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https://github.com/ashutoshvarma/tslogs
ThrottleStop logs parsers and visualizer
https://github.com/ashutoshvarma/tslogs
cpu-monitoring cpu-temperature gpu-monitoring log-parser log-visualization parse plot visualizer
Last synced: about 2 months ago
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ThrottleStop logs parsers and visualizer
- Host: GitHub
- URL: https://github.com/ashutoshvarma/tslogs
- Owner: ashutoshvarma
- License: mit
- Created: 2020-10-07T19:23:00.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2023-12-15T05:42:36.000Z (about 1 year ago)
- Last Synced: 2024-10-04T14:37:41.280Z (3 months ago)
- Topics: cpu-monitoring, cpu-temperature, gpu-monitoring, log-parser, log-visualization, parse, plot, visualizer
- Language: Python
- Homepage:
- Size: 656 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: COPYING
Awesome Lists containing this project
README
# `tslogs` [](https://github.com/ashutoshvarma/tslogs/stargazers)
*A Python parser and visualizer for ThrottleStop logs.*
[](https://choosealicense.com/licenses/mit/)
[](https://github.com/ashutoshvarma/tslogs/)
[](https://codecov.io/gh/ashutoshvarma/tslogs/)
[](https://pypi.python.org/pypi/tslogs)
[](https://pypi.org/project/tslogs/#files)
[](https://pypi.org/project/pronto/#files)
[](https://github.com/ashutoshvarma/tslogs/issues)
[](https://pepy.tech/project/tslogs)
## 🚩 Table of Contents
- [Overview](#%EF%B8%8F-overview)
- [What is ThrottleStop ?](#-what-is-throttlestop-)
- [Why would you like to parse ThrottleStop Logs ?](#why-would-you-like-to-parse-throttlestop-logs-)
- [Enable Logging in ThrottleStop](#%EF%B8%8F-enable-logging-in-throttlestop)
- [Installing](#-installing)
- [Usage](#-usage)
- [License](#-license)
## 🗺️ Overview
tslogs is a Python library to parse, browse, export and visualize
[ThrottleStop](https://www.techpowerup.com/download/techpowerup-throttlestop/) log files.
#### 📖 What is ThrottleStop ?
> [ThrottleStop](https://www.techpowerup.com/download/techpowerup-throttlestop/)
is a small application designed to monitor for
and correct the three main types of CPU throttling that are
being used on many laptop computers.
Official Thread - [here](http://forum.notebookreview.com/threads/the-throttlestop-guide.531329/)
Comprehensive Guide - [here](https://www.ultrabookreview.com/31385-the-throttlestop-guide/)
#### Why would you like to parse ThrottleStop Logs ?
TODO
#### 🏳️ Enable Logging in ThrottleStop
Select the `Log File` checkbox
Click on `Options` button and Select the Folder where you want logs to be saved.
## 🔧 Installing
Installing with `pip` is the easiest:
```console
# pip install tslogs # if you have the admin rights
$ pip install tslogs --user # install it in a user-site directory
```
Finally, a development version can be installed from GitHub
using `setuptools` & `pip`
```console
$ git clone https://github.com/ashutoshvarma/tslogs
$ cd tslogs
# pip install .
```
## 💡 Usage
### 1. `tslogs` - CLI tool
```console
$ tslogs --help
usage: tslogs [-h] [--json | --plot ] [--dates START END] [--interval INTERVAL] [--smooth SMOOTH] [--output FILE] [--indent VALUE] [--quiet]
[--version]
paths paths
positional arguments:
paths One or more paths to log dir or log files.
optional arguments:
-h, --help show this help message and exit
--json, -j dump all parsed log data.
--plot, -p Plot given the logs attributes (default: None). Allowed values are {multi, c0, clock_mod, chip_mod, battery_mw,
cpu_temp, gpu_mhz, gpu_temp, vid, power}
--quiet, -q Run in silent mode
--version, -v show program's version number and exit
Filter:
--dates, -d START END
Datetime range to filter (in ISO format, yyyy-mm-dd HH:MM:SS)
Plot Options:
--interval, -I INTERVAL
Plot data frequency in seconds (default: 60)
--smooth, -S SMOOTH Span interval for smoothing the graph, if data frequency is very high using increasing this with 'interval' can
yield smooth graph (default: 2)
Output:
--output, -o FILE Output file path, default is '-' (stdout)
--indent VALUE indent value for json output, default is 4
```
- #### a.) Print the summary
- #### b.) Plot Graphs
This will plot `cpu_temp`, `multi` (clock speed in GHz),
`power` (in W) and `c0` from logs between time 16:00 to 16:15 in `2020-07-28.txt`
```console
tslogs .\tests\logs\2020-07-28.txt -p cpu_temp multi power --smooth 2 --interval 1 -d "2020-07-28 16:00:00" "2020-07-28 16:15:00"
```
### 2. `tslogs` - Python Module
TODO
See `parse_logs()` and `LogLine` in `parse.py`. For more references
see the CLI implementation in `cli.py`
## 📜 License
This library is provided under the open-source
[MIT license](https://choosealicense.com/licenses/mit/).