Community Articles

lwang · ‎01-12-2017

Some people say I must have a bot to read and reply to email at all crazy hours of the day. An awesome email assistant, well I decided to prototype it.

This is the first piece. After this I will add some Spark machine learning to intelligently reply to emails from a list of pretrained responses. With supervised learning it will learn what emails to send to who, based on Subject, From, Body Content, attachments, time of day, sender domain and many other variables.

For now, it just reads some emails and checks for a hard coded subject.

I could use this to trigger other processes, such as running a batch Spark job.

Since most people send and use HTML email (that's what Outlook, Outlook.com, Gmail do), I will send and receive HTML emails as to make it look more legit.

I could also run my fortune script and return that as my email content. Making me sound wise, or pull in a random selection of tweets about Hadoop or even recent news. Making the email very current and fresh.

Snippet Example of a Mixed Content Email Message (Attachments Removed to Save Space)

Envelope-to: [email protected]
Delivery-date: Wed, 19 Oct 2016 12:19:13 -0400
Subject: test
MIME-Version: 1.0
From: x x<[email protected]>
To: "[email protected]" <[email protected]>
Thread-Topic: test
Thread-Index: AQHSKiSFTVqN9ugyLEirSGxkMiBNFg==
Date: Wed, 19 Oct 2016 16:19:09 +0000
Message-ID: <[email protected]>
Accept-Language: en-US
Content-Language: en-US
x-ms-exchange-messagesentrepresentingtype: 1
x-ms-exchange-transport-fromentityheader: Hosted
x-originating-ip: [71.168.178.39]
x-source-routing-agent: Processed
Content-Type: multipart/related;
    boundary="_004_D49AD13737654F9ABF98C4E36D11FFD8hortonworkscom_";
    type="multipart/alternative"


--_004_D49AD13737654F9ABF98C4E36D11FFD8hortonworkscom_
Content-Type: multipart/alternative;
    boundary="_000_D49AD13737654F9ABF98C4E36D11FFD8hortonworkscom_"


--_000_D49AD13737654F9ABF98C4E36D11FFD8hortonworkscom_
Content-Type: text/plain; charset="utf-8"
Content-Transfer-Encoding: base64

Python Script to Parse Email Messages

#!/usr/bin/env python

"""Unpack a MIME message into a directory of files."""
import json
import os
import sys
import email
import errno
import mimetypes
from optparse import OptionParser
from email.parser import Parser

def main():
    parser = OptionParser(usage="""Unpack a MIME message into a directory of files.
Usage: %prog [options] msgfile
""")
    parser.add_option('-d', '--directory',
                      type='string', action='store',
                      help="""Unpack the MIME message into the named
                      directory, which will be created if it doesn't already
                      exist.""")
    opts, args = parser.parse_args()
    if not opts.directory:
 os.makedirs(opts.directory)
    try:
        os.mkdir(opts.directory)
    except OSError as e:
        # Ignore directory exists error
        if e.errno != errno.EEXIST:
            raise
    msgstring = ''.join(str(x) for x in sys.stdin.readlines())

    msg = email.message_from_string(msgstring)

    headers = Parser().parsestr(msgstring)
    response  = {'To': headers['to'], 'From': headers['from'], 'Subject': headers['subject'], 'Received': headers['Received']}
    print json.dumps(response)
    counter = 1
    for part in msg.walk():
        # multipart/* are just containers
        if part.get_content_maintype() == 'multipart':
            continue
        # Applications should really sanitize the given filename so that an
        # email message can't be used to overwrite important files
        filename = part.get_filename()
        if not filename:
            ext = mimetypes.guess_extension(part.get_content_type())
            if not ext:
                # Use a generic bag-of-bits extension
                ext = '.bin'
            filename = 'part-%03d%s' % (counter, ext)
        counter += 1
        fp = open(os.path.join(opts.directory, filename), 'wb')
        fp.write(part.get_payload(decode=True))
        fp.close()

if __name__ == '__main__':
    main()

mailnifi.sh

python mailnifi.py -d /opt/demo/email/"$@"

Python needs the email component for parsing the message, you can install via PIP.

pip install email

I am using Python 2.7, you could use a newer Python 3.x

Here is the flow:

For the final part of the flow, I read the files created by the parsing, load them to HDFS and delete from the file system using the standard GetFile.

Reference:

Files:

email-assistant-12-jan-2017.xml

Cloudera Community

Community Articles

Creating An Email Bot in Apache NiFi

Apache NiFi