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105 lines (63 loc) · 4.89 KB
graph LR
    Core_Application_CLI["Core Application/CLI"]
    Task_Management["Task Management"]
    Scheduler["Scheduler"]
    Tool_Executor["Tool Executor"]
    Configuration_Manager["Configuration Manager"]
    File_Handler["File Handler"]
    Registry_Plugin_Manager["Registry/Plugin Manager"]
    Reporting_Logging["Reporting & Logging"]
    Core_Application_CLI -- "uses" --> Configuration_Manager
    Core_Application_CLI -- "uses" --> Task_Management
    Task_Management -- "uses" --> Scheduler
    Task_Management -- "uses" --> Tool_Executor
    Task_Management -- "uses" --> Configuration_Manager
    Task_Management -- "uses" --> File_Handler
    Task_Management -- "sends to" --> Reporting_Logging
    Scheduler -- "uses" --> Task_Management
    Scheduler -- "uses" --> Tool_Executor
    Scheduler -- "sends to" --> Reporting_Logging
    Tool_Executor -- "uses" --> Registry_Plugin_Manager
    Tool_Executor -- "sends to" --> Reporting_Logging
    Configuration_Manager -- "uses" --> File_Handler
    Registry_Plugin_Manager -- "provides to" --> Tool_Executor
    Registry_Plugin_Manager -- "provides to" --> Task_Management
    click Task_Management href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/python_testbench/Task_Management.md" "Details"
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Details

One paragraph explaining the functionality which is represented by this graph. What the main flow is and what is its purpose.

Core Application/CLI

The primary entry point for the python_testbench framework. It is responsible for parsing command-line arguments, initializing the system, and orchestrating the overall execution flow based on user input. It acts as the main interface for users to interact with the testbench.

Related Classes/Methods:

  • testbench.py

Task Management [Expand]

Defines, organizes, and manages the lifecycle of individual tasks or test cases within the python_testbench framework. It provides the structure and mechanisms for tasks to be scheduled, their execution flow to be dictated, and ensures they are performed in the correct sequence and under specified conditions. It serves as the blueprint for the Scheduler and Tool Executor.

Related Classes/Methods:

  • testbench.tasks

Scheduler

Responsible for the actual scheduling and execution of tasks defined by the Task Management component. It dictates the order and timing of task execution, managing sequential or parallel flows as required by the task definitions.

Related Classes/Methods:

Tool Executor

Manages the execution of specific "tools" or actions that individual tasks utilize. It acts as an interface for tasks to invoke external or internal functionalities required for their completion, abstracting the underlying implementation details of each tool.

Related Classes/Methods:

Configuration Manager

Handles the loading, parsing, and management of configuration settings for the entire framework and individual tasks. It ensures that components operate according to specified parameters, supporting a configuration-driven design.

Related Classes/Methods:

File Handler

Provides standardized mechanisms for interacting with the file system. This includes reading and writing test data, configuration files, and potentially storing test results or logs.

Related Classes/Methods:

  • file.py
  • files.py

Registry/Plugin Manager

Implements the Registry Pattern, allowing for dynamic discovery and registration of various components such as tools, task types, or reporters. This central registry enables the framework's extensibility and modularity.

Related Classes/Methods: None

Reporting & Logging

Manages the output of test results, task outcomes, and system events. It provides mechanisms for logging information, warnings, and errors, which are crucial for debugging, analysis, and providing feedback on the execution of tasks.

Related Classes/Methods: None