How to generate PDF from large HTML file for HTML to PDF API in Python and Web API

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import os import time import datetime import requests # pip install requests # The authentication key (API Key). # Get your own by registering at API_KEY = "*************************************" # Base URL for Web API requests BASE_URL = "" # HTML template file_read = open(".\\sample.html", mode='r', encoding= 'utf-8') SampleHtml = file_read.close() # Destination PDF file name DestinationFile = ".\\result.pdf" def main(args = None): GeneratePDFFromHtml(SampleHtml, DestinationFile) def GeneratePDFFromHtml(SampleHtml, destinationFile): """Converts HTML to PDF using Web API""" # Prepare requests params as JSON # See documentation: parameters = {} # Input HTML code to be converted. Required. parameters["html"] = SampleHtml # Name of resulting file parameters["name"] = os.path.basename(destinationFile) # Set to css style margins like 10 px or 5px 5px 5px 5px. parameters["margins"] = "5px 5px 5px 5px" # Can be Letter, A4, A5, A6 or custom size like 200x200 parameters["paperSize"] = "Letter" # Set to Portrait or Landscape. Portrait by default. parameters["orientation"] = "Portrait" # true by default. Set to false to disable printing of background. parameters["printBackground"] = "true" # If large input document, process in async mode by passing true # ! Making Async Request parameters["async"] = "true" # Set to HTML for header to be applied on every page at the header. parameters["header"] = "" # Set to HTML for footer to be applied on every page at the bottom. parameters["footer"] = "" # Prepare URL for 'HTML To PDF' API request url = "{}/pdf/convert/from/html".format( BASE_URL ) # Execute request and get response as JSON response =, 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("%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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