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The Coding Verse Documentation

website·Indexed 30 days ago

https://docs.thecodingverse.be/

Educational resources covering web frameworks, ICT architecture, and Python. Includes guides on Angular 20 (Signals, component communication, and routing), Python (Flask, type hinting, decorators, and Pytest), and software architecture (C4 model, MVC, modular monoliths, and Docker Swarm orchestration).

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What's inside The Coding Verse

  1. Introduction to Angular Signals

    Angular Signals provide a way to make state explicit. Unlike the traditional Zone.js model—which triggers global change detection upon asynchronous events—Signals allow Angular to track exactly where a value is read. This enables the framework to update only the specific parts of the UI that depend on a changed value, resulting in more targeted change detection and a simpler mental model for developers.

  2. Overview of Angular core features

    Angular is an open-source front-end framework by Google written in TypeScript. Modern versions (v16+) introduced several key architectural improvements:

    • Standalone Components: Components that can exist independently, reducing the need for boilerplate module code.
    • New Template Syntax: Use of @if and @for for conditional rendering and looping.
    • Signals: A modern reactivity model that automatically and efficiently updates the UI when data changes.

  3. Understand the four dimensions of software architecture

    Software architecture is analyzed and designed across four primary dimensions:

    1. Architectural Characteristics: Also known as the "ilities" (e.g., scalability, reliability, maintainability). These define non-functional requirements—how the system works rather than what it does.
    2. Architectural Decisions: High-impact choices made during design that constrain the system's build and maintenance (e.g., "Use an SQL database" or "All communication must be asynchronous").
    3. Logical Components: The functional building blocks of the system based on functional requirements (e.g., User Management, Payments, Notifications).
    4. Architectural Styles: The general blueprint for the system. Common styles include Monolithic (one large block) and Microservices (small independent services). The choice of style is driven by the characteristics and decisions.

  4. Implement a Microkernel architecture for plugin extensibility

    A Microkernel architecture consists of a minimal core (the kernel) that contains only the essential common functionality and defines the interfaces that plugins must implement. This allows third parties to add new functionality (e.g., support for new hardware devices) without modifying the core codebase, ensuring the core remains stable and lightweight.

    Key components include:

    • Kernel (Core): The minimal set of functions and the plugin interface definition.
    • Plugins: Implementation files that adhere to the core interface, accompanied by a manifest file (e.g., manifest.json) that describes the plugin to the core.
    • Registry: A component within the core that scans for plugins (typically by looking for manifest files in a specific directory) and registers them at startup.
    src
├── core
│   ├── device_manager.py
│   ├── device_registry.py
│   └── event_bus.py
└── plugins
    └── px1000
        ├── manifest.json
        └── px1000.py

  5. Apply the First Law of Software Architecture

    The First Law of Software Architecture states: 'Everything is a trade-off'. Every architectural decision involves a compromise between competing goals. For example, increasing security may decrease ease of use, or increasing scalability may increase system complexity. Architects must consciously evaluate these trade-offs to align the system with the specific needs of the project and the team.

  6. Visualize software architecture using the C4 Model

    The C4 model provides four levels of abstraction to visualize software architecture, moving from a high-level overview to low-level technical detail. Additionally, a Deployment Diagram can be used to visualize the physical architecture (infrastructure) rather than the logical architecture.

    C4 Abstraction Levels

    • Context Diagram: The highest level. Visualizes the system as a single unit and its interactions with external actors (users, other systems).
    • Container Diagram: Visualizes the high-level technical building blocks (containers) and their interactions. A 'container' is a deployable unit, such as a web application, a database, a serverless function, or a physical machine (not limited to Docker/Kubernetes).
    • Component Diagram: (Details truncated in source) Visualizes the components within a container.
    • Code Diagram: (Details truncated in source) The lowest level of abstraction.

  7. Evaluate Microkernel architecture trade-offs

    When deciding to use a Microkernel architecture, consider the following pros and cons:

    Advantages:

    • High flexibility and extensibility.
    • Users/third-parties can add their own functionality.
    • The core remains stable, lightweight, and isolated from plugin failures.

    Disadvantages:

    • Increased overall software complexity.
    • Security risks when allowing third-party plugins.
    • The kernel must maintain backward compatibility for legacy plugins during upgrades.
    • Development speed can slow down due to the dependency on plugin interfaces.

  8. Choose a physical deployment strategy for Layered Architecture

    Depending on the project size and requirements, a layered architecture can be deployed in three primary physical configurations:

    1. Single Codebase: Both presentation and backend layers are in one codebase and deployed as one application. Simple, but risks becoming 'spaghetti code' if responsibilities aren't strictly separated.
    2. Separate Presentation Codebase: The presentation layer (e.g., a mobile app or SPA) is in a separate codebase and communicates with the backend via network protocols like HTTP or gRPC. This allows independent scaling and team specialization but introduces network overhead.
    3. Single Codebase including Database: The database (e.g., SQLite or a text file) is embedded within the application codebase. This eliminates communication overhead but reduces flexibility and prevents the use of distributed databases.

  9. Map functional requirements to architectural components

    To define or refine the architecture, assign each functional requirement to a specific logical component. If a requirement cannot be mapped to any existing component, it indicates the need for a new component. This process is known as the evolution of the architecture.
    RequirementComponent
    Show current trip being auctionedLiveAuctionSession
    Mark trip as sold and move to nextLiveAuctionSession
    Send online bids to auctioneer immediatelyBidCapture
    Record live video stream for disputesVideoStreamer
    Allow bidders to view trip detailsTripViewer

  10. Apply the Layered Architectural Style

    The layered style uses technical partitioning and monolithic deployment. Components are organized into layers, each with a specific responsibility. Communication is restricted: layers only interact with the layers directly above or below them. This style is effective for achieving 'separation of concerns' and is suitable for projects requiring a balance between simplicity and future extensibility.

  11. Create a plugin manifest and registry for automatic discovery

    To enable automatic discovery of plugins, the core uses a registry that scans a designated plugins folder for manifest files. The manifest provides metadata about the plugin, while the implementation file contains the logic that satisfies the core's interface.

    Example manifest structure (manifest.json):

    • domain: Unique identifier for the plugin.
    • name: Human-readable name.
    • version: Version string.
    {
    "domain": "px1000",
    "name": "PX-1000 Smart Bulb",
    "version": "1.0.0"
}
    import json
import os

class DeviceRegistry:
    def __init__(self, plugins_dir):
        self.devices = {}
        self._discover_plugins(plugins_dir)

    def _discover_plugins(self, plugins_dir):
        for plugin_name in os.listdir(plugins_dir):
            manifest_path = os.path.join(plugins_dir, plugin_name, "manifest.json")
            if os.path.exists(manifest_path):
                with open(manifest_path) as f:
                    manifest = json.load(f)
                self.devices[manifest["domain"]] = manifest

    def get_device(self, domain):
        return self.devices.get(domain)

  12. Apply the Law of Demeter to reduce component coupling

    The Law of Demeter (or 'principle of least knowledge') is a software architecture guideline used to limit coupling between components. It dictates that a component should only communicate with its direct neighbors ('friends') and not with 'friends of friends' or strangers.

    Reducing the knowledge a single component has about others prevents high coupling in a single area, which reduces the risk of a 'chain reaction' where a change in one component's interface or behavior forces changes in many others.