#!/usr/bin/env bash
# One-shot pipeline-parallel (PP) verification + benchmark for Qwen3-8B.
# Run on the GPU host from the repo root. Writes bench-out/PP_RESULTS.md.
#
#   1. NCCL P2P send/recv + AllReduce unit tests
#   2. correctness: greedy (temp=0) output single == --pp 2 == --pp 4 (byte compare)
#   3. per-GPU VRAM (health-gated; weights + a minimal KV pool, ~1/P per card)
#   4. quality+latency sweep vs llama.cpp (-sm layer), gsm8k
#
# Env: MODEL, GGUF, LIMIT (problems), PPS (e.g. "1 2 4") may be overridden.
set -u
cd "$(dirname "$0")/.."
export PATH=$HOME/.cargo/bin:/usr/local/cuda-12.9/bin:$PATH
export CUDA_HOME=${CUDA_HOME:-/usr/local/cuda-12.9}
MODEL=${MODEL:-/opt/wjh/models/qwen3-8b}
GGUF=${GGUF:-/opt/wjh/models/qwen3-8b/qwen3-8b-bf16.gguf}
LIMIT=${LIMIT:-20}
PPS=${PPS:-1 2 4}
BIN=./target/release/xserv-server
R=bench-out/PP_RESULTS.md
mkdir -p bench-out
: > "$R"
log(){ echo "$@" | tee -a "$R"; }

pkill -9 -f xserv-server 2>/dev/null; pkill -9 -f llama-server 2>/dev/null; sleep 3

log "# PP verification — $(date)"

# ---- 1. NCCL P2P + AllReduce unit tests ----
log ""; log "## 1. NCCL P2P + AllReduce test"
cargo test -p xserv-distributed --release -- --test-threads=1 >/tmp/pp_t.log 2>&1
log "    cargo test exit=$?"
grep -hE "test result|pp_send_recv|allreduce_two_gpu" /tmp/pp_t.log | sed 's/^/    /' | tee -a "$R"

# wait_ready PORT PID -> 0 when a real generation succeeds (xserv's /health
# returns 200 before the model is loaded, so gate on a generation, not /health).
wait_ready(){ local port=$1 pid=$2
  for _ in $(seq 1 400); do
    curl -s -o /dev/null -w '%{http_code}' --max-time 8 \
      "http://127.0.0.1:$port/v1/chat/completions" -H 'Content-Type: application/json' \
      -d '{"model":"qwen3-8b","messages":[{"role":"user","content":"hi"}],"max_tokens":1,"temperature":0,"stream":false}' \
      2>/dev/null | grep -q 200 && return 0
    kill -0 "$pid" 2>/dev/null || return 1
    sleep 3
  done; return 1
}

# ---- 2. correctness ----
PROMPT='Explain what a transformer is in machine learning, in 3 sentences.'
gen(){ local port=$1 cvd=$2; shift 2
  CUDA_VISIBLE_DEVICES=$cvd nohup $BIN $MODEL --port $port --max-seq-len 2048 "$@" >/tmp/pp_s$port.log 2>&1 &
  local pid=$!
  wait_ready "$port" "$pid" || { echo "(server $port failed)"; kill -9 "$pid" 2>/dev/null; return; }
  curl -s --max-time 200 "http://127.0.0.1:$port/v1/chat/completions" -H 'Content-Type: application/json' \
    -d "{\"model\":\"qwen3-8b\",\"messages\":[{\"role\":\"user\",\"content\":\"$PROMPT\"}],\"max_tokens\":64,\"temperature\":0,\"stream\":false}" \
    | python3 -c 'import sys,json;print(json.load(sys.stdin)["choices"][0]["message"]["content"])' 2>/dev/null
  kill -9 "$pid" 2>/dev/null; wait "$pid" 2>/dev/null; sleep 3
}
gen 8091 0          > /tmp/o_single.txt
gen 8092 0,1 --pp 2 > /tmp/o_pp2.txt
gen 8093 0,1,2,3 --pp 4 > /tmp/o_pp4.txt
log ""; log "## 2. Correctness (greedy temp=0, byte compare)"
log "    single==pp2: $(cmp -s /tmp/o_single.txt /tmp/o_pp2.txt && echo IDENTICAL || echo DIFFER)"
log "    single==pp4: $(cmp -s /tmp/o_single.txt /tmp/o_pp4.txt && echo IDENTICAL || echo DIFFER)"
log "    single text: $(head -c 160 /tmp/o_single.txt)"

# ---- 3. per-GPU VRAM (health-gated, KV pool capped so all configs comparable) ----
log ""; log "## 3. Per-GPU VRAM (XSERV_MAX_KV_BLOCKS=160; weights + minimal KV)"
snap(){ nvidia-smi -i "$1" --query-gpu=memory.used --format=csv,noheader,nounits | paste -sd' '; }
vram(){ local label=$1 cvd=$2 port=$3; shift 3
  XSERV_MAX_KV_BLOCKS=160 CUDA_VISIBLE_DEVICES=$cvd nohup $BIN $MODEL --port $port --max-seq-len 2048 "$@" >/tmp/pp_v$port.log 2>&1 &
  local pid=$!
  wait_ready "$port" "$pid" || { log "    $label: server failed"; kill -9 "$pid" 2>/dev/null; return; }
  curl -s --max-time 120 "http://127.0.0.1:$port/v1/chat/completions" -H 'Content-Type: application/json' \
    -d '{"model":"qwen3-8b","messages":[{"role":"user","content":"hi"}],"max_tokens":8,"temperature":0,"stream":false}' >/dev/null
  local a b=""; for _ in $(seq 1 12); do a=$(snap "$cvd"); [ "$a" = "$b" ] && break; b=$a; sleep 2; done
  log "    $label ($cvd): $a MiB"
  kill -9 "$pid" 2>/dev/null; wait "$pid" 2>/dev/null; sleep 5
}
vram single 0       8094
vram pp2    0,1     8095 --pp 2
vram pp4    0,1,2,3 8096 --pp 4

# ---- 4. sweep vs llama.cpp ----
log ""; log "## 4. Sweep (gsm8k $LIMIT, xserv --pp 0..N-1 vs llama -sm layer 4..)"
PPS="$PPS" LIMIT="$LIMIT" TASKS=gsm8k bash tools/bench/run_pp_parallel.sh >/tmp/pp_sweep.log 2>&1
log '```'
python3 tools/bench/summarize_pp.py bench-out >> "$R" 2>&1
log '```'
log ""; log "PP_VERIFY_DONE"