graph LR
Pipeline_Orchestration_Core["Pipeline Orchestration Core"]
Modular_Data_Processing_Units["Modular Data Processing Units"]
Asynchronous_I_O_Concurrency_Layer_BADO_["Asynchronous I/O & Concurrency Layer (BADO)"]
Data_Structuring_Parsing_Utilities["Data Structuring & Parsing Utilities"]
RSS_Feed_Auto_Discovery_Processing["RSS/Feed Auto-Discovery & Processing"]
Pipeline_Orchestration_Core -- "orchestrates" --> Modular_Data_Processing_Units
Pipeline_Orchestration_Core -- "utilizes" --> Asynchronous_I_O_Concurrency_Layer_BADO_
Modular_Data_Processing_Units -- "interacts with" --> Data_Structuring_Parsing_Utilities
Modular_Data_Processing_Units -- "interacts with" --> Asynchronous_I_O_Concurrency_Layer_BADO_
Asynchronous_I_O_Concurrency_Layer_BADO_ -- "provides raw data to" --> Data_Structuring_Parsing_Utilities
RSS_Feed_Auto_Discovery_Processing -- "uses" --> Data_Structuring_Parsing_Utilities
click Pipeline_Orchestration_Core href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/riko/Pipeline_Orchestration_Core.md" "Details"
click Modular_Data_Processing_Units href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/riko/Modular_Data_Processing_Units.md" "Details"
click Asynchronous_I_O_Concurrency_Layer_BADO_ href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/riko/Asynchronous_I_O_Concurrency_Layer_BADO_.md" "Details"
click Data_Structuring_Parsing_Utilities href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/riko/Data_Structuring_Parsing_Utilities.md" "Details"
click RSS_Feed_Auto_Discovery_Processing href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/riko/RSS_Feed_Auto_Discovery_Processing.md" "Details"
The riko project functions as a robust data processing library, enabling the creation and execution of data pipelines. Its core strength lies in its modular design, where the Pipeline Orchestration Core manages the flow of data through various Modular Data Processing Units. These units, which perform specific transformations and filtering, leverage the Asynchronous I/O & Concurrency Layer (BADO) for efficient, non-blocking data fetching and stream processing. Raw data is then channeled to the Data Structuring & Parsing Utilities for conversion into a structured format, with a specialized RSS/Feed Auto-Discovery & Processing component handling syndicated content. This architecture facilitates a clear data flow, from ingestion and parsing to transformation and output, making it ideal for both batch and stream-based data processing.
Pipeline Orchestration Core [Expand]
The central component for defining, managing, and executing data processing pipelines. It controls the flow of data and orchestrates the execution of processing units.
Related Classes/Methods:
Modular Data Processing Units [Expand]
A collection of independent, pluggable modules for data transformation, filtering, and manipulation. These are the building blocks of riko pipelines.
Related Classes/Methods:
Asynchronous I/O & Concurrency Layer (BADO) [Expand]
Provides the underlying infrastructure for asynchronous I/O and concurrent data processing, leveraging Twisted. Essential for non-blocking network requests and efficient stream processing.
Related Classes/Methods:
Data Structuring & Parsing Utilities [Expand]
Core utilities for parsing raw data formats (XML, HTML, text) and transforming them into a structured, traversable format (e.g., DotDict).
Related Classes/Methods:
RSS/Feed Auto-Discovery & Processing [Expand]
Specialized component for automatic discovery, fetching, and parsing of RSS and Atom feeds, integrating with general parsing utilities.
Related Classes/Methods: