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

REPO_DIR="${REPO_DIR:-/nfs/ywang29/GmNet/journal_exp}"
VENV_DIR="${VENV_DIR:-/tmp/gmnet_venv}"
PYTHON="${PYTHON_BIN:-${VENV_DIR}/bin/python}"
LOCAL_SCRATCH_DIR="${LOCAL_SCRATCH_DIR:-/tmp/gmnet_scratch/e4_e12_official}"
WANDB_PROJECT="${WANDB_PROJECT:-gmnet-journal}"
WANDB_ENTITY="${WANDB_ENTITY:-yi-fan-wang1216}"
DRY_RUN="${DRY_RUN:-1}"
FORCE="${FORCE:-0}"

export TMPDIR="${LOCAL_SCRATCH_DIR}/tmp"
export TORCH_NCCL_HEARTBEAT_TIMEOUT_SEC=1800
export NCCL_SOCKET_IFNAME="${NCCL_SOCKET_IFNAME:-eth}"
# export GLOO_SOCKET_IFNAME="${GLOO_SOCKET_IFNAME:-${NCCL_SOCKET_IFNAME}}"
export NCCL_NET="${NCCL_NET:-Socket}"
# export NCCL_NET_PLUGIN="${NCCL_NET_PLUGIN:-none}"
# export NCCL_IB_DISABLE="${NCCL_IB_DISABLE:-1}"

export NCCL_DEBUG="${NCCL_DEBUG:-INFO}"
export PYTHONUNBUFFERED=1
export FI_EFA_FORK_SAFE=1
export TORCH_NCCL_ASYNC_ERROR_HANDLING=1
export WANDB_API_KEY='24d6afefd46915ea938dca1af6caf95ae0288a19'
export WANDB_USERNAME='yi-fan-wang1216'
export WANDB_PROJECT="${WANDB_PROJECT}"
export WANDB_ENTITY="${WANDB_ENTITY}"
export TORCH_DISTRIBUTED_DEBUG=DETAIL
# export HF_TOKEN='__REDACTED_HF_TOKEN__'
export AWS_PROFILE=default_mle
export LD_LIBRARY_PATH=

mkdir -p "${TMPDIR}"
cd "${REPO_DIR}"

E4_ROOT="/tmp/gmnet_runs/e4_cifar100_relu6_official"
LEGACY_ROOT="/tmp/gmnet_runs/e4_legacy_imagenet_clean_official"
E12_ROOT="/tmp/gmnet_runs/e12_official"
ALL_MODES=(baseline batch_shuffle spatial_shuffle channel_shuffle mean_gate)

usage() {
  cat <<'EOF'
Usage: run_e4_e12_official.sh [plan|e4|legacy-clean|e12|aggregate|all]

Defaults to plan and DRY_RUN=1. To execute a phase, set DRY_RUN=0.
E12 additionally requires CONFIRM_IDLE=1 and refuses to run while nvidia-smi
reports any compute process. Run E12 only after E4 and legacy-clean finish.
EOF
}

print_command() {
  printf ' %q' "$@"
  printf '\n'
}

run_command() {
  print_command "$@"
  if [[ "${DRY_RUN}" == "0" ]]; then
    "$@"
  fi
}

is_complete() {
  local path="$1"
  [[ "${FORCE}" != "1" && -s "${path}" ]] || return 1
  "${PYTHON}" -B - "${path}" <<'PY'
import json
import sys
value = json.load(open(sys.argv[1], encoding="utf-8"))
if not str(value.get("status", "")).startswith("completed"):
    raise SystemExit(1)
PY
}

require_file() {
  [[ -f "$1" ]] || { echo "Required file is missing: $1" >&2; exit 2; }
}

run_e4() {
  local seed index checkpoint output status failures=0
  local -a command=() pids=() launched_seeds=()
  for seed in 0 1 2; do
    checkpoint="/tmp/gmnet_runs/e3_cifar100/e3_c100_s1_relu6_seed${seed}/checkpoint_last.pt"
    output="${E4_ROOT}/seed${seed}"
    require_file "${checkpoint}"
    if is_complete "${output}/results.json"; then
      echo "Skipping completed E4 seed ${seed}: ${output}/results.json"
      continue
    fi
    command=("${PYTHON}" -B scripts/run_e4_interventions.py \
      --checkpoint "${checkpoint}" \
      --dataset cifar100 \
      --data-root /tmp/gmnet_data/cifar-100 \
      --device "cuda:${seed}" \
      --max-samples 0 \
      --batch-size 256 \
      --workers 4 \
      --seed "${seed}" \
      --modes "${ALL_MODES[@]}" \
      --output-dir "${output}")
    print_command "${command[@]}"
    if [[ "${DRY_RUN}" == "0" ]]; then
      "${command[@]}" &
      pids+=("$!")
      launched_seeds+=("${seed}")
    fi
  done
  for index in "${!pids[@]}"; do
    if wait "${pids[${index}]}"; then
      echo "E4 seed ${launched_seeds[${index}]} completed."
    else
      status=$?
      echo "E4 seed ${launched_seeds[${index}]} failed with status ${status}." >&2
      if [[ "${failures}" == "0" ]]; then
        failures="${status}"
      fi
    fi
  done
  if [[ "${failures}" != "0" ]]; then
    echo "E4 aggregation skipped because at least one seed failed." >&2
    return "${failures}"
  fi
  aggregate_e4
}

aggregate_e4() {
  local inputs=()
  local seed
  for seed in 0 1 2; do
    inputs+=("${E4_ROOT}/seed${seed}/results.json")
  done
  if [[ "${DRY_RUN}" == "0" ]]; then
    run_command "${PYTHON}" -B scripts/aggregate_local_results.py \
      --kind e4 --inputs "${inputs[@]}" --output-dir "${E4_ROOT}"
  else
    print_command "${PYTHON}" -B scripts/aggregate_local_results.py \
      --kind e4 --inputs "${inputs[@]}" --output-dir "${E4_ROOT}"
  fi
}

run_legacy_clean() {
  local output="${LEGACY_ROOT}"
  require_file /tmp/gmnet_data/imagenet-1k-val/.READY
  if is_complete "${output}/results.json"; then
    echo "Skipping completed legacy clean evaluation: ${output}/results.json"
    return
  fi
  run_command "${PYTHON}" -B scripts/run_e4_interventions.py \
    --checkpoint /nfs/ywang29/GmNet/gmnet_s3.npy \
    --dataset imagenet \
    --data-root /tmp/gmnet_data/imagenet-1k-val \
    --data-source-uri s3://snap-research-cv-code/ywang29/datasets/imagenet-1k/val \
    --data-staging-manifest /tmp/gmnet_data/imagenet-1k-val/.READY \
    --device cuda:0 \
    --max-samples 0 \
    --batch-size 512 \
    --workers 16 \
    --seed 20260712 \
    --modes baseline \
    --output-dir "${output}"
}

assert_idle_for_e12() {
  [[ "${CONFIRM_IDLE:-0}" == "1" ]] || {
    echo "E12 requires CONFIRM_IDLE=1 after training and evaluation finish." >&2
    exit 2
  }
  local processes
  processes="$(nvidia-smi --query-compute-apps=pid --format=csv,noheader,nounits | sed '/^[[:space:]]*$/d')"
  [[ -z "${processes}" ]] || {
    echo "E12 refused: active GPU compute PIDs: ${processes}" >&2
    exit 2
  }
}

run_e12() {
  assert_idle_for_e12
  local process output
  for process in 0 1 2 3 4; do
    output="${E12_ROOT}/process${process}"
    if is_complete "${output}/results.json"; then
      echo "Skipping completed E12 process ${process}: ${output}/results.json"
      continue
    fi
    run_command "${PYTHON}" -B scripts/run_e12_profile.py \
      --checkpoint /nfs/ywang29/GmNet/gmnet_s3.npy \
      --output-dir "${output}" \
      --cuda-device cuda:0 \
      --cuda-batches 1 32 \
      --cuda-precisions fp32 bf16 \
      --cuda-warmup 50 \
      --cuda-iterations 200 \
      --cpu \
      --cpu-batches 1 32 \
      --cpu-precision fp32 \
      --cpu-warmup 10 \
      --cpu-iterations 50 \
      --cpu-threads 16 \
      --onnx --onnx-runtime \
      --onnx-warmup 20 \
      --onnx-iterations 100
  done
  aggregate_e12
}

aggregate_e12() {
  local inputs=()
  local process
  for process in 0 1 2 3 4; do
    inputs+=("${E12_ROOT}/process${process}/results.json")
  done
  if [[ "${DRY_RUN}" == "0" ]]; then
    run_command "${PYTHON}" -B scripts/aggregate_local_results.py \
      --kind e12 --inputs "${inputs[@]}" --output-dir "${E12_ROOT}"
  else
    print_command "${PYTHON}" -B scripts/aggregate_local_results.py \
      --kind e12 --inputs "${inputs[@]}" --output-dir "${E12_ROOT}"
  fi
}

plan() {
  DRY_RUN=1
  run_e4
  run_legacy_clean
  echo "E12 command omitted from automatic plan execution guard."
  echo "Run with: CONFIRM_IDLE=1 DRY_RUN=0 $0 e12"
}

action="${1:-plan}"
case "${action}" in
  plan) plan ;;
  e4) run_e4 ;;
  legacy-clean) run_legacy_clean ;;
  e12) run_e12 ;;
  aggregate)
    aggregate_e4
    aggregate_e12
    ;;
  all)
    run_e4
    run_legacy_clean
    run_e12
    ;;
  -h|--help|help) usage ;;
  *) usage >&2; exit 2 ;;
esac