技能 编程开发 Adobe核心API快速上手指南

Adobe核心API快速上手指南

v20260423
adobe-hello-world
本教程提供了Adobe核心API的最小化工作示例,涵盖了Firefly AI图像生成、PDF内容提取和Photoshop背景移除三大功能。适用于开发人员快速上手Adobe集成,测试API连接,或学习基础的API调用模式。
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概览

Adobe Hello World

Overview

Three minimal working examples covering Adobe's core API surfaces: Firefly AI image generation, PDF content extraction, and Photoshop background removal.

Prerequisites

  • Completed adobe-install-auth setup
  • Valid OAuth Server-to-Server credentials
  • Node.js 18+ with @adobe/firefly-apis or @adobe/pdfservices-node-sdk installed

Instructions

Example 1: Firefly Text-to-Image Generation

// hello-firefly.ts
import 'dotenv/config';
import { getAdobeAccessToken } from './adobe/auth';

async function generateImage() {
  const token = await getAdobeAccessToken();

  const response = await fetch(
    'https://firefly-api.adobe.io/v3/images/generate',
    {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${token}`,
        'x-api-key': process.env.ADOBE_CLIENT_ID!,
        'Content-Type': 'application/json',
      },
      body: JSON.stringify({
        prompt: 'A futuristic cityscape at sunset with flying cars',
        n: 1,              // number of images
        size: {
          width: 1024,
          height: 1024,
        },
        contentClass: 'art', // "art" or "photo"
      }),
    }
  );

  if (!response.ok) {
    throw new Error(`Firefly API error: ${response.status} ${await response.text()}`);
  }

  const result = await response.json();
  console.log('Generated image URL:', result.outputs[0].image.url);
  return result;
}

generateImage().catch(console.error);

Example 2: PDF Text Extraction

// hello-pdf.ts
import {
  ServicePrincipalCredentials,
  PDFServices,
  MimeType,
  ExtractPDFParams,
  ExtractElementType,
  ExtractPDFJob,
  ExtractPDFResult,
} from '@adobe/pdfservices-node-sdk';
import * as fs from 'fs';

async function extractPDF() {
  const credentials = new ServicePrincipalCredentials({
    clientId: process.env.ADOBE_CLIENT_ID!,
    clientSecret: process.env.ADOBE_CLIENT_SECRET!,
  });

  const pdfServices = new PDFServices({ credentials });

  // Upload the PDF
  const inputStream = fs.createReadStream('./sample.pdf');
  const inputAsset = await pdfServices.upload({
    readStream: inputStream,
    mimeType: MimeType.PDF,
  });

  // Configure extraction (text + tables)
  const params = new ExtractPDFParams({
    elementsToExtract: [ExtractElementType.TEXT, ExtractElementType.TABLES],
  });

  // Run extraction job
  const job = new ExtractPDFJob({ inputAsset, params });
  const pollingURL = await pdfServices.submit({ job });
  const result = await pdfServices.getJobResult({
    pollingURL,
    resultType: ExtractPDFResult,
  });

  // Download result ZIP containing structuredData.json
  const resultAsset = result.result!.resource;
  const streamAsset = await pdfServices.getContent({ asset: resultAsset });
  const outputStream = fs.createWriteStream('./extracted-output.zip');
  streamAsset.readStream.pipe(outputStream);

  console.log('Extraction complete: ./extracted-output.zip');
}

extractPDF().catch(console.error);

Example 3: Photoshop Remove Background

// hello-photoshop.ts
import 'dotenv/config';
import { getAdobeAccessToken } from './adobe/auth';

async function removeBackground() {
  const token = await getAdobeAccessToken();

  // Input/output must be pre-signed URLs (S3, Azure Blob, Dropbox)
  const response = await fetch(
    'https://image.adobe.io/sensei/cutout',
    {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${token}`,
        'x-api-key': process.env.ADOBE_CLIENT_ID!,
        'Content-Type': 'application/json',
      },
      body: JSON.stringify({
        input: {
          href: 'https://your-bucket.s3.amazonaws.com/input-photo.jpg',
          storage: 'external',
        },
        output: {
          href: 'https://your-bucket.s3.amazonaws.com/output-cutout.png',
          storage: 'external',
          type: 'image/png',
        },
      }),
    }
  );

  const result = await response.json();
  console.log('Job status URL:', result._links.self.href);

  // Poll for completion
  let status = result;
  while (status.status !== 'succeeded' && status.status !== 'failed') {
    await new Promise(r => setTimeout(r, 2000));
    const poll = await fetch(status._links.self.href, {
      headers: {
        'Authorization': `Bearer ${token}`,
        'x-api-key': process.env.ADOBE_CLIENT_ID!,
      },
    });
    status = await poll.json();
  }

  console.log('Background removal:', status.status);
}

removeBackground().catch(console.error);

Output

  • Generated AI image URL from Firefly API
  • Extracted PDF text/tables in structured JSON format
  • Background-removed PNG from Photoshop API

Error Handling

ErrorCauseSolution
403 ForbiddenMissing API entitlementEnable the API in Developer Console project
400 Bad Request on FireflyInvalid prompt or parametersCheck content policy; prompts cannot request trademarks or people
invalid_content_type on PDFWrong MimeTypeEnsure input is actually a PDF, not a renamed file
InputValidationError on PhotoshopInvalid storage URLUse pre-signed URLs with read/write permissions
429 Too Many RequestsRate limit exceededImplement backoff; see adobe-rate-limits

Resources

Next Steps

Proceed to adobe-local-dev-loop for development workflow setup.

信息
分类 编程开发
名称 adobe-hello-world
版本 v20260423
大小 6.17KB
更新时间 2026-04-26
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