How to convert CSV to PDF from URL asynchronously for CSV to PDF API in Python using PDF.co Web API

Step-by-step tutorial:How to convert CSV to PDF from URL asynchronously to have CSV to PDF API in Python

If you want a quick and easy way to add a required functionality into your application then check this sample source code documentation. PDF.co Web API was designed to assist CSV to PDF API in Python. PDF.co Web API is the flexible Web API that includes full set of functions from e-signature requests to data extraction, OCR, images recognition, pdf splitting and pdf splitting. Can also generate barcodes and read barcodes from images, scans and pdf.

Want to learn quickly? These fast application programming interfaces of PDF.co Web API for Python plus the instruction and the code below will help to learn how to convert CSV to PDF from URL asynchronously. This sample code in Python is all you need. Just copy-paste it to the code editor, then add a reference to PDF.co Web API and you are ready to try it! This basic programming language sample code for Python will do the whole work for you in implementing CSV to PDF API in your app.

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ConvertCsvToPdfFromUrlAsynchronously.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 # The authentication key (API Key). # Get your own by registering at https://app.pdf.co/documentation/api API_KEY = "******************************************" # Base URL for PDF.co Web API requests BASE_URL = "https://api.pdf.co/v1" # Direct URL of source CSV file. SourceFileURL = "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/csv-to-pdf/sample.csv" # Destination PDF file name DestinationFile = ".\\result.pdf" # (!) Make asynchronous job Async = True def main(args = None): convertCsvToPDF(SourceFileURL, DestinationFile) def convertCsvToPDF(uploadedFileUrl, destinationFile): """Converts CSV To PDF using PDF.co Web API""" # Prepare requests params as JSON # See documentation: https://apidocs.pdf.co parameters = {} parameters["async"] = Async parameters["name"] = os.path.basename(destinationFile) parameters["url"] = uploadedFileUrl # Prepare URL for 'CSV To PDF' API request url = "{}/pdf/convert/from/csv".format(BASE_URL) # Execute request and get response as JSON response = requests.post(url, data=parameters, headers={ "x-api-key": API_KEY }) 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, headers={ "x-api-key": API_KEY }) 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()

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