.env.example

# ════════════════════════════════════════════════
#  BREATHE — Sample Environment File
#  Copy this file to .env and fill in your values.
#  NEVER commit the real .env to version control.
# ════════════════════════════════════════════════

# ── Flask ────────────────────────────────────────
FLASK_APP=app.py
FLASK_DEBUG=true         # set to false in production

# A long random string — generate with: python -c "import secrets; print(secrets.token_hex(32))"
SECRET_KEY=change-me-to-a-very-long-random-secret-key

# ── Database ─────────────────────────────────────
# SQLite (default, zero-config)
DATABASE_URL=sqlite:///breathe.db

# PostgreSQL (recommended for production)
# DATABASE_URL=postgresql://user:password@localhost:5432/breathe

# ── ML Model Paths ───────────────────────────────
# Directory containing the saved psychometric model artefacts:
#   base_scaler.pkl, final_scaler.pkl, le_dict.pkl, le_target.pkl,
#   selected_cols.pkl, poly.pkl, top_num.pkl,
#   lightgbm_best_model.pkl (or another *_best_model.pkl)
PSYCHO_MODEL_DIR=models/psychometric

# Path to the RoBERTa .pt checkpoint file
ROBERTA_CKPT=models/text/roberta-model.pt

# ── Server ───────────────────────────────────────
HOST=0.0.0.0
PORT=5000

# ── CORS (comma-separated origins) ──────────────
# Leave as * for development, restrict in production
CORS_ORIGINS=*

# ── W&B (only needed if you re-train models) ─────
# WANDB_API_KEY=your_wandb_api_key_here