#!/usr/bin/env bash
set -Eeuo pipefail
[[ ${1:-} == --go && $(hostname) == athena ]] || { echo 'Usage on Athena: vision-go.sh --go' >&2; exit 2; }
cd /opt/mike-ai/experiments/bonsai2-ab
OUT=/data/benchmarks/bonsai2-ab
ORIGINAL=$(docker ps --format '{{.Names}}' | sed -n 's/^mike-ai-llama-\(fast\|medium\|large\|ultra\|uncensored\)$/\1/p')
[[ $(wc -w <<<"$ORIGINAL") == 1 ]] || exit 1
controller() {
  docker exec mike-ai-profile-controller python3 -c '
import os, sys, urllib.request
token = os.environ.get("CONTROLLER_TOKEN", "").strip()
if not token:
    token = open(os.environ.get("CONTROLLER_TOKEN_FILE", "/run/secrets/controller-token"), encoding="utf-8").read().strip()
req = urllib.request.Request("http://127.0.0.1:8090" + sys.argv[1], data=b"{}", headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"}, method="POST")
print(urllib.request.urlopen(req, timeout=180).read().decode())
' "$1"
}
finish() {
  local rc=$?
  trap - EXIT INT TERM
  ./case.sh vision stop || true
  controller "/profiles/$ORIGINAL/activate" || true
  echo "VISION_EXIT=$rc RESTORED=$ORIGINAL"
  exit "$rc"
}
trap finish EXIT INT TERM
wait_health() {
  local url=$1
  for ((i=0;i<120;i++)); do
    curl -fsS --max-time 2 "$url/health" >/dev/null 2>&1 && return 0
    sleep 2
  done
  return 1
}
controller /profiles/fast/activate
ip=$(docker inspect mike-ai-llama-fast --format '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}')
wait_health "http://$ip:8080"
python3 vision_probe.py --base "http://$ip:8080" --model qwen-fast --output "$OUT/vision-qwen-fast.json" --go
controller /inference/stop
./case.sh vision create
./case.sh vision start --go
wait_health http://127.0.0.1:5006
nvidia-smi --query-gpu=uuid,memory.used,memory.free --format=csv,noheader,nounits > "$OUT/vision-bonsai-before-gpu.csv"
python3 vision_probe.py --base http://127.0.0.1:5006 --model bonsai2-test --output "$OUT/vision-bonsai-fast.json" --go
nvidia-smi --query-gpu=uuid,memory.used,memory.free --format=csv,noheader,nounits > "$OUT/vision-bonsai-after-gpu.csv"
python3 repeat_critical.py --base http://127.0.0.1:5006 --model bonsai2-test \
  --temperature 1.0 --seeds 7,42,99 --skip-long \
  --output "$OUT/recommended-bonsai-fast.json" --go