.env.example

# HR Candidate Scorer - Environment Configuration
# 
# ⚠️  SECURITY WARNING: 
# - NEVER commit this file with actual values to version control
# - Keep API keys secure and rotate them regularly
# - Use different environments for development/staging/production

# Google Cloud Configuration
GCP_PROJECT_ID=your-gcp-project-id-here
GCP_REGION=us-central1
GCP_LOCATION=us

# Gemini Model Configuration  
GEMINI_MODEL=gemini-2.5-pro

# 🔑 CRITICAL: Gemini API Key (Required)
# Get your API key from: https://aistudio.google.com/app/apikey
# This key starts with "AIza..." and is required for AI analysis
GEMINI_API_KEY=

# Document AI Configuration (will be auto-created if not provided)
# Leave empty - deployment script will handle this automatically
DOCUMENT_AI_PROCESSOR_ID=

# Enhanced Culture Fit Scoring Configuration (Optional)
# Set to your company website for enhanced candidate-company fit analysis
# Example: https://your-company.com
COMPANY_WEBSITE=

# Service Configuration
SERVICE_NAME=hr-scorer
PORT=8080

# Optional: Custom Service Account (will be auto-created if not provided)
SERVICE_ACCOUNT_NAME=hr-flows-sa

# 🔒 SECURITY NOTES:
# 1. Copy this file to .env and fill in your actual values
# 2. The .env file is ignored by git and won't be committed
# 3. Never share API keys or put them in public repositories
# 4. Use IAM and least-privilege access principles
# 5. Monitor API usage and set billing alerts