ByteScout Cloud API Server - PDF Splitting API - Python - Split PDF From Uploaded File Asynchronously - ByteScout

ByteScout Cloud API Server – PDF Splitting API – Python – Split PDF From Uploaded File Asynchronously

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How to split PDF from uploaded file asynchronously for PDF splitting API in Python and ByteScout Cloud API Server

Learn to write code split PDF from uploaded file asynchronously for PDF splitting API in Python: Simple How To Tutorial

This page displays the code samples for programming in Python. ByteScout Cloud API Server helps with PDF splitting 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!.

Python code snippet like this for ByteScout Cloud API Server works best when you need to quickly implement PDF splitting API in your Python application. This sample code in Python is all you need. Just copy-paste it to the code editor, then add a reference to ByteScout Cloud API Server and you are ready to try it! Check Python sample code examples to see if they respond to your needs and requirements for the project.

Trial version of ByteScout is available for free download from our website. This and other source code samples for Python and other programming languages are available.

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SplitPDFFromUploadedFileAsynchronously.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 file SourceFile = ".\\sample.pdf" # Comma-separated list of page numbers (or ranges) to process. Example: '1,3-5,7-'. Pages = "1-2,3-" # (!) Make asynchronous job Async = True def main(args = None): uploadedFileUrl = uploadFile(SourceFile) if (uploadedFileUrl != None): splitPDF(uploadedFileUrl) def splitPDF(uploadedFileUrl): """Split PDF using PDF.co Web API""" # Prepare URL for 'Split PDF' API request url = "{}/pdf/split?async={}&pages={}&url={}".format( BASE_URL, Async, Pages, uploadedFileUrl ) # 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 resultFilePlaceholder = 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": resJsonImgFiles = requests.get(resultFilePlaceholder) # Download generated PNG files part = 1 for resultFileUrl in resJsonImgFiles.json(): # Download Result File r = requests.get(resultFileUrl, stream=True) localFileUrl = f"Page{part}.pdf" if r.status_code == 200: with open(localFileUrl, 'wb') as file: for chunk in r: file.write(chunk) print(f"Result file saved as \"{localFileUrl}\" file.") else: print(f"Request error: {response.status_code} {response.reason}") part = part + 1 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()

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