feat: classify offline and degraded connectivity
This commit is contained in:
@@ -0,0 +1,178 @@
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"""Execute and parse multi-packet fping probes without shell interpolation."""
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import asyncio
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from dataclasses import dataclass
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import re
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from typing import Iterable
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FPING_RESULT_PATTERN = re.compile(r"^\s*(\S+)\s+:\s*(.*?)\s*$")
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@dataclass(frozen=True)
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class ProbeResult:
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"""Aggregate result for one IP in one monitoring round."""
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ip: str
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sent_count: int
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received_count: int
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average_rtt_ms: float | None
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is_valid: bool
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failure_reason: str | None = None
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@property
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def packet_loss_percent(self) -> float:
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"""Return packet loss as a percentage of the attempted probes."""
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if self.sent_count <= 0:
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return 0.0
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return (
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(self.sent_count - self.received_count)
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/ self.sent_count
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* 100.0
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)
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def _invalid_result(
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ip: str,
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packets_per_round: int,
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reason: str,
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) -> ProbeResult:
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"""Build an invalid aggregate that cannot resemble measured packet loss."""
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return ProbeResult(
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ip=ip,
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sent_count=packets_per_round,
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received_count=0,
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average_rtt_ms=None,
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is_valid=False,
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failure_reason=reason,
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)
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def parse_fping_count_output(
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output: str,
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expected_ips: set[str],
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packets_per_round: int,
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) -> dict[str, ProbeResult]:
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"""Parse ``fping -C`` reply tokens for every expected IP.
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A numeric token is a measured RTT and ``-`` is packet loss. Missing,
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duplicated, or malformed lines are represented as invalid aggregates.
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"""
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if packets_per_round <= 0:
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raise ValueError("packets_per_round must be positive")
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parsed_lines: dict[str, list[str]] = {}
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duplicate_ips: set[str] = set()
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for line in output.splitlines():
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match = FPING_RESULT_PATTERN.match(line)
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if match is None:
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continue
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ip, replies = match.groups()
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if ip not in expected_ips:
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continue
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if ip in parsed_lines:
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duplicate_ips.add(ip)
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continue
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parsed_lines[ip] = replies.split()
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results: dict[str, ProbeResult] = {}
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for ip in expected_ips:
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tokens = parsed_lines.get(ip)
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if tokens is None:
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results[ip] = _invalid_result(
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ip,
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packets_per_round,
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"missing fping output",
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)
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continue
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if ip in duplicate_ips or len(tokens) != packets_per_round:
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results[ip] = _invalid_result(
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ip,
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packets_per_round,
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"malformed fping replies",
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)
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continue
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reply_times: list[float] = []
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malformed = False
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for token in tokens:
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if token == "-":
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continue
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try:
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reply_time = float(token)
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except ValueError:
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malformed = True
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break
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if reply_time < 0:
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malformed = True
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break
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reply_times.append(reply_time)
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if malformed:
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results[ip] = _invalid_result(
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ip,
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packets_per_round,
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"malformed fping replies",
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)
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continue
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average_rtt_ms = (
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sum(reply_times) / len(reply_times)
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if reply_times
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else None
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)
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results[ip] = ProbeResult(
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ip=ip,
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sent_count=packets_per_round,
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received_count=len(reply_times),
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average_rtt_ms=average_rtt_ms,
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is_valid=True,
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)
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return results
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async def run_fping_count(
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ips: Iterable[str],
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packets_per_round: int,
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timeout_ms: int,
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executable: str,
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) -> dict[str, ProbeResult]:
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"""Run one fping count probe and return an aggregate for every IP."""
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ip_list = list(ips)
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if not ip_list:
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return {}
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command = [
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executable,
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"-C",
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str(packets_per_round),
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"-q",
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"-t",
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str(timeout_ms),
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*ip_list,
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]
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try:
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process = await asyncio.create_subprocess_exec(
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*command,
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE,
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)
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stdout, stderr = await process.communicate()
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except Exception as error:
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reason = f"fping execution failed: {type(error).__name__}"
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return {
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ip: _invalid_result(ip, packets_per_round, reason)
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for ip in ip_list
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}
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output = "\n".join(
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stream.decode("utf-8", errors="replace")
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for stream in (stdout, stderr)
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if stream
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)
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return parse_fping_count_output(
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output,
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set(ip_list),
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packets_per_round,
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)
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+221
-198
@@ -1,242 +1,265 @@
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"""
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异步 Ping 引擎
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"""Persist batched probe summaries and apply device health transitions."""
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核心逻辑：
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1. 每轮从数据库加载所有启用设备，批量 fping
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2. 记录每台设备本轮 ping 结果（存活/响应时间）
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3. 状态机管理设备状态，判断是否从 online→offline 或 offline→online
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4. 结果通过回调或队列通知 alerter
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"""
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import asyncio
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import subprocess
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import time
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import logging
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from datetime import datetime
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from typing import Optional, Callable, Awaitable
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import time
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from collections import defaultdict
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from dataclasses import dataclass
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from datetime import datetime
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from typing import Awaitable, Callable
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from sqlalchemy import select, update
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.config import settings
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from app.models.device import Device, DeviceTypeEnum
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from app.config import Settings, settings
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from app.models.device import Device, DeviceMonitoringPolicy
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from app.models.ping_record import PingRecord
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from app.services.fping_runner import ProbeResult, run_fping_count
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from app.services.state_machine import StateDecision, evaluate_health
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logger = logging.getLogger("pingwatch.pinger")
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class PingResult:
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"""单台设备一轮 ping 的结果"""
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def __init__(self, device_id: int, is_alive: bool, response_time_ms: Optional[float] = None):
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self.device_id = device_id
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self.is_alive = is_alive
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self.response_time_ms = response_time_ms
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@dataclass(frozen=True)
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class DeviceStateChange:
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"""设备状态变化事件"""
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def __init__(self, device: Device, old_status: str, new_status: str, consecutive_failures: int):
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self.device = device
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self.old_status = old_status
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self.new_status = new_status
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self.consecutive_failures = consecutive_failures
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"""A persisted device health transition produced by one probe round."""
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device: Device
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old_status: str
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new_status: str
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consecutive_failures: int
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event_type: str | None = None
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reason: str = ""
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class Pinger:
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"""
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Ping 引擎，使用 fping 批量并发检测。
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对所有设备进 ping，返回存活状态和响应时间。
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"""
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"""Run multi-packet fping probes and update monitored device health."""
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def __init__(self):
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def __init__(self, runtime_settings: Settings | None = None):
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self._settings = runtime_settings or settings
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self._round_num = 0
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self._on_state_change: Optional[Callable[[DeviceStateChange], Awaitable[None]]] = None
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self._on_state_change: (
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Callable[[DeviceStateChange], Awaitable[None]] | None
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) = None
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def on_state_change(self, callback: Callable[[DeviceStateChange], Awaitable[None]]):
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"""注册状态变化回调"""
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def on_state_change(
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self,
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callback: Callable[[DeviceStateChange], Awaitable[None]],
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) -> None:
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"""Register the legacy transition callback during scheduler migration."""
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self._on_state_change = callback
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async def run_one_round(self, db: AsyncSession) -> list[PingResult]:
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"""
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执行一轮 ping 检测：
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1. 加载所有启用设备
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2. 批量 fping
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3. 记录结果
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4. 更新设备状态
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"""
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async def run_one_round(
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self,
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db: AsyncSession,
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) -> list[DeviceStateChange]:
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"""Persist one summary per enabled device and commit state changes once."""
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self._round_num += 1
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round_num = self._round_num
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# 1. 加载启用设备
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result = await db.execute(
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select(Device).where(Device.is_enabled == True)
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query_result = await db.execute(
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select(Device).where(Device.is_enabled.is_(True))
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)
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devices = list(result.scalars().all())
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devices = list(query_result.scalars().all())
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if not devices:
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logger.info(f"[Round {round_num}] 没有启用的设备")
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logger.info("[Round %s] no enabled devices", round_num)
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return []
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logger.info(f"[Round {round_num}] 开始检测 {len(devices)} 台设备")
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# 2. 批量 ping
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start_time = time.time()
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ip_to_device = {d.ip: d for d in devices}
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ip_list = list(ip_to_device.keys())
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ping_results_map = await self._batch_ping(ip_list)
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# 3. 构造结果
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results: list[PingResult] = []
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for ip, dev in ip_to_device.items():
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is_alive, rtt = ping_results_map.get(ip, (False, None))
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results.append(PingResult(device_id=dev.id, is_alive=is_alive, response_time_ms=rtt))
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elapsed = time.time() - start_time
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alive_count = sum(1 for r in results if r.is_alive)
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# 4. 批量写入 ping_records
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now = datetime.now()
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records = [
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PingRecord(
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device_id=r.device_id,
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is_alive=r.is_alive,
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response_time_ms=r.response_time_ms,
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round_num=round_num,
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created_at=now,
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started_at = time.monotonic()
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policies = {
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device.id: DeviceMonitoringPolicy.from_device(
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device,
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self._settings,
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)
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for r in results
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]
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db.add_all(records)
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for device in devices
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}
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probe_results = await self._probe_by_packet_count(devices, policies)
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observed_at = datetime.now()
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records_by_device: dict[int, PingRecord] = {}
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for device in devices:
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policy = policies[device.id]
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probe = probe_results.get(
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(device.id, policy.probe_packets_per_round)
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)
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if probe is None:
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probe = ProbeResult(
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ip=device.ip,
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sent_count=policy.probe_packets_per_round,
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received_count=0,
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average_rtt_ms=None,
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is_valid=False,
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failure_reason="missing runner result",
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)
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record = self._to_record(
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device=device,
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probe=probe,
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round_num=round_num,
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observed_at=observed_at,
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)
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records_by_device[device.id] = record
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db.add(record)
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await db.flush()
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# 5. 更新设备状态（状态机）
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device_map = {d.id: d for d in devices}
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for r in results:
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dev = device_map.get(r.device_id)
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if not dev:
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changes: list[DeviceStateChange] = []
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for device in devices:
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record = records_by_device[device.id]
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device.last_ping_time = observed_at
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if not record.is_valid:
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continue
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old_status = dev.current_status
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if r.is_alive:
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dev.consecutive_failures = 0
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dev.last_ping_time = now
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dev.last_online_time = now
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dev.current_status = "online"
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else:
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dev.consecutive_failures = (dev.consecutive_failures or 0) + 1
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dev.last_ping_time = now
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if dev.consecutive_failures >= dev.alert_threshold:
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if dev.current_status != "offline":
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dev.current_status = "offline"
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dev.last_offline_time = now
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else:
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if dev.current_status == "online":
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dev.current_status = "checking"
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# 状态变化回调
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if old_status != dev.current_status and self._on_state_change:
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change = DeviceStateChange(
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device=dev,
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old_status=old_status,
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new_status=dev.current_status,
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consecutive_failures=dev.consecutive_failures,
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)
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await self._on_state_change(change)
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policy = policies[device.id]
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recent = await self._load_recent_valid(
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db,
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device.id,
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policy,
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)
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decision = evaluate_health(
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device.current_status or "unknown",
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recent,
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policy,
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)
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self._update_observation_fields(device, recent, observed_at)
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change = self._apply_decision(
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device,
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decision,
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observed_at,
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)
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if change is not None:
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changes.append(change)
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await db.commit()
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if self._on_state_change is not None:
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for change in changes:
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await self._on_state_change(change)
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elapsed = time.monotonic() - started_at
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logger.info(
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f"[Round {round_num}] 完成: {alive_count}/{len(devices)} 在线, "
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f"耗时 {elapsed:.2f}s"
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"[Round %s] persisted %s device summaries with %s transitions "
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"in %.2fs",
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round_num,
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len(devices),
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len(changes),
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elapsed,
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)
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return changes
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async def _probe_by_packet_count(
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self,
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devices: list[Device],
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policies: dict[int, DeviceMonitoringPolicy],
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) -> dict[tuple[int, int], ProbeResult]:
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"""Run one argv-safe batch for each distinct packet-count policy."""
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groups: dict[int, list[Device]] = defaultdict(list)
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for device in devices:
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groups[policies[device.id].probe_packets_per_round].append(device)
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results: dict[tuple[int, int], ProbeResult] = {}
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timeout_ms = int(self._settings.PING_TIMEOUT_SECONDS * 1000)
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for packet_count, grouped_devices in groups.items():
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unique_ips = list(dict.fromkeys(
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device.ip for device in grouped_devices
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))
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batch = await run_fping_count(
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unique_ips,
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packets_per_round=packet_count,
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timeout_ms=timeout_ms,
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executable=self._settings.FPING_PATH,
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)
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for device in grouped_devices:
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probe = batch.get(device.ip)
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if probe is not None:
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results[(device.id, packet_count)] = probe
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return results
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async def _batch_ping(self, ip_list: list[str]) -> dict[str, tuple[bool, Optional[float]]]:
|
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"""
|
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使用 fping 批量 ping
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返回: { ip: (is_alive, response_time_ms) }
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"""
|
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if not ip_list:
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return {}
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@staticmethod
|
||||
def _to_record(
|
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device: Device,
|
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probe: ProbeResult,
|
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round_num: int,
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observed_at: datetime,
|
||||
) -> PingRecord:
|
||||
"""Convert a runner aggregate into the persisted compatibility model."""
|
||||
return PingRecord(
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device_id=device.id,
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||||
is_alive=probe.is_valid and probe.received_count > 0,
|
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response_time_ms=probe.average_rtt_ms,
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round_num=round_num,
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created_at=observed_at,
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sent_count=probe.sent_count,
|
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received_count=probe.received_count,
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packet_loss_percent=(
|
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probe.packet_loss_percent if probe.is_valid else None
|
||||
),
|
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average_rtt_ms=probe.average_rtt_ms,
|
||||
is_valid=probe.is_valid,
|
||||
failure_reason=probe.failure_reason,
|
||||
)
|
||||
|
||||
try:
|
||||
# fping 一次性 ping 多个 IP
|
||||
# -c 1: 每个 IP 发 1 个包
|
||||
# -t: 超时毫秒
|
||||
timeout_ms = int(settings.PING_TIMEOUT_SECONDS * 1000)
|
||||
cmd = [
|
||||
settings.FPING_PATH,
|
||||
"-c", "1",
|
||||
"-t", str(timeout_ms),
|
||||
"-e", # 显示响应时间
|
||||
] + ip_list
|
||||
@staticmethod
|
||||
async def _load_recent_valid(
|
||||
db: AsyncSession,
|
||||
device_id: int,
|
||||
policy: DeviceMonitoringPolicy,
|
||||
) -> list[PingRecord]:
|
||||
"""Load enough valid summaries for every configured transition rule."""
|
||||
history_size = max(
|
||||
policy.offline_consecutive_rounds,
|
||||
policy.degraded_window_rounds,
|
||||
policy.recovery_consecutive_clean_rounds,
|
||||
)
|
||||
query_result = await db.execute(
|
||||
select(PingRecord)
|
||||
.where(PingRecord.device_id == device_id)
|
||||
.where(PingRecord.is_valid.is_(True))
|
||||
.order_by(PingRecord.created_at.desc(), PingRecord.id.desc())
|
||||
.limit(history_size)
|
||||
)
|
||||
newest_first = list(query_result.scalars().all())
|
||||
return list(reversed(newest_first))
|
||||
|
||||
proc = await asyncio.create_subprocess_exec(
|
||||
*cmd,
|
||||
stdout=subprocess.PIPE,
|
||||
stderr=subprocess.PIPE,
|
||||
)
|
||||
stdout, stderr = await proc.communicate()
|
||||
@staticmethod
|
||||
def _update_observation_fields(
|
||||
device: Device,
|
||||
recent: list[PingRecord],
|
||||
observed_at: datetime,
|
||||
) -> None:
|
||||
"""Maintain compatibility timestamps and the full-loss streak counter."""
|
||||
current = recent[-1]
|
||||
if current.received_count > 0:
|
||||
device.last_online_time = observed_at
|
||||
|
||||
result_map: dict[str, tuple[bool, Optional[float]]] = {}
|
||||
full_loss_count = 0
|
||||
for record in reversed(recent):
|
||||
if record.sent_count and record.received_count == 0:
|
||||
full_loss_count += 1
|
||||
else:
|
||||
break
|
||||
device.consecutive_failures = full_loss_count
|
||||
|
||||
# fping 标准输出逐行: "IP : xmt/rcv/%loss = 1/1/0%, rtt min/avg/max = 0.12/0.12/0.12"
|
||||
# 或 "IP : xmt/rcv/%loss = 1/0/100%"
|
||||
for line in stdout.decode("utf-8", errors="replace").splitlines():
|
||||
line = line.strip()
|
||||
if ":" not in line:
|
||||
continue
|
||||
ip = line.split(":")[0].strip()
|
||||
# 解析响应时间
|
||||
if "rtt" in line:
|
||||
try:
|
||||
# 提取 avg rtt
|
||||
rtt_part = line.split("rtt")[1]
|
||||
# 格式: min/avg/max = 0.12/0.12/0.12
|
||||
if "=" in rtt_part:
|
||||
avg_rtt_str = rtt_part.split("=")[1].strip().split("/")[1]
|
||||
rtt_ms = float(avg_rtt_str)
|
||||
else:
|
||||
rtt_ms = None
|
||||
except (IndexError, ValueError):
|
||||
rtt_ms = None
|
||||
result_map[ip] = (True, rtt_ms)
|
||||
else:
|
||||
result_map[ip] = (False, None)
|
||||
@staticmethod
|
||||
def _apply_decision(
|
||||
device: Device,
|
||||
decision: StateDecision,
|
||||
observed_at: datetime,
|
||||
) -> DeviceStateChange | None:
|
||||
"""Apply one pure decision and materialize its transition value."""
|
||||
old_status = device.current_status or "unknown"
|
||||
if decision.next_status == old_status:
|
||||
return None
|
||||
|
||||
return result_map
|
||||
device.current_status = decision.next_status
|
||||
if decision.next_status == "offline":
|
||||
device.last_offline_time = observed_at
|
||||
if decision.next_status == "online":
|
||||
device.last_online_time = observed_at
|
||||
|
||||
except FileNotFoundError:
|
||||
logger.warning("fping 未找到，回退到系统 ping (串行)")
|
||||
return await self._fallback_ping(ip_list)
|
||||
except Exception as e:
|
||||
logger.error(f"fping 异常: {e}")
|
||||
return await self._fallback_ping(ip_list)
|
||||
|
||||
async def _fallback_ping(self, ip_list: list[str]) -> dict[str, tuple[bool, Optional[float]]]:
|
||||
"""回退方案：使用系统 ping，并发执行"""
|
||||
async def ping_one(ip: str) -> tuple[str, bool, Optional[float]]:
|
||||
try:
|
||||
timeout = settings.PING_TIMEOUT_SECONDS
|
||||
cmd = ["ping", "-c", "1", "-W", str(int(timeout)), ip]
|
||||
start = time.time()
|
||||
proc = await asyncio.create_subprocess_exec(
|
||||
*cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL,
|
||||
)
|
||||
await proc.wait()
|
||||
elapsed = (time.time() - start) * 1000
|
||||
return ip, proc.returncode == 0, round(elapsed, 2)
|
||||
except Exception:
|
||||
return ip, False, None
|
||||
|
||||
tasks = [ping_one(ip) for ip in ip_list]
|
||||
sem = asyncio.Semaphore(settings.PING_CONCURRENCY)
|
||||
|
||||
async def bounded_ping(ip: str):
|
||||
async with sem:
|
||||
return await ping_one(ip)
|
||||
|
||||
results = await asyncio.gather(*[bounded_ping(ip) for ip in ip_list])
|
||||
return {ip: (alive, rtt) for ip, alive, rtt in results}
|
||||
return DeviceStateChange(
|
||||
device=device,
|
||||
old_status=old_status,
|
||||
new_status=decision.next_status,
|
||||
consecutive_failures=device.consecutive_failures or 0,
|
||||
event_type=decision.event_type,
|
||||
reason=decision.reason,
|
||||
)
|
||||
|
||||
@@ -0,0 +1,126 @@
|
||||
"""Pure state transitions for device connectivity health."""
|
||||
|
||||
from dataclasses import dataclass
|
||||
from typing import Protocol, Sequence
|
||||
|
||||
from app.models.device import DeviceMonitoringPolicy
|
||||
|
||||
|
||||
class ProbeSample(Protocol):
|
||||
"""Packet summary attributes required for health evaluation."""
|
||||
|
||||
sent_count: int
|
||||
received_count: int
|
||||
is_valid: bool
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class StateDecision:
|
||||
"""Result of evaluating recent probes against a monitoring policy."""
|
||||
|
||||
next_status: str
|
||||
event_type: str | None
|
||||
should_notify: bool
|
||||
reason: str
|
||||
|
||||
|
||||
def _retain(previous_status: str, reason: str) -> StateDecision:
|
||||
"""Return a non-notifying decision that preserves current health."""
|
||||
return StateDecision(
|
||||
next_status=previous_status,
|
||||
event_type=None,
|
||||
should_notify=False,
|
||||
reason=reason,
|
||||
)
|
||||
|
||||
|
||||
def _transition(
|
||||
previous_status: str,
|
||||
next_status: str,
|
||||
event_type: str,
|
||||
reason: str,
|
||||
) -> StateDecision:
|
||||
"""Return a transition event only when the persisted status changes."""
|
||||
if previous_status == next_status:
|
||||
return _retain(previous_status, reason)
|
||||
return StateDecision(
|
||||
next_status=next_status,
|
||||
event_type=event_type,
|
||||
should_notify=True,
|
||||
reason=reason,
|
||||
)
|
||||
|
||||
|
||||
def _is_valid(sample: ProbeSample) -> bool:
|
||||
"""Reject impossible summaries before they influence device health."""
|
||||
return (
|
||||
sample.is_valid
|
||||
and sample.sent_count > 0
|
||||
and 0 <= sample.received_count <= sample.sent_count
|
||||
)
|
||||
|
||||
|
||||
def evaluate_health(
|
||||
previous_status: str,
|
||||
recent: Sequence[ProbeSample],
|
||||
policy: DeviceMonitoringPolicy,
|
||||
) -> StateDecision:
|
||||
"""Evaluate ordered oldest-to-newest probe summaries.
|
||||
|
||||
Invalid input retains state. Offline has priority over aggregate degraded
|
||||
loss, and an alerted state recovers only after the configured clean streak.
|
||||
"""
|
||||
if not recent:
|
||||
return _retain(previous_status, "no probe history")
|
||||
if any(not _is_valid(sample) for sample in recent):
|
||||
return _retain(previous_status, "invalid probe history")
|
||||
|
||||
offline_rounds = policy.offline_consecutive_rounds
|
||||
if len(recent) >= offline_rounds and all(
|
||||
sample.received_count == 0
|
||||
for sample in recent[-offline_rounds:]
|
||||
):
|
||||
return _transition(
|
||||
previous_status,
|
||||
"offline",
|
||||
"offline",
|
||||
f"{offline_rounds} consecutive full-loss rounds",
|
||||
)
|
||||
|
||||
recovery_rounds = policy.recovery_consecutive_clean_rounds
|
||||
if (
|
||||
previous_status in {"offline", "degraded"}
|
||||
and len(recent) >= recovery_rounds
|
||||
and all(
|
||||
sample.received_count == sample.sent_count
|
||||
for sample in recent[-recovery_rounds:]
|
||||
)
|
||||
):
|
||||
return _transition(
|
||||
previous_status,
|
||||
"online",
|
||||
"recovered",
|
||||
f"{recovery_rounds} consecutive clean rounds",
|
||||
)
|
||||
|
||||
degraded_rounds = policy.degraded_window_rounds
|
||||
if len(recent) >= degraded_rounds:
|
||||
window = recent[-degraded_rounds:]
|
||||
sent_count = sum(sample.sent_count for sample in window)
|
||||
received_count = sum(sample.received_count for sample in window)
|
||||
loss_percent = (sent_count - received_count) / sent_count * 100.0
|
||||
if (
|
||||
previous_status != "offline"
|
||||
and loss_percent >= policy.degraded_loss_percent
|
||||
):
|
||||
return _transition(
|
||||
previous_status,
|
||||
"degraded",
|
||||
"degraded",
|
||||
(
|
||||
f"window packet loss {loss_percent:.2f}% is at or above "
|
||||
f"{policy.degraded_loss_percent:.2f}%"
|
||||
),
|
||||
)
|
||||
|
||||
return _retain(previous_status, "no transition threshold met")
|
||||
Reference in New Issue
Block a user