Скачать или смотреть Creating PlantUML diagrams in VS Insiders from Python Flask Example Book app with Copilot AI

A RESTful API service built with Flask for managing a book collection. This application demonstrates best practices in API development, comprehensive documentation, and proper project structure.

Learn how to create PlantUML diagrams in Visual Studio Code Insiders using Microsoft Copilot AI! Join us in this in-depth tutorial where we create a RESTful Flask Book API from scratch and generate comprehensive PlantUML diagrams.

This tutorial walks you through building a Flask-based Book API from scratch, complete with RESTful endpoints, in-memory storage, and comprehensive documentation.

Explore the project structure, set up the environment, and generate detailed UML diagrams (class, sequence, component, and more) to visualize the architecture. Perfect for developers looking to master API development and documentation with Flask and PlantUML!

Perfect for developers and students interested in API development, software architecture documentation, and leveraging AI tools for efficient coding and visualization. This video walks you through setting up a professional Flask project, writing clean Python code, and creating a variety of UML diagrams to document the architecture—all with the help of Copilot’s intelligent suggestions Agent.

📚 What You’ll Learn:

Flask API Development: Build a fully functional Book API with RESTful endpoints (GET, POST, PUT, DELETE) for managing a book collection, using Flask 3.0.0, Flask-RESTful, and Marshmallow for data validation.

Project Setup: Structure a modular Flask project with clear separation of concerns, including app/, docs/, and tests/ directories, and manage dependencies with requirements.txt.

PlantUML Integration: Create 11 types of UML diagrams (Class, Component, Sequence, Use Case, Activity, State, Package, Deployment, Timing, ArchiMate, and Application) using PlantUML in VS Code Insiders to visualize the API’s architecture and workflows.

AI-Powered Coding: We use Microsoft Copilot and Cloud 3.5 Sontet AI model to generate sample code, suggest improvements, and streamline the creation of PlantUML scripts for accurate documentation.

Testing & Documentation: Write tests with Pytest and document the project with a detailed README.md and architecture diagrams in the docs/ folder.

Best Practices: Follow industry-standard practices for API design, modular code organization, and comprehensive documentation.

💻 Project Highlights:

API Endpoints: Manage books with endpoints like GET /api/books, POST /api/books, and more, with clear JSON responses (e.g., 200 OK, 201 Created, 204 No Content).

In-Memory Storage: Store book data (ID, title, author, year published) in memory for simplicity and learning purposes.

UML Diagrams: Visualize the API’s structure and behavior with diagrams like:
Class Diagram: Relationships between Book, BookResource, and Flask components. Sequence Diagram: Flow of API operations (e.g., creating a book).

Deployment Diagram: Architecture of the Flask app in a production-like environment. VS Code Insiders Setup: Configure the PlantUML extension and preview diagrams in real-time, with Copilot assisting in writing .plantuml files.

🛠 Tools & Requirements:
Python 3.8+
Flask 3.0.0
Flask-RESTful 0.3.10
Marshmallow 3.20.1
Pytest 7.4.3
Visual Studio Code Insiders with the PlantUML extension
Microsoft Copilot for AI-assisted coding and GitHub Account
Virtual environment setup for dependency management

These libraries enable the project to generate high-quality diagrams and export them to various formats, including PDF.

🔗 Resources:

GitHub Repository:
https://github.com/pavledakic/PlantUM...

Installation

1. Clone the repository
2. Create and activate a virtual environment:
cmd
python -m venv venv
venv\Scripts\activate

3. Install dependencies:
cmd
pip install -r requirements.txt
winget install GraphViz

4. Verify system requirements:
cmd
java -version
dot -V

Example diagram config for PDF Export

@startuml example-diagram
!pragma layout smetana
!pragma useVerticalISOLines on
skinparam shadowing false

skinparam {
defaultFontSize 14
dpi 1200
nodeBackgroundColor #F0F0F0
databaseBackgroundColor #E0E0FF
BackgroundColor transparent
ArrowColor black
BorderColor black
shadowing false
}

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The thumbnail was generated by Grok, an AI created by xAI.

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