![]() If you need to call a new Jira Cloud API, or act on some feature that is being deprecated, then being able to generate an up-to-date library might be of value to your project. If these work well for you, then that might be a good solution.Ītlassian publishes the Swagger/Open API spec for Jira’s API in real time though. There are 3rd party Python libraries around that can talk to Jira Cloud. I will generate a library for Python, and then run through some sample code to create a project, find the “task” issue type in the project, and then create a issue of type “task”. Here I’ll cover doing the same with Python. You may have read my previous article about generating a Java library to call Jira’s REST APIs, but what about other languages? Using scrumdog will eliminate a big chunck of above code. : Since writing this post, I created a command line program called scrumdog to automatically download the Jira Issues to a SQLite database. You can use standard database tools to test your SQL queries, example “DB Browser for SQLite”.The SQLite database is self-contained and included with Python, so no additional software is required.Changes to reports can be made very quickly by changing the Standard SQL rather than the code.Easy way to keep history of previous Jira downloads for comparisons.By using tables in a database, it is easy to add additional (non Jira) information to your reports.The same Jira data can be used for different reports.This is not technically required but provides multiple advantages such as: The Excel report pulls the data from the database. In the example above, the Jira data is first written to a SQL database. Including complex text/date formating, multiple sheets, filters, column/row sizing, conditional formating and charts to name a few. However, the Python XlsxWriter library can create almost any Excel file that you can create manually. The sample program creates a very simple Excel file - see below. But it all depends on how many issues you are exporting. Total execution time is less than a second. write ( row + index, col + 1, int ( dat ), center ) workbook. write ( row + index, col, dat ) worksheet. ![]() write ( row, col + 1, 'Count', header ) row += 1 for index, dat in df. write ( row, col, 'Issue Type', header ) worksheet. Jira = JIRA ( options = ) worksheet = workbook. This is done with the following command in the Anaconda prompt.įrom jira.client import JIRA import pandas as pd import sqlite3 import xlsxwriter # SettingsĪpi_token = "wlBnubFKBPYCQ8NQFb377407" # Jira API token If you are using Anaconda – the only additional package to install is Python Jira. If you don’t use Anaconda – you may need to first install those packages using pip install. I highly suggest you use the Anaconda Python distribution as it already contains most of the libraries used such as Pandas (for data manipulation and analysis) and XlsxWriter (for creating Excel files). The program is written in Python (programming language). In Jira, select “Account Settings” then “Security”. You need to first create an API token for your user account. We will use a Jira API to extract the issues. This information will be required later on.Īutomate the process using Python Get a Jira API token Press “Switch to JQL” to get the filter details in Jira Query Language (JQL) format. This is the action that we want to automate in step 1. You could press “Export” to “Export Excel CSV (all fields)”. In Jira, go to “Filters” and select the items you want to view and export. The automated method will be based on the same query. Manually extract data from Jiraīefore we automate anything, let’s first have a look at how to export Jira items manually. It is not for Jira beginners and some very basic knowledge of Python is required. Produce an Excel report (XLSX format) from the database.Parse the extracted data (in JSON format) and save it to a database (SQLite).The program will perform the following steps: This post will show you how you can programmatically create Jira Reports in Excel using open-source software (Python) and libraries. a Daily Status Report – you may want to fully automate the process. However, if you do the same task regularly e.g. Jira comes with great reporting functionality and you can create custom Excel reports by manually exporting Jira items. Jira is a tool used for project and issue management by more than a million users from 100,000+ companies. Salvador Dalí, The Persistence of Memory, 1931 Jira Willem Hoek Automate your Jira reporting with Python and Excel
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