AST type system for programmatic E2E test function generation through AI
function calling.
This namespace defines a comprehensive Abstract Syntax Tree structure that
enables AI agents to construct complete E2E test functions at the AST level.
Each type corresponds to specific TypeScript language constructs, allowing
precise control over generated test code while maintaining type safety and
business logic accuracy.
Core Purpose
The system is designed for systematic generation where AI function calls
build test scenarios step-by-step, mapping business requirements to
executable code. Instead of generating raw TypeScript strings, AI agents
construct structured AST objects that represent:
Complete test function flows with proper data dependencies
Realistic API call sequences with captured responses
Comprehensive validation using TestValidator assertions
Complex business logic with conditional flows and error handling
Architecture Overview
IFunction: Root container representing complete test functions
Statements: Building blocks for test logic (API operations, expressions,
conditionals)
Expressions: Value computations, API calls, data access, and validations
Literals: Direct values for realistic business data
Random Generators: Dynamic test data creation with business constraints
Predicates: TestValidator assertions for comprehensive validation
Business Context
In E2E testing, this typically maps to complete business scenarios like:
Each generated function represents a realistic business workflow with proper
data flow, where API responses from earlier steps provide inputs for
subsequent operations, creating authentic test scenarios that mirror
real-world application usage.
Author
Samchon
Note
This namespace documentation is excluded from AI function calling schemas
AST type system for programmatic E2E test function generation through AI function calling.
This namespace defines a comprehensive Abstract Syntax Tree structure that enables AI agents to construct complete E2E test functions at the AST level. Each type corresponds to specific TypeScript language constructs, allowing precise control over generated test code while maintaining type safety and business logic accuracy.
Core Purpose
The system is designed for systematic generation where AI function calls build test scenarios step-by-step, mapping business requirements to executable code. Instead of generating raw TypeScript strings, AI agents construct structured AST objects that represent:
Architecture Overview
Business Context
In E2E testing, this typically maps to complete business scenarios like:
Each generated function represents a realistic business workflow with proper data flow, where API responses from earlier steps provide inputs for subsequent operations, creating authentic test scenarios that mirror real-world application usage.
Author
Samchon
Note
This namespace documentation is excluded from AI function calling schemas