Chaoss_19_Microtasks

General Information

This is the repository containing the microtask submissions for CHAOSS GSOC 2019. The idea I want to work on is: Idea #2: Implementing CHAOSS metrics with perceval

My contributions and participation in CHAOSS

I started contributing to CHAOSS halfway through January, 2019 and have made several contributions. To avoid crowding out important information in the README, I've mentioned all my contributions in contributions.md.

Microtasks

Click on the Binder badge to run the notebooks in this repo in real time

Important Information

• Project used: atom

• Data
  Specifically, the repositories used were:

  • language-java
  • teletype

• The data was fetched at:

  • 2019-03-30 18:42:51 (Indian Standard Time)
  • 2019-03-30 13:12:51 (UTC)

Some numbers (from the analysis in this notebook):

The total number of commits is:
language-java: 336
teletype: 1102

The total number of issues is:
language-java: 96
teletype: 300

The total number of pull-requests is:
language-java: 99
teletype: 130

- Files:
- 'atom.json' -- the data collected by perceval
- 'atom.csv' -- the result of writing data to csv for microtask 1 and 2
- 'atom_last_3_months.csv' -- csv output of microtask 4 and 5

Microtask0

• The aim of this microtask is to understand the basics of perceval.
• Please click on the microtask heading to proceed to the microtask directory

Microtask1

• The aim of this microtask is to analyse changes on a quarterly basis without using pandas.
• Please click on the microtask heading to proceed to the microtask directory

Microtask2

• The aim of this microtask is to analyse changes on a quarterly basis using pandas.
• Please click on the microtask heading to proceed to the microtask directory

Microtask4

• The aim of this microtask is to analyse changes for all repositories for the last 3 months using pure python.
• The repositories are to be sorted based on the total number of items (commits, issues and pull requests) created in the last 3 months.
• Please click on the microtask heading to proceed to the microtask directory

Microtask5

• The aim of this microtask is to analyse changes for all repositories for the last 3 months using pandas.
• The repositories are to be sorted based on the total number of items (commits, issues and pull requests) created in the last 3 months.
• Please click on the microtask heading to proceed to the microtask directory.

Microtask6

• The aim of this microtask is to perform an analysis of my choice using the data fetched by perceval.
• I chose to perform an analysis regarding the issues from the data: number of open and closed issues, age of open issues etc.
• Please click on the microtask heading to proceed to the microtask directory.

Optional Microtasks

Microtask7

• The aim of this microtask is to contribute to any grimoirelab tools.
• Please check contributions.md for all of my contributions.

Microtask8

• The aim of this microtask is to contribute to wg-gmd.
• Please check the wg-gmd section of contributions.md for my contributions to wg-gmd.

About me

• My name is Aniruddha Karajgi. I am in my second year studying Bachelor of Engineering (B.E.) Computer Science at
  Birla Institute of Technology and Science, Pilani, located in the state of Rajasthan, India. I was born in Mumbai, though my current place of residence is Hyderabad, India.
• I have been programming in python for two years now.
• At college, I am a member of two technical clubs, where I work on backend development using Django and machine learning (with python). I have conducted a workshop on the same.
• During the summer after my freshman year at college, I interned at CereLabs, a startup working on deep learning applications, where I helped implement deep learning models (GANS), mainly by making data ready for the models and researching the effectiveness of those models. I also worked on cleaning and understanding open street map data, which was to be used for parsing addresses with NLP. I extensively used numpy, pandas and matplotlib during the internship.

Using this repository

• Run git clone https://github.com/Polaris000/Chaoss_19_Microtasks.git
• Install perceval
  pip3 install perceval
• Navigate to the microtask of your interest, say, microtask0.
  cd microtask0
• Start the microtask0.ipynb notebook with jupyter
• Set the variables to your preference (if you want to run it on some other data) in code cell #2

github_url = "https://github.com/"  # the github url domain: used for generating repo_urls     
owner = "atom"   
repos_used = ["language-java", "teletype"]   
repo_urls = [github_url + owner + "/" + repo_used for repo_used in repos_used]    
auth_token = "" # Please enter your github token here   
file_name = owner + ".json"   # file to which perceval stores data (a ../ is   automatically added)  

• Next, uncomment the script in code cell #3 and run it. Rememeber that if you have owner = "atom" in the previous cell and you run the commented cell, the current data fetched by perceval will be overwritten.
• Of course, there is no such problem if you intend to use this script for a different owner.