Merge pull request #48 from bitstarkbridge/Ledgerlens-data45 #9
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| name: Scheduled Retraining | ||
|
Check failure on line 1 in .github/workflows/retrain.yml
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||
| on: | ||
| schedule: | ||
| # Every Monday at 02:00 UTC | ||
| - cron: "0 2 * * 1" | ||
| workflow_dispatch: | ||
| inputs: | ||
| lookback_days: | ||
| description: "Days to look back for drift detection" | ||
| default: "30" | ||
| required: false | ||
| retrain_data_path: | ||
| description: "Path to labelled dataset for retraining" | ||
| default: "data/synthetic_dataset.parquet" | ||
| required: false | ||
| env: | ||
| MODEL_STORE_TYPE: ${{ vars.MODEL_STORE_TYPE || 'local' }} | ||
| permissions: | ||
| id-token: write | ||
| contents: write | ||
| issues: write | ||
| pull-requests: read | ||
| jobs: | ||
| detect-and-retrain: | ||
| runs-on: ubuntu-latest | ||
| steps: | ||
| - name: Checkout repository | ||
| uses: actions/checkout@v4 | ||
| - name: Set up Python | ||
| uses: actions/setup-python@v5 | ||
| with: | ||
| python-version: "3.11" | ||
| cache: pip | ||
| - name: Install dependencies | ||
| run: | | ||
| pip install -r requirements.txt | ||
| pip install ruff black | ||
| - name: Lint check | ||
| run: | | ||
| ruff check . | ||
| black --check . | ||
| - name: Run drift detection and retraining | ||
| id: retrain | ||
| run: | | ||
| python -m scripts.retrain_if_drifted \ | ||
| --lookback-days ${{ github.event.inputs.lookback_days || 30 }} \ | ||
| --retrain-data-path ${{ github.event.inputs.retrain_data_path || 'data/synthetic_dataset.parquet' }} \ | ||
| 2>&1 | tee retrain_output.txt | ||
| echo "exit_code=$?" >> $GITHUB_OUTPUT | ||
| - name: Upload drift reports | ||
| if: always() | ||
| uses: actions/upload-artifact@v4 | ||
| with: | ||
| name: retrain-reports | ||
| path: reports/ | ||
| retention-days: 90 | ||
| - name: Commit model artifacts on promotion | ||
| if: steps.retrain.outputs.exit_code == '2' | ||
| run: | | ||
| git config user.name "ledgerlens-bot" | ||
| git config user.email "bot@ledgerlens.ai" | ||
| git add models/ metrics.json 2>/dev/null || true | ||
| git diff --cached --quiet || \ | ||
| git commit -m "auto: promote retrained models [skip ci]" | ||
| git push | ||
| - name: Create or update tracking issue with drift report | ||
| if: always() | ||
| env: | ||
| GH_TOKEN: ${{ github.token }} | ||
| run: | | ||
| summary=$(python -c " | ||
| import json, os, glob | ||
| report_dir = 'reports' | ||
| if not os.path.isdir(report_dir): | ||
| print('No reports directory — skipping.') | ||
| exit(0) | ||
| drift_files = sorted(glob.glob(f'{report_dir}/drift_report_*.json')) | ||
| retrain_files = sorted(glob.glob(f'{report_dir}/retrain_report_*.json')) | ||
| lines = ['## Weekly Retraining Report\\n'] | ||
| if drift_files: | ||
| with open(drift_files[-1]) as f: | ||
| d = json.load(f) | ||
| lines.append(f'**Drift detected:** {d[\"any_drift_detected\"]}') | ||
| lines.append(f'**Features drifted:** {d[\"n_features_drifted\"]}/{d[\"n_features_checked\"]}') | ||
| for feat in d['features']: | ||
| flag = '⚠️' if feat['drift_flag'] else '✅' | ||
| lines.append(f'- {flag} {feat[\"feature\"]}: PSI={feat[\"psi\"]:.4f}') | ||
| if retrain_files: | ||
| with open(retrain_files[-1]) as f: | ||
| r = json.load(f) | ||
| lines.append(f'\\n**Retraining triggered:** {r[\"drift_report\"][\"any_drift_detected\"]}') | ||
| lines.append(f'**Promotion decision:** {r[\"promotion_decision\"]}') | ||
| lines.append(f'**Reason:** {r[\"reason\"]}') | ||
| body = '\\n'.join(lines) | ||
| print(body) | ||
| with open('/tmp/summary.txt', 'w') as f: | ||
| f.write(body) | ||
| ") | ||
| if [ -f /tmp/summary.txt ]; then | ||
| summary=$(cat /tmp/summary.txt) | ||
| # Find most recent open PR to comment on | ||
| pr_url=$(gh pr list --state open --limit 1 --json url --jq '.[0].url // empty') | ||
| if [ -n "$pr_url" ]; then | ||
| gh pr comment "$pr_url" --body "$summary" | ||
| else | ||
| # Create a tracking issue | ||
| today=$(date +%Y-%m-%d) | ||
| existing_issue=$(gh issue list --label retraining --state open --json number --jq '.[0].number // empty') | ||
| if [ -n "$existing_issue" ]; then | ||
| gh issue comment "$existing_issue" --body "$summary" | ||
| else | ||
| gh issue create \ | ||
| --title "Retraining Report — $today" \ | ||
| --label retraining \ | ||
| --body "$summary" | ||
| fi | ||
| fi | ||
| fi | ||
| # Optional: upload to S3/GCS if MODEL_STORE_TYPE is remote | ||
| upload-artifacts: | ||
| if: env.MODEL_STORE_TYPE == 's3' || env.MODEL_STORE_TYPE == 'gcs' | ||
| needs: detect-and-retrain | ||
| runs-on: ubuntu-latest | ||
| permissions: | ||
| id-token: write | ||
| contents: read | ||
| steps: | ||
| - name: Checkout repository | ||
| uses: actions/checkout@v4 | ||
| - name: Configure AWS credentials (OIDC) | ||
| if: env.MODEL_STORE_TYPE == 's3' | ||
| uses: aws-actions/configure-aws-credentials@v4 | ||
| with: | ||
| role-to-assume: ${{ vars.AWS_ROLE_ARN }} | ||
| aws-region: ${{ vars.AWS_REGION || 'us-east-1' }} | ||
| - name: Upload models to S3 | ||
| if: env.MODEL_STORE_TYPE == 's3' | ||
| run: | | ||
| aws s3 sync models/ s3://${{ vars.MODEL_BUCKET }}/${{ github.repository }}/ | ||
| aws s3 sync reports/ s3://${{ vars.MODEL_BUCKET }}/${{ github.repository }}/reports/ | ||
