> ## Documentation Index > Fetch the complete documentation index at: https://bunny.net/docs/llms.txt > Use this file to discover all available pages before exploring further. # Python API with FastAPI > Deploy a Python API with FastAPI to Magic Containers This guide walks you through building and deploying a Python API using FastAPI to Magic Containers with GitHub Container Registry. You'll need: * A GitHub account for source code and container registry > [!TIP] > > Don't have a bunny.net account yet? [Sign up](https://dash.bunny.net/auth/register) and enable Magic Containers to get started. ## Create the FastAPI app Create a new directory with the following files: ```python main.py theme={null} from fastapi import FastAPI import os app = FastAPI() @app.get("/") def read_root(): return {"message": "Hello from Bunny 🐰"} if __name__ == "__main__": import uvicorn port = int(os.environ.get("PORT", 80)) uvicorn.run(app, host="0.0.0.0", port=port) ``` ```txt requirements.txt theme={null} fastapi==0.115.6 uvicorn==0.34.0 ``` ## Run locally Install dependencies and start the development server: ```bash theme={null} pip install -r requirements.txt uvicorn main:app --reload ``` Test the API: ```bash theme={null} curl http://localhost:8000/ ``` ## Create the Dockerfile ```dockerfile Dockerfile theme={null} FROM python:3.12-slim WORKDIR /app COPY requirements.txt . RUN pip install --no-cache-dir -r requirements.txt COPY main.py . EXPOSE 80 CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80"] ``` ## Build and push to GitHub Container Registry > [tab] GitHub Actions > > Create `.github/workflows/build.yml` to automatically build and push on every commit to `main`: > > ```yaml .github/workflows/build.yml theme={null} > name: Build and Push > > on: > push: > branches: [main] > > env: > REGISTRY: ghcr.io > IMAGE_NAME: ${{ github.repository }} > > jobs: > build-and-push: > runs-on: ubuntu-latest > permissions: > contents: read > packages: write > > steps: > - uses: actions/checkout@v4 > > - name: Log in to GitHub Container Registry > uses: docker/login-action@v3 > with: > registry: ${{ env.REGISTRY }} > username: ${{ github.actor }} > password: ${{ secrets.GITHUB_TOKEN }} > > - name: Build and push > uses: docker/build-push-action@v5 > with: > context: . > push: true > tags: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:${{ github.sha }} > > - name: Update container image on Magic Containers > uses: BunnyWay/actions/container-update-image@main > with: > app_id: ${{ vars.APP_ID }} > api_key: ${{ secrets.BUNNYNET_API_KEY }} > container: app > image_tag: "${{ github.sha }}" > ``` > > Push your code to trigger the workflow: > > ```bash theme={null} > git init > git add . > git commit -m "Initial commit" > git remote add origin https://github.com/YOUR_USERNAME/app-fastapi.git > git push -u origin main > ``` > [tab] Docker CLI > > Build and push manually from your local machine. > > **1. Create a Personal Access Token** > > Go to [GitHub Settings > Developer settings > Personal access tokens](https://github.com/settings/tokens) and create a token with `write:packages` scope. > > **2. Log in to GitHub Container Registry** > > ```bash theme={null} > export CR_PAT=your_personal_access_token > echo $CR_PAT | docker login ghcr.io -u YOUR_USERNAME --password-stdin > ``` > > **3. Build the image** > > ```bash theme={null} > docker build --platform linux/amd64 -t ghcr.io/YOUR_USERNAME/app-fastapi:latest . > ``` > > > [!NOTE] > > > > Magic Containers only supports images built for the **linux/amd64** architecture. The `--platform` flag ensures compatibility regardless of your local machine's architecture. > > **4. Push to registry** > > ```bash theme={null} > docker push ghcr.io/YOUR_USERNAME/app-fastapi:latest > ``` > [!NOTE] > > If your package is private, set the visibility to **Public** in GitHub or > [configure Magic Containers with registry > credentials](https://bunny.net/docs/magic-containers/image-registries.md). ## Deploy to Magic Containers **1. Create a new app** In the bunny.net dashboard, go to **Magic Containers** and click **Add App**. Enter a name and select your deployment option. **2. Add a container** Click **Add Container**, then configure: | Field | Value | | - | - | | Registry | GitHub Container Registry | | Image | `YOUR_USERNAME/{imageName}` | | Tag | `latest` for Docker CLI, or the commit SHA from your GitHub Actions workflow | **3. Add an endpoint** Go to the **Endpoints** tab, click **Add New Endpoint**, and set the container port to `80`. **4. Deploy** Click **Add Container**, then **Next Step**, and **Confirm and Create**. For more details, see the [quickstart guide](https://bunny.net/docs/magic-containers/quickstart.md). ## Test your API ```bash theme={null} curl https://mc-xxx.bunny.run/ ``` ```json Response theme={null} { "message": "Hello from Bunny 🐰" } ``` > [!NOTE] > > You can [add a custom hostname](https://bunny.net/docs/magic-containers/endpoints.md) from the **Endpoints** section in your app settings. ## Connect a database You can connect your app to [Bunny Database](https://bunny.net/docs/database.md) directly from the dashboard: 1. Go to **Database > \[Your Database] > Access** 2. Click **Generate Tokens** 3. Click **Add Secrets to Magic Container App** 4. Select your app The `BUNNY_DATABASE_URL` and `BUNNY_DATABASE_AUTH_TOKEN` environment variables are now available in your app: ```python theme={null} import libsql_experimental as libsql import os conn = libsql.connect( database=os.environ["BUNNY_DATABASE_URL"], auth_token=os.environ["BUNNY_DATABASE_AUTH_TOKEN"] ) result = conn.execute("SELECT * FROM users").fetchall() ``` See the [Bunny Database documentation](https://bunny.net/docs/database.md) for more details. ## Next steps 1. [Automate deploys with GitHub Actions](https://bunny.net/docs/magic-containers/deploy-with-github-actions.md) 2. [Add a custom hostname](https://bunny.net/docs/magic-containers/endpoints.md) 3. [Add a persistent volume](https://bunny.net/docs/magic-containers/persistent-volumes.md) This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.