graph LR
CLDR_Data_Processing["CLDR Data Processing"]
Locale_Data_Core_API["Locale Data & Core API"]
Locale_Formatting["Locale Formatting"]
Plural_Rule_Engine["Plural Rule Engine"]
Message_Translation_System["Message Translation System"]
CLDR_Data_Processing -- "Generates & Stores Data For" --> Locale_Data_Core_API
Locale_Data_Core_API -- "Provides Locale Context & Data To" --> Locale_Formatting
Locale_Data_Core_API -- "Provides Plural Rule Data To" --> Plural_Rule_Engine
Plural_Rule_Engine -- "Provides Compiled Rules To" --> Locale_Formatting
Plural_Rule_Engine -- "Provides Compiled Rules To" --> Message_Translation_System
Message_Translation_System -- "Consumes Locale Data From" --> Locale_Data_Core_API
click CLDR_Data_Processing href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/babel/CLDR_Data_Processing.md" "Details"
click Locale_Data_Core_API href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/babel/Locale_Data_Core_API.md" "Details"
click Locale_Formatting href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/babel/Locale_Formatting.md" "Details"
click Plural_Rule_Engine href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/babel/Plural_Rule_Engine.md" "Details"
click Message_Translation_System href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/babel/Message_Translation_System.md" "Details"
The Babel library's architecture is characterized by a clear separation of concerns, enabling robust internationalization and localization capabilities. It begins with an offline CLDR Data Processing pipeline that prepares locale-specific data. This data is then consumed at runtime by the Locale Data & Core API, which serves as the central repository and interface for all locale-related information. Specialized components like Locale Formatting leverage this core data to handle diverse formatting needs (dates, numbers, units). A dedicated Plural Rule Engine processes CLDR plural rules, providing essential logic for both formatting and the comprehensive Message Translation System. This system encompasses message extraction, catalog management, file I/O (PO/MO), and runtime translation support, forming a complete Gettext integration. This modular design ensures extensibility, maintainability, and clear data flow, making it ideal for diagrammatic representation where each component's role and interactions are distinctly visible.
CLDR Data Processing [Expand]
Handles the offline ingestion, parsing, and conversion of raw CLDR XML data into Babel's internal data structures.
Related Classes/Methods:
Locale Data & Core API [Expand]
Manages the loading, caching, and resolution of locale-specific data at runtime, providing the foundational data and a core interface for locale identifiers and general locale information.
Related Classes/Methods:
Locale Formatting [Expand]
Provides functionality for formatting and parsing locale-specific data types such as dates, times, numbers, currencies, percentages, and units, leveraging the Locale Data & Core API.
Related Classes/Methods:
Plural Rule Engine [Expand]
Interprets and compiles CLDR plural rules into executable code for various target languages, essential for correct pluralization in both formatting and message translation.
Related Classes/Methods:
Message Translation System [Expand]
A comprehensive system for managing translatable messages, including extraction from source code, in-memory catalog management, reading/writing Gettext PO/MO files, and providing runtime translation support. It also includes the pybabel CLI tools.
Related Classes/Methods: