Stop Guessing. Build Your Supply Chain Automation on Verifiable Coordinate Proof.

// Direct API Call (Server-side only - keep API key secure)
const formData = new FormData();
formData.append('document', bolFile);
formData.append('processor_id', 'your-bol-processor-uuid');

const response = await fetch('/api/extract', {
  method: 'POST',
  headers: { 'X-API-Key': process.env.NINJADOC_API_KEY },
  body: formData
});

const job = await response.json();
console.log('Job started:', job.id);

// The full production workflow: Submit BoL -> Poll for Data -> Verify with Coordinates
async function processBoL(bolFile, processorId) {
  try {
    // 1. Submit the bill of lading and get a job ID
    const formData = new FormData();
    formData.append('document', bolFile);
    formData.append('processor_id', processorId);

    const submitResponse = await fetch('/api/extract', {
      method: 'POST',
      headers: { 'X-API-Key': process.env.NINJADOC_API_KEY },
      body: formData
    });
    if (!submitResponse.ok) throw new Error(`Submit failed: ${submitResponse.status}`);
    const job = await submitResponse.json();

    // 2. Poll for completion until status is final (with exponential backoff)
    let result;
    let pollInterval = 2000;
    const maxInterval = 30000;
    do {
      await new Promise(resolve => setTimeout(resolve, pollInterval));
      const statusResponse = await fetch(`/api/jobs/${job.id}/status`, {
        headers: { 'X-API-Key': process.env.NINJADOC_API_KEY }
      });
      if (!statusResponse.ok) throw new Error(`Status check failed: ${statusResponse.status}`);
      result = await statusResponse.json();

      // Exponential backoff with jitter
      pollInterval = Math.min(pollInterval * 1.5 + Math.random() * 1000, maxInterval);
    } while (['queued', 'processing'].includes(result.status));

    if (result.status !== 'completed') throw new Error(`BoL processing failed: ${result.status}`);

    // 3. Extract and structure the data for your logistics system
    // API Response format for each field: { field_name, value, coordinates: [[x,y], ...] }
    const extractedData = result.data.reduce((acc, f) => {
      acc[f.field_name] = { value: f.value, coordinates: f.coordinates };
      return acc;
    }, {});

    // You can now use this data for tracking, customs clearance, or verification UI
    if (!extractedData.shipment_number?.value || !extractedData.cargo_description?.value) {
      // Flag this BoL for manual review
      throw new Error('Missing critical data for shipment processing');
    }
    return { success: true, data: extractedData };
  } catch (error) {
    console.error('BoL processing failed:', error);
    return { success: false, error: error.message };
  }
}