Hi mjbruder, The easiest way to do this would be to define the conversion function for exporting 'stores' as follows:
lambda x: ":".join(str(y) for y in x) And the conversion function for imports as follows: lambda x: [db.Key(y) for y in x.split(":")] -Nick Johnson On Thu, Sep 10, 2009 at 3:43 PM, mjbruder <mjbru...@gmail.com> wrote: > > I'm attempting to use the bulkloader to load data into my app. I have > my loader/exporter set up with the following classes: > > class FoodItemLoader(bulkloader.Loader): > def __init__(self): > > bulkloader.Loader.__init__(self, 'FoodItem', > [('author', str), > ('name', str), > ('brand', str), > ('price', str), > ('category', str), > ('stores', list) > ]) > > class FoodItemExporter(bulkloader.Exporter): > def __init__(self): > bulkloader.Exporter.__init__(self, 'FoodItem', > [('author', str, None), > ('name', str, None), > ('brand', str, None), > ('price', str, None), > ('category', str, None), > ('stores', list, None), > ]) > > exporters = [FoodItemExporter] > loaders = [FoodItemLoader] > > --- > > The exporter seems to work fine, and it exports a column with the > following type of data in it for the stores list property > "[datastore_types.Key.from_path(u'Store', 3002L, > _app_id_namespace=u'grocerygeek')]" > > Unfortunately, I cannot use this same format to load data into my > datastore because it gives me the following error "BadValueError: > Items in the stores list must all be Key instances" > > Is there a way I can format my CSV file or my code to accept this type > of data? > > > > -- Nick Johnson, Developer Programs Engineer, App Engine --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Google App Engine" group. To post to this group, send email to google-appengine@googlegroups.com To unsubscribe from this group, send email to google-appengine+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/google-appengine?hl=en -~----------~----~----~----~------~----~------~--~---