ByteScout Cloud API Server – Image To PDF API – Python – Convert Images To PDF From URLs Asynchronously

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ByteScout Cloud API Server – Image To PDF API – Python – Convert Images To PDF From URLs Asynchronously

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ByteScout-Cloud-API-Server-Python-Convert-Images-To-PDF-From-URLs-Asynchronously.pdf

How to convert images to PDF from urls asynchronously for image to PDF API in Python and ByteScout Cloud API Server

Learn to write code convert images to PDF from urls asynchronously for image to PDF API in Python: Simple How To Tutorial

Writing of the code to convert images to PDF from urls asynchronously in Python can be done by developers of any level using ByteScout Cloud API Server. ByteScout Cloud API Server helps with image to PDF API in Python. ByteScout Cloud API Server is the ready to use Web API Server that can be deployed in less than 30 minutes into your own in-house server 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 buil-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 image to PDF API in your Python application. This Python sample code can be used by copying and pasting into your project. Once done,just compile your project and click Run. This basic programming language sample code for Python will do the whole work for you in implementing image to PDF API in your app.

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.

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ConvertImagesToPdfFromUrlsAsynchronously.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"

# Direct URLs of image files to convert to PDF document
SourceFiles = [
    "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/image-to-pdf/image1.png",
    "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/image-to-pdf/image2.jpg"
]
# Destination PDF file name
DestinationFile = ".\\result.pdf"
# (!) Make asynchronous job
Async = True


def main(args = None):
    SourceFileURL = ",".join(SourceFiles)
    convertImageToPDF(SourceFileURL, DestinationFile)


def convertImageToPDF(uploadedFileUrl, destinationFile):
    """Converts Image To PDF using PDF.co Web API"""

    # Prepare URL for 'Image To PDF' API request
    url = "{}/pdf/convert/from/image?async={}&name={}&url={}".format(
        BASE_URL,
        Async,
        os.path.basename(destinationFile),
        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
            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

if __name__ == '__main__':
    main()