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Genealogical software based on the GenTech data model
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This is GeneaProve, a web-based genealogical software. This README is organized as a FAQ, hopefully this will make it more readable. Q. What do I need to install first ? Compiling and running geneaprove requires the following packages: python 2.6 or 2.7 python-pil (image library for python) django >= 1.4.0 sqlite >= 3.6 npm >= 2.6.1 We know that things will not work as well with older versions, and the current priority of the project is to implement new features rather than support obsolete versions of these tools. You need to run the following commands: npm install node_modules/grunt-cli/bin/grunt The only database backend that has been tested so far is sqlite, although Django is such that it might work with other backends. Q. How do I setup the application ? You need to edit the file mysites/settings.py to point to the database you wish to use. Q. How do I start the server ? Type ./geneaprove.py to create an empty database (if none exists yet) and start the server. Then open a web browser and connect to http://127.0.0.1:8000/ Tested web browers include Safari, Firefox and Chrome. Q. How do I import my GEDCOM data ? Currently, GeneaProve is a read-only view. You should therefore have a GEDCOM file created by another genealogy software. Once you have this file, you can click on "Import" in your web browser to import it into GeneaProve. Q. Why did you implement this as a web server ? A traditional GUI (based on a native API like gtk+, QT or Win32) provide greater efficiency and flexibility in a lot of cases. However, web technologies are far more portable. In particular, since the server is written using a standard python framework (django), you could install it at your ISP, and then access your genealogy from anywhere using a mobile device. Since GeneaProve is implemented using standard web technologies (as opposed to Flash), this also increases its portability. Q. What is the data model used in the database ? Although this should be transparent to the end user, the data model is almost a 1-to-1 mapping of the GenTech datamodel, which is based on assertions and avoids any limitations like a unique birth date per person for instance. Technically, you could also store negative assertions ("this person is _not_ born on that date"), which might be useful later on. Q. What is the license ? This is GPL version 2 software, copyright Emmanuel Briot. (we kept version 2 for compatibility with Gramps, so that code from GeneaProve could eventually be of interest there)
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