#!/bin/bash
#SBATCH --job-name=dppo_mujoco_intel
#SBATCH --account=hk-project-p0022232
#SBATCH --partition=dev_accelerated
#SBATCH --gres=gpu:1
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --cpus-per-task=8
#SBATCH --time=00:30:00
#SBATCH --mem=24G
#SBATCH --output=logs/dppo_mujoco_intel_%j.out
#SBATCH --error=logs/dppo_mujoco_intel_%j.err

# Load Intel OneAPI properly with compatibility mode
module load devel/cuda/12.4

# Force compatibility mode for Intel compiler
export CFLAGS="-std=c99 -w"
export CXXFLAGS="-std=c++11 -w"
export CC=gcc
export CXX=g++

# Completely remove any cached builds
cd $SLURM_SUBMIT_DIR
source .venv/bin/activate

# Remove ALL mujoco_py cache and build artifacts
echo "Removing all mujoco-py build artifacts..."
rm -rf .venv/lib/python3.10/site-packages/mujoco_py/generated/
rm -rf .venv/lib/python3.10/site-packages/mujoco_py/.eggs/
rm -rf .venv/lib/python3.10/site-packages/mujoco_py/build/
find .venv/lib/python3.10/site-packages/mujoco_py/ -name "*.so" -delete
find .venv/lib/python3.10/site-packages/mujoco_py/ -name "*.pyc" -delete

# Reinstall mujoco-py from scratch
echo "Reinstalling mujoco-py..."
pip uninstall mujoco-py -y
pip install 'mujoco-py<2.2,>=2.1'

# Set MuJoCo environment
export MUJOCO_PY_MUJOCO_PATH=/home/hk-project-robolear/ys1087/.mujoco/mujoco210
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/hk-project-robolear/ys1087/.mujoco/mujoco210/bin:/usr/lib/nvidia
export MUJOCO_GL=egl

echo "Testing mujoco-py import after fresh install..."
python -c "import mujoco_py; print('SUCCESS: mujoco_py works!')"