helixml / run-python-helix-app

Design

The run-python-helix-app repository uses a modular approach to organize the codebase, aiming for a clear separation of concerns.

The core structure revolves around the Design class located in design.py. This class manages the overarching design logic and interacts with other modules to achieve the project’s goal.

Design Class

The Design class serves as the central point of control for the application. It defines the following key methods:

  • __init__(self, config=None, logger=None, **kwargs): This constructor initializes the Design object.

    • It accepts an optional config dictionary for configuration settings, and a logger object for logging purposes.
    • It allows passing additional keyword arguments using **kwargs for flexible initialization.

  • run(self): This method orchestrates the application’s main execution flow.

    • It calls other methods and functions within the Design class or from other modules to perform specific tasks.

  • build_pipeline(self, design_file, target_path=None, **kwargs): This method creates a pipeline based on the provided design_file.

    • It defines the steps involved in the pipeline, taking into account the specified target path and any other relevant parameters.

  • execute_pipeline(self, pipeline=None, **kwargs): This method executes the given pipeline.

    • It handles running each stage of the pipeline and potentially manages errors or exceptions.

  • generate_design(self, design_file, **kwargs): This method generates a design artifact based on the design_file.

    • It utilizes other functions or modules to accomplish the design generation task.

Modular Structure

The run-python-helix-app project follows a modular structure, breaking down the code into separate files and modules. This promotes reusability and maintainability:

  • design.py: Contains the core Design class, which manages the overall design process and workflow.

  • pipeline.py: Defines classes and functions related to pipeline management and execution.

  • utils.py: Provides utility functions for common tasks, such as file handling, data processing, or logging.

  • generator.py: Implements design generation logic and interfaces with relevant external tools or libraries.

  • config.py: Manages configuration settings for the application.

  • logger.py: Provides logging functionality for recording events and debugging.

Example Usage

# Import the Design class
          from design import Design
          
          # Initialize the Design object with configuration
          design = Design(config={'output_dir': './output'})
          
          # Build a pipeline from a design file
          pipeline = design.build_pipeline(design_file='my_design.yaml')
          
          # Execute the pipeline
          design.execute_pipeline(pipeline=pipeline)

This example demonstrates the basic usage of the Design class:

  1. Import the Design class.
  2. Initialize a Design object with a configuration dictionary.
  3. Build a pipeline based on a YAML design file.
  4. Execute the pipeline.

Note

The specific implementation details and methods available in the Design class may vary depending on the project’s specific requirements and functionalities. Refer to the source code for detailed information and API documentation.