Software Systems Laboratory Metrics GitHub Issue Spoilage

A python tool to calculate the issue spoilage of a GitHub repository

Software Systems Laboratory Metrics GitHub Issue Spoilage

About

The Software Systems Laboratory (SSL) GitHub Issue Spoilage Project is a python tool to calculate the issue spoilage of a GitHub repository. It is reliant upon the output of the GitHub Issue tool.

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-issue-spoilage

Command Line Arguements

ssl-metrics-github-issue-spoilage-graph -h

options:
  -h, --help            show this help message and exit
  -u UPPER_WINDOW_BOUND, --upper-window-bound UPPER_WINDOW_BOUND
                        Argument to specify the max number of days to look at. NOTE: window bounds are inclusive.
  -l LOWER_WINDOW_BOUND, --lower-window-bound LOWER_WINDOW_BOUND
                        Argument to specify the start of the window of time to analyze. NOTE: window bounds are inclusive.
  -c CLOSED_ISSUES_GRAPH_FILENAME, --closed-issues-graph-filename CLOSED_ISSUES_GRAPH_FILENAME
                        The filename of the output graph of closed issues
  -i INPUT, --input INPUT
                        The input JSON file that is to be used for graphing
  -d LINE_OF_ISSUES_SPOILAGE_FILENAME, --line-of-issues-spoilage-filename LINE_OF_ISSUES_SPOILAGE_FILENAME
                        The filename of the output graph of spoiled issues
  -o OPEN_ISSUES_GRAPH_FILENAME, --open-issues-graph-filename OPEN_ISSUES_GRAPH_FILENAME
                        The filename of the output graph of open issues
  -x JOINT_GRAPH_FILENAME, --joint-graph-filename JOINT_GRAPH_FILENAME
                        The filename of the joint output graph of open and closed issues

Metadata

Release files for ssl-metrics-github-issue-spoilage 0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ssl-metrics-github-issue-spoilage 0.2
File	Size	Uploaded	Provenance	Actions
ssl-metrics-github-issue-spoilage-0.2.tar.gz	5.8 kB	Apr 12, 2022	Without provenance	Details for ssl-metrics-github-issue-spoilage-0.2.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for ssl-metrics-github-issue-spoilage 0.2
File	Interpreter	ABI	Platform	Actions Reset
ssl_metrics_github_issue_spoilage-0.2-py3-none-any.whl 7.1 kB Apr 12, 2022 Without provenance	Python 3	none	any	Details for ssl_metrics_github_issue_spoilage-0.2-py3-none-any.whl

Total release size: 12.9 kB

Release files / ssl-metrics-github-issue-spoilage-0.2.tar.gz

Download URL	ssl-metrics-github-issue-spoilage-0.2.tar.gz
Size	5.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`4c4f0df555c8320fcf7ee8cc98e75b0964f81ba80f1e94bc4bd967eba0abc36d`
BLAKE2b-256 checksum How to use checksums	`c7a017586c63fdcec0c5ad4fbea6a0e12ff0fe462d2ecddf3a565dc809a15557`
Upload date	Apr 12, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.0 CPython/3.9.12`

Release files / ssl_metrics_github_issue_spoilage-0.2-py3-none-any.whl

Download URL	ssl_metrics_github_issue_spoilage-0.2-py3-none-any.whl
Size	7.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`9b1d8e9b190aa1a0de145491b4bbbc2cd2dff95ebd4afe85e3d435bd4250611a`
BLAKE2b-256 checksum How to use checksums	`771109a43640fd94dee88dec5ee7e164816cf5b5baf846d8b1f069658da7f9bc`
Upload date	Apr 12, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.0 CPython/3.9.12`

Security for ssl-metrics-github-issue-spoilage 0.2

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This release

0.2 This release

Apr 12, 2022 2 release files No provenance

0.1

Jan 31, 2022 2 release files No provenance

ssl-metrics-github-issue-spoilage 0.2