graph LR
Matplotlib_Backend_Core["Matplotlib Backend Core"]
Image_Rendering_Output["Image Rendering & Output"]
Image_Transformation_Animation["Image Transformation & Animation"]
iTerm2_Display_Protocol["iTerm2 Display Protocol"]
Display_Orchestration["Display Orchestration"]
Configuration_Environment_Handler["Configuration & Environment Handler"]
Matplotlib_Backend_Core -- "triggers" --> Image_Rendering_Output
Image_Rendering_Output -- "provides data to" --> Display_Orchestration
Display_Orchestration -- "requests from" --> Image_Transformation_Animation
Image_Transformation_Animation -- "provides data to" --> Display_Orchestration
Display_Orchestration -- "sends data to" --> iTerm2_Display_Protocol
Configuration_Environment_Handler -- "influences" --> Matplotlib_Backend_Core
Configuration_Environment_Handler -- "influences" --> Image_Rendering_Output
Configuration_Environment_Handler -- "influences" --> Image_Transformation_Animation
Configuration_Environment_Handler -- "influences" --> iTerm2_Display_Protocol
Configuration_Environment_Handler -- "influences" --> Display_Orchestration
click Matplotlib_Backend_Core href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/itermplot/Matplotlib_Backend_Core.md" "Details"
click Image_Rendering_Output href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/itermplot/Image_Rendering_Output.md" "Details"
click Image_Transformation_Animation href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/itermplot/Image_Transformation_Animation.md" "Details"
click Display_Orchestration href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/itermplot/Display_Orchestration.md" "Details"
The itermplot project functions as a specialized Matplotlib backend for iTerm2. The Configuration & Environment Handler initializes the system by reading environment variables, which dictate various operational settings. The Matplotlib Backend Core then leverages these settings to register itself and manage the creation of figure managers and canvases, effectively integrating with Matplotlib's rendering pipeline. Once a figure is ready, the Image Rendering & Output component processes it into a standard image format. This rendered image data is then passed to the Display Orchestration component, which decides whether to display a static image or an animation. For animations or specific image modifications, Display Orchestration interacts with the Image Transformation & Animation component. Finally, all visual output is channeled through the iTerm2 Display Protocol, which encodes the image data into iTerm2-specific escape codes for display in the terminal. This architecture ensures a clear flow from configuration and plot generation to image processing and iTerm2-specific display.
Matplotlib Backend Core [Expand]
Registers itermplot as a Matplotlib backend, managing the creation of new figure managers and canvases to direct Matplotlib's rendering pipeline.
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Image Rendering & Output [Expand]
Responsible for taking a Matplotlib figure and rendering it into a standard image format (e.g., PNG, PDF) before further processing.
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Image Transformation & Animation [Expand]
Handles post-rendering image modifications (e.g., color inversion) and orchestrates animation generation, often leveraging external tools like ImageMagick.
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Encapsulates the logic for encoding image data into iTerm2-specific escape codes (imgcat protocol) and writing them to standard output for display.
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Display Orchestration [Expand]
Acts as the high-level coordinator for displaying plots, determining whether to show a static image or an animation, and managing the display loop.
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Manages the project's operational settings by reading environment variables, influencing various aspects of plot display and behavior.
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