pygmailsorter 0.0.1

Assign labels to emails in Google Mail based on their similarity to other emails assigned to the same label.

Sort your emails automatically

The pygmailsorter is a python module to automate the filtering of emails on Gmail using the Gmail API. It assigns labels to emails based on their similarity to other emails assigned to the same label.

Configuration

The pygmailsorter stores the configuration files in the users home directory ~/.pygmailsorter. This folder contains:

• credentials.json the authentication credentials for the Google API, which requires access to Gmail.
• token_files the token directory is used to store the active token for accessing the APIs, these are created automatically, there should be no need for the user to modify these.
• email.db a local SQLite database to store the emails and machine learning models to accelerate the sorting.

Installation

Install the package from github using pip:

pip install git+https://github.com/jan-janssen/pygmailsorter.git

Finally, setup the credentials.json in your Google Apps and store it in ~/.pygmailsorter/credentials.json.

Python interface

Import the pygmailsorter module

from pygmailsorter import Gmail

Initialize pygmailsorter

Create a gmail object from the Gmail() class

gmail = Gmail()

For testing purposes you can use the optimal client_service_file parameter to specify the location of the authentication credentials in case they are not stored in ~/.pygmailsorter/credentials.json.

Download messages to pandas Dataframe

For offline processing it is helpful to download messages in bulk to pandas dataframes:

gmail.download_messages_to_dataframe(message_id_lst)

The message_id_lst is a list of message ids, this can be obtained from gmail.search_email().

Get email content as dictionary

The content of the email rendered as python dictionary for further postprocessing:

gmail.get_email_dict(message_id)

The message_id can be derived from a function like gmail.search_email().

Update database

Update local database stored in ~/.pygmailsorter/email.db:

gmail.update_database(quick=False)

By setting quick to True only new emails are downloaded, with quick set to False all emails are downloaded.

Filter emails using machine learning

Assign new email labels to the emails with the label "MyLabel":

gmail.filter_label_by_machine_learning(
    label="MyLabel", recalculate=True
)

By setting the optional parameter recalculate to True the machine learning models are fitted again to be up to date.

Command Line interface

The command line interface is currently rather limited, it supports the following options:

• pygmailsorter -c/--config=~/.pygmailsorter the configuration directory can be specified manually.
• pygmailsorter -d/--database update the local email database.
• pygmailsorter -m/--machinelearning=MyLabel assign new labels to the emails with label MyLabel.