with Adobe Document Generation API and Anthropic (Claude)?
import fs from "fs";
import axios from "axios";
import {
ServicePrincipalCredentials,
PDFServices,
MimeType,
DocumentMergeParams,
OutputFormat,
DocumentMergeJob,
DocumentMergeResult
} from "@adobe/pdfservices-node-sdk";
export default defineComponent({
props: {
adobe_document_generation_api: {
type: "app",
app: "adobe_document_generation_api",
}
},
async run({steps, $}) {
// Configuration constants
const PDF_SERVICES_CLIENT_ID = this.adobe_document_generation_api.$auth.client_id;
const PDF_SERVICES_CLIENT_SECRET = this.adobe_document_generation_api.$auth.client_secret;
try {
// Initial setup, create credentials instance
const credentials = new ServicePrincipalCredentials({
clientId: PDF_SERVICES_CLIENT_ID,
clientSecret: PDF_SERVICES_CLIENT_SECRET
});
// Creates a PDF Services instance
const pdfServices = new PDFServices({ credentials });
// Creates an asset(s) from source file(s) and upload
const response = await axios.get("https://developer.adobe.com/document-services/docs/receiptTemplate.docx", { responseType: 'stream' });
const readStream = response.data;
const inputAsset = await pdfServices.upload({
readStream,
mimeType: MimeType.DOCX
});
// Setup input data for the document merge process
const jsonDataForMerge = {
"author": "Gary Lee",
"Company": {
"Name": "Projected",
"Address": "19718 Mandrake Way",
"PhoneNumber": "+1-100000098"
},
"Invoice": {
"Date": "January 15, 2021",
"Number": 123,
"Items": [
{
"item": "Gloves",
"description": "Microwave gloves",
"UnitPrice": 5,
"Quantity": 2,
"Total": 10
},
{
"item": "Bowls",
"description": "Microwave bowls",
"UnitPrice": 10,
"Quantity": 2,
"Total": 20
}
]
},
"Customer": {
"Name": "Collins Candy",
"Address": "315 Dunning Way",
"PhoneNumber": "+1-200000046",
"Email": "cc@abcdef.co.dw"
},
"Tax": 5,
"Shipping": 5,
"clause": {
"overseas": "The shipment might take 5-10 more than informed."
},
"paymentMethod": "Cash"
};
// Create parameters for the job
const params = new DocumentMergeParams({
jsonDataForMerge,
outputFormat: OutputFormat.PDF
});
// Creates a new job instance
const job = new DocumentMergeJob({ inputAsset, params });
// Submit the job and get the job result
const pollingURL = await pdfServices.submit({ job });
const pdfServicesResponse = await pdfServices.getJobResult({
pollingURL,
resultType: DocumentMergeResult
});
// Get content from the resulting asset(s)
const resultAsset = pdfServicesResponse.result.asset;
const streamAsset = await pdfServices.getContent({ asset: resultAsset });
// Creates a write stream and copy stream asset's content to it
const outputFilePath = "/tmp/generatePDFOutput.pdf";
console.log(`Saving asset at ${outputFilePath}`);
return new Promise((resolve, reject) => {
const writeStream = fs.createWriteStream(outputFilePath);
streamAsset.readStream.pipe(writeStream);
writeStream.on('finish', () => resolve(outputFilePath));
writeStream.on('error', reject);
});
} catch(err) {
console.error('Error generating PDF:', err);
throw err;
}
},
})
The Anthropic (Claude) API offers a conversational AI that can be leveraged for a variety of applications, ranging from answering questions to generating content or providing customer support. In Pipedream, you can create powerful workflows that utilize the capabilities of Claude to automate responses, analyze text, or enhance data with AI-generated insights. Pipedream's serverless platform simplifies integrating Claude into your processes with other apps and services for seamless automation.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
anthropic: {
type: "app",
app: "anthropic",
}
},
async run({steps, $}) {
const data = {
"model": "claude-3-haiku-20240307",
"max_tokens": 300,
"messages": [
{"role": "user", "content": "Write me a haiku about Pipedream workflows."}
]
}
return await axios($, {
method: "post",
url: `https://api.anthropic.com/v1/messages`,
headers: {
"x-api-key": `${this.anthropic.$auth.api_key}`,
"anthropic-version": `2023-06-01`,
},
data,
})
},
})