Data Flow¶

Comprehensive guide to data flow patterns in Studio Platform, including data movement, transformation, and processing across the microservices architecture.

📊 Data Flow Overview¶

Data Flow Architecture¶

Studio Platform implements a sophisticated data flow architecture that ensures efficient data movement, transformation, and processing across all services while maintaining data integrity and consistency.

graph TD
    A[Client Applications] --> B[API Gateway]
    B --> C[Frontend Service]
    B --> D[Backend Service]
    B --> E[AI Service]
    B --> F[Document Service]

    C --> G[Client State]
    D --> H[Business Logic]
    E --> I[AI Processing]
    F --> J[File Processing]

    H --> K[PostgreSQL]
    H --> L[Neo4j]
    H --> M[Redis]

    I --> N[Vector Store]
    I --> O[AI Models]

    J --> P[MinIO Storage]
    J --> Q[Processing Queue]

    R[Event Bus] --> S[Event Consumers]
    S --> T[Data Updates]
    T --> U[Database Updates]

Data Flow Patterns¶

Request-Response Flow¶

sequenceDiagram
    participant C as Client
    participant G as API Gateway
    participant S as Service
    participant D as Database

    C->>G: HTTP Request
    G->>S: Forward Request
    S->>D: Database Query
    D-->>S: Query Result
    S-->>G: Response
    G-->>C: HTTP Response

Event-Driven Flow¶

sequenceDiagram
    participant S1 as Service 1
    participant E as Event Bus
    participant S2 as Service 2
    participant S3 as Service 3
    participant D1 as Database 1
    participant D2 as Database 2
    participant D3 as Database 3

    S1->>D1: Update Data
    S1->>E: Publish Event
    E->>S2: Event Notification
    E->>S3: Event Notification
    S2->>D2: Update Data
    S3->>D3: Update Data
    D2-->>S2: Confirmation
    D3-->>S3: Confirmation
    S2-->>E: Acknowledgment
    S3-->>E: Acknowledgment
    E-->>S1: Event Acknowledgment

Hybrid Flow¶

sequenceDiagram
    participant C as Client
    participant G as API Gateway
    participant S1 as Service 1
    participant E as Event Bus
    participant S2 as Service 2
    participant D1 as Database 1
    participant D2 as Database 2

    C->>G: HTTP Request
    G->>S1: Forward Request
    S1->>D1: Database Query
    S1->>E: Publish Event
    E->>S2: Event Notification
    S2->>D2: Update Data
    D1-->>S1: Query Result
    S1-->>G: Response
    G-->>C: HTTP Response

🔄 Request-Response Data Flow¶

HTTP Request Flow¶

Request Processing Pipeline¶

Request Pipeline:

graph TD
    A[Client] --> B[Load Balancer]
    B --> C[API Gateway]
    C --> D[Rate Limiter]
    D --> E[Authentication]
    E --> F[Authorization]
    F --> G[Backend Service]
    G --> H[Business Logic]
    H --> I[Database]
    I --> J[Response Processing]
    J --> K[Response]
    K --> L[Client]

Pipeline Components: - Load Balancer - Distribute incoming requests - API Gateway - Single entry point - Rate Limiter - Rate limiting and throttling - Authentication - User authentication - Authorization - Access control - Backend Service - Business logic processing - Database - Data persistence - Response Processing - Response formatting - Client - Response delivery

Request Data Flow¶

Data Flow Steps: 1. Client Request - HTTP request from client 2. Load Balancing - Request routing to API gateway 3. Rate Limiting - Rate limit checking 4. Authentication - User authentication 5. Authorization - Access control validation 6. Service Routing - Route to appropriate service 7. Business Logic - Business logic processing 8. Database Query - Database operation 9. Response Processing - Response formatting 10. Client Response - Response delivery

Data Transformation:

// Request data transformation
interface RequestData {
  headers: Record<string, string>;
  body: any;
  query: Record<string, string>;
  params: Record<string, string>;
  user?: User;
}

interface ProcessedData {
  headers: Record<string, string>;
  body: any;
  query: Record<string, string>;
  params: Record<string, string>;
  user: User;
  validated: boolean;
  sanitized: boolean;
}

class RequestProcessor {
  async processRequest(request: Request): Promise<ProcessedData> {
    const processedData: ProcessedData = {
      headers: request.headers,
      body: request.body,
      query: request.query,
      params: request.params,
      user: null,
      validated: false,
      sanitized: false,
    };

    // Authentication
    processedData.user = await this.authenticate(processedData);

    // Validation
    processedData.validated = await this.validate(processedData);

    // Sanitization
    processedData.sanitized = await this.sanitize(processedData);

    return processedData;
  }

  private async authenticate(data: ProcessedData): Promise<User> {
    // Authentication logic
    const token = data.headers.authorization;
    if (!token) {
      throw new Error('Authentication required');
    }

    const user = await UserService.verifyToken(token);
    return user;
  }

  private async validate(data: ProcessedData): Promise<boolean> {
    // Validation logic
    const schema = this.getValidationSchema(data);
    const validation = schema.safeParse(data);
    return validation.success;
  }

  private async sanitize(data: ProcessedData): Promise<boolean> {
    // Sanitization logic
    const sanitizedData = this.sanitizeData(data);
    Object.assign(data, sanitizedData);
    return true;
  }
}

Response Data Flow¶

Response Processing Pipeline¶

Response Pipeline:

graph TD
    A[Backend Service] --> B[Data Processing]
    B --> C[Response Formatting]
    C --> D[Cache Check]
    D --> E[Response]
    E --> F[Client]

    B --> G[Database Query]
    B --> H[External API]
    B --> I[Business Logic]

    C --> J[Cache Store]
    C --> K[Response Builder]

    D --> L[Cache Hit]
    D --> M[Cache Miss]

Response Processing:

// Response processing
interface ResponseData {
  success: boolean;
  data?: any;
  error?: {
    code: string;
    message: string;
    details?: any;
  };
  timestamp: string;
  requestId: string;
}

class ResponseProcessor {
  async processResponse(
    data: any,
    request: Request,
    options?: ResponseOptions
  ): Promise<ResponseData> {
    const responseData: ResponseData = {
      success: true,
      data: data,
      timestamp: new Date().toISOString(),
      requestId: request.headers['x-request-id'] || this.generateRequestId(),
    };

    // Cache check
    if (options?.cache) {
      const cached = await this.checkCache(request, options.cache);
      if (cached) {
        return cached;
      }
    }

    // Response formatting
    const formatted = this.formatResponse(responseData);

    // Cache storage
    if (options?.cache) {
      await this.storeCache(request, formatted, options.cache);
    }

    return formatted;
  }

  private formatResponse(data: ResponseData): ResponseData {
    // Response formatting logic
    return {
      ...data,
      data: this.serializeData(data.data),
      error: data.error ? {
        ...data.error,
        details: this.serializeError(data.error.details)
      } : undefined,
    };
  }

  private serializeData(data: any): any {
    // Data serialization
    if (data === null || data === undefined) {
      return data;
    }

    if (typeof data === 'object') {
      return JSON.parse(JSON.stringify(data));
    }

    return data;
  }

  private serializeError(error: any): any {
    // Error serialization
    if (error instanceof Error) {
      return {
        name: error.name,
        message: error.message,
        stack: error.stack,
      };
    }

    return error;
  }

  private async checkCache(request: Request, options: CacheOptions): Promise<ResponseData | null> {
    // Cache check logic
    const cacheKey = this.generateCacheKey(request, options);
    const cached = await CacheService.get(cacheKey);

    if (cached && !this.isExpired(cached, options)) {
      return cached.data;
    }

    return null;
  }

  private async storeCache(request: Request, response: ResponseData, options: CacheOptions): Promise<void> {
    // Cache storage logic
    const cacheKey = this.generateCacheKey(request, options);
    const cacheData = {
      data: response,
      timestamp: new Date().toISOString(),
      ttl: options.ttl,
    };

    await CacheService.set(cacheKey, cacheData, options.ttl);
  }

  private generateCacheKey(request: Request, options: CacheOptions): string {
    // Cache key generation
    const url = request.url;
    const method = request.method;
    const userId = request.user?.id;

    return `${method}:${url}:${userId}:${options.key}`;
  }

  private isExpired(cached: any, options: CacheOptions): boolean {
    // Expiration check
    const now = new Date();
    const cachedTime = new Date(cached.timestamp);
    return (now.getTime() - cachedTime.getTime()) > (options.ttl * 1000);
  }
}

🎯 Event-Driven Data Flow¶

Event System Architecture¶

Event Bus Implementation¶

Event Bus:

graph TD
    A[Event Publisher] --> B[Event Bus]
    B --> C[Event Router]
    C --> D[Event Consumer 1]
    C --> E[Event Consumer 2]
    C --> F[Event Consumer 3]

    B --> G[Event Store]
    G --> H[Event Persistence]
    G --> I[Event Replay]

    J[Event Monitoring] --> B
    J --> K[Event Metrics]
    J --> L[Event Logging]

Event Components: - Event Publisher - Publishes events to event bus - Event Router - Routes events to consumers - Event Consumer - Consumes events from bus - Event Store - Persistent event storage - Event Monitoring - Event monitoring and metrics

Event Publishing¶

Event Publisher:

// Event publisher
interface Event {
  id: string;
  type: string;
  data: any;
  timestamp: string;
  source: string;
  version: string;
  metadata?: Record<string, any>;
}

class EventPublisher {
  private eventBus: EventBus;

  constructor(eventBus: EventBus) {
    this.eventBus = eventBus;
  }

  async publishEvent(event: Event): Promise<void> {
    try {
      // Event validation
      this.validateEvent(event);

      // Event enrichment
      const enrichedEvent = await this.enrichEvent(event);

      // Event publishing
      await this.eventBus.publish(enrichedEvent);

      // Event logging
      this.logEvent(enrichedEvent);

      console.log(`Event published: ${event.type} (${event.id})`);
    } catch (error) {
      console.error('Failed to publish event:', error);
      throw error;
    }
  }

  private validateEvent(event: Event): void {
    if (!event.id) {
      throw new Error('Event ID is required');
    }

    if (!event.type) {
      throw new Error('Event type is required');
    }

    if (!event.timestamp) {
      event.timestamp = new Date().toISOString();
    }

    if (!event.source) {
      event.source = this.getServiceName();
    }

    if (!event.version) {
      event.version = '1.0';
    }
  }

  private async enrichEvent(event: Event): Promise<Event> {
    // Event enrichment
    const enrichedEvent: Event = {
      ...event,
      metadata: {
        ...event.metadata,
        service: this.getServiceName(),
        environment: process.env.NODE_ENV,
        version: process.env.APP_VERSION,
      },
    };

    return enrichedEvent;
  }

  private logEvent(event: Event): void {
    // Event logging
    console.log(`Event: ${event.type}`, {
      id: event.id,
      source: event.source,
      timestamp: event.timestamp,
      data: event.data,
    });
  }

  private getServiceName(): string {
    return process.env.SERVICE_NAME || 'unknown';
  }
}

Event Consumption¶

Event Consumer:

// Event consumer
type EventHandler = (event: Event) => Promise<void>;

class EventConsumer {
  private eventBus: EventBus;
  private handlers: Map<string, EventHandler[]> = new Map();
  private queue: Event[] = [];
  private processing = false;

  constructor(eventBus: EventBus) {
    this.eventBus = eventBus;
  }

  async start(): Promise<void> {
    // Subscribe to events
    await this.eventBus.subscribe('*', this.handleEvent.bind(this));

    // Start processing loop
    this.processing = true;
    this.processEvents();
  }

  async stop(): Promise<void> {
    this.processing = false;
    await this.eventBus.unsubscribe('*', this.handleEvent.bind(this));
  }

  private async handleEvent(event: Event): Promise<void> {
    // Add event to queue
    this.queue.push(event);

    // Trigger processing
    if (!this.processing) {
      this.processEvents();
    }
  }

  private async processEvents(): Promise<void> {
    while (this.processing && this.queue.length > 0) {
      const event = this.queue.shift();

      try {
        await this.processEvent(event);
      } catch (error) {
        console.error(`Failed to process event ${event.type}:`, error);
      }
    }
  }

  private async processEvent(event: Event): Promise<void> {
    const handlers = this.handlers.get(event.type) || [];

    for (const handler of handlers) {
      await handler(event);
    }
  }

  on(eventType: string, handler: EventHandler): void {
    if (!this.handlers.has(eventType)) {
      this.handlers.set(eventType, []);
    }

    this.handlers.get(eventType)!.push(handler);
  }

  off(eventType: string, handler: EventHandler): void {
    const handlers = this.handlers.get(eventType) || [];
    const index = handlers.indexOf(handler);

    if (index > -1) {
      handlers.splice(index, 1);
    }

    if (handlers.length === 0) {
      this.handlers.delete(eventType);
    }
  }
}

Event Types¶

Domain Events¶

User Events:

// User events
interface UserCreatedEvent extends Event {
  data: {
    user: User;
  };
}

interface UserUpdatedEvent extends Event {
  data: {
    user: User;
    changes: Record<string, any>;
  };
}

interface UserDeletedEvent extends Event {
  data: {
    user: User;
  };
}

Project Events:

// Project events
interface ProjectCreatedEvent extends Event {
  data: {
    project: Project;
  };
}

interface ProjectUpdatedEvent extends Event {
  data: {
    project: Project;
    changes: Record<string, any>;
  };
}

interface ProjectDeletedEvent extends Event {
  data: {
    project: Project;
  };
}

Evidence Events:

// Evidence events
interface EvidenceUploadedEvent extends Event {
  data: {
    evidence: Evidence;
  };
}

interface EvidenceReviewedEvent extends Event {
  data: {
    evidence: Evidence;
    review: EvidenceReview;
  };
}

interface EvidenceApprovedEvent extends Event {
  data: {
    evidence: Evidence;
    approver: User;
  };
}

🔄 Data Transformation¶

Data Transformation Patterns¶

Data Mapping¶

Data Mapper:

// Data mapper
interface UserData {
  id: string;
  email: string;
  name: string;
  role: string;
  createdAt: Date;
  updatedAt: Date;
}

interface UserDTO {
  id: string;
  email: string;
  name: string;
  role: string;
  createdAt: string;
  updatedAt: string;
}

class UserMapper {
  static toDTO(user: UserData): UserDTO {
    return {
      id: user.id,
      email: user.email,
      name: user.name,
      role: user.role,
      createdAt: user.createdAt.toISOString(),
      updatedAt: user.updatedAt.toISOString(),
    };
  }

  static fromDTO(dto: UserDTO): UserData {
    return {
      id: dto.id,
      email: dto.email,
      name: dto.name,
      role: dto.role,
      createdAt: new Date(dto.createdAt),
      updatedAt: new Date(dto.updatedAt),
    };
  }
}

Data Validation¶

Data Validator:

// Data validator
import { z } from 'zod';

const UserSchema = z.object({
  id: z.string().uuid(),
  email: z.string().email(),
  name: z.string().min(1).max(255),
  role: z.enum(['super_admin', 'admin', 'manager', 'auditor', 'customer', 'viewer']),
  createdAt: z.date(),
  updatedAt: z.date(),
});

class DataValidator {
  static validateUser(data: any): UserData {
    return UserSchema.parse(data);
  }

  static validateProject(data: any): ProjectData {
    const ProjectSchema = z.object({
      id: z.string().uuid(),
      name: z.string().min(1).max(255),
      description: z.string().optional(),
      framework: z.string(),
      status: z.enum(['active', 'inactive', 'archived']),
      complianceScore: z.number().min(0).max(100),
      createdBy: z.string().uuid().optional(),
      createdAt: z.date(),
      updatedAt: z.date(),
    });

    return ProjectSchema.parse(data);
  }

  static validateEvidence(data: any): EvidenceData {
    const EvidenceSchema = z.object({
      id: z.string().uuid(),
      title: z.string().min(1).max(255),
      description: z.string().optional(),
      fileName: z.string().min(1),
      fileSize: z.number().positive(),
      contentType: z.string(),
      projectId: z.string().uuid(),
      controlId: z.string(),
      uploadedBy: z.string().uuid(),
      qualityScore: z.number().min(0).max(100),
      status: z.enum(['pending', 'in_review', 'approved', 'rejected']),
      uploadedAt: z.date(),
      updatedAt: z.date(),
    });

    return EvidenceSchema.parse(data);
  }
}

Data Serialization¶

Data Serializer:

// Data serializer
class DataSerializer {
  static serialize(data: any): string {
    if (data === null || data === undefined) {
      return 'null';
    }

    if (typeof data === 'object') {
      return JSON.stringify(data, null, 2);
    }

    if (data instanceof Date) {
      return data.toISOString();
    }

    if (typeof data === 'string') {
      return data;
    }

    return String(data);
  }

  static deserialize<T>(data: string): T {
    if (data === 'null') {
      return null as T;
    }

    if (data.startsWith('{') || data.startsWith('[')) {
      return JSON.parse(data) as T;
    }

    if (data.includes('T') && data.includes('Z')) {
      return new Date(data) as T;
    }

    return data as T;
  }

  static serializeArray(data: any[]): string {
    return JSON.stringify(data, null, 2);
  }

  static deserializeArray<T>(data: string): T[] {
    return JSON.parse(data) as T[];
  }
}

📊 Data Storage¶

Data Persistence¶

Database Operations¶

Repository Pattern:

// Repository interface
interface Repository<T> {
  create(data: Partial<T>): Promise<T>;
  findById(id: string): Promise<T | null>;
  findAll(options?: FindOptions): Promise<T[]>;
  update(id: string, data: Partial<T>): Promise<T>;
  delete(id: string): Promise<void>;
  count(options?: CountOptions): Promise<number>;
}

// Repository implementation
class UserRepository implements Repository<User> {
  constructor(private database: Database) {}

  async create(userData: Partial<User>): Promise<User> {
    const user = await this.database.user.create({
      ...userData,
      id: crypto.randomUUID(),
      createdAt: new Date(),
      updatedAt: new Date(),
    });

    return user;
  }

  async findById(id: string): Promise<User | null> {
    const user = await this.database.user.findUnique({
      where: { id },
    });

    return user;
  }

  async findAll(options?: FindOptions): Promise<User[]> {
    const users = await this.database.user.findMany({
      where: options?.where,
      orderBy: options?.orderBy,
      limit: options?.limit,
      offset: options?.offset,
    });

    return users;
  }

  async update(id: string, userData: Partial<User>): Promise<User> {
    const user = await this.database.user.update({
      where: { id },
      data: {
        ...userData,
        updatedAt: new Date(),
      },
    });

    return user;
  }

  async delete(id: string): Promise<void> {
    await this.database.user.delete({
      where: { id },
    });
  }

  async count(options?: CountOptions): Promise<number> {
    const count = await this.database.user.count({
      where: options?.where,
    });

    return count;
  }
}

Cache Operations¶

Cache Service:

// Cache service
interface CacheOptions {
  ttl: number;
  key?: string;
}

class CacheService {
  private cache: Map<string, CacheItem> = new Map();

  async get(key: string): Promise<any> {
    const item = this.cache.get(key);

    if (!item) {
      return null;
    }

    if (this.isExpired(item)) {
      this.cache.delete(key);
      return null;
    }

    return item.data;
  }

  async set(key: string, data: any, options?: CacheOptions): Promise<void> {
    const item: CacheItem = {
      data,
      timestamp: new Date().toISOString(),
      ttl: options?.ttl || 3600,
    };

    this.cache.set(key, item);
  }

  async delete(key: string): Promise<void> {
    this.cache.delete(key);
  }

  async clear(): Promise<void> {
    this.cache.clear();
  }

  private isExpired(item: CacheItem): boolean {
    const now = new Date();
    const cachedTime = new Date(item.timestamp);
    return (now.getTime() - cachedTime.getTime()) > (item.ttl * 1000);
  }

  async cleanup(): Promise<void> {
    const now = new Date();

    for (const [key, item] of this.cache.entries()) {
      if (this.isExpired(item)) {
        this.cache.delete(key);
      }
    }
  }
}

interface CacheItem {
  data: any;
  timestamp: string;
  ttl: number;
}

✅ Data Flow Best Practices¶

Data Flow Best Practices¶

Request-Response Flow¶

Validation - Validate all input data
Sanitization - Sanitize user input
Authentication - Authenticate all requests
Authorization - Authorize all operations
Error Handling - Handle errors gracefully
Logging - Log all data flow operations

Event-Driven Flow¶

Event Design - Design events carefully
Event Validation - Validate all events
Event Idempotency - Make events idempotent
Event Ordering - Ensure event ordering
Event Persistence - Store events for replay
Event Monitoring - Monitor event flow

Common Data Flow Mistakes¶

❌ Avoid These Mistakes: - Not validating input data - Not sanitizing user input - Not handling errors gracefully - Not logging data flow operations - Not implementing proper error handling

✅ Follow These Best Practices: - Validate all input data rigorously - Sanitize all user input - Handle errors gracefully and appropriately - Log all data flow operations - Implement comprehensive error handling

!!! tip Data Validation Always validate and sanitize data at system boundaries. Use schema validation libraries and input sanitization.

!!! note Event Design Design events carefully to ensure they are meaningful, atomic, and contain all necessary context.

!!! question Need Help? Check our Data Flow Support for data flow assistance, or join our developer community.