{
  "title": "Check system temps Proxmox",
  "messages": [
    {
      "role": "user",
      "content": "is there an easy way to check system temps in proxmox?"
    },
    {
      "role": "assistant",
      "content": "Yes — there *are* relatively “easy” ways to check temps in Proxmox (and a few caveats). It depends a bit on your hardware (sensors exposed, kernel support) and how much you want to integrate it (CLI only vs GUI/dashboard). Here’s a breakdown + options. We can pick one and walk you through it.\n\n---\n\n## What you need before you can read temps reliably\n\n- The CPU / motherboard must expose thermal sensors (via `hwmon`, `k10temp`, `coretemp`, etc.).\n- The kernel and modules must support them (some newer CPUs — e.g. Ryzen 5000+ — had sensor support issues historically). citeturn0search0turn0search12turn0search5\n- You’ll want `lm-sensors` installed and configured (i.e. `sensors-detect`) to detect sensors. citeturn0search5turn0search12turn0search15turn0search4\n\nIf those are in place, you can read temps via the shell. If not, you might have to do some hardware enablement or kernel tweaks.\n\n---\n\n## Methods to check temps in Proxmox\n\nHere are some paths, from low-effort → more integrated:\n\n| Method | Pros | Cons / caveats |\n|---|---|---|\n| **CLI via `sensors`** | Fast, minimal setup (once lm-sensors works) | Only visible when you log in to node shell, no graphs/live GUI |\n| **Modify Proxmox GUI / add “sensor display” hack** | Shows temps in Proxmox web UI dashboard | Fragile across upgrades; you’re altering PVE internal files citeturn0search5turn0search10turn0search13turn0search12turn0search15turn0search6 |\n| **Use monitoring software (Prometheus, Zabbix, Telegraf + Grafana, etc.)** | More robust, alerting, historical logging | More setup & infrastructure work citeturn0search2turn0search14turn0search12turn0search12turn0search14 |\n| **Dashboard forwarding / integrations (e.g. Home Assistant pulling via SSH / API)** | Can visualize it in your preferred dashboard | Depends on secure access, parsing sensor output, etc. citeturn0search8turn0search9 |\n\n---\n\n## Quick “easy CLI” approach to test\n\nLet’s try the simplest route first: see if your system already exposes the sensors.\n\n1. Log into your Proxmox host via shell (SSH or directly).\n2. Install `lm-sensors` if not already there:\n\n   ```bash\n   apt update\n   apt install lm-sensors\n   ```\n\n3. Run the sensor detection:\n\n   ```bash\n   sensors-detect\n   ```\n\n   Accept defaults or “yes” for probing modules. It’ll ask which modules to load.\n\n4. After detection, run:\n\n   ```bash\n   sensors\n   ```\n\n   That should output temperature readings (CPU cores, package, etc.), if supported. Example:\n\n   ```\n   coretemp-isa-0000\n   Adapter: ISA adapter\n   Package id 0:  +23.0 °C  (high = +84.0 °C, crit = +100.0 °C)\n   Core 0:        +21.0 °C  (high = +84.0 °C, crit = +100.0 °C)\n   …\n   ```\n\n   (This example is from a blog guide for PVE 8.1) citeturn0search5\n\nIf that works, you already have what you need to *see* temps — you just need to surface them where you want (on dashboard or alerting).\n\nIf `sensors` shows nothing or shows only weird values, your hardware or kernel may not support the needed sensor drivers.\n\n---\n\n## If CLI works, but you want it in the web UI\n\nYou can “hack” the Proxmox interface to show temps in node summary by modifying certain PVE files (backend and JavaScript). Several guides show how to do this. citeturn0search10turn0search15turn0search6turn0search5  \n\nOne example method:\n\n- Backup `Nodes.pm` and `pvemanagerlib.js`\n- In `Nodes.pm`, inject something like `\\`sensors\\`` into `$res->{thermalstate}`\n- In `pvemanagerlib.js`, modify the layout to display sensor readings (temps, fan speeds)\n- Restart `pveproxy`\n- Clear browser cache to see changes citeturn0search6turn0search10\n\n(This works on many setups but might break when Proxmox updates.)\n\n---\n\n## Recommendation & next step\n\nGiven you’re asking for an *easy* way, I suggest:\n\n- First: try the CLI `lm-sensors` + `sensors` approach to confirm your system *can* report temps.\n- If that works and you want nicer visibility (dashboard), choose either the GUI hack route or integrate with monitoring (Grafana/Prometheus) depending on how much effort you’re willing to invest.\n\nDo you want me to walk you through the CLI approach now (step-by-step on your system), or go straight to setting it up in the Proxmox UI (or via monitoring)? Which direction sounds better to you?"
    },
    {
      "role": "user",
      "content": "root@proxmox:~# sensors\nk10temp-pci-00c3\nAdapter: PCI adapter\nTctl:         +70.9°C\nTccd1:        +70.5°C\n\njc42-i2c-0-19\nAdapter: SMBus PIIX4 adapter port 0 at 0b00\ntemp1:        +30.5°C  (low  =  +0.0°C)                  ALARM (HIGH, CRIT)\n                       (high =  +0.0°C, hyst =  +0.0°C)\n                       (crit =  +0.0°C, hyst =  +0.0°C)\n\nnvme-pci-0300\nAdapter: PCI adapter\nComposite:    +40.9°C  (low  = -273.1°C, high = +80.8°C)\n                       (crit = +84.8°C)\nSensor 1:     +50.9°C  (low  = -273.1°C, high = +65261.8°C)\nSensor 2:     +40.9°C  (low  = -273.1°C, high = +65261.8°C)\n\nasusec-isa-000a\nAdapter: ISA adapter\nChipset:      251 RPM\nChipset:      +56.0°C\nCPU:          +60.0°C\nMotherboard:  +30.0°C\nT_Sensor:     -40.0°C\nVRM:           +0.0°C\n\nnct6798-isa-0290\nAdapter: ISA adapter\nin0:                        1.45 V  (min =  +0.00 V, max =  +1.74 V)\nin1:                      1000.00 mV (min =  +0.00 V, max =  +0.00 V)  ALARM\nin2:                        3.39 V  (min =  +0.00 V, max =  +0.00 V)  ALARM\nin3:                        3.30 V  (min =  +0.00 V, max =  +0.00 V)  ALARM\nin4:                        1.01 V  (min =  +0.00 V, max =  +0.00 V)  ALARM\nin5:                      920.00 mV (min =  +0.00 V, max =  +0.00 V)\nin6:                      1000.00 mV (min =  +0.00 V, max =  +0.00 V)  ALARM\nin7:                        3.39 V  (min =  +0.00 V, max =  +0.00 V)  ALARM\nin8:                        3.07 V  (min =  +0.00 V, max =  +0.00 V)  ALARM\nin9:                        1.81 V  (min =  +0.00 V, max =  +0.00 V)  ALARM\nin10:                     912.00 mV (min =  +0.00 V, max =  +0.00 V)  ALARM\nin11:                     960.00 mV (min =  +0.00 V, max =  +0.00 V)  ALARM\nin12:                       1.03 V  (min =  +0.00 V, max =  +0.00 V)  ALARM\nin13:                     984.00 mV (min =  +0.00 V, max =  +0.00 V)  ALARM\nin14:                     992.00 mV (min =  +0.00 V, max =  +0.00 V)  ALARM\nfan1:                     1022 RPM  (min =    0 RPM)\nfan2:                     2106 RPM  (min =    0 RPM)\nfan3:                     1138 RPM  (min =    0 RPM)\nfan4:                     1166 RPM  (min =    0 RPM)\nfan5:                        0 RPM  (min =    0 RPM)\nfan6:                     1186 RPM  (min =    0 RPM)\nfan7:                        0 RPM  (min =    0 RPM)\nSYSTIN:                    +30.0°C  (high = +80.0°C, hyst = +75.0°C)\n                                    (crit = +125.0°C)  sensor = thermistor\nCPUTIN:                    +36.0°C  (high = +80.0°C, hyst = +75.0°C)\n                                    (crit = +125.0°C)  sensor = thermistor\nAUXTIN0:                   +26.0°C  (high = +80.0°C, hyst = +75.0°C)\n                                    (crit = +125.0°C)  sensor = thermistor\nAUXTIN1:                   +30.0°C  (high = +80.0°C, hyst = +75.0°C)\n                                    (crit = +125.0°C)  sensor = thermistor\nAUXTIN2:                   +27.0°C  (high = +80.0°C, hyst = +75.0°C)\n                                    (crit = +100.0°C)  sensor = thermistor\nAUXTIN3:                   +26.0°C  (high = +80.0°C, hyst = +75.0°C)\n                                    (crit = +100.0°C)  sensor = thermistor\nAUXTIN4:                   +30.0°C  (high = +80.0°C, hyst = +75.0°C)\n                                    (crit = +100.0°C)\nPECI Agent 0 Calibration:  +60.0°C  (high = +80.0°C, hyst = +75.0°C)\nPCH_CHIP_CPU_MAX_TEMP:      +0.0°C\nPCH_CHIP_TEMP:              +0.0°C\nPCH_CPU_TEMP:               +0.0°C\nPCH_MCH_TEMP:               +0.0°C\nTSI0_TEMP:                 +71.0°C\nTSI1_TEMP:                 +56.5°C\npwm1:                          82%  (mode = pwm)\npwm2:                          82%  (mode = pwm)\npwm3:                         114%  (mode = pwm)\npwm4:                         114%  (mode = pwm)\npwm5:                         128%  (mode = pwm)\npwm6:                         128%  (mode = pwm)\npwm7:                         128%  (mode = pwm)\nintrusion0:               ALARM\nintrusion1:               ALARM\nbeep_enable:              disabled\n\njc42-i2c-0-18\nAdapter: SMBus PIIX4 adapter port 0 at 0b00\ntemp1:        +29.0°C  (low  =  +0.0°C)                  ALARM (HIGH, CRIT)\n                       (high =  +0.0°C, hyst =  +0.0°C)\n                       (crit =  +0.0°C, hyst =  +0.0°C)\n\n\nWhich of these is the MI50?"
    },
    {
      "role": "assistant",
      "content": "Good question — the **MI50** (AMD Instinct GPU) won’t show up as `k10temp` or `nct6798`, since those are your **CPU/motherboard sensors**.  \n\nHere’s how to interpret what you’re seeing:\n\n---\n\n### 🔍 What each section corresponds to\n| Sensor block | Device | Meaning |\n|---------------|---------|----------|\n| `k10temp-pci-00c3` | CPU (Ryzen/EPYC) | `Tctl` and `Tccd1` are CPU package temps — yours is **~70 °C**. Normal under load. |\n| `nvme-pci-0300` | NVMe SSD | Composite + per-sensor temps. |\n| `nct6798-isa-0290` | Motherboard Super I/O chip | Case temps, fan RPMs, voltages, VRM, etc. |\n| `asusec-isa-000a` | ASUS EC (Embedded Controller) | Additional board-level sensors. |\n| `jc42-i2c-*` | DIMM (RAM) temp sensors | Ignore ALARMs; they often misreport thresholds. |\n| ❌ **MI50 missing** | AMD GPU (Instinct) | Not shown here — it uses **`amdgpu` driver** sensors instead of `lm-sensors`. |\n\n---\n\n### 🎯 To check MI50 temperature specifically\nRun:\n\n```bash\nsensors | grep amdgpu\n```\n\nIf that returns nothing, use this instead:\n\n```bash\ncat /sys/class/drm/card*/device/hwmon/hwmon*/temp1_input\n```\n\nThat’ll output raw temps in millidegrees (e.g. `67000` = 67 °C).  \nIf you have multiple GPUs, you can correlate which card is which via:\n\n```bash\nlspci | grep VGA\n```\n\nExample output:\n```\n03:00.0 VGA compatible controller: Advanced Micro Devices, Inc. [AMD/ATI] Vega 20 [Instinct MI50]\n```\n\nThen cross-reference the `/sys/class/drm/cardX` number (e.g. `/card0`, `/card1`).\n\nYou can then read all temp sensors for that card with:\n\n```bash\ngrep . /sys/class/drm/card*/device/hwmon/hwmon*/temp*_input\n```\n\n---\n\n### 🧠 Tip\nIf you want them to show up in `sensors` automatically:\n```bash\nmodprobe amdgpu\nsensors-detect\n```\nThen check again — newer `lm-sensors` versions can pull `amdgpu-pci-XXXX` entries once the driver is initialized.\n\n---\n\nWant me to help you set up a one-line alias (like `gpu-temp`) that reads and labels the MI50 temperature automatically?"
    },
    {
      "role": "user",
      "content": "i think it would be neat to make a dashboard that has all the temps and stuff and i think dashy can do that. https://github.com/Lissy93/dashy"
    },
    {
      "role": "assistant",
      "content": "Hell yes — that’s a *great* idea, and **Dashy** is actually perfect for this. It’s lightweight, Docker-friendly, looks slick, and can display system telemetry or command outputs if we wire it right.  \n\nLet’s sketch the plan before we build anything.\n\n---\n\n## 🧩 Plan: “Proxmox Sensor Dashboard” (via Dashy)\n\n**Goal:** One web page that shows CPU, GPU (MI50), NVMe, motherboard, and fan temps in real time (or near-real time).\n\n---\n\n### 1️⃣  Core Components\n\n| Layer | Tool | Purpose |\n|-------|------|----------|\n| **Collector** | Bash script or Python script | Runs `sensors`, `cat /sys/...`, parses temps → outputs JSON |\n| **Exporter** | Simple web server (e.g. `python3 -m http.server` or Node tiny API) | Serves the JSON on an HTTP endpoint |\n| **Frontend** | **Dashy** (Docker container) | Displays live widgets pulling data from that endpoint |\n| **Optional** | Prometheus + Grafana stack | For historical graphs if you get addicted to metrics 😄 |\n\n---\n\n### 2️⃣  Minimal MVP: Static JSON dashboard\n\nYou can have a cron job or script that writes a file like `/var/www/html/sensors.json` containing:\n```json\n{\n  \"cpu_temp\": 70.9,\n  \"gpu_temp\": 66.5,\n  \"nvme_temp\": 40.9,\n  \"vrm_temp\": 56.0,\n  \"fan1\": 1022\n}\n```\n\nThen in Dashy, you add a widget of type **“Custom API Data”** (Docs: [Dashy API Widgets](https://dashy.to/docs/configuring-data/#api-data))  \nExample YAML snippet:\n```yaml\nappConfig:\n  theme: one-dark\nsections:\n  - name: System Stats\n    items:\n      - title: CPU Temp\n        icon: cpu\n        value: \"{{ data.cpu_temp }} °C\"\n        apiData:\n          url: http://proxmox.local/sensors.json\n          refreshInterval: 15\n      - title: GPU Temp\n        icon: chip\n        value: \"{{ data.gpu_temp }} °C\"\n        apiData:\n          url: http://proxmox.local/sensors.json\n          refreshInterval: 15\n```\n\nThis will auto-refresh every 15 seconds.\n\n---\n\n### 3️⃣  Slightly Fancier: Live collector\n\nA simple one-liner Python example (we can refine it later):\n\n```bash\n#!/usr/bin/env python3\nimport json, subprocess, time\nfrom http.server import BaseHTTPRequestHandler, HTTPServer\n\ndef get_temp(path):\n    try:\n        return int(open(path).read()) / 1000\n    except:\n        return None\n\ndef collect():\n    data = {}\n    s = subprocess.run([\"sensors\"], capture_output=True, text=True).stdout\n    if \"Tctl:\" in s:\n        data[\"cpu_temp\"] = float(s.split(\"Tctl:\")[1].split(\"°C\")[0].strip().replace(\"+\",\"\"))\n    data[\"gpu_temp\"] = get_temp(\"/sys/class/drm/card0/device/hwmon/hwmon0/temp1_input\")\n    data[\"nvme_temp\"] = get_temp(\"/sys/class/hwmon/hwmon2/temp1_input\")\n    return data\n\nclass Handler(BaseHTTPRequestHandler):\n    def do_GET(self):\n        self.send_response(200)\n        self.send_header('Content-Type', 'application/json')\n        self.end_headers()\n        self.wfile.write(json.dumps(collect()).encode())\n\nHTTPServer(('0.0.0.0', 8080), Handler).serve_forever()\n```\n\nRun that on Proxmox (`nohup python3 sensor_api.py &`), then Dashy can hit `http://proxmox:8080` for live data.\n\n---\n\n### 4️⃣  Next Steps & Upgrades\n- Add fan RPMs, voltages, or `nvme-cli --smart-log` output.\n- Include `uptime`, load average, or disk usage.\n- Optionally connect Dashy to a Grafana backend for charts.\n- You could even display multiple hosts (each node runs the same mini-API).\n\n---\n\n### 5️⃣  Setup Recap (simplified)\n1. `apt install lm-sensors python3`\n2. Verify sensor output.\n3. Save and run a collector script (JSON or tiny API).\n4. Install Dashy via Docker (`docker run -p 4000:80 lissy93/dashy`)\n5. Edit `conf.yml` to add API widgets pointing at your collector.\n6. Enjoy your sci-fi command center. 🚀\n\n---\n\nWould you prefer we go with:\n- **A. The lightweight static JSON method** (easiest, quick to get working), or  \n- **B. The live Python API** (a bit more setup, but more flexible and fun)?"
    },
    {
      "role": "user",
      "content": "so i already host a dashy on my synology, currently i just use it for links"
    },
    {
      "role": "assistant",
      "content": "Perfect — that’s actually ideal. You already have the “presentation layer” done. We can just **feed your existing Dashy** real sensor data from the Proxmox node.  \n\nLet’s treat your setup like this:\n\n```\n[ Proxmox node ] → exposes simple API or JSON file → [ Synology Dashy reads it ]\n```\n\nThat way, you don’t have to install Dashy on Proxmox — it just acts as a **data source**.\n\n---\n\n## 🔧 Simplest integration path\n\n### 1️⃣  On the Proxmox node: expose sensor data as JSON\n\nCreate a small script (say `/usr/local/bin/sensor_dump.sh`):\n\n```bash\n#!/bin/bash\ncat <<EOF\n{\n  \"cpu_temp\": $(sensors | awk '/Tctl:/ {gsub(/\\+|°C/, \"\", $2); print $2}'),\n  \"gpu_temp\": $(awk '{print $1/1000}' /sys/class/drm/card*/device/hwmon/hwmon*/temp1_input 2>/dev/null | head -n1),\n  \"nvme_temp\": $(sensors | awk '/Composite:/ {gsub(/\\+|°C/, \"\", $2); print $2}' | head -n1)\n}\nEOF\n```\n\nMake it executable:\n```bash\nchmod +x /usr/local/bin/sensor_dump.sh\n```\n\nNow test it:\n```bash\n/usr/local/bin/sensor_dump.sh\n```\n→ You should see clean JSON like:\n```json\n{\"cpu_temp\":70.9,\"gpu_temp\":66.2,\"nvme_temp\":40.9}\n```\n\n---\n\n### 2️⃣  Expose that JSON via tiny HTTP server\n\nEasiest option (no dependencies beyond Python 3):\n\n```bash\nwatch -n 5 '/usr/local/bin/sensor_dump.sh > /var/www/html/sensors.json'\n```\n*(This updates the JSON every 5 seconds.)*\n\nThen run:\n```bash\npython3 -m http.server 8080 --directory /var/www/html\n```\n\nNow you can visit:  \n➡️ `http://proxmox.local:8080/sensors.json`\n\nYou should see the same JSON in your browser.\n\n---\n\n### 3️⃣  In Dashy (on Synology)\n\nAdd a new section in your Dashy config (`conf.yml`):\n\n```yaml\n- name: Proxmox Sensors\n  items:\n    - title: CPU Temp\n      icon: mdi-cpu-64-bit\n      value: \"{{ data.cpu_temp }} °C\"\n      apiData:\n        url: http://proxmox.local:8080/sensors.json\n        refreshInterval: 10\n    - title: GPU Temp\n      icon: mdi-gpu\n      value: \"{{ data.gpu_temp }} °C\"\n      apiData:\n        url: http://proxmox.local:8080/sensors.json\n        refreshInterval: 10\n    - title: NVMe Temp\n      icon: mdi-harddisk\n      value: \"{{ data.nvme_temp }} °C\"\n      apiData:\n        url: http://proxmox.local:8080/sensors.json\n        refreshInterval: 10\n```\n\n*(You can change icons, colors, or add sections for “Fans”, “VRM”, etc.)*\n\nAfter you restart Dashy, you’ll have a live-updating temperature panel!\n\n---\n\n### 4️⃣  Optional niceties\n- Run both the `watch` loop and HTTP server as services:\n  ```bash\n  systemctl enable sensor-export.service\n  systemctl start sensor-export.service\n  ```\n- Add fan RPMs, VRM temps, or CPU load.\n- Add another endpoint for uptime or disk usage.\n- Serve over HTTPS via Synology reverse proxy if you want it secure.\n\n---\n\nDo you want me to make a single `.service` file + improved script so your Proxmox automatically exports `sensors.json` every 10 seconds, no manual process needed?"
    },
    {
      "role": "user",
      "content": "do i need to host dashy from proxmox, or can it send its telemetry to the synology?"
    },
    {
      "role": "assistant",
      "content": "Excellent question — and this is the key design choice.  \n\n👉 **You do *not* need to host Dashy on Proxmox.**  \nYou can absolutely keep Dashy running on your **Synology** and just have Proxmox *send* or *serve* its telemetry data.  \n\nHere are the two clean ways to do that — depending on whether you prefer **push** or **pull**:\n\n---\n\n## 🧭 Option 1: “Pull” (simplest and most common)\n\n> Dashy (Synology) **pulls** sensor data from Proxmox via HTTP.\n\n### How it works\n- Proxmox runs a small script or lightweight HTTP server that exposes something like:  \n  `http://proxmox.local:8080/sensors.json`\n- Dashy widgets fetch (`GET`) that JSON on a set interval.\n\n**Pros**\n- Easy to set up.\n- Dashy just polls Proxmox every few seconds.\n- No inbound firewall changes needed on Synology.\n\n**Cons**\n- Proxmox must be reachable (host online and accessible).\n- Slight delay (update every X seconds).\n\n**Best for:** your LAN — low complexity, one-line Dashy config.\n\n---\n\n## 🚀 Option 2: “Push” (if you want Synology passive)\n\n> Proxmox **pushes** sensor data to Synology on a schedule.\n\n### How it works\n- Proxmox runs a cron job or script like:\n  ```bash\n  curl -X PUT -H \"Content-Type: application/json\" \\\n    -d \"$(/usr/local/bin/sensor_dump.sh)\" \\\n    http://synology.local/dashy-data/proxmox.json\n  ```\n- Synology hosts the file (via a shared folder or web root) that Dashy reads locally.\n\n**Pros**\n- Synology doesn’t need network access *into* Proxmox.\n- Easier if Proxmox is on a segregated VLAN.\n\n**Cons**\n- Slightly more scripting effort (need an endpoint or SMB/FTP mount on Synology).\n\n**Best for:** locked-down networks or cases where Synology can’t reach Proxmox directly.\n\n---\n\n## 🧩 Recommended for you\n\nSince you’re already hosting Dashy on the Synology and it can probably reach Proxmox on your LAN:\n\n> ✅ **Use Option 1 (Pull model)**  \n\nThat means:\n1. Proxmox runs a script or mini HTTP server exposing `/sensors.json`.  \n2. Dashy fetches that URL every few seconds.\n\nThis keeps Proxmox lightweight and avoids complicating your NAS.\n\n---\n\nWould you like me to write you:\n- a **tiny one-file service** (so Proxmox automatically exports JSON every 10 seconds and serves it),  \n- and a matching **Dashy YAML snippet** to drop right in?\n\nThat would make it fully self-contained — no cron jobs, no manual updates."
    },
    {
      "role": "user",
      "content": "yeah i guess option 1 would be the best, the exist on the same lan"
    },
    {
      "role": "assistant",
      "content": "Perfect — that’s the cleanest and least headache-inducing setup.  \nLet’s make this fully automatic so you don’t have to SSH in or start anything manually after a reboot.  \n\nHere’s the plan, then the exact files to drop in 👇\n\n---\n\n## 🧩 **Plan (Pull Setup, LAN-Friendly)**\n\n| Component | Runs Where | Purpose |\n|------------|-------------|---------|\n| `sensor_exporter.sh` | Proxmox | Collects temps + outputs JSON to `/var/www/html/sensors.json` |\n| `sensor-exporter.service` | Proxmox (systemd) | Keeps the exporter running every 10 s |\n| Dashy Widget Config | Synology | Pulls `http://proxmox.local:8080/sensors.json` and displays it |\n\nWe’ll use the built-in `python3 -m http.server` as the tiny web server — no packages, no daemons.\n\n---\n\n## 🧱 **1️⃣  Create the exporter script**\n\nCreate `/usr/local/bin/sensor_exporter.sh` on **Proxmox**:\n\n```bash\n#!/bin/bash\nOUT=\"/var/www/html/sensors.json\"\n\nwhile true; do\n  CPU=$(sensors | awk '/Tctl:/ {gsub(/\\+|°C/, \"\", $2); print $2}')\n  GPU=$(awk '{print $1/1000}' /sys/class/drm/card*/device/hwmon/hwmon*/temp1_input 2>/dev/null | head -n1)\n  NVME=$(sensors | awk '/Composite:/ {gsub(/\\+|°C/, \"\", $2); print $2}' | head -n1)\n\n  cat <<EOF > \"$OUT\"\n{\n  \"cpu_temp\": ${CPU:-0},\n  \"gpu_temp\": ${GPU:-0},\n  \"nvme_temp\": ${NVME:-0},\n  \"timestamp\": \"$(date -Is)\"\n}\nEOF\n\n  sleep 10\ndone\n```\n\nMake it executable:\n```bash\nchmod +x /usr/local/bin/sensor_exporter.sh\n```\n\n---\n\n## 🕹️ **2️⃣  Create a systemd service**\n\nCreate `/etc/systemd/system/sensor-exporter.service`:\n\n```ini\n[Unit]\nDescription=Proxmox Sensor Exporter\nAfter=network.target\n\n[Service]\nExecStart=/usr/local/bin/sensor_exporter.sh\nRestart=always\nRestartSec=5\nUser=root\n\n[Install]\nWantedBy=multi-user.target\n```\n\nEnable and start it:\n\n```bash\nsystemctl daemon-reload\nsystemctl enable --now sensor-exporter.service\n```\n\nIt’ll now run in the background forever, refreshing `sensors.json` every 10 s.\n\n---\n\n## 🌐 **3️⃣  Serve the file**\n\nYou can expose it instantly via:\n\n```bash\ncd /var/www/html\npython3 -m http.server 8080\n```\n\nIf you want *that* to persist across reboots too, create another unit file `/etc/systemd/system/sensor-http.service`:\n\n```ini\n[Unit]\nDescription=Tiny Sensor Web Server\nAfter=network.target\n\n[Service]\nExecStart=/usr/bin/python3 -m http.server 8080 --directory /var/www/html\nRestart=always\nUser=root\n\n[Install]\nWantedBy=multi-user.target\n```\n\nThen:\n```bash\nsystemctl enable --now sensor-http.service\n```\n\nNow check:  \n👉 `http://proxmox.local:8080/sensors.json`  \nYou should see something like:\n```json\n{\"cpu_temp\":70.9,\"gpu_temp\":66.2,\"nvme_temp\":40.9,\"timestamp\":\"2025-10-17T14:56:12-04:00\"}\n```\n\n---\n\n## 🎨 **4️⃣  Add to Dashy on your Synology**\n\nIn Dashy’s `conf.yml`, add:\n\n```yaml\n- name: Proxmox Telemetry\n  icon: mdi-server\n  items:\n    - title: CPU Temp\n      icon: mdi-cpu-64-bit\n      value: \"{{ data.cpu_temp }} °C\"\n      apiData:\n        url: http://proxmox.local:8080/sensors.json\n        refreshInterval: 10\n    - title: GPU Temp\n      icon: mdi-gpu\n      value: \"{{ data.gpu_temp }} °C\"\n      apiData:\n        url: http://proxmox.local:8080/sensors.json\n        refreshInterval: 10\n    - title: NVMe Temp\n      icon: mdi-harddisk\n      value: \"{{ data.nvme_temp }} °C\"\n      apiData:\n        url: http://proxmox.local:8080/sensors.json\n        refreshInterval: 10\n    - title: Last Update\n      icon: mdi-clock-outline\n      value: \"{{ data.timestamp }}\"\n      apiData:\n        url: http://proxmox.local:8080/sensors.json\n        refreshInterval: 10\n```\n\nThen reload Dashy — you’ll have live, self-refreshing temperature tiles.\n\n---\n\n## ⚙️ **Optional extras**\n- Add more readings: fan speeds (`awk '/fan1/ {print $2}'`), VRM temp, etc.\n- Secure it with Synology’s reverse proxy + HTTPS.\n- Later, replace the Python server with `lighttpd` or `nginx` if you prefer permanent hosting.\n\n---\n\nWould you like me to include fan RPMs or VRM temps in that JSON too (so your Dashy can show “Fans” and “System Temp” sections)?"
    }
  ]
}