Test coverage is an important metric to keep track of, which helps measure effectiveness of our tests and ensure correctness of our code. We’ve shipped the first version of DeepSource CLI to facilitate pushing coverage reports via CI systems like Travis, Circle, et al. The test coverage analyzer now accepts coverage report file in Cobertura format for Python projects, and shows you metrics and issues around code coverage.
History > Run > Test Coverage
metaconfiguration for Python analyzer
The core Python analyzer now supports two new meta configuration options –
skip_doc_coverage. This will help you customize how DeepSource works for your specific needs and tastes. Read the documentation and update your
.deepsource.toml to customize these issues.
We’ve released first version of the CLI. The source code is open, take a look – github.com/deepsourcelabs/cli.
Command Line Interface > Usage
The CLI helps you send artifacts used by analyzers, like test coverage report to the newly release
test-coverage analyzer. The future holds many more capabilities!
If you need help with the integration, I’m happy to get you on board. Let me know at email@example.com.