NFL Spread Predictor Pipeline #40
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| name: NFL Spread Predictor Pipeline | |
| on: | |
| # schedule: | |
| # - cron: '0 0 * * 2' | |
| workflow_dispatch: | |
| jobs: | |
| build: | |
| runs-on: ubuntu-latest | |
| permissions: | |
| contents: write | |
| steps: | |
| - name: Checkout repository | |
| uses: actions/checkout@v4 | |
| - name: Set up Python | |
| uses: actions/setup-python@v5 | |
| with: | |
| python-version: 3.12 | |
| - name: Install Poetry | |
| uses: snok/install-poetry@v1 | |
| with: | |
| version: 1.7.1 | |
| - name: Install dependencies with Poetry | |
| run: poetry install | |
| - name: Check for matchups | |
| id: check-matchups | |
| # latest_matchups_file is the most recent matchup file by filename timestamp | |
| # errors if matchup file is empty | |
| run: | | |
| poetry run python ./nfl_analytics/main.py --download-upcoming-matchups | |
| latest_matchups_file=$(ls -1t nfl_analytics/assets/matchups-*.json | head -n 1) | |
| if [[ -f "$latest_matchups_file" ]]; then | |
| echo "Latest matchups file: $latest_matchups_file" | |
| matchups_count=$(jq length "$latest_matchups_file") | |
| if [[ $matchups_count -eq 0 ]]; then | |
| echo "Error: Latest matchups file is empty." | |
| return 0 | |
| fi | |
| else | |
| echo "Error: Latest matchups file not found." | |
| return 0 | |
| fi | |
| echo "LATEST_MATCHUP_FILE=$latest_matchups_file" >> "$GITHUB_OUTPUT" | |
| - name: Download data | |
| run: poetry run python ./nfl_analytics/main.py --download | |
| # Necessary for train step | |
| # https://github.com/actions/runner-images/discussions/7188#discussioncomment-6750749 | |
| # https://stackoverflow.com/questions/71590851/r8-is-causing-gradle-daemon-to-vanish-on-github-hosted-action-runner/76921482#76921482 | |
| - name: Increase swapfile | |
| run: | | |
| df -h | |
| sudo swapoff -a | |
| sudo fallocate -l 12G /swapfile | |
| sudo chmod 600 /swapfile | |
| sudo mkswap /swapfile | |
| sudo swapon /swapfile | |
| sudo swapon --show | |
| # Seperated from Download data to make debugging easier | |
| - name: Train Model | |
| run: poetry run python ./nfl_analytics/main.py --train | |
| - name: Create release | |
| id: create_release | |
| uses: softprops/action-gh-release@v1 | |
| with: | |
| files: ./nfl_analytics/assets/* | |
| tag_name: spread-predictor | |
| draft: true | |
| # Changes to body here dont seem to update existing release | |
| body: | | |
| This release includes the trained model, scaler, and compressed CSV file needed for predictions: | |
| The machine learning model saved using joblib. | |
| - **trained_model-[timstamp].joblib:** The scaler pickled with joblib for scaling matchup inputs. | |
| - **trained_scaler-[timstamp].joblib:** The scaler pickled with joblib for scaling matchup inputs. | |
| - **running_average-[timstamp].csv.gz:** Running averages used to form matchup inputs | |
| To make predictions, use these with the main.py --predict command on asset sets with matching timestamps. | |
| # TODO: predict-upcoming step | |
| # TODO: re-use latest_matchups_file predict-upcoming step | |
| # https://docs.github.com/en/actions/using-workflows/workflow-commands-for-github-actions#setting-an-output-parameter | |
| - name: Predict upcoming matchups | |
| env: | |
| LATEST_MATCHUP_FILE: ${{ steps.check-matchups.outputs.LATEST_MATCHUP_FILE }} | |
| run: echo "The latest matchup file is $LATEST_MATCHUP_FILE" |