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Question about using imaplib and gmail

I am trying to use this script i found on the net and modified to download all attachments from unread emails in a specific gmail folder.
The script works fine for most emails, when get_content_type() reports application/pdf, get_filename() will get the pdf file
However when get content type is 'application/octet-stream', get file name does NOT grab the pdf
1) I am unsure what the if-continue statements are doing starting at line 58. If that statement isn't true, does it restart the for loop again? 2) how to get it to get file name when attachment is octet stream?
Huge thank you to the community, I can't believe how amazing everyone is :)
def download_attachments(): #log into gmail, download attachments from unread messages in email folder "CEDOrderAcks" try: emailLogger.info('Connecting to Gmail...') imapSession = imaplib.IMAP4_SSL('imap.gmail.com')
 # .login() fails with gmail unless you turn on "allow less secure apps" https://myaccount.google.com/lesssecureapps result, accountDetails = imapSession.login(Email_User, EmailPassword) if result != 'OK': emailLogger.error('Not able to sign in!') raise emailLogger.info(str(accountDetails[0], 'utf-8')) result, EmailCount = imapSession.select('"Attachments"') # returns a count of messages in mailbox if result != 'OK': emailLogger.error('Error accessing folder!') raise # EmailCount is a list, pick the first item and decode it to print properly. emailLogger.info('Number of messages in CEDOrderAcks folder: ' + str(EmailCount[0], 'utf-8') ) # this should return the same number as .select() result, data = imapSession.search(None, 'ALL') if result != 'OK': emailLogger.error('Error searching folder.') raise TotalMsgCount = len(data[0].split()) emailLogger.info('Count of all messages in folder: ' + str(TotalMsgCount)) # find all unread 'UNSEEN' emails result, data = imapSession.search(None, 'UNSEEN') if result != 'OK': emailLogger.error('Error searching folder.') raise TotalUnreadMsgs = len(data[0].split()) emailLogger.info('Count of unread messages in folder: ' + str(TotalUnreadMsgs)) # Iterating over all emails for msgId in data[0].split(): result, messageParts = imapSession.fetch(msgId, '(RFC822)') if result != 'OK': emailLogger.error('Error fetching mail.') raise emailLogger.info('msgId = ' + str(msgId)) emailBody = messageParts[0][1] #pprint(emailBody) mail = email.message_from_bytes(emailBody) # for >Python3 emailLogger.info('Message To: ' + mail['To'] ) emailLogger.info('From: ' + mail['From'] ) emailLogger.info('Subject: ' + mail['Subject']) #emailLogger.info('Items: ' + mail.items() ) for part in mail.walk(): emailLogger.info( part.get_content_type() ) for part in mail.walk(): if part.get_content_maintype() == 'multipart': #print('content = multipart:') #print(part.as_string()) continue if part.get('Content-Disposition') is None: #print('Content-Disposition:') #print(part.as_string()) continue if part.get_content_type() == 'application/octet-stream': emailLogger.info('got octet stream') continue fileName = part.get_filename() emailLogger.info('Filename= ' + fileName ) if bool(fileName): filePath = os.path.join('C:', os.sep, Attachments_Dir, fileName) if not os.path.isfile(filePath): #If the file does not exist #print(fileName) fp = open(filePath, 'wb') #writing in binary mode fp.write(part.get_payload(decode=True)) emailLogger.info('Saved: ' + filePath) fp.close() imapSession.close() imapSession.logout() except: emailLogger.error('Not able to download all attachments.') 
submitted by wheres_my_karma to learnpython

Extract all Outlook email headers and body to a dataframe

I'm really struggling with this and could do with some help. I'm pretty sure I just need to add in a function to parse the email body but every attempt I have made hasn't worked and I'm under pressure as I need to be further on to present my work on friday. Any help would be much appreciated. Code as follows:
from imaplib import IMAP4_SSL import email as em from email.utils import parsedate, parsedate_tz from email.parser import HeaderParser class OutlookAccount(object): def __init__(self, username=None, password=None, folder=None): self.username = username self.password = password self.folder = folder def login(self): self.conn = IMAP4_SSL('outlook.office365.com') response = self.conn.login(self.username, self.password) return response def search(self, query, folder=None, readonly=False): ff = self.folder if self.folder else folder self.conn.select(ff, readonly) resp, data = self.conn.search(None, query) return data def fetch(self, uids, query): uid_arr = b','.join(uids[0].split()) resp, data = self.conn.fetch(uid_arr, query) return data def fetch_and_parse(self, uids, query): data = self.fetch(uids, query) parser = HeaderParser() emails = [] for email in data: if len(email) < 2: continue msg = em.message_from_bytes(email[1]).as_string() emails.append(parser.parsestr(msg)) return emails def load_parse_query(self, search_query, fetch_query, folder=None, readonly=False): '''Perform search and fetch on an imap Gmail account. After fetching relevant info from fetch query, parse into a dict-like email object, return list of emails.''' uids = self.search(search_query, folder, readonly) return self.fetch_and_parse(uids, fetch_query) import numpy as np import pandas as pd import getpass #import matplotlib.pyplot as plt #import matplotlib.dates as dates #import matplotlib.gridspec as gridspec from datetime import timedelta, datetime, date imap_password = getpass.getpass() outlook = OutlookAccount(username='[email protected]', password=imap_password) outlook.login() daysback = 6000 # ~10yrs...make this whatever ya like notsince = 0 # since now. since = (date.today() - timedelta(daysback)).strftime("%d-%b-%Y") before = (date.today() - timedelta(notsince)).strftime("%d-%b-%Y") SEARCH = '(SENTSINCE {si} SENTBEFORE {bf})'.format(si=since, bf=before) ALL_HEADERS = '(BODY.PEEK[HEADER])' # Search and fetch emails! received = outlook.load_parse_query(search_query=SEARCH, fetch_query=ALL_HEADERS, folder='"INBOX"') #create function to convert to dataframe def scrub_email(headers): # IMAP sometimes returns fields with varying capitalization. Lowercase each header name. return dict([(title.lower(), value) for title, value in headers]) df = pd.dataframe([scrub_email(email._headers) for email in received]) 
I have tried amending the fetch and parse function to include body using code similar to:

from bs4 import BeautifulSoup import pandas as pd #getting the email message content counter = 1 for part in email_message.walk(): if part.get_content_maintype() == "multipart": continue filename = part.get_filename() if not filename: ext ='.html' filename = 'msg-part-%08d%s' %(counter, ext) counter += 1 #""" #save file #""" content_type = part.get_content_type() #to_list.append(to_) #from_list.append(from_) #date_list.append(date_) #date_list = pd.to_datetime(date_list) print(subject_) print(content_type) print(categories_) if "plain" in content_type: print(part.get_payload()) #message_text.append(msg.get_payload(decode=True)) elif "html" in content_type: html_ = part.get_payload() soup = BeautifulSoup(html_, "html.parser") text = soup.get_text() print(text) #message_text.append(text) else: print(content_type) 
I just can't get it to work. I would really appreciate some help as I have been trying for days and getting no where.
submitted by m3lt3dh3ad to learnpython

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