A simple Gmail client that runs in your Terminal.

This is a standalone python script that connects with Gmail API to filter and perform actions on the emails based on certain rules. The user can fetch all the emails from their gmail account and store it in the local database. Filters can be applied on the stored emails and the actions like marking them as READ/UNREAD, Archiving, Adding new labels can be done through the terminal. Basically its a terminal version of Gmail.

Python 3.6 above
SQLite
Virtualenv

Open the terminal.

Clone the repository

git clone https://github.com/deeaarbee/G-Terminail
cd G-Terminail

Create virtual environment and activate

virtualenv -p python3 happyenv
source happyenv/bin/activate

Install requirements

pip3 install -r requirements.txt

Place the client.json file in the gmail directory.

cd gmail
# paste the client.json file

In the settings.py in the config directory:

• TOTAL_PAGES_TO_READ - Total pages to read from gmail.
• MAX_RESULTS_PER_PAGE - Total email per page.
• TESTING - True to run tests, else False.

# set value for 
MAX_RESULTS_PER_PAGE = 10
TOTAL_PAGES_TO_READ = 3
TESTING = False

Run main.py

python3 main.py

The web browser will open for OAuth for Gmail. Accepting it will show the menu in the terminal.

Successfully dumped email to database!
+--------+------------------------+
| CHOICE |        ACTIONS         |
+--------+------------------------+
|   1    | FILTER/PERFORM ACTIONS |
|   2    |    VIEW SINGLE MAIL    |
|   3    |    SYNC WITH GMAIL     |
|   4    |    VIEW ALL EMAILS     |
|   5    |     EXIT (LOGOUT)      |
+--------+------------------------+

To run the test:

Go to settings.py in config directory:

# SET
TESTING = True

Now in the project root directory:

python3 test.py

A new test database will be created to perform the tests.

(happyenv) bash-3.2$ python3 test.py
.....
----------------------------------------------------------------------
Ran 5 tests in 0.038s

OK

• Database schema can be improved to make it scalable and store all fields of an email.
• Dynamic pagination can be added to reduce load time.
• Mock tests for api requests can be written.

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