#!/usr/bin/env bash

set -euo pipefail

OUTPUT_ROOT="${OUTPUT_ROOT:?OUTPUT_ROOT is required}"
REQUESTS_FILE="${REQUESTS_FILE:?REQUESTS_FILE is required}"
TP="${TP:?TP is required}"
MNS="${MNS:?MNS is required}"
TRACE_LABEL="${TRACE_LABEL:?TRACE_LABEL is required}"
SERVER_PORT="${SERVER_PORT:?SERVER_PORT is required}"
VENV_ROOT="${VENV_ROOT:-/tmp/wjh/venvs/vllm-0.20.0-cu129-profiler-v1}"
MODEL_ROOT="${MODEL_ROOT:-/home/admin/cpfs/wjh/models/Qwen/Qwen3-30B-A3B}"
SERVED_MODEL="qwen3-30b-exact-trace"
SERVER_PID=""

mkdir -p "${OUTPUT_ROOT}/logs" "${OUTPUT_ROOT}/provenance" "${OUTPUT_ROOT}/results"
exec > >(tee -a "${OUTPUT_ROOT}/logs/controller.log") 2>&1

cleanup() {
  if [[ -n "${SERVER_PID}" ]] && kill -0 "${SERVER_PID}" 2>/dev/null; then
    kill -TERM -- "-${SERVER_PID}" 2>/dev/null || true
    for _ in $(seq 1 30); do
      kill -0 "${SERVER_PID}" 2>/dev/null || break
      sleep 1
    done
    kill -KILL -- "-${SERVER_PID}" 2>/dev/null || true
  fi
  SERVER_PID=""
}
trap cleanup EXIT INT TERM

IFS=',' read -r -a GPU_IDS <<< "${CUDA_VISIBLE_DEVICES:?fleet GPU allocation is required}"
if [[ "${#GPU_IDS[@]}" -ne "${TP}" ]]; then
  echo "ERROR: expected ${TP} GPUs, got ${CUDA_VISIBLE_DEVICES}" >&2
  exit 1
fi

REQUEST_COUNT="$(wc -l < "${REQUESTS_FILE}")"
echo "QWEN30_EXACT_TRACE_REAL_LAUNCH_ECHO host=$(hostname) gpus=${CUDA_VISIBLE_DEVICES} model=${MODEL_ROOT} runtime=vLLM-0.20.0+cu129 dtype=BF16 config=TP${TP}_MNS${MNS}_MBT8192 trace=${TRACE_LABEL} requests=${REQUEST_COUNT} source=${REQUESTS_FILE} arrivals=original600s input_output_prompt=exact prefix=on block=16 tpot_slo=150ms output=${OUTPUT_ROOT} expected_wall=12-35m hard_wall=3600s"
date -u +"START_UTC=%Y-%m-%dT%H:%M:%SZ"
sha256sum qwen30_exact_trace_client.py run_qwen30_exact_trace_real_anchor.sh \
  ../frontier-phase-factorial-v0/qwen30_prefill_client.py \
  > "${OUTPUT_ROOT}/provenance/source.sha256"
sha256sum "${REQUESTS_FILE}" > "${OUTPUT_ROOT}/provenance/requests.sha256"
sha256sum "${MODEL_ROOT}/config.json" > "${OUTPUT_ROOT}/provenance/model.sha256"
nvidia-smi --query-gpu=index,name,uuid,driver_version --format=csv,noheader \
  > "${OUTPUT_ROOT}/provenance/gpus.csv"

export TOKENIZERS_PARALLELISM=false
export VLLM_USE_V1=1
export TORCH_CUDA_ARCH_LIST=9.0
export HF_HUB_OFFLINE=1
export TRANSFORMERS_OFFLINE=1
ulimit -n 65536

setsid "${VENV_ROOT}/bin/vllm" serve "${MODEL_ROOT}" \
  --host 127.0.0.1 --port "${SERVER_PORT}" --served-model-name "${SERVED_MODEL}" \
  --tensor-parallel-size "${TP}" --gpu-memory-utilization 0.92 \
  --max-model-len 40960 --max-num-batched-tokens 8192 --max-num-seqs "${MNS}" \
  --enable-prefix-caching --enable-chunked-prefill --no-enable-log-requests \
  > "${OUTPUT_ROOT}/logs/server.log" 2>&1 &
SERVER_PID=$!
READY=0
for _ in $(seq 1 120); do
  if curl -fsS --max-time 2 "http://127.0.0.1:${SERVER_PORT}/v1/models" \
    > "${OUTPUT_ROOT}/results/models.json" 2>/dev/null; then
    READY=1
    break
  fi
  if ! kill -0 "${SERVER_PID}" 2>/dev/null; then
    tail -200 "${OUTPUT_ROOT}/logs/server.log"
    exit 1
  fi
  sleep 3
done
if [[ "${READY}" -ne 1 ]]; then
  tail -200 "${OUTPUT_ROOT}/logs/server.log"
  exit 1
fi

# Warm execution kernels with four prefix-disjoint requests, then start the
# measured replay from an empty scheduler queue.  The unrelated 2K-token KV
# footprint remains explicit and negligible relative to the configured cache.
"${VENV_ROOT}/bin/python" ../frontier-phase-factorial-v0/qwen30_prefill_client.py \
  --port "${SERVER_PORT}" --served-model "${SERVED_MODEL}" \
  --model-path "${MODEL_ROOT}" --rate 1 --requests 4 --input-tokens 512 \
  --output-tokens 1 --output "${OUTPUT_ROOT}/results/warmup.json"

"${VENV_ROOT}/bin/python" qwen30_exact_trace_client.py \
  --port "${SERVER_PORT}" --requests-file "${REQUESTS_FILE}" \
  --output "${OUTPUT_ROOT}/results/result.json" --tpot-slo-ms 150 \
  --timeout-seconds 1800

cleanup
find "${OUTPUT_ROOT}" -type f ! -path '*/provenance/artifacts.sha256' -print0 \
  | sort -z | xargs -0 sha256sum > "${OUTPUT_ROOT}/provenance/artifacts.sha256"
date -u +"END_UTC=%Y-%m-%dT%H:%M:%SZ"
echo "QWEN30_EXACT_TRACE_REAL_ANCHOR_COMPLETE"