Anyway, by having a Jongo server connected to your database you don't have to worry about installing any Python modules, you'll only need a standard Python 2.4+ installation with simplejson or Python 2.5+ which already support JSON.
Let's see, for example, an application which accesses the CIDB database and the Car table:
import jongo class Car(jongo.JongoModel): def __init__(self, id=None, model=None, maker=None, fuel=None, transmission=None, year=None): jongo.JongoModel.__init__(self) self.id = id self.idCol = "cid" self.model = model self.maker = maker self.fuel = fuel self.transmission = transmission self.year = year class CarStore(jongo.JongoStore): def __init__(self): jongo.JongoStore.__init__(self) self.model = Car self.proxy = jongo.Proxy("localhost:8080","cidb","car", Car) if __name__ == '__main__': carstore = CarStore() carstore.load() for car in carstore.data: print car c1 = Car(None, "206cc", "Peugeot", "Gasoline", "Manual", 2008) carstore.add(c1) carstore.sync() c1 = carstore.getAt(carstore.count() - 1) c1.set('model', "206") c1.set('maker', "PPegoushn") carstore.update(c1) carstore.sync() # We need to refresh the object since it has changed after the sync c1 = carstore.getAt(carstore.count() - 1) carstore.remove(c1) carstore.sync()
Since this is Python, the code is pretty straightforward and self documented, right? For more information and examples on working with Python and Jongo check this page.