"""
Build-time ML training script.
Called during Docker build — if training fails (e.g. yfinance rate-limited),
exits with code 1 so Dockerfile's `|| true` skips it gracefully.
The entrypoint will re-train at runtime as fallback.
"""
import os
import sys

os.makedirs("data", exist_ok=True)

try:
    from tools.tool_ml_train import train_model, train_etf_model
    print("==> Build-time ML training...")
    train_model()
    train_etf_model()
    print("==> Build-time ML training complete.")
except Exception as e:
    print(f"==> Build-time training failed: {e} — will train at startup instead.")
    sys.exit(1)