156 lines
3.3 KiB
ReStructuredText
156 lines
3.3 KiB
ReStructuredText
System Architecture
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==================
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This section provides a comprehensive overview of the AI-Writer system architecture, including component interactions, data flow, and design patterns.
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.. toctree::
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:maxdepth: 2
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:caption: Architecture Documentation:
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overview
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components
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database_schema
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api_design
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security
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Architecture Overview
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-------------------
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.. include:: overview.rst
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Component Diagram
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---------------
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.. image:: diagrams/high_level_architecture.png
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:alt: AI-Writer High-Level Architecture Diagram
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:width: 800px
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.. image:: diagrams/database_architecture.png
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:alt: AI-Writer Database Architecture Diagram
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:width: 800px
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.. image:: diagrams/content_generation_workflow.png
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:alt: AI-Writer Content Generation Workflow Diagram
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:width: 800px
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Key Components
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------------
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The AI-Writer platform consists of several key components:
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1. **User Interface Layer**
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* Streamlit-based web interface
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* Component-based UI architecture
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* Responsive design for multiple devices
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2. **Application Layer**
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* Content generation modules
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* AI provider integrations
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* Research and analysis tools
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* Analytics and reporting
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3. **Data Layer**
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* Relational database (SQLite/PostgreSQL)
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* Vector database (ChromaDB)
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* File storage for generated content
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4. **Integration Layer**
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* API endpoints for external integration
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* Authentication and authorization
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* Rate limiting and caching
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Component Interactions
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--------------------
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The components interact through well-defined interfaces:
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1. **UI to Application Layer**
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* Event-driven interaction
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* State management through Streamlit session state
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* Asynchronous processing for long-running tasks
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2. **Application to Data Layer**
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* Repository pattern for data access
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* Transaction management
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* Connection pooling
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3. **Application to External Services**
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* API client abstractions
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* Retry mechanisms
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* Circuit breakers for fault tolerance
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Data Flow
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--------
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The typical data flow in the system:
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1. User submits content generation request through UI
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2. Application layer validates and processes the request
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3. AI provider is called to generate content
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4. Generated content is stored in the database
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5. Content is returned to the UI for display and editing
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6. Analytics data is collected and stored
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Deployment Architecture
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---------------------
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AI-Writer supports multiple deployment models:
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1. **Single-User Deployment**
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* Local installation
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* SQLite database
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* Local file storage
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2. **Multi-User Deployment**
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* Docker-based deployment
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* PostgreSQL database
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* Shared file storage
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* Load balancing
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3. **Cloud Deployment**
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* Kubernetes orchestration
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* Cloud database services
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* Object storage
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* Auto-scaling
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Technology Stack
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--------------
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The AI-Writer platform is built on the following technologies:
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1. **Frontend**
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* Streamlit
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* HTML/CSS/JavaScript
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* Plotly for visualizations
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2. **Backend**
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* Python 3.9+
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* FastAPI for API endpoints
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* SQLAlchemy for ORM
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* ChromaDB for vector storage
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3. **AI and ML**
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* OpenAI GPT models
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* Google Gemini
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* Hugging Face transformers
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* Sentence transformers for embeddings
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4. **Infrastructure**
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* Docker
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* Docker Compose
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* Kubernetes (for cloud deployment)
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* GitHub Actions for CI/CD |