Sprint planner considering JIRA issues and google calendar meetings schedule.

Overview

Sprint planner

Sprint planner is a Python script for planning your Jira tasks based on your calendar availability.

Installation

Use the package manager pip to install requirements.

python3 -m venv .venv
python3 -m pip install -r requirements.txt

For Google Calendar integration:

  1. Create Google Cloud Platform project with the Google Calendar API enabled. To create a project and enable an API, refer to Create a project and enable the API
  2. Create authorization credentials for a desktop application. To learn how to create credentials for a desktop application, refer to Create credentials.
  3. Save file with credentials as credentials.json in main project folder.

For Jira integration:

Set JIRA_TOKEN, JIRA_SERVER , JIRA_USER with proper values. See Environment variables section for more details.

Usage

Plan sprint work based on JIRA tickets and available calendar time

It generates sprint plan based on your calendar and JIRA tickets.

python3 plan_sprint.py $env_file

$env_file is optional parameter to be used if there is another path to env file than default .env

Optimise focus time based on your calendar

It generates optimised list of workload you can do, without being distracted by any meeting during an issue work.

python3 optimise_focus_time.py $env_file

$env_file is optional parameter to be used if there is another path to env file than default .env

Known issues

  • problems with GCal events which lasts more than one day
  • problems might occurs if Google Calendar events starts before work hours or end after work hours

Environment variables

Jira

  • JIRA_TOKEN - User authorization token, can be generated here.
  • JIRA_SERVER - Your Jira server name i.e. https://organization.atlassian.net/.
  • JIRA_USER - Your user email.
  • JIRA_PROJECT - Project ID to fill default JQL query and to get start/end dates from current sprint.
  • JIRA_ESTIMATE_FIELD - Name of the field with estimation points, default value: timeoriginalestimate.
  • JIRA_ISSUES_JQL - Custom JQL query for fetching issues from Jira.
  • JIRA_PRIORITY_ORDER - Set to DESC if your most important tasks has greater priority id than less important ones.

Google

  • GOOGLE_CALENDAR_ID - ID of Google Calendar you want to use, default set to primary
  • GOOGLE_ATTENDEE_EMAIL - Email address of user to check if event is accepted for them. Default value None which means that all events will be loaded.

Calendar parameters

  • WORKING_HOURS_FROM - Your start work hour, default value 9.
  • WORKING_HOURS_TO - Your end work hour, default value 17.
  • WORKING_DAYS_START_WEEKDAY - First day of working week, default value 0 which means Monday.
  • WORKING_DAYS_END_WEEKDAY - Last day of working week, default value 5 which means Friday.
  • WITH_BREAK - Include break timeslot each day. Default value True
  • BREAK_TIME - Length of break in minutes. Default value 30
  • BREAK_AFTER - Minimum hour in day for the break. Default value 13

Algorithm parameters

  • TIME_PER_ESTIMATION_POINT - How long it should take to do one estimation point. Default value None which means that value will be counted proportionally to free time.
  • ALGORITHM - Possible values: NAIVE_GREEDY, NAIVE_GREEDY_WITH_SPLIT, Default value: NAIVE_GREEDY_WITH_SPLIT
  • MIN_CONSIDERABLE_SLOT_TIME - Dont plan work for slots less than MIN_CONSIDERABLE_SLOT_TIME minutes. Defaults to 0

Focus optimisation parameters

  • FOCUS_TIME_CALENDAR_START - Start date for focus optimisation in %Y-%m-%dT%H:%M:%S.%fZ format (i.e. 2021-12-10T00:00:00.000Z)
  • FOCUS_TIME_CALENDAR_END - End date for focus optimisation in %Y-%m-%dT%H:%M:%S.%fZ format (i.e. 2021-12-10T00:00:00.000Z)
  • FOCUS_TIME_STORY_POINTS_CAPACITY - Total Story Points to use in range

Future improvements

  • Introduce more complex algorithms to plan the sprint
  • Support for planning multiple developers (whole team) at once
  • Consider time cost for regaining focus after each meeting

License

MIT

Owner
Apptension
We are a fellow custom software development company for Startups, Investors and Agencies.
Apptension
Tools for calculating and visualizing Elo-like ratings of MLB teams using Retosheet data

Overview This project uses historical baseball games data to calculate an Elo-like rating for MLB teams based on regular season match ups. The Elo rat

Lukas Owens 0 Aug 25, 2021
ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata

ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata (Name, company, port, user manua

QeeqBox 2 Dec 13, 2021
An XLSX spreadsheet renderer for Django REST Framework.

drf-renderer-xlsx provides an XLSX renderer for Django REST Framework. It uses OpenPyXL to create the spreadsheet and returns the data.

The Wharton School 166 Dec 01, 2022
Joyplots in Python with matplotlib & pandas :chart_with_upwards_trend:

JoyPy JoyPy is a one-function Python package based on matplotlib + pandas with a single purpose: drawing joyplots (a.k.a. ridgeline plots). The code f

Leonardo Taccari 462 Jan 02, 2023
Boltzmann visualization - Visualize the Boltzmann distribution for simple quantum models of molecular motion

Boltzmann visualization - Visualize the Boltzmann distribution for simple quantum models of molecular motion

1 Jan 22, 2022
A script written in Python that generate output custom color (HEX or RGB input to x1b hexadecimal)

ColorShell ─ 1.5 Planned for v2: setup.sh for setup alias This script converts HEX and RGB code to x1b x1b is code for colorize outputs, works on ou

Riley 4 Oct 31, 2021
Mapomatic - Automatic mapping of compiled circuits to low-noise sub-graphs

mapomatic Automatic mapping of compiled circuits to low-noise sub-graphs Overvie

Qiskit Partners 27 Nov 06, 2022
Regress.me is an easy to use data visualization tool powered by Dash/Plotly.

Regress.me Regress.me is an easy to use data visualization tool powered by Dash/Plotly. Regress.me.-.Google.Chrome.2022-05-10.15-58-59.mp4 Get Started

Amar 14 Aug 14, 2022
An intuitive library to add plotting functionality to scikit-learn objects.

Welcome to Scikit-plot Single line functions for detailed visualizations The quickest and easiest way to go from analysis... ...to this. Scikit-plot i

Reiichiro Nakano 2.3k Dec 31, 2022
HW 2: Visualizing interesting datasets

HW 2: Visualizing interesting datasets Check out the project instructions here! Mean Earnings per Hour for Males and Females My first graph uses data

7 Oct 27, 2021
Data visualization using matplotlib

Data visualization using matplotlib project instructions Top 5 Most Common Coffee Origins In this visualization I used data from Ankur Chavda on Kaggl

13 Oct 27, 2021
Active Transport Analytics Model (ATAM) is a new strategic transport modelling and data visualization framework for Active Transport as well as emerging micro-mobility modes

{ATAM} Active Transport Analytics Model Active Transport Analytics Model (“ATAM”) is a new strategic transport modelling and data visualization framew

Peter Stephan 0 Jan 12, 2022
Insert SVGs into matplotlib

Insert SVGs into matplotlib

Andrew White 35 Dec 29, 2022
DataVisualization - The evolution of my arduino and python journey. New level of competence achieved

DataVisualization - The evolution of my arduino and python journey. New level of competence achieved

1 Jan 03, 2022
This tool is designed to help administrators get an overview of their Active Directory structure.

This tool is designed to help administrators get an overview of their Active Directory structure. In the group view you can see all elements of an AD (OU, USER, GROUPS, COMPUTERS etc.). In the user v

deexno 2 Oct 30, 2022
A custom qq-plot for two sample data comparision

QQ-Plot 2 Sample Just a gist to include the custom code to draw a qq-plot in python when dealing with a "two sample problem". This means when u try to

1 Dec 20, 2021
Investment and risk technologies maintained by Fortitudo Technologies.

Fortitudo Technologies Open Source This package allows you to freely explore open-source implementations of some of our fundamental technologies under

Fortitudo Technologies 11 Dec 14, 2022
Generate visualizations of GitHub user and repository statistics using GitHub Actions.

GitHub Stats Visualization Generate visualizations of GitHub user and repository statistics using GitHub Actions. This project is currently a work-in-

Aditya Thakekar 1 Jan 11, 2022
PanGraphViewer -- show panenome graph in an easy way

PanGraphViewer -- show panenome graph in an easy way Table of Contents Versions and dependences Desktop-based panGraphViewer Library installation for

16 Dec 17, 2022
Tweets your monthly GitHub Contributions as Wordle grid

Tweets your monthly GitHub Contributions as Wordle grid

Venu Vardhan Reddy Tekula 5 Feb 16, 2022