ssl-metrics-github-issues 0.8.1

SSL Metrics - GitHub Issues Analysis

Software Systems Laboratory Metrics GitHub Issues Collector

A python tool that lets users download/ collect issues from a GitHub repository

Table of Contents

• Software Systems Laboratory Metrics GitHub Issues Collector
  • Table of Contents
  • About
  • Developer Tooling
    • Operating System
  • How To Use
    • Installation
    • Command Line Arguements

About

The Software Systems Laboratory (SSL) GitHub Issues Collector Project is a python tool that lets users download/ collect issues from a GitHub repository.

This project is licensed under the BSD-3-Clause. See the LICENSE for more information.

Developer Tooling

To maximize the utility of this project and the greater SSL Metrics project, the following software packages are required:

Operating System

All tools developed for the greater SSL Metrics project must target Mac OS and Linux. SSL Metrics software is not supported or recommended to run on Windows but can be modified to do so at your own risk.

It is recomendded to develop on Mac OS or Linux. However, if you are on a Windows machine, you can use WSL to develop as well.

How To Use

Installation

You can install the tool via pip with either of the two following one-liners:

• pip install --upgrade pip ssl-metrics-meta
• pip install --upgrade pip ssl-metrics-github-issues

Command Line Arguements

ssl-metrics-github-issues-collect -h

options:
  -h, --help            show this help message and exit
  -p, --pull-request    Flag to enable the collection of pull requests with the other data
  -r REPOSITORY, --repository REPOSITORY
                        GitHub formatted as repository owner/repository
  -o OUTPUT, --output OUTPUT
                        File to save JSON response(s) to
  -t TOKEN, --token TOKEN
                        GitHub personal access token

ssl-metrics-github-issues-graph -h

options:
  options:
  -h, --help            show this help message and exit
  -i INPUT, --input INPUT
                        The input data file that will be read to create the graphs
  -o OUTPUT, --output OUTPUT
                        The filename to output the graph to
  -r REPOSITORY_NAME, --repository-name REPOSITORY_NAME
                        Name of the repository that is being analyzed. Will be used in the graph title
  --open                Utilize Open Issue data
  --closed              Utilize Closed Issue data
  --graph-data          Graph the raw data. Discrete graph of the data
  --graph-best-fit      Graph the best fit polynomial of the data. Continous graph of the data. Polynomial degrees can be configured with
                        `-m`
  --graph-velocity      Graph the velocity of the data. Computes the best fit polynomial and takes the first derivitve. Polynomial degrees
                        can be configured with `-m`
  --graph-acceleration  Graph the acceleration of the data. Computes the best fit polynomial and takes the second derivitve. Polynomial
                        degrees can be configured with `-m`
  --graph-all           Graphs all possible figures of the data onto one chart. Computes the best fit polynomial and takes the first and
                        second derivitve. Polynomial degrees can be configured with `-m`
  --x-min X_MIN         The smallest x value that will be plotted
  --x-max X_MAX         The largest x value that will be plotted
  -m MAXIMUM_POLYNOMIAL_DEGREE, --maximum-polynomial-degree MAXIMUM_POLYNOMIAL_DEGREE
                        Estimated maximum degree of the best fit polynomial
  -s STEPPER, --stepper STEPPER
                        Step through every nth data point