#!/usr/bin/env python3
"""Background watcher for the Kermany FM generation pipeline on h800."""

from __future__ import annotations

import json
import os
import re
import subprocess
import time
import urllib.request
from pathlib import Path


ROOT = Path("/data/temp/qinshengqian/c3")
DOWN = ROOT / "kermany_downstream"
BASE = Path(
    "/mnt/tidal-alsh-share2/dataset/qinshengqian/research/c3/Data/Classification/"
    "OCT_8/Baseline/RAE-main"
)
RESULTS = BASE / "results_kermany"
LOGDIR = RESULTS / "logs"
JSONS = DOWN / "jsons"
EVAL = DOWN / "eval"
STATUS = DOWN / "auto_monitor_status.json"
STATE_PATH = DOWN / "auto_monitor_state.json"
LOG_PATH = DOWN / "auto_monitor.log"
PID_PATH = DOWN / "auto_monitor.pid"

ARMS = ["RETFound", "VisionFM", "DINOv2L", "MAEL"]
EXPECTED_DOWNSTREAM = 12
INTERVAL = int(os.environ.get("KERMANY_MONITOR_INTERVAL", "600"))
STOP_ON_DONE = os.environ.get("KERMANY_MONITOR_STOP_ON_DONE", "1") == "1"

ERROR_PATTERNS = [
    "Traceback",
    "RuntimeError",
    "ChildFailedError",
    "CUDA out of memory",
    "No such file or directory",
    "EnvironmentNameNotFound",
    "ModuleNotFoundError",
    "AssertionError",
    "ValueError",
]


def run(cmd: str, timeout: int = 15) -> str:
    try:
        return subprocess.check_output(
            cmd, shell=True, stderr=subprocess.STDOUT, text=True, timeout=timeout
        )
    except subprocess.CalledProcessError as exc:
        return exc.output or ""
    except subprocess.TimeoutExpired as exc:
        return (exc.output or "") + "\n[TIMEOUT]"


def log(msg: str) -> None:
    ts = time.strftime("%Y-%m-%d %H:%M:%S")
    LOG_PATH.parent.mkdir(parents=True, exist_ok=True)
    with LOG_PATH.open("a") as f:
        f.write(f"[{ts}] {msg}\n")


def load_state() -> dict:
    if STATE_PATH.exists():
        try:
            return json.loads(STATE_PATH.read_text())
        except Exception:
            return {}
    return {}


def save_state(state: dict) -> None:
    STATE_PATH.parent.mkdir(parents=True, exist_ok=True)
    STATE_PATH.write_text(json.dumps(state, indent=2, ensure_ascii=False))


def send_feishu(title: str, body: str, color: str = "blue") -> None:
    cfg_path = Path.home() / ".codex" / "feishu.json"
    if not cfg_path.exists():
        return
    try:
        cfg = json.loads(cfg_path.read_text())
    except Exception:
        return
    if cfg.get("mode") in (None, "off"):
        return
    webhook = cfg.get("webhook_url")
    if not webhook:
        return
    payload = {
        "msg_type": "interactive",
        "card": {
            "header": {"title": {"tag": "plain_text", "content": title}, "template": color},
            "elements": [{"tag": "markdown", "content": body[:5000]}],
        },
    }
    try:
        req = urllib.request.Request(
            webhook,
            data=json.dumps(payload).encode(),
            headers={"Content-Type": "application/json"},
        )
        urllib.request.urlopen(req, timeout=8).read()
    except Exception as exc:
        log(f"feishu notification failed: {exc}")


def count_lines(path: Path) -> int:
    if not path.exists():
        return 0
    with path.open(errors="ignore") as f:
        return max(sum(1 for _ in f) - 1, 0)


def parse_latest_progress(path: Path) -> dict:
    if not path.exists():
        return {}
    text = run(f"tail -2000 {path}", timeout=10)
    matches = re.findall(r"\[Epoch (\d+) \| Step (\d+)\]", text)
    if not matches:
        return {}
    epoch, step = matches[-1]
    return {"epoch": int(epoch), "step": int(step)}


def collect_status() -> dict:
    procs = run(
        "ps -eo pid,etime,stat,cmd | grep -E "
        "'run_kermany_fm_pipeline|train_stage1.py|calculate_stat.py|src/train.py|"
        "kermany_dose_rn50|kermany_fm_sample|evaluate_quality' | grep -v grep || true"
    )
    gpu = run(
        "nvidia-smi --query-gpu=index,memory.used,memory.total,utilization.gpu "
        "--format=csv,noheader,nounits 2>/dev/null || true"
    )

    arms = {}
    for arm in ARMS:
        stage1_ckpt = RESULTS / "stage1" / f"stage1_{arm}" / "checkpoints" / "ep-last.pt"
        stat_file = RESULTS / "stats" / arm / "normalization_stats.pt"
        stage2_ckpt = RESULTS / "stage2" / f"stage2_{arm}" / "checkpoints" / "ep-last.pt"
        synth_csv = DOWN / "synth" / arm / "synth.csv"
        eval_json = EVAL / f"{arm}.json"
        dose = list(JSONS.glob(f"C-{arm}_d*.json"))
        full = list(JSONS.glob(f"C-{arm}_full_s*.json"))
        arms[arm] = {
            "stage1_done": stage1_ckpt.exists(),
            "stage1_progress": parse_latest_progress(LOGDIR / f"stage1_{arm}.log"),
            "stats_done": stat_file.exists(),
            "stage2_done": stage2_ckpt.exists(),
            "stage2_progress": parse_latest_progress(LOGDIR / f"stage2_{arm}.log"),
            "synth_rows": count_lines(synth_csv),
            "eval_done": eval_json.exists(),
            "downstream_json": len(dose) + len(full),
        }

    sdvae_json = len(list(JSONS.glob("C-sdvae_d*.json"))) + len(
        list(JSONS.glob("C-sdvae_full_s*.json"))
    )
    status = {
        "time": time.strftime("%Y-%m-%d %H:%M:%S"),
        "sdvae_done": (DOWN / "SDVAE_COMPLETION_DONE").exists(),
        "fm_done": (DOWN / "FM_PIPELINE_DONE").exists(),
        "sdvae_json": sdvae_json,
        "a_json": len(list(JSONS.glob("A_d*.json"))),
        "a_full_json": len(list(JSONS.glob("A_full_s*.json"))),
        "arms": arms,
        "process_lines": [line for line in procs.splitlines() if line.strip()],
        "gpu": [line for line in gpu.splitlines() if line.strip()],
    }
    return status


def summarize(status: dict) -> str:
    parts = []
    for arm, item in status["arms"].items():
        if item["downstream_json"] >= EXPECTED_DOWNSTREAM:
            stage = "downstream_done"
        elif item["synth_rows"] >= 8000:
            stage = "downstream"
        elif item["stage2_done"]:
            stage = "sample_eval"
        elif item["stats_done"]:
            stage = "stage2"
        elif item["stage1_done"]:
            stage = "stats"
        else:
            prog = item.get("stage1_progress") or {}
            if prog:
                stage = f"stage1_e{prog.get('epoch')}_s{prog.get('step')}"
            else:
                stage = "stage1_starting"
        parts.append(f"{arm}:{stage}")
    return "; ".join(parts)


def scan_new_errors(state: dict) -> list[str]:
    offsets = state.setdefault("log_offsets", {})
    files = [
        DOWN / "kermany_fm_pipeline.log",
        DOWN / "sdvae_completion.log",
    ]
    files.extend(LOGDIR.glob("*.log"))
    files.extend((DOWN / "logs").glob("*.log"))

    errors: list[str] = []
    for path in files:
        try:
            size = path.stat().st_size
        except FileNotFoundError:
            continue
        key = str(path)
        old = int(offsets.get(key, size))
        if size < old:
            old = 0
        if size > old:
            with path.open("r", errors="ignore") as f:
                f.seek(old)
                text = f.read(2_000_000)
            for line in text.splitlines():
                if any(pat in line for pat in ERROR_PATTERNS):
                    errors.append(f"{path.name}: {line[-500:]}")
        offsets[key] = size
    return errors[:20]


def main() -> None:
    DOWN.mkdir(parents=True, exist_ok=True)
    PID_PATH.write_text(str(os.getpid()))
    state = load_state()
    if not state:
        state = {"started_at": time.time(), "log_offsets": {}}
        scan_new_errors(state)
        save_state(state)
        log("monitor started")
        send_feishu("Kermany Monitor Started", "Kermany pipeline watcher is active.", "blue")

    while True:
        status = collect_status()
        summary = summarize(status)
        status["summary"] = summary
        errors = scan_new_errors(state)
        status["new_errors"] = errors
        STATUS.write_text(json.dumps(status, indent=2, ensure_ascii=False))

        last_summary = state.get("last_summary")
        last_done = state.get("last_done", False)
        if errors:
            log("ERRORS: " + " | ".join(errors[:3]))
            send_feishu("Kermany Pipeline Error", "\n".join(errors[:10]), "red")
        if summary != last_summary:
            log(f"progress: {summary}")
            send_feishu("Kermany Pipeline Progress", summary, "blue")
            state["last_summary"] = summary
        if status["fm_done"] and not last_done:
            body = "FM pipeline complete.\n\n" + summary
            log("FM pipeline complete")
            send_feishu("Kermany Pipeline Complete", body, "green")
            state["last_done"] = True
            save_state(state)
            if STOP_ON_DONE:
                break

        save_state(state)
        time.sleep(INTERVAL)


if __name__ == "__main__":
    main()