"""Feishu webhook monitor for long-running Perturb benchmarks.

Watches a benchmark output directory, counts completed samples, estimates ETA,
and sends Feishu (Lark) notifications on progress, abnormal exit, or completion.

Usage:
    # Use env var for webhook
    export FEISHU_WEBHOOK_URL="https://open.feishu.cn/open-apis/bot/v2/hook/xxxx"
    python scripts/monitor_benchmark_feishu.py \
        --output-dir /workspace/Perturb/benchmark_2000_v15 \
        --interval-minutes 30

    # Or pass webhook directly
    python scripts/monitor_benchmark_feishu.py \
        --output-dir /workspace/Perturb/benchmark_2000_v15 \
        --webhook https://open.feishu.cn/open-apis/bot/v2/hook/xxxx
"""

from __future__ import annotations

import argparse
import json
import os
import sys
import time
from datetime import datetime, timedelta
from pathlib import Path

import requests


def send_feishu(webhook_url: str, text: str) -> bool:
    """Send a plain text message to a Feishu webhook."""
    if not webhook_url or webhook_url.startswith("https://YOUR_"):
        print(f"[feishu skip] webhook not configured. Message would be:\n{text}")
        return False
    payload = {
        "msg_type": "text",
        "content": {"text": text},
    }
    try:
        resp = requests.post(webhook_url, json=payload, timeout=10)
        resp.raise_for_status()
        print(f"[feishu ok] {resp.status_code} {resp.text[:120]}")
        return True
    except Exception as exc:
        print(f"[feishu err] {exc}")
        return False


def read_indices(output_dir: Path) -> tuple[int, list[int]] | None:
    """Return (total, indices) from indices.json if it exists."""
    path = output_dir / "indices.json"
    if not path.exists():
        return None
    try:
        data = json.loads(path.read_text())
        if isinstance(data, list):
            return len(data), data
        return int(data.get("n", 0)), data.get("indices", [])
    except Exception as exc:
        print(f"[warn] failed to read indices.json: {exc}")
        return None


def count_completed(output_dir: Path, subdir: str) -> int:
    """Count completed *.json files under output_dir/subdir."""
    target = output_dir / subdir
    if not target.exists():
        return 0
    return len(list(target.glob("*.json")))


def read_summary(output_dir: Path, subdir: str) -> dict | None:
    """Read summary.json if available; fall back to aggregating summary_worker*.json."""
    target_dir = output_dir / subdir
    path = target_dir / "summary.json"
    if path.exists():
        try:
            return json.loads(path.read_text())
        except Exception:
            pass

    # Multi-worker mode: aggregate per-worker summaries.
    worker_summaries = []
    for ws_path in sorted(target_dir.glob("summary_worker*.json")):
        try:
            worker_summaries.append(json.loads(ws_path.read_text()))
        except Exception:
            pass
    if not worker_summaries:
        return None

    total_n = sum(ws.get("n", 0) for ws in worker_summaries)
    if total_n == 0:
        return None

    avg_score = sum(ws.get("avg_score", 0.0) * ws.get("n", 0) for ws in worker_summaries) / total_n
    success_rate = sum(ws.get("success_rate", 0.0) * ws.get("n", 0) for ws in worker_summaries) / total_n
    return {
        "n": total_n,
        "avg_score": avg_score,
        "success_rate": success_rate,
        "workers": len(worker_summaries),
        "aggregated": True,
    }


def process_alive(pids: list[int]) -> tuple[bool, list[int]]:
    """Return (any_alive, list_of_alive_pids)."""
    alive = []
    for pid in pids:
        try:
            os.kill(pid, 0)
            alive.append(pid)
        except (OSError, ProcessLookupError):
            pass
    return bool(alive), alive


def parse_pids(raw: str) -> list[int]:
    """Parse a comma-separated list of PIDs."""
    return [int(x.strip()) for x in raw.split(",") if x.strip().isdigit()]


def load_pids_file(path: Path) -> list[int]:
    """Load PIDs from a file, one per line or comma-separated."""
    if not path.exists():
        return []
    pids = []
    for line in path.read_text().splitlines():
        pids.extend(parse_pids(line))
    return pids


def format_eta(seconds: float) -> str:
    """Format remaining seconds as a human readable string."""
    if seconds < 0 or not seconds:
        return "unknown"
    delta = timedelta(seconds=int(seconds))
    hours, remainder = divmod(delta.total_seconds(), 3600)
    minutes, seconds = divmod(remainder, 60)
    parts = []
    if hours:
        parts.append(f"{int(hours)}h")
    if minutes:
        parts.append(f"{int(minutes)}m")
    if seconds or not parts:
        parts.append(f"{int(seconds)}s")
    return "".join(parts)


def build_progress_message(
    *,
    output_dir: Path,
    subdir: str,
    total: int,
    completed: int,
    pids: list[int],
    elapsed_seconds: float,
) -> str:
    """Build a Feishu progress notification text."""
    pct = completed / total * 100 if total else 0.0
    avg_per_image = elapsed_seconds / completed if completed else 0.0
    remaining = (total - completed) * avg_per_image if completed else 0.0
    eta = format_eta(remaining)
    summary = read_summary(output_dir, subdir)
    score_line = ""
    if summary:
        avg = summary.get("avg_score", 0.0)
        succ = summary.get("success_rate", 0.0) * 100
        score_line = f"\n当前已跑完均分: {avg:.4f} | 成功率: {succ:.1f}%"

    any_alive, alive_pids = process_alive(pids)
    pid_line = f"PIDs: {','.join(str(p) for p in pids)}" if pids else "PID: not tracked"
    status = f"running ({len(alive_pids)}/{len(pids)} workers alive)" if any_alive else "⚠️ all workers gone"

    return (
        f"🤖 Perturb benchmark 进度更新\n"
        f"目录: {output_dir}/{subdir}\n"
        f"{pid_line}\n"
        f"状态: {status}\n"
        f"进度: {completed}/{total} ({pct:.1f}%)\n"
        f"已用时间: {format_eta(elapsed_seconds)}\n"
        f"单图平均: {avg_per_image:.1f}s\n"
        f"预计剩余: {eta}{score_line}"
    )


def build_completion_message(
    *,
    output_dir: Path,
    subdir: str,
    total: int,
    completed: int,
    elapsed_seconds: float,
    aborted: bool = False,
) -> str:
    """Build completion or abort notification text."""
    summary = read_summary(output_dir, subdir)
    if summary:
        avg = summary.get("avg_score", 0.0)
        succ = summary.get("success_rate", 0.0) * 100
        score_line = f"均分: {avg:.4f} | 成功率: {succ:.1f}%"
    else:
        score_line = "summary.json 尚未生成"

    if aborted:
        emoji = "🚨"
        header = "benchmark 异常退出"
        extra = f"只完成了 {completed}/{total}"
    else:
        emoji = "✅"
        header = "benchmark 已完成"
        extra = f"全部 {total}/{total} 完成"

    return (
        f"{emoji} Perturb {header}\n"
        f"目录: {output_dir}/{subdir}\n"
        f"{extra}\n"
        f"总耗时: {format_eta(elapsed_seconds)}\n"
        f"{score_line}"
    )


def monitor(
    *,
    output_dir: Path,
    subdir: str,
    webhook_url: str,
    interval_seconds: float,
    pids: list[int],
) -> None:
    """Main monitoring loop."""
    indices_info = read_indices(output_dir)
    if indices_info is None:
        # Fallback: wait and retry a few times in case indices.json is not written yet.
        for _ in range(10):
            time.sleep(5)
            indices_info = read_indices(output_dir)
            if indices_info is not None:
                break
    if indices_info is None:
        msg = f"❌ 监控启动失败：未找到 {output_dir}/indices.json"
        send_feishu(webhook_url, msg)
        raise RuntimeError(msg)

    total, _ = indices_info
    start_time = time.time()
    last_report_time = start_time
    last_completed = 0

    # Initial notification
    send_feishu(
        webhook_url,
        f"🚀 Perturb benchmark 监控已启动\n"
        f"目录: {output_dir}/{subdir}\n"
        f"总样本数: {total}\n"
        f"推送间隔: {interval_seconds/60:.0f} 分钟\n"
        f"开始时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}",
    )

    completed = count_completed(output_dir, subdir)
    while True:
        time.sleep(min(30, interval_seconds))
        now = time.time()
        elapsed = now - start_time
        completed = count_completed(output_dir, subdir)

        # Check if all watched processes died
        any_alive, alive_pids = process_alive(pids)
        if pids and not any_alive:
            aborted = completed < total
            msg = build_completion_message(
                output_dir=output_dir,
                subdir=subdir,
                total=total,
                completed=completed,
                elapsed_seconds=elapsed,
                aborted=aborted,
            )
            send_feishu(webhook_url, msg)
            print(f"[monitor] all workers exited. completed={completed}/{total}")
            return

        # Periodic progress report
        if now - last_report_time >= interval_seconds:
            msg = build_progress_message(
                output_dir=output_dir,
                subdir=subdir,
                total=total,
                completed=completed,
                pids=pids,
                elapsed_seconds=elapsed,
            )
            send_feishu(webhook_url, msg)
            last_report_time = now

        # Detect completion
        if completed >= total:
            msg = build_completion_message(
                output_dir=output_dir,
                subdir=subdir,
                total=total,
                completed=completed,
                elapsed_seconds=elapsed,
                aborted=False,
            )
            send_feishu(webhook_url, msg)
            print(f"[monitor] benchmark completed. {completed}/{total}")
            return

        # Print local heartbeat
        if completed != last_completed:
            print(
                f"[{datetime.now().strftime('%H:%M:%S')}] completed={completed}/{total} "
                f"elapsed={format_eta(elapsed)} alive_workers={len(alive_pids)}/{len(pids)}"
            )
            last_completed = completed


def main() -> None:
    parser = argparse.ArgumentParser(description="Feishu monitor for Perturb benchmark")
    parser.add_argument(
        "--output-dir",
        type=Path,
        default=Path("/workspace/Perturb/benchmark_2000_v15"),
        help="Benchmark output directory",
    )
    parser.add_argument(
        "--subdir",
        type=str,
        default="v15",
        help="Subdirectory containing per-image json files",
    )
    parser.add_argument(
        "--webhook",
        type=str,
        default=os.getenv("FEISHU_WEBHOOK_URL", "https://open.feishu.cn/open-apis/bot/v2/hook/b1c64e78-6277-40e6-aed0-795a5c72deb6"),
        help="Feishu webhook URL (or set FEISHU_WEBHOOK_URL env var)",
    )
    parser.add_argument(
        "--interval-minutes",
        type=float,
        default=30.0,
        help="Progress report interval in minutes",
    )
    parser.add_argument(
        "--pid",
        type=str,
        default=None,
        help="Comma-separated process IDs to watch (optional; auto-detected if omitted)",
    )
    args = parser.parse_args()

    webhook = args.webhook
    if not webhook:
        print("[warn] FEISHU_WEBHOOK_URL not set; messages will be printed to stdout only.")

    pids: list[int] = []
    if args.pid:
        pids = parse_pids(args.pid)
    else:
        # Try to auto-detect from pids.txt or legacy pid.txt next to the output dir.
        candidates = [
            args.output_dir.parent / f"{args.output_dir.name}_logs" / "pids.txt",
            args.output_dir.parent / f"{args.output_dir.name}_logs" / "pid.txt",
            args.output_dir / "pids.txt",
            args.output_dir / "pid.txt",
        ]
        for cand in candidates:
            if cand.exists():
                pids = load_pids_file(cand)
                if pids:
                    print(f"[info] auto-detected pids={pids} from {cand}")
                    break

    monitor(
        output_dir=args.output_dir,
        subdir=args.subdir,
        webhook_url=webhook,
        interval_seconds=args.interval_minutes * 60,
        pids=pids,
    )


if __name__ == "__main__":
    main()