Automate Jira Cloud with Python: Simplifying bulk issue creation, CSV imports and reports: VIDEOS
Automate Jira Cloud with Python: Simplifying Bulk Issue Creation, CSV Imports and Reports
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In this video, I'm going to show you how to automate the process of creating issues, importing tickets into Jira Cloud, and reporting on issues and tickets with the help of Python and a Quickstart with the JiraScripting project by David Renton.
Jira is a great tool for managing your projects, but sometimes it can be tedious to create and manage issues manually.
With JiraScripting project and Python script, you can automate the issue creation process, import ticket data into Jira, and even generate reports on issues and tickets! This script is a great way to streamline your Jira workflows and make your life easier!
? To follow along, these are required:
JiraScripting project https://github.com/dren79/JiraScripting_public
PyCharm f.e. Community Edition https://www.jetbrains.com/pycharm/download/other.html
GitHub https://github.com/
ADF Builder https://developer.atlassian.com/cloud/jira/platform/apis/document/playground/
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Summary and Chapters
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Automate tasks with Jira scripting from basic to advanced using Python requests, F-strings, ADF Builder, F3 format, CSV files, For Loops, JSON files, Plotly, Pandas, and email attachments.
- Grab the code and get started automating tasks with Jira scripting, from basic to advanced!
- Create a story in Jira with one API call using Python requests in this repo.
- Assign tasks to project leads or set to unassigned with the account ID from the file, and use the API to create stories and epics in Jira.
- Automate the creation of epics from a CSV by importing the file, skipping the header, and using F-strings to fill in the information.
- Create fancy Jira tickets with ADF Builder, use F3 format and CSV files for automation, and use For Loops for complex operations.
- Create a system to assign tasks, store records, and send reminders to follow up.
- This tool scans rows and creates tickets for those not already created, and stores the information to avoid recreating them.
- Send an email reminder and store the ticket in a JSON file to ensure it is actioned, then use Plotly, pandas, and email attachments to create an interactive diagram.
00:00 Intro
00:09 The Why
01:18 Watch Daniel Radcliff rapping (full video)
01:58 Let's go A-Z
02:40 Here is the CODE
04:57 Create a story in Jira with one API call using Python requests in this repo.
09:20 Assign tasks to project leads or set to unassigned with the account ID from the file, and use the API to create stories and epics in Jira.
13:05 Automate the creation of epics from a CSV by importing the file, skipping the header, and using F-strings to fill in the information.
16:06 Create fancy Jira tickets with ADF Builder, use F3 format and CSV files for automation, and use For Loops for complex operations.
18:47 Create a system to assign tasks, store records, and send reminders to follow up.
22:08 This tool scans rows and creates tickets for those not already created, and stores the information to avoid recreating them.
25:30 Send an email reminder and store the ticket in a JSON file to ensure it is actioned, then use Plotly, pandas, and email attachments to create an interactive diagram.
28:17 End card
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Automate Jira Cloud with Python: Simplifying bulk issue creation, CSV imports and reports
Automate Jira Cloud with Python: Simplifying Bulk Issue Creation, CSV Imports and Reports
Editorial Team
10 April 2023