def test_metadata_drop_dimension():
metadata = CollectionMetadata({
"cube:dimensions": {
"t": {
"type": "temporal"
},
"b": {
"type": "bands",
"values": ["red", "green"]
},
}
})
new = metadata.drop_dimension("t")
assert metadata.dimension_names() == ["t", "b"]
assert new.dimension_names() == ["b"]
assert new.band_dimension.band_names == ["red", "green"]
new = metadata.drop_dimension("b")
assert metadata.dimension_names() == ["t", "b"]
assert new.dimension_names() == ["t"]
assert new.temporal_dimension.name == "t"
with pytest.raises(ValueError):
metadata.drop_dimension("x")
def test_metadata_reduce_dimension():
metadata = CollectionMetadata({
"cube:dimensions": {
"x": {"type": "spatial"},
"b": {"type": "bands", "values": ["red", "green"]}
}
})
reduced = metadata.reduce_dimension("b")
assert set(metadata.dimension_names()) == {"x", "b"}
assert set(reduced.dimension_names()) == {"x"}
def test_metadata_add_temporal_dimension():
metadata = CollectionMetadata({
"cube:dimensions": {
"x": {"type": "spatial"}
}
})
new = metadata.add_dimension("date", "2020-05-15", "temporal")
assert metadata.dimension_names() == ["x"]
assert not metadata.has_temporal_dimension()
assert new.has_temporal_dimension()
assert new.dimension_names() == ["x", "date"]
assert new.temporal_dimension.name == "date"
assert new.temporal_dimension.extent == ["2020-05-15", "2020-05-15"]
def test_metadata_add_band_dimension():
metadata = CollectionMetadata({
"cube:dimensions": {
"t": {"type": "temporal"}
}
})
new = metadata.add_dimension("layer", "red", "bands")
assert metadata.dimension_names() == ["t"]
assert not metadata.has_band_dimension()
assert new.has_band_dimension()
assert new.dimension_names() == ["t", "layer"]
assert new.band_dimension.name == "layer"
assert new.band_names == ["red"]
