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Description: An open source multimodal trip planning engine
Homepage: http://bmander.github.com/graphserver
Clone URL: git://github.com/bmander/graphserver.git
name age message
file .gitignore Thu Mar 12 16:38:12 -0700 2009 added .gitignore file [bmander]
file LICENSE Thu May 31 21:27:15 -0700 2007 setting up trunk [ewedistrict]
file README Wed Jun 24 11:52:44 -0700 2009 Minor logic fix in compiler/tools.py; updated R... [Nino Walker]
file STYLE Wed Feb 11 22:12:18 -0800 2009 Added the project styleguide [bmander]
directory apps/ Fri Jun 19 18:23:50 -0700 2009 fixed bug in routeserver [bmander]
directory core/ Loading commit data...
directory misc/
directory pygs/
directory rbgs/ Tue Oct 14 14:46:35 -0700 2008 Added U_IDS fields for identifying unique IDs i... [juangui]
directory site/ Wed Jul 30 10:51:44 -0700 2008 small changes to graphserver site [ewedistrict]
directory test/
README
--== OVERVIEW ==--

Graphserver provides a C implementation of Djikstra's shortest path algorithm.
This algorithm can be used to solve any number of problems, including street
routing, transit routing, network analysis, etc.

The core graphserver library has Python bindings (and deprecated Ruby bindings),
which provide easy construction, storage, and analysis of graph objects.  There
are also a handful of tools designed to work with Open Street Map data and GTFS
transit data.

Related projects: prender, transitfeed, osmosis

--== PYTHON BINDINGS ==--

Prerequisites:
Python 2.6+ (or 2.5+ for only graphserver.core)

Build:
$ cd pygs
$ sudo python2.6 setup.py install

setup.py installs several executables.  On debian these go into /usr/local/bin/*.
On Mac OS X, these go into
/Library/Frameworks/Python.framework/Versions/2.6/bin/*

  gs_gtfsdb_build: create a GTFSDatabase (sqlite3 db) from a GTFS zip file
  $ gs_gtfsdb_build test/google_transit.zip test/google_transit.zip.gtfsdb

  gs_gtfsdb_inspect: run a query against a GTFSDatabase
  $ gs_gtfsdb_inspect test/google_transit.zip.gtfsdb "select * from agency"

  gs_osmdb_compile: compile an OSMDB from an OSM xml file
  $ (cd test && unzip map.osm.zip)
  $ gs_osmdb_compile test/map.osm test/map.osmdb
  
  gs_osmfilter: run one of the filter classes from graphserver.ext.osm.osmfilters on an OSMDB instance
  $ gs_osmfilter <Filter Name> <run|rerun|visualize> <osmdb_file> [<filter args> ...]

  gs_compile_gdb: the a graph compiler; accepts compiled GTFSDatabase(s) and/or a compiled OSMDB as inputs
    # compile only GTFS data
  $ gs_compile_gdb` -g bart.gtfsdb bart.gdb
    # compile an OSM street graph only
  $ gs_compile_gdb -o pygs/test/map.osmdb map.gdb
    # compile GTFS with OSM
  $ gs_compile_gdb -o pygs/test/map.osmdb -g bart.gtfsdb bart_with_streets.gdb
    # compile multiple GTFS files into one graph 
  $ gs_compile_gdb -g A.gtfsdb -g B.gtfsdb -g ... 
   

Test a successful installation:
  $ python2.6 -c "import graphserver.core; graphserver.core.Graph(); print 'Graphserver can be imported'"

Run the test harness (in verbose mode):
  user@graphserver/pygs$ python2.6 setup.py nosetests -v

--== C .dll/.so ==--

Provides the core DLL for routing. It is not necessary to manually build this if
using the Python bindings.

Build:
  $ cd core
  $ make

Install:
  $ cd core
  $ sudo make install

--== RUBY BINDINGS (DEPRECATED) ==--

NOTE: These bindings are horribly out of date.  Ruby/C experts only. Patches welcome.

Prerequisites:
Ruby 1.8.5

Build:
$ cd rbgs
Read the README