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Rivusio Architecture

Overview

Rivusio is a high-performance data processing framework built on modern Python, designed for both synchronous and asynchronous data processing pipelines. This document outlines the core architecture and design principles.

Core Components

graph TD
    A[Data Source] --> B[Stream]
    B --> C[Pipeline]
    C --> D[Pipes]
    D --> E[Data Sink]

    F[Monitoring] --> B
    F --> C
    F --> D

    G[Plugin System] --> D

    H[Configuration] --> B
    H --> C
    H --> D

    subgraph "Core Components"
        B
        C
        D
    end

    subgraph "Support Systems"
        F
        G
        H
    end

Component Details

1. Stream Processing

  • AsyncStream/SyncStream: Handle data streaming with support for:
  • Batching
  • Windowing
  • Error handling
  • Backpressure (planned)

2. Pipeline

  • Pipeline Management: Orchestrates the flow of data through:
  • Multiple pipes
  • Error handling
  • Monitoring
  • Resource management

3. Pipes

  • Base Pipes: AsyncBasePipe and SyncBasePipe
  • Configurable Pipes: Support for configuration injection
  • Plugin System: Extensible architecture for custom pipes

4. Monitoring

  • Metrics Collection: Runtime statistics and performance metrics
  • Pipeline Monitor: Specialized monitoring for pipeline execution
  • Error Tracking: Comprehensive error handling and reporting

5. Plugin System

  • Registry: Central plugin management
  • Dynamic Loading: Runtime plugin discovery
  • Type Safety: Strong typing for plugin interfaces

Data Flow

.. mermaid:: sequenceDiagram participant S as Source participant St as Stream participant P as Pipeline participant Pi as Pipes participant Si as Sink

  S->>St: Emit Data
  St->>P: Process Batch/Window
  P->>Pi: Transform Data
  Pi->>Si: Output Results

  Note over St,P: Monitoring & Metrics
  Note over P,Pi: Error Handling

Design Principles

  1. Type Safety
  2. Strong typing throughout the system
  3. Runtime type checking

  4. Pydantic integration for data validation

  5. Extensibility

  6. Plugin system for custom components
  7. Configurable pipeline behavior

  8. Custom monitoring integration

  9. Performance

  10. Efficient batch processing
  11. Async/sync support

  12. Resource management

  13. Reliability

  14. Comprehensive error handling
  15. Monitoring and metrics
  16. Testing and validation

Future Enhancements

See our TODO for planned improvements and enhancements.