Overview

This issue outlines the essential unit tests to ensure the robustness and accuracy of our CRUD app generator's API analysis engine and TypeScript model generation capabilities. The success of these components is crucial for creating reliable and type-safe frontend applications based on REST APIs.

Unit Tests

Basic Parsing

• Scenario: Correct extraction of endpoints and operations from a valid OpenAPI spec.
• Description: The API analysis engine can process an OpenAPI spec, identifying all defined endpoints, their corresponding HTTP methods, and any operation IDs.
• Acceptance Criteria:
  • Test asserts equality between extracted endpoints and methods with expected values.

Data Type Mapping

• Scenario: Accurate translation of OpenAPI data types to TypeScript.
• Description: The model generator correctly maps the following from OpenAPI to TypeScript:
  • Primitive types (string, number, boolean, date, etc.), including format variations.
  • Enums (conversion to suitable TypeScript representations).
• Acceptance Criteria:
  • Tests assert that generated TypeScript interfaces/types accurately reflect the OpenAPI schema structure.

Relationship Inference (If applicable)

• Scenario: Detection of implied relationships between API resources.
• Description: If supported, the tool analyzes API endpoints and response structures to infer potential relationships between entities. These relationships are reflected in the generated TypeScript models.
• Acceptance Criteria:
  • Tests assert that generated TypeScript models include properties or interfaces that represent the inferred relationships.

React/Vue Scaffolding (Basic Data Display)

• Scenario: Generated components interact with the API.
• Description: Ensure that generated React (or Vue) components can:
  • Fetch data from the API using the correct HTTP methods.
  • Map API responses to the generated TypeScript models.
  • Display the fetched data in user-friendly UI elements.
• Acceptance Criteria:
  • Tests (using a mocking approach) assert that UI components render data as expected based on mock API responses.

Additional Considerations

• Error Handling: Tests should cover how the tool handles invalid OpenAPI specs and unexpected data structures.
• Complexity: Start with a simple API spec and gradually increase complexity to test various scenarios thoroughly.

Acceptance Criteria (Overall)

• Each unit test scenario has clearly defined success/failure conditions.
• Unit tests are implemented using a suitable testing framework (e.g., Jest).
• Unit tests provide sufficient coverage for the core functionality of the API analysis engine and model generator.