def test_read_vector_window(geojson, landpoly_3857):
"""Read vector data from read_vector_window."""
zoom = 4
config = MapcheteConfig(geojson.path)
vectorfile = config.params_at_zoom(zoom)["input"]["file1"]
pixelbuffer = 5
tile_pyramid = BufferedTilePyramid("geodetic", pixelbuffer=pixelbuffer)
tiles = tile_pyramid.tiles_from_geom(vectorfile.bbox(), zoom)
feature_count = 0
for tile in tiles:
for feature in read_vector_window(vectorfile.path, tile):
assert "properties" in feature
assert shape(feature["geometry"]).is_valid
feature_count += 1
assert feature_count
# into different CRS
raw_config = geojson.dict
raw_config["input"].update(file1=landpoly_3857)
config = MapcheteConfig(raw_config)
vectorfile = config.params_at_zoom(zoom)["input"]["file1"]
pixelbuffer = 5
tile_pyramid = BufferedTilePyramid("geodetic", pixelbuffer=pixelbuffer)
tiles = tile_pyramid.tiles_from_geom(vectorfile.bbox(), zoom)
feature_count = 0
for tile in tiles:
for feature in read_vector_window(vectorfile.path, tile):
assert "properties" in feature
assert shape(feature["geometry"]).is_valid
feature_count += 1
assert feature_count
def test_read_vector_window_errors(invalid_geojson):
with pytest.raises(FileNotFoundError):
read_vector_window("invalid_path",
BufferedTilePyramid("geodetic").tile(0, 0, 0))
with pytest.raises(MapcheteIOError):
read_vector_window(invalid_geojson,
BufferedTilePyramid("geodetic").tile(0, 0, 0))
def _read_as_tiledir(data_type=None,
out_tile=None,
td_crs=None,
tiles_paths=None,
profile=None,
validity_check=False,
indexes=None,
resampling=None,
dst_nodata=None,
gdal_opts=None,
**kwargs):
logger.debug("reading data from CRS %s to CRS %s", td_crs, out_tile.tp.crs)
if data_type == "vector":
if tiles_paths:
return read_vector_window([path for _, path in tiles_paths],
out_tile,
validity_check=validity_check)
else:
return []
elif data_type == "raster":
if tiles_paths:
return read_raster_window([path for _, path in tiles_paths],
out_tile,
indexes=indexes,
resampling=resampling,
src_nodata=profile["nodata"],
dst_nodata=dst_nodata,
gdal_opts=gdal_opts)
else:
bands = len(indexes) if indexes else profile["count"]
return ma.masked_array(data=np.full(
(bands, out_tile.height, out_tile.width),
profile["nodata"],
dtype=profile["dtype"]),
mask=True)
def _read_from_cache(self, validity_check):
checked = "checked" if validity_check else "not_checked"
if checked not in self._cache:
self._cache[checked] = list(
read_vector_window(self.vector_file.path,
self.tile,
validity_check=validity_check))
return self._cache[checked]
def read(
self, validity_check=False, indexes=None, resampling="nearest",
dst_nodata=None, gdal_opts=None
):
"""
Read reprojected & resampled input data.
Parameters
----------
validity_check : bool
vector file: also run checks if reprojected geometry is valid,
otherwise throw RuntimeError (default: True)
indexes : list or int
raster file: a list of band numbers; None will read all.
resampling : string
raster file: one of "nearest", "average", "bilinear" or "lanczos"
dst_nodata : int or float, optional
raster file: if not set, the nodata value from the source dataset
will be used
gdal_opts : dict
raster file: GDAL options passed on to rasterio.Env()
Returns
-------
data : list for vector files or numpy array for raster files
"""
if self._file_type == "vector":
if self.is_empty():
return []
return list(chain.from_iterable([
read_vector_window(
_path, self.tile, validity_check=validity_check)
for _, _path in self._tiles_paths
]))
else:
if self.is_empty():
count = (len(indexes) if indexes else self._profile["count"], )
return ma.masked_array(
data=np.full(
count + self.tile.shape, self._profile["nodata"],
dtype=self._profile["dtype"]),
mask=True
)
tiles = [
(_tile, read_raster_window(
_path, _tile, indexes=indexes, resampling=resampling,
src_nodata=self._profile["nodata"], dst_nodata=dst_nodata,
gdal_opts=gdal_opts))
for _tile, _path in self._tiles_paths
]
return resample_from_array(
in_raster=create_mosaic(
tiles=tiles, nodata=self._profile["nodata"]),
out_tile=self.tile,
resampling=resampling,
nodataval=self._profile["nodata"])
def test_read_vector_window():
"""Read vector data from read_vector_window."""
zoom = 4
config = MapcheteConfig(
os.path.join(SCRIPTDIR, "testdata/geojson.mapchete"))
vectorfile = config.at_zoom(zoom)["input"]["file1"]
pixelbuffer = 5
tile_pyramid = BufferedTilePyramid("geodetic", pixelbuffer=pixelbuffer)
tiles = tile_pyramid.tiles_from_geom(vectorfile.bbox(), zoom)
feature_count = 0
for tile in tiles:
for feature in vector.read_vector_window(vectorfile.path, tile):
assert "properties" in feature
assert shape(feature["geometry"]).is_valid
feature_count += 1
assert feature_count
