Train and save model to GCS #9
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| name: Train and save model to GCS # Define the name of the GitHub Actions workflow | |
| on: | |
| schedule: | |
| - cron: '0 0 * * *' # Run every day at midnight | |
| workflow_dispatch: # Allow manual trigger of the workflow | |
| jobs: | |
| train_and_save: # Define a job called "train_and_save" | |
| runs-on: ubuntu-latest # Specify the runner environment to use the latest version of Ubuntu | |
| steps: | |
| - name: Checkout the code # First step: Checkout the repository code | |
| uses: actions/checkout@v4 # Use GitHub's checkout action, version 4 | |
| - name: Set up Python # Set up a specific Python version for the runner | |
| uses: actions/setup-python@v5 # Use the setup-python action, version 5 | |
| with: | |
| python-version: '3.11' # Specify the Python version to set up | |
| - name: Get cache dir # Get the directory where pip caches files | |
| id: pip-cache-dir # Assign an ID to reference this step's outputs | |
| run: echo "dir=$(pip cache dir)" >> $GITHUB_OUTPUT # Output the pip cache directory to use in subsequent steps | |
| - name: Cache pip dependencies # Cache the pip dependencies to speed up builds | |
| uses: actions/cache@v4 # Use the cache action, version 4 | |
| with: | |
| path: ${{ steps.pip-cache-dir.outputs.dir }} # Specify the path to cache based on the previous step | |
| key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }} # Define a key for the cache | |
| restore-keys: | # Define fallback keys to restore the cache if exact match not found | |
| ${{ runner.os }}-pip- | |
| - name: Install dependencies # Install project dependencies | |
| run: | | |
| python -m pip install --upgrade pip # Upgrade pip to the latest version | |
| pip install -r Labs/Github_Labs/Lab3/requirements.txt # Install dependencies from the requirements.txt file | |
| - name: Authenticate with GCP # Authenticate to Google Cloud Platform | |
| uses: 'google-github-actions/auth@v2' # Use the Google authentication action, version 2 | |
| with: | |
| credentials_json: '${{ secrets.GCP_SA_KEY }}' # Use GCP service account key stored in GitHub secrets | |
| - name: Train and save model # Train the model and save it to Google Cloud Storage | |
| run: | | |
| python Labs/Github_Labs/Lab3/train_and_save_model.py # Run the script to train the model and save it |