def get_dataset_tile(ctx: ServiceContext, ds_id: str, var_name: str, x: str,
y: str, z: str, params: RequestParams):
x = RequestParams.to_int('x', x)
y = RequestParams.to_int('y', y)
z = RequestParams.to_int('z', z)
tile_comp_mode = params.get_query_argument_int('mode', ctx.tile_comp_mode)
trace_perf = params.get_query_argument_int('debug', ctx.trace_perf) != 0
cmap_name = params.get_query_argument('cbar', default=None)
cmap_vmin = params.get_query_argument_float('vmin', default=None)
cmap_vmax = params.get_query_argument_float('vmax', default=None)
if cmap_name is None or cmap_vmin is None or cmap_vmax is None:
default_cmap_name, default_cmap_vmin, default_cmap_vmax = ctx.get_color_mapping(
ds_id, var_name)
cmap_name = cmap_name or default_cmap_name
cmap_vmin = cmap_vmin or default_cmap_vmin
cmap_vmax = cmap_vmax or default_cmap_vmax
ml_dataset = ctx.get_ml_dataset(ds_id)
var = ml_dataset.base_dataset[var_name]
labels = parse_non_spatial_labels(params.get_query_arguments(),
var.dims,
var.coords,
allow_slices=False,
exception_type=ServiceBadRequestError)
return get_ml_dataset_tile(ml_dataset,
var_name,
x,
y,
z,
labels=labels,
cmap_name=cmap_name,
cmap_vmin=cmap_vmin,
cmap_vmax=cmap_vmax,
image_cache=ctx.image_cache,
tile_cache=ctx.tile_cache,
tile_comp_mode=tile_comp_mode,
trace_perf=trace_perf,
exception_type=ServiceBadRequestError)
def get_dataset_tile(ctx: ServiceContext, ds_id: str, var_name: str, x: str,
y: str, z: str, params: RequestParams):
x = RequestParams.to_int('x', x)
y = RequestParams.to_int('y', y)
z = RequestParams.to_int('z', z)
tile_comp_mode = params.get_query_argument_int('mode', ctx.tile_comp_mode)
trace_perf = params.get_query_argument_int('debug', ctx.trace_perf) != 0
ml_dataset = ctx.get_ml_dataset(ds_id)
if var_name == 'rgb':
norm_vmin = params.get_query_argument_float('vmin', default=0.0)
norm_vmax = params.get_query_argument_float('vmax', default=1.0)
var_names, norm_ranges = ctx.get_rgb_color_mapping(
ds_id, norm_range=(norm_vmin, norm_vmax))
components = ('r', 'g', 'b')
for i in range(3):
c = components[i]
var_names[i] = params.get_query_argument(c, default=var_names[i])
norm_ranges[i] = params.get_query_argument_float(f'{c}vmin', default=norm_ranges[i][0]), \
params.get_query_argument_float(f'{c}vmax', default=norm_ranges[i][1])
cmap_name = tuple(var_names)
cmap_range = tuple(norm_ranges)
for name in var_names:
if name and name not in ml_dataset.base_dataset:
raise ServiceBadRequestError(
f'Variable {name!r} not found in dataset {ds_id!r}')
var = None
for name in var_names:
if name and name in ml_dataset.base_dataset:
var = ml_dataset.base_dataset[name]
break
if var is None:
raise ServiceBadRequestError(
f'No variable in dataset {ds_id!r} specified for RGB')
else:
cmap_name = params.get_query_argument('cbar', default=None)
cmap_vmin = params.get_query_argument_float('vmin', default=None)
cmap_vmax = params.get_query_argument_float('vmax', default=None)
if cmap_name is None or cmap_vmin is None or cmap_vmax is None:
default_cmap_name, (default_cmap_vmin,
default_cmap_vmax) = ctx.get_color_mapping(
ds_id, var_name)
cmap_name = cmap_name or default_cmap_name
cmap_vmin = cmap_vmin or default_cmap_vmin
cmap_vmax = cmap_vmax or default_cmap_vmax
cmap_range = cmap_vmin, cmap_vmax
if var_name not in ml_dataset.base_dataset:
raise ServiceBadRequestError(
f'Variable {var_name!r} not found in dataset {ds_id!r}')
var = ml_dataset.base_dataset[var_name]
labels = parse_non_spatial_labels(params.get_query_arguments(),
var.dims,
var.coords,
allow_slices=False,
exception_type=ServiceBadRequestError)
return get_ml_dataset_tile(ml_dataset,
var_name,
x,
y,
z,
labels=labels,
cmap_name=cmap_name,
cmap_range=cmap_range,
image_cache=ctx.image_cache,
tile_cache=ctx.tile_cache,
tile_comp_mode=tile_comp_mode,
trace_perf=trace_perf,
exception_type=ServiceBadRequestError)