def test_RBGAMapped_Masking(product_layer_mask_map, style_cfg_map_mask):
def fake_make_mask(data, **kwargs):
val = kwargs["bar"]
return data == val
band = np.array([0, 0, 1, 1, 2, 2])
today = datetime.date.today()
da = DataArray(band, name='foo')
ds = DatasetCollection()
ds.add_time(today, Dataset(data_vars={'foo': da}))
with patch('datacube_ows.band_mapper.make_mask',
new_callable=lambda: fake_make_mask) as fmm:
style_def = StyleDef(product_layer_mask_map, style_cfg_map_mask)
data = style_def.transform_data(ds, None, None)
r = data["red"]
g = data["green"]
b = data["blue"]
a = data["alpha"]
assert (r[2:3:1] == 0)
assert (g[2:3:1] == 0)
assert (b[2:3:1] == 0)
assert (a[2:3:1] == 0)
assert (r[4:5:1] == 255)
assert (g[4:5:1] == 255)
assert (b[4:5:1] == 255)
assert (a[4:5:1] == 255)
def test_alpha_style_map(product_layer_alpha_map, style_cfg_map_alpha_1,
style_cfg_map_alpha_2, style_cfg_map_alpha_3):
def fake_make_mask(data, **kwargs):
return data
band = np.array([True, True, True])
time = datetime.date.today()
da = DataArray(band, name='foo')
dsc = DatasetCollection()
ds = Dataset(data_vars={'foo': da})
dsc.add_time(time, ds)
with patch('datacube_ows.band_mapper.make_mask',
new_callable=lambda: fake_make_mask) as fmm:
style_def = StyleDef(product_layer_alpha_map, style_cfg_map_alpha_1)
result = style_def.transform_data(dsc, None, None)
alpha_channel = result["alpha"].values
assert (alpha_channel == 0).all()
style_def = StyleDef(product_layer_alpha_map, style_cfg_map_alpha_2)
result = style_def.transform_data(dsc, None, None)
alpha_channel = result["alpha"].values
assert (alpha_channel == 127).all()
style_def = StyleDef(product_layer_alpha_map, style_cfg_map_alpha_3)
result = style_def.transform_data(dsc, None, None)
alpha_channel = result["alpha"].values
assert (alpha_channel == 255).all()
def test_alpha_style_map(product_layer_alpha_map, style_cfg_map_alpha_1,
style_cfg_map_alpha_2, style_cfg_map_alpha_3):
def fake_make_mask(data, **kwargs):
return data
band = np.array([True, True, True])
timarray = [np.datetime64(datetime.date.today())]
times = DataArray(timarray, coords=[timarray], dims=["time"], name="time")
da = DataArray(band, name='foo')
dst = Dataset(data_vars={'foo': da})
ds = concat([dst], times)
with patch('datacube_ows.band_mapper.make_mask',
new_callable=lambda: fake_make_mask) as fmm:
style_def = StyleDef(product_layer_alpha_map, style_cfg_map_alpha_1)
result = style_def.transform_data(ds, None, None)
alpha_channel = result["alpha"].values
assert (alpha_channel == 0).all()
style_def = StyleDef(product_layer_alpha_map, style_cfg_map_alpha_2)
result = style_def.transform_data(ds, None, None)
alpha_channel = result["alpha"].values
assert (alpha_channel == 127).all()
style_def = StyleDef(product_layer_alpha_map, style_cfg_map_alpha_3)
result = style_def.transform_data(ds, None, None)
alpha_channel = result["alpha"].values
assert (alpha_channel == 255).all()
def test_dynamic_range_compression_scale_range(product_layer, style_cfg_lin):
style_cfg_lin["scale_range"] = [-3000, 3000]
style_def = StyleDef(product_layer, style_cfg_lin)
assert style_def.scale_min == -3000
assert style_def.scale_max == 3000
band = np.zeros(3)
band[0] = -3000
band[1] = 0
band[2] = 3000
compressed = style_def.compress_band("red", band)
assert compressed[0] == 0
assert compressed[1] == 255 / 2
assert compressed[2] == 255
def parse_styling(self, cfg):
self.styles = list([StyleDef(self, s) for s in cfg["styles"]])
self.style_index = {s.name: s for s in self.styles}
if "default_style" in cfg:
if cfg["default_style"] not in self.style_index:
raise ConfigException(
"Default style %s is not in the 'styles' for layer %s" %
(cfg["default_style"], self.name))
self.default_style = self.style_index[cfg["default_style"]]
else:
self.default_style = self.styles[0]
def test_dynamic_range_compression_scale_factor(product_layer, style_cfg_lin):
del style_cfg_lin["scale_range"]
style_cfg_lin["scale_factor"] = 2.5
style_def = StyleDef(product_layer, style_cfg_lin)
assert style_def.scale_min == 0.0
assert style_def.scale_max == 637.5
band = np.zeros(3)
band[0] = -3000
band[1] = 0
band[2] = 3000
def test_correct_style_hybrid(product_layer, style_cfg_lin):
style_cfg_lin["component_ratio"] = 1.0
style_cfg_lin["range"] = [1, 2]
style_cfg_lin["index_function"] = {
"function": "datacube_ows.band_utils.constant",
"pass_product_cfg": True,
"kwargs": {
"const": "0.1"
}
}
style_def = StyleDef(product_layer, style_cfg_lin)
assert isinstance(style_def, bm.HybridStyleDef)
def test_correct_style_ramp(product_layer, style_cfg_ramp):
style_def = StyleDef(product_layer, style_cfg_ramp)
assert isinstance(style_def, bm.RgbaColorRampDef)
def test_correct_style_map(product_layer, style_cfg_map):
style_def = StyleDef(product_layer, style_cfg_map)
assert isinstance(style_def, bm.RGBAMappedStyleDef)
def test_correct_style_linear(product_layer, style_cfg_lin):
style_def = StyleDef(product_layer, style_cfg_lin)
assert isinstance(style_def, bm.LinearStyleDef)
