![]() execute()) print('Message Id: %s' % to_send) except Exception as e: print('An error occurred', e) main = Main() service = rvice to = ' sender = '' user_id = ' subject = 'Automated Report mail' message_text = 'Hi,\n\n This report has been generated automatically for a demo purpose.\n \nRegards, \nSender Signature.' attachment='path_to/report. class CreateAndSend: def _init_(self,service, to, sender, user_id, subject, message_text,attachment): message = MIMEMultipart() message = to message = sender message = message = subject body = MIMEText(message_text) message.attach(body) with open(attachment, "rb") as f: attach = MIMEApplication(f.read(),_subtype="pdf") attach.add_header('Content-Disposition', 'attachment', filename=str(attachment)) message.attach(attach) to_send = #print(message) try: to_send = (ers().messages().send(userId=user_id, body=to_send). It will generate a token.pickle file on your systemĬreating And Sending Mail : The required “email” Library has been imported above already. if not self.creds or not : if self.creds and and _token: (Request()) else: flow = om_client_secrets_file( 'path_to/credentials.json', SCOPES) self.creds = n_local_server(port=0) # Save the credentials for the next run with open('credentials/token.pickle', 'wb') as token: pickle.dump(self.creds, token) rvice = build('gmail', 'v1', credentials=self.creds) Don’t change the code, Its satisfactory, - Just change the directory if required.īelow code will log you in for the first time and will generate a token.pickle file for verification class Main: def _init_(self): self.creds = None if os.path.exists('path_to/token.pickle'): with open('path_to/token.pickle', 'rb') as token: self.creds = pickle.load(token) # If there are no (valid)credentials available letuserlog in. Main authentication Class :- this will create a token.pickle file when run first time. Import (install if not available) mail libraries :- # Local Libraries import base64 from import MIMEText from import MIMEApplication from import MIMEMultipart Start Importing with google API libraries :- from _future_ import print_function import pickle import os.path from googleapiclient.discovery import build from google_auth_oauthlib.flow import InstalledAppFlow from import Request Pip install -upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib Run the command in terminal → for “Python3”, try “pip3” instead Here is the code for calling the PDFMark HTML to PDF REST API in PythonĬonn = ("")Ĭonn.It is advised to keep credentials.json in seperate folder PDFMark will even upload it to cloud and give you a CDN link so you can simply serve that link to your end users without having to worry about saving the document yourself. It’s a very flexible tool, used widely in Python web applications to generate HTML for users. In short, it lets you automatically generate text documents by programmatically filling in placeholder values that you assign to text file templates. We at PDFMark have done the hard work of managing the headless Chrome and wrapped it into an easy to use REST API so you can simply call the API from your Python code and pass in the HTML or a URL and get it converted to a PDF document. Jinja2 is a great tool to become familiar with, especially if you do web development in Python. You can focus on creating the data for the PDF you want and leave the rest to our API. You don't have to learn a new styling language to get the out put you want. Another benefit of generating PDF documents from HTML is that you can style the document using your familiar CSS framework. Chrome has inbuilt capability to convert any HTML page to PDF. Nothing can render HTML better than a browser and nothing beats Chrome when it comes to rendering HTML. While PDFKit provides many options to generate PDF documents, Headless Chrome is the best way to convert raw HTML and CSS to PDF. PDFKit is a Python wrapper to the wkhtmltopdf utility to convert HTML to PDF. PDFKit is a widely used solution for converting HTML to PDF in Python. Let us show you how to convert HTML to PDF in Python.
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