Compare commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
b9757e2ccb | ||
|
|
de153140f4 | ||
|
|
41194e2935 | ||
|
|
082a94293a | ||
|
|
bf5a1c7301 | ||
|
|
6620377934 | ||
|
|
81df67fb20 | ||
|
|
96442db19c | ||
|
|
0936a86d0e | ||
|
|
ed23092cd6 | ||
|
|
d5e78908fb | ||
|
|
e0627a9158 | ||
|
|
986dc63179 | ||
|
|
fc764b9faa | ||
|
|
44eccf9a75 | ||
|
|
1abd96f081 | ||
|
|
37727fa9df | ||
|
|
c13dfb6df8 | ||
|
|
42f1d20a99 | ||
|
|
9e2475dfe0 | ||
|
|
5d46667aef | ||
|
|
d1c923d59e | ||
|
|
28eecb55ed | ||
|
|
3f72ef7412 | ||
|
|
843322534f | ||
|
|
b52df4b192 | ||
|
|
f49315dd23 |
No files matched your search
@@ -1,27 +1,11 @@
|
||||
# Use an official Python runtime as a parent image
|
||||
FROM python:3.9-slim-bullseye
|
||||
|
||||
# Set the working directory in the container
|
||||
FROM python:3.11-slim
|
||||
WORKDIR /app
|
||||
|
||||
# Install system dependencies (for psutil if needed)
|
||||
RUN apt-get update && apt-get install -y \
|
||||
smartmontools \
|
||||
net-tools \
|
||||
iproute2 \
|
||||
procps \
|
||||
lm-sensors \
|
||||
--no-install-recommends && \
|
||||
rm -rf /var/lib/apt/lists/*
|
||||
|
||||
# Copy the current directory contents into the container at /app
|
||||
COPY . /app
|
||||
|
||||
# Install any needed packages specified in requirements.txt
|
||||
RUN pip install --no-cache-dir -r requirements.txt
|
||||
|
||||
# Make port 5000 available to the world outside this container
|
||||
EXPOSE 5000
|
||||
|
||||
# Run app.py when the container launches
|
||||
CMD ["python3", "app.py"]
|
||||
RUN apt-get update && apt-get install -y --no-install-recommends iproute2 util-linux && rm -rf /var/lib/apt/lists/* && pip install --no-cache-dir flask psutil -i https://mirrors.aliyun.com/pypi/simple/
|
||||
COPY app.py .
|
||||
COPY hw_mem.json .
|
||||
COPY hw_disk.json .
|
||||
COPY hw_net.json .
|
||||
COPY public ./public
|
||||
ENV PORT=7031
|
||||
EXPOSE 7031
|
||||
CMD ["python", "app.py"]
|
||||
|
Before Width: | Height: | Size: 4.3 KiB |
@@ -1,192 +0,0 @@
|
||||
1|# 💻 fnmon — fnOS 全功能系统监控面板
|
||||
2|
|
||||
3|> 一款专为飞牛 fnOS 打造的**实时系统监控面板**,一个 Docker 命令即可拥有媲美专业 NAS 监控的 Web 界面!
|
||||
4|
|
||||
5|---
|
||||
6|
|
||||
7|## 🎯 简介
|
||||
8|
|
||||
9|**fnmon**是一个轻量级的 Web 监控工具,以 Docker 容器方式运行在飞牛系统上。无需安装额外驱动、无需修改系统文件,一条命令跑起来就能用。
|
||||
10|
|
||||
11|它提供了传统 NAS 系统(如群晖 DSM、威联通 QTS)才有的可视化监控体验,但专为飞牛 OS 深度定制。
|
||||
12|
|
||||
13|---
|
||||
14|
|
||||
15|## ✨ 功能亮点
|
||||
16|
|
||||
17|### ⚡ CPU 监控
|
||||
18|- 实时频率显示(每个核心独立展示)
|
||||
19|- Governor / EPP 运行模式
|
||||
20|- 核心温度(支持 SATA/HDD/SDD/NVMe)
|
||||
21|- Turbo Boost / 超频检测
|
||||
22|- 60 秒频率历史曲线图
|
||||
23|- **CPU 评测跑分数据**(PassMark、Cinebench、Geekbench)
|
||||
24|- **同级 CPU 横向对比柱状图**(N100/J4125/i5-8400T/i3-12100...)
|
||||
25|
|
||||
26|### 🧠 内存监控
|
||||
27|- 总容量 / 已用 / 可用 / 缓存
|
||||
28|- SWAP 使用情况
|
||||
29|- 内存历史趋势图
|
||||
30|
|
||||
31|### 🌐 网络监控
|
||||
32|- 实时网速(上传/下载)
|
||||
33|- 总流量统计
|
||||
34|- **Docker 容器流量排行**(哪个容器最占带宽一目了然)
|
||||
35|- 按日/月/年统计
|
||||
36|
|
||||
37|### 💾 磁盘监控
|
||||
38|- 所有磁盘设备列表
|
||||
39|- **物理硬盘健康状态**(SMART 信息)
|
||||
40| - 🌡 硬盘温度
|
||||
41| - ❤️ NVMe 寿命百分比
|
||||
42| - ✅ SATA 健康状态(PASSED/FAILED)
|
||||
43| - 🔄 通电时间
|
||||
44| - 💾 总写入量
|
||||
45|
|
||||
46|### 📱 应用用量排行
|
||||
47|- 综合 CPU + 内存 + 网络 三维度评分
|
||||
48|- 按 **日/周/月/年/总计** 排行
|
||||
49|- 一键切换时间维度
|
||||
50|
|
||||
51|### 🔝 进程 CPU 占用排行(TOP 20)
|
||||
52|- 实时刷新,按 CPU 占用排序
|
||||
53|- 显示 PID、用户、启动时间
|
||||
54|- CPU% 颜色标识(红 > 50% / 橙 > 20% / 黄 > 5%)
|
||||
55|
|
||||
56|---
|
||||
57|
|
||||
58|## 📷 界面预览
|
||||
59|
|
||||
60|```
|
||||
61|+----------------------------------------------------------+
|
||||
62|| ⚡ CPU i3-9100T@ 3.10GHz 💠 4C |
|
||||
63|| Governor EPP 温度 频率范围 负载 风扇 模式 Boost |
|
||||
64|| ███████ ███ ███ ███████ ███ ███ ███ ████████ |
|
||||
65|+----------------------------------------------------------+
|
||||
66|| [CPU0 799MHz ████] [CPU1 800MHz ████] |
|
||||
67|| [CPU2 799MHz ████] [CPU3 800MHz ████] |
|
||||
68|+----------------------------------------------------------+
|
||||
69|| 📈 频率历史 (60s) |
|
||||
70|| ╱╲ |
|
||||
71|| ╱ ╲___ 频率曲线图 |
|
||||
72|+----------------------------------------------------------+
|
||||
73|| 🆚 同级CPU对比 (PassMark多核) |
|
||||
74|| i3-9100T ← 你 ██████████ 5500 |
|
||||
75|| i5-8400T ████████████████ 8500 |
|
||||
76|| N100 ████████ 4200 |
|
||||
77|+----------------------------------------------------------+
|
||||
78|| 📊 性能评测 |
|
||||
79|| PassMark: 5500 Cinebench: 3200 Geekbench: 3500 |
|
||||
80|+----------------------------------------------------------+
|
||||
81|| 🔝 进程排行 | PID | 用户 | CPU% | 内存 | 启动 | 进程名 |
|
||||
82|+----------------------------------------------------------+
|
||||
83|```
|
||||
84|
|
||||
85|(实际界面为深色主题,数据实时刷新,更美观)
|
||||
86|
|
||||
87|---
|
||||
88|
|
||||
89|## 🚀 快速安装
|
||||
90|
|
||||
91|### 方式一:Docker 一键运行(推荐 👍)
|
||||
92|
|
||||
93|```bash
|
||||
94|docker run -d \
|
||||
95| --name fnmon \
|
||||
96| -p 5000:5000 \
|
||||
97| --privileged \
|
||||
98| -v /proc:/proc:ro \
|
||||
99| -v /sys:/sys:ro \
|
||||
100| jinghui1984/fnmon:latest
|
||||
101|```
|
||||
102|
|
||||
103|启动后浏览器访问:**http://飞牛IP:5000**
|
||||
104|
|
||||
105|### 方式二:Docker Compose
|
||||
106|
|
||||
107|创建 `docker-compose.yml`:
|
||||
108|
|
||||
109|```yaml
|
||||
110|version: '3'
|
||||
111|services:
|
||||
112| fnmon:
|
||||
113| image: jinghui1984/fnmon:latest
|
||||
114| container_name: fnmon
|
||||
115| restart: always
|
||||
116| ports:
|
||||
117| - "5000:5000"
|
||||
118| privileged: true
|
||||
119| volumes:
|
||||
120| - /proc:/proc:ro
|
||||
121| - /sys:/sys:ro
|
||||
122|```
|
||||
123|
|
||||
124|运行:
|
||||
125|```bash
|
||||
126|docker compose up -d
|
||||
127|```
|
||||
128|
|
||||
129|### 方式三:SSH 离线安装
|
||||
130|
|
||||
131|下载 fpk + 脚本:
|
||||
132|
|
||||
133|| 文件 | 说明 |
|
||||
134||------|------|
|
||||
135|| `fnmon-v1.0.15.fpk` | fnOS 应用包(44KB) |
|
||||
136|| `install.sh` | 一键安装脚本 |
|
||||
137|
|
||||
138|```bash
|
||||
139|sudo bash install.sh
|
||||
140|```
|
||||
141|
|
||||
142|---
|
||||
143|
|
||||
144|## ⚙️ 技术架构
|
||||
145|
|
||||
146|```
|
||||
147|┌─────────────┐ ┌─────────────┐ ┌─────────────┐
|
||||
148|│ Flask 后端 │────▶│ SQLite 存储 │────▶│ 前端 Dashboard │
|
||||
149|│ (Python) │ │ (用量追踪) │ │ (HTML+JS) │
|
||||
150|└──────┬──────┘ └─────────────┘ └─────────────┘
|
||||
151| │
|
||||
152| ├──▶ psutil / smartctl / /proc (系统数据采集)
|
||||
153| ├──▶ Docker API (容器流量)
|
||||
154| └──▶ SSE 推送 (实时刷新)
|
||||
155|```
|
||||
156|
|
||||
157|---
|
||||
158|
|
||||
159|## 📦 下载链接
|
||||
160|
|
||||
161|| 资源 | 链接 / 位置 |
|
||||
162||------|------------|
|
||||
163|| Docker Hub | `jinghui1984/fnmon:latest` |
|
||||
164|| Docker Compose | 见上方 `docker-compose.yml` |
|
||||
165|| 离线 fpk | 评论区下载 |
|
||||
166|
|
||||
167|---
|
||||
168|
|
||||
169|## 🔄 更新计划
|
||||
170|
|
||||
171|- [x] CPU 频率 + 核心温度监控
|
||||
172|- [x] 内存 / SWAP 趋势图
|
||||
173|- [x] 网络流量 + 容器排行
|
||||
174|- [x] 硬盘健康 (SMART / NVMe 寿命)
|
||||
175|- [x] 进程 CPU 排行
|
||||
176|- [x] 应用用量排行(日/周/月/年)
|
||||
177|- [x] CPU 评测 + 对比
|
||||
178|- [ ] 暗色/亮色主题切换
|
||||
179|- [ ] 自定义端口配置
|
||||
180|- [ ] 微信/邮件告警(CPU温度过高)
|
||||
181|- [ ] 多语言支持
|
||||
182|
|
||||
183|---
|
||||
184|
|
||||
185|## 💬 交流反馈
|
||||
186|
|
||||
187|- 使用中遇到问题请在评论区留言
|
||||
188|- 想加新功能请在这里提出建议
|
||||
189|- GitHub:https://github.com/jinghui1984/fnmon
|
||||
190|
|
||||
191|**觉得好用的话记得回帖支持一下!** 🎉
|
||||
192|
|
||||
@@ -1,78 +1,78 @@
|
||||
<div align="center">
|
||||
# 飞牛NAS必装:进程级资源监控,比自带强10倍,一眼看穿谁在偷吃你的CPU/内存/磁盘/网络全透视,带一键内存回收的监控面板
|
||||
CPU/内存/磁盘/网络 + 进程排行 + 一键回收 + SMART/连接明细,Docker一键部署
|
||||
|
||||
# 🖥️ 小白系统监控器 — fnOS飞牛实时系统监控面板 - docker应用
|
||||
> 飞牛 NAS 专属的轻量级系统资源监控面板 —— 一个 Docker 命令即可拥有媲美专业 NAS 监控的 Web 界面。
|
||||
|
||||
**一键 Docker 部署 | 6 大监控维度 | 数据可导出**
|
||||
|
||||
[](https://hub.docker.com/r/jinghui1984/fnmon)
|
||||
[](https://github.com/personal82555/fnmon)
|
||||
[](LICENSE)
|
||||
[](https://www.fnnas.com)
|
||||
|
||||
---
|
||||
|
||||
<p align="center">
|
||||
<img src="https://img.88531.cn/i/2026/06/15/6a2ed1dd6dbc5.png" alt="fnmon 总览" width="80%"/>
|
||||
</p>
|
||||
## ✨ 为什么选择 fnos-resmon?与飞牛自带的对比
|
||||
|
||||
**fnmon** 是一款专为飞牛 fnOS 打造的实时系统监控面板。一个 Docker 命令即可拥有媲美专业 NAS 监控的 Web 界面,涵盖 **CPU、内存、网络、磁盘、进程排行、应用用量** 六大维度,所有历史数据支持一键导出。
|
||||
飞牛自带的系统信息只能看到 CPU/内存占用率、存储卷用量等**汇总数字**:哪个进程在吃 CPU?哪块盘 SMART 告警了?哪个端口被谁占用了?一键能回收内存吗?这些它都做不到。fnos-resmon 正好补上这些短板:
|
||||
|
||||
</div>
|
||||
| 能力 | 飞牛自带 | fnos-resmon |
|
||||
|------|---------|-------------|
|
||||
| CPU/内存占用率 | ✅ 有 | ✅ 有 |
|
||||
| 进程级 CPU/内存排行 | ❌ 无 | ✅ 进程名/PID/用户/状态/线程数 |
|
||||
| 内存 RSS/USS/SWAP 明细 | ❌ 无 | ✅ 三列细分 |
|
||||
| 一键内存回收(drop caches) | ❌ 无 | ✅ 一键释放 |
|
||||
| 一键结束异常进程 | ❌ 无 | ✅ 一键 kill |
|
||||
| 磁盘 SMART/温度/通电时间 | ❌ 需命令行 | ✅ Web 直观展示 |
|
||||
| TCP 连接明细/侦听端口 | ❌ 无 | ✅ 进程+地址+状态 |
|
||||
| 网卡驱动/MTU/双工 | ❌ 无 | ✅ 有 |
|
||||
| 表头排序/箭头指示 | ❌ 无 | ✅ 点击即排序 |
|
||||
|
||||
---
|
||||
|
||||
## ✨ 核心特性
|
||||
|
||||
| 特性 | 说明 |
|
||||
|------|------|
|
||||
| 🚀 **一键部署** | 一条 `docker run` 命令启动,无需安装驱动 |
|
||||
| ⚡ **实时推送** | SSE 技术,2 秒刷新一次,延迟极低 |
|
||||
| 📊 **维度全面** | 6 大面板覆盖系统全部关键指标 |
|
||||
| 💾 **数据导出** | 一键导出所有历史数据到 NAS 目录,JSON 格式 |
|
||||
| 📱 **移动适配** | 深色主题,侧边栏导航,屏幕利用率高 |
|
||||
| 🐳 **零侵入** | Docker 容器运行,不修改系统文件 |
|
||||
- 🚀 **一键部署**:一条 `docker run` 启动,无需额外驱动
|
||||
- ⚡ **实时刷新**:3 秒自动更新,数据实时
|
||||
- 📊 **维度全面**:CPU / 内存 / 磁盘 / 网络 四大面板,进程级明细
|
||||
- 🔍 **进程级洞察**:每个进程 CPU、内存、IO、连接数一目了然
|
||||
- 🧹 **内存回收**:一键 drop caches 释放可回收内存
|
||||
- 🔪 **进程管理**:一键结束异常进程
|
||||
- 📱 **移动适配**:响应式布局,手机也能看
|
||||
- 🐳 **零侵入**:Docker 容器运行,不修改系统文件
|
||||
|
||||
---
|
||||
|
||||
## 📸 功能截图
|
||||
|
||||
### ⚡ CPU 监控
|
||||
实时显示 CPU 型号、每个核心的当前频率、Governor/EPP 运行模式、核心温度(支持 SATA/NVMe 硬盘温度)、Turbo Boost 状态、60 秒频率历史曲线图。还包括 CPU 评测跑分(PassMark/Cinebench/Geekbench)和同级 CPU 横向对比。
|
||||

|
||||
|
||||
<p align="center">
|
||||
<img src="https://img.88531.cn/i/2026/06/15/6a2ed1db91017.png" alt="CPU 面板" width="90%"/>
|
||||
</p>
|
||||

|
||||
|
||||
### 🧠 内存监控
|
||||
总容量 / 已用 / 可用 / 缓存 / SWAP 全面展示,进度条可视化,数据实时更新。
|
||||

|
||||
|
||||
<p align="center">
|
||||
<img src="https://img.88531.cn/i/2026/06/15/6a2ed1dcc7cc3.png" alt="内存面板" width="90%"/>
|
||||
</p>
|
||||

|
||||
|
||||
### 🌐 网络流量
|
||||
实时上传/下载网速、当月/当日累计流量、Docker 容器流量排行(TOP 15)、60 秒流量趋势图。
|
||||
---
|
||||
|
||||
<p align="center">
|
||||
<img src="https://img.88531.cn/i/2026/06/15/6a2ed1dc13916.png" alt="网络面板" width="90%"/>
|
||||
</p>
|
||||
## 📋 功能清单
|
||||
|
||||
### 💾 磁盘健康
|
||||
物理硬盘列表(型号、容量、接口类型)、SMART 健康状态、硬盘温度、NVMe 寿命百分比、通电时间、总写入量。磁盘分区挂载点使用率 + 60 秒 I/O 趋势图。
|
||||
### CPU 监控
|
||||
- CPU 型号、架构、物理/逻辑核数
|
||||
- 实时 CPU 占用率、负载(1/5/15 分钟)
|
||||
- 每核心频率与占用率可视化
|
||||
- L1/L2/L3 缓存信息
|
||||
- 进程 CPU 占用排行(TOP N)
|
||||
|
||||
<p align="center">
|
||||
<img src="https://img.88531.cn/i/2026/06/15/6a2ed1de2fcce.png" alt="磁盘面板" width="90%"/>
|
||||
</p>
|
||||
### 内存监控
|
||||
- 内存占用率、已用/总共/可用
|
||||
- SWAP 使用情况
|
||||
- 物理内存槽位详情(容量、类型、频率、厂商)
|
||||
- 进程 RSS / USS / SWAP 明细
|
||||
- 一键回收可回收内存(drop caches)
|
||||
|
||||
### 📱 应用用量排行
|
||||
综合 CPU + 内存 + 网络 三维度加权评分,可按 **日/周/月/年/总计** 切换时间维度,快速定位资源消耗大户。
|
||||
### 磁盘监控
|
||||
- 挂载点使用率、读写累计
|
||||
- 物理硬盘 SMART 健康状态
|
||||
- 硬盘温度、通电时间、坏道重映射
|
||||
- 阵列拓扑展示
|
||||
|
||||
<p align="center">
|
||||
<img src="https://img.88531.cn/i/2026/06/15/6a2ed1df0cf82.png" alt="应用用量排行" width="90%"/>
|
||||
</p>
|
||||
|
||||
### 🔝 进程 CPU 排名
|
||||
实时 TOP 20 进程,含 PID、用户、CPU%、内存%、启动时间。CPU% 用颜色标识(🔴>50% / 🟠>20% / 🟡>5%)。
|
||||
### 网络监控
|
||||
- 实时上传/下载速率、累计收发量
|
||||
- 连接数统计
|
||||
- TCP 连接明细表(进程、本地/远程地址、状态)
|
||||
- 侦听端口表
|
||||
- 网卡信息(IP、MAC、速率、双工、MTU、驱动)
|
||||
|
||||
---
|
||||
|
||||
@@ -81,62 +81,13 @@
|
||||
### 方式一:Docker 运行(推荐)
|
||||
|
||||
```bash
|
||||
docker run -d --name fnmon -p 5000:5000 --privileged \
|
||||
-v /proc:/proc:ro -v /sys:/sys:ro \
|
||||
-v /vol2/fnmon-exports:/var/exports \
|
||||
jinghui1984/fnmon
|
||||
docker run -d --name fnos-resmon -p 7031:7031 --privileged \
|
||||
-v /proc:/host/proc:rw -v /sys:/host/sys:ro \
|
||||
jpccr.ccs.tencentyun.com/jinghui/fnos-resmon:latest
|
||||
```
|
||||
|
||||
启动后浏览器访问 `http://你的NASIP:5000` 即可。
|
||||
启动后浏览器访问 `http://你的NASIP:7031` 即可。
|
||||
|
||||
> **📌 导出目录说明:** `-v /vol2/fnmon-exports:/var/exports` 用于保存导出的历史数据,如不需要可省略。
|
||||
|
||||
### 方式二:Docker Compose
|
||||
|
||||
```yaml
|
||||
version: '3'
|
||||
services:
|
||||
fnmon:
|
||||
image: jinghui1984/fnmon
|
||||
container_name: fnmon
|
||||
restart: always
|
||||
ports:
|
||||
- "5000:5000"
|
||||
privileged: true
|
||||
volumes:
|
||||
- /proc:/proc:ro
|
||||
- /sys:/sys:ro
|
||||
- /vol2/fnmon-exports:/var/exports
|
||||
environment:
|
||||
- TZ=Asia/Shanghai
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🔧 功能详解
|
||||
|
||||
### 数据导出
|
||||
|
||||
点击侧边栏底部的 **⬇️ 导出** 按钮,一键将所有历史数据保存为 JSON 文件到挂载的 NAS 目录。文件名格式:`fnmon-export-YYYY-MM-DD-HHMMSS.json`。
|
||||
|
||||
导出的数据包含:
|
||||
|
||||
| 内容 | 说明 |
|
||||
|------|------|
|
||||
| CPU 实时数据 | 频率、温度、Governor、EPP |
|
||||
| 内存快照 | 已用、缓存、SWAP |
|
||||
| 网络历史 | 60 秒流量队列 |
|
||||
| 磁盘 I/O | 设备读写速率 |
|
||||
| 应用用量 | SQLite 全量数据(日/周/月/年 聚合) |
|
||||
| Docker 流量 | 容器网络存档 |
|
||||
|
||||
通过 ⚙️ **设置** 按钮可自由配置导出路径。
|
||||
|
||||
### 历史数据追踪
|
||||
|
||||
- **网络流量**:累计统计总/日/月 流量,Docker 容器排行
|
||||
- **应用用量**:60 秒采集一次进程 + Docker 资源快照,自动聚合到日/周/月/年维度
|
||||
- **SSE 实时推送**:2 秒间隔推送所有数据,前端自动渲染
|
||||
|
||||
---
|
||||
|
||||
@@ -146,29 +97,8 @@ services:
|
||||
|------|---------|
|
||||
| 后端框架 | Flask (Python) |
|
||||
| 前端 | 纯 HTML/CSS/JS(无额外依赖) |
|
||||
| 实时通信 | Server-Sent Events (SSE) |
|
||||
| 数据采集 | psutil、smartctl、/proc 文件系统 |
|
||||
| 数据存储 | SQLite(应用用量 + 流量审计) |
|
||||
| 容器化 | Docker(基于 python:3.9-slim) |
|
||||
| 镜像大小 | ~342MB |
|
||||
|
||||
---
|
||||
|
||||
## 📋 功能清单
|
||||
|
||||
- [x] CPU 频率 / 核心温度 / Governor / EPP
|
||||
- [x] 内存 / SWAP 实时 & 趋势
|
||||
- [x] 网络流量实时 & 累计(日 / 月 / 总)
|
||||
- [x] Docker 容器流量排行
|
||||
- [x] 磁盘分区使用率 & I/O 趋势
|
||||
- [x] 物理硬盘健康(SMART / NVMe 寿命)
|
||||
- [x] 进程 CPU 占用排行(TOP 20)
|
||||
- [x] 应用用量排行(日/周/月/年)
|
||||
- [x] CPU 评测跑分 & 同级对比
|
||||
- [x] 一键数据导出
|
||||
- [ ] 暗色 / 亮色主题切换
|
||||
- [ ] 微信 / 邮件告警
|
||||
- [ ] 多语言支持
|
||||
| 容器化 | Docker |
|
||||
|
||||
---
|
||||
|
||||
@@ -176,55 +106,14 @@ services:
|
||||
|
||||
| 资源 | 地址 |
|
||||
|------|------|
|
||||
| Docker Hub | `jinghui1984/fnmon` |
|
||||
| GitHub | 本仓库 |
|
||||
| 论坛讨论 | [飞牛论坛](https://club.fnnas.com) |
|
||||
| Docker 镜像 | `jpccr.ccs.tencentyun.com/jinghui/fnos-resmon:latest` |
|
||||
| Gitea 仓库 | https://gitea.88531.cn/jinghui/fnos-resmon |
|
||||
|
||||
欢迎 Issue 和 PR!
|
||||
|
||||
---
|
||||
|
||||
## 🤝 贡献
|
||||
|
||||
欢迎 Issue 和 PR!如果你有好的想法或发现了 Bug,请到 [Issues](https://github.com/personal82555/fnmon/issues) 提出。
|
||||
|
||||
---
|
||||
|
||||
<div align="center">
|
||||
|
||||
---
|
||||
|
||||
## 📦 安装步骤
|
||||
|
||||
1. 下载 FPK:[fnos-resmon-v1.2.1.fpk](http://192.168.68.19:3200/attachments/61f85108-f698-4682-a273-8f9b6ebc7fac)
|
||||
2. 飞牛应用中心 → 本地安装 → 选择 FPK
|
||||
3. 安装完成后打开「飞牛资源管理器」,访问 `http://<NAS IP>:7031`
|
||||
|
||||
或直接拉取镜像:
|
||||
```bash
|
||||
docker pull 192.168.68.19:3200/jinghui/fnos-resmon:latest
|
||||
```
|
||||
|
||||
## fnos-resmon(飞牛资源管理器)
|
||||
|
||||
本仓库另含 fnos-resmon:CPU / 内存 / 磁盘 / 网络 四页签资源监视器,读取宿主真实数据。
|
||||
|
||||
### 功能
|
||||
|
||||
- CPU:进程 CPU 占用、线程数、PID、描述、用户、状态,可按列排序
|
||||
- 内存:RSS / USS / SWAP 三列
|
||||
- 磁盘:进程读写累计
|
||||
- 网络:连接数进程、TCP 连接表、侦听端口表
|
||||
- 内存回收:一键 drop caches
|
||||
- 进程结束:一键 kill
|
||||
- 表头排序方向可视化,内部滚动自适应
|
||||
|
||||
### 下载
|
||||
|
||||
- FPK:`/vol2/1000/HD2/fpk/fnos-resmon-v1.2.0.fpk`
|
||||
- 镜像:`192.168.68.19:3200/jinghui/fnos-resmon:latest`
|
||||
|
||||
### 链接
|
||||
## 🔗 链接
|
||||
|
||||
- 资享导航站:https://nav.88531.cn
|
||||
- 开源地址:http://192.168.68.19:3200/jinghui/fnos-resmon
|
||||
|
||||
</div>
|
||||
- 开源地址:https://gitea.88531.cn/jinghui/fnos-resmon
|
||||
@@ -1,13 +0,0 @@
|
||||
{
|
||||
".url": {
|
||||
"fnos-resmon.Application": {
|
||||
"title": "飞牛资源管理器",
|
||||
"icon": "images/icon_{0}.png",
|
||||
"type": "url",
|
||||
"protocol": "http",
|
||||
"port": "7031",
|
||||
"url": "/",
|
||||
"allUsers": false
|
||||
}
|
||||
}
|
||||
}
|
||||
|
Before Width: | Height: | Size: 4.3 KiB |
|
Before Width: | Height: | Size: 1.1 KiB |
@@ -1,322 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
App Usage Tracker — 进程 + Docker 容器资源用量排行
|
||||
按日/周/月/年/总计 聚合 CPU、内存、网络流量
|
||||
"""
|
||||
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
import sqlite3
|
||||
import subprocess
|
||||
import time
|
||||
from datetime import date, datetime, timedelta
|
||||
|
||||
DB_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'app_usage.db')
|
||||
|
||||
_LAST_SNAPSHOT_TS = 0
|
||||
_SNAPSHOT_INTERVAL = 60 # collect snapshots every 60s
|
||||
|
||||
|
||||
def _get_db():
|
||||
conn = sqlite3.connect(DB_PATH)
|
||||
c = conn.cursor()
|
||||
c.execute('''CREATE TABLE IF NOT EXISTS snapshots (
|
||||
ts INTEGER, app TEXT, cpu_pct REAL, mem_mb REAL,
|
||||
net_rx INTEGER, net_tx INTEGER
|
||||
)''')
|
||||
c.execute('CREATE INDEX IF NOT EXISTS idx_snap_ts ON snapshots(ts)')
|
||||
c.execute('CREATE INDEX IF NOT EXISTS idx_snap_app ON snapshots(app)')
|
||||
c.execute('''CREATE TABLE IF NOT EXISTS daily_rollup (
|
||||
day TEXT, app TEXT, cpu_avg REAL, mem_avg REAL,
|
||||
net_rx INTEGER, net_tx INTEGER,
|
||||
PRIMARY KEY (day, app)
|
||||
)''')
|
||||
c.execute('''CREATE TABLE IF NOT EXISTS weekly_rollup (
|
||||
week TEXT, app TEXT, cpu_avg REAL, mem_avg REAL,
|
||||
net_rx INTEGER, net_tx INTEGER,
|
||||
PRIMARY KEY (week, app)
|
||||
)''')
|
||||
c.execute('''CREATE TABLE IF NOT EXISTS monthly_rollup (
|
||||
month TEXT, app TEXT, cpu_avg REAL, mem_avg REAL,
|
||||
net_rx INTEGER, net_tx INTEGER,
|
||||
PRIMARY KEY (month, app)
|
||||
)''')
|
||||
c.execute('''CREATE TABLE IF NOT EXISTS yearly_rollup (
|
||||
year TEXT, app TEXT, cpu_avg REAL, mem_avg REAL,
|
||||
net_rx INTEGER, net_tx INTEGER,
|
||||
PRIMARY KEY (year, app)
|
||||
)''')
|
||||
conn.commit()
|
||||
return conn
|
||||
|
||||
|
||||
def _get_process_list():
|
||||
"""Get current processes: {comm: {cpu_pct, mem_mb}}"""
|
||||
procs = {}
|
||||
try:
|
||||
result = os.popen("ps -eo comm,pcpu,rss --no-headers 2>/dev/null").read()
|
||||
for line in result.strip().split('\n'):
|
||||
parts = line.strip().split(None, 2)
|
||||
if len(parts) >= 3:
|
||||
name = parts[0]
|
||||
# Normalize names: strip docker prefixes, version suffixes
|
||||
if name.startswith('docker-'):
|
||||
name = name[7:] # strip 'docker-'
|
||||
name = re.sub(r'[-_]\d+$', '', name) # strip trailing numbers
|
||||
name = re.sub(r'[-_](v?\d[\d.]*|arm.*|amd64)$', '', name)
|
||||
|
||||
try:
|
||||
cpu = float(parts[1])
|
||||
except ValueError:
|
||||
cpu = 0
|
||||
try:
|
||||
mem_kb = int(parts[2])
|
||||
except ValueError:
|
||||
mem_kb = 0
|
||||
|
||||
if name not in procs:
|
||||
procs[name] = {'cpu': 0, 'mem': 0}
|
||||
procs[name]['cpu'] += cpu
|
||||
procs[name]['mem'] += mem_kb
|
||||
except Exception:
|
||||
pass
|
||||
# Convert mem from KB to MB
|
||||
for v in procs.values():
|
||||
v['mem'] = round(v['mem'] / 1024, 1)
|
||||
return procs
|
||||
|
||||
|
||||
def _get_docker_traffic():
|
||||
"""Get per-container network: {name: {rx, tx}}"""
|
||||
traffic = {}
|
||||
try:
|
||||
result = subprocess.run(
|
||||
['docker', 'stats', '--no-stream', '--format', '{{.Name}}\t{{.NetIO}}'],
|
||||
capture_output=True, text=True, timeout=15
|
||||
)
|
||||
for line in result.stdout.strip().split('\n'):
|
||||
parts = line.strip().split('\t')
|
||||
if len(parts) < 2:
|
||||
continue
|
||||
name = parts[0]
|
||||
netio = parts[1].strip()
|
||||
rx_str, tx_str = '', ''
|
||||
if ' / ' in netio:
|
||||
rx_str, tx_str = netio.split(' / ', 1)
|
||||
|
||||
def parse(s):
|
||||
s = s.strip().replace(',', '')
|
||||
m = re.match(r'([\d.]+)\s*([a-zA-Z]+)', s)
|
||||
if not m:
|
||||
return 0
|
||||
v = float(m.group(1))
|
||||
u = m.group(2).lower()
|
||||
mul = {'b': 1, 'kb': 1000, 'kib': 1024, 'mb': 1e6,
|
||||
'mib': 1048576, 'gb': 1e9, 'gib': 1073741824}
|
||||
return int(v * mul.get(u, 1))
|
||||
|
||||
traffic[name] = {'rx': parse(rx_str), 'tx': parse(tx_str)}
|
||||
except Exception:
|
||||
pass
|
||||
return traffic
|
||||
|
||||
|
||||
def collect_snapshot():
|
||||
"""Collect and store one snapshot of app usage."""
|
||||
global _LAST_SNAPSHOT_TS
|
||||
now = int(time.time())
|
||||
if now - _LAST_SNAPSHOT_TS < _SNAPSHOT_INTERVAL:
|
||||
return
|
||||
_LAST_SNAPSHOT_TS = now
|
||||
|
||||
procs = _get_process_list()
|
||||
dockers = _get_docker_traffic()
|
||||
|
||||
conn = _get_db()
|
||||
c = conn.cursor()
|
||||
|
||||
# Process CPU + mem
|
||||
for app, data in procs.items():
|
||||
net_rx = dockers.get(app, {}).get('rx', 0)
|
||||
net_tx = dockers.get(app, {}).get('tx', 0)
|
||||
c.execute(
|
||||
'INSERT INTO snapshots VALUES (?,?,?,?,?,?)',
|
||||
(now, app, data['cpu'], data['mem'], net_rx, net_tx)
|
||||
)
|
||||
|
||||
# Docker-only apps (no matching process)
|
||||
for app, data in dockers.items():
|
||||
if app not in procs:
|
||||
c.execute(
|
||||
'INSERT INTO snapshots VALUES (?,?,?,?,?,?)',
|
||||
(now, app, 0, 0, data['rx'], data['tx'])
|
||||
)
|
||||
|
||||
conn.commit()
|
||||
|
||||
# Cleanup old snapshots (keep last 7 days of raw data)
|
||||
c.execute('DELETE FROM snapshots WHERE ts < ?', (now - 7 * 86400,))
|
||||
conn.commit()
|
||||
conn.close()
|
||||
|
||||
# Roll up daily/weekly/monthly/yearly
|
||||
_rollup_all()
|
||||
|
||||
|
||||
def _rollup_all():
|
||||
"""Roll up snapshots into daily/weekly/monthly/yearly aggregates."""
|
||||
conn = _get_db()
|
||||
c = conn.cursor()
|
||||
now = datetime.now()
|
||||
today = now.strftime('%Y-%m-%d')
|
||||
this_week = now.strftime('%G-W%V') # ISO week
|
||||
this_month = now.strftime('%Y-%m')
|
||||
this_year = now.strftime('%Y')
|
||||
|
||||
periods = [
|
||||
('daily_rollup', 'day', today),
|
||||
('weekly_rollup', 'week', this_week),
|
||||
('monthly_rollup', 'month', this_month),
|
||||
('yearly_rollup', 'year', this_year),
|
||||
]
|
||||
|
||||
for table, col, period_val in periods:
|
||||
# Aggregate from snapshots (last 24h for daily, etc.)
|
||||
cutoff = int(time.time()) - 86400 # last 24h for all rollups
|
||||
c.execute(f'''
|
||||
INSERT OR REPLACE INTO {table} ({col}, app, cpu_avg, mem_avg, net_rx, net_tx)
|
||||
SELECT ?, app,
|
||||
ROUND(AVG(cpu_pct), 1), ROUND(AVG(mem_mb), 1),
|
||||
MAX(net_rx), MAX(net_tx)
|
||||
FROM snapshots
|
||||
WHERE ts >= ?
|
||||
GROUP BY app
|
||||
ORDER BY AVG(cpu_pct) DESC
|
||||
''', (period_val, cutoff))
|
||||
conn.commit()
|
||||
conn.close()
|
||||
|
||||
|
||||
def get_app_ranking(period='total', metric='cpu', limit=15):
|
||||
"""
|
||||
Get app usage ranking.
|
||||
period: 'day', 'week', 'month', 'year', 'total'
|
||||
metric: 'cpu', 'mem', 'net'
|
||||
"""
|
||||
now = datetime.now()
|
||||
today = now.strftime('%Y-%m-%d')
|
||||
this_week = now.strftime('%G-W%V')
|
||||
this_month = now.strftime('%Y-%m')
|
||||
this_year = now.strftime('%Y')
|
||||
|
||||
conn = _get_db()
|
||||
c = conn.cursor()
|
||||
|
||||
if period == 'day':
|
||||
table = 'daily_rollup'
|
||||
col = 'day'
|
||||
val = today
|
||||
elif period == 'week':
|
||||
table = 'weekly_rollup'
|
||||
col = 'week'
|
||||
val = this_week
|
||||
elif period == 'month':
|
||||
table = 'monthly_rollup'
|
||||
col = 'month'
|
||||
val = this_month
|
||||
elif period == 'year':
|
||||
table = 'yearly_rollup'
|
||||
col = 'year'
|
||||
val = this_year
|
||||
else: # total - from snapshots aggregate all time
|
||||
table = 'snapshots'
|
||||
col = None
|
||||
val = None
|
||||
|
||||
if metric == 'cpu':
|
||||
order_col = 'cpu_avg'
|
||||
elif metric == 'mem':
|
||||
order_col = 'mem_avg'
|
||||
else: # net
|
||||
order_col = '(net_rx + net_tx)'
|
||||
|
||||
if period == 'total':
|
||||
c.execute(f'''
|
||||
SELECT app,
|
||||
ROUND(AVG(cpu_pct), 1) as cpu_avg,
|
||||
ROUND(AVG(mem_mb), 1) as mem_avg,
|
||||
MAX(net_rx) as net_rx,
|
||||
MAX(net_tx) as net_tx
|
||||
FROM snapshots
|
||||
GROUP BY app
|
||||
ORDER BY {order_col} DESC
|
||||
LIMIT ?
|
||||
''', (limit,))
|
||||
else:
|
||||
c.execute(f'''
|
||||
SELECT app, cpu_avg, mem_avg, net_rx, net_tx
|
||||
FROM {table}
|
||||
WHERE {col} = ?
|
||||
ORDER BY {order_col} DESC
|
||||
LIMIT ?
|
||||
''', (val, limit))
|
||||
|
||||
rows = c.fetchall()
|
||||
conn.close()
|
||||
|
||||
result = []
|
||||
for row in rows:
|
||||
app, cpu, mem, rx, tx = row
|
||||
result.append({
|
||||
'app': app,
|
||||
'cpu': cpu or 0,
|
||||
'mem': mem or 0,
|
||||
'net_rx': rx or 0,
|
||||
'net_tx': tx or 0,
|
||||
'net_total': (rx or 0) + (tx or 0),
|
||||
})
|
||||
return result
|
||||
|
||||
|
||||
def get_combined_ranking(period='total', limit=15):
|
||||
"""Combined ranking: weighted score across CPU + mem + net."""
|
||||
apps = {}
|
||||
periods = ['day', 'week', 'month', 'year', 'total']
|
||||
target = period if period != 'total' else 'total'
|
||||
|
||||
for metric in ['cpu', 'mem', 'net']:
|
||||
ranking = get_app_ranking(target, metric, limit=50)
|
||||
total_score = max((r.get('cpu', 0) if metric == 'cpu' else
|
||||
r.get('mem', 0) if metric == 'mem' else
|
||||
r.get('net_total', 0)) for r in ranking) if ranking else 1
|
||||
if total_score == 0:
|
||||
total_score = 1
|
||||
for r in ranking:
|
||||
app = r['app']
|
||||
if app not in apps:
|
||||
apps[app] = {'app': app, 'cpu': 0, 'mem': 0, 'net_rx': 0, 'net_tx': 0, 'net_total': 0, 'score': 0}
|
||||
apps[app]['cpu'] = max(apps[app]['cpu'], r.get('cpu', 0))
|
||||
apps[app]['mem'] = max(apps[app]['mem'], r.get('mem', 0))
|
||||
apps[app]['net_rx'] = max(apps[app]['net_rx'], r.get('net_rx', 0))
|
||||
apps[app]['net_tx'] = max(apps[app]['net_tx'], r.get('net_tx', 0))
|
||||
apps[app]['net_total'] = max(apps[app]['net_total'], r.get('net_total', 0))
|
||||
# Weighted score
|
||||
val = (r.get('cpu', 0) if metric == 'cpu' else
|
||||
r.get('mem', 0) if metric == 'mem' else
|
||||
r.get('net_total', 0))
|
||||
apps[app]['score'] += val / total_score
|
||||
|
||||
# Sort by score
|
||||
result = sorted(apps.values(), key=lambda x: x['score'], reverse=True)[:limit]
|
||||
return result
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
collect_snapshot()
|
||||
print("=== CPU Ranking (total) ===")
|
||||
for r in get_app_ranking('total', 'cpu', 10):
|
||||
print(f" {r['app']:30s} CPU:{r['cpu']:6.1f}% MEM:{r['mem']:8.1f}MB")
|
||||
print("\n=== Combined Ranking ===")
|
||||
for r in get_combined_ranking('total', 10):
|
||||
print(f" {r['app']:30s} score:{r['score']:5.2f} CPU:{r['cpu']:5.1f}% MEM:{r['mem']:7.1f}MB net:{r['net_total']}")
|
||||
@@ -0,0 +1,8 @@
|
||||
飞牛资源管理器:一眼看穿NAS谁在偷吃资源
|
||||
你的飞牛NAS卡顿、内存飙升,系统自带却只能看汇总数字,根本找不到元凶。飞牛资源管理器,一个Docker命令就能装好,进程级监控一目了然。
|
||||
CPU、内存、磁盘、网络四大面板实时刷新,每个进程的CPU和内存占用清清楚楚。
|
||||
内存面板还能看RSS、USS、SWAP明细,一键回收未使用的内存,释放空间立竿见影。
|
||||
磁盘面板直接显示SMART健康、温度、通电时间,硬盘故障提前预警。
|
||||
网络面板列出所有TCP连接和侦听端口,哪个进程在联网一目了然。
|
||||
表头点击排序,手机也能看,Docker运行不修改系统文件。开源免费,欢迎Star。
|
||||
收藏这个视频,下次NAS卡顿时就知道该查哪里。
|
||||
@@ -1,5 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
### This script is called after the user change environment variables in application setting page.
|
||||
|
||||
exit 0
|
||||
@@ -1,5 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
### This script is called before the user change environment variables in application setting page.
|
||||
|
||||
exit 0
|
||||
@@ -1,5 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
### This script is called after the user installs the application.
|
||||
|
||||
exit 0
|
||||
@@ -1,5 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
### This script is called before the user installs the application.
|
||||
|
||||
exit 0
|
||||
@@ -1,42 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
FILE_PATH="${TRIM_APPDEST}/docker/docker-compose.yaml"
|
||||
|
||||
is_docker_running () {
|
||||
DOCKER_NAME=""
|
||||
|
||||
if [ -f "$FILE_PATH" ]; then
|
||||
DOCKER_NAME=$(cat $FILE_PATH | grep "container_name" | awk -F ':' '{print $2}' | xargs)
|
||||
echo "DOCKER_NAME is set to: $DOCKER_NAME"
|
||||
fi
|
||||
|
||||
if [ -n "$DOCKER_NAME" ]; then
|
||||
docker inspect $DOCKER_NAME | grep -q "\"Status\": \"running\"," || exit 1
|
||||
return
|
||||
fi
|
||||
}
|
||||
|
||||
case $1 in
|
||||
start)
|
||||
# run start command. exit 0 if success, exit 1 if failed
|
||||
# do nothing, docker application will be started by appcenter
|
||||
exit 0
|
||||
;;
|
||||
stop)
|
||||
# run stop command. exit 0 if success, exit 1 if failed
|
||||
# do nothing, docker application will be stopped by appcenter
|
||||
exit 0
|
||||
;;
|
||||
status)
|
||||
# check application status command. exit 0 if running, exit 3 if not running
|
||||
# check first container by default, you cound modify it by yourself
|
||||
if is_docker_running; then
|
||||
exit 0
|
||||
else
|
||||
exit 3
|
||||
fi
|
||||
;;
|
||||
*)
|
||||
exit 1
|
||||
;;
|
||||
esac
|
||||
@@ -1,5 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
### This script is called after the user uninstalls the application.
|
||||
|
||||
exit 0
|
||||
@@ -1,5 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
### This script is called after the user uninstalls the application.
|
||||
|
||||
exit 0
|
||||
@@ -1,5 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
### This script is called after the user upgrades the application.
|
||||
|
||||
exit 0
|
||||
@@ -1,5 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
### This script is called before the user upgrades the application.
|
||||
|
||||
exit 0
|
||||
@@ -1,5 +0,0 @@
|
||||
{
|
||||
"network": ["host"],
|
||||
"pid": ["host"],
|
||||
"volumes": ["/proc", "/sys", "/etc/passwd", "/"]
|
||||
}
|
||||
@@ -1 +0,0 @@
|
||||
{}
|
||||
@@ -1,14 +0,0 @@
|
||||
1|location ^~/apps/fnmon/ {
|
||||
2| proxy_pass http://127.0.0.1:5000/;
|
||||
3| proxy_http_version 1.1;
|
||||
4| proxy_set_header Host $host;
|
||||
5| proxy_set_header X-Real-IP $remote_addr;
|
||||
6| proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
|
||||
7| proxy_read_timeout 86400;
|
||||
8| proxy_buffering off;
|
||||
9|
|
||||
10| # SSE support
|
||||
11| proxy_set_header Connection '';
|
||||
12| chunked_transfer_encoding on;
|
||||
13|}
|
||||
14|
|
||||
@@ -1,6 +1,6 @@
|
||||
services:
|
||||
fnos-resmon:
|
||||
image: 192.168.68.19:3200/jinghui/fnos-resmon:latest
|
||||
image: jpccr.ccs.tencentyun.com/jinghui/fnos-resmon:latest
|
||||
container_name: fnos-resmon
|
||||
network_mode: host
|
||||
pid: host
|
||||
@@ -12,5 +12,3 @@ services:
|
||||
volumes:
|
||||
- /proc:/host/proc:rw
|
||||
- /sys:/host/sys:ro
|
||||
- /etc/passwd:/host/etc/passwd:ro
|
||||
- /:/host:ro
|
||||
|
After Width: | Height: | Size: 279 KiB |
|
After Width: | Height: | Size: 308 KiB |
|
After Width: | Height: | Size: 319 KiB |
|
After Width: | Height: | Size: 280 KiB |
@@ -1,196 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Generate a self-contained fpk for distribution — includes app code + static assets."""
|
||||
|
||||
import os, re, struct, zlib, tarfile, io, json, hashlib, time as tmod
|
||||
|
||||
OUTDIR = '/vol2/1000/HD2/fpk'
|
||||
APP_NAME = 'fnmon'
|
||||
APP_DIR = os.path.dirname(os.path.abspath(__file__))
|
||||
os.makedirs(OUTDIR, exist_ok=True)
|
||||
|
||||
# === Auto-version ===
|
||||
latest_ver = '0.0.0'
|
||||
# Also account for legacy cpu-monitor-v* fpks
|
||||
for f in os.listdir(OUTDIR):
|
||||
m = re.match(r'(?:fnmon|cpu-monitor)-v(\d+\.\d+\.\d+)\.fpk', f)
|
||||
if m:
|
||||
v = tuple(int(x) for x in m.group(1).split('.'))
|
||||
if v > tuple(int(x) for x in latest_ver.split('.')):
|
||||
latest_ver = m.group(1)
|
||||
v_parts = [int(x) for x in latest_ver.split('.')]
|
||||
v_parts[2] += 1
|
||||
NEW_VER = '.'.join(str(x) for x in v_parts)
|
||||
OUTPATH = f'{OUTDIR}/fnmon-v{NEW_VER}.fpk'
|
||||
|
||||
now_ts = int(tmod.time())
|
||||
|
||||
|
||||
def add_file(tar, path, content=None, filepath=None, mode=0o644):
|
||||
"""Add a file to the tar archive."""
|
||||
info = tarfile.TarInfo(name=f'{APP_NAME}/{path}')
|
||||
if filepath:
|
||||
with open(filepath, 'rb') as f:
|
||||
data = f.read()
|
||||
elif isinstance(content, bytes):
|
||||
data = content
|
||||
else:
|
||||
data = content.encode('utf-8')
|
||||
info.size = len(data)
|
||||
info.mode = mode
|
||||
info.mtime = now_ts
|
||||
info.uid = info.gid = 0
|
||||
info.uname = 'root'
|
||||
info.gname = 'root'
|
||||
tar.addfile(info, io.BytesIO(data))
|
||||
|
||||
|
||||
# === Build manifest ===
|
||||
manifest_content = f'''appname = {APP_NAME}
|
||||
version = {NEW_VER}
|
||||
display_name = fnmon - 系统监视器
|
||||
desc = 实时系统监控面板 - CPU/内存/网络/磁盘/进程 全能监控
|
||||
platform = all
|
||||
source = thirdparty
|
||||
maintainer = Hermes
|
||||
maintainer_url = https://github.com/nousresearch/hermes-agent
|
||||
distributor = Community
|
||||
os_min_version = 0.8.1
|
||||
desktop_uidir = ui
|
||||
desktop_applaunchname = {APP_NAME}.Application
|
||||
service_port = 5000
|
||||
checkport = true
|
||||
ctl_stop = true
|
||||
'''
|
||||
manifest_checksum = hashlib.md5(manifest_content.encode('utf-8')).hexdigest()
|
||||
manifest_full = manifest_content + f'checksum = {manifest_checksum}\n'
|
||||
|
||||
# === Build tar ===
|
||||
with tarfile.open(OUTPATH, 'w:gz') as tar:
|
||||
add_file(tar, 'manifest', manifest_full)
|
||||
|
||||
# Config
|
||||
add_file(tar, 'config/privilege', json.dumps({
|
||||
'defaults': {'run-as': 'root'},
|
||||
}, indent=2))
|
||||
add_file(tar, 'config/resource', '{\n "systemd-unit": {}\n}\n')
|
||||
|
||||
# Lifecycle scripts
|
||||
scripts = {
|
||||
'install_init': '#!/bin/bash\nexit 0\n',
|
||||
'install_callback': f'''#!/bin/bash
|
||||
# Create and enable systemd service
|
||||
cat > /etc/systemd/system/{APP_NAME}.service << 'SERVEOF'
|
||||
[Unit]
|
||||
Description=fnmon - 系统监视器
|
||||
After=network.target
|
||||
|
||||
[Service]
|
||||
Type=simple
|
||||
User=root
|
||||
WorkingDirectory=/var/apps/{APP_NAME}
|
||||
ExecStart=/usr/bin/python3 /var/apps/{APP_NAME}/app.py
|
||||
Restart=always
|
||||
RestartSec=5
|
||||
|
||||
[Install]
|
||||
WantedBy=multi-user.target
|
||||
SERVEOF
|
||||
systemctl daemon-reload
|
||||
systemctl enable {APP_NAME}.service
|
||||
systemctl start {APP_NAME}.service
|
||||
exit 0
|
||||
''',
|
||||
'uninstall_init': f'#!/bin/bash\nsystemctl stop {APP_NAME}.service 2>/dev/null\nexit 0\n',
|
||||
'uninstall_callback': f'''#!/bin/bash
|
||||
systemctl disable {APP_NAME}.service 2>/dev/null
|
||||
rm -f /etc/systemd/system/{APP_NAME}.service
|
||||
systemctl daemon-reload
|
||||
exit 0
|
||||
''',
|
||||
'upgrade_init': '#!/bin/bash\nexit 0\n',
|
||||
'upgrade_callback': f'#!/bin/bash\nsystemctl restart {APP_NAME}.service 2>/dev/null\nexit 0\n',
|
||||
'config_init': '#!/bin/bash\nexit 0\n',
|
||||
'config_callback': '#!/bin/bash\nexit 0\n',
|
||||
}
|
||||
for name, content in scripts.items():
|
||||
add_file(tar, f'cmd/{name}', content, mode=0o755)
|
||||
|
||||
# Main lifecycle
|
||||
add_file(tar, 'cmd/main', f'''#!/bin/bash
|
||||
case $1 in
|
||||
start)
|
||||
systemctl start {APP_NAME}.service 2>/dev/null
|
||||
sleep 2
|
||||
curl -s -o /dev/null http://localhost:5000 && exit 0
|
||||
exit 1
|
||||
;;
|
||||
stop) exit 0 ;;
|
||||
status)
|
||||
curl -s -o /dev/null http://localhost:5000 && exit 0 || exit 3
|
||||
;;
|
||||
*) exit 1 ;;
|
||||
esac
|
||||
''', mode=0o755)
|
||||
|
||||
# === Bundle app code ===
|
||||
add_file(tar, 'app.py', filepath=os.path.join(APP_DIR, 'app.py'), mode=0o755)
|
||||
add_file(tar, 'traffic_tracker.py', filepath=os.path.join(APP_DIR, 'traffic_tracker.py'), mode=0o644)
|
||||
add_file(tar, 'app_usage_tracker.py', filepath=os.path.join(APP_DIR, 'app_usage_tracker.py'), mode=0o644)
|
||||
add_file(tar, 'static/index.html', filepath=os.path.join(APP_DIR, 'static/index.html'), mode=0o644)
|
||||
|
||||
# UI config
|
||||
add_file(tar, 'ui/index.json', json.dumps({
|
||||
APP_NAME: {
|
||||
'application': {
|
||||
'type': 'url',
|
||||
'protocol': 'http',
|
||||
'port': 5000,
|
||||
'url': 'http://${host}:5000',
|
||||
'title': 'fnmon - 系统监视器',
|
||||
'description': '实时系统监控面板'
|
||||
}
|
||||
}
|
||||
}, ensure_ascii=False, indent=2))
|
||||
|
||||
# Icons
|
||||
for fname, fpk_name in [(f'{APP_NAME}-icon-128.png', 'ICON.PNG'),
|
||||
(f'{APP_NAME}-icon-256.png', 'ICON_256.PNG')]:
|
||||
ipath = os.path.join(OUTDIR, fname)
|
||||
if os.path.exists(ipath):
|
||||
add_file(tar, fpk_name, filepath=ipath)
|
||||
else:
|
||||
# Fallback: simple blue icon
|
||||
add_file(tar, fpk_name, _gen_png(128 if '128' in fname else 256, (80, 120, 255)))
|
||||
|
||||
# === Done ===
|
||||
size = os.path.getsize(OUTPATH)
|
||||
print(f'✅ fpk created: {OUTPATH} ({size} bytes)')
|
||||
print(f' version: v{NEW_VER} (previous: v{latest_ver})')
|
||||
print(f' checksum: {manifest_checksum}')
|
||||
print(f' bundled: app.py + frontend + trackers')
|
||||
|
||||
with tarfile.open(OUTPATH) as t:
|
||||
for m in t.getmembers():
|
||||
print(f' {m.name}: {m.size}B')
|
||||
|
||||
|
||||
def _gen_png(size, color):
|
||||
"""Quick PNG generator (fallback if no icon)."""
|
||||
r, g, b = color
|
||||
def chunk(ctype, data):
|
||||
c = ctype + data
|
||||
return struct.pack('>I', len(data)) + c + struct.pack('>I', zlib.crc32(c) & 0xffffffff)
|
||||
hdr = b'\x89PNG\r\n\x1a\n'
|
||||
ihdr = chunk(b'IHDR', struct.pack('>IIBBBBB', size, size, 8, 2, 0, 0, 0))
|
||||
raw = b''
|
||||
for y in range(size):
|
||||
raw += b'\x00'
|
||||
for x in range(size):
|
||||
d = ((x-size/2)**2 + (y-size/2)**2) ** 0.5
|
||||
rad = size/2 - 4
|
||||
if d < rad:
|
||||
t = d / rad
|
||||
raw += struct.pack('BBB', int(r-(r-50)*t), int(g-(g-100)*t), int(b-(b-200)*t))
|
||||
else:
|
||||
raw += b'\x00\x00\x00'
|
||||
return hdr + ihdr + chunk(b'IDAT', zlib.compress(raw)) + chunk(b'IEND', b'')
|
||||
@@ -1,83 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Generate a system-monitoring-themed icon for the fnmon fpk."""
|
||||
|
||||
from PIL import Image, ImageDraw, ImageFont
|
||||
import math
|
||||
|
||||
SIZE = 256
|
||||
OUT = '/vol2/1000/HD2/fpk/fnmon-icon.png'
|
||||
|
||||
draw_icon = ImageDraw.Draw(Image.new('RGBA', (SIZE, SIZE), (0, 0, 0, 0)))
|
||||
img = Image.new('RGBA', (SIZE, SIZE), (0, 0, 0, 0))
|
||||
draw = ImageDraw.Draw(img)
|
||||
|
||||
# Colors
|
||||
BG_DARK = (16, 22, 36)
|
||||
ACCENT = (56, 189, 248)
|
||||
GREEN = (74, 222, 128)
|
||||
YELLOW = (251, 191, 36)
|
||||
RED = (248, 113, 113)
|
||||
WHITE = (230, 240, 255)
|
||||
CARD = (30, 41, 59)
|
||||
|
||||
cx, cy = SIZE//2, SIZE//2
|
||||
r = SIZE//2 - 16
|
||||
|
||||
# Rounded square background
|
||||
draw.rounded_rectangle([4, 4, SIZE-5, SIZE-5], radius=28, fill=BG_DARK)
|
||||
|
||||
# -- Gauge arc --
|
||||
arc_r = r - 10
|
||||
for deg in range(60, 241):
|
||||
rad = math.radians(deg)
|
||||
x1 = cx + int((arc_r-2) * math.cos(rad))
|
||||
y1 = cy + int((arc_r-2) * math.sin(rad))
|
||||
x2 = cx + int(arc_r * math.cos(rad))
|
||||
y2 = cy + int(arc_r * math.sin(rad))
|
||||
# green 60-120, yellow 120-180, red 180-240
|
||||
if deg < 120:
|
||||
c = GREEN
|
||||
elif deg < 180:
|
||||
c = YELLOW
|
||||
else:
|
||||
c = RED
|
||||
draw.line([(x1, y1), (x2, y2)], fill=c, width=4)
|
||||
|
||||
# Gauge needle at ~80°
|
||||
needle_deg = 100
|
||||
rad = math.radians(needle_deg)
|
||||
nx = cx + int(arc_r * 0.7 * math.cos(rad))
|
||||
ny = cy + int(arc_r * 0.7 * math.sin(rad))
|
||||
draw.line([(cx, cy), (nx, ny)], fill=WHITE, width=3)
|
||||
draw.ellipse([cx-5, cy-5, cx+5, cy+5], fill=ACCENT)
|
||||
|
||||
# -- Bar chart bars at bottom left --
|
||||
bar_x, bar_y = cx - arc_r + 5, cy + 8
|
||||
bar_w, bar_h = 8, 30
|
||||
for i, (h, c) in enumerate([(24, GREEN), (16, YELLOW), (24, ACCENT)]):
|
||||
bx = bar_x + i * (bar_w + 4)
|
||||
draw.rectangle([bx, bar_y + bar_h - h, bx + bar_w, bar_y + bar_h], fill=c, width=0)
|
||||
|
||||
# -- Small CPU chip top-left --
|
||||
chip_x, chip_y = cx - arc_r + 5, cy - arc_r + 5
|
||||
draw.rounded_rectangle([chip_x, chip_y, chip_x+24, chip_y+24], radius=3, fill=ACCENT)
|
||||
draw.rectangle([chip_x+4, chip_y+4, chip_x+20, chip_y+20], fill=(20, 40, 60))
|
||||
# Dot
|
||||
draw.rectangle([chip_x+10, chip_y+9, chip_x+14, chip_y+15], fill=(30, 80, 120))
|
||||
|
||||
# -- Signal dots (network) top right --
|
||||
sig_x, sig_y = cx + arc_r - 20, cy - arc_r + 5
|
||||
for i in range(3):
|
||||
sh = 6 + i * 5
|
||||
draw.rectangle([sig_x + i * 5, sig_y + 16 - sh, sig_x + i * 5 + 3, sig_y + 16], fill=ACCENT if i < 2 else (100, 150, 200))
|
||||
|
||||
# Resize for 128
|
||||
img_128 = img.resize((128, 128), Image.LANCZOS if hasattr(Image, 'LANCZOS') else Image.ANTIALIAS)
|
||||
img.save(OUT)
|
||||
img_128.save('/vol2/1000/HD2/fpk/fnmon-icon-128.png')
|
||||
print(f'✅ 256x256 saved: {OUT}')
|
||||
print(f'✅ 128x128 saved: /vol2/1000/HD2/fpk/fnmon-icon-128.png')
|
||||
|
||||
# Also save 256 copy
|
||||
img.save('/vol2/1000/HD2/fpk/fnmon-icon-256.png')
|
||||
print(f'✅ 256x256 saved: /vol2/1000/HD2/fpk/fnmon-icon-256.png')
|
||||
@@ -0,0 +1 @@
|
||||
{"arrays":[{"devices":["sdc3"],"level":"raid1","lvm":"trim_43d5e563_4991_48af_89f2_514933c40b28-0","md":"md0","members":"1/1","mount":"/vol1","note":"单成员 RAID1,无冗余"},{"devices":["sda1"],"level":"raid1","lvm":"trim_3f9de466_c96d_406a_a13b_9a3d4bab6b42","md":"md1","members":"1/1","mount":"/vol3","note":"单成员 RAID1,无冗余"},{"devices":["sdb1"],"level":"raid1","lvm":"trim_a03ba591_eb54_4c55_a112_00d2903bd71c-0","md":"md3","members":"1/1","mount":"/vol2","note":"单成员 RAID1,无冗余"}],"disks":[{"cap_b":1024209543168,"form":"2.5英寸","health":"PASSED","hours":18878,"iface":"SATA 6Gb/s","model":"QUANXING S101 1TB","name":"sda","power_cycles":452,"realloc":0,"serial":"AD20221216A0101609","temp_c":40,"type":"SSD","wear":0},{"cap_b":12000138625024,"form":"3.5英寸","health":"PASSED","helium":100,"hours":4396,"iface":"SATA 6Gb/s","model":"WDC WD120EDGZ-11B1PA1","model_family":"Western Digital Ultrastar (He10/12)","name":"sdb","power_cycles":237,"realloc":0,"rpm":7200,"serial":"9MJB45YT","temp_c":37,"type":"HDD 氦气盘"},{"cap_b":512110190592,"form":"2.5英寸","health":"PASSED","hours":16661,"iface":"SATA 6Gb/s","model":"QUANXING S101 512G","name":"sdc","power_cycles":735,"realloc":0,"serial":"AC20221216A0100212","temp_c":40,"type":"SSD","wear":0}],"extra":{"mount":"/","note":"系统盘直挂分区,无 RAID/LVM","part":"sdc2"},"note":"SMART 为构建时快照,温度/通电时间随时间漂移;容量/型号/序列号为静态","snapshot":"2026-11-06"}
|
||||
@@ -0,0 +1,42 @@
|
||||
{
|
||||
"dimms": [
|
||||
{
|
||||
"locator": "DIMM 0",
|
||||
"bank": "P0 CHANNEL A",
|
||||
"size_b": 8589934592,
|
||||
"size_mb": 8192,
|
||||
"type": "DDR4",
|
||||
"speed": 0,
|
||||
"cspeed": 2400,
|
||||
"maker": "A-DATA Technology",
|
||||
"serial": "3E8A0000",
|
||||
"part": ""
|
||||
},
|
||||
{
|
||||
"locator": "DIMM 0",
|
||||
"bank": "P0 CHANNEL B",
|
||||
"size_b": 17179869184,
|
||||
"size_mb": 16384,
|
||||
"type": "DDR4",
|
||||
"speed": 0,
|
||||
"cspeed": 2400,
|
||||
"maker": "Unknown",
|
||||
"serial": "22522642",
|
||||
"part": "QXD016GD4U266600"
|
||||
},
|
||||
{
|
||||
"locator": "DIMM 1",
|
||||
"bank": "P0 CHANNEL B",
|
||||
"size_b": 17179869184,
|
||||
"size_mb": 16384,
|
||||
"type": "DDR4",
|
||||
"speed": 0,
|
||||
"cspeed": 2400,
|
||||
"maker": "Unknown",
|
||||
"serial": "62805591",
|
||||
"part": "EAGET-16GB-3200"
|
||||
}
|
||||
],
|
||||
"installed": 42949672960,
|
||||
"max_cap_b": 137438953472
|
||||
}
|
||||
@@ -0,0 +1 @@
|
||||
{"dns":"192.168.68.1","gateway":"192.168.68.1","nics":[{"driver":"r8169","model":"Realtek RTL8125 2.5GbE","name":"enp42s0","pci":"10EC:8125","role":"有线主网口(已接入 OVS,IP 挂在 enp42s0-ovs 上)"},{"driver":"mt7921e","model":"MEDIATEK MT7921K Wi-Fi 6E","name":"wlp41s0","pci":"14C3:0608","role":"无线备用(DHCP,metric 600)","ssid":"css_5G"},{"model":"EasyTier VPN 虚拟网卡","name":"tun0","role":"组网隧道"},{"model":"OVS 内部端口(与 enp42s0 同 MAC)","name":"enp42s0-ovs","role":"宿主实际出口 IP 承载口"},{"model":"Open vSwitch 数据通道","name":"ovs-system","role":"OVS datapath(DOWN 属正常)"}],"note":"型号/驱动/网关/DNS 为构建时快照;地址/状态/速率/流量为实时读取","snapshot":"2026-11-06"}
|
||||
@@ -1,7 +0,0 @@
|
||||
appname: fnos-resmon
|
||||
version: 1.2.1
|
||||
display_name: 飞牛资源管理器
|
||||
desc: 飞牛 NAS 资源监视器(CPU/内存/磁盘/网络四页签,读取宿主真实数据)
|
||||
arch: x86_64
|
||||
source: docker
|
||||
maintainer: jinghui
|
||||
@@ -0,0 +1,81 @@
|
||||
<h1>飞牛NAS必装:进程级资源监控,比自带强10倍</h1>
|
||||
<blockquote>
|
||||
<p>飞牛 NAS 专属的轻量级系统资源监控面板 —— 一个 Docker 命令即可拥有媲美专业 NAS 监控的 Web 界面。</p>
|
||||
</blockquote>
|
||||
<p>你家飞牛 NAS 卡顿、内存飙升,却只能看到系统自带的一个百分比数字?哪个进程在吃 CPU?哪块盘快坏了?哪个端口被谁占用了?一键能回收内存吗?这些飞牛自带都做不到。</p>
|
||||
<p><strong>飞牛资源管理器(fnos-resmon)</strong> 正好补上这些短板:CPU / 内存 / 磁盘 / 网络四大面板,进程级明细,一条 docker 命令启动。</p>
|
||||
<h2>一句话说清优势</h2>
|
||||
<table>
|
||||
<thead>
|
||||
<tr>
|
||||
<th>能力</th>
|
||||
<th>飞牛自带</th>
|
||||
<th>fnos-resmon</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr>
|
||||
<td>CPU/内存占用率</td>
|
||||
<td>✅ 有</td>
|
||||
<td>✅ 有</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>进程级 CPU/内存排行</td>
|
||||
<td>❌ 无</td>
|
||||
<td>✅ 进程名/PID/用户/状态/线程数</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>内存 RSS/USS/SWAP 明细</td>
|
||||
<td>❌ 无</td>
|
||||
<td>✅ 三列细分</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>一键内存回收</td>
|
||||
<td>❌ 无</td>
|
||||
<td>✅ 🧹 一键回收未使用的内存</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>一键结束异常进程</td>
|
||||
<td>❌ 无</td>
|
||||
<td>✅ 一键 kill</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>磁盘 SMART/温度/通电时间</td>
|
||||
<td>❌ 需命令行</td>
|
||||
<td>✅ Web 直观展示</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>TCP 连接明细/侦听端口</td>
|
||||
<td>❌ 无</td>
|
||||
<td>✅ 进程+地址+状态</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>网卡驱动/MTU/双工</td>
|
||||
<td>❌ 无</td>
|
||||
<td>✅ 有</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
<h2>CPU 面板:谁在偷吃一眼看清</h2>
|
||||
<p>CPU 型号、架构、物理/逻辑核数一目了然,进程级 CPU 排行实时刷新,点表头即排序。</p>
|
||||
<p><img alt="CPU面板" src="http://img.88531.cn/i/2026/11/07/6aee0007e9bf2.png" /></p>
|
||||
<h2>内存面板:一键回收释放空间</h2>
|
||||
<p>每个进程 RSS/USS/SWAP 三列细分,🧹 一键回收未使用的内存,异常进程一键结束。</p>
|
||||
<p><img alt="内存面板" src="http://img.88531.cn/i/2026/11/07/6aee000887b6a.png" /></p>
|
||||
<h2>磁盘面板:硬盘健康提前预警</h2>
|
||||
<p>SMART 健康、温度、通电时间 Web 直观展示,硬盘故障提前发现。</p>
|
||||
<p><img alt="磁盘面板" src="http://img.88531.cn/i/2026/11/07/6aee000936412.png" /></p>
|
||||
<h2>网络面板:谁在联网一目了然</h2>
|
||||
<p>所有 TCP 连接和侦听端口明细,进程+地址+状态,网卡驱动/MTU/双工全展示。</p>
|
||||
<p><img alt="网络面板" src="http://img.88531.cn/i/2026/11/07/6aee0009c4d5e.png" /></p>
|
||||
<h2>一条命令安装</h2>
|
||||
<pre><code class="language-bash">docker run -d --name fnos-resmon --privileged --network host --pid host \
|
||||
-v /proc:/host/proc:rw -v /sys:/host/sys:ro \
|
||||
-e PORT=7031 -e PROCFS_PATH=/host/proc \
|
||||
192.168.68.19:3200/jinghui/fnos-resmon:latest
|
||||
</code></pre>
|
||||
<p>浏览器打开 <code>http://NAS-IP:7031</code> 即可使用,手机也能看。</p>
|
||||
<ul>
|
||||
<li>开源地址:https://gitea.88531.cn/jinghui/fnos-resmon</li>
|
||||
<li>3 秒自动刷新,零侵入,Docker 运行不修改系统文件</li>
|
||||
</ul>
|
||||
@@ -0,0 +1,58 @@
|
||||
# 飞牛NAS必装:进程级资源监控,比自带强10倍
|
||||
|
||||
> 飞牛 NAS 专属的轻量级系统资源监控面板 —— 一个 Docker 命令即可拥有媲美专业 NAS 监控的 Web 界面。
|
||||
|
||||
你家飞牛 NAS 卡顿、内存飙升,却只能看到系统自带的一个百分比数字?哪个进程在吃 CPU?哪块盘快坏了?哪个端口被谁占用了?一键能回收内存吗?这些飞牛自带都做不到。
|
||||
|
||||
**飞牛资源管理器(fnos-resmon)** 正好补上这些短板:CPU / 内存 / 磁盘 / 网络四大面板,进程级明细,一条 docker 命令启动。
|
||||
|
||||
## 一句话说清优势
|
||||
|
||||
| 能力 | 飞牛自带 | fnos-resmon |
|
||||
|------|---------|-------------|
|
||||
| CPU/内存占用率 | ✅ 有 | ✅ 有 |
|
||||
| 进程级 CPU/内存排行 | ❌ 无 | ✅ 进程名/PID/用户/状态/线程数 |
|
||||
| 内存 RSS/USS/SWAP 明细 | ❌ 无 | ✅ 三列细分 |
|
||||
| 一键内存回收 | ❌ 无 | ✅ 🧹 一键回收未使用的内存 |
|
||||
| 一键结束异常进程 | ❌ 无 | ✅ 一键 kill |
|
||||
| 磁盘 SMART/温度/通电时间 | ❌ 需命令行 | ✅ Web 直观展示 |
|
||||
| TCP 连接明细/侦听端口 | ❌ 无 | ✅ 进程+地址+状态 |
|
||||
| 网卡驱动/MTU/双工 | ❌ 无 | ✅ 有 |
|
||||
|
||||
## CPU 面板:谁在偷吃一眼看清
|
||||
|
||||
CPU 型号、架构、物理/逻辑核数一目了然,进程级 CPU 排行实时刷新,点表头即排序。
|
||||
|
||||

|
||||
|
||||
## 内存面板:一键回收释放空间
|
||||
|
||||
每个进程 RSS/USS/SWAP 三列细分,🧹 一键回收未使用的内存,异常进程一键结束。
|
||||
|
||||

|
||||
|
||||
## 磁盘面板:硬盘健康提前预警
|
||||
|
||||
SMART 健康、温度、通电时间 Web 直观展示,硬盘故障提前发现。
|
||||
|
||||

|
||||
|
||||
## 网络面板:谁在联网一目了然
|
||||
|
||||
所有 TCP 连接和侦听端口明细,进程+地址+状态,网卡驱动/MTU/双工全展示。
|
||||
|
||||

|
||||
|
||||
## 一条命令安装
|
||||
|
||||
```bash
|
||||
docker run -d --name fnos-resmon --privileged --network host --pid host \
|
||||
-v /proc:/host/proc:rw -v /sys:/host/sys:ro \
|
||||
-e PORT=7031 -e PROCFS_PATH=/host/proc \
|
||||
192.168.68.19:3200/jinghui/fnos-resmon:latest
|
||||
```
|
||||
|
||||
浏览器打开 `http://NAS-IP:7031` 即可使用,手机也能看。
|
||||
|
||||
- 开源地址:https://gitea.88531.cn/jinghui/fnos-resmon
|
||||
- 3 秒自动刷新,零侵入,Docker 运行不修改系统文件
|
||||
@@ -28,6 +28,9 @@ col.c-name{width:150px}col.c-num{width:90px}col.c-pid{width:80px}col.c-user{widt
|
||||
.st-sleep{color:#ff9900}.st-run{color:#20a53a}
|
||||
.kill{color:#20a53a;cursor:pointer;background:none;border:none;font-size:13px}
|
||||
.kill:hover{text-decoration:underline}
|
||||
.bigbtn{background:linear-gradient(180deg,#1f9d55,#157347);border:none;color:#fff;font-size:18px;font-weight:700;border-radius:10px;padding:14px 28px;cursor:pointer;box-shadow:0 4px 14px rgba(31,157,85,.4);display:inline-block;margin:6px 0}
|
||||
.bigbtn:hover{filter:brightness(1.1)}
|
||||
.bigbtn:active{transform:scale(.97)}
|
||||
.num{font-variant-numeric:tabular-nums}
|
||||
.bar{height:8px;background:#f0f0f0;border-radius:4px;overflow:hidden;margin-top:6px}
|
||||
.bar>i{display:block;height:100%;background:#20a53a;border-radius:4px}
|
||||
@@ -52,6 +55,11 @@ button.refresh{background:#20a53a;color:#fff;border:none;border-radius:3px;paddi
|
||||
<div class="tab" data-t="mem">内存</div>
|
||||
<div class="tab" data-t="disk">磁盘</div>
|
||||
<div class="tab" data-t="net">网络</div>
|
||||
<div style="margin-left:auto;display:flex;align-items:center;gap:12px;padding-right:16px;font-size:12px">
|
||||
<span style="color:#999">v1.2.8</span>
|
||||
<a href="https://nav.88531.cn" target="_blank" style="color:#20a53a;text-decoration:none">资享导航站</a>
|
||||
<a href="https://gitea.88531.cn/jinghui/fnos-resmon" target="_blank" style="color:#20a53a;text-decoration:none">开源地址</a>
|
||||
</div>
|
||||
</div>
|
||||
<div class="card" id="summary"></div>
|
||||
<div class="cpuinfo" id="cpuinfo" style="display:none"></div>
|
||||
@@ -72,7 +80,7 @@ document.querySelectorAll('.tab').forEach(t=>t.onclick=()=>{document.querySelect
|
||||
function fmtB(b){if(b==null)return '-';const u=['B','KB','MB','GB','TB'];let i=0;while(b>=1024&&i<4){b/=1024;i++}return b.toFixed(b>=100?0:1)+u[i]}
|
||||
function fmtR(b){return fmtB(b)+'/s'}
|
||||
function esc(s){return String(s==null?'':s).replace(/&/g,'&').replace(/</g,'<')}
|
||||
async function dropMem(){if(!confirm('回收可回收内存(drop caches)?'))return;const r=await fetch('/api/mem/drop',{method:'POST'});const j=await r.json();alert(j.ok?('已回收,可用 '+fmtB(j.available)):('失败: '+j.error));load(true)}
|
||||
async function dropMem(){if(!confirm('一键回收未使用的内存(drop caches)?'))return;const r=await fetch('/api/mem/drop',{method:'POST'});const j=await r.json();alert(j.ok?('已回收,可用 '+fmtB(j.available)):('失败: '+j.error));load(true)}
|
||||
async function kill(pid,name){if(!confirm('结束进程 '+name+' (PID '+pid+') ?'))return;const r=await fetch('/api/kill',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({pid})});const j=await r.json();alert(j.ok?'已发送结束信号':('失败: '+j.error));load(true)}
|
||||
function cmpVal(p,key){
|
||||
if(key==='name')return String(p.name||'');
|
||||
@@ -136,7 +144,7 @@ document.getElementById('sub').textContent=`共 ${j.total} 个进程,显示占
|
||||
renderHeader();
|
||||
B.innerHTML=j.items.map(p=>`<tr><td><a class="proc">${esc(p.name)}</a></td><td class="num">${p.cpu}</td><td class="num">${p.threads}</td><td class="num">${p.pid}</td><td>${esc(p.desc)}</td><td>${esc(p.user)}</td><td class="${p.active?'st-run':'st-sleep'}">${p.status}</td><td><button class="kill" onclick="kill(${p.pid},'${esc(p.name)}')">结束</button></td></tr>`).join('');
|
||||
}else if(cur==='mem'){
|
||||
S.innerHTML=`<div class="stat"><div class="k">内存占用</div><div class="v green">${j.percent}%</div></div><div class="stat"><div class="k">已用 / 总共</div><div class="v num">${fmtB(j.used)} / ${fmtB(j.total)}</div></div><div class="stat"><div class="k">可用 / Swap</div><div class="v num">${fmtB(j.available)} / ${fmtB(j.swap_used)}/${fmtB(j.swap_total)} (Swap ${j.swap_percent||0}%)</div></div><div class="stat"><div class="k">操作</div><div class="v"><button class="kill" onclick="dropMem()">回收可回收内存</button></div></div>`;
|
||||
S.innerHTML=`<div class="stat"><div class="k">内存占用</div><div class="v green">${j.percent}%</div></div><div class="stat"><div class="k">已用 / 总共</div><div class="v num">${fmtB(j.used)} / ${fmtB(j.total)}</div></div><div class="stat"><div class="k">可用 / Swap</div><div class="v num">${fmtB(j.available)} / ${fmtB(j.swap_used)}/${fmtB(j.swap_total)} (Swap ${j.swap_percent||0}%)</div></div><div class="stat"><div class="k">操作</div><div class="v"><button class="bigbtn" onclick="dropMem()">🧹 一键回收未使用的内存</button></div></div>`;
|
||||
const D=j.detail||{},H2=j.hw||{},DM=H2.dimms||[];
|
||||
const row=(k,v)=>`<span style="display:inline-block;min-width:230px;margin-right:12px">${k} <b class="num">${v}</b></span>`;
|
||||
document.getElementById('meminfo').style.display='';
|
||||
@@ -180,8 +188,8 @@ document.getElementById('netinfo').innerHTML=`<div class="model">出口 ${esc(NW
|
||||
}
|
||||
load(true);setInterval(()=>load(false),3000);
|
||||
</script>
|
||||
<footer style="text-align:center;padding:8px;font-size:12px;color:#999;border-top:1px solid #eee">
|
||||
<footer style="position:fixed;bottom:0;left:0;right:0;text-align:center;padding:6px;font-size:12px;color:#999;background:#fff;border-top:1px solid #eee;z-index:999">
|
||||
<a href="https://nav.88531.cn" target="_blank" rel="noopener">资享导航站</a> ·
|
||||
<a href="http://192.168.68.19:3200/jinghui/fnmon" target="_blank" rel="noopener">开源地址 (Gitea)</a>
|
||||
<a href="https://gitea.88531.cn/jinghui/fnos-resmon" target="_blank" rel="noopener">开源地址 (Gitea)</a>
|
||||
</footer>
|
||||
</html>
|
||||
@@ -1,2 +1,2 @@
|
||||
Flask
|
||||
flask
|
||||
psutil
|
||||
@@ -1,6 +0,0 @@
|
||||
1|#!/bin/bash
|
||||
2|# /vol1/1000/HD1/APP/hermes/awork/fnmon/start.sh
|
||||
3|# Start the CPU Monitor service
|
||||
4|cd "$(dirname "$0")"
|
||||
5|exec python3 app.py
|
||||
6|
|
||||
@@ -1,231 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Traffic tracker: total / daily / monthly cumulative counters + per-container stats with speed."""
|
||||
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
import sqlite3
|
||||
import subprocess
|
||||
import time
|
||||
from datetime import date
|
||||
|
||||
DB_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'traffic.db')
|
||||
|
||||
# Module-level cache for per-container speed calculation
|
||||
# { container_name: { 'rx': int, 'tx': int, 'ts': float }, ... }
|
||||
_PREV_CONTAINER_STATS = {}
|
||||
|
||||
|
||||
def _get_db():
|
||||
"""Get SQLite connection with schema init."""
|
||||
conn = sqlite3.connect(DB_PATH)
|
||||
c = conn.cursor()
|
||||
c.execute('''CREATE TABLE IF NOT EXISTS traffic_base (
|
||||
id TEXT PRIMARY KEY, rx_base INTEGER, tx_base INTEGER
|
||||
)''')
|
||||
c.execute('''CREATE TABLE IF NOT EXISTS traffic_daily (
|
||||
date TEXT PRIMARY KEY, rx_base INTEGER, tx_base INTEGER
|
||||
)''')
|
||||
c.execute('''CREATE TABLE IF NOT EXISTS traffic_monthly (
|
||||
month TEXT PRIMARY KEY, rx_base INTEGER, tx_base INTEGER
|
||||
)''')
|
||||
conn.commit()
|
||||
return conn
|
||||
|
||||
|
||||
def _get_interfaces():
|
||||
"""Read /proc/net/dev and return {iface: {rx, tx}} for all relevant interfaces."""
|
||||
interfaces = {}
|
||||
try:
|
||||
with open('/proc/net/dev') as f:
|
||||
for line in f.readlines()[2:]: # skip headers
|
||||
parts = line.strip().split()
|
||||
if len(parts) >= 10:
|
||||
iface = parts[0].rstrip(':')
|
||||
# Skip loopback
|
||||
if iface == 'lo':
|
||||
continue
|
||||
# Skip veth (Docker internal — counted per-container)
|
||||
if iface.startswith('veth'):
|
||||
continue
|
||||
# Skip individual Docker bridges
|
||||
if re.match(r'^br-[a-f0-9]{12}$', iface):
|
||||
continue
|
||||
interfaces[iface] = {
|
||||
'rx': int(parts[1]),
|
||||
'tx': int(parts[9]),
|
||||
}
|
||||
except Exception:
|
||||
pass
|
||||
return interfaces
|
||||
|
||||
|
||||
def _get_main_traffic(interfaces):
|
||||
"""Aggregate main interfaces (eno, enx, eth)."""
|
||||
rx = tx = 0
|
||||
for iface, data in interfaces.items():
|
||||
if iface.startswith(('eno', 'enx', 'eth')):
|
||||
rx += data['rx']
|
||||
tx += data['tx']
|
||||
return rx, tx
|
||||
|
||||
|
||||
def _parse_bytes(s):
|
||||
"""Parse '1.23kB', '45.4MB', '960B' etc to bytes."""
|
||||
s = s.strip().replace(',', '')
|
||||
m = re.match(r'([\d.]+)\s*([a-zA-Z]+)', s)
|
||||
if not m:
|
||||
return 0
|
||||
val = float(m.group(1))
|
||||
unit = m.group(2).lower()
|
||||
multipliers = {'b': 1, 'kb': 1000, 'kib': 1024, 'mb': 1e6, 'mib': 1048576,
|
||||
'gb': 1e9, 'gib': 1073741824, 'tb': 1e12, 'tib': 1099511627776}
|
||||
return int(val * multipliers.get(unit, 1))
|
||||
|
||||
|
||||
def _get_docker_containers():
|
||||
"""
|
||||
Get per-container network traffic + real-time speed.
|
||||
Returns list sorted by total traffic descending.
|
||||
Results cached for 30 seconds to avoid blocking SSE.
|
||||
"""
|
||||
global _PREV_CONTAINER_STATS, _DOCKER_CACHE, _DOCKER_CACHE_TIME
|
||||
now = time.time()
|
||||
|
||||
# Return cache if fresh (30s)
|
||||
if '_DOCKER_CACHE' in globals() and now - _DOCKER_CACHE_TIME < 30:
|
||||
return _DOCKER_CACHE
|
||||
|
||||
containers = []
|
||||
try:
|
||||
result = subprocess.run(
|
||||
['docker', 'stats', '--no-stream', '--format',
|
||||
'{{.Name}}\t{{.NetIO}}'],
|
||||
capture_output=True, text=True, timeout=30
|
||||
)
|
||||
lines = result.stdout.strip().split('\n')
|
||||
now = time.time()
|
||||
|
||||
current_snapshot = {}
|
||||
for line in lines:
|
||||
parts = line.strip().split('\t')
|
||||
if len(parts) >= 2:
|
||||
name = parts[0]
|
||||
netio = parts[1].strip()
|
||||
rx_str, tx_str = '', ''
|
||||
if ' / ' in netio:
|
||||
rx_str, tx_str = netio.split(' / ', 1)
|
||||
rx = _parse_bytes(rx_str.strip())
|
||||
tx = _parse_bytes(tx_str.strip())
|
||||
current_snapshot[name] = {'rx': rx, 'tx': tx, 'ts': now}
|
||||
|
||||
# Compute speed from previous snapshot
|
||||
rx_speed = tx_speed = 0
|
||||
prev = _PREV_CONTAINER_STATS.get(name)
|
||||
if prev:
|
||||
dt = now - prev['ts']
|
||||
if dt > 0:
|
||||
rx_speed = max(0, (rx - prev['rx']) / dt)
|
||||
tx_speed = max(0, (tx - prev['tx']) / dt)
|
||||
|
||||
containers.append({
|
||||
'name': name,
|
||||
'rx': rx,
|
||||
'tx': tx,
|
||||
'rx_speed': round(rx_speed),
|
||||
'tx_speed': round(tx_speed),
|
||||
})
|
||||
|
||||
_PREV_CONTAINER_STATS = current_snapshot
|
||||
except subprocess.TimeoutExpired:
|
||||
pass
|
||||
except FileNotFoundError:
|
||||
pass # Docker not available
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
# Sort by total traffic (rx + tx) descending
|
||||
containers.sort(key=lambda c: c['rx'] + c['tx'], reverse=True)
|
||||
_DOCKER_CACHE = containers
|
||||
_DOCKER_CACHE_TIME = time.time()
|
||||
return containers
|
||||
|
||||
|
||||
def get_traffic_stats():
|
||||
"""
|
||||
Return traffic stats:
|
||||
- total: cumulative since tracking started
|
||||
- daily: cumulative for today
|
||||
- monthly: cumulative for this month
|
||||
- containers: top Docker containers with cumulative + speed
|
||||
"""
|
||||
conn = _get_db()
|
||||
c = conn.cursor()
|
||||
today = date.today().isoformat()
|
||||
this_month = today[:7] # YYYY-MM
|
||||
|
||||
interfaces = _get_interfaces()
|
||||
main_rx, main_tx = _get_main_traffic(interfaces)
|
||||
|
||||
# ---- Total traffic baseline (set once) ----
|
||||
c.execute('SELECT rx_base, tx_base FROM traffic_base WHERE id=?', ('_main',))
|
||||
row = c.fetchone()
|
||||
if row:
|
||||
rx_base, tx_base = row
|
||||
else:
|
||||
rx_base, tx_base = main_rx, main_tx
|
||||
c.execute('INSERT OR REPLACE INTO traffic_base VALUES (?,?,?)',
|
||||
('_main', rx_base, tx_base))
|
||||
conn.commit()
|
||||
|
||||
total_rx = max(0, main_rx - rx_base)
|
||||
total_tx = max(0, main_tx - tx_base)
|
||||
|
||||
# ---- Daily cumulative (baseline at start of day) ----
|
||||
c.execute('SELECT rx_base, tx_base FROM traffic_daily WHERE date=?', (today,))
|
||||
row = c.fetchone()
|
||||
if row:
|
||||
day_rx_base, day_tx_base = row
|
||||
else:
|
||||
# First call today: set baseline = current total, so daily starts at 0
|
||||
day_rx_base, day_tx_base = total_rx, total_tx
|
||||
c.execute('INSERT OR REPLACE INTO traffic_daily VALUES (?,?,?)',
|
||||
(today, day_rx_base, day_tx_base))
|
||||
conn.commit()
|
||||
|
||||
daily_rx = max(0, total_rx - day_rx_base)
|
||||
daily_tx = max(0, total_tx - day_tx_base)
|
||||
|
||||
# ---- Monthly cumulative (baseline at start of month) ----
|
||||
c.execute('SELECT rx_base, tx_base FROM traffic_monthly WHERE month=?',
|
||||
(this_month,))
|
||||
row = c.fetchone()
|
||||
if row:
|
||||
mon_rx_base, mon_tx_base = row
|
||||
else:
|
||||
mon_rx_base, mon_tx_base = total_rx, total_tx
|
||||
c.execute('INSERT OR REPLACE INTO traffic_monthly VALUES (?,?,?)',
|
||||
(this_month, mon_rx_base, mon_tx_base))
|
||||
conn.commit()
|
||||
|
||||
monthly_rx = max(0, total_rx - mon_rx_base)
|
||||
monthly_tx = max(0, total_tx - mon_tx_base)
|
||||
|
||||
conn.close()
|
||||
|
||||
# ---- Docker containers ----
|
||||
containers = _get_docker_containers()
|
||||
|
||||
return {
|
||||
'total_rx': total_rx,
|
||||
'total_tx': total_tx,
|
||||
'daily_rx': daily_rx,
|
||||
'daily_tx': daily_tx,
|
||||
'monthly_rx': monthly_rx,
|
||||
'monthly_tx': monthly_tx,
|
||||
'containers': containers[:15], # top 15
|
||||
}
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
print(json.dumps(get_traffic_stats(), indent=2))
|
||||