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Workflow file for this run

name: HELPDESK.AI Continuous Integration (CI)
on:
push:
branches: [main]
pull_request:
branches: [main]
jobs:
# --- JOB 1: Frontend Build Verification ---
frontend-build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: "20"
cache: "npm"
cache-dependency-path: Frontend/package-lock.json
- name: Install Frontend Dependencies
run: |
cd Frontend
npm install
- name: Build Frontend (Production)
run: |
cd Frontend
npm run build
env:
VITE_SUPABASE_URL: ${{ secrets.VITE_SUPABASE_URL }}
VITE_SUPABASE_ANON_KEY: ${{ secrets.VITE_SUPABASE_ANON_KEY }}
# --- JOB 2: Backend & AI Integrity Checks ---
backend-logic:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: "3.10"
cache: "pip"
- name: Install Backend Dependencies
run: |
cd backend
pip install -r requirements.txt
- name: Verify Model Loading (Classifier Service)
# This checks if the distilbert models are correctly structured and loadable
run: |
python -c "
import os, sys
sys.path.append(os.getcwd())
from backend.services.classifier_service import ClassifierService
try:
# We expect this to fail in CI if no physical model is pushed,
# but it confirms the logic and imports are solid.
service = ClassifierService()
print('Import logic for AI Classifier is solid.')
except Exception as e:
print(f'AI Logic Error: {e}')
# Optional: exit 1 if you want to enforce model presence in Git
"