junit-to-ctrf
v0.0.5
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> Convert JUnit reports to CTRF reports
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Convert JUnit XML to CTRF JSON
Convert JUnit reports to CTRF reports
This package is useful if there isn't a CTRF reporter available for your test framework.
Help us grow CTRF
⭐ If you find this project useful, please consider following the CTRF organisation and giving this repository a star ⭐
It means a lot to us and helps us grow this open source library.
Usage
npx junit-to-ctrf path/to/junit.xml
Options
-o
, --output
: Output directory and filename for the CTRF report. If not provided, defaults to ctrf/ctrf-report.json.
-t
, --tool
: Tool name to include in the CTRF report.
-e
, --env
: Environment properties to include in the CTRF report. Accepts multiple properties in the format KEY=value.
Examples
Convert a JUnit XML report to the default CTRF report location (ctrf/ctrf-report.json):
npx junit-to-ctrf path/to/junit.xml
Specify Output File
Convert a JUnit XML report to a specified output file:
npx junit-to-ctrf path/to/junit.xml -o path/to/output/ctrf-report.json
Include Tool Name
Convert a JUnit XML report and include a tool name in the CTRF report:
npx junit-to-ctrf path/to/junit.xml -t ExampleTool
Include Environment Properties
Convert a JUnit XML report and include environment properties in the CTRF report:
npx junit-to-ctrf path/to/junit.xml -e appName=MyApp buildName=MyBuild
See CTRF schema for possible environment properties
Full Command
Combine all options in a single command:
npx junit-to-ctrf path/to/junit.xml -o path/to/output/ctrf-report.json -t ExampleTool -e appName=MyApp buildName=MyBuild
What is CTRF?
CTRF is a universal JSON test report schema that addresses the lack of a standardized format for JSON test reports.
Consistency Across Tools: Different testing tools and frameworks often produce reports in varied formats. CTRF ensures a uniform structure, making it easier to understand and compare reports, regardless of the testing tool used.
Language and Framework Agnostic: It provides a universal reporting schema that works seamlessly with any programming language and testing framework.
Facilitates Better Analysis: With a standardized format, programatically analyzing test outcomes across multiple platforms becomes more straightforward.
Support Us
If you find this project useful, consider giving it a GitHub star ⭐ It means a lot to us.