# --- Server ---
PORT=5000

# --- Database: sqlite (default) or mariadb ---
DB_TYPE=sqlite
# SQLite file (used when DB_TYPE=sqlite)
DATABASE_PATH=./data/health.db

# MariaDB (used when DB_TYPE=mariadb) — runs on the NAS
# MARIADB_SOCKET=/run/mysqld/mysqld10.sock
# MARIADB_HOST=127.0.0.1
# MARIADB_PORT=3306
# MARIADB_USER=root
# MARIADB_PASSWORD=your_nas_mariadb_root_password
# MARIADB_DATABASE=garmin_health_lab

# --- Auth ---
# CHANGE THIS in production! Used to sign JWTs (7-day expiry by default).
JWT_SECRET=dev_secret_change_me
JWT_EXPIRY_DAYS=7

# --- CORS (comma-separated allowed front-end origins) ---
CORS_ORIGIN=http://localhost:3000,http://localhost:5173

# --- AI models (text-only, large context) ---
# Put REAL keys in backend/.env — that file is gitignored. Never commit keys.
# Any model whose key is absent is skipped automatically.

# Google AI Studio -> the "gemini-flash" model id
GEMINI_API_KEY=

# NVIDIA NIM (OpenAI-compatible) -> "llama-70b", "qwen-72b", "deepseek-r1"
NVIDIA_API_KEY=
# NVIDIA_BASE_URL=https://integrate.api.nvidia.com/v1

# Preference order. The first configured model answers; if it fails or times
# out, the next one is tried automatically.
AI_MODEL_CHAIN=gemini-flash,llama-70b,qwen-72b

# Max days of history sent to the model (CSV-encoded, ~4 chars/day).
AI_DAY_BUDGET=365
AI_TIMEOUT_SECONDS=45