Render Project

curl --request POST \
  --url 'https://api.pictory.ai/pictoryapis/v2/projects/YOUR_PROJECT_ID/render' \
  --header 'Authorization: YOUR_API_KEY' \
  --header 'accept: application/json' | python -m json.tool

async function waitForVideo(jobId, apiKey) {
  const maxAttempts = 60;
  const pollInterval = 10000; // 10 seconds

  for (let attempt = 0; attempt < maxAttempts; attempt++) {
    const response = await fetch(
      `https://api.pictory.ai/pictoryapis/v1/jobs/${jobId}`,
      { headers: { 'Authorization': apiKey } }
    );

    const data = await response.json();
    const status = data.data.status;

    console.log(`Attempt ${attempt + 1}: Status = ${status}`);

    if (status === 'completed') {
      console.log('Video URL:', data.data.videoURL);
      return data.data;
    }

    if (status === 'failed') {
      throw new Error('Video rendering failed: ' + JSON.stringify(data));
    }

    await new Promise(resolve => setTimeout(resolve, pollInterval));
  }

  throw new Error('Timeout waiting for video to render');
}

// Usage
const projectId = 'your-project-id';
const response = await fetch(
  `https://api.pictory.ai/pictoryapis/v2/projects/${projectId}/render`,
  {
    method: 'POST',
    headers: { 'Authorization': 'YOUR_API_KEY' }
  }
);
const result = await response.json();
const videoResult = await waitForVideo(result.data.jobId, 'YOUR_API_KEY');