def __find_places(ctx: ServiceContext,
place_group_id: str,
base_url: str,
query_geometry: shapely.geometry.base.BaseGeometry = None,
query_expr: Any = None,
comb_op: str = "and") -> GeoJsonFeatureCollection:
if comb_op is not None and comb_op != "and":
raise NotImplementedError("comb_op not yet supported")
if place_group_id == ALL_PLACES:
place_groups = ctx.get_global_place_groups(base_url, load_features=True)
features = []
for place_group in place_groups:
features.extend(place_group['features'])
feature_collection = dict(type="FeatureCollection", features=features)
else:
feature_collection = ctx.get_global_place_group(place_group_id, base_url, load_features=True)
feature_collection = dict(type="FeatureCollection", features=feature_collection['features'])
if query_geometry is None:
if query_expr is None:
return feature_collection
else:
raise NotImplementedError()
else:
matching_places = []
if query_expr is None:
for feature in feature_collection['features']:
geometry = shapely.geometry.shape(feature['geometry'])
if geometry.intersects(query_geometry):
matching_places.append(feature)
else:
raise NotImplementedError()
return dict(type="FeatureCollection", features=matching_places)
def find_features(features, query_geometry):
matching_features = dict()
for feature_id, feature in features.items():
geometry = shapely.geometry.shape(feature["geometry"])
if geometry.intersects(query_geometry):
matching_features[feature_id] = feature
return matching_features
def __find_places(ctx: ServiceContext,
collection_name: str,
query_geometry: shapely.geometry.base.BaseGeometry = None,
query_expr: Any = None,
comb_op: str = "and") -> GeoJsonFeatureCollection:
place_group = ctx.get_place_group(collection_name)
if query_geometry is None:
if query_expr is None:
return place_group
else:
raise NotImplementedError()
else:
matching_places = []
if query_expr is None:
for place in place_group["features"]:
geometry = shapely.geometry.shape(place["geometry"])
if geometry.intersects(query_geometry):
matching_places.append(place)
else:
raise NotImplementedError()
return dict(type="FeatureCollection", features=matching_places)