def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain and the name of the processing result layer
which is a single raster layer
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
for input_object in input_objects:
output_objects.append(input_object)
node.add_output(output_object=input_object)
if "polygons" in node.arguments:
polygons = node.arguments["polygons"]
else:
raise Exception(
"The vector polygon is missing in the process description")
pc = create_process_chain_entry(input_object=input_object,
polygons=polygons)
process_list.extend(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain
and the name of the processing result layer
which is a single raster layer
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
if "method" not in node.arguments:
raise Exception("Parameter method is required.")
for input_object in node.get_parent_by_name("data").output_objects:
output_object = DataObject(
name=create_output_name(input_object.name, PROCESS_NAME),
datatype=GrassDataType.RASTER)
output_objects.append(output_object)
node.add_output(output_object=output_object)
pc = create_process_chain_entry(
input_object, node.arguments["method"], output_object)
process_list.append(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain
and the name of the processing result layer
which is a single raster layer
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
if "percentile" not in node.arguments:
raise Exception("Parameter percentile is required.")
for data_object in node.get_parent_by_name("data").output_objects:
# multiple strds as input ?
# multiple raster layers as output !
output_object = DataObject(name=create_output_name(
data_object.name, node),
datatype=GrassDataType.STRDS)
output_objects.append(output_object)
node.add_output(output_object=output_object)
pc = create_process_chain_entry(data_object,
node.arguments["percentile"],
output_object)
process_list.append(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain and the name of the processing result layer
which is a single raster layer
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
options = {}
if "options" in node.arguments:
options = node.arguments["options"]
# Pipe the inputs to the outputs
for input_object in node.get_parent_by_name("data").output_objects:
output_objects.append(input_object)
node.add_output(output_object=input_object)
pc = create_process_chain_entry(input_object=input_object,
options=options)
process_list.extend(pc)
return output_objects, process_list
def get_process_list(node: Node) -> Tuple[list, list]:
"""Analyse the process node and return the Actinia process chain and the name of the processing result
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
input_names, process_list = check_node_parents(node=node)
output_objects = []
if "data" not in node.arguments:
raise Exception("Process %s requires parameter <data>" % PROCESS_NAME)
# Catch the first input
for data_object in node.get_parent_by_name(
parent_name="data").output_objects:
pc = create_process_chain_entry(data_object=data_object)
process_list.append(pc)
break
for data_object in node.get_parent_by_name(
parent_name="data").output_objects:
output_objects.append(data_object)
node.add_output(data_object)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain
and the name of the processing result layer
which is a single raster layer
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
tree, operators = construct_tree(
node.as_dict()['arguments']['process']['process_graph'])
# print (operators)
formula = None
output_datatype = GrassDataType.RASTER
formula = serialize_tree(tree)
# print(formula)
output_datatype = GrassDataType.STRDS
input_objects, process_list = check_node_parents(node=node)
output_objects = []
for input_object in node.get_parent_by_name("data").output_objects:
output_object = DataObject(name=create_output_name(
input_object.name, PROCESS_NAME),
datatype=output_datatype)
output_objects.append(output_object)
node.add_output(output_object=output_object)
pc = create_process_chain_entry(input_object, formula, operators,
output_object)
process_list.append(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain and the name of the processing result layer
which is a single raster layer
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
for input_object in input_objects:
output_objects.append(input_object)
node.add_output(output_object=input_object)
geometries = None
if "geometries" in node.arguments:
geometries = node.arguments["geometries"]
else:
raise Exception(
"The vector geometries are missing in the process description")
# TODO: support a reducer
# reducer = node.arguments["reducer"]
pc = create_process_chain_entry(input_object=input_object,
geometries=geometries)
process_list.extend(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain and the name of the processing result
strds that was filtered by start and end date
:param node: The process node
:return: (output_names, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
for data_object in node.get_parent_by_name(
parent_name="data").output_objects:
# Skip if the datatype is not a strds and put the input into the output
if data_object.is_strds() is False:
output_objects.append(data_object)
continue
if "dimension" not in node.arguments or \
node.arguments["dimension"] != "bands":
raise Exception(
"Process %s requires dimension to be set to bands" %
PROCESS_NAME)
output_object = DataObject(name=create_output_name(
data_object.name, node),
datatype=GrassDataType.STRDS)
output_objects.append(output_object)
node.add_output(output_object=output_object)
if not isinstance(node.arguments["target"], list):
raise Exception("Process %s requires target to be a list" %
PROCESS_NAME)
target = node.arguments["target"]
source = None
if "source" in node.arguments:
if not isinstance(node.arguments["source"], list):
raise Exception("Process %s requires source to be a list" %
PROCESS_NAME)
source = node.arguments["source"]
if len(source) != len(target):
raise Exception(
"Process %s requires source and target to have the same number of items"
% PROCESS_NAME)
else:
if len(target) != 1:
raise Exception(
"Process %s requires one item in target if source is not given"
% PROCESS_NAME)
pc = create__process_chain_entry(input_object=data_object,
target=target,
source=source,
output_object=output_object)
process_list.extend(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain
and the name of the processing result layer
which is a single raster layer
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
if "nf" not in node.arguments:
raise Exception("Parameter nf is required.")
nf = int(node.arguments["nf"])
dod = 0
if "dod" in node.arguments:
dod = int(node.arguments["dod"])
fet = 1.7977e308
if "fet" in node.arguments:
fet = float(node.arguments["fet"])
range_low = -1.7977e308
if "range_low" in node.arguments:
range_low = float(node.arguments["range_low"])
range_high = 1.7977e308
if "range_high" in node.arguments:
range_high = float(node.arguments["range_high"])
reject_low = False
if "reject_low" in node.arguments:
reject_low = bool(node.arguments["reject_low"])
reject_high = False
if "reject_high" in node.arguments:
reject_high = bool(node.arguments["reject_high"])
for data_object in node.get_parent_by_name("data").output_objects:
# Skip if the datatype is not a strds and put the input into the output
if data_object.is_strds() is False:
output_objects.append(data_object)
continue
# multiple strds as input ?
output_object = DataObject(name=create_output_name(
data_object.name, PROCESS_NAME),
datatype=GrassDataType.STRDS)
output_objects.append(output_object)
node.add_output(output_object=output_object)
pc = create_process_chain_entry(data_object, nf, dod, fet, range_low,
range_high, reject_low, reject_high,
output_object)
process_list.append(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain and the name of the processing result
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
if "result" not in node.arguments:
raise Exception("The result name must be specified as parameter")
if "expression" not in node.arguments:
raise Exception("The expression must be specified as parameter")
if "basename" not in node.arguments:
raise Exception("The basename must be specified as parameter")
result = DataObject(
name=node.arguments["result"],
datatype=GrassDataType.STRDS)
expression = node.arguments["expression"]
basename = node.arguments["basename"]
if "a" in node.arguments:
a = list(node.get_parent_by_name(parent_name="a").output_objects)[-1]
expression = expression.replace("$a", a.grass_name())
if "b" in node.arguments:
b = list(node.get_parent_by_name(parent_name="b").output_objects)[-1]
expression = expression.replace("$b", b.grass_name())
if "c" in node.arguments:
c = list(node.get_parent_by_name(parent_name="c").output_objects)[-1]
expression = expression.replace("$c", c.grass_name())
if "d" in node.arguments:
d = list(node.get_parent_by_name(parent_name="d").output_objects)[-1]
expression = expression.replace("$d", d.grass_name())
if "e" in node.arguments:
e = list(node.get_parent_by_name(parent_name="e").output_objects)[-1]
expression = expression.replace("$e", e.grass_name())
if "f" in node.arguments:
f = list(node.get_parent_by_name(parent_name="f").output_objects)[-1]
expression = expression.replace("$f", f.grass_name())
expression = expression.replace("$result", result.grass_name())
output_objects.append(result)
node.add_output(output_object=result)
pc = create_process_chain_entry(expression=expression, basename=basename)
process_list.extend(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain and the name of the processing result
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
# Get the input data
input_objects = node.get_parent_by_name(parent_name="data").output_objects
input_strds = list(input_objects)[-1]
nir_band = "nir"
red_band = "red"
if "nir" in node.arguments and \
node.arguments["nir"] is not None and \
node.arguments["nir"] != "null":
nir_band = node.arguments["nir"]
if "red" in node.arguments and \
node.arguments["red"] is not None and \
node.arguments["red"] != "null":
red_band = node.arguments["red"]
target_band = None
if "target_band" in node.arguments and \
node.arguments["target_band"] is not None and \
node.arguments["target_band"] != "null":
target_band = node.arguments["target_band"]
output_objects.extend(list(input_objects))
output_object = DataObject(
name=create_output_name(input_strds.name, node),
datatype=GrassDataType.STRDS)
if target_band is None:
output_objects.append(output_object)
node.add_output(output_object=output_object)
else:
# if target band is given, extend the input strds
output_objects.append(input_strds)
node.add_output(output_object=input_strds)
pc = create_process_chain_entry(
input_strds, nir_band, red_band, target_band, output_object)
process_list.extend(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process
chain and the name of the processing result
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
# First analyse the data entry
if "id" not in node.arguments:
raise Exception("Process %s requires parameter <id>" % PROCESS_NAME)
input_object = DataObject.from_string(node.arguments["id"])
spatial_extent = None
if "spatial_extent" in node.arguments:
spatial_extent = node.arguments["spatial_extent"]
temporal_extent = None
if "temporal_extent" in node.arguments:
temporal_extent = node.arguments["temporal_extent"]
bands = None
if "bands" in node.arguments:
bands = node.arguments["bands"]
if input_object.is_strds() and \
(temporal_extent is not None or bands is not None):
output_object = DataObject(
name=create_output_name(input_object.name, node),
datatype=input_object.datatype)
elif input_object.is_stac():
output_object = DataObject(
name=create_output_name(input_object.name, node),
datatype=input_object.datatype)
else:
output_object = input_object
output_objects.append(output_object)
node.add_output(output_object)
pc = create_process_chain_entry(input_object,
spatial_extent,
temporal_extent,
bands,
output_object)
process_list.extend(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain and the name of the processing result
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
# First analyse the data entries
if "band1" not in node.arguments:
raise Exception("Process %s requires parameter <band1>" % PROCESS_NAME)
if "band2" not in node.arguments:
raise Exception("Process %s requires parameter <band2>" % PROCESS_NAME)
# Get the red and nir data separately
band1_input_objects = node.get_parent_by_name(
parent_name="band1").output_objects
band2_input_objects = node.get_parent_by_name(
parent_name="band2").output_objects
if not band1_input_objects:
raise Exception(
"Process %s requires an input strds for band 1" %
PROCESS_NAME)
if not band2_input_objects:
raise Exception(
"Process %s requires an input strds for band 2" %
PROCESS_NAME)
band1_strds = list(band1_input_objects)[-1]
band2_strds = list(band2_input_objects)[-1]
output_objects.extend(list(band1_input_objects))
output_objects.extend(list(band2_input_objects))
output_object = DataObject(
name=create_output_name(band1_strds.name, node),
datatype=GrassDataType.STRDS)
output_objects.append(output_object)
node.add_output(output_object=output_object)
pc = create_process_chain_entry(band1_strds, band2_strds, output_object)
process_list.extend(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain
and the name of the processing result layer
which is a single raster layer
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
# get dimension type
dimtype = get_dimension_type(node.arguments["dimension"])
if dimtype is None:
raise Exception(
'Unable to determine dimension type for dimension <%s>.' %
(node.arguments["dimension"]))
tree, operators = construct_tree(
node.as_dict()['arguments']['reducer']['process_graph'])
# print (operators)
formula = None
output_datatype = GrassDataType.STRDS
if dimtype == 'bands':
formula = serialize_tree(tree)
# print (formula)
output_datatype = GrassDataType.STRDS
elif dimtype == 'temporal':
if len(operators) != 1:
raise Exception(
'Only one method is supported by reduce process on the temporal dimension.'
)
input_objects, process_list = check_node_parents(node=node)
output_objects = []
for input_object in node.get_parent_by_name("data").output_objects:
output_object = DataObject(name=create_output_name(
input_object.name, node),
datatype=output_datatype)
output_objects.append(output_object)
node.add_output(output_object=output_object)
pc = create_process_chain_entry(input_object, dimtype, formula,
operators, output_object)
process_list.extend(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain
and the name of the processing result layer
which is a single raster layer
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
if "mask" not in node.arguments:
raise Exception("Parameter mask is required.")
nmasks = len(node.get_parent_by_name("mask").output_objects)
ninputs = len(node.get_parent_by_name("data").output_objects)
if nmasks > 1 and nmasks != ninputs:
raise Exception(
"Either a single mask or a separate mask for each layer is required."
)
mask_object = None
if nmasks == 1:
mask_object = node.get_parent_by_name("mask").output_objects[0]
for i in range(len(node.get_parent_by_name("data").output_objects)):
input_object = node.get_parent_by_name("data").output_objects[i]
if nmasks > 1:
mask_object = node.get_parent_by_name("mask").output_objects[i]
output_object = DataObject(name=create_output_name(
input_object.name, node),
datatype=GrassDataType.RASTER)
output_objects.append(output_object)
node.add_output(output_object=output_object)
pc = create_process_chain_entry(input_object, mask_object,
output_object)
process_list.append(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain and the name of the processing result
strds that was filtered by start and end date
:param node: The process node
:return: (output_names, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
for data_object in node.get_parent_by_name(
parent_name="data").output_objects:
# Skip if the datatype is not a strds and put the input into the output
if data_object.is_strds() is False:
output_objects.append(data_object)
continue
output_object = DataObject(name=create_output_name(
data_object.name, PROCESS_NAME),
datatype=GrassDataType.STRDS)
output_objects.append(output_object)
node.add_output(output_object=output_object)
start_time = None
end_time = None
if "extent" in node.arguments:
start_time = node.arguments["extent"][0]
end_time = node.arguments["extent"][1]
pc = create__process_chain_entry(input_object=data_object,
start_time=start_time,
end_time=end_time,
output_object=output_object)
process_list.append(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain
and the name of the processing result layer
which is a single raster layer
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
data_object = list(input_objects)[-1]
output_object = DataObject(name=create_output_name(data_object.name, node),
datatype=GrassDataType.RASTER)
output_objects.append(output_object)
node.add_output(output_object=output_object)
pc = create_process_chain_entry(data_object, output_object)
process_list.append(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain and the name of the processing result layer
which is a single raster layer
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
# Pipe the inputs to the outputs
for data_object in node.get_parent_by_name("data").output_objects:
# Export raster maps
if data_object.is_raster():
output_objects.append(data_object)
node.add_output(output_object=data_object)
pc = create_process_chain_entry(data_object=data_object)
process_list.extend(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain and the name of the processing result
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
# First analyse the data entries
if "red" not in node.arguments:
raise Exception("Process %s requires parameter <red>" % PROCESS_NAME)
if "green" not in node.arguments:
raise Exception("Process %s requires parameter <green>" % PROCESS_NAME)
if "blue" not in node.arguments:
raise Exception("Process %s requires parameter <blue>" % PROCESS_NAME)
# Get the red, green and blue data separately
red_input_objects = node.get_parent_by_name(
parent_name="red").output_objects
green_input_objects = node.get_parent_by_name(
parent_name="green").output_objects
blue_input_objects = node.get_parent_by_name(
parent_name="blue").output_objects
if not red_input_objects:
raise Exception(
"Process %s requires an input raster for band <red>" %
PROCESS_NAME)
if not green_input_objects:
raise Exception(
"Process %s requires an input raster for band <green>" %
PROCESS_NAME)
if not blue_input_objects:
raise Exception(
"Process %s requires an input raster for band <blue>" %
PROCESS_NAME)
red_object = list(red_input_objects)[-1]
green_object = list(green_input_objects)[-1]
blue_object = list(blue_input_objects)[-1]
output_objects.extend(list(red_input_objects))
output_objects.extend(list(green_input_objects))
output_objects.extend(list(blue_input_objects))
rn = randint(0, 1000000)
output_object = DataObject(
name="red_green_blue_composite_%i" %
rn, datatype=GrassDataType.STRDS)
output_objects.append(output_object)
node.add_output(output_object=output_object)
pc = create_process_chain_entry(
output_object=output_object,
red_object=red_object,
green_object=green_object,
blue_object=blue_object)
process_list.extend(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain and the name of the processing result
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
input_objects, process_list = check_node_parents(node=node)
output_objects = []
# First analyse the data entries
if "red" not in node.arguments:
raise Exception("Process %s requires parameter <red>" % PROCESS_NAME)
if "nir" not in node.arguments:
raise Exception("Process %s requires parameter <nir>" % PROCESS_NAME)
if "blue" not in node.arguments:
raise Exception("Process %s requires parameter <blue>" % PROCESS_NAME)
# Get the red and nir data separately
red_input_objects = node.get_parent_by_name(
parent_name="red").output_objects
nir_input_objects = node.get_parent_by_name(
parent_name="nir").output_objects
blue_input_objects = node.get_parent_by_name(
parent_name="blue").output_objects
if not red_input_objects:
raise Exception(
"Process %s requires an input strds for band <red>" %
PROCESS_NAME)
if not nir_input_objects:
raise Exception(
"Process %s requires an input strds for band <nir>" %
PROCESS_NAME)
if not blue_input_objects:
raise Exception(
"Process %s requires an input strds for band <blue>" %
PROCESS_NAME)
scale = 1.0
if "scale" in node.arguments:
scale = float(node.arguments["scale"])
red_strds = list(red_input_objects)[-1]
nir_strds = list(nir_input_objects)[-1]
blue_strds = list(blue_input_objects)[-1]
output_objects.extend(list(red_input_objects))
output_objects.extend(list(nir_input_objects))
output_objects.extend(list(blue_input_objects))
output_object = DataObject(
name=create_output_name(red_strds.name, node),
datatype=GrassDataType.STRDS)
output_objects.append(output_object)
node.add_output(output_object=output_object)
pc = create_process_chain_entry(
nir_strds,
red_strds,
blue_strds,
scale,
output_object)
process_list.extend(pc)
return output_objects, process_list