Azure Functions
An Azure service that provides an event-driven serverless compute platform.
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So, I am trying to deploy the azure function which uses wkhtmltopdf installed locally to convert html to pdf file. It is been deployed successfully. It is a blob trigger so whenever a html file is uploaded in blob it changes the html file to pdf.
so, the code is:
import logging
import os
import pdfkit
from azure.storage.blob import BlobServiceClient
import azure.functions as func
# Configure logging
logging.basicConfig(level=logging.DEBUG)
# Initialize BlobServiceClient
connection_string = os.getenv('AzureWebJobsStorage')
blob_service_client = BlobServiceClient.from_connection_string(connection_string)
# Function to convert HTML to PDF and upload the result
def convert_html_to_pdf_and_upload(input_blob_name, html_content, output_container_name):
try:
# Specify the path to wkhtmltopdf if necessary
# path_to_wkhtmltopdf = r"C:\Program Files\wkhtmltopdf\bin\wkhtmltopdf.exe" # Adjust this path as necessary
# path_to_wkhtmltopdf = r"C:\Users\Lenovo\Desktop\Avinto\Documents Intelligence\HTML_TO_PDF\bin\wkhtmltopdf.exe"
path_to_wkhtmltopdf = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'bin', 'wkhtmltopdf.exe')
if not os.path.isfile(path_to_wkhtmltopdf):
raise FileNotFoundError(f"No wkhtmltopdf executable found at {path_to_wkhtmltopdf}")
config = pdfkit.configuration(wkhtmltopdf=path_to_wkhtmltopdf)
# Options to handle potential issues
options = {
'no-stop-slow-scripts': None,
'disable-javascript': None,
'load-error-handling': 'ignore',
'load-media-error-handling': 'ignore'
}
# Convert HTML content to PDF
pdf_content = pdfkit.from_string(html_content, False, configuration=config, options=options)
# Generate the output blob name
relative_path = input_blob_name[len("testinput/"):]
base_name = os.path.splitext(relative_path)[0]
output_blob_name = f"{base_name}.pdf"
# Get a blob client for the output blob
output_blob_client = blob_service_client.get_blob_client(container=output_container_name, blob=output_blob_name)
# Upload the PDF content to the output blob
output_blob_client.upload_blob(pdf_content, overwrite=True)
logging.info(f"PDF uploaded to: {output_container_name}/{output_blob_name}")
except Exception as e:
logging.error(f"Failed to convert HTML to PDF for blob {input_blob_name}: {str(e)}")
# Function to copy a file to another container
def copy_blob_to_preprocess(input_blob_name, output_container_name):
try:
# Get a blob client for the input blob
input_blob_client = blob_service_client.get_blob_client(container='testinput', blob=input_blob_name[len("testinput/"):])
blob_content = input_blob_client.download_blob().readall()
# Generate the output blob name
relative_path = input_blob_name[len("testinput/"):]
base_name = os.path.splitext(relative_path)[0]
output_blob_name = f"{base_name}.pdf"
# Get a blob client for the output blob
output_blob_client = blob_service_client.get_blob_client(container=output_container_name, blob=output_blob_name)
# Upload the content to the output blob
output_blob_client.upload_blob(blob_content, overwrite=True)
logging.info(f"Blob copied to: {output_container_name}/{output_blob_name}")
except Exception as e:
logging.error(f"Failed to copy blob {input_blob_name}: {str(e)}")
def main(myblob: func.InputStream):
input_blob_name = myblob.name
logging.info(f"Processing blob: {input_blob_name}")
try:
# Check if the file is in any folder within 'testinput'
if input_blob_name.startswith('testinput/'):
# Check if the file is .html or .htm
if input_blob_name.lower().endswith(('.html', '.htm')):
# Read HTML content from the blob
html_content = myblob.read().decode('utf-8')
# Convert HTML to PDF and upload the result
convert_html_to_pdf_and_upload(input_blob_name, html_content, 'testpreprocess')
elif input_blob_name.lower().endswith('.pdf'):
# Copy PDF file to preprocess container
copy_blob_to_preprocess(input_blob_name, 'testpreprocess')
else:
logging.info(f"Skipping non-HTML, non-PDF file: {input_blob_name}")
else:
logging.info(f"Skipping file not in 'testinput' container: {input_blob_name}")
except Exception as e:
logging.error(f"Failed to process blob {input_blob_name}: {str(e)}")
Give me necessary steps by step procedure to deploy the code.
The project file structure is :
So, can you provide necessary steps to deploy the code. With all explanation
Thank you