![]() For large projects, split the Cobertura XML into ![]() If your Cobertura report exceedsġ00 nodes, there can be mismatches or no matches in the merge request diff view.Ī single Cobertura XML file can be no more than 10 MiB. LimitsĪ limit of 100 nodes for Cobertura format XML files applies. Test coverage results in merge requests.Uploading a test coverage report does not enable: Hovering over the coverage bar provides further information, such as the number ![]() no coverage information: lines which are non-instrumented or not loaded.no test coverage (orange): lines which are loaded but never executed.covered (green): lines which have been checked at least once by tests.This includes reportsįrom any job in any stage in the pipeline. Once configured, if you create a merge request that triggers a pipeline which collectsĬoverage reports, the coverage is shown in the diff view. Other coverage analysis frameworks support the format out of the box, for example: This format was originally developed for Java, but most coverage analysis frameworksįor other languages have plugins to add support for it, like: Coverage files are parsed in a background job so there can be a delayīetween pipeline completion and the visualization loading on the page.įor the coverage analysis to work, you have to provide a properly formatted GitLab then takes the coverage information in all the files and combines it You can specify one or more coverage reports to collect, including wildcard paths. To see which lines are covered by tests, and which lines still require coverage, before theĬollecting the coverage information is done via GitLab CI/CD’s This information inside the file diff view of your merge requests (MRs). And the great thing about this is that the diff document can then be merged with the first JSON document that has been compared, yielding the second JSON document that has been compared.With the help of GitLab CI/CD, you can collect the testĬoverage information of your favorite testing or coverage-analysis tool, and visualize The approach described in the other post focus in producing a JSON document that represents the differences between the two documents that have been compared. I recently put together another post describing how to compare JSON documents using JSON-P. ![]() Quoting the RFC 8259, the document that defines the JSON format (highlights are mine):Īn object is an unordered collection of zero or more name/value pairs, where a name is a string and a value is a string, number, boolean, null, object, or array.Īn array is an ordered sequence of zero or more values. This comparison method doesn’t take into account the order of the properties of objects, but it does take into account the order of the elements in arrays. It will produce the following output: Entries only on left println ( "\n\nEntries in common\n-" ) difference. println ( "\n\nEntries differing\n-" ) difference. println ( "\n\nEntries only on right\n-" ) difference. println ( "Entries only on left\n-" ) difference. difference ( leftFlatMap, rightFlatMap ) System. flatten ( rightMap ) MapDifference difference = Maps. flatten ( leftMap ) Map rightFlatMap = FlatMapUtil. It uses the JSON Pointer notation defined in the RFC 6901 for the keys, so I can easily locate the values. Import import import import import import import public final class FlatMapUtil
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