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

cd "$(dirname "$0")/.."

python3 -m venv .venv
source .venv/bin/activate

python -m pip install -U pip wheel setuptools
python -m pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
python -m pip install -U \
  numpy pandas pyarrow polars scipy scikit-learn \
  tqdm pyyaml orjson jsonlines regex \
  transformers accelerate bitsandbytes \
  sentencepiece protobuf safetensors tokenizers \
  huggingface_hub datasets peft sentence-transformers
python -m pip install -U faiss-cpu pyserini rank-bm25

python - <<'PY'
import sys
print("python:", sys.version)

import torch
print("torch:", torch.__version__)
print("cuda:", torch.version.cuda)
print("cuda available:", torch.cuda.is_available())
if torch.cuda.is_available():
    print("gpu:", torch.cuda.get_device_name(0))
    print("capability:", torch.cuda.get_device_capability(0))
    print("memory GB:", torch.cuda.get_device_properties(0).total_memory / 1024**3)
    print("bf16 supported:", torch.cuda.is_bf16_supported())

import transformers, accelerate
print("transformers:", transformers.__version__)
print("accelerate:", accelerate.__version__)

try:
    import bitsandbytes as bnb
    print("bitsandbytes:", bnb.__version__)
except Exception as e:
    print("bitsandbytes import error:", type(e).__name__, e)
PY

echo "ML environment ready. Activate with: source .venv/bin/activate"