mirror of
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113 lines
3.8 KiB
Python
113 lines
3.8 KiB
Python
#!/usr/bin/env python
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"""An object representing EE Features."""
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# Using lowercase function naming to match the JavaScript names.
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# pylint: disable=g-bad-name
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from . import apifunction
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from . import computedobject
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from . import ee_exception
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from . import element
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from . import geometry
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class Feature(element.Element):
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"""An object representing EE Features."""
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_initialized = False
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def __init__(self, geom, opt_properties=None):
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"""Creates a feature a geometry or computed object.
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Features can be constructed from one of the following arguments plus an
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optional dictionary of properties:
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1) An ee.Geometry.
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2) A GeoJSON Geometry.
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3) A GeoJSON Feature.
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4) A computed object - reinterpreted as a geometry if properties
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are specified, and as a feature if they aren't.
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Args:
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geom: A geometry or feature.
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opt_properties: A dictionary of metadata properties. If the first
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parameter is a Feature (instead of a geometry), this is unused.
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Raises:
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EEException: if the given geometry isn't valid.
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"""
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if isinstance(geom, Feature):
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if opt_properties is not None:
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raise ee_exception.EEException(
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'Can\'t create Feature out of a Feature and properties.')
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# A pre-constructed Feature. Copy.
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super(Feature, self).__init__(geom.func, geom.args)
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return
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self.initialize()
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feature_constructor = apifunction.ApiFunction.lookup('Feature')
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if geom is None or isinstance(geom, geometry.Geometry):
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# A geometry object.
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super(Feature, self).__init__(feature_constructor, {
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'geometry': geom,
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'metadata': opt_properties or None
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})
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elif isinstance(geom, computedobject.ComputedObject):
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# A custom object to reinterpret as a Feature.
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super(Feature, self).__init__(geom.func, geom.args, geom.varName)
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elif isinstance(geom, dict) and geom.get('type') == 'Feature':
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properties = geom.get('properties', {})
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if 'id' in geom:
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if 'system:index' in properties:
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raise ee_exception.EEException(
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'Can\'t specify both "id" and "system:index".')
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properties = properties.copy()
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properties['system:index'] = geom['id']
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# Try to convert a GeoJSON Feature.
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super(Feature, self).__init__(feature_constructor, {
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'geometry': geometry.Geometry(geom.get('geometry', None)),
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'metadata': properties
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})
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else:
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# Try to convert the geometry arg to a Geometry, in the hopes of it
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# turning out to be GeoJSON.
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super(Feature, self).__init__(feature_constructor, {
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'geometry': geometry.Geometry(geom),
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'metadata': opt_properties or None
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})
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@classmethod
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def initialize(cls):
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"""Imports API functions to this class."""
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if not cls._initialized:
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apifunction.ApiFunction.importApi(cls, 'Feature', 'Feature')
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cls._initialized = True
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@classmethod
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def reset(cls):
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"""Removes imported API functions from this class."""
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apifunction.ApiFunction.clearApi(cls)
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cls._initialized = False
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def getMapId(self, vis_params=None):
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"""Fetch and return a map id and token, suitable for use in a Map overlay.
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Args:
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vis_params: The visualization parameters. Currently only one parameter,
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'color', containing a hex RGB color string is allowed.
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Returns:
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A map ID dictionary as described in ee.data.getMapId, including an
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additional 'image' field containing Collection.draw image wrapping a
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FeatureCollection containing this feature.
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"""
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# Create a collection containing this one feature and render it.
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collection = apifunction.ApiFunction.call_('Collection', [self])
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return collection.getMapId(vis_params)
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@staticmethod
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def name():
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return 'Feature'
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