Getting Code Coverage Data For Each Request Coming To A Python Web Server
Blog post from Keploy
This blog post explains how to gather code coverage data for each incoming request on a Python web server using any web framework, with a focus on the coverage.py library. Code coverage is an essential metric in software testing that measures how much of the codebase is executed during testing, helping developers identify untested code paths and improve test coverage. By collecting coverage data for each request, developers can gain granular insights into which parts of the code are executed, allowing for a deeper understanding of the application’s behavior under various conditions. This method involves implementing a middleware that captures coverage data by starting and stopping the coverage measurement around the application's main logic. The post provides a code snippet for a Flask-based server and a link to a GitHub repository containing sample applications and test cases. Additionally, coverage data can be used to identify duplicate test cases by analyzing similar code paths, enhancing the efficiency of test suites.
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