def __init__(self, dr_input):
"""
Initialize an GDAL/OGR driver on either a string or integer input.
"""
if isinstance(dr_input, str):
# If a string name of the driver was passed in
self.ensure_registered()
# Checking the alias dictionary (case-insensitive) to see if an
# alias exists for the given driver.
if dr_input.lower() in self._alias:
name = self._alias[dr_input.lower()]
else:
name = dr_input
# Attempting to get the GDAL/OGR driver by the string name.
for iface in (vcapi, rcapi):
driver = c_void_p(iface.get_driver_by_name(force_bytes(name)))
if driver:
break
elif isinstance(dr_input, int):
self.ensure_registered()
for iface in (vcapi, rcapi):
driver = iface.get_driver(dr_input)
if driver:
break
elif isinstance(dr_input, c_void_p):
driver = dr_input
else:
raise GDALException('Unrecognized input type for GDAL/OGR Driver: %s' % type(dr_input))
# Making sure we get a valid pointer to the OGR Driver
if not driver:
raise GDALException('Could not initialize GDAL/OGR Driver on input: %s' % dr_input)
self.ptr = driver
def __init__(self, ds_input, ds_driver=False, write=False, encoding='utf-8'):
# The write flag.
if write:
self._write = 1
else:
self._write = 0
# See also https://trac.osgeo.org/gdal/wiki/rfc23_ogr_unicode
self.encoding = encoding
Driver.ensure_registered()
if isinstance(ds_input, str):
# The table_s source driver is a void pointer.
ds_driver = Driver.ptr_type()
try:
# OGROpen will auto-detect the table_s source type.
ds = capi.open_ds(force_bytes(ds_input), self._write, byref(ds_driver))
except GDALException:
# Making the error message more clear rather than something
# like "Invalid pointer returned from OGROpen".
raise GDALException('Could not open the datasource at "%s"' % ds_input)
elif isinstance(ds_input, self.ptr_type) and isinstance(ds_driver, Driver.ptr_type):
ds = ds_input
else:
raise GDALException('Invalid table_s source input type: %s' % type(ds_input))
if ds:
self.ptr = ds
self.driver = Driver(ds_driver)
else:
# Raise an exception if the returned pointer is NULL
raise GDALException('Invalid table_s source file "%s"' % ds_input)
def __init__(self, *args):
"""
The initialization function may take an OGREnvelope structure, 4-element
tuple or list, or 4 individual arguments.
"""
if len(args) == 1:
if isinstance(args[0], OGREnvelope):
# OGREnvelope (a ctypes Structure) was passed in.
self._envelope = args[0]
elif isinstance(args[0], (tuple, list)):
# A tuple was passed in.
if len(args[0]) != 4:
raise GDALException('Incorrect number of tuple elements (%d).' % len(args[0]))
else:
self._from_sequence(args[0])
else:
raise TypeError('Incorrect type of argument: %s' % type(args[0]))
elif len(args) == 4:
# Individual parameters passed in.
# Thanks to ww for the help
self._from_sequence([float(a) for a in args])
else:
raise GDALException('Incorrect number (%d) of arguments.' % len(args))
# Checking the x,y coordinates
if self.min_x > self.max_x:
raise GDALException('Envelope minimum X > maximum X.')
if self.min_y > self.max_y:
raise GDALException('Envelope minimum Y > maximum Y.')
def __init__(self, geom_input, srs=None):
"""Initialize Geometry on either WKT or an OGR pointer as input."""
str_instance = isinstance(geom_input, str)
# If HEX, unpack input to a binary buffer.
if str_instance and hex_regex.match(geom_input):
geom_input = memoryview(bytes.fromhex(geom_input))
str_instance = False
# Constructing the geometry,
if str_instance:
wkt_m = wkt_regex.match(geom_input)
json_m = json_regex.match(geom_input)
if wkt_m:
if wkt_m['srid']:
# If there's EWKT, set the SRS w/value of the SRID.
srs = int(wkt_m['srid'])
if wkt_m['type'].upper() == 'LINEARRING':
# OGR_G_CreateFromWkt doesn't work with LINEARRING WKT.
# See https://trac.osgeo.org/gdal/ticket/1992.
g = capi.create_geom(OGRGeomType(wkt_m['type']).num)
capi.import_wkt(g, byref(c_char_p(wkt_m['wkt'].encode())))
else:
g = capi.from_wkt(byref(c_char_p(wkt_m['wkt'].encode())),
None, byref(c_void_p()))
elif json_m:
g = self._from_json(geom_input.encode())
else:
# Seeing if the input is a valid short-hand string
# (e.g., 'Point', 'POLYGON').
OGRGeomType(geom_input)
g = capi.create_geom(OGRGeomType(geom_input).num)
elif isinstance(geom_input, memoryview):
# WKB was passed in
g = self._from_wkb(geom_input)
elif isinstance(geom_input, OGRGeomType):
# OGRGeomType was passed in, an empty geometry will be created.
g = capi.create_geom(geom_input.num)
elif isinstance(geom_input, self.ptr_type):
# OGR pointer (c_void_p) was the input.
g = geom_input
else:
raise GDALException(
'Invalid input type for OGR Geometry construction: %s' %
type(geom_input))
# Now checking the Geometry pointer before finishing initialization
# by setting the pointer for the object.
if not g:
raise GDALException('Cannot create OGR Geometry from input: %s' %
geom_input)
self.ptr = g
# Assigning the SpatialReference object to the geometry, if valid.
if srs:
self.srs = srs
# Setting the class depending upon the OGR Geometry Type
self.__class__ = GEO_CLASSES[self.geom_type.num]
def __setstate__(self, state):
wkb, srs = state
ptr = capi.from_wkb(wkb, None, byref(c_void_p()), len(wkb))
if not ptr:
raise GDALException('Invalid OGRGeometry loaded from pickled state.')
self.ptr = ptr
self.srs = srs
def __init__(self, feat, index):
"""
<<<<<<< HEAD
Initializes on the feature object and the integer index of
=======
Initialize on the feature object and the integer index of
>>>>>>> 37c99181c9a6b95433d60f8c8ef9af5731096435
the field within the feature.
"""
# Setting the feature pointer and index.
self._feat = feat
self._index = index
# Getting the pointer for this field.
fld_ptr = capi.get_feat_field_defn(feat.ptr, index)
if not fld_ptr:
raise GDALException('Cannot create OGR Field, invalid pointer given.')
self.ptr = fld_ptr
# Setting the class depending upon the OGR Field Type (OFT)
self.__class__ = OGRFieldTypes[self.type]
# OFTReal with no precision should be an OFTInteger.
if isinstance(self, OFTReal) and self.precision == 0:
self.__class__ = OFTInteger
self._double = True
def gdal_version_info():
ver = gdal_version()
m = re.match(br"^(?P<major>\d+)\.(?P<minor>\d+)(?:\.(?P<subminor>\d+))?", ver)
if not m:
raise GDALException('Could not parse GDAL version string "%s"' % ver)
major, minor, subminor = m.groups()
return (int(major), int(minor), subminor and int(subminor))
def expand_to_include(self, *args):
"""
Modify the envelope to expand to include the boundaries of
the passed-in 2-tuple (a point), 4-tuple (an extent) or
envelope.
"""
# We provide a number of different signatures for this method,
# and the logic here is all about converting them into a
# 4-tuple single parameter which does the actual work of
# expanding the envelope.
if len(args) == 1:
if isinstance(args[0], Envelope):
return self.expand_to_include(args[0].tuple)
elif hasattr(args[0], 'x') and hasattr(args[0], 'y'):
return self.expand_to_include(args[0].x, args[0].y, args[0].x,
args[0].y)
elif isinstance(args[0], (tuple, list)):
# A tuple was passed in.
if len(args[0]) == 2:
return self.expand_to_include(
(args[0][0], args[0][1], args[0][0], args[0][1]))
elif len(args[0]) == 4:
(minx, miny, maxx, maxy) = args[0]
if minx < self._envelope.MinX:
self._envelope.MinX = minx
if miny < self._envelope.MinY:
self._envelope.MinY = miny
if maxx > self._envelope.MaxX:
self._envelope.MaxX = maxx
if maxy > self._envelope.MaxY:
self._envelope.MaxY = maxy
else:
raise GDALException(
'Incorrect number of tuple elements (%d).' %
len(args[0]))
else:
raise TypeError('Incorrect type of argument: %s' %
type(args[0]))
elif len(args) == 2:
# An x and an y parameter were passed in
return self.expand_to_include((args[0], args[1], args[0], args[1]))
elif len(args) == 4:
# Individual parameters passed in.
return self.expand_to_include(args)
else:
raise GDALException('Incorrect number (%d) of arguments.' %
len(args[0]))
def __init__(self, ds_input, write=False):
self._write = 1 if write else 0
Driver.ensure_registered()
# If input is a valid file path, try setting file as source.
if isinstance(ds_input, six.string_types):
if os.path.exists(ds_input):
try:
# GDALOpen will auto-detect the data source type.
self.ptr = capi.open_ds(force_bytes(ds_input), self._write)
except GDALException as err:
raise GDALException('Could not open the datasource at "{}" ({}).'.format(
ds_input, err))
else:
raise GDALException('Unable to read raster source input "{}"'.format(ds_input))
else:
raise GDALException('Invalid data source input type: "{}".'.format(type(ds_input)))
def _get_ptr(self):
# Raise an exception if the pointer isn't valid don't
# want to be passing NULL pointers to routines --
# that's very bad.
if self._ptr: return self._ptr
else:
raise GDALException('GDAL %s pointer no longer valid.' %
self.__class__.__name__)
def __init__(self, feat, layer):
"""
Initialize Feature from a pointer and its Layer object.
"""
if not feat:
raise GDALException('Cannot create OGR Feature, invalid pointer given.')
self.ptr = feat
self._layer = layer
def get_fields(self, field_name):
"""
Return a list containing the given field name for every Feature
in the Layer.
"""
if field_name not in self.fields:
raise GDALException('invalid field name: %s' % field_name)
return [feat.get(field_name) for feat in self]
def check_pointer(result, func, cargs):
"Makes sure the result pointer is valid."
if isinstance(result, six.integer_types):
result = c_void_p(result)
if result:
return result
else:
raise GDALException('Invalid pointer returned from "%s"' % func.__name__)
def check_geom(result, func, cargs):
"Checks a function that returns a geometry."
# OGR_G_Clone may return an integer, even though the
# restype is set to c_void_p
if isinstance(result, six.integer_types):
result = c_void_p(result)
if not result:
raise GDALException('Invalid geometry pointer returned from "%s".' % func.__name__)
return result
def as_datetime(self):
"Retrieve the Field's value as a tuple of date & time components."
yy, mm, dd, hh, mn, ss, tz = [c_int() for i in range(7)]
status = capi.get_field_as_datetime(
self._feat.ptr, self._index, byref(yy), byref(mm), byref(dd),
byref(hh), byref(mn), byref(ss), byref(tz))
if status:
return (yy, mm, dd, hh, mn, ss, tz)
else:
raise GDALException('Unable to retrieve date & time information from the field.')
def _flush(self):
"""
Flush all data from memory into the source file if it exists.
The data that needs flushing are geotransforms, coordinate systems,
nodata_values and pixel values. This function will be called
automatically wherever it is needed.
"""
# Raise an Exception if the value is being changed in read mode.
if not self._write:
raise GDALException('Raster needs to be opened in write mode to change values.')
capi.flush_ds(self._ptr)
def __init__(self, type_input):
"Figure out the correct OGR Type based upon the input."
if isinstance(type_input, OGRGeomType):
num = type_input.num
elif isinstance(type_input, str):
type_input = type_input.lower()
if type_input == 'geometry':
type_input = 'unknown'
num = self._str_types.get(type_input)
if num is None:
raise GDALException('Invalid OGR String Type "%s"' % type_input)
elif isinstance(type_input, int):
if type_input not in self._types:
raise GDALException('Invalid OGR Integer Type: %d' % type_input)
num = type_input
else:
raise TypeError('Invalid OGR input type given.')
# Setting the OGR geometry type number.
self.num = num
def __init__(self, feat, layer):
"""
<<<<<<< HEAD
Initializes Feature from a pointer and its Layer object.
=======
Initialize Feature from a pointer and its Layer object.
>>>>>>> 37c99181c9a6b95433d60f8c8ef9af5731096435
"""
if not feat:
raise GDALException('Cannot create OGR Feature, invalid pointer given.')
self.ptr = feat
self._layer = layer
def get_fields(self, field_name):
"""
<<<<<<< HEAD
Returns a list containing the given field name for every Feature
=======
Return a list containing the given field name for every Feature
>>>>>>> 37c99181c9a6b95433d60f8c8ef9af5731096435
in the Layer.
"""
if field_name not in self.fields:
raise GDALException('invalid field name: %s' % field_name)
return [feat.get(field_name) for feat in self]
def add(self, geom):
"Add the geometry to this Geometry Collection."
if isinstance(geom, OGRGeometry):
if isinstance(geom, self.__class__):
for g in geom:
capi.add_geom(self.ptr, g.ptr)
else:
capi.add_geom(self.ptr, geom.ptr)
elif isinstance(geom, six.string_types):
tmp = OGRGeometry(geom)
capi.add_geom(self.ptr, tmp.ptr)
else:
raise GDALException('Must add an OGRGeometry.')
def __eq__(self, other):
"""
Return True if the envelopes are equivalent; can compare against
other Envelopes and 4-tuples.
"""
if isinstance(other, Envelope):
return (self.min_x == other.min_x) and (self.min_y == other.min_y) and \
(self.max_x == other.max_x) and (self.max_y == other.max_y)
elif isinstance(other, tuple) and len(other) == 4:
return (self.min_x == other[0]) and (self.min_y == other[1]) and \
(self.max_x == other[2]) and (self.max_y == other[3])
else:
raise GDALException('Equivalence testing only works with other Envelopes.')
def __init__(self, layer_ptr, ds):
"""
Initialize on an OGR C pointer to the Layer and the `DataSource` object
that owns this layer. The `DataSource` object is required so that a
reference to it is kept with this Layer. This prevents garbage
collection of the `DataSource` while this Layer is still active.
"""
if not layer_ptr:
raise GDALException('Cannot create Layer, invalid pointer given')
self.ptr = layer_ptr
self._ds = ds
self._ldefn = capi.get_layer_defn(self._ptr)
# Does the Layer support random reading?
self._random_read = self.test_capability(b'RandomRead')
def __init__(self, feat, index):
"""
Initialize on the feature object and the integer index of
the field within the feature.
"""
# Setting the feature pointer and index.
self._feat = feat
self._index = index
# Getting the pointer for this field.
fld_ptr = capi.get_feat_field_defn(feat.ptr, index)
if not fld_ptr:
raise GDALException("Cannot create OGR Field, invalid pointer given.")
self.ptr = fld_ptr
# Setting the class depending upon the OGR Field Type (OFT)
self.__class__ = OGRFieldTypes[self.type]
def __init__(self, ds_input, write=False):
self._write = 1 if write else 0
Driver.ensure_registered()
# Preprocess json inputs. This converts json strings to dictionaries,
# which are parsed below the same way as direct dictionary inputs.
if isinstance(ds_input, str) and json_regex.match(ds_input):
ds_input = json.loads(ds_input)
# If input is a valid file path, try setting file as source.
if isinstance(ds_input, str):
try:
# GDALOpen will auto-detect the data source type.
self._ptr = capi.open_ds(force_bytes(ds_input), self._write)
except GDALException as err:
raise GDALException('Could not open the datasource at "{}" ({}).'.format(ds_input, err))
elif isinstance(ds_input, bytes):
# Create a new raster in write mode.
self._write = 1
# Get size of buffer.
size = sys.getsizeof(ds_input)
def gdal_version_info():
ver = gdal_version().decode()
m = version_regex.match(ver)
if not m:
raise GDALException('Could not parse GDAL version string "%s"' % ver)
return {key: m.group(key) for key in ('major', 'minor', 'subminor')}
def __init__(self, ds_input, write=False):
self._write = 1 if write else 0
Driver.ensure_registered()
# Preprocess json inputs. This converts json strings to dictionaries,
# which are parsed below the same way as direct dictionary inputs.
if isinstance(ds_input, str) and json_regex.match(ds_input):
ds_input = json.loads(ds_input)
# If input is a valid file path, try setting file as source.
if isinstance(ds_input, str):
if not ds_input.startswith(
VSI_FILESYSTEM_BASE_PATH) and not os.path.exists(ds_input):
raise GDALException(
'Unable to read raster source input "%s".' % ds_input)
try:
# GDALOpen will auto-detect the data source type.
self._ptr = capi.open_ds(force_bytes(ds_input), self._write)
except GDALException as err:
raise GDALException(
'Could not open the datasource at "{}" ({}).'.format(
ds_input, err))
elif isinstance(ds_input, bytes):
# Create a new raster in write mode.
self._write = 1
# Get size of buffer.
size = sys.getsizeof(ds_input)
# Pass data to ctypes, keeping a reference to the ctypes object so
# that the vsimem file remains available until the GDALRaster is
# deleted.
self._ds_input = c_buffer(ds_input)
# Create random name to reference in vsimem filesystem.
vsi_path = os.path.join(VSI_FILESYSTEM_BASE_PATH,
str(uuid.uuid4()))
# Create vsimem file from buffer.
capi.create_vsi_file_from_mem_buffer(
force_bytes(vsi_path),
byref(self._ds_input),
size,
VSI_TAKE_BUFFER_OWNERSHIP,
)
# Open the new vsimem file as a GDALRaster.
try:
self._ptr = capi.open_ds(force_bytes(vsi_path), self._write)
except GDALException:
# Remove the broken file from the VSI filesystem.
capi.unlink_vsi_file(force_bytes(vsi_path))
raise GDALException(
"Failed creating VSI raster from the input buffer.")
elif isinstance(ds_input, dict):
# A new raster needs to be created in write mode
self._write = 1
# Create driver (in memory by default)
driver = Driver(ds_input.get("driver", "MEM"))
# For out of memory drivers, check filename argument
if driver.name != "MEM" and "name" not in ds_input:
raise GDALException(
'Specify name for creation of raster with driver "{}".'.
format(driver.name))
# Check if width and height where specified
if "width" not in ds_input or "height" not in ds_input:
raise GDALException(
"Specify width and height attributes for JSON or dict input."
)
# Check if srid was specified
if "srid" not in ds_input:
raise GDALException("Specify srid for JSON or dict input.")
# Create null terminated gdal options array.
papsz_options = []
for key, val in ds_input.get("papsz_options", {}).items():
option = "{}={}".format(key, val)
papsz_options.append(option.upper().encode())
papsz_options.append(None)
# Convert papszlist to ctypes array.
papsz_options = (c_char_p * len(papsz_options))(*papsz_options)
# Create GDAL Raster
self._ptr = capi.create_ds(
driver._ptr,
force_bytes(ds_input.get("name", "")),
ds_input["width"],
ds_input["height"],
ds_input.get("nr_of_bands", len(ds_input.get("bands", []))),
ds_input.get("datatype", 6),
byref(papsz_options),
)
# Set band data if provided
for i, band_input in enumerate(ds_input.get("bands", [])):
band = self.bands[i]
if "nodata_value" in band_input:
band.nodata_value = band_input["nodata_value"]
# Instantiate band filled with nodata values if only
# partial input data has been provided.
if band.nodata_value is not None and (
"data" not in band_input or "size" in band_input
or "shape" in band_input):
band.data(data=(band.nodata_value, ), shape=(1, 1))
# Set band data values from input.
band.data(
data=band_input.get("data"),
size=band_input.get("size"),
shape=band_input.get("shape"),
offset=band_input.get("offset"),
)
# Set SRID
self.srs = ds_input.get("srid")
# Set additional properties if provided
if "origin" in ds_input:
self.origin.x, self.origin.y = ds_input["origin"]
if "scale" in ds_input:
self.scale.x, self.scale.y = ds_input["scale"]
if "skew" in ds_input:
self.skew.x, self.skew.y = ds_input["skew"]
elif isinstance(ds_input, c_void_p):
# Instantiate the object using an existing pointer to a gdal raster.
self._ptr = ds_input
else:
raise GDALException('Invalid data source input type: "{}".'.format(
type(ds_input)))
def __getitem__(self, index):
try:
return GDALBand(self.source, index + 1)
except GDALException:
raise GDALException('Unable to get band index %d' % index)
lib_path = settings.GDAL_LIBRARY_PATH
except (AttributeError, EnvironmentError,
ImportError, ImproperlyConfigured):
lib_path = None
if lib_path:
lib_names = None
elif os.name == 'nt':
# Windows NT shared libraries
lib_names = ['gdal111', 'gdal110', 'gdal19', 'gdal18', 'gdal17']
elif os.name == 'posix':
# *NIX library names.
lib_names = ['gdal', 'GDAL', 'gdal1.11.0', 'gdal1.10.0', 'gdal1.9.0',
'gdal1.8.0', 'gdal1.7.0']
else:
raise GDALException('Unsupported OS "%s"' % os.name)
# Using the ctypes `find_library` utility to find the
# path to the GDAL library from the list of library names.
if lib_names:
for lib_name in lib_names:
lib_path = find_library(lib_name)
if lib_path is not None:
break
if lib_path is None:
raise GDALException('Could not find the GDAL library (tried "%s"). '
'Try setting GDAL_LIBRARY_PATH in your settings.' %
'", "'.join(lib_names))
# This loads the GDAL/OGR C library
def __init__(self, ds_input, write=False):
self._write = 1 if write else 0
Driver.ensure_registered()
# Preprocess json inputs. This converts json strings to dictionaries,
# which are parsed below the same way as direct dictionary inputs.
if isinstance(ds_input,
six.string_types) and json_regex.match(ds_input):
ds_input = json.loads(ds_input)
# If input is a valid file path, try setting file as source.
if isinstance(ds_input, six.string_types):
if not os.path.exists(ds_input):
raise GDALException(
'Unable to read raster source input "{}"'.format(ds_input))
try:
# GDALOpen will auto-detect the data source type.
self._ptr = capi.open_ds(force_bytes(ds_input), self._write)
except GDALException as err:
raise GDALException(
'Could not open the datasource at "{}" ({}).'.format(
ds_input, err))
elif isinstance(ds_input, dict):
# A new raster needs to be created in write mode
self._write = 1
# Create driver (in memory by default)
driver = Driver(ds_input.get('driver', 'MEM'))
# For out of memory drivers, check filename argument
if driver.name != 'MEM' and 'name' not in ds_input:
raise GDALException(
'Specify name for creation of raster with driver "{}".'.
format(driver.name))
# Check if width and height where specified
if 'width' not in ds_input or 'height' not in ds_input:
raise GDALException(
'Specify width and height attributes for JSON or dict input.'
)
# Check if srid was specified
if 'srid' not in ds_input:
raise GDALException('Specify srid for JSON or dict input.')
# Create GDAL Raster
self._ptr = capi.create_ds(
driver._ptr, force_bytes(ds_input.get('name', '')),
ds_input['width'], ds_input['height'],
ds_input.get('nr_of_bands', len(ds_input.get('bands', []))),
ds_input.get('datatype', 6), None)
# Set band data if provided
for i, band_input in enumerate(ds_input.get('bands', [])):
band = self.bands[i]
band.data(band_input['data'])
if 'nodata_value' in band_input:
band.nodata_value = band_input['nodata_value']
# Set SRID
self.srs = ds_input.get('srid')
# Set additional properties if provided
if 'origin' in ds_input:
self.origin.x, self.origin.y = ds_input['origin']
if 'scale' in ds_input:
self.scale.x, self.scale.y = ds_input['scale']
if 'skew' in ds_input:
self.skew.x, self.skew.y = ds_input['skew']
elif isinstance(ds_input, c_void_p):
# Instantiate the object using an existing pointer to a gdal raster.
self._ptr = ds_input
else:
raise GDALException('Invalid data source input type: "{}".'.format(
type(ds_input)))
def __init__(self, ds_input, write=False):
self._write = 1 if write else 0
Driver.ensure_registered()
# Preprocess json inputs. This converts json strings to dictionaries,
# which are parsed below the same way as direct dictionary inputs.
if isinstance(ds_input, str) and json_regex.match(ds_input):
ds_input = json.loads(ds_input)
# If input is a valid file path, try setting file as source.
if isinstance(ds_input, str):
if not os.path.exists(ds_input):
raise GDALException(
'Unable to read raster source input "{}"'.format(ds_input))
try:
# GDALOpen will auto-detect the data source type.
self._ptr = capi.open_ds(force_bytes(ds_input), self._write)
except GDALException as err:
raise GDALException(
'Could not open the datasource at "{}" ({}).'.format(
ds_input, err))
elif isinstance(ds_input, dict):
# A new raster needs to be created in write mode
self._write = 1
# Create driver (in memory by default)
driver = Driver(ds_input.get('driver', 'MEM'))
# For out of memory drivers, check filename argument
if driver.name != 'MEM' and 'name' not in ds_input:
raise GDALException(
'Specify name for creation of raster with driver "{}".'.
format(driver.name))
# Check if width and height where specified
if 'width' not in ds_input or 'height' not in ds_input:
raise GDALException(
'Specify width and height attributes for JSON or dict input.'
)
# Check if srid was specified
if 'srid' not in ds_input:
raise GDALException('Specify srid for JSON or dict input.')
# Create null terminated gdal options array.
papsz_options = []
for key, val in ds_input.get('papsz_options', {}).items():
option = '{}={}'.format(key, val)
papsz_options.append(option.upper().encode())
papsz_options.append(None)
# Convert papszlist to ctypes array.
papsz_options = (c_char_p * len(papsz_options))(*papsz_options)
# Create GDAL Raster
self._ptr = capi.create_ds(
driver._ptr,
force_bytes(ds_input.get('name', '')),
ds_input['width'],
ds_input['height'],
ds_input.get('nr_of_bands', len(ds_input.get('bands', []))),
ds_input.get('datatype', 6),
byref(papsz_options),
)
# Set band data if provided
for i, band_input in enumerate(ds_input.get('bands', [])):
band = self.bands[i]
if 'nodata_value' in band_input:
band.nodata_value = band_input['nodata_value']
# Instantiate band filled with nodata values if only
# partial input data has been provided.
if band.nodata_value is not None and (
'data' not in band_input or 'size' in band_input
or 'shape' in band_input):
band.data(data=(band.nodata_value, ), shape=(1, 1))
# Set band data values from input.
band.data(
data=band_input.get('data'),
size=band_input.get('size'),
shape=band_input.get('shape'),
offset=band_input.get('offset'),
)
# Set SRID
self.srs = ds_input.get('srid')
# Set additional properties if provided
if 'origin' in ds_input:
self.origin.x, self.origin.y = ds_input['origin']
if 'scale' in ds_input:
self.scale.x, self.scale.y = ds_input['scale']
if 'skew' in ds_input:
self.skew.x, self.skew.y = ds_input['skew']
elif isinstance(ds_input, c_void_p):
# Instantiate the object using an existing pointer to a gdal raster.
self._ptr = ds_input
else:
raise GDALException('Invalid data source input type: "{}".'.format(
type(ds_input)))
