Schema 版本迁移指南

v1.3.0（旧版）
├── cells[]
│   └── image_data (Object)
│       ├── image_url
│       └── mime_type

v1.3.1（新版）
├── cells[]
│   └── image_datas[] (Array)
│       └── [0..N]
│           ├── image_url
│           └── mime_type

# 如果你的代码这样写，说明使用的是 v1.3.0
cell_image = cell.get('image_data')
if cell_image:
    url = cell_image['image_url']

import requests

response = requests.post(
    'https://api.textin.com/ocr/parse',
    json={
        'file_url': 'https://example.com/document.pdf',
        'schema_version': '1.3.0'  # 指定版本
    }
)

result = response.json()

def extract_cell_images(cell, schema_version='1.3.1'):
    """从单元格中提取所有图片 URL"""
    if schema_version == '1.3.1':
        image_datas = cell.get('image_datas', [])
        return [img['image_url'] for img in image_datas]
    
    elif schema_version == '1.3.0':
        image_data = cell.get('image_data')
        if image_data:
            return [image_data['image_url']]
        return []
    
    raise ValueError(f"Unsupported schema_version: {schema_version}")

# 使用示例
response = call_api(schema_version='1.3.1')
for cell in response['cells']:
    images = extract_cell_images(cell, schema_version='1.3.1')
    print(f"单元格 ({cell['row']}, {cell['col']}) 包含 {len(images)} 张图片")

function extractCellImages(cell, schemaVersion = '1.3.1') {
  if (schemaVersion === '1.3.1') {
    return (cell.image_datas || []).map(img => img.image_url);
  }
  
  if (schemaVersion === '1.3.0') {
    return cell.image_data ? [cell.image_data.image_url] : [];
  }
  
  throw new Error(`Unsupported schema_version: ${schemaVersion}`);
}

// 使用示例
const response = await callApi({ schema_version: '1.3.1' });
response.cells.forEach(cell => {
  const images = extractCellImages(cell, '1.3.1');
  console.log(`单元格 (${cell.row}, ${cell.col}) 包含 ${images.length} 张图片`);
});