scripts/bootstrap_tf2onnx.sh

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

repo_root="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
uv_bin="${repo_root}/environment/bin/uv"
converter_root="${repo_root}/environment/converters/tf2onnx"
converter_venv="${converter_root}/.venv"
cache_dir="${repo_root}/environment/cache"

cd "${repo_root}"

if [[ ! -x "${uv_bin}" ]]; then
  printf 'missing pinned uv executable: %s\n' "${uv_bin}" >&2
  exit 2
fi

mkdir -p "${converter_root}"
if [[ ! -x "${converter_venv}/bin/python" ]]; then
  "${uv_bin}" venv "${converter_venv}" --python 3.12.13 --seed --cache-dir "${cache_dir}"
fi

"${uv_bin}" pip install \
  --python "${converter_venv}/bin/python" \
  --cache-dir "${cache_dir}" \
  --requirements "${converter_root}/requirements.lock"

"${uv_bin}" pip freeze --python "${converter_venv}/bin/python" \
  | LC_ALL=C sort > "${converter_root}/installed-packages.txt"
sha256sum "${converter_root}/installed-packages.txt" > "${converter_root}/installed-packages.sha256"

"${converter_venv}/bin/python" - <<'PY'
import json
import platform
from pathlib import Path

import flatbuffers
import numpy
import onnx
import requests
import tf2onnx
import tensorflow as tf
from google.protobuf import __version__ as protobuf_version

root = Path.cwd() / "environment" / "converters" / "tf2onnx"
report = {
    "python": platform.python_version(),
    "tf2onnx": tf2onnx.__version__,
    "tensorflow": tf.__version__,
    "onnx": onnx.__version__,
    "numpy": numpy.__version__,
    "protobuf": protobuf_version,
    "flatbuffers": flatbuffers.__version__,
    "requests": requests.__version__,
}
(root / "tool_versions.json").write_text(json.dumps(report, indent=2, sort_keys=True) + "\n", encoding="utf-8")
print(json.dumps(report, sort_keys=True))
PY
sha256sum "${converter_root}/tool_versions.json" > "${converter_root}/tool_versions.sha256"