Configure local testing¶
Testing your data project locally ensures that your resources are working as expected before you deploy your project to Tinybird.
There are several ways of generating test data for your local project. You can:
- Check the deployment before creating it. See Check deployment.
- Create fixtures and store them with your data files. See Fixture files.
- Send mock data using the
tb mock
command. See Generate mock data. - Use an external tool to call your endpoints using fake data. See Call the Events API.
- Generate test suites using the
tb test
command. See Create a test suite.
Check deployment¶
After you finish developing your project, run tb deploy --check
to validate the deployment before creating it. This is a good way of catching potential breaking changes. See tb deploy for more information.
tb deploy --check Running against Tinybird Local » Validating deployment... » Changes to be deployed... ----------------------------------------------------------------- | status | name | path | ----------------------------------------------------------------- | modified | user_actions | datasources/user_actions.datasource | ----------------------------------------------------------------- ✓ Deployment is valid
Fixture files¶
Fixtures are NDJSON files that contain sample data for your project. Fixtures are stored inside the fixtures
folder in your project.
my-app/ ├─ datasources/ │ ├─ user_actions.datasource │ └─ ... ├─ fixtures/ │ ├─ user_actions.ndjson │ └─ ...
Every time you run tb build
, the CLI checks for fixture files and includes them in the build. Fixture files must have the same name as the associated .datasource file.
Generate mock data¶
The tb mock
command creates fixtures based on your data sources. See tb mock for more information.
For example, the following command creates a fixture for the user_actions
data source.
tb mock user_actions » Creating fixture for user_actions... ✓ /fixtures/user_actions.ndjson created ...
You can use the --prompt
flag to add more context to the data that is generated. For example:
tb mock user_actions --prompt "Create mock data for 23 users from the US"`
Call the Events API¶
Another way of testing your project is to call the local Events API endpoint using a generator, for example Mockingbird.
Obtain a token using tb token ls
. Then, use the a command to send data to the local Events API endpoint:
# Install the Mockingbird CLI npm install @tinybirdco/mockingbird-cli # Call the Events API TB_ENDPOINT=http://localhost mockingbird-cli tinybird --schema schema.json \ --datasource "<your_data_source>" \ --token "<your_token>" \ --endpoint "custom" \ --eps 50 \ --limit 200
As you call the Events API, you can see errors and warnings in the console. Use this information to debug your datafiles.
Create a test suite¶
Once your project builds correctly, you can generate a test suite using tb test.
For example, the following command creates a test suite for the user_action_insights_widget
pipe.
# Pass a pipe name to create a test tb test create user_action_insights_widget
Then, customize the tests to fit your needs.
You can use the --prompt
flag to add more context to the data that is generated. For example:
tb test create user_action_insights_widget --prompt "Make sure total events is 1014"
Next steps¶
- Make changes to your data sources and test them. See Evolve data sources.
- Learn more about deployments.
- Learn about datafiles, like .datasource and .pipe files. See Datafiles.