# Backend environment variables
# Copy this to .env and fill in values

# ── Core Application ─────────────────────────────────────────────────────────
# Application stage: 'development' or 'production'
# Production mode has stricter CORS defaults
APP_STAGE=production

# Storage directory (default: storage/ in project root)
# For Hugging Face Spaces, use: STORAGE_DIR=/tmp/ascent-storage
STORAGE_DIR=storage

# ── MongoDB (optional — omit to run in flat-file mode only) ─────────────────
MONGODB_URL=mongodb://localhost:27017
MONGODB_DB=ai_interview_sim

# ── LLM Configuration ───────────────────────────────────────────────────────
# Pre-warm Qwen2.5-7B at startup (adds ~90s to startup time)
LLM_EAGER_LOAD=false

# HuggingFace token (required for CPU Spaces to use HF Inference API)
# Without this on CPU, LLM scoring falls back to cosine similarity only
# HF_TOKEN=hf_...

# ── Answer Scoring Limits ───────────────────────────────────────────────────
# Maximum answer length in characters (~2000 words at 10000 chars)
# Prevents abuse and controls LLM API costs
MAX_ANSWER_LENGTH=10000

# Minimum answer length to prevent spam/empty submissions
MIN_ANSWER_LENGTH=10

# ── Security ─────────────────────────────────────────────────────────────────
# CORS: Comma-separated list of allowed origins
# Example: ALLOWED_ORIGINS=https://your-app.vercel.app,https://app.example.com
# If not set, defaults based on APP_STAGE (development allows localhost)
ALLOWED_ORIGINS=

# Secret for cleanup endpoint authentication (required for production)
# Generate with: openssl rand -hex 32
CLEANUP_SECRET=

# Secret for admin endpoint authentication (required for production)
# Generate with: openssl rand -hex 32
ADMIN_SECRET=

# ── Logging ──────────────────────────────────────────────────────────────────
# Python logging level: DEBUG, INFO, WARNING, ERROR
LOG_LEVEL=INFO

# ── Firebase Auth ────────────────────────────────────────────────────────────
# Path to your Firebase service account JSON, OR the JSON content as a string
# FIREBASE_SERVICE_ACCOUNT=/path/to/serviceAccountKey.json

# ── AI Gateway (Orchestration Layer) ─────────────────────────────────────────
# HuggingFace model for CPU/API inference (default: Qwen2.5-72B-Instruct)
HF_API_MODEL=Qwen/Qwen2.5-72B-Instruct

# Per-provider timeout in seconds before failover to next provider
LLM_TIMEOUT_SECONDS=30

# Number of retries per provider before switching (0 = try once then switch)
LLM_MAX_RETRIES=2

# Base delay for exponential backoff between retries (seconds)
LLM_RETRY_BASE_DELAY=1.5