graph LR
Input_Parser["Input Parser"]
Request_Data_Model["Request Data Model"]
Request_Schema["Request Schema"]
Input_Parser -- "relies on" --> Request_Schema
Input_Parser -- "constructs and populates" --> Request_Data_Model
Request_Data_Model -- "influenced by" --> Request_Schema
Request_Schema -- "influences" --> Request_Data_Model
Request_Schema -- "used by" --> Input_Parser
The ganda system's input processing subsystem is composed of three core components: the Input Parser, the Request Data Model, and the Request Schema. The Input Parser acts as the entry point, consuming raw input and, based on the Request Schema, transforms it into structured Request Data Model instances. The Request Schema serves as the definitive contract, guiding the Input Parser's validation and shaping the structure of the Request Data Model. This clear separation of concerns ensures robust input handling and consistent data representation throughout the system.
This component is responsible for reading raw input (e.g., from stdin or files), performing lexical and syntactic analysis, and validating the input against the Request Schema. It then orchestrates the transformation of this raw data into instances of the Request Data Model.
Related Classes/Methods:
parser
Defines the Go data structures (structs) that represent the standardized, structured request objects. These structures are the canonical in-memory representation of a request within the ganda system, ensuring data consistency for downstream processing.
Related Classes/Methods:
requests
Provides a formal, machine-readable definition (e.g., JSON Schema) of the structure, data types, and validation constraints for the request objects. It acts as the contract for valid input, ensuring data integrity.
Related Classes/Methods:
request.schema.json