import { generateVideo } from '@tanstack/ai'
import { openaiVideo } from '@tanstack/ai-openai'

// Create a video adapter (uses OPENAI_API_KEY from environment)
const adapter = openaiVideo()

// Start a video generation job
const { jobId, model } = await generateVideo({
  adapter: openaiVideo('sora-2'),
  prompt: 'A golden retriever puppy playing in a field of sunflowers',
})

console.log('Job started:', jobId)

import { getVideoJobStatus } from '@tanstack/ai'

// Check the status of the job
const status = await getVideoJobStatus({
  adapter: openaiVideo('sora-2'),
  jobId,
})

console.log('Status:', status.status) // 'pending' | 'processing' | 'completed' | 'failed'
console.log('Progress:', status.progress) // 0-100 (if available)

if (status.status === 'failed') {
  console.error('Error:', status.error)
}

import { getVideoJobStatus } from '@tanstack/ai'

// Only call this after status is 'completed'
const result = await getVideoJobStatus({
  adapter: openaiVideo('sora-2'),
  jobId,
})

if (result.status === 'completed' && result.url) {
  console.log('Video URL:', result.url)
  console.log('Expires at:', result.expiresAt)
}

import { generateVideo, getVideoJobStatus } from '@tanstack/ai'
import { openaiVideo } from '@tanstack/ai-openai'

async function generateVideo(prompt: string) {
  const adapter = openaiVideo()

  // 1. Create the job
  const { jobId } = await generateVideo({
    adapter: openaiVideo('sora-2'),
    prompt,
    size: '1280x720',
    duration: 8, // 4, 8, or 12 seconds
  })

  console.log('Job created:', jobId)

  // 2. Poll for completion
  let status = 'pending'
  while (status !== 'completed' && status !== 'failed') {
    // Wait 5 seconds between polls
    await new Promise((resolve) => setTimeout(resolve, 5000))

    const result = await getVideoJobStatus({
      adapter: openaiVideo('sora-2'),
      jobId,
    })

    status = result.status
    console.log(`Status: ${status}${result.progress ? ` (${result.progress}%)` : ''}`)

    if (result.status === 'failed') {
      throw new Error(result.error || 'Video generation failed')
    }
  }

  // 3. Get the video URL
  const result = await getVideoJobStatus({
    adapter: openaiVideo('sora-2'),
    jobId,
  })

  if (result.status === 'completed' && result.url) {
    return result.url
  }

  throw new Error('Video generation failed or URL not available')
}

// Usage
const videoUrl = await generateVideo('A cat playing piano in a jazz bar')
console.log('Video ready:', videoUrl)

const { jobId } = await generateVideo({
  adapter: openaiVideo('sora-2'),
  prompt: 'A beautiful sunset over the ocean',
  size: '1280x720',      // '1280x720', '720x1280', '1792x1024', '1024x1792'
  duration: 8,           // 4, 8, or 12 seconds
  modelOptions: {
    size: '1280x720',    // Alternative way to specify size
    seconds: 8,          // Alternative way to specify duration
  }
})

interface VideoJobResult {
  jobId: string    // Unique job identifier for polling
  model: string    // Model used for generation
}

interface VideoStatusResult {
  jobId: string
  status: 'pending' | 'processing' | 'completed' | 'failed'
  progress?: number  // 0-100, if available
  error?: string     // Error message if failed
}

interface VideoUrlResult {
  jobId: string
  url: string        // URL to download/stream the video
  expiresAt?: Date   // When the URL expires
}

try {
  const { jobId } = await generateVideo({
    adapter: openaiVideo('sora-2'),
    prompt: 'A scene',
  })

  // Poll for status...
  const status = await getVideoJobStatus({
    adapter: openaiVideo('sora-2'),
    jobId,
  })

  if (status.status === 'failed') {
    console.error('Generation failed:', status.error)
    // Handle failure (e.g., retry, notify user)
  }
} catch (error) {
  if (error.message.includes('Video generation API is not available')) {
    console.error('Sora API access may be required. Check your OpenAI account.')
  } else if (error.message.includes('rate limit')) {
    console.error('Rate limited. Please wait before trying again.')
  } else {
    console.error('Unexpected error:', error)
  }
}

import { createOpenaiVideo } from '@tanstack/ai-openai'

const adapter = createOpenaiVideo('your-openai-api-key')