# This is a test for from_features function, which 
# in geopandas reads the  __geo_interface__ from other libraries.
# This test currently fails.
# 2015-09-17 I'm using a recent development version of geopandas

import geopandas as gpd

class geoEmptyClass:
    pass

global_cities = geoEmptyClass()

global_cities.__geo_interface__ = {
    "type": "FeatureCollection",
    "features": [
        {
            "type": "Feature",
            "geometry": {
                "type": "Point",
                "coordinates": [
                    2.3508,
                    48.8567
                ]
            },
            "properties": {
                "name": "Paris"
            }
        },
        {
            "type": "Feature",
            "geometry": {
                "type": "Point",
                "coordinates": [
                    114.2,
                    22.3
                ]
            },
            "properties": {
                "name": "Hong Kong"
            }
        }
    ]
}

london_gi = geoEmptyClass()
london_gi.__geo_interface__ = {
    "type": "Feature",
    "geometry": {
        "type": "Point",
        "coordinates": [
            -0.1275,
            51.507222
        ]
    },
    "properties": {
        "name": "London"
    }
}

if __name__ == "__main__":
	# this works fine
	df_london = gpd.GeoDataFrame.from_features([london_gi])
	
	# from_features currently fails because geopandas doesn't currently
	# support reading FeatureCollections from the __geo_interface__
	df_cities = gpd.GeoDataFrame.from_features([global_cities])