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Create get_gmail_data.py
Browse files- get_gmail_data.py +218 -0
get_gmail_data.py
ADDED
@@ -0,0 +1,218 @@
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1 |
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import requests
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import jwt
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import base64
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from bs4 import BeautifulSoup
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import re
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class GmailDataExtractor:
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def __init__(self,jwt:str , user_input: str = None) -> None:
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if jwt is None :
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self.error = "Error"
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else:
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self.__jwt = jwt
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self.__user_input = user_input
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self.error = None
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self.__secret_key = 'nkldjlncbamjlklwjeklwu24898h*&#Ujnfjf34893U5HSJFBSKFSHFNSK*$*W_ 3OWU'
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def __validate_jwt_token(self):
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try:
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payload = jwt.decode(self.jwt, self.secret_key, algorithms=["HS256"])
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access_token = payload.get("access_token")
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if access_token:
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return access_token
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else:
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raise ValueError("Invalid JWT token: Missing access token")
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except jwt.ExpiredSignatureError:
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raise ValueError("Invalid JWT token: Expired token")
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except jwt.InvalidTokenError:
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raise ValueError("Invalid JWT token: Token verification failed")
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def __fetch_messages(self) -> list:
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"""
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Fetches messages from the Gmail API.
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Args:
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gmail_url (str): The URL for the Gmail API request.
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access_token (str): The access token for authenticating with Gmail API.
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Returns:
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list: A list of message objects retrieved from the Gmail API.
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Raises:
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RuntimeError: If there is an issue while fetching messages from the Gmail API.
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"""
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"""currently not implementing jwt for testing purposes
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replace every access_token with jwt function directly which returns the access token"""
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access_token = self.__jwt
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receipt_query = f"(label:^smartlabel_receipt OR (subject:your AND subject:order) OR subject:receipts OR subject:receipt OR subject:invoice OR subject:invoice))"
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if self.__user_input is not None:
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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}"
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gmail_url = f"https://www.googleapis.com/gmail/v1/users/me/messages?q={receipt_query}"
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def __fetch_page(url):
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response = requests.get(url, headers={"Authorization": f"Bearer {access_token}"})
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response.raise_for_status() # Raise error if the request fails
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data = response.json()
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return data.get("messages", []), data.get("nextPageToken")
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messages = []
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page_token = None
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try:
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while True:
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url = f"{gmail_url}&pageToken={page_token}" if page_token else gmail_url
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page_messages, page_token = __fetch_page(url)
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messages.extend(page_messages)
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if not page_token:
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break
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except requests.RequestException as e:
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raise RuntimeError(f"Error fetching messages from Gmail API: {str(e)}")
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return messages
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def __fetch_message_data(self, message_id: str) -> dict:
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"""
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Fetches message data from the Gmail API.
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Args:
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message_id (str): The ID of the message to fetch.
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Returns:
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dict: Message data retrieved from the Gmail API.
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Raises:
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RuntimeError: If there is an issue while fetching message data from the Gmail API.
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"""
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message_url = f"https://www.googleapis.com/gmail/v1/users/me/messages/{message_id}"
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try:
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response = requests.get(message_url, headers={"Authorization": f"Bearer {self.__jwt}"})
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response.raise_for_status() # Raise error if the request fails
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return response.json()
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except requests.RequestException as e:
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raise RuntimeError(f"Error fetching message data from Gmail API: {str(e)}")
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def __fetch_attachment_data(self, message_id: str, attachment_id: str) -> dict:
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"""
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Fetches attachment data from the Gmail API.
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Args:
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message_id (str): The ID of the message containing the attachment.
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attachment_id (str): The ID of the attachment to fetch.
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Returns:
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dict: Attachment data retrieved from the Gmail API.
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Raises:
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RuntimeError: If there is an issue while fetching attachment data from the Gmail API.
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"""
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attachment_url = f"https://www.googleapis.com/gmail/v1/users/me/messages/{message_id}/attachments/{attachment_id}"
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try:
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response = requests.get(attachment_url, headers={"Authorization": f"Bearer {self.__jwt}"})
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response.raise_for_status() # Raise error if the request fails
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return response.json()
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except requests.RequestException as e:
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raise RuntimeError(f"Error fetching attachment data from Gmail API: {str(e)}")
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def __process_message(self, message: dict) -> tuple:
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"""
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Processes a single message.
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Args:
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message (dict): The message to process.
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Returns:
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tuple: A tuple containing the subject (str), body (str), links (list of str),
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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.
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Raises:
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RuntimeError: If there is an issue while fetching message data from the Gmail API.
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"""
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message_id = message.get("id")
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if not message_id:
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return None, None, [], False
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message_data = self.__fetch_message_data(message_id, self.__jwt)
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subject = message_data.get('payload', {}).get('headers', {}).get('value', '')
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body = ''
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links = []
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has_attachment = False
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if 'payload' in message_data and 'parts' in message_data['payload']:
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parts = message_data['payload']['parts']
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for part in parts:
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if 'mimeType' not in part:
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continue
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mime_type = part['mimeType']
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if mime_type == 'text/plain' or mime_type == 'text/html':
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body_data = part['body'].get('data', '')
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body = base64.urlsafe_b64decode(body_data).decode('utf-8')
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text= self._extract_text_and_links(body)
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if 'body' in part and 'attachmentId' in part['body']:
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attachment_id = part['body']['attachmentId']
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attachment_data = self.__fetch_attachment_data(message_id, attachment_id)
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data = attachment_data.get("data", "")
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filename = part.get("filename", "untitled.txt")
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159 |
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160 |
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if data:
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# Save only the first 10 characters of the attachment data
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return subject,body , links , {filename:data}
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+
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return subject, body, links , None
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+
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166 |
+
def extract_text_and_links(html_content: str) -> tuple:
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"""
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168 |
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Extracts text and links from HTML content.
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169 |
+
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170 |
+
Args:
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html_content (str): The HTML content to process.
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+
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+
Returns:
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tuple: A tuple containing the extracted text (str) and links (list of tuples).
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+
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Raises:
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ValueError: If the input HTML content is empty or None.
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178 |
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"""
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if not html_content:
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raise ValueError("HTML content is empty or None")
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181 |
+
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182 |
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soup = BeautifulSoup(html_content, 'html.parser')
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# Extract text
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text = soup.get_text(separator=' ')
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text = re.sub(r'\s+', ' ', text).strip()
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+
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# Extract links
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links = [(link.text, link['href']) for link in soup.find_all('a', href=True)]
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+
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return text, links
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192 |
+
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193 |
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def extract_messages(self) -> dict:
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"""
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195 |
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Extracts messages based on the provided brand name.
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196 |
+
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197 |
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Args:
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198 |
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brand_name (str): The brand name to search for in email subjects.
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199 |
+
jwt_token (str): The JWT token for authentication.
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200 |
+
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201 |
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Returns:
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202 |
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dict: A dictionary containing the extracted messages with their subjects, bodies, links, and attachment statuses.
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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}]}
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"""
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messages = self.__fetch_messages()
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results = []
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208 |
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for message in messages:
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subject, body, attachment_data = self.__process_message(message)
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""" Handling None values """
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subject = subject if subject is not None else ""
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body = body if body is not None else ""
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attachment_data = attachment_data if attachment_data is not None else {}
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results.append({"subject": subject, "body": body, "attachment_data": attachment_data})
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218 |
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return {"results": results}
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