Adding an interactive diagram representaiton of tods' codebase for exploration

[ivanmilevtues]

Hey, all I've always wanted to contribute to open-source projects. I am a visual learner, so I love doing diagrams for myself as in the beggining I find it hard to wrap my head around the main flow and the main "logical" components.
To help people who like visual represnetations I started working on a project to automate this. The tool generates an interactive diagram starting from the highest level of abstraction and allows you to dive deeper into interesting components.

Here is the diagram:

graph LR
    Data_Ingestion_Validation["Data Ingestion & Validation"]
    Data_Preprocessing["Data Preprocessing"]
    Time_Series_Transformation["Time Series Transformation"]
    Feature_Engineering["Feature Engineering"]
    Anomaly_Detection_Algorithms["Anomaly Detection Algorithms"]
    Post_processing_Calibration["Post-processing & Calibration"]
    Pipeline_Orchestration["Pipeline Orchestration"]
    AutoML_Engine["AutoML Engine"]
    Data_Ingestion_Validation -- "provides raw data to" --> Data_Preprocessing
    Data_Preprocessing -- "provides clean, structured data to" --> Time_Series_Transformation
    Data_Preprocessing -- "provides clean, structured data to" --> Feature_Engineering
    Time_Series_Transformation -- "enhances data for" --> Feature_Engineering
    Feature_Engineering -- "supplies processed features to" --> Anomaly_Detection_Algorithms
    Anomaly_Detection_Algorithms -- "outputs raw detections to" --> Post_processing_Calibration
    Pipeline_Orchestration -- "orchestrates" --> Data_Preprocessing
    Pipeline_Orchestration -- "orchestrates" --> Time_Series_Transformation
    Pipeline_Orchestration -- "orchestrates" --> Feature_Engineering
    Pipeline_Orchestration -- "orchestrates" --> Anomaly_Detection_Algorithms
    Pipeline_Orchestration -- "orchestrates" --> Post_processing_Calibration
    AutoML_Engine -- "optimizes" --> Pipeline_Orchestration
    click Data_Preprocessing href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/tods/Data_Preprocessing.md" "Details"
    click Time_Series_Transformation href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/tods/Time_Series_Transformation.md" "Details"
    click Feature_Engineering href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/tods/Feature_Engineering.md" "Details"
    click Anomaly_Detection_Algorithms href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/tods/Anomaly_Detection_Algorithms.md" "Details"
    click Post_processing_Calibration href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/tods/Post_processing_Calibration.md" "Details"
    click Pipeline_Orchestration href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/tods/Pipeline_Orchestration.md" "Details"
    click AutoML_Engine href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/tods/AutoML_Engine.md" "Details"

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The generation tool is based on Static Analysis and LLMs and is fully open-source: https://github.com/CodeBoarding/CodeBoarding

You can see the full diagram with explanations and related source code here: https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/tods/on_boarding.md

Any feedback is appreciated! If you like it I would be more than happy to open a PR with all the diagrams and a free github action to keep them up-to-date.