#!/usr/bin/env bash
# =============================================================================
# setup_universal.sh — Install all dependencies for the universal pipeline
# =============================================================================
set -euo pipefail

GRN='\033[0;32m'; NC='\033[0m'
log() { echo -e "${GRN}[setup]${NC} $*"; }

# ── System packages ───────────────────────────────────────────────────────────
log "Installing system packages..."
sudo apt-get update -qq
sudo apt-get install -y --no-install-recommends \
    aria2 \
    parallel \
    pigz \
    pv \
    jq \
    bc \
    curl wget ca-certificates \
    libgl1 libglib2.0-0          # needed by Pillow on headless servers

# Silence GNU Parallel citation nag
mkdir -p ~/.parallel && touch ~/.parallel/will-cite

# ── Python packages ───────────────────────────────────────────────────────────
log "Installing Python packages..."
pip install --upgrade pip --quiet

pip install --quiet \
    datasets \
    diffusers \
    transformers \
    accelerate \
    torch torchvision \
    pyarrow \
    Pillow \
    tqdm \
    huggingface_hub \
    safetensors \
    webdataset \
    pyarrow \
    orjson \
    requests

# ── HuggingFace login ─────────────────────────────────────────────────────────
HF_TOKEN_FILE="$HOME/.cache/huggingface/token"
if [[ ! -f "$HF_TOKEN_FILE" ]]; then
    log "No HuggingFace token found. Run: huggingface-cli login"
else
    log "HuggingFace token found ✓"
fi

# ── Directory scaffold ────────────────────────────────────────────────────────
BASE_DIR="${BASE_DIR:-/workspace/hem/dataset_output}"
log "Creating base directory structure: $BASE_DIR"

mkdir -p \
    "${BASE_DIR}/images/original" \
    "${BASE_DIR}/captions/shards" \
    "${BASE_DIR}/metadata/processing_logs/worker_logs" \
    "${BASE_DIR}/raw_shards" \
    "${BASE_DIR}/logs"

for res in 256 512 1024; do
    mkdir -p "${BASE_DIR}/images/${res}x${res}"
    mkdir -p "${BASE_DIR}/latents/sd-vae-${res}"
done

# Seed empty files
CAPS="${BASE_DIR}/captions/captions.json"
[[ -f "$CAPS" ]] || echo '{}' > "$CAPS"

META="${BASE_DIR}/metadata/dataset_info.json"
if [[ ! -f "$META" ]]; then
    cat > "$META" <<JSON
{
  "hf_dataset": null,
  "hf_split": "train",
  "resolutions": [256, 512],
  "vae_model": "stabilityai/sd-vae-ft-ema",
  "processed_count": 0,
  "failed_count": 0,
  "last_run": null
}
JSON
fi

# ── Verify format_detector is importable ──────────────────────────────────────
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
if [[ -f "$SCRIPT_DIR/format_detector.py" ]]; then
    log "Verifying format_detector.py..."
    python3 -c "from format_detector import detect; print('  format_detector OK')" \
        || echo "  [warn] Could not import format_detector — ensure it is in the same folder"
fi

log ""
log "Setup complete ✓"
log ""
log "Quick start:"
log "  huggingface-cli login"
log "  HF_DATASET=LLAAMM/text2image1m bash run_pipeline_universal.sh"
log ""
log "Other examples:"
log "  HF_DATASET=laion/laion400m JOBS=8 CUDA_DEVICES=0,1,2,3 bash run_pipeline_universal.sh"
log "  HF_DATASET=poloclub/diffusiondb RESOLUTIONS='256' NO_LATENTS=1 bash run_pipeline_universal.sh"
log "  HF_DATASET=timbrooks/instructpix2pix-clip-filtered bash run_pipeline_universal.sh"
log ""
log "Test run (3 shards, 100 samples each, no VAE):"
log "  HF_DATASET=your/dataset MAX_SHARDS=3 MAX_SAMPLES=100 NO_LATENTS=1 bash run_pipeline_universal.sh"