#!/usr/bin/env bash
# Full benchmark suite — run all backends × models with tagging
set -euo pipefail

SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
source "$SCRIPT_DIR/../../lib/common.sh"
source "$SCRIPT_DIR/../../lib/detect.sh"
source "$SCRIPT_DIR/../../lib/format.sh"

MODEL_DIR="$(data_dir models)"
TAG="run"
BACKENDS_FILTER=""
MODELS_FILTER=""
SKIP_LONGCTX=false
MAX_SIZE_GB=0
CATEGORY_FILTER=""
REPS_STANDARD=5
REPS_LONGCTX=3
CTX_DEPTH=32768
CTX_PROMPT=2048
PP_TOKENS=512
TG_TOKENS=128

while [[ $# -gt 0 ]]; do
    case "$1" in
        --tag|-t)        TAG="$2"; shift 2 ;;
        --backends|-b)   BACKENDS_FILTER="$2"; shift 2 ;;
        --models|-m)     MODELS_FILTER="$2"; shift 2 ;;
        --skip-longctx)  SKIP_LONGCTX=true; shift ;;
        --max-size|-s)   MAX_SIZE_GB="$2"; shift 2 ;;
        --category|-c)   CATEGORY_FILTER="$2"; shift 2 ;;
        --reps|-r)       REPS_STANDARD="$2"; shift 2 ;;
        --context|-d)    CTX_DEPTH="$2"; shift 2 ;;
        --pp)            PP_TOKENS="$2"; shift 2 ;;
        --tg)            TG_TOKENS="$2"; shift 2 ;;
        --help|-h)
            echo "Usage: run-suite.sh [OPTIONS]"
            echo ""
            echo "Options:"
            echo "  --tag NAME           Tag this run (default: run)"
            echo "  --backends LIST      Comma-separated backend filter"
            echo "  --models LIST        Comma-separated model filename filter"
            echo "  --skip-longctx       Skip long-context tests"
            echo "  --max-size GB        Only bench models up to this file size in GB"
            echo "  --category LIST      Comma-separated: smoke,dense,moe (from models.conf)"
            echo "  --reps N             Standard test repetitions (default: 5)"
            echo "  --context N          Long-context depth in tokens (default: 32768)"
            echo "  --pp N               Prompt processing tokens (default: 512)"
            echo "  --tg N               Token generation count (default: 128)"
            echo ""
            echo "Examples:"
            echo "  run-suite.sh --tag ctx128k --context 131072 --category moe"
            echo "  run-suite.sh --tag realistic --tg 1024 --pp 2048 --category moe"
            echo "  run-suite.sh --tag post-opt --max-size 20 --skip-longctx"
            exit 0 ;;
        *) log_warn "Unknown argument: $1"; shift ;;
    esac
done

# Scale prompt tokens for context: use ~1/16 of context depth, min 512
if (( CTX_DEPTH > 32768 )); then
    CTX_PROMPT=$(( CTX_DEPTH / 16 ))
    (( CTX_PROMPT < 512 )) && CTX_PROMPT=512
fi

TS="$(timestamp)"
RESULT_DIR="$(data_dir benchmarks)/${TAG}-${TS}"
mkdir -p "$RESULT_DIR"

log_header "Benchmark Suite: $TAG"
log_info "Results: $RESULT_DIR"

# Save system state
bash "$SCRIPT_DIR/../audit/system-report.sh" --json > "$RESULT_DIR/system-state.json" 2>/dev/null

# Discover backends
existing="$(detect_toolbox_names 2>/dev/null || true)"

declare -A BENCH_PATHS=(
    [llama-vulkan-radv]="/usr/sbin/llama-bench"
    [llama-vulkan-amdvlk]="/usr/sbin/llama-bench"
    [llama-rocm-6.4.4]="/usr/local/bin/llama-bench"
    [llama-rocm-7.2]="/usr/local/bin/llama-bench"
    [llama-rocm7-nightlies]="/usr/local/bin/llama-bench"
)

available_backends=()
for tb in "${!BENCH_PATHS[@]}"; do
    if echo "$existing" | grep -q "^${tb}$"; then
        if [[ -z "$BACKENDS_FILTER" ]] || echo "$BACKENDS_FILTER" | tr ',' '\n' | grep -q "$tb"; then
            available_backends+=("$tb")
        fi
    fi
done

if (( ${#available_backends[@]} == 0 )); then
    log_error "No matching backends. Run: make benchmark-setup"
    exit 1
fi
log_info "Backends: ${available_backends[*]}"

# Find and filter models
mapfile -t ALL_MODEL_PATHS < <(
    find -L "$MODEL_DIR" -type f -name '*.gguf' -not -name 'mmproj-*' \
        \( -name '*-00001-of-*.gguf' -o -not -name '*-000*-of-*.gguf' \) \
        | sort
)

MODEL_PATHS=()
for p in "${ALL_MODEL_PATHS[@]}"; do
    local_name="$(basename "$p")"

    # Name filter
    if [[ -n "$MODELS_FILTER" ]]; then
        if ! echo "$MODELS_FILTER" | tr ',' '\n' | grep -qi "$local_name"; then
            continue
        fi
    fi

    # Size filter
    if (( MAX_SIZE_GB > 0 )); then
        file_size_gb=$(( $(stat -Lc%s "$p" 2>/dev/null || echo 0) / 1073741824 ))
        if (( file_size_gb >= MAX_SIZE_GB )); then
            log_info "Skipping $local_name (${file_size_gb} GB > ${MAX_SIZE_GB} GB limit)"
            continue
        fi
    fi

    # Category filter
    if [[ -n "$CATEGORY_FILTER" ]] && [[ -f "$PROJECT_ROOT/configs/models.conf" ]]; then
        matched=false
        found_in_catalog=false
        while IFS='|' read -r name repo file size_gb category desc; do
            [[ "$name" =~ ^#.*$ || -z "$name" ]] && continue
            if [[ "$local_name" == "$file" ]]; then
                found_in_catalog=true
                echo "$CATEGORY_FILTER" | tr ',' '\n' | grep -qF "$category" && matched=true
                break
            fi
        done < "$PROJECT_ROOT/configs/models.conf"
        if $found_in_catalog && ! $matched; then
            log_info "Skipping $local_name (category not in: $CATEGORY_FILTER)"
            continue
        fi
    fi

    MODEL_PATHS+=("$p")
done

if (( ${#MODEL_PATHS[@]} == 0 )); then
    log_error "No models matched filters. Run: make benchmark-setup"
    exit 1
fi
log_info "Models: ${#MODEL_PATHS[@]}"

# Start metric logging
METRICS_FILE="$RESULT_DIR/metrics.csv"
bash "$SCRIPT_DIR/../monitor/log-metrics.sh" --output "$METRICS_FILE" --interval 2 &
METRICS_PID=$!
trap 'kill "$METRICS_PID" 2>/dev/null; wait "$METRICS_PID" 2>/dev/null; true' EXIT

# Run benchmarks (same logic as run-baseline.sh)
for MODEL_PATH in "${MODEL_PATHS[@]}"; do
    MODEL_NAME="$(basename "$MODEL_PATH" .gguf)"

    for BACKEND in "${available_backends[@]}"; do
        BENCH_BIN="${BENCH_PATHS[$BACKEND]}"
        BACKEND_SAFE="${BACKEND//[.-]/_}"

        ENV_ARGS=()
        [[ "$BACKEND" == *rocm* ]] && ENV_ARGS=(env ROCBLAS_USE_HIPBLASLT=1)

        # Resolve model path for toolbox
        TOOLBOX_MODEL_PATH="$(realpath "$MODEL_PATH")"
        if [[ "$TOOLBOX_MODEL_PATH" != /home/* ]]; then
            TOOLBOX_MODEL_PATH="/run/host${TOOLBOX_MODEL_PATH}"
        fi

        # Standard test
        local_suffix="fa1"
        [[ "$PP_TOKENS" != "512" || "$TG_TOKENS" != "128" ]] && local_suffix="fa1__pp${PP_TOKENS}_tg${TG_TOKENS}"
        OUT="$RESULT_DIR/${MODEL_NAME}__${BACKEND_SAFE}__${local_suffix}.log"
        if [[ ! -s "$OUT" ]]; then
            printf "\n${BOLD}>> [%s] %s — pp%s/tg%s${RESET}\n" "$BACKEND" "$MODEL_NAME" "$PP_TOKENS" "$TG_TOKENS"
            CMD=(toolbox run -c "$BACKEND" -- "${ENV_ARGS[@]}" "$BENCH_BIN"
                -ngl 99 -mmp 0 -m "$TOOLBOX_MODEL_PATH" -fa 1
                -p "$PP_TOKENS" -n "$TG_TOKENS" -r "$REPS_STANDARD")
            if "${CMD[@]}" > "$OUT" 2>&1; then
                log_success "Done"; tail -3 "$OUT"
            else
                log_error "Failed"; echo "FAILED" >> "$OUT"
            fi
        fi

        # Long-context test
        if $SKIP_LONGCTX; then
            continue
        fi
        OUT_LC="$RESULT_DIR/${MODEL_NAME}__${BACKEND_SAFE}__fa1__longctx${CTX_DEPTH}.log"
        if [[ ! -s "$OUT_LC" ]]; then
            printf "\n${BOLD}>> [%s] %s — longctx %s${RESET}\n" "$BACKEND" "$MODEL_NAME" "$CTX_DEPTH"
            UB_SIZE=2048; [[ "$BACKEND" == *vulkan* ]] && UB_SIZE=512
            CMD_LC=(toolbox run -c "$BACKEND" -- "${ENV_ARGS[@]}" "$BENCH_BIN"
                -ngl 99 -mmp 0 -m "$TOOLBOX_MODEL_PATH" -fa 1
                -p "$CTX_PROMPT" -n 32 -d "$CTX_DEPTH" -ub "$UB_SIZE" -r "$REPS_LONGCTX")
            if "${CMD_LC[@]}" > "$OUT_LC" 2>&1; then
                log_success "Done"; tail -3 "$OUT_LC"
            else
                log_error "Failed"; echo "FAILED" >> "$OUT_LC"
            fi
        fi
    done
done

# Parse results
SUMMARY="$RESULT_DIR/summary.json"
# Parse llama-bench log files into summary JSON
python3 - "$RESULT_DIR" > "$SUMMARY" << 'PYEOF'
import sys, os, re, json
from pathlib import Path

result_dir = Path(sys.argv[1])
results = []

for logfile in sorted(result_dir.glob("*.log")):
    content = logfile.read_text()
    if "FAILED" in content:
        continue
    for line in content.splitlines():
        line = line.strip()
        if not line.startswith("|") or ("model" in line.lower() and "size" in line.lower()):
            continue
        if "---" in line:
            continue
        parts = [p.strip() for p in line.split("|")]
        if len(parts) < 10:
            continue
        try:
            test_type = parts[8].strip()
            ts_raw = parts[9].strip()
            ts_match = re.match(r'([\d.]+)', ts_raw)
            if not ts_match:
                continue
            results.append({
                "file": logfile.name,
                "model": parts[1].strip(),
                "size": parts[2].strip(),
                "backend": parts[4].strip(),
                "test": test_type,
                "tokens_per_sec": float(ts_match.group(1)),
                "raw": ts_raw,
            })
        except (ValueError, IndexError):
            continue

print(json.dumps({"results": results}, indent=2))
PYEOF

log_header "Results"
python3 - "$SUMMARY" << 'PYEOF'
import sys, json
with open(sys.argv[1]) as f:
    data = json.load(f)
if not data["results"]:
    print("  No results parsed.")
    sys.exit(0)
fmt = "  {:<20} {:<16} {:<8} {:>10}"
print(fmt.format("Model", "Backend", "Test", "t/s"))
print("  " + "-" * 58)
for r in data["results"]:
    print(fmt.format(r["model"][:20], r["backend"][:16], r["test"], f"{r['tokens_per_sec']:.2f}"))
PYEOF

echo ""
log_success "Results saved to: $RESULT_DIR"