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        "author": "Joel B. Mohler",
        "author_email": "joel@kiwistrawberry.us",
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            "Development Status :: 4 - Beta",
            "Environment :: Win32 (MS Windows)",
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            "Intended Audience :: End Users/Desktop",
            "License :: OSI Approved :: GNU General Public License (GPL)",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Database :: Front-Ends",
            "Topic :: Office/Business :: Financial :: Accounting"
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        "description": "Pre-requisites\n--------------\n\nYou will need python (2.6 and 2.7 are tested), qtalchemy, sqlalchemy (0.7x \npreferred), a python database driver, and PyQt4 or PySide.  Refer to setup.py \nfor a more complete list of dependencies.\n\nIt should be noted that while PyHacc is a fully functional system which is in\nproduction use for the author's personal use, it is primarily a demonstration\nand example of qtalchemy_.\n\n.. _qtalchemy: https://bitbucket.org/jbmohler/qtalchemy\n\nAs of qtalchemy version 0.8.x, PyHacc uses PySide.  To use PyQt4 instead of\nPySide, you must install from the source in the bitbucket repository.  Install\nin the following way::\n\n    python qtbindings.py --platform=PyQt4\n    python setup.py build\n    sudo python setup.py install\n\nIf using PyQt4, the qtalchemy library will also need to be switched to \nusing PyQt4 in a similar way.\n\n\nGetting Started\n---------------\n\nOn linux, it should be sufficient to run::\n\n    python setup.py build\n    sudo python setup.py install\n    pyhaccgui --conn=sqlite://\n\nThe sqlite:// connection string will start pyhacc with a demo database.\n\nIt is recommended and most tested to use pyhacc with postgresql.  To initialize \na database::\n\n    createdb pyhacc\n    pyhacc initdb postgresql://username:password@localhost/pyhacc\n    # to run pyhacc connected to this database:\n    pyhaccgui --conn=postgresql://username:password@localhost/pyhacc\n\nGetting Started on Windows\n--------------------------\n\nRoughly speaking, the install proceeds as follows:\n\n- Install python and easy_install\n- Install PyQt (or PySide, if desired).\n- easy_install sqlalchemy\n- easy_install pyscopg2  # for postgresql support\n- easy_install pyhacc\n\nOn your postgresql server, run the following command::\n\n    createdb pyhacc\n\nInitialize the data-set with the following command on the windows client::\n\n    c:\\python27\\python.exe c:\\python27\\scripts\\pyhacc initdb postgresql://username:password@server/pyhacc\n\nCreate a windows short-cut with the following target for starting the program::\n\n    c:\\python27\\pythonw.exe c:\\python27\\scripts\\pyhaccgui --conn=postgresql://username:password@server/pyhacc\n\nChangelog\n---------\n\n0.9:\n\n* Python 3 support\n* Transaction reverse & auto-balance with hot-keys\n* Report improvements particularly in profit & loss reports.\n* Additional calendar navigation features from qtviews.\n\n0.8:\n\n* reports:  balance sheet and profit & loss formatting with sorting and\n  grouping flexibility\n* reports:  html export\n* experimental flask http server code for viewing of reports\n* switch to using PySide rather than PyQt4\n* primitive calendar view for transactions (personally, I love it!)\n* transaction tagging gui\n\n0.7:\n\n* report changes with column width being propogated from on-screen lists to pdf\n  versions\n* factor out basic report code to qtalchemy\n* bug fixes\n\n0.6:  First pleasantly usable version in production",
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        "license": "GPLv2+",
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