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Usage
How to use GeoModel
Featured Creating and saving GeoModel-derived entitiesTo use the GeoModel class, simply declare a new model class inheriting from the geo.GeoModel class like so: from geo.geomodel import GeoModel class MyEntity(GeoModel): foo = db.StringProperty() bar = db.IntegerProperty() Currently, only single-point entities are supported. Entities of the new MyEntity kind will have a location property of type db.GeoPt, which can be set as needed. Before put()'ing entities to the datastore, make sure to call update_location to synchronize the entity's underlying geocell indexing properties: some_entity = MyEntity(location=db.GeoPt(37, -122),
foo='Hello',
bar=5)
...
some_entity.location = db.GeoPt(38, -122)
some_entity.update_location()
some_entity.put()Querying your entitiesThere are currently two types of basic geospatial queries supported by the GeoModel library:
To perform a bounding box query, use the bounding_box_fetch class method like so: results = MyEntity.bounding_box_fetch(
MyEntity.all().filter('bar >', 5), # Rich query!
geotypes.Box(39, -121, 37, -123),
max_results=10)Be careful not to request too many results or else you'll get a datastore or request timeout! To perform a proximity query, use the proximity_fetch class method like so: resuts = MyEntity.proximity_fetch(
MyEntity.all().filter('bar <', 10), # Rich query!
geotypes.Point(39, -121), # Or db.GeoPt
max_results=10,
max_distance=80467) # Within 50 miles.Note that for rich queries on multiple properties you'll need to set up the proper indexes in your index.yaml file. Testing your app on the development server should populate that file with the required indexes. Also, GeoModel currently requires many internal properties on each entity (one for each geocell resolution), which can lead to messy looking index.yaml files. That's something that will hopefully change in future versions. |
Looks fantastic
I'll be giving this a go very soon.
I tried it. It is very convenient, but also very costly. A proximity_fetch on a ancestor query takes between 20000 and 60000 cpu+api_ms and has cpm_usd=0.327598. That is quite high. Not sure if it can be optimized.
Thank you very much for that guys! Made my life so much easier -- proximity_fetch is query expensive, but works like charm!
How Can I install geomodel on my app on AppEngine??
proximity_fetch does not work for me.. I always get 0 objects back, even if I use the same coordinates the whole time. Has anyone experienced the same problem?
@oggystyl: Yes, I am experiencing the same issue. Were you able to resolve it?
Resolved. I forgot this line when saving: some_entity.update_location()
Hi, I try to use it and get an error: <type 'exceptions.ImportError?'>: No module named geo.geomodel
on line from geo.geomodel import GeoModel?
any ideas on how to fix that?
ok it was a silly first python/google engine app problem. for the other begginers: download .egg file: http://pypi.python.org/pypi/geomodel/0.2.0 change .egg to .zip unzip file in the root directory of your app engine project so you get the geo/ directory
What am I doing wrong?
I'm getting when I try this via unit tests using GAEUnit.
File "test/datastore_tests.py", line 100, in retrieve_messages
AssertionError?: 2 != 1Seems it's retrieving both test messages which it shouldn't.
def retrieve_messages(self):
I haven't tried in normal code (i.e. non-unit testing).
Thanks in advance,
Matt
Can i have the same example code in java plz ?