth:
def test_health_endpoint_returns_200(self):
response = client.get("/api/health")
assert response.status_code == 200
data = response.json()
assert data["status"] == "healthy"
assert data["service"] == "micro-api"
assert data["version"] == "0.1.0"
assert "timestamp" in data
def test_root_returns_service_info(self):
response = client.get("/")
assert response.status_code == 200
data = response.json()
assert data["service"] == "micro-api"
assert data["status"] == "running"
class TestDatabase:
def test_init_db_creates_tables(self):
from app.database import init_db
# Should not raise
init_db()
class TestModels:
def test_item_create_validation(self):
from app.models import ItemCreate
item = ItemCreate(name="test-item")
assert item.name == "test-item"
def test_item_create_requires_name(self):
from app.models import ItemCreate
with pytest.raises(Exception):
ItemCreate()
def test_item_response_serialization(self):
from app.models import ItemResponse
item = ItemResponse(id=1, name="test")
data = item.model_dump()
assert data["id"] == 1
assert data["name"] == "test"