Certainly! Based on the documentation you provided earlier, here are some test case ideas you can consider for your unit tests:
App Creation and Initialization:
Test that a new app can be created using the testing API keys.
Test that the app object is properly initialized and contains expected attributes.
Data Population:
Test that data (e.g., images, text) can be uploaded to the app's datasets.
Test that the uploaded data is correctly stored in the app.
Workflow Generation:
Test that the workflow generation engine can dynamically create workflows from emoji sequence descriptions.
Test that complex mathematical logic can be translated into workflow steps.
Metadata Ingestion:
Test that metadata from enterprise data sources (e.g., databases, logs) can be ingested and stored in Clarifai datasets.
Test that models can be trained on the ingested metadata.
Prompt Engineering:
Test that models can be fine-tuned and specialized for specific domains and tasks using prompt engineering techniques.
Test that the customized models produce accurate results for specific use cases.
Orchestration:
Test the end-to-end framework for generating workflows, ingesting data, training models, and executing them.
Verify that the orchestration process runs smoothly without errors.
Workflow Execution:
Test that generated workflows can be executed on sample datasets.
Verify that the expected workflow outputs are produced.
CI/CD Pipeline:
Test the CI/CD pipeline using GitHub Actions for building and testing microservices.
Ensure that the pipeline triggers correctly and performs tests on the relevant components.
Monitoring and Instrumentation:
Test that monitoring tools (Grafana, Prometheus) accurately capture and visualize Kube metrics.
Verify that errors and exceptions are properly tracked by Sentry.
Workflow Optimization:
Test caching mechanisms (e.g., Redis) to ensure extracted wiki terms are stored and reused efficiently.
Test parallel execution and incremental processing for improved performance.
Versioning and Airflow:
Test versioning for inputs, models, and workflows to ensure proper tracking of changes.
Verify that workflow pipelines defined in Airflow execute as expected.
Remember that each test case should be designed to check specific functionality or behavior and should have appropriate assertions to verify the expected outcomes. It's also a good practice to cover both successful and edge cases in your tests.
Certainly! Based on the documentation you provided earlier, here are some test case ideas you can consider for your unit tests:
App Creation and Initialization:
Data Population:
Workflow Generation:
Metadata Ingestion:
Prompt Engineering:
Orchestration:
Workflow Execution:
CI/CD Pipeline:
Monitoring and Instrumentation:
Workflow Optimization:
Versioning and Airflow:
Remember that each test case should be designed to check specific functionality or behavior and should have appropriate assertions to verify the expected outcomes. It's also a good practice to cover both successful and edge cases in your tests.