Juicebox SDK Patterns

Name: juicebox-sdk-patterns
Rating: 76
Author: vasic-digital

Overview

Production-ready patterns for robust Juicebox integration including error handling, retries, and caching.

Prerequisites

•Juicebox SDK installed
•Understanding of async/await patterns
•Familiarity with dependency injection

Instructions

Step 1: Create Client Wrapper

typescript

// lib/juicebox-client.ts
import { JuiceboxClient, JuiceboxError } from '@juicebox/sdk';

export class JuiceboxService {
  private client: JuiceboxClient;
  private cache: Map<string, { data: any; expires: number }>;

  constructor(apiKey: string) {
    this.client = new JuiceboxClient({
      apiKey,
      timeout: 30000,
      retries: 3
    });
    this.cache = new Map();
  }

  async searchPeople(query: string, options?: SearchOptions) {
    const cacheKey = `search:${query}:${JSON.stringify(options)}`;
    const cached = this.getFromCache(cacheKey);
    if (cached) return cached;

    try {
      const results = await this.client.search.people({
        query,
        ...options
      });
      this.setCache(cacheKey, results, 300000); // 5 min cache
      return results;
    } catch (error) {
      if (error instanceof JuiceboxError) {
        throw this.handleJuiceboxError(error);
      }
      throw error;
    }
  }

  private handleJuiceboxError(error: JuiceboxError) {
    switch (error.code) {
      case 'RATE_LIMITED':
        return new Error(`Rate limited. Retry after ${error.retryAfter}s`);
      case 'INVALID_QUERY':
        return new Error(`Invalid query: ${error.message}`);
      default:
        return error;
    }
  }
}

Step 2: Implement Retry Logic

typescript

// lib/retry.ts
export async function withRetry<T>(
  fn: () => Promise<T>,
  options: { maxRetries: number; backoff: number }
): Promise<T> {
  let lastError: Error;

  for (let i = 0; i < options.maxRetries; i++) {
    try {
      return await fn();
    } catch (error) {
      lastError = error as Error;
      await sleep(options.backoff * Math.pow(2, i));
    }
  }

  throw lastError!;
}

Step 3: Add Observability

typescript

// lib/instrumented-client.ts
export class InstrumentedJuiceboxService extends JuiceboxService {
  async searchPeople(query: string, options?: SearchOptions) {
    const start = Date.now();
    const span = tracer.startSpan('juicebox.search');

    try {
      const results = await super.searchPeople(query, options);
      span.setStatus({ code: SpanStatusCode.OK });
      metrics.histogram('juicebox.search.duration', Date.now() - start);
      return results;
    } catch (error) {
      span.setStatus({ code: SpanStatusCode.ERROR });
      metrics.increment('juicebox.search.errors');
      throw error;
    } finally {
      span.end();
    }
  }
}

Output

•Production-ready client wrapper
•Retry logic with exponential backoff
•Caching layer for performance
•Observability instrumentation

Error Handling

Pattern	Use Case	Benefit
Circuit Breaker	Prevent cascade failures	System resilience
Retry with Backoff	Transient errors	Higher success rate
Cache-Aside	Repeated queries	Lower latency
Bulkhead	Resource isolation	Fault isolation

Examples

Singleton Pattern

typescript

// Ensure single client instance
let instance: JuiceboxService | null = null;

export function getJuiceboxService(): JuiceboxService {
  if (!instance) {
    instance = new JuiceboxService(process.env.JUICEBOX_API_KEY!);
  }
  return instance;
}

Resources

•SDK Best Practices
•Error Handling Guide

Next Steps

Apply these patterns then explore juicebox-core-workflow-a for search workflows.