"""监控数据自动清理服务

按配置的保留周期清理 metrics.db 中的历史数据，防止 SQLite 无限膨胀：
- MetricPoint:   高频时序数据，默认保留 30 天
- SecurityCheck: 安全检查历史，默认保留 90 天
- EventLog:      事件日志，默认保留 180 天

提供两种触发方式：
1. 应用启动后由 asyncio 后台任务按 CLEANUP_INTERVAL_HOURS 周期执行
2. 通过 API 手动触发（POST /api/monitor/cleanup）
"""

import asyncio
import logging
from datetime import timedelta

from sqlmodel import Session, delete, select

from app.core.config import settings
from app.core.timeutils import utcnow
from app.database import metrics_engine
from app.models.monitor import EventLog, MetricPoint, SecurityCheck

logger = logging.getLogger("vps-manager.cleanup")

# 单批删除行数上限：避免大表单条 DELETE 长时间持有写锁，阻塞 Agent 上报
_BATCH_SIZE = 1000


def _delete_in_batches(session: Session, model, cutoff, batch_size: int = _BATCH_SIZE) -> int:
    """分批删除指定模型的过期数据（ts < cutoff），返回总删除行数

    SQLite 不支持 DELETE ... LIMIT，用子查询 SELECT id ... LIMIT 实现分批。
    """
    total = 0
    while True:
        subq = select(model.id).where(model.ts < cutoff).limit(batch_size)
        ids = [row[0] if isinstance(row, tuple) else row for row in session.exec(subq).all()]
        if not ids:
            break
        session.exec(delete(model).where(model.id.in_(ids)))
        session.commit()  # 每批独立提交，缩短写锁持有时间
        total += len(ids)
        if len(ids) < batch_size:
            break
    return total


def cleanup_metrics(
    metrics_days: int | None = None,
    security_days: int | None = None,
    event_log_days: int | None = None,
) -> dict:
    """按保留天数清理过期监控数据，返回各类删除条数"""
    metrics_days = metrics_days if metrics_days is not None else settings.METRICS_RETENTION_DAYS
    security_days = security_days if security_days is not None else settings.SECURITY_RETENTION_DAYS
    event_log_days = event_log_days if event_log_days is not None else settings.EVENT_LOG_RETENTION_DAYS

    now = utcnow()
    result = {"metric_points": 0, "security_checks": 0, "event_logs": 0}

    with Session(metrics_engine) as session:
        if metrics_days > 0:
            cutoff = now - timedelta(days=metrics_days)
            result["metric_points"] = _delete_in_batches(session, MetricPoint, cutoff)

        if security_days > 0:
            cutoff = now - timedelta(days=security_days)
            result["security_checks"] = _delete_in_batches(session, SecurityCheck, cutoff)

        if event_log_days > 0:
            cutoff = now - timedelta(days=event_log_days)
            result["event_logs"] = _delete_in_batches(session, EventLog, cutoff)

    logger.info(
        "监控数据清理完成：metric_points=%s, security_checks=%s, event_logs=%s",
        result["metric_points"],
        result["security_checks"],
        result["event_logs"],
    )
    return result


async def cleanup_loop() -> None:
    """后台周期清理任务（CLEANUP_INTERVAL_HOURS=0 时不启动）"""
    interval_hours = settings.CLEANUP_INTERVAL_HOURS
    if interval_hours <= 0:
        logger.info("监控数据自动清理已禁用（CLEANUP_INTERVAL_HOURS=0）")
        return
    interval_sec = interval_hours * 3600
    logger.info("监控数据自动清理已启动，间隔 %s 小时", interval_hours)
    while True:
        try:
            # 在线程池执行同步 DB 操作，避免阻塞事件循环
            await asyncio.to_thread(cleanup_metrics)
        except Exception:  # noqa: BLE001
            logger.exception("监控数据自动清理执行失败")
        await asyncio.sleep(interval_sec)