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An expense logging application written in Python/Django
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README.md

Xpens

An expense logging application written in Python/Django.

Screenshots

Overview Categories New Expense Expenses List Statistics

Pre-requisites

  • Any fairly modern GNU/Linux operating system.
  • Python 2.7.x/3.4 or newer.
  • GCC and other related build tools.
  • PostgreSQL server with headers (any recent version supported by Django)
  • Python headers (needed only while installing some of the dependencies)
  • PostgreSQL client library (libpq) and headers (for building psycopg2 egg)
  • JPEG and Freetype libraries with headers. This is required by Pillow which is used by django-simple-captcha which generates the captcha on the registration page. In Debian/Ubuntu, the packages to be installed are libjpeg8-dev and libfreetype6-dev.
  • Latest Vagrant and VirtualBox in case you want to setup the development environment the easy way.
  • X Server - optional. This is needed if you want to run the functional tests from inside the vagrant VM.
  • Xpens should work on Mac OS X and Windows provided you know how to tweak them for the above requirements.

Installation

  • Download the source code of Xpens and extract it or clone this repository using Git.

  • Navigate to the top-level xpens/ directory containing the LICENSE and this README file.

  • Setting up a development environment:

    • The easy way
      • Just run vagrant up. It will automatically download a Debian Jessie 64-bit vagrant box and create a VM using that. This command will fail if any of the required plugins like vagrant-vbguest are not installed and will prompt for their installation. Re-run vagrant up after installing the required plugins. It then takes care of creating and configuring a VM for developing Xpens, automating most of the manual steps described below. You can then login into the VM by running vagrant ssh. Then navigate to ~/xpens/xpens before following further instructions.
    • The manual way
      • It is recommended to perform the following steps after creating a virtualenv environment and activating it. This will install all the dependencies of Xpens in an isolated, local python environment without affecting the system python. If not, you will have to prefix the commands with a sudo or execute them as a root user.
      • Run pip install -r requirements.txt. This will install all the dependencies required to deploy Xpens. In case you want to develop Xpens, run pip install -r requirements/local.txt.
      • Navigate into the xpens/xpens/ folder.
      • Copy the settings_template.py to settings.py.
      • In case you don't want to use psycopg2 or PostgreSQL, feel free to modify the database engine to whatever suits you and it should work just fine. In case you change the database engine, replace psycopg2 with the name of the database driver that you want to use in requirements/common.txt and then install it by running pip install -r requirements.txt from the top-level directory.
      • If needed, modify the database connection settings to match the database and user you have created to connect to it. To run the tests, the user needs to have the CREATEDB permission. Create the database and the user if they do not exist.
      • Navigate to the xpens/ sub-directory in the top-level xpens directory and run python manage.py migrate. This will create the tables required by Xpens in the database and apply the unapplied migrations, if any.
  • Running in development mode

    • Run the Django development server using python manage.py runserver. This will start the server on locahost:8000. Note that this works fine only for running Xpens locally to develop on it. Using Django's development server in production is not recommended.
    • Open your favorite browser and navigate to localhost:8000 to access the Xpens application. Login using the user account created before.
  • Deploying in production

    • Install the dependencies listed in requirements.txt either in a virtualenv environment or to the system python installation.
    • Copy settings_template_production.py to settings.py and edit it as described in the following steps.
    • Configure the ADMINS setting.
    • Set a long random string as the value for SECRET_KEY setting.
    • Create the database and the database user. Configure the DATABASES setting.
    • Set DEBUG setting to False to disable debug mode in production.
    • Collect all the static files to the STATIC_ROOT location specified in settings.py by running the command python manage.py collectstatic. This location has to be served under the STATIC_URL path, by the web server.
    • Run python manage.py check --deploy to view the security recommendations for running Xpens in production. Configure whatever is relevant to your production environment.
    • If using apache2 webserver with mod_wsgi, please check out deploy/apache2_mod_wsgi.conf file for an example configuration. For more details, please read the mod_wsgi and Django documentation.

Upgrading

  • When you update Xpens from its git repository, be aware of the following things:
    • If there are any changes to the requirements, you will have to run the pip install commands like described in the installation section from the top-level xpens/ directory to install/update the dependencies.
    • If there are any changes to settings_template.py (or settings_template_production.py if you are deploying Xpens in production), you will have to merge them with the settings.py in your environment.
    • If there are new apps added to the INSTALLED_APPS variable in settings_template.py or any new models added, you will have to run python manage.py syncdb to update the database, after doing the previous step.
    • Since Xpens is in active development, there might be changes to the database schema when upgrading between versions from Git. So do run python manage.py migrate to apply the database migrations before trying to run or deploy Xpens.

TODO

Contributions for the following items are welcome.

  • Improve the test coverage by adding more tests.
  • Make the site responsive so that it works on mobile browsers.
  • Add more graphs to present the available information in different ways.
  • Predict spending patterns?
  • Support adding recurring expenses in order to avoid adding the same expenses periodically.
  • Sharing expense lists between users.
  • Convert the backend into a REST API so that it is easier to make a mobile app.
  • In the mobile app, make it possible to capture and attach images of bills and receipts.

Contributing

Please read CONTRIBUTING.md

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