Bitbucket Code Review Dashboard

Description

This is a python 3 based script that issues REST APIs to a Bitbucket server to gather and plot total number of pull-requests reviewed by month and by repository name.

Goal

The target of this project is to learn how to issue rest API calls to a Bitbucket server and gather information. Afterwards, use data gathered to create different kinds of graphs using Google charts.

Expected learning includes but not limited to:

• Using REST Apis via Python
• Basic HTML, CSS, JavaScript syntax
• Integrating Google Charts inside Python scripts

Prerequisites

• Knowledge prerequisites:

  • Fundamental python knowledge
    • Classes
    • Functions/Methods
    • Variables
    • Loops
    • Conditional statements
    • Command line arguments

• Setup prerequisites:

  • Bitbucket account
  • Python 3:
    • Install python3 - https://www.python.org/downloads/
    • Add the path to python3.exe to your PATH environment variable
    • Additional Python Modules:
      • atlassian-python-api==1.16.0 - https://pypi.org/project/atlassian-python-api/
      • requests==2.24.0 - https://pypi.org/project/requests/

Code

Github Repository is linked here: https://github.com/NIAGroup/bitbucket-prHistory

How To Run The Script

The script runs by invoking the python interpreter + script_name from any command line.

Without command line arguments:

python3 bitbucket_script.py

or

With command line arguments:

python3 bitbucket_script.py -u username -p password

Outcome:

Upon successful execution there will be a JSON and HTML file present in the same directory.

A user can also serve this html (PrHistoryPlot.html) file on the browser of choice to view the plots.

Output Directory Structure	Bar Graphs (PR/Month & PR/Repo)

Resources

Bitbucket Rest API documentation

• https://atlassian-python-api.readthedocs.io/bitbucket.html
• https://github.com/atlassian-api/atlassian-python-api
• https://docs.atlassian.com/bitbucket-server/rest/5.16.0/bitbucket-rest.html
• https://requests.readthedocs.io/en/master/user/quickstart/

Google Charts DataTables and DataViews documentation

• https://developers.google.com/chart/interactive/docs/datatables_dataviews#arraytodatatable

Lynda Class on Python Rest APIs

• https://www.linkedin.com/learning/scripting-for-testers/rest-api-calls-from-python?u=2101329

Atlassian Python API Wrapper Github Repo

• https://github.com/atlassian-api/atlassian-python-api