with Unsplash and Google Cloud Document AI?
Get a single page of photo results for a query. See the documentation
The Unsplash API provides programmatic access to a vast library of high-quality, royalty-free images. This enables developers to search for and retrieve photos based on keywords, collections, or featured content. With Pipedream's integration, you can automate tasks like updating social media banners, populating website content with dynamic images, or even analyzing photo metadata for insights. By leveraging Unsplash's API within Pipedream, you can create workflows that trigger on various events, process image data, and interact with countless other apps available on the platform, streamlining your digital asset management and content creation processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
unsplash: {
type: "app",
app: "unsplash",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.unsplash.com/me`,
headers: {
Authorization: `Bearer ${this.unsplash.$auth.oauth_access_token}`,
},
})
},
})
import { DocumentProcessorServiceClient } from '@google-cloud/documentai/build/src/v1/index.js';
import { promises as fs } from 'fs';
import { get } from 'https';
import { writeFile } from 'fs/promises';
import { join } from 'path';
export default defineComponent({
props: {
google_cloud_document_ai: {
type: "app",
app: "google_cloud_document_ai",
}
},
async run({ steps, $ }) {
//Sample pdf file to process by Google Document AI API
const url = 'https://www.learningcontainer.com/wp-content/uploads/2019/09/sample-pdf-file.pdf';
const filePath = join('/tmp', 'my_document.pdf');
const downloadFile = async () => {
const res = await new Promise((resolve) => get(url, resolve));
const chunks = [];
for await (const chunk of res) {
chunks.push(chunk);
}
await writeFile(filePath, Buffer.concat(chunks));
console.log(`File downloaded successfully to ${filePath}`);
};
await downloadFile();
const projectId = this.google_cloud_document_ai.$auth.project_id;
const location = this.google_cloud_document_ai.$auth.location;
const processorId = this.google_cloud_document_ai.$auth.processor_id;
// Instantiates a client
// apiEndpoint regions available: eu-documentai.googleapis.com, us-documentai.googleapis.com (Required if using eu based processor)
// const client = new DocumentProcessorServiceClient({apiEndpoint: 'eu-documentai.googleapis.com'});
const client = new DocumentProcessorServiceClient();
async function testRequest() {
// The full resource name of the processor, e.g.:
// projects/project-id/locations/location/processor/processor-id
// You must create new processors in the Cloud Console first
const name = `projects/${projectId}/locations/${location}/processors/${processorId}`;
// Read the file into memory.
const imageFile = await fs.readFile(filePath);
// Convert the image data to a Buffer and base64 encode it.
const encodedImage = Buffer.from(imageFile).toString('base64');
const request = {
name,
rawDocument: {
content: encodedImage,
mimeType: 'application/pdf',
},
};
// Recognizes text entities in the PDF document
const [result] = await client.processDocument(request);
const { document } = result;
// Get all of the document text as one big string
const { text } = document;
// Extract shards from the text field
const getText = textAnchor => {
if (!textAnchor.textSegments || textAnchor.textSegments.length === 0) {
return '';
}
// First shard in document doesn't have startIndex property
const startIndex = textAnchor.textSegments[0].startIndex || 0;
const endIndex = textAnchor.textSegments[0].endIndex;
return text.substring(startIndex, endIndex);
};
// Read the text recognition output from the processor
const [page1] = document.pages;
const { paragraphs } = page1;
let concatenatedText = "";
for (const paragraph of paragraphs) {
const paragraphText = getText(paragraph.layout.textAnchor);
concatenatedText += paragraphText;
}
return concatenatedText;
}
return await testRequest();
}
})