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

# GPU1 queue: No-LoRA / token sensitivity / LR scan
# All outputs are saved under results/ablation_study/{checkpoints,runs}

ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
cd "$ROOT_DIR"

GPU_ID="${GPU_ID:-1}"
EPOCHS_ABL="${EPOCHS_ABL:-5}"
MAX_SAMPLES="${MAX_SAMPLES:-10000}"

ABL_ROOT="results/ablation_study"
CKPT_DIR="$ABL_ROOT/checkpoints"
RUN_DIR="$ABL_ROOT/runs"
LOG_DIR="$ABL_ROOT/logs"
mkdir -p "$CKPT_DIR" "$RUN_DIR" "$LOG_DIR"

export PYTHONPATH=.

run() {
  local name="$1"
  shift
  echo
  echo "============================================================"
  echo "[$(date '+%F %T')] START: $name"
  echo "CMD: $*"
  echo "============================================================"
  "$@"
  echo "[$(date '+%F %T')] DONE: $name"
}

# 1) Remove LoRA
run "train_no_lora_256" \
  env CUDA_VISIBLE_DEVICES="$GPU_ID" python scripts/train_compressor.py \
    --output_dir "$CKPT_DIR/no_lora_256" \
    --disable_lora \
    --target_tokens 256 \
    --epochs "$EPOCHS_ABL" \
    --max_samples "$MAX_SAMPLES" \
    --mix_root data \
    --mix_images_subdir ref_screenshots \
    --mix_gt_subdir gt_html \
    --max_html_tokens 8192

run "eval_no_lora_256" \
  env CUDA_VISIBLE_DEVICES="$GPU_ID" python scripts/eval_all.py \
    --method uipress \
    --checkpoint "$CKPT_DIR/no_lora_256/latest.pt" \
    --target_tokens 256 \
    --max_samples 50 \
    --data_dir data \
    --output_dir "$RUN_DIR/no_lora_256"

run "clip_no_lora_256" \
  env CUDA_VISIBLE_DEVICES="$GPU_ID" python scripts/step_clip_batch.py \
    --method_dir "$RUN_DIR/no_lora_256/uipress_256" \
    --ref_dir data/ref_screenshots \
    --clip_device cuda

# 2) Token sensitivity: 64 / 128 / 512
for tok in 64 128 512; do
  run "train_token_${tok}" \
    env CUDA_VISIBLE_DEVICES="$GPU_ID" python scripts/train_compressor.py \
      --output_dir "$CKPT_DIR/token_${tok}" \
      --target_tokens "$tok" \
      --epochs "$EPOCHS_ABL" \
      --max_samples "$MAX_SAMPLES" \
      --mix_root data \
      --mix_images_subdir ref_screenshots \
      --mix_gt_subdir gt_html \
      --max_html_tokens 8192

  run "eval_token_${tok}" \
    env CUDA_VISIBLE_DEVICES="$GPU_ID" python scripts/eval_all.py \
      --method uipress \
      --checkpoint "$CKPT_DIR/token_${tok}/latest.pt" \
      --target_tokens "$tok" \
      --max_samples 50 \
      --data_dir data \
      --output_dir "$RUN_DIR/token_${tok}"

  run "clip_token_${tok}" \
    env CUDA_VISIBLE_DEVICES="$GPU_ID" python scripts/step_clip_batch.py \
      --method_dir "$RUN_DIR/token_${tok}/uipress_${tok}" \
      --ref_dir data/ref_screenshots \
      --clip_device cuda
done

# 3) Learning-rate scan (compressor LR)
for lr in 1e-4 2e-4 4e-4; do
  safe_lr="${lr//./p}"
  run "train_lr_${safe_lr}" \
    env CUDA_VISIBLE_DEVICES="$GPU_ID" python scripts/train_compressor.py \
      --output_dir "$CKPT_DIR/lr_${safe_lr}" \
      --target_tokens 256 \
      --lr_compressor "$lr" \
      --epochs "$EPOCHS_ABL" \
      --max_samples "$MAX_SAMPLES" \
      --mix_root data \
      --mix_images_subdir ref_screenshots \
      --mix_gt_subdir gt_html \
      --max_html_tokens 8192

  run "eval_lr_${safe_lr}" \
    env CUDA_VISIBLE_DEVICES="$GPU_ID" python scripts/eval_all.py \
      --method uipress \
      --checkpoint "$CKPT_DIR/lr_${safe_lr}/latest.pt" \
      --target_tokens 256 \
      --max_samples 50 \
      --data_dir data \
      --output_dir "$RUN_DIR/lr_${safe_lr}"

  run "clip_lr_${safe_lr}" \
    env CUDA_VISIBLE_DEVICES="$GPU_ID" python scripts/step_clip_batch.py \
      --method_dir "$RUN_DIR/lr_${safe_lr}/uipress_256" \
      --ref_dir data/ref_screenshots \
      --clip_device cuda
done

echo
echo "All GPU1 ablation jobs completed at $(date '+%F %T')."