Version 1.0
This document describes the logical organization of the project and the responsibilities of its primary directories.
The structure has been designed to promote modularity, maintainability and long-term scalability while keeping responsibilities clearly separated.
Rather than organizing files by technical convenience, the project groups components according to their role within the software architecture.
project-root/
├── backend/
├── frontend/
├── docs/
├── docker/
├── scripts/
├── .github/
├── README.md
├── LICENSE
└── .gitignore
Each directory has a specific responsibility and should evolve independently whenever possible.
The backend contains the application's business logic, APIs, processing engines and data access layers.
backend/
├── app/
│
├── api/
├── core/
├── engines/
├── models/
├── repositories/
├── schemas/
├── services/
├── templates/
│
├── tests/
│
├── main.py
└── requirements.txt
Responsible for exposing REST endpoints.
Typical responsibilities:
- Route definitions
- Controllers
- Request validation
- Response serialization
- API versioning
The API layer should never contain business rules.
Contains shared application components.
Examples include:
- Configuration
- Environment settings
- Constants
- Utility functions
- Security components
- Shared abstractions
The Core module provides reusable infrastructure across the project.
The Engines directory contains the platform's processing engines.
Examples include:
- Automation engines
- Business rule execution
- Processing pipelines
- Rendering orchestration
- Future AI engines
Each engine is developed as an independent processing component.
Contains business entities used throughout the application.
Responsibilities include:
- Domain entities
- Database models
- Business representations
Models describe business concepts rather than infrastructure.
Responsible for data persistence.
Responsibilities:
- Database communication
- CRUD operations
- Query abstraction
- Persistence isolation
Repositories isolate storage technologies from business services.
Defines data contracts exchanged by the application.
Examples include:
- Request models
- Response models
- Validation schemas
- Serialization models
Schemas improve consistency across API boundaries.
The Services layer contains the application's business logic.
Responsibilities include:
- Workflow orchestration
- Business validation
- Domain services
- Operational rules
- Service composition
Business rules should remain centralized within this layer.
Contains reusable document and rendering templates.
Examples:
- PDF templates
- Promotional layouts
- Rendering assets
- Future report templates
Template logic remains separated from business logic.
Contains automated tests.
Typical categories include:
- Unit tests
- Integration tests
- API tests
- End-to-end tests
Testing evolves alongside the platform.
The frontend is responsible for the user experience.
Typical responsibilities include:
- User interface
- Navigation
- Authentication flow
- Dashboard visualization
- Client-side validation
- API consumption
The frontend communicates exclusively through public backend APIs.
The documentation directory centralizes all technical documentation.
docs/
├── SYSTEM_ARCHITECTURE.md
├── BUSINESS_VISION.md
├── TECHNOLOGY_STACK.md
├── ENGINEERING_DECISIONS.md
├── API_DESIGN.md
├── PROJECT_STRUCTURE.md
├── ROADMAP.md
└── diagrams/
Documentation is treated as a first-class component of the project.
Every architectural decision should be documented whenever possible.
The Docker directory contains containerization resources.
Typical contents include:
- Dockerfiles
- Docker Compose
- Environment configuration
- Deployment support
Containerization ensures environment consistency.
Contains utility scripts that simplify development tasks.
Examples include:
- Database initialization
- Environment setup
- Maintenance scripts
- Development automation
- Data import utilities
Scripts should automate repetitive development activities whenever possible.
The .github directory contains repository automation.
Examples include:
- GitHub Actions
- CI workflows
- Templates
- Issue configuration
- Pull request templates
Repository automation supports software quality and collaboration.
The project follows several structural principles.
Each directory has a single primary purpose.
Modules should communicate through clear interfaces.
Related components remain grouped together.
Each major subsystem should evolve independently.
Developers should quickly understand where new components belong.
A predictable structure reduces onboarding time and improves maintainability.
The project follows consistent naming conventions.
Examples include:
- snake_case for Python modules
- PascalCase for classes
- camelCase where appropriate in frontend components
- Descriptive directory names
- Explicit service names
Consistency improves readability across the codebase.
As the platform grows, additional modules may be introduced.
Potential future directories include:
analytics/
notifications/
authentication/
integrations/
workers/
monitoring/
ai/
reporting/
The architecture intentionally supports incremental expansion without requiring structural redesign.
Project organization is considered an important part of software engineering.
A well-defined structure improves maintainability, scalability and collaboration while reducing long-term technical debt.
Every new component introduced into the project should respect the organizational principles established by this document to preserve architectural consistency throughout the platform.