# chia-log-analysis

**Repository Path**: linuxhph/chia-log-analysis

## Basic Information

- **Project Name**: chia-log-analysis
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-05-23
- **Last Updated**: 2021-05-23

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Chia Log Analysis
[![Build](https://github.com/Pengor/chia-log-analysis/actions/workflows/build.yml/badge.svg)](https://github.com/Pengor/chia-log-analysis/actions/workflows/build.yml)
[![Total alerts](https://img.shields.io/lgtm/alerts/g/Pengor/chia-log-analysis.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/Pengor/chia-log-analysis/alerts/)
[![Language grade: C/C++](https://img.shields.io/lgtm/grade/cpp/g/Pengor/chia-log-analysis.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/Pengor/chia-log-analysis/context:cpp)

Parses through Chia plotter log files and plops all the juicy details into a CSV file!

## Build
See below for instructions if you prefer to build the application yourself. Otherwise feel free to simply download the binaries from the [latest release](https://github.com/Pengor/chia-log-analysis/releases/latest).

### Build Prerequisites
* CMake
* C++ compiler (with support for C++17)

### Build Instructions
`git clone https://github.com/Pengor/chia-log-analysis.git`

`cd chia-log-analysis`

`cmake -E make_directory ./build`

`cmake -S src -B build`

`cmake --build build --config Release`

## Run
Navigate to the location of the built or downloaded binary and run one of the following options.

#### Guided prompts:

`./chia-log-analysis`

#### Command-line arguments:

`./chia-log-analysis -i <logfile directory> -o <output filename>`

where `<logfile directory>` is the path to your chia plotter logs and `<output filename>` is the path to the .csv file you want to save (file extension should be specified by the user).

### Note for Windows
If the application does not run you may need to install the [Microsoft Visual C++ Redistributable for Visual Studio 2019](https://visualstudio.microsoft.com/downloads/#microsoft-visual-c-redistributable-for-visual-studio-2019).

## About

### What info does it parse?
For each file it parses as much as it can find of the following (I imagine I'm not the only one who's had a plot interrupted):
* Log filename 
* Temp dir 1
* Temp dir 2
* Plot ID 
* Plot size
* Buffer size
* Buckets
* Threads
* Stripe size
* Start date
* Phase 1 duration
* Phase 1 CPU %
* Phase 2 duration
* Phase 2 CPU %
* Phase 3 duration
* Phase 3 CPU %
* Phase 4 duration
* Phase 4 CPU %
* Total time (sec)
* Total time
* Total CPU %
* Copy time
* Plot filename

### Why does this exist?
I started doing some chia plotting and wanted to compare the performance of different settings used during plotting. I imagine there are other tools out there that do the same thing as this one, but it gave me an excuse to do some more C++ learning outside my typical ecosystem. If you find any bugs or want to see a feature added please feel free to open a new [_Issue_](https://github.com/Pengor/chia-log-analysis/issues/new/choose).