graph LR
Data_Generator["Data Generator"]
Grammar_Tree["Grammar Tree"]
Dataset_Label_Matcher["Dataset Label Matcher"]
Client["Client"]
Data_Processor["Data Processor"]
Configuration_Manager["Configuration Manager"]
Data_Generator -- "uses" --> Grammar_Tree
Data_Generator -- "uses" --> Dataset_Label_Matcher
Grammar_Tree -- "provides rules to" --> Data_Generator
Dataset_Label_Matcher -- "processes data from" --> Data_Generator
Client -- "orchestrates" --> Data_Generator
Data_Generator -- "provides status/references to" --> Client
Data_Generator -- "provides data to" --> Data_Processor
Configuration_Manager -- "provides settings to" --> Data_Generator
The libra.data_generation subsystem is designed to produce synthetic data, centered around the Data Generator component. This orchestrator leverages internal components like the Grammar Tree for defining data structures and the Dataset Label Matcher for ensuring label consistency. The subsystem operates by receiving configuration settings from an external Configuration Manager and is initiated by an external Client. Upon completion, the Data Generator provides the generated data to an external Data Processor and communicates status or references back to the Client, forming a clear input-process-output flow within the broader system architecture.
This is the central orchestrator of the data_generation subsystem. It initiates and manages the synthetic data generation process, leveraging internal components like Grammar Tree and Dataset Label Matcher for specific tasks. It acts as the primary interface for external systems.
Related Classes/Methods:
An internal component responsible for defining and managing the structural rules or grammars that guide the synthetic data generation process. It provides the framework for producing structured and valid data instances.
Related Classes/Methods:
An internal component focused on ensuring the consistency and correctness of labels within generated datasets. It validates and transforms labels to align with predefined schemas, crucial for downstream data processing.
Related Classes/Methods:
Represents an external system or user interface that initiates the data generation process and receives feedback or references from the Data Generator.
Related Classes/Methods: None
Represents an external system that consumes the synthetic data produced by the Data Generator for further processing or analysis.
Related Classes/Methods: None
Represents an external system responsible for providing necessary settings and parameters to the Data Generator for its operation.
Related Classes/Methods: None