def test_get_temporal_property(self, two_output_metrics, interval_set):
"""Access different temporal resolutions for different metadata
"""
outputs = MetadataSet(two_output_metrics)
assert outputs.get_temporal_res('total_cost') == interval_set
assert outputs.get_temporal_res('water_demand') == interval_set
with raises(KeyError) as ex:
outputs.get_temporal_res('missing')
assert "No metadata found for name 'missing'" in str(ex.value)
def test_create_metadata_set(self, interval_set, region_set):
"""Create MetadataSet to hold a list of Metadata
"""
metadata_list = [{
"name": "heat_demand",
"spatial_resolution": region_set,
"temporal_resolution": interval_set,
"units": "kilowatt"
}]
metadata_set = MetadataSet(metadata_list)
# direct access to single metadata
metadata = metadata_set["heat_demand"]
assert metadata.name == "heat_demand"
assert metadata.spatial_resolution == region_set
assert metadata.temporal_resolution == interval_set
assert metadata.units == "kilowatt"
# direct access to list of contained metadata
assert len(metadata_set) == 1
assert metadata_set.metadata == [
Metadata("heat_demand", region_set, interval_set, "kilowatt")
]
# access single metadata attribute
assert metadata_set.get_spatial_res("heat_demand") == region_set
assert metadata_set.get_temporal_res("heat_demand") == interval_set
assert metadata_set.get_units("heat_demand") == "kilowatt"
# access list of metadata attributes
assert metadata_set.names == ["heat_demand"]
assert metadata_set.spatial_resolutions == [region_set]
assert metadata_set.temporal_resolutions == [interval_set]
assert metadata_set.units == ["kilowatt"]