Nexus Agent
dabfc128b3
- 3389远程页 + guacd 侧车 WebSocket 桥（无 RDP 会话审计） - 文件推送完成独立提示音，至少一台成功即播放 - 子机列表展开 CPU/内存/磁盘 sparkline 与指标采样落库 - 终端全量服务器列表、连接中状态；告警 Telegram 公网 IP - SSH 密钥凭据 UI 简化；子机搜索未设路径筛选 Co-authored-by: Cursor <cursoragent@cursor.com>
69 lines
2.3 KiB
Python
69 lines
2.3 KiB
Python
"""Per-server metric parsing and offline segment merging."""
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from __future__ import annotations
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import json
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from typing import Any
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from server.utils.fleet_metrics import _metric_from_system_info
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def parse_system_info_metrics(system_info: dict[str, Any] | str | None) -> tuple[int | None, int | None]:
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"""Extract CPU/mem integer percentages from Agent system_info."""
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if system_info is None:
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return None, None
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info: dict[str, Any]
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if isinstance(system_info, str):
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try:
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parsed = json.loads(system_info)
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except json.JSONDecodeError:
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return None, None
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info = parsed if isinstance(parsed, dict) else {}
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elif isinstance(system_info, dict):
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info = system_info
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else:
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return None, None
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cpu = _metric_from_system_info(info, "cpu_usage", "cpu")
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mem = _metric_from_system_info(info, "mem_usage", "mem")
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cpu_i = round(cpu) if cpu is not None else None
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mem_i = round(mem) if mem is not None else None
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return cpu_i, mem_i
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def sample_from_redis_heartbeat(data: dict[str, Any]) -> tuple[bool, int | None, int | None]:
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"""Map Redis heartbeat hash to (is_online, cpu_pct, mem_pct) for one flush sample."""
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is_online = data.get("is_online") == "True"
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if not is_online:
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return False, None, None
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cpu, mem = parse_system_info_metrics(data.get("system_info"))
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return True, cpu, mem
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def merge_offline_segments(points: list[dict[str, Any]]) -> list[dict[str, str]]:
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"""Merge consecutive is_online=false points into {from, to} segments (recorded_at strings)."""
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if not points:
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return []
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segments: list[dict[str, str]] = []
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seg_start: str | None = None
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prev_at: str | None = None
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for point in points:
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recorded_at = str(point.get("recorded_at") or "")
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if not recorded_at:
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continue
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is_online = bool(point.get("is_online"))
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if not is_online:
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if seg_start is None:
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seg_start = recorded_at
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elif seg_start is not None and prev_at is not None:
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segments.append({"from": seg_start, "to": prev_at})
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seg_start = None
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prev_at = recorded_at
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if seg_start is not None and prev_at is not None:
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segments.append({"from": seg_start, "to": prev_at})
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return segments
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