#!/bin/bash
# Generate all job scripts (6 methods × 4 profile ranges = 24 jobs)
# Each job: 50 profiles × 15 sessions = 750 sessions ≈ 7-8 hours

METHODS="vanilla contextual reflection all_memory rag rag_vector"
RANGES="0:50 50:100 100:150 150:200"

for method in $METHODS; do
    for range in $RANGES; do
        start=${range%:*}
        end=${range#*:}

        cat > run_${method}_p${start}.sh << EOF
#!/bin/bash
#SBATCH --job-name=exp_${method}_p${start}
#SBATCH --account=bfqt-delta-gpu
#SBATCH --partition=gpuA100x4
#SBATCH --nodes=1
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=16
#SBATCH --gres=gpu:nvidia_a100:2
#SBATCH --mem=128G
#SBATCH --time=12:00:00
#SBATCH --output=exp_${method}_p${start}_%j.out
#SBATCH --error=exp_${method}_p${start}_%j.err

# Full run: ${method} method, profiles ${start}-${end} (50 profiles × 15 sessions)

cd /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model
source /u/yurenh2/miniforge3/etc/profile.d/conda.sh
conda activate eval

export HF_HOME=/projects/bfqt/users/yurenh2/hf_cache/huggingface
export PYTHONPATH="\${PWD}/src:\${PWD}/collaborativeagents:\${PYTHONPATH}"
export NCCL_P2P_DISABLE=1

set -a
source .env
set +a

pip install --quiet openai python-dotenv json-repair

MODEL_8B="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct"

pkill -f "vllm.entrypoints" 2>/dev/null || true
sleep 2

CUDA_VISIBLE_DEVICES=0 python -m vllm.entrypoints.openai.api_server \\
    --model \$MODEL_8B --port 8003 --tensor-parallel-size 1 \\
    --gpu-memory-utilization 0.5 --max-model-len 8192 \\
    --dtype bfloat16 --disable-log-requests &

for i in \$(seq 1 90); do
    curl -s http://localhost:8003/health > /dev/null 2>&1 && break
    sleep 2
done
echo "vLLM ready."

cd collaborativeagents/scripts

python run_experiments.py \\
    --methods ${method} \\
    --datasets math-hard \\
    --n-profiles 200 \\
    --start-profile ${start} \\
    --end-profile ${end} \\
    --n-sessions 15 \\
    --max-turns 8 \\
    --use-vllm \\
    --use-openai-user \\
    --openai-user-model gpt-5-mini \\
    --reward-mode llm \\
    --vllm-agent-url http://localhost:8003/v1 \\
    --parallel-profiles 25 \\
    --profile-path ../data/complex_profiles_v2/profiles_200.jsonl \\
    --output-dir ../results/fullscale_15sess

echo "${method} p${start}-${end} complete!"
pkill -f "vllm.entrypoints" 2>/dev/null || true
EOF
        chmod +x run_${method}_p${start}.sh
        echo "Created run_${method}_p${start}.sh"
    done
done

echo ""
echo "Generated 24 job scripts (6 methods × 4 profile ranges)"
echo "Each job: 50 profiles × 15 sessions = 750 sessions"
echo "Estimated time per job: ~7-8 hours"