PDeck Developer Overview
Welcome to the PDeck developer documentation. This guide is designed to provide you with the necessary information to start building the Minimum Viable Product (MVP) for PDeck, our AI-powered task management platform.
System Architecture
The following diagram illustrates the high-level architecture of PDeck:
flowchart TD
User([User])
UI[User Interface]
API[API Layer]
subgraph FrontEnd[Front-End Module]
UI --> StateManagement[State Management]
UI --> UIComponents[UI Components]
UI --> NotificationSystem[Notification System]
end
subgraph BackEnd[Back-End Module]
API --> AuthService[Authentication Service]
API --> TaskService[Task Service]
API --> IntegrationService[Integration Service]
API --> NotificationService[Notification Service]
TaskService --> TPE[Task Prioritization Engine]
TaskService --> KGM[Knowledge Graph Module]
IntegrationService --> DIP[Data Integration and Parsing]
subgraph ExternalIntegrations[External Integrations]
DIP --> EmailIntegration[Email Integration]
DIP --> CalendarIntegration[Calendar Integration]
DIP --> TaskMgmtIntegration[Task Management Integration]
DIP --> MeetingAIIntegration[Meeting AI Integration]
end
TPE <--> KGM
TPE --> CL[Change Log]
KGM --> CL
DIP --> TPE
DIP --> KGM
PM[Preference Manager] --> TPE
PM --> NotificationService
AuthService --> Security[Security Module]
end
DB[(Database)]
Cache[(Cache)]
TPE <--> DB
KGM <--> DB
DIP <--> DB
AuthService <--> DB
PM <--> DB
TPE <--> Cache
KGM <--> Cache
API <--> Cache
User <--> UI
UI <--> API
subgraph AsyncProcessing[Asynchronous Processing]
MQ[Message Queue]
WS[WebSocket Server]
BGTasks[Background Tasks]
end
API <--> MQ
MQ <--> BGTasks
WS <--> UI
WS <--> API
class FrontEnd,BackEnd,ExternalIntegrations,AsyncProcessing highlightKey Components
- Front-End Module: Handles user interactions and displays.
- API Layer: Manages communication between front-end and back-end.
- Back-End Module: Core logic and data processing.
- External Integrations: Connects with third-party services.
- Asynchronous Processing: Handles background tasks and real-time updates.
- Database and Cache: Stores and retrieves data efficiently.
Data Flow
The simplified data flow in PDeck is as follows:
flowchart TD
User([User])
UI[User Interface]
API[API Layer]
TPE[Task Prioritization Engine]
DIP[Data Integration and Parsing]
KGM[Knowledge Graph Module]
CL[Change Log/Notification System]
DB[(Database)]
Email[Email Services]
Calendar[Calendar Services]
TaskMgmt[Task Management Tools]
MeetingAI[AI Meeting Assistants]
User <--> UI
UI <--> API
API <--> TPE
API <--> DIP
API <--> CL
DIP <--> Email
DIP <--> Calendar
DIP <--> TaskMgmt
DIP <--> MeetingAI
DIP --> TPE
DIP --> KGM
TPE <--> KGM
TPE <--> DB
KGM <--> DB
TPE --> CL
CL --> API
subgraph DataProcessing[Data Processing Flow]
direction TB
RawData[1. Raw Data Input] --> ParseData[2. Parse and Normalize Data]
ParseData --> ExtractEntities[3. Extract Entities and Relationships]
ExtractEntities --> UpdateKG[4. Update Knowledge Graph]
UpdateKG --> PrioritizeTasks[5. Prioritize Tasks]
PrioritizeTasks --> GenerateNotifications[6. Generate Notifications]
GenerateNotifications --> UpdateUI[7. Update User Interface]
end
DIP -.-> RawData
ParseData -.-> TPE
ExtractEntities -.-> KGM
PrioritizeTasks -.-> TPE
GenerateNotifications -.-> CL
UpdateUI -.-> API
classDef highlight fill:#f9f,stroke:#333,stroke-width:2px;
class Email,Calendar,TaskMgmt,MeetingAI highlight;
class DataProcessing highlight;Next Steps
Explore the following sections for detailed information on each component:
- API Layer
- Back-End Services
- Data Integration and Parsing
- Task Prioritization Engine
- Knowledge Graph Module
- External Integrations
- Asynchronous Processing
- Database and Caching
- Front-End Development
Each section provides specific implementation details, guidelines, and best practices for developing the PDeck MVP.