def test_read_and_write_of_rasters(self):
"""Test that rasters can be read and written correctly
"""
for coveragename in ['Earthquake_Ground_Shaking_clip.tif',
'Population_2010_clip.tif',
'shakemap_padang_20090930.asc',
'population_padang_1.asc']:
filename = 'data/%s' % coveragename
for R1 in [Raster(filename), read_coverage(filename)]:
# Check consistency of raster
A1 = R1.get_data()
M, N = A1.shape
msg = 'Dimensions of raster array do not match those of raster file %s' % R1.filename
assert M == R1.rows, msg
assert N == R1.columns, msg
# Write back to new file
outfilename = '/tmp/%s' % coveragename
try:
os.remove(outfilename)
except:
pass
write_coverage_to_geotiff(A1, outfilename, R1.get_projection(), R1.get_geotransform())
# Read again and check consistency
R2 = Raster(outfilename)
msg = 'Dimensions of written raster array do not match those of input raster file\n'
msg += ' Dimensions of input file %s: (%s, %s)\n' % (R1.filename, R1.rows, R1.columns)
msg += ' Dimensions of output file %s: (%s, %s)' % (R2.filename, R2.rows, R2.columns)
assert R1.rows == R2.rows, msg
assert R1.columns == R2.columns, msg
A2 = R2.get_data()
assert numpy.allclose(numpy.min(A1), numpy.min(A2))
assert numpy.allclose(numpy.max(A1), numpy.max(A2))
msg = 'Array values of written raster array were not as expected'
assert numpy.allclose(A1, A2), msg
# NOTE: This does not always hold as projection text might differ slightly. E.g.
#assert R1.get_projection() == R2.get_projection(), msg
#E.g. These two refer to the same projection
#GEOGCS["GCS_WGS_1984",DATUM["WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]]
#GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.2572235630016,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]]
msg = 'Geotransforms were different'
assert R1.get_geotransform() == R2.get_geotransform(), msg
def calculate(self, hazards, exposures, impact_function_id, impact, bounding_box, comment):
"""Calculate the Impact Geo as a function of Hazards and Exposures
Arguments
impact_function_id=Id of the impact function to be run
(fully qualified path (from base path))
hazards = A list of hazard levels .. [H1,H2..HN] each H is a geoserver layer path
where each layer follows the format
username:userpass@geoserver_url:layer_name
(Look at REST for inspiration)
exposure = A list of exposure levels ..[E1,E2...EN] each E is a
geoserver layer path
impact = Handle to output impact level layer
bounding_box = ...
comment = String with comment for output metadata
Returns
string: 'SUCCESS' if complete, otherwise Exception is raised
Note
hazards and exposure may be lists of handles or just a single handle each.
"""
# Make sure hazards and exposures are lists
if type(hazards) != type([]):
hazards = [hazards]
if type(exposures) != type([]):
exposures = [exposures]
# Download data - FIXME(Ole): Currently only raster. FIXME (Ole): Not even sure they should be lists
projection = None
geotransform = None
hazard_layers = []
for hazard in hazards:
raster = self.get_raster_data(hazard, bounding_box)
H = raster.get_data()
hazard_layers.append(H)
# FIXME (Ole): These two could be combined into one thing.
if projection is None:
projection = raster.get_projection()
else:
msg = 'Projections in hazard levels are different: %s %s' % (projection, raster.get_projection())
assert projection == raster.get_projection(), msg
if geotransform is None:
geotransform = raster.get_geotransform()
else:
msg = 'Geotransforms in hazard levels are different: %s %s' % (geotransform, raster.get_geotransform())
geotransform == raster.get_geotransform(), msg
exposure_layers = []
for exposure in exposures:
raster = self.get_raster_data(exposure, bounding_box)
E = raster.get_data()
exposure_layers.append(E)
msg = 'Projections in exposure levels are different: %s %s' % (projection, raster.get_projection())
assert projection == raster.get_projection(), msg
msg = 'Geotransforms in exposure levels are different: %s %s' % (geotransform, raster.get_geotransform())
geotransform == raster.get_geotransform(), msg
# Pass hazard and exposure arrays on to plugin
# FIXME, for the time being we just calculate the fatality function assuming only one of each layer.
H = hazard_layers[0]
E = exposure_layers[0]
# Calculate impact
# FIXME (Ole): This is where an impact plugin should be called
a = 0.97429
b = 11.037
F = 10**(a*H-b)*E
# Upload result
username, userpass, geoserver_url, layer_name, workspace = self.split_geoserver_layer_handle(impact)
output_file = 'data/%s.tif' % layer_name
write_coverage_to_geotiff(F, output_file,
projection=projection,
geotransform=geotransform)
#(FIXME(Ole): still super hacky and not at all general)
# FIXME(Ole): Get everything from gdalinfo
#output_file = 'data/%s.asc' % layer_name
#write_coverage_to_ascii(F, output_file,
# xllcorner = bounding_box[0],
# yllcorner = bounding_box[1],
# cellsize=0.030741064,
# #cellsize=0.008333333333000,
# nodata_value=-9999,
# # FIXME(Ole): Need to get projection for haz and exp from GeoServer. For now use example.
# projection=open('data/test_grid.prj').read())
# And upload it again
lh = self.create_geoserver_layer_handle(username,
userpass,
geoserver_url,
'',
workspace)
self.upload_geoserver_layer(output_file, lh)
return 'SUCCES'