def test_expression_missing():
"""Should raise an exception on missing expression."""
tile_z = 19
tile_x = 109554
tile_y = 200458
prefix = os.path.join(os.path.dirname(__file__), "fixtures")
sceneid = "{}/my-bucket/hro_sources/colorado/201404_13SED190110_201404_0x1500m_CL_1.tif".format(
prefix)
with pytest.raises(Exception):
utils.expression(sceneid, tile_x, tile_y, tile_z, tilesize=512)
def tile(
scene: str,
z: int,
x: int,
y: int,
scale: int = 1,
ext: str = "png",
bands: str = None,
percents: str = "",
expr: str = None,
rescale: str = None,
color_formula: str = None,
color_map: str = None,
) -> Tuple[str, str, BinaryIO]:
"""Handle tile requests."""
driver = "jpeg" if ext == "jpg" else ext
if bands and expr:
raise CbersTilerError("Cannot pass bands and expression")
tilesize = scale * 256
if expr is not None:
tile, mask = expression(scene, x, y, z, expr=expr, tilesize=tilesize)
elif bands is not None:
tile, mask = cbers_tile(scene,
x,
y,
z,
bands=tuple(bands.split(",")),
tilesize=tilesize,
percents=percents)
else:
raise CbersTilerError("No bands nor expression given")
if tile is None or mask is None:
return (
"OK",
f"image/png",
b'',
)
rtile, rmask = _postprocess(tile,
mask,
rescale=None,
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 ratio(scene, tile_z, tile_x, tile_y, tileformat):
"""Handle processing requests
"""
if tileformat == 'jpg':
tileformat = 'jpeg'
query_args = APP.current_request.query_params
query_args = query_args if isinstance(query_args, dict) else {}
ratio_value = query_args['ratio']
range_value = query_args.get('range', [-1, 1])
tilesize = query_args.get('tile', 256)
tilesize = int(tilesize) if isinstance(tilesize, str) else tilesize
tile, mask = expression(scene,
tile_x,
tile_y,
tile_z,
ratio_value,
tilesize=tilesize)
if len(tile.shape) == 2:
tile = np.expand_dims(tile, axis=0)
rtile = np.where(
mask, linear_rescale(tile, in_range=range_value, out_range=[0, 255]),
0).astype(np.uint8)
img = array_to_img(rtile,
color_map=get_colormap(name='cfastie'),
mask=mask)
str_img = b64_encode_img(img, tileformat)
return ('OK', f'image/{tileformat}', str_img)
def test_expression_main_ratio():
"""Should work as expected."""
expr = "(b3 - b2) / (b3 + b2)"
tile_z = 19
tile_x = 109554
tile_y = 200458
prefix = os.path.join(os.path.dirname(__file__), "fixtures")
sceneid = "{}/my-bucket/hro_sources/colorado/201404_13SED190110_201404_0x1500m_CL_1.tif".format(
prefix)
data, mask = utils.expression(sceneid, tile_x, tile_y, tile_z, expr)
data.shape == (1, 256, 256)
mask.shape == (256, 256)
data, mask = utils.expression(sceneid, tile_x, tile_y, tile_z, expr=expr)
data.shape == (1, 256, 256)
mask.shape == (256, 256)
def tile(
scene,
z,
x,
y,
scale=1,
ext="png",
bands=None,
expr=None,
rescale=None,
color_formula=None,
color_map=None,
):
"""Handle tile requests."""
if ext == "jpg":
driver = "jpeg"
elif ext == "jp2":
driver = "JP2OpenJPEG"
else:
driver = ext
if bands and expr:
raise CbersTilerError("Cannot pass bands and expression")
if not bands and not expr:
raise CbersTilerError("Need bands or expression")
if bands:
bands = tuple(bands.split(","))
tilesize = scale * 256
if expr is not None:
tile, mask = expression(scene, x, y, z, expr, tilesize=tilesize)
elif bands is not None:
tile, mask = cbers.tile(scene, x, y, z, bands=bands, tilesize=tilesize)
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 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,
) -> 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
)
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 test_expression_main_kwargs():
"""
Should work as expected
"""
expr = '(b4 - b3) / (b4 + b3)'
tile_z = 19
tile_x = 109554
tile_y = 200458
prefix = os.path.join(os.path.dirname(__file__), 'fixtures')
sceneid = '{}/my-bucket/hro_sources/colorado/201404_13SED190110_201404_0x1500m_CL_1_alpha.tif'.format(prefix)
data, mask = utils.expression(sceneid, tile_x, tile_y, tile_z, expr, tilesize=512)
data.shape == (1, 512, 512)
mask.shape == (512, 512)
def test_expression_main_rgb():
"""
Should work as expected
"""
expr = 'b1*0.8, b2*1.1, b3*0.8'
tile_z = 19
tile_x = 109554
tile_y = 200458
prefix = os.path.join(os.path.dirname(__file__), 'fixtures')
sceneid = '{}/my-bucket/hro_sources/colorado/201404_13SED190110_201404_0x1500m_CL_1.tif'.format(prefix)
data, mask = utils.expression(sceneid, tile_x, tile_y, tile_z, expr)
data.shape == (3, 256, 256)
mask.shape == (256, 256)
def test_expression_cbers_rgb(cbers_tile):
"""Should read tile from CBERS data."""
cbers_tile.return_value = [
np.random.randint(0, 255, size=(3, 256, 256), dtype=np.uint8),
np.random.randint(0, 1, size=(256, 256), dtype=np.uint8) * 255,
]
expr = "b8*0.8, b7*1.1, b6*0.8"
tile_z = 10
tile_x = 664
tile_y = 495
sceneid = "CBERS_4_MUX_20171121_057_094_L2"
data, mask = utils.expression(sceneid, tile_x, tile_y, tile_z, expr)
data.shape == (3, 512, 512)
mask.shape == (512, 512)
assert len(cbers_tile.call_args[1].get("bands")) == 3
def test_expression_landsat_rgb(landsat_tile):
"""Should work as expected."""
landsat_tile.return_value = [
np.random.randint(0, 255, size=(3, 256, 256), dtype=np.uint8),
np.random.randint(0, 1, size=(256, 256), dtype=np.uint8) * 255,
]
expr = "b5*0.8, b4*1.1, b3*0.8"
tile_z = 8
tile_x = 71
tile_y = 102
sceneid = "LC08_L1TP_016037_20170813_20170814_01_RT"
data, mask = utils.expression(sceneid, tile_x, tile_y, tile_z, expr)
data.shape == (3, 512, 512)
mask.shape == (512, 512)
assert len(landsat_tile.call_args[1].get("bands")) == 3
def test_expression_ndvi(landsat_tile):
"""Should work as expected"""
landsat_tile.return_value = [
np.random.randint(0, 255, size=(2, 256, 256), dtype=np.uint8),
np.random.randint(0, 1, size=(256, 256), dtype=np.uint8) * 255,
]
expr = "(b5 - b4) / (b5 + b4)"
tile_z = 8
tile_x = 71
tile_y = 102
sceneid = "LC08_L1TP_016037_20170813_20170814_01_RT"
data, mask = utils.expression(sceneid, tile_x, tile_y, tile_z, expr)
data.shape == (1, 256, 256)
mask.shape == (256, 256)
assert len(landsat_tile.call_args[1].get("bands")) == 2
def test_expression_sentinel2(sentinel2):
"""Should work as expected."""
sentinel2.return_value = [
np.random.randint(0, 255, size=(2, 256, 256), dtype=np.uint8),
np.random.randint(0, 1, size=(256, 256), dtype=np.uint8) * 255,
]
expr = "(b8A - b12) / (b8A + b12)"
tile_z = 8
tile_x = 71
tile_y = 102
sceneid = "S2A_tile_20170323_17SNC_0"
data, mask = utils.expression(sceneid, tile_x, tile_y, tile_z, expr)
data.shape == (1, 256, 256)
mask.shape == (256, 256)
assert sorted(list(sentinel2.call_args[1].get("bands"))) == ["12", "8A"]
def tile_handler(
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,
) -> Tuple[str, str, BinaryIO]:
"""Handle /tiles requests."""
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 = cogTiler.tile(
url, x, y, z, indexes=indexes, tilesize=tilesize, nodata=nodata
)
if not ext:
ext = "jpg" if mask.all() else "png"
rtile, rmask = _postprocess(
tile, mask, rescale=rescale, color_formula=color_formula
)
if color_map:
color_map = get_colormap(color_map, format="gdal")
if ext == "jpg":
driver = "jpeg"
elif ext == "tif":
driver = "GTiff"
else:
driver = ext
options = img_profiles.get(driver, {})
if driver == "GTiff":
mercator_tile = mercantile.Tile(x=x, y=y, z=z)
bounds = mercantile.xy_bounds(mercator_tile)
w, s, e, n = bounds
dst_transform = from_bounds(w, s, e, n, rtile.shape[1], rtile.shape[2])
options = dict(
dtype=rtile.dtype, crs={"init": "EPSG:3857"}, transform=dst_transform
)
return (
"OK",
f"image/{ext}",
array_to_image(rtile, rmask, img_format=driver, color_map=color_map, **options),
)
def get(self,
request,
pk=None,
project_pk=None,
tile_type="",
z="",
x="",
y="",
scale=1):
"""
Get a tile image
"""
task = self.get_and_check_task(request, pk)
z = int(z)
x = int(x)
y = int(y)
scale = int(scale)
ext = "png"
driver = "jpeg" if ext == "jpg" else ext
indexes = None
nodata = None
formula = self.request.query_params.get('formula')
bands = self.request.query_params.get('bands')
rescale = self.request.query_params.get('rescale')
color_map = self.request.query_params.get('color_map')
hillshade = self.request.query_params.get('hillshade')
if formula == '': formula = None
if bands == '': bands = None
if rescale == '': rescale = None
if color_map == '': color_map = None
if hillshade == '' or hillshade == '0': hillshade = None
try:
expr, _ = lookup_formula(formula, bands)
except ValueError as e:
raise exceptions.ValidationError(str(e))
if tile_type in ['dsm', 'dtm'] and rescale is None:
rescale = "0,1000"
if tile_type in ['dsm', 'dtm'] and color_map is None:
color_map = "gray"
if tile_type == 'orthophoto' and formula is not None:
if color_map is None:
color_map = "gray"
if rescale is None:
rescale = "-1,1"
if nodata is not None:
nodata = np.nan if nodata == "nan" else float(nodata)
tilesize = scale * 256
url = get_raster_path(task, tile_type)
if not os.path.isfile(url):
raise exceptions.NotFound()
with rasterio.open(url) as src:
minzoom, maxzoom = get_zoom_safe(src)
has_alpha = has_alpha_band(src)
if z < minzoom - ZOOM_EXTRA_LEVELS or z > maxzoom + ZOOM_EXTRA_LEVELS:
raise exceptions.NotFound()
# Handle N-bands datasets for orthophotos (not plant health)
if tile_type == 'orthophoto' and expr is None:
ci = src.colorinterp
# More than 4 bands?
if len(ci) > 4:
# Try to find RGBA band order
if ColorInterp.red in ci and \
ColorInterp.green in ci and \
ColorInterp.blue in ci:
indexes = (
ci.index(ColorInterp.red) + 1,
ci.index(ColorInterp.green) + 1,
ci.index(ColorInterp.blue) + 1,
)
else:
# Fallback to first three
indexes = (
1,
2,
3,
)
elif has_alpha:
indexes = non_alpha_indexes(src)
resampling = "nearest"
padding = 0
if tile_type in ["dsm", "dtm"]:
resampling = "bilinear"
padding = 16
try:
if expr is not None:
tile, mask = expression(url,
x,
y,
z,
expr=expr,
tilesize=tilesize,
nodata=nodata,
tile_edge_padding=padding,
resampling_method=resampling)
else:
tile, mask = main.tile(url,
x,
y,
z,
indexes=indexes,
tilesize=tilesize,
nodata=nodata,
tile_edge_padding=padding,
resampling_method=resampling)
except TileOutsideBounds:
raise exceptions.NotFound("Outside of bounds")
if color_map:
try:
color_map = get_colormap(color_map, format="gdal")
except FileNotFoundError:
raise exceptions.ValidationError("Not a valid color_map value")
intensity = None
if hillshade is not None:
try:
hillshade = float(hillshade)
if hillshade <= 0:
hillshade = 1.0
except ValueError:
raise exceptions.ValidationError("Invalid hillshade value")
if tile.shape[0] != 1:
raise exceptions.ValidationError(
"Cannot compute hillshade of non-elevation raster (multiple bands found)"
)
delta_scale = (maxzoom + ZOOM_EXTRA_LEVELS + 1 - z) * 4
dx = src.meta["transform"][0] * delta_scale
dy = -src.meta["transform"][4] * delta_scale
ls = LightSource(azdeg=315, altdeg=45)
# Hillshading is not a local tile operation and
# requires neighbor tiles to be rendered seamlessly
elevation = get_elevation_tiles(tile[0], url, x, y, z, tilesize,
nodata, resampling, padding)
intensity = ls.hillshade(elevation,
dx=dx,
dy=dy,
vert_exag=hillshade)
intensity = intensity[tilesize:tilesize * 2, tilesize:tilesize * 2]
rgb, rmask = rescale_tile(tile, mask, rescale=rescale)
rgb = apply_colormap(rgb, color_map)
if intensity is not None:
# Quick check
if rgb.shape[0] != 3:
raise exceptions.ValidationError(
"Cannot process tile: intensity image provided, but no RGB data was computed."
)
intensity = intensity * 255.0
rgb = hsv_blend(rgb, intensity)
options = img_profiles.get(driver, {})
return HttpResponse(array_to_image(rgb,
rmask,
img_format=driver,
**options),
content_type="image/{}".format(ext))
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 get(self,
request,
pk=None,
project_pk=None,
tile_type="",
z="",
x="",
y="",
scale=1):
"""
Get a tile image
"""
task = self.get_and_check_task(request, pk)
z = int(z)
x = int(x)
y = int(y)
if x == 0 and y == 0 and z == 0:
raise exceptions.NotFound()
scale = int(scale)
ext = "png"
driver = "jpeg" if ext == "jpg" else ext
indexes = None
nodata = None
formula = self.request.query_params.get('formula')
bands = self.request.query_params.get('bands')
rescale = self.request.query_params.get('rescale')
color_map = self.request.query_params.get('color_map')
hillshade = self.request.query_params.get('hillshade')
if formula == '': formula = None
if bands == '': bands = None
if rescale == '': rescale = None
if color_map == '': color_map = None
if hillshade == '' or hillshade == '0': hillshade = None
try:
expr, _ = lookup_formula(formula, bands)
except ValueError as e:
raise exceptions.ValidationError(str(e))
if tile_type in ['dsm', 'dtm'] and rescale is None:
rescale = "0,1000"
if tile_type in ['dsm', 'dtm'] and color_map is None:
color_map = "gray"
if tile_type == 'orthophoto' and formula is not None:
if color_map is None:
color_map = "gray"
if rescale is None:
rescale = "-1,1"
if nodata is not None:
nodata = np.nan if nodata == "nan" else float(nodata)
tilesize = scale * 256
url = get_raster_path(task, tile_type)
if not os.path.isfile(url):
raise exceptions.NotFound()
try:
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)
except TileOutsideBounds:
raise exceptions.NotFound("Outside of bounds")
# Use alpha channel for transparency, don't use the mask if one is provided (redundant)
if tile.shape[0] == 4:
mask = None
if color_map:
try:
color_map = get_colormap(color_map, format="gdal")
except FileNotFoundError:
raise exceptions.ValidationError("Not a valid color_map value")
intensity = None
if hillshade is not None:
try:
hillshade = float(hillshade)
if hillshade <= 0:
hillshade = 1.0
print(hillshade)
except ValueError:
raise exceptions.ValidationError("Invalid hillshade value")
if tile.shape[0] != 1:
raise exceptions.ValidationError(
"Cannot compute hillshade of non-elevation raster (multiple bands found)"
)
with rasterio.open(url) as src:
minzoom, maxzoom = get_zooms(src)
z_value = min(maxzoom, max(z, minzoom))
delta_scale = (maxzoom + 1 - z_value) * 4
dx = src.meta["transform"][0] * delta_scale
dy = -src.meta["transform"][4] * delta_scale
ls = LightSource(azdeg=315, altdeg=45)
# Hillshading is not a local tile operation and
# requires neighbor tiles to be rendered seamlessly
elevation = get_elevation_tiles(tile[0], url, x, y, z, tilesize,
nodata)
intensity = ls.hillshade(elevation,
dx=dx,
dy=dy,
vert_exag=hillshade)
intensity = intensity[tilesize:tilesize * 2, tilesize:tilesize * 2]
rgb, rmask = rescale_tile(tile, mask, rescale=rescale)
rgb = apply_colormap(rgb, color_map)
if intensity is not None:
# Quick check
if rgb.shape[0] != 3:
raise exceptions.ValidationError(
"Cannot process tile: intensity image provided, but no RGB data was computed."
)
intensity = intensity * 255.0
rgb = hsv_blend(rgb, intensity)
options = img_profiles.get(driver, {})
return HttpResponse(array_to_image(rgb,
rmask,
img_format=driver,
**options),
content_type="image/{}".format(ext))
