mirror of
https://codeberg.org/privacy1st/de-p1st-monitor
synced 2024-11-24 19:59:33 +01:00
249 lines
6.1 KiB
Markdown
249 lines
6.1 KiB
Markdown
# de-p1st-monitor
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## Research
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See [./research](./research).
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- HDD temp:
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- Modern hard drives will throttle their read and write speeds
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when the drive reaches a critical pre-set temperature
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(usually around 60°C)
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- 20-50°C (short-term)
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- 20-40°C (long-term usage)
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- SSD temp:
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- Most SSDs implement thermal throttling as a safety feature
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if a drive gets too hot. As the driver approaches the 70ºC limit
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that most manufacturers set, the more likely it is that the
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drive will start to slow itself down to prevent failure.
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- 30-50°C
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## Keep it simple!
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Lines of code including docstrings and comments:
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```shell
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find ./src -name '*.py' | xargs wc -l
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#=> 1394 total
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```
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## Configuration
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See [cfg/yodaTux.ini](cfg/yodaTux.ini) for a configuration file covering all config options.
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## Installation
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Install dependencies:
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- on Arch Linux
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```shell
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# TODO
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# Optional: 1-wire temperature sensor.
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sudo pacman -S digitemp # TODO: configure your sensor
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```
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- on Ubuntu
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```shell
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sudo apt-get install python3-pip
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# Ubuntu 18.04 and below
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sudo apt-get install python3-setuptools
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sudo apt-get install python3-wheel
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sudo apt-get install python3-psutil
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# Ubuntu 18.04 and below: psutil < 5.6.2
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sudo apt-get install python3-dev
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sudo apt-get install build-essential
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# Ubuntu 20.04 and below: psutil < 5.6.2
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sudo python3 -m pip install psutil --upgrade
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```
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Install:
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- on Arch Linux
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```shell
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make
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```
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- on Ubuntu
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```shell
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make install-pip
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```
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## Usage
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### Command line interface
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```
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usage: de-p1st-monitor [-h] [--config CONFIG] [--export]
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Iterates over all config sections. For each section the current sensor data is
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read and logged to a .csv file.
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options:
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-h, --help show this help message and exit
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--config CONFIG, -c CONFIG
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Path to .ini configuration file.
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--export, -e If `True`, export .csv files and print their paths to
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stdout. No sensor data is logged during this.
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```
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### Periodic logging
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Add a cron entry executing this e.g. every 3 Minutes:
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```shell
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de-p1st-monitor
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```
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## Example log files
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```shell
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ssh nas 'tail -n 1 /var/log/de-p1st-monitor/*'
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```
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```
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==> /var/log/de-p1st-monitor/cpu_15min.csv <==
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20230315T103001,0.10400390625
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==> /var/log/de-p1st-monitor/cpu_1min.csv <==
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20230315T103001,0.03076171875
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==> /var/log/de-p1st-monitor/cpu_5min.csv <==
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20230315T103001,0.0301513671875
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==> /var/log/de-p1st-monitor/drive_20d86155-30d4-404c-95e8-c701cfb16ca5.csv <==
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20230315T103001,24
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==> /var/log/de-p1st-monitor/drive_4651c3f1-e4b8-45aa-a823-df762530a307.csv <==
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20230315T103001,21
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==> /var/log/de-p1st-monitor/drive_68c349e8-5118-4773-9fd5-5dbad9acee4e.csv <==
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20230315T103001,29
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==> /var/log/de-p1st-monitor/drive_b8ef1da9-d76d-44b4-86d4-71c82c888b6f.csv <==
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20230315T103001,28
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==> /var/log/de-p1st-monitor/filesystem_3CBA-B4EA.csv <==
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20230315T103001,0.228
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==> /var/log/de-p1st-monitor/filesystem_a454430b-dee3-4b6b-8325-f7bdb9435ed1.csv <==
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20230314T231501,0.762
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==> /var/log/de-p1st-monitor/filesystem_b8ef1da9-d76d-44b4-86d4-71c82c888b6f.csv <==
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20230315T103001,0.034
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==> /var/log/de-p1st-monitor/filesystem_c385a436-0288-486f-a2b9-c64c2db667e7.csv <==
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20230315T103001,0.374
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==> /var/log/de-p1st-monitor/memory.csv <==
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20230315T103001,4127,15329
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==> /var/log/de-p1st-monitor/net_enp0s31f6.csv <==
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20230315T103001,69366974632,58725303985,20230304T173014
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==> /var/log/de-p1st-monitor/swap.csv <==
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20230315T103001,25,4095
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==> /var/log/de-p1st-monitor/temp_coretemp_Core 0.csv <==
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20230315T103001,26.0
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==> /var/log/de-p1st-monitor/temp_coretemp_Core 1.csv <==
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20230315T103001,34.0
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==> /var/log/de-p1st-monitor/temp_coretemp_Package id 0.csv <==
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20230315T103001,35.0
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```
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## Plots
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### Creating plots with graph-cli
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1) Export and fetch data
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```shell
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ssh_target=rootnas
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dst=~/de-p1st-monitor-"${ssh_target}"
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files="${dst}".files
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# Export .csv files on SSH target and save list of exported files to $files.
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ssh "${ssh_target}" 'de-p1st-monitor --export' > "${files}"
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rm -rf "${dst}"
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mkdir -p "${dst}"
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rsync --checksum --archive --progress --human-readable --delete \
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--files-from="${files}" "${ssh_target}":/ "${dst}"
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mv "${dst}"/var/log/de-p1st-monitor/* "${dst}"
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rm -r "${dst}"/var "${files}"
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cd "${dst}"
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```
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2) Install (python) `graph-cli`
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```shell
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python -m venv ~/de-p1st-monitor.venv
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source ~/de-p1st-monitor.venv/bin/activate
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pip install graph-cli
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```
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3) Create plots
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Create one plot for each .csv file:
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```shell
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sample_duration=4H
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for file in *.csv; do
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graph "${file}" -x 1 --resample "${sample_duration}" --figsize 1600x1000 -o "${file}".resample-"${sample_duration}"-mean.png || {
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echo "Error while processing ${file}"
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}
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done
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for file in {swap,memory}.csv {temp_,drive_,net_,cpu_,filesystem_}*.csv; do
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graph "${file}" -x 1 --resample "${sample_duration}" --resample-action max --figsize 1600x1000 -o "${file}".resample-"${sample_duration}"-max.png || {
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echo "Error while processing ${file}"
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}
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done
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```
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4) Optionally, create more plots
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Some self-explaining examples:
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```shell
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# x and y axis by column name
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graph cpu_1min.csv -x 'datetime#Date' -y 'float#LoadAverage1min' --resample 1H -o cpu_1min_resample-1H.png
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# x and y axis by column number
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graph cpu_1min.csv -x 1 -y 2 --resample 1H -o cpu_1min_resample-1H.png
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# specify x axis; use all other axes for y
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graph cpu_1min.csv -x 1 --resample 1H -o cpu_1min_resample-1H.png
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# increased plot size
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graph cpu_1min.csv -x 1 --resample 1H --figsize 1600x1000 -o cpu_1min_resample-1H.png
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```
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```shel
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# resample using sum
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graph net_enp0s31f6.csv.exported.csv -x 1 --resample 1H --resample-action sum --figsize 1600x1000 -o net_enp0s31f6.csv.exported_resample-1H-sum.png
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```
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```shel
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# resample using max
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graph cpu_1min.csv -x 1 --resample 1H --resample-action max --figsize 1600x1000 -o cpu_1min_resample-1H-max.png
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```
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### Example plots
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