def test_encode_failrange():
testdata = np.zeros((2))
testdata[1] = 256 ** 3 + 1
with pytest.raises(ValueError):
data_to_rgb(testdata, 0, 1)
def test_encode_failrange():
testdata = np.zeros((2))
testdata[1] = 256**3 + 1
with pytest.raises(ValueError):
data_to_rgb(testdata, 0, 1)
def test_encode_data_roundtrip():
minrand, maxrand = np.sort(np.random.randint(-427, 8848, 2))
testdata = np.round(
(np.sum(np.dstack(np.indices((512, 512), dtype=np.float64)), axis=2) /
(511. + 511.)) * maxrand, 2) + minrand
baseval = -1000
interval = 0.1
rtripped = _decode(data_to_rgb(testdata.copy(), baseval, interval),
baseval, interval)
assert testdata.min() == rtripped.min()
assert testdata.max() == rtripped.max()
def tile(
tile_z,
tile_x,
tile_y,
tileformat,
indexes=1,
shadder=None,
colormap=None,
range=None,
):
"""Handle tile requests"""
if tileformat == "jpg":
tileformat = "jpeg"
if colormap and shadder:
return ("NOK", "text/plain",
"Cannot pass shadder and colormap options")
address = f"s3://elevation-tiles-prod/geotiff/{tile_z}/{tile_x}/{tile_y}.tif"
data, mask = main.tile(address,
tile_x,
tile_y,
tile_z,
indexes=indexes,
tilesize=512)
if shadder:
tileformat = "png"
if shadder == "mapbox":
tile = encoders.data_to_rgb(data[0], -10000, 1)
elif shadder == "mapzen":
tile = mapzen_elevation_rgb.data_to_rgb(data)
else:
return ("NOK", "text/plain", f"Invalid shadder mode: {shadder}")
else:
if not range:
range = "0,10000"
histoCut = list(map(int, range.split(',')))
tile = numpy.where(
mask, linear_rescale(data, in_range=histoCut, out_range=[0, 255]),
0)
options = dict(mask=mask)
if colormap:
options.update(color_map=get_colormap(name=colormap))
img = array_to_img(tile, **options)
return ("OK", f"image/{tileformat}", img_to_buffer(img, tileformat))
def test_encode_data_roundtrip():
minrand, maxrand = np.sort(np.random.randint(-427, 8848, 2))
testdata = np.round((np.sum(
np.dstack(
np.indices((512, 512),
dtype=np.float64)),
axis=2) / (511. + 511.)) * maxrand, 2) + minrand
baseval = -1000
interval = 0.1
rtripped = _decode(data_to_rgb(testdata.copy(), baseval, interval), baseval, interval)
assert testdata.min() == rtripped.min()
assert testdata.max() == rtripped.max()
def _tile_worker(tile):
"""
For each tile, and given an open rasterio src, plus a`global_args` dictionary
with attributes of `base_val`, `interval`, and a `writer_func`,
warp a continous single band raster to a 512 x 512 mercator tile,
then encode this tile into RGB.
Parameters
-----------
tile: list
[x, y, z] indices of tile
Returns
--------
tile, buffer
tuple with the input tile, and a bytearray with the data encoded into
the format created in the `writer_func`
"""
x, y, z = tile
bounds = [
c for i in (
mercantile.xy(*mercantile.ul(x, y + 1, z)),
mercantile.xy(*mercantile.ul(x + 1, y, z)),
) for c in i
]
toaffine = transform.from_bounds(*bounds + [512, 512])
out = np.empty((512, 512), dtype=src.meta["dtype"])
reproject(
rasterio.band(src, 1),
out,
dst_transform=toaffine,
dst_crs="epsg:3857",
resampling=Resampling.bilinear,
)
out = data_to_rgb(out, global_args["base_val"], global_args["interval"])
return tile, global_args["writer_func"](out, global_args["kwargs"].copy(),
toaffine)
def _tile_worker(tile):
"""
For each tile, and given an open rasterio src, plus a`global_args` dictionary
with attributes of `base_val`, `interval`, and a `writer_func`,
warp a continous single band raster to a 512 x 512 mercator tile,
then encode this tile into RGB.
Parameters
-----------
tile: list
[x, y, z] indices of tile
Returns
--------
tile, buffer
tuple with the input tile, and a bytearray with the data encoded into
the format created in the `writer_func`
"""
x, y, z = tile
bounds = [c for i in (mercantile.xy(*mercantile.ul(x, y + 1, z)),
mercantile.xy(*mercantile.ul(x + 1, y, z))) for c in i]
toaffine = transform.from_bounds(*bounds + [512, 512])
out = np.empty((512, 512), dtype=src.meta['dtype'])
reproject(
rasterio.band(src, 1), out,
dst_transform=toaffine,
dst_crs="epsg:3857",
resampling=RESAMPLING.bilinear)
out = data_to_rgb(out, global_args['base_val'], global_args['interval'])
return tile, global_args['writer_func'](out, global_args['kwargs'].copy(), toaffine)
def tile(
z,
x,
y,
scale=1,
ext="png",
url=None,
indexes=None,
expr=None,
nodata=None,
rescale=None,
color_formula=None,
color_map=None,
dem=None,
):
"""Handle tile requests."""
if ext == "jpg":
driver = "jpeg"
elif ext == "jp2":
driver = "JP2OpenJPEG"
else:
driver = ext
if indexes and expr:
raise TilerError("Cannot pass indexes and expression")
if not url:
raise TilerError("Missing 'url' parameter")
if indexes:
indexes = tuple(int(s) for s in re.findall(r"\d+", indexes))
tilesize = scale * 256
if nodata is not None:
nodata = numpy.nan if nodata == "nan" else float(nodata)
if expr is not None:
tile, mask = expression(url, x, y, z, expr, tilesize=tilesize)
else:
tile, mask = main.tile(url,
x,
y,
z,
indexes=indexes,
tilesize=tilesize)
if dem:
if dem == "mapbox":
tile = encoders.data_to_rgb(tile, -10000, 1)
elif dem == "mapzen":
tile = mapzen_elevation_rgb.data_to_rgb(tile)
else:
return ("NOK", "text/plain", 'Invalid "dem" mode')
else:
rtile, rmask = _postprocess(tile,
mask,
tilesize,
rescale=rescale,
color_formula=color_formula)
if color_map:
color_map = get_colormap(color_map, format="gdal")
options = img_profiles.get(driver, {})
return (
"OK",
f"image/{ext}",
array_to_image(rtile,
rmask,
img_format=driver,
color_map=color_map,
**options),
)
def _rgb_worker(data, window, ij, g_args):
return data_to_rgb(data[0][g_args["bidx"] - 1], g_args["base_val"],
g_args["interval"])
def tiles(
z,
x,
y,
scale=1,
ext="png",
url=None,
nodata=None,
indexes=None,
rescale=None,
color_ops=None,
color_map=None,
dem=None,
):
"""
Handle Raster /tiles requests.
Note: All the querystring parameters are translated to function keywords
and passed as string value by lambda_proxy
Attributes
----------
z : int, required
Mercator tile ZOOM level.
x : int, required
Mercator tile X index.
y : int, required
Mercator tile Y index.
scale : int
Output scale factor (default: 1).
ext : str
Image format to return (default: png).
url : str, required
Dataset url to read from.
indexes : str, optional, (defaults: None)
Comma separated band index number (e.g "1,2,3").
nodata, str, optional
Custom nodata value if not preset in dataset.
rescale : str, optional
Min and Max data bounds to rescale data from.
color_ops : str, optional
rio-color compatible color formula
color_map : str, optional
Rio-tiler compatible colormap name ("cfastie" or "schwarzwald")
dem : str, optional
Create Mapbox or Mapzen RGBA encoded elevation image
Returns
-------
status : str
Status of the request (e.g. OK, NOK).
MIME type : str
response body MIME type (e.g. image/jpeg).
body : bytes
Image body.
"""
if not url:
raise TilerError("Missing 'url' parameter")
if indexes:
indexes = tuple(int(s) for s in re.findall(r"\d+", indexes))
if nodata is not None and isinstance(nodata, str):
nodata = numpy.nan if nodata == "nan" else float(nodata)
tilesize = 256 * scale
tile, mask = main.tile(url,
x,
y,
z,
indexes=indexes,
tilesize=tilesize,
nodata=nodata)
if dem:
if dem == "mapbox":
tile = encoders.data_to_rgb(tile, -10000, 1)
elif dem == "mapzen":
tile = mapzen_elevation_rgb.data_to_rgb(tile)
else:
return ("NOK", "text/plain", 'Invalid "dem" mode')
else:
rtile, rmask = _postprocess_tile(tile,
mask,
rescale=rescale,
color_ops=color_ops)
if color_map:
color_map = get_colormap(color_map, format="gdal")
driver = "jpeg" if ext == "jpg" else ext
options = img_profiles.get(driver, {})
return (
"OK",
f"image/{ext}",
array_to_image(rtile,
rmask,
img_format=driver,
color_map=color_map,
**options),
)
def tile(
z: int,
x: int,
y: int,
scale: int = 1,
ext: str = None,
url: str = None,
indexes: Union[str, Tuple[int]] = None,
expr: str = None,
nodata: Union[str, int, float] = None,
rescale: str = None,
color_formula: str = None,
color_map: str = None,
dem: str = None,
) -> Tuple[str, str, BinaryIO]:
"""Handle tile requests."""
driver = "jpeg" if ext == "jpg" else ext
if indexes and expr:
raise TilerError("Cannot pass indexes and expression")
if not url:
raise TilerError("Missing 'url' parameter")
if isinstance(indexes, str):
indexes = tuple(int(s) for s in re.findall(r"\d+", indexes))
if nodata is not None:
nodata = numpy.nan if nodata == "nan" else float(nodata)
tilesize = scale * 256
if expr is not None:
tile, mask = expression(url,
x,
y,
z,
expr=expr,
tilesize=tilesize,
nodata=nodata)
else:
tile, mask = main.tile(url,
x,
y,
z,
indexes=indexes,
tilesize=tilesize,
nodata=nodata)
if dem:
if dem == "mapbox":
tile = encoders.data_to_rgb(tile, -10000, 1)
elif dem == "mapzen":
tile = mapzen_elevation_rgb.data_to_rgb(tile)
else:
return ("NOK", "text/plain", 'Invalid "dem" mode')
else:
rtile, rmask = _postprocess(tile,
mask,
rescale=rescale,
color_formula=color_formula)
if color_map:
color_map = get_colormap(color_map, format="gdal")
options = img_profiles.get(driver, {})
return (
"OK",
f"image/{ext}",
array_to_image(rtile,
rmask,
img_format=driver,
color_map=color_map,
**options),
)
def _rgb_worker(data, window, ij, g_args):
return data_to_rgb(data[0][g_args['bidx'] - 1],
g_args['base_val'],
g_args['interval'])
def _rgb_worker(data, window, ij, g_args):
return data_to_rgb(data[0][g_args['bidx'] - 1], g_args['base_val'],
g_args['interval'])