To run automated tests with Google Cloud Build, add a build step that invokes your project’s test command in a container with the required runtime and tools. Put that step before packaging, publishing, or deployment steps so a failed test stops the build before those later actions. You can run the build manually or configure a repository trigger to start it after a change.
How Cloud Build runs tests
Cloud Build reads a YAML or JSON build configuration and executes its steps in containers. A test is an ordinary build step: choose an image with the runtime and tooling your project needs, then invoke the same test command you would run locally or in another CI environment. The same configuration can include dependency setup, static analysis, integration tests, and later build or release steps.
Steps run serially by default. That makes order meaningful: place tests before any step that should happen only when they pass. Choose a runtime image and dependency process that match your project; the examples below use Python, Node.js, and Go, but they are not the only supported options.
Add a test step to cloudbuild.yaml
Create a cloudbuild.yaml at the project root. This minimal example runs Python tests and fails the build if pytest exits unsuccessfully:
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steps:
- name: 'python'
entrypoint: 'python'
args: ['-m', 'pytest']Replace the image and command with the runtime image, dependency installation, and test command your project requires. For reproducible builds, choose and maintain an appropriate versioned image rather than relying on a floating latest tag. If tests require dependencies, install them in an earlier step or use an image that already contains them.
Use the test command for your language
Python
Run pytest as a module. To generate a JUnit XML report as well as the usual test output, add pytest’s report option:
steps:
- name: 'python'
entrypoint: 'python'
args: ['-m', 'pytest', '--junitxml=${SHORT_SHA}_test_log.xml']This invokes python -m pytest. Ensure the image or an earlier setup step provides pytest and the project’s other dependencies.
Node.js
If the project’s package.json defines a test script, install dependencies and run it in a Node.js image:
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steps:
- name: 'node'
entrypoint: 'npm'
args: ['install']
- name: 'node'
entrypoint: 'npm'
args: ['test']Use the dependency installation method appropriate to your project and lockfile. The important part is that the test step runs the project’s actual test script and preserves its exit status.
Go
The basic Go test command is go test. To produce JUnit XML, Google’s example pipes verbose test output through go-junit-report and uses -set-exit-code so a test failure remains a failing build step. The formatter must be available in the chosen environment:
steps:
- name: 'golang'
entrypoint: 'bash'
args:
- '-c'
- 'go test -v ./... 2>&1 | go-junit-report -set-exit-code > ${SHORT_SHA}_test_log.xml'Adapt the package pattern and formatter installation to your repository. The explicit exit-code behavior matters when output is piped: without it, a shell pipeline can report the formatter’s status instead of the test command’s status.
Keep tests as a gate for later build steps
Because steps run serially by default, put the test step before container image construction, publication, or deployment when those actions depend on passing tests. A nonzero test command should fail the step and therefore prevent subsequent steps from running. Take care with shell pipelines, wrappers, or scripts that might swallow or replace the test process’s exit status.
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For example, this ordering runs tests before building an image:
steps:
- name: 'python'
entrypoint: 'python'
args: ['-m', 'pytest']
- name: 'gcr.io/cloud-builders/docker'
args: ['build', '-t', 'example-image', '.']Replace the image-building step with the packaging or release action you actually use. Do not place a release step before the test gate if it must be blocked by failures.
Generate and store a JUnit XML report
Report generation and report storage are separate choices. A test command can write JUnit XML locally in the build workspace; to retain that file outside the build, also declare it as a Cloud Storage artifact. For example, extend the Python configuration like this:
steps:
- name: 'python'
entrypoint: 'python'
args: ['-m', 'pytest', '--junitxml=${SHORT_SHA}_test_log.xml']
artifacts:
objects:
location: 'gs://${_BUCKET_NAME}/'
paths:
- '${SHORT_SHA}_test_log.xml'Before relying on upload, create the destination bucket and ensure the build’s service account has permission to write objects there. A generated XML file is not automatically uploaded just because the test command created it. JUnit XML is useful when you want a portable results artifact; it is not required to run tests. If you do not need a separate report file, inspect the test output in the build logs instead.
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Run a build manually
After adding the configuration, submit a build from the project directory with the Google Cloud CLI:
gcloud builds submit --config=cloudbuild.yaml .The final . supplies the current directory as the build source. A manual submission is useful for an ad hoc run or for checking the configuration before connecting a repository trigger. To supply a user-defined substitution such as the bucket variable in the report example, pass it explicitly:
gcloud builds submit --config=cloudbuild.yaml
--substitutions=_BUCKET_NAME=my-test-reports .Use built-in substitutions such as $PROJECT_ID or user-defined substitutions for values that vary by build. Treat substitutions as configuration values, not as a place to put secrets; the substitution mechanism itself does not establish secret handling.
Run tests automatically with a repository trigger
For continuous integration, create a Cloud Build trigger connected to your repository and configure it to respond to the repository event you want, such as a push to a branch. The trigger uses the build configuration and can also define substitutions for values that vary in trigger builds. This lets the same test-first configuration run automatically when the selected change event occurs.
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- Connect or select the repository for the trigger.
- Choose the event and branch condition, for example a push to a particular branch.
- Point the trigger at
cloudbuild.yamlin the repository. - Set any required trigger substitutions, such as a report bucket name.
- Save the trigger, then make a matching repository change to start a build.
Exact console labels and trigger setup details can change. After a trigger runs, open Cloud Build History and select the build to inspect its status, steps, and logs.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Diagnose a failed test build
Start with the failing step in the build details and its log output. Check the command, runtime environment, and—if you configured a report artifact—the upload destination separately.
- Runtime or tool missing: The selected image may not contain the language version, test runner, or report formatter the command expects. Choose a suitable image or install the missing tool as part of the build.
- Dependencies unavailable: Add the project’s dependency installation step or use the appropriate prebuilt environment. Check that installation runs before tests.
- Wrong test command: Confirm that the command matches the project’s scripts or test framework. For Node.js, for example,
npm testdepends on a test script being defined inpackage.json. - Build succeeds despite failed tests: Inspect shell pipelines and wrapper scripts for lost exit codes. When piping Go test output through a formatter, use explicit failure propagation such as
-set-exit-code. - Report file missing: Verify the test command actually writes the path declared under
artifacts.objects.paths, and that the path is relative to the build workspace as expected. - Report upload fails: Confirm the bucket exists, the configured location is correct, and the build service account can write objects to it.
- Trigger does not start a build: Check that the repository event and branch match the trigger conditions and that the trigger points to the intended configuration file.
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Cloud Build runs your automated test commands; it does not itself provide a website screenshot API. If a separate test or workflow needs to capture a URL, ScreenshotNeo is a screenshot API and MCP server that can return an image or PDF. For an API call from your own script or build step, keep the access key in your secret-handling setup and install the requests package in the environment first.
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Choose the right run and reporting setup
- Manual submission: Use it for an ad hoc check or to validate a configuration before automating it.
- Repository trigger: Use it when a matching repository event should start tests automatically.
- Build logs only: Keep the configuration simpler when console output is enough to diagnose failures.
- JUnit XML plus Cloud Storage: Generate and upload a report when you need a results file retained separately from the build logs.
For current configuration and language-specific details, consult Google Cloud’s Cloud Build documentation, including its build configuration, unit-test, trigger, and substitution guides.
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