Use the go test built-in command to generate coverage data: run go test -cover ./... to display the coverage percentage of each package, or use go test -coverprofile=coverage.out ./... to generate a detailed report and view the specific uncovered lines of code through go tool cover -html=coverage.out -o coverage.html. Integrate coverage report in CI: Create a coverage.out file and upload it through third-party tools such as codecov or coveralls, for example, upload it using the curl --data-binary @coverage.out https://codecov.io command. Multiple packages merge statistical coverage: generate .out files for each package separately, use go tool cover -mode=count -var=ModeSet -o merged.out to merge the results, and finally generate a unified report through go tool cover -html=merged.out -o combined_coverage.html.
When running unit testing for Go language, if you want to know code coverage, the official toolchain has provided a very convenient way. In the version of Go 1.20, the method of obtaining test coverage is more unified and simple. Let me tell you some practical methods.

Use go test
built-in command to generate coverage data
Go's own go test
command supports direct output of coverage information. You just need to add the -cover
parameter when running the test.

go test -cover ./...
This displays the percentage coverage for each package. If you want to see more details about which functions or statements are not covered, you can generate an HTML report:
go test -coverprofile=coverage.out ./... go tool cover -html=coverage.out -o coverage.html
Then open coverage.html
with your browser and you can see which line is covered and which line has not been covered.

Tip: If you only care about the coverage of a certain package, you can directly locate it in that directory and execute the command.
Integrate coverage report in CI
Many continuous integration systems (such as GitHub Actions, GitLab CI) support uploading coverage reports. You can first generate the coverage.out
file as above, and then upload it using third-party tools such as codecov or coveralls .
The basic process is as follows:
- Install the corresponding service CLI tool
- Generate coverage file
- Upload report
Take codecov as an example:
go test -coverprofile=coverage.out ./... curl --data-binary @coverage.out https://codecov.io
The specific commands of different platforms are slightly different, but the overall idea is the same: Generate report -> Extract data -> Upload analysis .
Multiple packages merge statistical coverage
If you have multiple subpackages and want to aggregate their coverage into a total report, you need to go through step by step:
- First generate
.out
files for each package - Then use
-coverprofile
and-cover.mode
to merge all results - Finally, use
go tool cover
to output HTML
For example:
go test -cover -coverprofile=coverage1.out ./pkg1 go test -cover -coverprofile=coverage2.out ./pkg2 go tool cover -mode=count -var=ModeSet -o merged.out coverage1.out coverage2.out go tool cover -html=merged.out -o combined_coverage.html
This allows you to obtain a unified coverage report covering multiple modules.
Basically these methods. Although the operation steps seem a bit too many, just by familiarizing yourself with the commands, it will actually run very quickly every time, and it can help you better evaluate the quality of the test.
The above is the detailed content of How to get code coverage for golang tests. For more information, please follow other related articles on the PHP Chinese website!

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