#!/bin/bash
#SBATCH --job-name=test_local_user
#SBATCH --account=bfqt-delta-gpu
#SBATCH --partition=gpuA100x4
#SBATCH --nodes=1
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=32
#SBATCH --gres=gpu:nvidia_a100:4
#SBATCH --mem=200G
#SBATCH --time=1:00:00
#SBATCH --output=test_local_user_%j.out
#SBATCH --error=test_local_user_%j.err

# Test with LOCAL vLLM user simulator (70B AWQ) instead of OpenAI
# Expected: ~2000+ sessions/hr (vs ~60 with OpenAI API latency)
#
# GPU Layout:
#   GPU 0-1: 70B user simulator (AWQ INT4, TP=2)
#   GPU 2: 8B agent (~24GB)
#   GPU 3: Available for embedding/reranker if needed

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

# Models
MODEL_70B="hugging-quants/Meta-Llama-3.1-70B-Instruct-AWQ-INT4"
MODEL_8B="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct"

# Kill any existing vLLM servers
pkill -f "vllm.entrypoints" 2>/dev/null || true
sleep 3

echo "=== Starting 70B User Simulator (GPU 0-1, TP=2) ==="
CUDA_VISIBLE_DEVICES=0,1 python -m vllm.entrypoints.openai.api_server \
    --model $MODEL_70B \
    --port 8004 \
    --tensor-parallel-size 2 \
    --gpu-memory-utilization 0.90 \
    --max-model-len 4096 \
    --quantization awq \
    --dtype float16 \
    --disable-log-requests \
    --guided-decoding-backend outlines &

echo "=== Starting 8B Agent (GPU 2) ==="
CUDA_VISIBLE_DEVICES=2 python -m vllm.entrypoints.openai.api_server \
    --model $MODEL_8B \
    --port 8003 \
    --tensor-parallel-size 1 \
    --gpu-memory-utilization 0.50 \
    --max-model-len 8192 \
    --dtype bfloat16 \
    --disable-log-requests &

# Wait for both servers
echo "Waiting for vLLM servers..."
for port in 8004 8003; do
    for i in $(seq 1 120); do
        curl -s http://localhost:$port/health > /dev/null 2>&1 && break
        sleep 2
    done
    echo "  Port $port ready."
done

cd collaborativeagents/scripts

echo ""
echo "=== Running Test: 10 profiles × 2 sessions with LOCAL user simulator ==="
python run_experiments.py \
    --methods vanilla \
    --datasets math-hard \
    --n-profiles 10 \
    --n-sessions 2 \
    --max-turns 8 \
    --use-vllm \
    --vllm-user-url http://localhost:8004/v1 \
    --vllm-agent-url http://localhost:8003/v1 \
    --reward-mode llm \
    --parallel-profiles 10 \
    --profile-path ../data/complex_profiles_v2/profiles_200.jsonl \
    --output-dir ../results/test_local_user_$(date +%Y%m%d_%H%M%S)

echo ""
echo "=== Test Complete ==="
pkill -f "vllm.entrypoints" 2>/dev/null || true