def defineCharacteristics(self):
self.name = "Polar plot"
self.group = "Graphics"
self.addParameter(ParameterTable(self.INPUT, "Input table"))
self.addParameter(
ParameterTableField(self.NAME_FIELD, "Category name field",
self.INPUT))
self.addParameter(
ParameterTableField(self.VALUE_FIELD, "Value field", self.INPUT))
self.addOutput(OutputHTML(self.OUTPUT, "Output"))
def defineCharacteristics(self):
self.name = "ogrinfo"
self.group = "Miscellaneous"
# we add the input vector layer. It can have any kind of geometry
# It is a mandatory (not optional) one, hence the False argument
self.addParameter(
ParameterVector(self.INPUT_LAYER, "Input layer",
ParameterVector.VECTOR_TYPE_ANY, False))
self.addOutput(OutputHTML(self.OUTPUT, "Layer information"))
def defineCharacteristics(self):
self.name = "Information"
self.group = "[GDAL] Miscellaneous"
self.addParameter(
ParameterRaster(information.INPUT, "Input layer", False))
self.addParameter(
ParameterBoolean(information.NOGCP, "Suppress GCP info", False))
self.addParameter(
ParameterBoolean(information.NOMETADATA, "Suppress metadata info",
False))
self.addOutput(OutputHTML(information.OUTPUT, "Layer information"))
def defineCharacteristics(self):
self.name = "List unique values"
self.group = "Analysis tools"
self.addParameter(
ParameterVector(self.INPUT_LAYER, "Input layer",
ParameterVector.VECTOR_TYPE_ANY))
self.addParameter(
ParameterTableField(self.FIELD_NAME, "Targer field",
self.INPUT_LAYER,
ParameterTableField.DATA_TYPE_ANY))
self.addOutput(OutputHTML(self.OUTPUT, "Unique values"))
self.addOutput(OutputNumber(self.TOTAL_VALUES, "Total unique values"))
def defineCharacteristics(self):
self.name = "Raster layer statistics"
self.group = "Raster tools"
self.addParameter(ParameterRaster(self.INPUT, "Input layer"))
self.addOutput(OutputHTML(self.OUTPUT_HTML_FILE, "Statistics"))
self.addOutput(OutputNumber(self.MIN, "Minimum value"))
self.addOutput(OutputNumber(self.MAX, "Maximum value"))
self.addOutput(OutputNumber(self.SUM, "Sum"))
self.addOutput(OutputNumber(self.MEAN, "Mean value"))
self.addOutput(OutputNumber(self.COUNT, "valid cells count"))
self.addOutput(OutputNumber(self.COUNT, "No-data cells count"))
self.addOutput(OutputNumber(self.STD_DEV, "Standard deviation"))
def defineCharacteristics(self):
self.name = "Vector layer histogram"
self.group = "Graphics"
self.addParameter(
ParameterVector(self.INPUT, "Input layer",
[ParameterVector.VECTOR_TYPE_ANY]))
self.addParameter(
ParameterTableField(self.FIELD, "Attribute", self.INPUT,
ParameterTableField.DATA_TYPE_NUMBER))
self.addParameter(
ParameterNumber(self.BINS, "number of bins", 2, None, 10))
self.addOutput(OutputHTML(self.OUTPUT, "Output"))
def defineCharacteristics(self):
self.name = "Execute SQL"
self.group = "[OGR] Miscellaneous"
#we add the input vector layer. It can have any kind of geometry
#It is a mandatory (not optional) one, hence the False argument
self.addParameter(
ParameterVector(self.INPUT_LAYER, "Input layer",
[ParameterVector.VECTOR_TYPE_ANY], False))
self.addParameter(ParameterString(self.SQL, "SQL", ""))
self.addOutput(OutputHTML(self.OUTPUT, "SQL result"))
def defineCharacteristics(self):
self.name = "Basic statistics"
self.group = "Analysis tools"
self.addParameter(
ParameterVector(BasicStatistics.INPUT, "Input layer",
ParameterVector.VECTOR_TYPE_ANY))
self.addParameter(
ParameterTableField(BasicStatistics.FIELD, "Field",
BasicStatistics.INPUT))
self.addParameter(
ParameterBoolean(BasicStatistics.USE_SELECTION, "Use selection",
False))
self.addOutput(OutputHTML(BasicStatistics.OUTPUT, "Statistics"))
def defineCharacteristics(self):
self.name = "Vector layer scatterplot"
self.group = "Graphics"
self.addParameter(
ParameterVector(self.INPUT, "Input layer",
[ParameterVector.VECTOR_TYPE_ANY]))
self.addParameter(
ParameterTableField(self.XFIELD, "X attribute", self.INPUT,
ParameterTableField.DATA_TYPE_NUMBER))
self.addParameter(
ParameterTableField(self.YFIELD, "Y attribute", self.INPUT,
ParameterTableField.DATA_TYPE_NUMBER))
self.addOutput(OutputHTML(self.OUTPUT, "Output"))
def defineCharacteristics(self):
self.name = "Nearest neighbour analysis"
self.group = "Analysis tools"
self.addParameter(ParameterVector(self.POINTS, "Points", ParameterVector.VECTOR_TYPE_POINT))
self.addOutput(OutputHTML(self.OUTPUT, "Result"))
self.addOutput(OutputNumber(self.OBSERVED_MD, "Observed mean distance"))
self.addOutput(OutputNumber(self.EXPECTED_MD, "Expected mean distance"))
self.addOutput(OutputNumber(self.NN_INDEX, "Nearest neighbour index"))
self.addOutput(OutputNumber(self.POINT_COUNT, "Number of points"))
self.addOutput(OutputNumber(self.Z_SCORE, "Z-Score"))
def defineCharacteristics(self):
self.name = "Basic statistics for text fields"
self.group = "Vector table tools"
self.addParameter(ParameterVector(self.INPUT_LAYER, "Input vector layer", ParameterVector.VECTOR_TYPE_ANY, False))
self.addParameter(ParameterTableField(self.FIELD_NAME, "Field to calculate statistics on", self.INPUT_LAYER, ParameterTableField.DATA_TYPE_STRING))
self.addOutput(OutputHTML(self.OUTPUT_HTML_FILE, "Statistics for text field"))
self.addOutput(OutputNumber(self.MIN_LEN, "Minimum length"))
self.addOutput(OutputNumber(self.MAX_LEN, "Maximum length"))
self.addOutput(OutputNumber(self.MEAN_LEN, "Mean length"))
self.addOutput(OutputNumber(self.COUNT, "Count"))
self.addOutput(OutputNumber(self.EMPTY, "Number of empty values"))
self.addOutput(OutputNumber(self.FILLED, "Number of non-empty values"))
self.addOutput(OutputNumber(self.UNIQUE, "Number of unique values"))
def defineCharacteristics(self):
self.name = "Basic statistics for numeric fields"
self.group = "Vector table tools"
self.addParameter(ParameterVector(self.INPUT_LAYER, "Input vector layer", ParameterVector.VECTOR_TYPE_ANY, False))
self.addParameter(ParameterTableField(self.FIELD_NAME, "Field to calculate statistics on",
self.INPUT_LAYER, ParameterTableField.DATA_TYPE_NUMBER))
self.addOutput(OutputHTML(self.OUTPUT_HTML_FILE, "Statistics for numeric field"))
self.addOutput(OutputNumber(self.CV, "Coefficient of Variation"))
self.addOutput(OutputNumber(self.MIN, "Minimum value"))
self.addOutput(OutputNumber(self.MAX, "Maximum value"))
self.addOutput(OutputNumber(self.SUM, "Sum"))
self.addOutput(OutputNumber(self.MEAN, "Mean value"))
self.addOutput(OutputNumber(self.COUNT, "Count"))
self.addOutput(OutputNumber(self.RANGE, "Range"))
self.addOutput(OutputNumber(self.MEDIAN, "Median"))
self.addOutput(OutputNumber(self.UNIQUE, "Number of unique values"))
self.addOutput(OutputNumber(self.STD_DEV, "Standard deviation"))
def parseDescription(self, lines):
self.script = ""
self.commands = []
self.showPlots = False
self.showConsoleOutput = False
self.useRasterPackage = True
self.passFileNames = False
self.verboseCommands = []
ender = 0
line = lines.next().strip("\n").strip("\r")
while ender < 10:
if line.startswith("##"):
try:
self.processParameterLine(line)
except Exception:
raise WrongScriptException("Could not load R script:" +
self.descriptionFile +
".\n Problem with line \"" +
line + "\"")
elif line.startswith(">"):
self.commands.append(line[1:])
self.verboseCommands.append(line[1:])
if not self.showConsoleOutput:
self.addOutput(
OutputHTML(RAlgorithm.R_CONSOLE_OUTPUT,
"R Console Output"))
self.showConsoleOutput = True
else:
if line == '':
ender += 1
else:
ender = 0
self.commands.append(line)
self.script += line + "\n"
try:
line = lines.next().strip("\n").strip("\r")
except:
break
def defineCharacteristics(self):
self.name = "lasinfo"
self.group = "Tools"
self.addParameter(ParameterFile(lasinfo.INPUT, "Input las layer"))
self.addOutput(OutputHTML(lasinfo.OUTPUT, "Output info file"))
def processParameterLine(self,line):
param = None
out = None
line = line.replace("#", "");
# If the line is in the format of the text description files for normal algorithms,
# then process it using parameter and output factories
if '|' in line:
self.processDescriptionParameterLine(line)
return
tokens = line.split("=");
desc = self.createDescriptiveName(tokens[0])
if tokens[1].lower().strip() == "group":
self.group = tokens[0]
return
if tokens[1].lower().strip() == "name":
self.name = tokens[0]
return
if tokens[1].lower().strip() == "raster":
param = ParameterRaster(tokens[0], desc, False)
elif tokens[1].lower().strip() == "vector":
param = ParameterVector(tokens[0], desc,ParameterVector.VECTOR_TYPE_ANY)
elif tokens[1].lower().strip() == "table":
param = ParameterTable(tokens[0], desc, False)
elif tokens[1].lower().strip() == "multiple raster":
param = ParameterMultipleInput(tokens[0], desc, ParameterMultipleInput.TYPE_RASTER)
param.optional = False
elif tokens[1].lower().strip() == "multiple vector":
param = ParameterMultipleInput(tokens[0], desc, ParameterMultipleInput.TYPE_VECTOR_ANY)
param.optional = False
elif tokens[1].lower().strip().startswith("selection"):
options = tokens[1].strip()[len("selection"):].split(";")
param = ParameterSelection(tokens[0], desc, options);
elif tokens[1].lower().strip().startswith("boolean"):
default = tokens[1].strip()[len("boolean")+1:]
param = ParameterBoolean(tokens[0], desc, default)
elif tokens[1].lower().strip() == "extent":
param = ParameterExtent(tokens[0], desc)
elif tokens[1].lower().strip() == "file":
param = ParameterFile(tokens[0], desc, False)
elif tokens[1].lower().strip() == "folder":
param = ParameterFile(tokens[0], desc, True)
elif tokens[ 1].lower().strip().startswith("number"):
default = tokens[1].strip()[len("number")+1:]
param = ParameterNumber(tokens[0], desc, default=default)
elif tokens[1].lower().strip().startswith("field"):
field = tokens[1].strip()[len("field")+1:]
found = False
for p in self.parameters:
if p.name == field:
found = True
break
if found:
param = ParameterTableField(tokens[0], tokens[0], field)
elif tokens[1].lower().strip().startswith("string"):
default = tokens[1].strip()[len("string")+1:]
param = ParameterString(tokens[0], desc, default)
elif tokens[1].lower().strip().startswith("output raster"):
out = OutputRaster()
elif tokens[1].lower().strip().startswith("output vector"):
out = OutputVector()
elif tokens[1].lower().strip().startswith("output table"):
out = OutputTable()
elif tokens[1].lower().strip().startswith("output html"):
out = OutputHTML()
elif tokens[1].lower().strip().startswith("output file"):
out = OutputFile()
elif tokens[1].lower().strip().startswith("output number"):
out = OutputNumber()
elif tokens[1].lower().strip().startswith("output string"):
out = OutputString()
if param != None:
self.addParameter(param)
elif out != None:
out.name = tokens[0]
out.description = tokens[0]
self.addOutput(out)
else:
raise WrongScriptException("Could not load script:" + self.descriptionFile + ".\n Problem with line \"" + line + "\"")
def processParameterLine(self, line):
param = None
out = None
line = line.replace("#", "")
if line.lower().strip().startswith("showplots"):
self.showPlots = True
self.addOutput(OutputHTML(RAlgorithm.RPLOTS, "R Plots"))
return
if line.lower().strip().startswith("dontuserasterpackage"):
self.useRasterPackage = False
return
if line.lower().strip().startswith("passfilenames"):
self.passFileNames = True
return
tokens = line.split("=")
desc = self.createDescriptiveName(tokens[0])
if tokens[1].lower().strip() == "group":
self.group = tokens[0]
return
if tokens[1].lower().strip().startswith("raster"):
param = ParameterRaster(tokens[0], desc, False)
elif tokens[1].lower().strip() == "vector":
param = ParameterVector(tokens[0], desc,
ParameterVector.VECTOR_TYPE_ANY)
elif tokens[1].lower().strip() == "table":
param = ParameterTable(tokens[0], desc, False)
elif tokens[1].lower().strip().startswith("multiple raster"):
param = ParameterMultipleInput(tokens[0], desc,
ParameterMultipleInput.TYPE_RASTER)
param.optional = False
elif tokens[1].lower().strip() == "multiple vector":
param = ParameterMultipleInput(
tokens[0], desc, ParameterMultipleInput.TYPE_VECTOR_ANY)
param.optional = False
elif tokens[1].lower().strip().startswith("selection"):
options = tokens[1].strip()[len("selection"):].split(";")
param = ParameterSelection(tokens[0], desc, options)
elif tokens[1].lower().strip().startswith("boolean"):
default = tokens[1].strip()[len("boolean") + 1:]
param = ParameterBoolean(tokens[0], desc, default)
elif tokens[1].lower().strip().startswith("number"):
try:
default = float(tokens[1].strip()[len("number") + 1:])
param = ParameterNumber(tokens[0], desc, default=default)
except:
raise WrongScriptException("Could not load R script:" +
self.descriptionFile +
".\n Problem with line \"" + line +
"\"")
elif tokens[1].lower().strip().startswith("field"):
field = tokens[1].strip()[len("field") + 1:]
found = False
for p in self.parameters:
if p.name == field:
found = True
break
if found:
param = ParameterTableField(tokens[0], tokens[0], field)
elif tokens[1].lower().strip() == "extent":
param = ParameterExtent(tokens[0], desc)
elif tokens[1].lower().strip() == "file":
param = ParameterFile(tokens[0], desc, False)
elif tokens[1].lower().strip() == "folder":
param = ParameterFile(tokens[0], desc, True)
elif tokens[1].lower().strip().startswith("string"):
default = tokens[1].strip()[len("string") + 1:]
param = ParameterString(tokens[0], desc, default)
elif tokens[1].lower().strip().startswith("output raster"):
out = OutputRaster()
elif tokens[1].lower().strip().startswith("output vector"):
out = OutputVector()
elif tokens[1].lower().strip().startswith("output table"):
out = OutputTable()
elif tokens[1].lower().strip().startswith("output file"):
out = OutputFile()
if param != None:
self.addParameter(param)
elif out != None:
out.name = tokens[0]
out.description = tokens[0]
self.addOutput(out)
else:
raise WrongScriptException("Could not load R script:" +
self.descriptionFile +
".\n Problem with line \"" + line +
"\"")
def defineCharacteristics(self):
self.name = "Nearest neighbour analysis"
self.group = "Analysis tools"
self.addParameter(ParameterVector(NearestNeighbourAnalysis.POINTS, "Points", ParameterVector.VECTOR_TYPE_POINT))
self.addOutput(OutputHTML(NearestNeighbourAnalysis.OUTPUT, "Result"))
