#!/usr/bin/env bash
set -euo pipefail

PROJECT_DIR="${PROJECT_DIR:-/workspace/KAWK50M}"
VENV_DIR="${VENV_DIR:-${PROJECT_DIR}/.venv}"

if [[ ! -d "${PROJECT_DIR}" ]]; then
  echo "Project directory not found: ${PROJECT_DIR}" >&2
  exit 1
fi

cd "${PROJECT_DIR}"
if [[ ! -x "${VENV_DIR}/bin/python" ]]; then
  python -m venv --system-site-packages "${VENV_DIR}"
fi

# Keep the CUDA-enabled PyTorch bundled with the RunPod image available while
# installing this project into an isolated environment (PEP 668 compatible).
source "${VENV_DIR}/bin/activate"
python -m pip install --upgrade pip
python -m pip install -e .
mkdir -p data/raw data/clean data/tokenized artifacts runs

nvidia-smi
python -m scripts.model_info --config configs/model_50m.yaml

echo
echo "Bootstrap complete."
echo "Virtual environment: ${VENV_DIR}"
echo "After tokenizer and token binaries are present, run:"
echo "  bash runpod/train_5090.sh"