Add training step before deploying the API #4

	name: Continuous Deployment

	on:
	push:
	branches: [ main ]
	pull_request:
	branches: [ main ]

	jobs:
	deploy:
	runs-on: ubuntu-latest
	permissions:
	contents: read
	id-token: write

	steps:
	- name: Checkout code
	uses: actions/checkout@v2

	- name: Install dependencies
	run: \|
	pip install -r requirements.txt -r requirements-dev.txt -r requirements-test.txt

	- name: Train Model
	run: python3 ./challenge/train.py

	- name: Set up Cloud SDK
	uses: google-github-actions/[email protected]
	with:
	project_id: ${{ secrets.GCP_PROJECT_ID }}
	service_account_key: ${{ secrets.GCP_SA_KEY }}
	export_default_credentials: true

	- name: Configure Docker to use the gcloud command-line tool as a credential helper
	run: gcloud auth configure-docker

	- name: Build and Push Docker image
	run: \|
	docker build -t gcr.io/${{ secrets.GCP_PROJECT_ID }}/flight-predictor . --platform linux/amd64
	docker push gcr.io/${{ secrets.GCP_PROJECT_ID }}/flight-predictor

	- name: Deploy to Cloud Run
	id: deploy
	run: \|
	echo "Deploying to Google Cloud Run..."
	URL=$(gcloud run deploy flight-predictor-api --image gcr.io/${{ secrets.GCP_PROJECT_ID }}/flight-predictor --platform managed --region us-central1 --allow-unauthenticated --format="value(status.url)")
	echo "::set-output name=url::$URL"
	echo "Deployment completed at $URL"

	- name: Set STRESS_URL for Makefile
	run: echo "STRESS_URL=${{ steps.deploy.outputs.url }}" >> $GITHUB_ENV

	- name: Run stress tests
	run: \|
	make stress-test STRESS_URL=${{ env.STRESS_URL }}

Provide feedback