import requests import base64 from bs4 import BeautifulSoup import re import jwt class GmailDataExtractor: def __init__(self,jwt:str , user_input: str = None) -> None: if jwt is None : self.error = "Error" else: self.__jwt = jwt self.__user_input = user_input self.error = None self.__secret_key = 'nkldjlncbamjlklwjeklwu24898h*&#Ujnfjf34893U5HSJFBSKFSHFNSK*$*W_ 3OWU' def __validate_jwt_token(self): try: payload = jwt.decode(self.jwt, self.secret_key, algorithms=["HS256"]) access_token = payload.get("access_token") if access_token: return access_token else: raise ValueError("Invalid JWT token: Missing access token") except jwt.ExpiredSignatureError: raise ValueError("Invalid JWT token: Expired token") except jwt.InvalidTokenError: raise ValueError("Invalid JWT token: Token verification failed") def __fetch_messages(self) -> list: """ Fetches messages from the Gmail API. Args: gmail_url (str): The URL for the Gmail API request. access_token (str): The access token for authenticating with Gmail API. Returns: list: A list of message objects retrieved from the Gmail API. Raises: RuntimeError: If there is an issue while fetching messages from the Gmail API. """ """currently not implementing jwt for testing purposes replace every access_token with jwt function directly which returns the access token""" access_token = self.__jwt print("access token") print(access_token) receipt_query = f"(label:^smartlabel_receipt OR (subject:your AND subject:order) OR subject:receipts OR subject:receipt OR subject:invoice OR subject:invoice))" if self.__user_input is not None: receipt_query = f"(label:^smartlabel_receipt OR (subject:your AND subject:order) OR subject:receipts OR subject:receipt OR subject:invoice OR subject:invoice)) AND subject:{self.__user_input}" gmail_url = f"https://www.googleapis.com/gmail/v1/users/me/messages?q={receipt_query}" def __fetch_page(url): response = requests.get(url, headers={"Authorization": f"Bearer {access_token}"}) response.raise_for_status() # Raise error if the request fails data = response.json() return data.get("messages", []), data.get("nextPageToken") messages = [] page_token = None try: while True: url = f"{gmail_url}&pageToken={page_token}" if page_token else gmail_url page_messages, page_token = __fetch_page(url) messages.extend(page_messages) if not page_token: break except requests.RequestException as e: raise RuntimeError(f"Error fetching messages from Gmail API: {str(e)}") return messages def __fetch_message_data(self, message_id: str) -> dict: """ Fetches message data from the Gmail API. Args: message_id (str): The ID of the message to fetch. Returns: dict: Message data retrieved from the Gmail API. Raises: RuntimeError: If there is an issue while fetching message data from the Gmail API. """ print("fetch_message_data") message_url = f"https://www.googleapis.com/gmail/v1/users/me/messages/{message_id}" try: response = requests.get(message_url, headers={"Authorization": f"Bearer {self.__jwt}"}) response.raise_for_status() # Raise error if the request fails return response.json() except requests.RequestException as e: raise RuntimeError(f"Error fetching message data from Gmail API: {str(e)}") def __fetch_attachment_data(self, message_id: str, attachment_id: str) -> dict: """ Fetches attachment data from the Gmail API. Args: message_id (str): The ID of the message containing the attachment. attachment_id (str): The ID of the attachment to fetch. Returns: dict: Attachment data retrieved from the Gmail API. Raises: RuntimeError: If there is an issue while fetching attachment data from the Gmail API. """ print("fetch_attachment_data") attachment_url = f"https://www.googleapis.com/gmail/v1/users/me/messages/{message_id}/attachments/{attachment_id}" try: response = requests.get(attachment_url, headers={"Authorization": f"Bearer {self.__jwt}"}) response.raise_for_status() # Raise error if the request fails return response.json() except requests.RequestException as e: raise RuntimeError(f"Error fetching attachment data from Gmail API: {str(e)}") def __process_message(self, message: dict) -> tuple: """ Processes a single message. Args: message (dict): The message to process. Returns: tuple: A tuple containing the subject (str), body (str), links (list of str), and base64 data if it contains an document attachment in the form of pdf, docx, ppt or any file format indicating whether the message contains an attachment. Raises: RuntimeError: If there is an issue while fetching message data from the Gmail API. """ print("process_messages") message_id = message.get("id") if not message_id: return None, None, [], False subject='' message_data = self.__fetch_message_data(message_id) if 'payload' in message_data and 'headers' in message_data['payload']: headers = message_data['payload']['headers'] for header in headers: if header['name'] == 'Subject': subject = header['value'] body = '' links = [] has_attachment = False if 'payload' in message_data and 'parts' in message_data['payload']: parts = message_data['payload']['parts'] payload = message_data['payload']['headers'] print("printing headers response") print(payload) print() print() brand_from_gmail = '' company_from_gmail = '' # if payload['headers']['name'] == 'from': # brand_from_gmail = payload['headers']['value'] # company_from_gmail = extract_domain_from_email(brand_from_gmail) # else: # company_from_gmail = None for part in parts: if 'mimeType' not in part: continue mime_type = part['mimeType'] if mime_type == 'text/plain' or mime_type == 'text/html': body_data = part['body'].get('data', '') body = base64.urlsafe_b64decode(body_data) text= self.extract_text(body) if 'body' in part and 'attachmentId' in part['body']: attachment_id = part['body']['attachmentId'] attachment_data = self.__fetch_attachment_data(message_id, attachment_id) data = attachment_data.get("data", "") filename = part.get("filename", "untitled.txt") if data: # Save only the first 10 characters of the attachment data return subject,body ,{"filename":filename , "data":data} , company_from_gmail return subject, body,None , company_from_gmail def extract_domain_from_email(self,email): # Extracting the email address using regex email_address = re.search(r'[\w\.-]+@[\w\.-]+', email_string).group() # Extracting the domain name from the email address domain = email_address.split('@')[-1].split('.')[0] if email_address and domain : return domain else: return None def extract_text(html_content: str) -> tuple: """ Extracts text and links from HTML content. Args: html_content (str): The HTML content to process. Returns: tuple: A tuple containing the extracted text (str) and links (list of tuples). Raises: ValueError: If the input HTML content is empty or None. """ if not html_content: raise ValueError("HTML content is empty or None") soup = BeautifulSoup(html_content, 'html.parser') # Extract text text = soup.get_text(separator=' ') text = re.sub(r'\s+', ' ', text).strip() # Extract links links = [(link.text, link['href']) for link in soup.find_all('a', href=True)] return text, links def extract_messages(self) -> dict: """ Extracts messages based on the provided brand name. Args: brand_name (str): The brand name to search for in email subjects. jwt_token (str): The JWT token for authentication. Returns: dict: A dictionary containing the extracted messages with their subjects, bodies, links, and attachment statuses. format:{"results":[{"subjec":"test subject" , "body":"it would be text" , "attachment_data":{"filename":base64URL format}},{second message with same content of subject , body , attachment_data}]} """ print("entered the extract messages") messages = self.__fetch_messages() results = [] for message in messages: subject, body, attachment_data , company_name = self.__process_message(message) """ Handling None values """ body = body if body is not None else None attachment_data = attachment_data if attachment_data is not None else {} company_associated = company_name if company_name is not None else None results.append({"body": body, "attachment_data": [attachment_data] ,'company_associated':company_associated}) return {"results": results} # obj = GmailDataExtractor("abcd","user_input") # print(obj.error)