GSoC Data Analyser Save

Simple search for organisations participating/participated in the GSoC

Project README

GSoC-Data-Analyser

A simple search for organisations participating/participated in Google Summer Of Code from 2009.

Features

  • Search your organisation
  • Get the data of your organisation
    • Data of a organisation includes the number of years it has taken part and number of projects completed in that specific year
  • Get the data of the GSoC from the year 2009
  • Single page application
  • Data is beautifully visualised with the help of Chart.js
  • Material Design
  • CSS Loader

Motivation

When choosing a organisation for the GSoC, it becomes very cumbersome to manually check if the organisation is taking part each year or is it new, number of selected candidates each year and other details. So, with this project I am trying to minimise the manual labor in finding the information about a particular organisation.

Setting up the project

Backend Setup

  • Clone this repository: git clone https://github.com/dojutsu-user/GSoC-Data-Analyser.git
  • Navigate to backend folder: cd GSoC-Data-Analyser/website/backend/
  • Install the dependencies: pipenv install
  • Activate the virtual environment: pipenv shell
  • Run the migrate command: python manage.py migrate
  • Start the server: python manage.py runserver

Frontend Setup

  • After cloning the repository, navigate to frontend folder: cd GSoC-Data-Analyser/website/frontend/
  • Install the dependencies: npm install
  • Run the reactjs project: npm start

API Documentation (Version: v1)

BASE URL: https://gsoc-analyzer.herokuapp.com/api/v1

Overview Of GSoC

Returns the data about the GSoC from year 2009-2018.

  • URL

    /overview/gsoc

  • METHOD

    GET

  • Success Response:

    • Code: 200
    • Content:
      {
        "2015":{
          "no_of_orgs":134,
          "no_of_projects":917
        },
        "2014":{
      
          "no_of_orgs":187,
          "no_of_projects":1173
        },
        "2013":{
          "no_of_orgs":172,
          "no_of_projects":1060
        },
        "2012":{
          "no_of_orgs":179,
          "no_of_projects":1073
        },
        "2011":{
          "no_of_orgs":173,
          "no_of_projects":988
        },
        "2010":{
          "no_of_orgs":151,
          "no_of_projects":917
        },
        "2009":{
          "no_of_orgs":150,
          "no_of_projects":858
        },
        "2018":{
          "no_of_orgs":212,
          "no_of_projects":1071
        },
        "2017":{
          "no_of_orgs":201,
          "no_of_projects":1127
        },
        "2016":{
          "no_of_orgs":178,
          "no_of_projects":1032
        },
        "total_orgs":1737,
        "total_projects":10216
      }
      

Searching an Organisation

Returns the organisations names with their slug

  • URL

    /search?q=QUERY

  • METHOD

    GET

  • Search Params

    Required:

    q=[string]

  • Success Response:

    • Code: 200
    • Content:: {ORG_NAME: ORG_SUG}
  • Error Response

    • If q is not present:
      • Code: 400
      • Content: {'error': 'Search query is required'}
    • If no organisation found for a given query
      • Code: 400
      • Content: {'error': 'No Results Found', 'query': QUERY}
  • Example:

    • URL: /search?q=django
    • Response: {"Django Software Foundation":"django-software-foundation"}

Getting the info of a particular organisation

Returns the information about a particular organisation

  • URL

    /org/:slug

  • Method

    GET

  • URL Params:

    • Required:

      slug=[string], represents the slug of a organisation.

  • Success Response:

    • Code: 200
    • Content:
      {
          "org_name": ORGANISATION_FULL_NAME,
          "slug": organisation-slug
          "years_of_participation": [
              "2017",
              "2018"
      ],
          "projects_each_year": {
          	"2017": 3,
              "2018" 1
      }
      
      
  • Error Response:

    • If the slug doesn't match to any organisation
      • Code: 400
      • Content: {'error': 'No Organisation Found.'}

Overview of a particular year

Returns the total organisations participated and total projects completed in a particular year from 2009-2018.

  • URL

    /overview/:year

  • METHOD

    GET

  • URL Params:

    • Required:

      year=[integer], year must lie between 2009-2018

  • Success Response:

    • Code: 200
    • Content: {"total_orgs_participated":212,"total_projects_done":1071}
  • Error Response:

    • If no data found for the specified year
      • Code: 400
      • Content: {'error': 'Data not found for the year 2000'
  • Example:

    • URL: /overview/2017
    • Response: {"total_orgs_participated":201,"total_projects_done":1127}

Screenshots

screencapture-gsoc-data-analyzer-netlify-2018-10-28-16_15_31 screencapture-gsoc-data-analyzer-netlify-about-2018-10-28-16_15_42 screencapture-gsoc-data-analyzer-netlify-overview-gsoc-2018-10-28-16_15_56 screencapture-gsoc-data-analyzer-netlify-search-2018-10-28-16_16_14 screencapture-gsoc-data-analyzer-netlify-org-django-software-foundation-2018-10-28-16_16_23

Open Source Agenda is not affiliated with "GSoC Data Analyser" Project. README Source: dojutsu-user/GSoC-Data-Analyser

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