技能 产品商业 Juicebox人脉搜索API模式

Juicebox人脉搜索API模式

v20260423
juicebox-sdk-patterns
本模块提供了一套生产级的Juicebox人脉搜索API集成模式。它包含了单例客户端、强大的查询构建器(支持地理位置、公司、经历年限等复杂条件),以及完善的错误处理机制(如重试和错误封装)。使用这些模式可以确保应用程序在进行大规模人才搜索和数据丰富化时,具备高可靠性和可扩展性。
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Juicebox SDK Patterns

Overview

Production-ready patterns for the Juicebox AI-powered people search API. Juicebox provides REST endpoints for searching professional profiles and enriching candidate data. The API authenticates via JUICEBOX_API_KEY and returns structured profile objects with LinkedIn URLs as natural dedup keys. A singleton client centralizes rate-limit handling across search and enrich endpoints.

Singleton Client

const JUICEBOX_BASE = 'https://api.juicebox.work/v1';
let _client: JuiceboxClient | null = null;
export function getClient(): JuiceboxClient {
  if (!_client) {
    const apiKey = process.env.JUICEBOX_API_KEY;
    if (!apiKey) throw new Error('JUICEBOX_API_KEY must be set — get it from juicebox.work/settings');
    _client = new JuiceboxClient(apiKey);
  }
  return _client;
}
class JuiceboxClient {
  private headers: Record<string, string>;
  constructor(apiKey: string) { this.headers = { 'Authorization': `Bearer ${apiKey}`, 'Content-Type': 'application/json' }; }
  async search(query: string, limit = 20): Promise<SearchResponse> {
    const res = await fetch(`${JUICEBOX_BASE}/search`, {
      method: 'POST', headers: this.headers, body: JSON.stringify({ query, limit }) });
    if (!res.ok) throw new JuiceboxError(res.status, await res.text()); return res.json();
  }
  async enrich(linkedinUrl: string): Promise<Profile> {
    const res = await fetch(`${JUICEBOX_BASE}/enrich`, {
      method: 'POST', headers: this.headers, body: JSON.stringify({ linkedin_url: linkedinUrl }) });
    if (!res.ok) throw new JuiceboxError(res.status, await res.text()); return res.json();
  }
}

Error Wrapper

export class JuiceboxError extends Error {
  constructor(public status: number, message: string) { super(message); this.name = 'JuiceboxError'; }
}
export async function safeCall<T>(operation: string, fn: () => Promise<T>): Promise<T> {
  try { return await fn(); }
  catch (err: any) {
    if (err instanceof JuiceboxError && err.status === 429) { await new Promise(r => setTimeout(r, 5000)); return fn(); }
    if (err instanceof JuiceboxError && err.status === 401) throw new JuiceboxError(401, 'Invalid JUICEBOX_API_KEY');
    throw new JuiceboxError(err.status ?? 0, `${operation} failed: ${err.message}`);
  }
}

Request Builder

class JuiceboxSearchBuilder {
  private body: Record<string, any> = {};
  query(q: string) { this.body.query = q; return this; }
  limit(n: number) { this.body.limit = Math.min(n, 100); return this; }
  location(loc: string) { this.body.location = loc; return this; }
  title(t: string) { this.body.title_filter = t; return this; }
  company(c: string) { this.body.company_filter = c; return this; }
  yearsExp(min: number, max: number) { this.body.years_experience = { min, max }; return this; }
  build() { return this.body; }
}
// Usage: new JuiceboxSearchBuilder().query('ML engineer').location('San Francisco').yearsExp(3, 8).build();

Response Types

interface Profile {
  id: string; name: string; title: string; company: string;
  linkedin_url: string; location: string; skills: string[]; experience_years: number;
}
interface SearchResponse {
  profiles: Profile[]; total: number; has_more: boolean; cursor?: string;
}
interface EnrichResult {
  profile: Profile; education: Array<{ school: string; degree: string; year: number }>;
  experience: Array<{ company: string; title: string; start: string; end: string | null }>;
}

Testing Utilities

export function mockProfile(overrides: Partial<Profile> = {}): Profile {
  return { id: 'prof-001', name: 'Jane Smith', title: 'Senior ML Engineer',
    company: 'Acme Corp', linkedin_url: 'https://linkedin.com/in/janesmith',
    location: 'San Francisco, CA', skills: ['Python', 'PyTorch', 'MLOps'],
    experience_years: 6, ...overrides };
}
export function mockSearchResponse(count = 3): SearchResponse {
  return { profiles: Array.from({ length: count }, (_, i) => mockProfile({ id: `prof-${i}` })),
    total: count, has_more: false };
}

Error Handling

Pattern When to Use Example
safeCall wrapper All Juicebox API calls Structured error with operation context
Retry on 429 Batch search pipelines 5s backoff before retry
LinkedIn dedup Multi-query search Set<string> on linkedin_url prevents duplicates
Cursor pagination Search results > 100 Pass cursor from previous response

Resources

Next Steps

Apply patterns in juicebox-core-workflow-a.

信息
Category 产品商业
Name juicebox-sdk-patterns
版本 v20260423
大小 6.29KB
更新时间 2026-04-28
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