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qualipy

Automated test process framework

  • 1.1.1
  • PyPI
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QualiPy

QualiPy is a framework for assisting with the automated testing process. Qualipy is not meant to replace pytest, behave, or other testing frameworks. Instead, it is meant to augment the process to provider further automation. It can be configured based on the needs of the project and the availablility of other technologies.

QualiPy features include:

  • Exporting feature files from JIRA for progression and regression testing
  • Uploading test results to JIRA
  • Support for custom project management, authentication, and testing plugins
  • Moving user stories based on the outcome of the tests
  • Loading test data to be used during the testing process
  • Data management across steps and scenarios

Test Plugins

QualiPy is built to use multiple testing frameworks via plugins. Currently, QualiPy supports the behave framework out of the box for business-driven development.

Project Management Plugins

Like the testing plugins, QualiPy can also use multiple project management software suites (such as JIRA) via plugins.

Authentication

In most cases, authentication needs to happen in order to interact with project management software suites. This interaction can use certificates, API keys, or simple username/password combinations. The difficult part is how to secure the credentials. For starters, a keyring authenticator is implemented that just uses the keyring functionality for the underlying OS.

Initial Setup

In order to test using JIRA, you must have a running JIRA instance.

  1. Create a test project that uses behave to run tests from feature files
  2. Create and activate a virtual environment (optional)
  3. Install QualiPy (pip install qualipy)
  4. Execute QualiPy (python -m qualipy)

QualiPy looks for qualipy.yaml in the current directory. If that is not found, then default configuration settings are used. Additionally, other YAML config files can be used by including the --config-file command line argument.

QualiPy assumes that the feature files are located in the features directory in the current working directory. This can be changed with the --features-dir command line argument.

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