Get Document Details

{
  "documentId": "e89f1798-8e91-405b-83b2-036987006593",
  "documentName": "Benjamin Gabay - CV",
  "documentType": "cv",
  "documentDate": "11-2025",
  "status": "completed",
  "message": "Document processing completed successfully",

  "summary": "Benjamin Gabay - Sales-marketing Professional based in Paris, FRA with 4 years of experience. Educational background: Bachelor in Philosophy, Literature from University of Paris I: Panthéon-Sorbonne. Technical expertise: Copywriting, Content Creation, Prospecting. Domain experience: Ghostwriting, LinkedIn Coaching, Lead Generation, B2B, Inbound Sales. Most recently specializing in Ghostwriting, LinkedIn Coaching, Lead Generation.",

  "extractedText": "Contact +33766771226\nLinkedIn: www.linkedin.com/in/benjamin-gabay\n\nBenjamin Gabay\nGhostwriter LinkedIn...\n\nEXPERIENCE\nFreelance Ghostwriter & Coach LinkedIn\nJanuary 2023 - Present (2 years)\n...",

  "contact": {
    "firstName": "Benjamin",
    "lastName": "Gabay",
    "email": "benjamin.gabay@example.com",
    "linkedin": "www.linkedin.com/in/benjamin-gabay",
    "location": {
      "city": "Paris",
      "country": "FRA"
    }
  },

  "profile": {
    "domain": "Sales Marketing",
    "specialization": "Content Marketing",
    "seniorityLevel": "Junior",
    "experienceYears": 4,
    "technicalStack": ["Copywriting", "Content Creation", "Prospecting"],
    "industries": ["Real-estate", "Social Media"],
    "recentExpertise": ["Ghostwriting", "LinkedIn Coaching", "Lead Generation"],
    "hasManagement": false
  },

  "attributes": {
    "languages": {
      "french": 1,
      "languages_count": 1,
      "cv_language_detected": "French"
    },
    "technical_skills": {
      "copywriting": 1,
      "content_creation": 1,
      "prospecting_tools": 1,
      "technical_skills_count": 3
    },
    "professional_experience": {
      "total_experience_years": 4,
      "number_of_employers": 3,
      "average_tenure_months": 16,
      "current_position_duration": 4
    },
    "education_indicators": {
      "highest_degree": "Bachelor",
      "education_field": ["Philosophy", "Literature"],
      "first_school_name": "University of Paris I: Panthéon-Sorbonne",
      "education_prestige_score": 3
    },
    "industry_verticals": {
      "real_estate": 1,
      "social_media": 1,
      "verticals_count": 2
    },
    "business_specialization": {
      "roi_analysis": 1,
      "training_experience": 1,
      "revenue_generation_experience": 1,
      "client_relationship_experience": 1
    },
    "performance_impact": {
      "lead_generation_impact": 1,
      "revenue_responsibility": 1,
      "brand_awareness": 1
    },
    "domain_expertise": {
      "b2b_sales_experience": 1,
      "inbound_sales_experience": 1,
      "content_marketing_experience": 1,
      "social_media_marketing_experience": 1
    }
  },

  "processingTime": {
    "milliseconds": 61761,
    "seconds": 62,
    "formatted": "62s"
  },

  "timestamps": {
    "createdAt": "2025-11-05T16:08:54.293Z",
    "updatedAt": "2025-11-05T16:08:54.293Z",
    "lastProcessedAt": "2025-11-05T16:09:56.054Z"
  }
}

async function waitForCompletion(documentId) {
  for (let i = 0; i < 18; i++) { // 90 seconds max
    const res = await fetch(
      `/v1/public/documents/${documentId}`,
      { headers: { 'X-API-Key': 'YOUR_API_KEY' } }
    );
    const data = await res.json();

    if (data.status === 'completed') {
      console.log('✅ Processing complete!');
      console.log('Contact:', data.contact);
      console.log('Profile:', data.profile);
      return data;
    }

    if (data.status === 'failed' || data.status === 'invalid') {
      throw new Error(data.error?.message || 'Processing failed');
    }

    console.log(`⏳ Status: ${data.status} - waiting...`);
    await new Promise(r => setTimeout(r, 5000)); // Wait 5s
  }
  throw new Error('Timeout: Processing took longer than expected');
}

const result = await waitForCompletion('e89f1798-8e91-405b-83b2-036987006593');

const { contact, profile, summary } = await getDocument(documentId);
displayProfile({
  name: `${contact.firstName} ${contact.lastName}`,
  email: contact.email,
  summary: summary,
  experience: profile.experienceYears,
  skills: profile.technicalStack
});

const { attributes } = await getDocument(documentId);
if (attributes.professional_experience.total_experience_years >= 5 &&
    attributes.domain_expertise.b2b_sales_experience) {
  addToShortlist(documentId);
}

const { extractedText } = await getDocument(documentId);
const customData = await analyzeWithLLM(extractedText);