Heim >Backend-Entwicklung >Python-Tutorial >Bereitstellen eines zustandslosen Containers in der Cloud
I will demonstrate how to deploy a simple container on cloud run.
Cloud Run is a fully managed platform that enables you to run your code directly on top of Google’s scalable infrastructure. Cloud Run is simple, automated, and designed to make you more productive.
I followed official fastapi doc to spin up a hello world app
Create a requirements.txt file
fastapi[standard] pydantic>=2.7.0,<3.0.0
from typing import Union from fastapi import FastAPI app = FastAPI() @app.get("/") def read_root(): return {"Hello": "World"} @app.get("/items/{item_id}") def read_item(item_id: int, q: Union[str, None] = None): return {"item_id": item_id, "q": q}
Create a Dockerfile
FROM python:3.9 WORKDIR /code COPY ./requirements.txt /code/requirements.txt RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt COPY ./app /code/app CMD ["fastapi", "run", "app/main.py", "--port", "80"]
GitHub Action
In order for the GitHub actions process to pick up the YAML file, there’s specific location for it to live. Each repository using actions requires a directory structure called /.github/workflows
*Configure this workflow with GCP more info *
# This workflow build and push a Docker container to Google Artifact Registry # and deploy it on Cloud Run when a commit is pushed to the $default-branch # branch. # # To configure this workflow: # # 1. Enable the following Google Cloud APIs: # # - Artifact Registry (artifactregistry.googleapis.com) # - Cloud Run (run.googleapis.com) # - IAM Credentials API (iamcredentials.googleapis.com) # # You can learn more about enabling APIs at # https://support.google.com/googleapi/answer/6158841. # # 2. Create and configure a Workload Identity Provider for GitHub: # https://github.com/google-github-actions/auth#preferred-direct-workload-identity-federation. # # Depending on how you authenticate, you will need to grant an IAM principal # permissions on Google Cloud: # # - Artifact Registry Administrator (roles/artifactregistry.admin) # - Cloud Run Developer (roles/run.developer) # # You can learn more about setting IAM permissions at # https://cloud.google.com/iam/docs/manage-access-other-resources # # 3. Change the values in the "env" block to match your values.
Create a file google-cloudrun-docker.yml
name: 'Build and Deploy to Cloud Run' on: push: branches: - '$default-branch' env: PROJECT_ID: 'my-project' # TODO: update to your Google Cloud project ID REGION: 'us-central1' # TODO: update to your region SERVICE: 'my-service' # TODO: update to your service name WORKLOAD_IDENTITY_PROVIDER: 'projects/123456789/locations/global/workloadIdentityPools/my-pool/providers/my-provider' # TODO: update to your workload identity provider jobs: deploy: runs-on: 'ubuntu-latest' permissions: contents: 'read' id-token: 'write' steps: - name: 'Checkout' uses: 'actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332' # actions/checkout@v4 # Configure Workload Identity Federation and generate an access token. # # See https://github.com/google-github-actions/auth for more options, # including authenticating via a JSON credentials file. - id: 'auth' name: 'Authenticate to Google Cloud' uses: 'google-github-actions/auth@f112390a2df9932162083945e46d439060d66ec2' # google-github-actions/auth@v2 with: workload_identity_provider: '${{ env.WORKLOAD_IDENTITY_PROVIDER }}' # BEGIN - Docker auth and build # # If you already have a container image, you can omit these steps. - name: 'Docker Auth' uses: 'docker/login-action@9780b0c442fbb1117ed29e0efdff1e18412f7567' # docker/login-action@v3 with: username: 'oauth2accesstoken' password: '${{ steps.auth.outputs.auth_token }}' registry: '${{ env.REGION }}-docker.pkg.dev' - name: 'Build and Push Container' run: |- DOCKER_TAG="$${{ env.REGION }}-docker.pkg.dev/${{ env.PROJECT_ID }}/${{ env.SERVICE }}:${{ github.sha }}" docker build --tag "${DOCKER_TAG}" . docker push "${DOCKER_TAG}" - name: 'Deploy to Cloud Run' # END - Docker auth and build uses: 'google-github-actions/deploy-cloudrun@33553064113a37d688aa6937bacbdc481580be17' # google-github-actions/deploy-cloudrun@v2 with: service: '${{ env.SERVICE }}' region: '${{ env.REGION }}' # NOTE: If using a pre-built image, update the image name below: image: '${{ env.REGION }}-docker.pkg.dev/${{ env.PROJECT_ID }}/${{ env.SERVICE }}:${{ github.sha }}' # If required, use the Cloud Run URL output in later steps - name: 'Show output' run: |2- echo ${{ steps.deploy.outputs.url }}
Directory Structure
You should now have a directory structure like:
├── app │ ├── __init__.py │ └── main.py ├── Dockerfile └── requirements.txt └── requirements.txt ├── .github │ ├── workflows ├── google-cloudrun-docker.yml
> 1. Create a new repo in gitHUb > 2. Push your exisisting code to new repository on default branch
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