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Description:
PyHacc 0.9.0
Pre-requisites
You will need python (2.6 and 2.7 are tested), qtalchemy, sqlalchemy (0.7x
preferred), a python database driver, and PyQt4 or PySide. Refer to setup.py
for a more complete list of dependencies.
It should be noted that while PyHacc is a fully functional system which is in
production use for the author’s personal use, it is primarily a demonstration
and example of qtalchemy.
As of qtalchemy version 0.8.x, PyHacc uses PySide. To use PyQt4 instead of
PySide, you must install from the source in the bitbucket repository. Install
in the following way:
python qtbindings.py --platform=PyQt4
python setup.py build
sudo python setup.py install
If using PyQt4, the qtalchemy library will also need to be switched to
using PyQt4 in a similar way.
Getting Started
On linux, it should be sufficient to run:
python setup.py build
sudo python setup.py install
pyhaccgui --conn=sqlite://
The sqlite:// connection string will start pyhacc with a demo database.
It is recommended and most tested to use pyhacc with postgresql. To initialize
a database:
createdb pyhacc
pyhacc initdb postgresql://username:password@localhost/pyhacc
# to run pyhacc connected to this database:
pyhaccgui --conn=postgresql://username:password@localhost/pyhacc
Getting Started on Windows
Roughly speaking, the install proceeds as follows:
Install python and easy_install
Install PyQt (or PySide, if desired).
easy_install sqlalchemy
easy_install pyscopg2 # for postgresql support
easy_install pyhacc
On your postgresql server, run the following command:
createdb pyhacc
Initialize the data-set with the following command on the windows client:
c:\python27\python.exe c:\python27\scripts\pyhacc initdb postgresql://username:password@server/pyhacc
Create a windows short-cut with the following target for starting the program:
c:\python27\pythonw.exe c:\python27\scripts\pyhaccgui --conn=postgresql://username:password@server/pyhacc
Changelog
0.9:
Python 3 support
Transaction reverse & auto-balance with hot-keys
Report improvements particularly in profit & loss reports.
Additional calendar navigation features from qtviews.
0.8:
reports: balance sheet and profit & loss formatting with sorting and
grouping flexibility
reports: html export
experimental flask http server code for viewing of reports
switch to using PySide rather than PyQt4
primitive calendar view for transactions (personally, I love it!)
transaction tagging gui
0.7:
report changes with column width being propogated from on-screen lists to pdf
versions
factor out basic report code to qtalchemy
bug fixes
0.6: First pleasantly usable version in production
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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