#!/bin/bash
set -e
cd /workspace
HF_TOKEN="${HF_TOKEN:-$1}"
if [ -z "$HF_TOKEN" ]; then
    echo "Usage: bash run_all.sh <HF_TOKEN>"
    exit 1
fi
REPO="datamatters24/research-document-archive"

echo "=== Step 1: Fix torch + install tools ==="
pip install -q --upgrade torch torchvision --index-url https://download.pytorch.org/whl/cu124
pip install -q bertopic hdbscan umap-learn plotly safetensors sentence-transformers transformers

echo ""
echo "=== Step 2: Download data from HuggingFace ==="
python -c "
from huggingface_hub import snapshot_download
snapshot_download('$REPO', repo_type='dataset', allow_patterns='runpod/*', local_dir='.', token='$HF_TOKEN')
"
mv runpod/* . 2>/dev/null; rmdir runpod 2>/dev/null
echo "Files downloaded:"
ls -lh embeddings.npz doc_metadata.jsonl 02_bertopic_gpu.py

echo ""
echo "=== Step 3: GPU check ==="
nvidia-smi --query-gpu=name,memory.total --format=csv,noheader
python -c "import torch; print(f'PyTorch {torch.__version__}, CUDA {torch.version.cuda}, GPU available: {torch.cuda.is_available()}')"

echo ""
echo "=== Step 4: Attempting cuML install ==="
pip install cuml-cu12 2>/dev/null || pip install cuml-cu11 2>/dev/null || echo "cuML not available, using CPU UMAP"

echo ""
echo "=== Step 5: Running BERTopic ==="
python -u 02_bertopic_gpu.py 2>&1 | tee bertopic.log

echo ""
echo "=== Step 6: Uploading results ==="
python -c "
from huggingface_hub import HfApi
api = HfApi()
import os
for f in ['bertopic_results.jsonl', 'topic_info.json', 'umap_coords.npz']:
    if os.path.exists(f):
        print(f'Uploading {f}...')
        api.upload_file(path_or_fileobj=f, path_in_repo=f'runpod/{f}', repo_id='$REPO', repo_type='dataset', token='$HF_TOKEN')
        print(f'  Done')
    else:
        print(f'WARNING: {f} not found — BERTopic may have failed')
print('Upload complete!')
"

echo ""
echo "=== DONE ==="