# TaskFlow Pro Architecture Document ## Introduction This document outlines the overall project architecture for TaskFlow Pro, focusing on a scalable, resilient, and secure cloud-native system designed to support high concurrency and real-time data processing for 100,000 concurrent users and 1 million total users. ## High-Level Architecture ### Architectural Pattern The system employs a **Microservices with Event-Driven Architecture** pattern. This choice promotes scalability and resilience by decoupling services, allowing them to be developed, deployed, and scaled independently. Communication between services is handled asynchronously via an event bus. ### Core Services - **Task Service:** Manages the AI prioritization engine and all task-related operations. - **Resource Service:** Handles capacity management and predictive resource allocation. - **Analytics Service:** Processes system events to generate real-time metrics for the smart dashboard. - **Integration Service:** Manages data synchronization with external APIs like Slack, Teams, GitHub, and Jira. - **Notification Service:** Delivers multi-channel alerts and updates to users. ### Infrastructure - **Cloud Provider:** AWS, deployed in a multi-region configuration for high availability. - **Orchestration:** Kubernetes (AWS EKS) for container management. - **Data Storage:** PostgreSQL for the primary database, Redis for caching. - **Event Bus:** Apache Kafka for the event-driven backbone. ### Security - **Model:** A zero-trust security model is implemented. - **Communication:** Mutual TLS (mTLS) is enforced for all service-to-service communication. - **Data Protection:** Data is encrypted at rest and in transit. ## Tech Stack This table represents the definitive technology selection for the entire project. All development must adhere to these exact versions. | Category | Technology | Version | Purpose | Rationale | | :----------------------- | :------------------- | :------ | :------------------------------------- | :--------------------------------------------------- | | **Frontend Language** | TypeScript | 5.3.3 | Type-safe frontend development | Strong typing, excellent tooling, and scalability. | | **Frontend Framework** | React | 18.2.0 | Building the user interface | Component-based architecture and vast ecosystem. | | **UI Component Library** | Material-UI | 5.15.0 | Pre-built, customizable UI components | Speeds up development with consistent design. | | **State Management** | Redux Toolkit | 2.0.1 | Centralized state management | Predictable state container for complex UIs. | | **Backend Language** | Node.js | 20.11.0 | Server-side logic | JavaScript ecosystem, non-blocking I/O. | | **Backend Framework** | Express | 4.18.2 | Web application framework for Node.js | Minimalist and flexible for building APIs. | | **API Style** | REST + GraphQL | - | API for frontend-backend communication | REST for standard CRUD, GraphQL for complex queries. | | **Database** | PostgreSQL | 16.1 | Primary relational data store | ACID compliance, reliability, and JSON support. | | **Cache** | Redis | 7.2.4 | In-memory data store for caching | High-performance caching and session storage. | | **File Storage** | AWS S3 | - | Scalable object storage | Durable, highly available storage for assets. | | **Authentication** | Auth0 | - | Identity and access management | Secure, scalable, and easy-to-implement auth. | | **Frontend Testing** | Jest & RTL | 29.7.0 | Unit and component testing | Industry standard for testing React apps. | | **Backend Testing** | Jest & Supertest | 29.7.0 | API and integration testing | Testing HTTP assertions for backend services. | | **E2E Testing** | Cypress | 13.6.3 | End-to-end testing | Reliable, fast, and easy-to-debug E2E tests. | | **Build Tool** | Webpack | 5.89.0 | Module bundler for JavaScript apps | Bundles assets for production deployment. | | **IaC Tool** | Terraform | 1.7.4 | Infrastructure as Code | Manages cloud resources declaratively. | | **CI/CD** | GitHub Actions | - | Continuous integration and deployment | Automates build, test, and deploy pipelines. | | **Monitoring** | Prometheus & Grafana | - | System monitoring and visualization | Open-source standard for metrics and alerting. | | **Logging** | ELK Stack | - | Centralized logging and analysis | Elasticsearch, Logstash, and Kibana for logs. | ## Data Models This section defines the core data models for TaskFlow Pro. ### User **Purpose:** Represents an authenticated user in the system. **Key Attributes:** - `id`: string - Unique identifier - `email`: string - User's email address - `name`: string - User's full name - `role`: enum - User's role (`Admin`, `Manager`, `Member`) **TypeScript Interface:** ```typescript interface User { id: string; email: string; name: string; role: "Admin" | "Manager" | "Member"; createdAt: Date; updatedAt: Date; } ``` ### Project **Purpose:** Represents a project containing tasks and resources. **Key Attributes:** - `id`: string - Unique identifier - `name`: string - Project name - `description`: string - Project description - `ownerId`: string - ID of the user who owns the project **TypeScript Interface:** ```typescript interface Project { id: string; name: string; description: string; ownerId: string; createdAt: Date; updatedAt: Date; } ``` ### Task **Purpose:** Represents a single task within a project. **Key Attributes:** - `id`: string - Unique identifier - `projectId`: string - ID of the project this task belongs to - `title`: string - Task title - `description`: string - Task details - `status`: enum - Current status (`ToDo`, `InProgress`, `Done`) - `priority`: number - AI-calculated priority score - `assigneeId`: string - ID of the user assigned to the task **TypeScript Interface:** ```typescript interface Task { id: string; projectId: string; title: string; description: string; status: "ToDo" | "InProgress" | "Done"; priority: number; assigneeId?: string; createdAt: Date; updatedAt: Date; } ``` ### Resource **Purpose:** Represents a team member's availability and workload for resource management. **Key Attributes:** - `id`: string - Unique identifier - `userId`: string - ID of the user this resource represents - `capacity`: number - Total work capacity per week (in hours) - `workload`: number - Current assigned workload (in hours) **TypeScript Interface:** ```typescript interface Resource { id: string; userId: string; capacity: number; workload: number; updatedAt: Date; } ``` ## REST API Spec This specification outlines the RESTful API for TaskFlow Pro. A GraphQL endpoint will also be available for more complex data queries. ```yaml openapi: 3.0.0 info: title: TaskFlow Pro API version: 1.0.0 description: API for managing projects, tasks, and resources in TaskFlow Pro. servers: - url: /api/v1 description: API Server paths: /projects: get: summary: List all projects responses: "200": description: A list of projects. post: summary: Create a new project responses: "201": description: Project created successfully. /projects/{projectId}: get: summary: Get a project by ID parameters: - name: projectId in: path required: true schema: type: string responses: "200": description: A single project. /projects/{projectId}/tasks: get: summary: List tasks for a project parameters: - name: projectId in: path required: true schema: type: string responses: "200": description: A list of tasks for the specified project. post: summary: Create a new task in a project parameters: - name: projectId in: path required: true schema: type: string responses: "201": description: Task created successfully. /tasks/{taskId}: get: summary: Get a task by ID parameters: - name: taskId in: path required: true schema: type: string responses: "200": description: A single task. put: summary: Update a task parameters: - name: taskId in: path required: true schema: type: string responses: "200": description: Task updated successfully. ``` ## Components This section describes the major logical components (microservices) of the TaskFlow Pro system. ### Frontend Application - **Responsibility:** Provides the user interface for interacting with TaskFlow Pro. - **Key Interfaces:** Consumes the REST and GraphQL APIs. - **Dependencies:** API Gateway, Auth0 for authentication. - **Technology Stack:** React, TypeScript, Redux, Material-UI. ### API Gateway - **Responsibility:** Acts as a single entry point for all client requests, routing them to the appropriate microservice. - **Key Interfaces:** Exposes the public REST and GraphQL APIs. - **Dependencies:** All backend microservices. - **Technology Stack:** Managed service (e.g., AWS API Gateway). ### Task Service - **Responsibility:** Manages all aspects of tasks, including creation, updates, and the AI-powered prioritization engine. - **Key Interfaces:** Exposes a private API for the API Gateway, consumes events from Kafka. - **Dependencies:** PostgreSQL Database, Kafka. - **Technology Stack:** Node.js, TypeScript, TensorFlow.js (for local model inference). ### Resource Service - **Responsibility:** Handles resource capacity management and predictive allocation. - **Key Interfaces:** Exposes a private API, consumes events related to task assignments. - **Dependencies:** PostgreSQL Database, Kafka. - **Technology Stack:** Node.js, TypeScript. ### Analytics Service - **Responsibility:** Generates real-time metrics for the smart dashboard by processing system events. - **Key Interfaces:** Consumes events from Kafka, writes aggregated data to a data warehouse. - **Dependencies:** Kafka, PostgreSQL (or a separate analytics database). - **Technology Stack:** Python, Pandas, Kafka Streams. ### Integration Service - **Responsibility:** Manages data synchronization with external tools like Slack, Jira, and GitHub. - **Key Interfaces:** Connects to external APIs, publishes and subscribes to Kafka events. - **Dependencies:** External APIs, Kafka. - **Technology Stack:** Node.js, TypeScript. ## Architect's Checklist - [x] **Scalability:** Architecture supports 100k concurrent users. - [x] **Resilience:** System designed for high availability with multi-region deployment. - [x] **Security:** Zero-trust model with mTLS and encryption is defined. - [x] **Tech Stack:** All technologies and versions are specified and justified. - [x] **Data Models:** Core entities are defined with clear relationships. - [x] **API Spec:** REST endpoints are documented using OpenAPI. - [x] **Componentization:** Microservices have clear responsibilities and dependencies. - [x] **CI/CD:** A modern CI/CD pipeline with GitHub Actions is in place. - [x] **Monitoring:** A robust monitoring and logging stack is defined.