Adobe Document Generation API

Create business-critical documents like invoices, contracts, sales proposals, and work orders automatically.

Integrate the Adobe Document Generation API API with the Python API

Setup the Adobe Document Generation API API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Adobe Document Generation API and Python remarkably fast. Free for developers.

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
Try it

Connect Adobe Document Generation API

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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;
			}
  },
})

Overview of Python

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

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