Daily Portfolio Analytics #177

	name: Daily Portfolio Analytics

	on:
	schedule:
	- cron: '0 21 * * 1-5' # 21h00, du lundi au vendredi
	workflow_dispatch:

	jobs:
	portfolio-optimization:
	name: Run ML Pipeline & Sync to Hugging Face
	runs-on: ubuntu-latest
	timeout-minutes: 20

	steps:
	- name: 📥 Checkout code
	uses: actions/checkout@v4
	with:
	fetch-depth: 0

	- name: 🐍 Setup Python 3.11
	uses: actions/setup-python@v5
	with:
	python-version: '3.11'
	cache: 'pip'

	- name: 📦 Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install -r requirements.txt

	- name: Execute Daily Pipeline
	run: \|
	echo "Starting portfolio analytics pipeline..."
	export PYTHONPATH=$PYTHONPATH:.
	python src/pipeline/daily_run.py
	echo "Pipeline completed successfully"
	env:
	PYTHONUNBUFFERED: 1
	TZ: Europe/Paris
	HF_TOKEN: ${{ secrets.HF_TOKEN }}
	MLFLOW_TRACKING_USERNAME: "SORADATA"
	MLFLOW_TRACKING_PASSWORD: ${{ secrets.HF_TOKEN }}


	- name: 📋 Generate job summary
	if: always()
	run: \|
	echo "## AlphaEdge Daily Summary" >> $GITHUB_STEP_SUMMARY
	echo "- Status: ${{ job.status }}" >> $GITHUB_STEP_SUMMARY
	echo "- Run date: $(date +'%Y-%m-%d %H:%M %Z')" >> $GITHUB_STEP_SUMMARY
	echo "- Market: CAC40 & US_TECH" >> $GITHUB_STEP_SUMMARY
	# Ajouter un lien vers le rapport si tu génères un artifact
	echo "Check the logs above for detailed performance metrics." >> $GITHUB_STEP_SUMMARY

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