\chapter{Architecture}
\label{chap:architecture}

\section{Introduction}
\label{sec:chap3:intro}

This chapter explores our project's architectural foundation, which acts as the solution's structural blueprint. With ChatGPT's help, we hope to create a dependable and expandable architecture that unifies the Django Python backend and the Figma plugin frontend, enabling the creation of user interfaces from project specifications.

\section{Overall System Architecture}
\label{sec:chap3:overalsysarch}

As illustrated in Figure \ref{fig:chap3:clientserver} our system follows a client-server architecture, where Django Python powers the server and the TypeScript and React-developed Figma plugin acts as the client. The architecture facilitates a distinct division of responsibilities, allowing the frontend and backend components to function separately and communicate fluidly to achieve our project's goals.

\begin{figure}[h]
\centering
\includesvg[width=.9\linewidth]{images/client-server-diagram.svg}
\caption{Client-server architecture}
\label{fig:chap3:clientserver}
\end{figure}



\section{Client-Side Architecture: Figma Plugin}
\label{sec:chap3:client}

The Figma plugin functions as the frontend element of our architecture, seamlessly integrating with the Figma environment to offer designers a seamless user experience. Based on the concepts of modularity, extensibility, and reusability, the plugin's architecture makes use of TypeScript and React to produce an engaging and dynamic user interface.

\subsection{Component-Based Design}
\label{subsec:chap3:componentdesign}

The user interface of the plugin is divided into reusable parts that each contain particular features and actions. With its easy expansion and maintenance, this modular design facilitates the gradual addition of new features and improvements.

\subsection{State Management}
\label{subsec:chap3:statemanagement}

Maintaining the Figma plugin's state is essential to making sure the user experience is responsive and seamless. User input, UI interactions, and asynchronous activities are managed by the application state using state management frameworks like Redux or React Context API. This facilitates fluid data flow and interaction by allowing the plugin to keep a consistent state across many components and panels.

\subsection{Event-Driven Architecture}
\label{subsec:chap3:eventdrivendesign}

The plugin has an event-driven design, meaning that events are handled by event listeners in response to user inputs. This makes it possible for interactive and responsive behavior, guaranteeing a seamless user experience in the Figma environment.

\subsection{Integration with Figma API}
\label{subsec:chap3:figmaapi}

To access project data, modify UI elements, and engage with the Figma environment, the Figma plugin tightly interacts with the Figma API. When interacting with Figma documents, the Figma API offers a wide range of activities, such as obtaining project descriptions, generating and editing layers, and initiating UI modifications. The plugin uses libraries like axios or fetch to make API calls in order to interact with the Figma API through HTTP queries.


\section{Server-Side Architecture: Django Python Backend}
\label{sec:chap3:djangoserver}

The server-side part of our design is the Django Python backend, which handles requests from the Figma plugin and uses ChatGPT to coordinate the UI development process. Leveraging the powerful features of the Django framework, the backend architecture is developed with scalability, stability, and maintainability in mind.

\subsection{RESTful API Design}
\label{subsec:chap3:restfulapi}

A RESTful API defined by the backend can be used to handle different tasks like collecting project descriptions, starting UI generation, and sending generated UI designs back to the Figma plugin. To maintain uniformity, readability, and simplicity of use, the API endpoints adhere to RESTful standards for resource name, HTTP method usage, and request/response formats.

\subsection{Request Handling and Routing}
\label{subsec:chap3:routing}

Using URL patterns and view functions, incoming requests from the Figma plugin are forwarded to the relevant handler methods inside the Django application. These handler routines receive the requests, process the data entered, and initiate the appropriate actions (e.g., generating text with ChatGPT).

\subsection{Integration with External Services}
\label{subsec:chap3:integexternal}

To improve its functionality and offer new features, the Django backend connects with outside services like ChatGPT. Through API calls supplied by the other services, this integration is made possible, enabling the backend to utilize ChatGPT's sophisticated AI capabilities for text synthesis based on project descriptions obtained from the Figma plugin.

\subsection{Error Handling and Logging}
\label{subsec:chap3:logging}

To properly manage exceptions, errors, and unforeseen circumstances, the backend has strong error handling and logging features. To aid in troubleshooting and debugging during development and deployment, comprehensive logs are generated and helpful error messages are returned to the Figma plugin in error responses.


\section{Technologies and Frameworks}
\label{sec:chap3:tech}

\begin{itemize}

\item \textbf{TypeScript and React:} used to create the Figma front-end plugin, which offers a cutting-edge and effective framework for creating interactive user interfaces in the Figma environment.

\item \textbf{Django Python:} used in the construction of the backend server, providing a stable and expandable framework for processing HTTP requests, organizing data, and carrying out business logic.


\end{itemize}

\section{Conclusions}
\label{sec:chap3:conclusion}

We have given a thorough rundown of our project's architecture, including client-side and server-side elements, in this chapter. We have established the framework for a scalable, modular, and extendable solution to the problem statement by utilizing a client-server architecture and the powers of TypeScript, React, and Django Python. We will explore the implementation specifics in the upcoming chapter, offering more information on how our architecture is put into effect.


