#!/usr/bin/env bash
# Assemble the deployable study bundle: trace-study/ plus the passive
# collector from collector/, into dist/trace-study-<date>.tar.gz.
#
#   scripts/make_study_tar.sh              small tar; nodes pip-install torch
#   scripts/make_study_tar.sh <wheeldir>   offline tar with bundled wheels
#     (fill <wheeldir> with: pip download torch --dest <wheeldir> \
#        --platform manylinux_2_28_x86_64 --python-version 3.14 \
#        --implementation cp --abi cp314 --only-binary=:all:
#      matching the nodes' python3 --version and uname -m)
set -euo pipefail
REPO="$(cd "$(dirname "$0")/.." && pwd)"
STAGE="$(mktemp -d)/trace-study"
mkdir -p "$STAGE/collector" "$REPO/dist"

cp "$REPO"/trace-study/README.txt \
   "$REPO"/trace-study/setup.sh \
   "$REPO"/trace-study/preflight.sh \
   "$REPO"/trace-study/run_study.sh \
   "$REPO"/trace-study/nodes.conf.example \
   "$REPO"/trace-study/orchestrator.py \
   "$REPO"/trace-study/workloads.py \
   "$REPO"/trace-study/schedule_3node.json \
   "$REPO"/trace-study/schedule_5node.json \
   "$REPO"/trace-study/schedule_1node_4gpu.json \
   "$REPO"/trace-study/schedule_test.json \
   "$STAGE/"
cp "$REPO"/collector/collect.py "$REPO"/collector/trace.sh "$STAGE/collector/"
chmod +x "$STAGE"/*.sh "$STAGE"/collector/trace.sh

SUFFIX=""
if [[ -n "${1:-}" ]]; then
  mkdir -p "$STAGE/wheels"
  cp "$1"/*.whl "$STAGE/wheels/"
  SUFFIX="-offline"
fi

TAR="$REPO/dist/trace-study-$(date -u +%Y%m%d)$SUFFIX.tar.gz"
tar -czf "$TAR" -C "$(dirname "$STAGE")" trace-study
rm -rf "$(dirname "$STAGE")"
echo "built: $TAR"
tar -tzf "$TAR" | sed 's/^/  /'