Upload CVs

# Upload from public URL (ONE request!)
curl -X POST "https://api.floreal.aiv1/public/documents/upload-from-url" \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://drive.google.com/uc?export=download&id=1niWNOc_FeSjt03vTpwl3TwFvW2KzU0jc",
    "documentName": "John Doe - Software Engineer",
    "documentDate": "11-2025"
  }'

# Check status (poll every 5 seconds)
curl "https://api.floreal.aiv1/public/documents/DOCUMENT_ID" \
  -H "X-API-Key: YOUR_API_KEY"

curl -X POST "https://api.floreal.aiv1/public/documents/upload-direct?documentName=John%20Doe&documentDate=11-2025" \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/pdf" \
  --data-binary @resume.pdf

# Step 1: Get presigned URL
curl -X POST "https://api.floreal.aiv1/public/documents/upload-presigned" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{"fileName":"resume.pdf","contentType":"application/pdf","fileSize":245760}'

# Step 2: Upload to S3
curl -X PUT "PRESIGNED_URL" \
  -H "Content-Type: application/pdf" \
  --data-binary @resume.pdf

# Step 3: Finalize
curl -X POST "https://api.floreal.aiv1/public/documents/upload-presigned-finalize" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{"uploadId":"...","documentName":"John Doe","documentDate":"11-2025"}'

curl -X POST "https://api.floreal.aiv1/public/documents/upload-from-url" \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://drive.google.com/uc?export=download&id=1niWNOc_FeSjt03vTpwl3TwFvW2KzU0jc",
    "documentName": "John Doe - Software Engineer",
    "documentType": "cv",
    "documentDate": "11-2025"
  }'

const response = await fetch(
  'https://api.floreal.aiv1/public/documents/upload-from-url',
  {
    method: 'POST',
    headers: {
      'X-API-Key': 'YOUR_API_KEY',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      url: 'https://drive.google.com/uc?export=download&id=1niWNOc_FeSjt03vTpwl3TwFvW2KzU0jc',
      documentName: 'John Doe - Software Engineer',
      documentType: 'cv',
      documentDate: '11-2025'
    })
  }
);

const { documentId } = await response.json();
console.log('Upload started! Document ID:', documentId);

import requests

response = requests.post(
    'https://api.floreal.aiv1/public/documents/upload-from-url',
    headers={
        'X-API-Key': 'YOUR_API_KEY',
        'Content-Type': 'application/json'
    },
    json={
        'url': 'https://drive.google.com/uc?export=download&id=1niWNOc_FeSjt03vTpwl3TwFvW2KzU0jc',
        'documentName': 'John Doe - Software Engineer',
        'documentType': 'cv',
        'documentDate': '11-2025'
    }
)

document_id = response.json()['documentId']
print(f'Upload started! Document ID: {document_id}')

async function waitForCompletion(documentId) {
  const maxAttempts = 18; // 90 seconds max

for (let i = 0; i < maxAttempts; i++) {
const response = await fetch(
`https://api.floreal.aiv1/public/documents/${documentId}`,
{ headers: { 'X-API-Key': 'YOUR_API_KEY' } }
);

    const data = await response.json();

    if (data.status === 'completed') {
      console.log('✅ Processing complete!');
      return data;
    }

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

    console.log(`⏳ Status: ${data.status} - waiting...`);
    await new Promise(resolve => setTimeout(resolve, 5000));

}

throw new Error('Timeout waiting for processing');
}

const result = await waitForCompletion(documentId);
console.log('Candidate:', result.contact);
console.log('Profile:', result.profile);

import time

def wait_for_completion(document_id):
    max_attempts = 18  # 90 seconds max

    for i in range(max_attempts):
        response = requests.get(
            f'https://api.floreal.aiv1/public/documents/{document_id}',
            headers={'X-API-Key': 'YOUR_API_KEY'}
        )

        data = response.json()

        if data['status'] == 'completed':
            print('✅ Processing complete!')
            return data

        if data['status'] in ['failed', 'invalid']:
            raise Exception(f"Processing failed: {data.get('error', {}).get('message')}")

        print(f"⏳ Status: {data['status']} - waiting...")
        time.sleep(5)

    raise Exception('Timeout waiting for processing')

result = wait_for_completion(document_id)
print('Candidate:', result['contact'])
print('Profile:', result['profile'])