Python Script for Generating Test Cases

This Python script generates test cases for a given requirement specification using OpenAI's GPT-4 model and imports them into XRAY, a test management tool for Jira.

Arguments

Example run command:

python generate-tcs-for-issue.py --req TST-47 --username [email protected] --url https://test.atlassian.net

The script takes in the following arguments:

• --req: The ID of the Jira issue containing the requirement specification.
• --username: The username used to log in to Jira.
• --url: The URL of the Jira Cloud instance.
• --tc_amount: Amount of Test Cases to generate. Default is 1.
• --debug: A boolean flag indicating whether to print debug information.

Workflow

1. Fetches the requirement data from Jira using the provided issue ID.

2. Generates test cases for the requirement using OpenAI's GPT-4 model.

3. Saves the output to a JSON file.

4. Imports the generated test cases into XRAY using the XRAY API.

   See demo video https://www.youtube.com/watch?v=WT9yVStSW48 or in Finnish https://youtu.be/twBfkGKdKg8

Libraries Used

• requests: To make HTTP requests to Jira and XRAY.
• openai: To interact with OpenAI's GPT-4 API.
• argparse: To parse command-line arguments. (build-in Python)
• json: To parse json content. (build-in Python)

Install needed libraries by running: pip install -r requirements.txt

Example token and auth files

Jira API token just one line:

Copy and update jira_token.txt from template

eyJhbGciO1NiIsInR5cCI6IkpXVCJ9.eyJ0ZW5hbnQiOiIz...........

OpenAI API token just one line:

Copy and update openai.txt from template

sk-0NpOoHLtMASW5ECT3Blb..............

XRAY Auth json also just one line

Copy and update xray_auth.json from template

{ "client_id": "FF328C5A1A487E9A...........","client_secret": "bbf3997c59bb1d63e76658fd266414c73............" }