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codecakes edited this page Sep 3, 2024 · 4 revisions

Table of Content

  1. Philosophy of the Project
  2. Project Structure
  3. Low-Level Design Philosophy and Architecture Patterns
  4. How to Contribute

Philosophy of the Project

The Healthcare Commons Platform aims to bridge the gap between healthcare equity and accessibility. The platform is designed to empower telemedicine companies, public health departments, healthcare nonprofits, and healthtech startups by connecting patients with critical healthcare resources, especially in underserved areas. The project is built with an open-source ethos, allowing for transparency, community contributions, and collaboration, while maintaining the integrity and security required for handling sensitive healthcare data.

Key Principles:

•	Patient-Centric Design: Focuses on creating a seamless and intuitive experience for patients, ensuring that they can easily access healthcare services regardless of their location or socioeconomic status.
•	Modular and Scalable Architecture: Designed to be flexible and scalable, allowing it to grow and adapt to the needs of various healthcare providers and organizations.
•	Open Source and Community-Driven: Encourages contributions from the community, fostering innovation and ensuring that the platform can evolve with the latest technological advancements.
•	Data Privacy and Security: Ensures that all patient data is handled with the utmost care, complying with relevant healthcare regulations and standards.

Project Structure

The project is organized into several key directories, each serving a specific purpose:

•	app/: Contains the core application code, including controllers, services, and API endpoints.
•	domain/: Includes the domain models and business logic, adhering to Domain-Driven Design (DDD) principles.
•	services/: Provides various service classes that handle business logic and interact with external systems or the domain layer.
•	tests/: Contains unit tests and integration tests to ensure the reliability and correctness of the codebase.
•	utils/: Utility functions and helpers that are used across the application.
•	dev.py: Development configuration and utilities for local development and testing.
•	dto.py: Data Transfer Objects (DTOs) used for encapsulating data and ensuring clean communication between different layers of the application.
•	install.sh: Script for setting up the development environment.
•	Makefile: Automation commands for building, testing, and managing the project.
•	pyproject.toml: Contains project metadata, dependencies, and configuration for the Poetry dependency management tool.
•	techstack.md: Documentation of the technology stack used in the project.
•	CONTRIBUTING.md: Guidelines for contributing to the project.
•	README.md: Overview of the project, including setup instructions and basic usage.

Low-Level Design Philosophy and Architecture Patterns

Low-Level Design Philosophy

The low-level design of the Healthcare Commons Platform is guided by the principles of Domain-Driven Design (DDD), which emphasizes the importance of the domain and business logic in software architecture. The project follows a clean and modular architecture, ensuring separation of concerns, testability, and maintainability.

Architecture Patterns

•	Domain-Driven Design (DDD): The core business logic is encapsulated within the domain layer, which includes entities, value objects, and aggregates. This ensures that the business rules are at the forefront and remain decoupled from the infrastructure and application layers.
•	Service Layer Pattern: Business logic that spans multiple domain models or involves complex workflows is encapsulated within service classes, promoting reusability and a clear separation of concerns.
•	Repository Pattern: The project may use repositories to abstract away data access logic, ensuring that the domain layer is not tightly coupled with the underlying data storage mechanism.
•	Dependency Injection: The project leverages dependency injection to manage dependencies between components, improving testability and flexibility.
•	Event-Driven Architecture: Although not explicitly mentioned, the modular nature of the platform allows for future integration of event-driven components to handle complex workflows and asynchronous processing.

  • Domain-Driven Design (DDD)

    • Focuses on the core domain logic
    • Encapsulates business rules within domain models
    • Separates domain logic from infrastructure and application layers

  • Service Layer Pattern

    • Centralizes business logic that spans multiple domain models
    • Promotes reusability and separation of concerns
    • Interacts with both domain and infrastructure layers

  • Repository Pattern

    • Abstracts data access logic
    • Keeps domain models decoupled from the data layer
    • Facilitates testing by allowing mock repositories

  • Dependency Injection

    • Injects dependencies into classes to reduce coupling
    • Improves testability and flexibility of the application
    • Commonly used in service and repository classes

  • Event-Driven Architecture

    • Modular components communicate via events
    • Supports asynchronous processing and complex workflows
    • Not explicitly implemented but could be integrated in the future
graph TD;
    A[Domain-Driven-Design] --> B[Domain Models];
    A --> C[Business Rules];
    A --> D[Separation of Concerns];
    
    E[Service Layer Pattern] --> F[Centralized Business Logic];
    E --> G[Reusability];
    E --> H[Interacts with Domain and Infrastructure];
    
    I[Repository Pattern] --> J[Abstracts Data Access];
    I --> K[Decouples Domain Models];
    I --> L[Facilitates Testing];
    
    M[Dependency Injection] --> N[Reduces Coupling];
    M --> O[Improves Testability];
    M --> P[Common in Service & Repository Classes];
    
    Q[Event-Driven Architecture] --> R[Modular Components];
    Q --> S[Asynchronous Processing];
    Q --> T[Complex Workflows];
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How to Contribute

1. Follow these Steps

See CONTRIBUTING

2. Make Your Changes

Work on the features or bug fixes you want to contribute. Follow the project’s coding standards and ensure your changes are well-tested. Before submitting your changes, run the existing tests and add new ones as necessary:

make test

3. Review Process

Your pull request will be reviewed by the maintainers. Be ready to make revisions based on feedback. Once approved, your changes will be merged into the main codebase.

4. Stay Engaged

After your contribution is merged, continue to engage with the community by participating in discussions, reporting issues, and contributing to future development efforts.

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