#!/bin/bash
#SBATCH --job-name=bench_embed
#SBATCH --partition=nova
#SBATCH --gres=gpu:1
#SBATCH --cpus-per-task=8
#SBATCH --mem=32G
#SBATCH --time=01:00:00
#SBATCH --output=bert_v6_contrastive/scripts/bench_embed_%j.out
#SBATCH --error=bert_v6_contrastive/scripts/bench_embed_%j.err

echo "========================================"
echo "Benchmark Embedding Extraction + Visualization"
echo "Job ID: $SLURM_JOB_ID"
echo "Node: $(hostname)"
echo "Started: $(date)"
echo "========================================"

cd /work/ratul1/supantha/glycan-SD-VS/bert_training_v3/v3.1_cluster_training
source /work/ratul1/supantha/miniconda3/etc/profile.d/conda.sh
conda activate glycan_bert 2>/dev/null || source activate glycan_bert 2>/dev/null || true
pip install -q scikit-learn umap-learn 2>/dev/null

SCRIPT=bert_v6_contrastive/scripts/embed_benchmark_tasks.py
OUTDIR=bert_v6_contrastive/analysis/benchmark_embeddings

echo ""
echo "========== V5 Embeddings (val+test) =========="
python3 $SCRIPT --model v5 --splits val test --method both --output_dir $OUTDIR

echo ""
echo "========== V5 ALL data (incl train) =========="
python3 $SCRIPT --model v5 --embed_all --method both --output_dir ${OUTDIR}_all

# V6 only if checkpoint exists
if [ -f "bert_v6_contrastive/checkpoints/phase_3_hard_checkpoint.pt" ] || \
   [ -f "bert_v6_contrastive/checkpoints/best_model.pt" ] || \
   [ -f "bert_v6_contrastive/checkpoints/checkpoint_latest.pt" ]; then
    echo ""
    echo "========== V6 Embeddings (val+test) =========="
    python3 $SCRIPT --model v6 --splits val test --method both --output_dir $OUTDIR
    echo ""
    echo "========== V6 ALL data (incl train) =========="
    python3 $SCRIPT --model v6 --embed_all --method both --output_dir ${OUTDIR}_all
else
    echo ""
    echo "SKIPPING V6: No checkpoint found (training incomplete)"
fi

echo ""
echo "Generated files:"
ls -la $OUTDIR/ 2>/dev/null
ls -la ${OUTDIR}_all/ 2>/dev/null
echo ""
echo "Completed: $(date)"