#Open Budget

Simple django-based personal budgeting app that uses GNUCash sqlite data files.

#Motivation This project serves two main purposes:

1. get data out of gnucash and into the django framework to allow for more flexible analysis eg: using the numpy maths library

2. implement basic budget functionality to allow a flexible budgeted vs actual report

GNUCash works as a good tool for data entry and standard accounting reports like balance sheets and profit & loss. However, report customisation is overly complicated and the budget functionality poor. This project aims to address these issues.

#Status

• basic structure implemented - a gnucash file can be used to import accounts, transactions and splits

#Installation

$  git clone git://github.com/evandavey/OpenBudget.git openbudget
$  cd openbudget
$  pip install -r requirements/development.txt

If fabric is installed:

$  fab development syncdb
$  fab development migratedb

Otherwise:

$  ./manage.py syncdb --settings=openbudget.settings_local
$  ./manage.py schemamigration openbudgetapp --settings=openbudget.settings_local

#Usage

##Running the server

If fabric is installed:

$  fab development runserver

Otherwise:

$  ./manage.py runserver 0.0.0.0:8080 --settings=openbudget.settings_local

Access the admin interface at: http://127.0.0.0.1:8080/admin/

##Importing a gnucash file

Save your GNUCash file as a sqlite3 file.

$ ./manage.py gnucash-import <gnucash sql file> --settings=openbudget.settings_local

##Creating budgets

• Access the admin interface at: http://127.0.0.0.1:8080/admin/ and create or edit AccountBudget objects.

• Budgets are specified as a total value over a given period.

• Total amounts will be spread daily over a given analysis period for reporting eg: a yearly budget value will be converted to 365 daily values which will then be multiplied by the number of days in a given month for a monthly report

##The Budget Report

• Access at http://127.0.0.0.1:8080/openbudget/budget////

• and specify the analysis period and should be in YYYYMMDD format

• Depth specifies the depth of the account tree to report on.

• Freq will define the analysis grouping. Use 'm' or monthly groups, 'q' for quarterly groups and 'y' for annual groups

• For best results, the report should be produced over 6 periods eg: 6 years or 6 quarters or 6 months

Dependencies

• pip:

  $ easy_install pip

• To use the fabfile and fab commands:

  $ pip install fabric