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deploy: revert to 733e96b
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name: Hyperlocal ML Platform CI
on:
push:
branches: [ main, master ]
pull_request:
branches: [ main, master ]
jobs:
test-backend:
runs-on: ubuntu-latest
steps:
- name: Checkout Repository
uses: actions/checkout@v4
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: '3.10'
cache: 'pip'
- name: Install Python Dependencies
run: |
python -m pip install --upgrade pip
pip install -r requirements.txt pytest pytest-asyncio httpx lightgbm opentelemetry-api opentelemetry-sdk
- name: Run Backend Pytest Test Suite
run: |
PYTHONPATH=. python -m pytest tests/ -v
ml-benchmark:
runs-on: ubuntu-latest
steps:
- name: Checkout Repository
uses: actions/checkout@v4
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: '3.10'
cache: 'pip'
- name: Install Python Dependencies
run: |
python -m pip install --upgrade pip
pip install -r requirements.txt pytest pytest-asyncio httpx lightgbm opentelemetry-api opentelemetry-sdk
- name: Run M5 Benchmark Evaluation
run: PYTHONPATH=. python benchmarks/run_m5_eval.py
- name: Assert WMAPE Lift > 0
run: |
python -c "
import json
r = json.load(open('benchmarks/results/m5_benchmark_results.json'))
assert r['wmape_lift_pct'] > 0, f'Tobit must outperform OLS. Got {r[\"wmape_lift_pct\"]:.2f}%'
print(f'WMAPE lift: {r[\"wmape_lift_pct\"]:.2f}% — PASS')
"
- name: Upload Benchmark Results
uses: actions/upload-artifact@v4
with:
name: m5-benchmark-results
path: benchmarks/results/m5_benchmark_results.json
build-frontend:
runs-on: ubuntu-latest
steps:
- name: Checkout Repository
uses: actions/checkout@v4
- name: Install Node.js 20
uses: actions/setup-node@v4
with:
node-version: '20'
- name: Install Frontend Dependencies
run: |
cd frontend
npm install
- name: Compile Frontend Production Assets
run: |
cd frontend
npm run build