# Libtensorflow archives) to GCS buckets. TFCI Mac VMs need to authenticate as
# a service account that has the right permissions to be able to do so.
set +x
if [[ -n "${GOOGLE_APPLICATION_CREDENTIALS:-}" ]]; then
  # Python 3.12 removed the module `imp` which is needed by gcloud CLI so we set
  # `CLOUDSDK_PYTHON` to Python 3.11 which is the system Python on TFCI Mac
  # VMs.
  pyenv install -s "3.11"
  if [[ $? -eq 0 ]]; then

  #  with:
  #    runner: 'linux-x86-n2-16'
  #    tfci: 'py313,linux_x86,rbe'

  #build-and-test-linux-x86-cuda:
  #  uses: ./.github/workflows/build-reusable.yml
  #  with:
  #    runner: 'linux-x86-n4-32'
  #    tfci: 'py313,linux_x86_cuda'

  #build-and-test-arm64:
  #  uses: ./.github/workflows/build-reusable.yml
  #  with:
  #    runner: 'linux-arm64-c4a-16'
  #    tfci: 'py313,linux_arm64,rbe'

name: Reusable Build
on:
  workflow_call:
    inputs:
      runner:
        description: 'Which runner should the workflow run on?'
        required: true
        type: string
      tfci:
        description: 'TFCI environment variable'
        required: true
        type: string

permissions:
  contents: read

jobs:
  build-and-test:
    runs-on: ${{ inputs.runner }}
    env:

# check This script checks for such errors early
if ! grep "rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" .bazelrc; then
  cat <<EOF
ERROR: RBE was enabled via the 'rbe' env in the 'TFCI' variable.
       TFCI: $TFCI
       TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX is "$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX".
       But in .bazelrc, there is no "rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX".