ByteScout Cloud API Server - PDF Merging API - Python - Merge PDF Documents From Uploaded Files Asynchronously - ByteScout

ByteScout Cloud API Server – PDF Merging API – Python – Merge PDF Documents From Uploaded Files Asynchronously

  • Home
  • /
  • Articles
  • /
  • ByteScout Cloud API Server – PDF Merging API – Python – Merge PDF Documents From Uploaded Files Asynchronously

How to merge PDF documents from uploaded files asynchronously for PDF merging API in Python with ByteScout Cloud API Server

Follow this simple tutorial to learn merge PDF documents from uploaded files asynchronously to have PDF merging API in Python

Writing of the code to merge PDF documents from uploaded files asynchronously in Python can be done by developers of any level using ByteScout Cloud API Server. ByteScout Cloud API Server was designed to assist PDF merging API in Python. ByteScout Cloud API Server is the ready to deploy Web API Server that can be deployed in less than thirty minutes into your own in-house Windows server (no Internet connnection is required to process data!) or into private cloud server. Can store data on in-house local server based storage or in Amazon AWS S3 bucket. Processing data solely on the server using built-in ByteScout powered engine, no cloud services are used to process your data!.

This simple and easy to understand sample source code in Python for ByteScout Cloud API Server contains different functions and options you should do calling the API to implement PDF merging API. Follow the tutorial and copy – paste code for Python into your project’s code editor. Easy to understand tutorials are available along with installed ByteScout Cloud API Server if you’d like to learn more about the topic and the details of the API.

ByteScout Cloud API Server – free trial version is available on our website. Also, there are other code samples to help you with your Python application included into trial version.

On-demand (REST Web API) version:
 Web API (on-demand version)

On-premise offline SDK for Windows:
 60 Day Free Trial (on-premise)

MergePDFDocumentsFromUploadedFileAsynchronously.py
      
""" Cloud API asynchronous "PDF To Text" job example. Allows to avoid timeout errors when processing huge or scanned PDF documents. """ import os import requests # pip install requests import time import datetime # Please NOTE: In this sample we're assuming Cloud Api Server is hosted at "https://localhost". # If it's not then please replace this with with your hosting url. # Base URL for PDF.co Web API requests BASE_URL = "https://localhost" # Source PDF files SourceFile_1 = ".\\sample1.pdf" SourceFile_2 = ".\\sample2.pdf" # Destination PDF file name DestinationFile = ".\\result.pdf" # (!) Make asynchronous job Async = True def main(args = None): UploadedFileUrl_1 = uploadFile(SourceFile_1) UploadedFileUrl_2 = uploadFile(SourceFile_2) if (UploadedFileUrl_1 != None and UploadedFileUrl_2!= None): uploadedFileUrls = "{},{}".format(UploadedFileUrl_1, UploadedFileUrl_2) mergeFiles(uploadedFileUrls, DestinationFile) def mergeFiles(uploadedFileUrls, destinationFile): """Perform Merge using PDF.co Web API""" # Prepare URL for 'Merge PDF' API request url = "{}/pdf/merge?async={}&name={}&url={}".format( BASE_URL, Async, os.path.basename(destinationFile), uploadedFileUrls ) # Execute request and get response as JSON response = requests.get(url, headers={ "content-type": "application/octet-stream" }) if (response.status_code == 200): json = response.json() if json["error"] == False: # Asynchronous job ID jobId = json["jobId"] # URL of the result file resultFileUrl = json["url"] # Check the job status in a loop. # If you don't want to pause the main thread you can rework the code # to use a separate thread for the status checking and completion. while True: status = checkJobStatus(jobId) # Possible statuses: "working", "failed", "aborted", "success". # Display timestamp and status (for demo purposes) print(datetime.datetime.now().strftime("%H:%M.%S") + ": " + status) if status == "success": # Download result file r = requests.get(resultFileUrl, stream=True) if (r.status_code == 200): with open(destinationFile, 'wb') as file: for chunk in r: file.write(chunk) print(f"Result file saved as \"{destinationFile}\" file.") else: print(f"Request error: {response.status_code} {response.reason}") break elif status == "working": # Pause for a few seconds time.sleep(3) else: print(status) break else: # Show service reported error print(json["message"]) else: print(f"Request error: {response.status_code} {response.reason}") def checkJobStatus(jobId): """Checks server job status""" url = f"{BASE_URL}/job/check?jobid={jobId}" response = requests.get(url) if (response.status_code == 200): json = response.json() return json["status"] else: print(f"Request error: {response.status_code} {response.reason}") return None def uploadFile(fileName): """Uploads file to the cloud""" # 1. RETRIEVE PRESIGNED URL TO UPLOAD FILE. # Prepare URL for 'Get Presigned URL' API request url = "{}/file/upload/get-presigned-url?contenttype=application/octet-stream&name={}".format( BASE_URL, os.path.basename(fileName)) # Execute request and get response as JSON response = requests.get(url) if (response.status_code == 200): json = response.json() if json["error"] == False: # URL to use for file upload uploadUrl = json["presignedUrl"] # URL for future reference uploadedFileUrl = json["url"] # 2. UPLOAD FILE TO CLOUD. with open(fileName, 'rb') as file: requests.put(uploadUrl, data=file, headers={ "content-type": "application/octet-stream" }) return uploadedFileUrl else: # Show service reported error print(json["message"]) else: print(f"Request error: {response.status_code} {response.reason}") return None if __name__ == '__main__': main()

ON-PREMISE OFFLINE SDK

60 Day Free Trial or Visit ByteScout Cloud API Server Home Page

Explore ByteScout Cloud API Server Documentation

Explore Samples

Sign Up for ByteScout Cloud API Server Online Training

ON-DEMAND REST WEB API

Get Your API Key

Explore Web API Docs

Explore Web API Samples

VIDEO

ON-PREMISE OFFLINE SDK

60 Day Free Trial or Visit ByteScout Cloud API Server Home Page

Explore ByteScout Cloud API Server Documentation

Explore Samples

Sign Up for ByteScout Cloud API Server Online Training

ON-DEMAND REST WEB API

Get Your API Key

Explore Web API Docs

Explore Web API Samples

Tutorials:

prev
next