mirror of
https://codeberg.org/privacy1st/de-p1st-monitor
synced 2024-11-23 19:49:32 +01:00
244 lines
6.5 KiB
Markdown
244 lines
6.5 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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#=> 1625 total
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```
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## Configuration
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See [yodaTux.ini](src/de/p1st/monitor/data/yodaTux.ini) for a configuration file covering all config options.
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## Installation
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The package is available on [PyPI](https://pypi.org/project/de.p1st.monitor).
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There are two system dependencies which are required for some config options: `smartmontools` and `digitemp`.
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Furthermore, the kernel module `drivetemp` is required: `sudo modprobe drivetemp`
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## Installation with cron entry
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Install dependencies 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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- Arch Linux: `make install-pkgbuild`
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- pip: `make install-pip`
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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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20230712T101202,0.1351318359375
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==> /var/log/de-p1st-monitor/cpu_1min.csv <==
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20230712T101201,0.2215576171875
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==> /var/log/de-p1st-monitor/cpu_5min.csv <==
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20230712T101201,0.155517578125
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==> /var/log/de-p1st-monitor/drive_20d86155-30d4-404c-95e8-c701cfb16ca5.csv <==
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20230712T101202,27
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==> /var/log/de-p1st-monitor/drive_4651c3f1-e4b8-45aa-a823-df762530a307.csv <==
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20230712T101202,27
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==> /var/log/de-p1st-monitor/drive_68c349e8-5118-4773-9fd5-5dbad9acee4e.csv <==
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20230712T101202,30
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==> /var/log/de-p1st-monitor/drive_b8ef1da9-d76d-44b4-86d4-71c82c888b6f.csv <==
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20230712T101202,42
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==> /var/log/de-p1st-monitor/filesystem_3CBA-B4EA.csv <==
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20230712T101201,0.22699999999999998
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==> /var/log/de-p1st-monitor/filesystem_a454430b-dee3-4b6b-8325-f7bdb9435ed1.csv <==
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20230712T101201,nan
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==> /var/log/de-p1st-monitor/filesystem_b8ef1da9-d76d-44b4-86d4-71c82c888b6f.csv <==
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20230712T101201,0.28300000000000003
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==> /var/log/de-p1st-monitor/filesystem_c385a436-0288-486f-a2b9-c64c2db667e7.csv <==
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20230712T101201,0.397
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==> /var/log/de-p1st-monitor/memory.csv <==
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20230712T101201,3331,7434,7966
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==> /var/log/de-p1st-monitor/net_enp0s31f6.csv <==
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20230712T101202,34945986870,32771833466,20230706T100247
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==> /var/log/de-p1st-monitor/net_enp0s31f6.csv.exported.csv <==
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20230619T203731,68129.75690607735,67623.71270718232
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==> /var/log/de-p1st-monitor/sensor_script_room-temp.csv <==
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20230712T101202,26.19
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==> /var/log/de-p1st-monitor/swap.csv <==
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20230712T101201,2375,32767
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==> /var/log/de-p1st-monitor/temp_coretemp_Core 0.csv <==
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20230712T101202,33.0
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==> /var/log/de-p1st-monitor/temp_coretemp_Core 1.csv <==
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20230712T101202,39.0
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==> /var/log/de-p1st-monitor/temp_coretemp_Package id 0.csv <==
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20230712T101202,39.0
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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=rootYodaNas
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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 "${dst}"
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```
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2) Install (Python) `graph-cli`
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```shell
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# With a Python venv:
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#python -m venv ~/de-p1st-monitor.venv
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#source ~/de-p1st-monitor.venv/bin/activate
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#pip install graph-cli
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# With nix:
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nix-shell -p graph-cli
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```
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3) Create plots
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Create one plot for each .csv file with different resampling methods (https://pandas.pydata.org/pandas-docs/stable/reference/resampling.html#computations-descriptive-stats):
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```shell
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function plot(){
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for file in "${@}"; do
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graph "${file}" -x 1 --resample "${sample_duration}" --resample-action "${action}" --figsize 1600x1000 -o "${file}".resample-"${sample_duration}-${action}".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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# MEAN
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sample_duration=24H
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action=mean
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plot {swap,memory}.csv {temp_,cpu_,sensor_script_}*.csv
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# MAX
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sample_duration=24H
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action=max
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plot {swap,memory}.csv {temp_,drive_,drive-temp_,net_,cpu_,filesystem_,sensor_script_}*.csv
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# SUM
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sample_duration=24H
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action=sum
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plot net_*.csv
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```
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4) Create more plots as you like
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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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### Example plots
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