def inputs(self):
return {
"timestamp_folder": File_Txt(self.node.inputs[0]),
"pathTocredentials":
ReadDaggitTask_Folderpath(self.node.inputs[1]),
"categoryLookup": ReadDaggitTask_Folderpath(self.node.inputs[2])
}
def inputs(self):
return {
"DS_DATA_HOME": ReadDaggitTask_Folderpath(self.node.inputs[0]),
"pathTocredentials":
ReadDaggitTask_Folderpath(self.node.inputs[1]),
"localpathTocontentMeta": Pandas_Dataframe(self.node.inputs[2])
}
def inputs(self):
return {
"pathTotaxonomy": Pandas_Dataframe(self.node.inputs[0]),
"categoryLookup": ReadDaggitTask_Folderpath(self.node.inputs[1]),
"timestamp_folder": File_Txt(self.node.inputs[2]),
"pathTocredentials": ReadDaggitTask_Folderpath(self.node.inputs[3])
}
def inputs(self):
return {
"DS_DATA_HOME": ReadDaggitTask_Folderpath(self.node.inputs[0]),
"pathTocredentials":
ReadDaggitTask_Folderpath(self.node.inputs[1]),
"pathTotriggerJson": ReadDaggitTask_Folderpath(self.node.inputs[2])
}
def inputs(self):
return {
"pathTotaxonomy": Pandas_Dataframe(self.node.inputs[0]),
"categoryLookup": ReadDaggitTask_Folderpath(self.node.inputs[1]),
"pathTotimestampfolder":
ReadDaggitTask_Folderpath(self.node.inputs[2]),
"pathTocorpus": ReadDaggitTask_Folderpath(self.node.inputs[3])
}
def inputs(self):
return {
"localpathTocontentMeta": Pandas_Dataframe(self.node.inputs[0]),
"pathTotaxonomy": Pandas_Dataframe(self.node.inputs[1]),
"pathToroot": ReadDaggitTask_Folderpath(self.node.inputs[2]),
"pathTocorpusfolder":
ReadDaggitTask_Folderpath(self.node.inputs[3])
}
def inputs(self):
return {
"pathTotimestampfolder":
ReadDaggitTask_Folderpath(self.node.inputs[0]),
"pathToobservedtag":
ReadDaggitTask_Folderpath(self.node.inputs[1]),
"pathTopredictedtag":
ReadDaggitTask_Folderpath(self.node.inputs[2])
}
def inputs(self):
return {
"data1": Pandas_Dataframe(self.node.inputs[0]),
"data2": Pandas_Dataframe(self.node.inputs[1]),
"data3": Pandas_Dataframe(self.node.inputs[2]),
"data4": Pandas_Dataframe(self.node.inputs[3]),
"models1": ReadDaggitTask_Folderpath(self.node.inputs[4]),
"models2": ReadDaggitTask_Folderpath(self.node.inputs[5]),
"models3": ReadDaggitTask_Folderpath(self.node.inputs[6]),
"models4": ReadDaggitTask_Folderpath(self.node.inputs[7])
}
def inputs(self):
"""
Inputs needed to create DTB
:returns: toc and text files
"""
return {
"toc_csv_file": ReadDaggitTask_Folderpath(self.node.inputs[0]),
"extract_text_file":
ReadDaggitTask_Folderpath(self.node.inputs[1]),
}
def inputs(self):
"""
Function that the OcrTextExtraction operator defines while returning graph inputs
:returns: Inputs to the node of the Auto tagging graph
DS_DATA_HOME: a localpath where the folders get created
pathTocredentials: path to config file with credentials
pathToPDF: path to PDF file
"""
return {
"DS_DATA_HOME": ReadDaggitTask_Folderpath(self.node.inputs[0]),
"pathTocredentials":
ReadDaggitTask_Folderpath(self.node.inputs[1]),
"pathToPDF": ReadDaggitTask_Folderpath(self.node.inputs[2])
}
def inputs(self):
"""
Function that the ContentToTextRead operator defines while returning graph inputs
:returns: Inputs to the node of the Auto tagging graph
DS_DATA_HOME: a localpath where the folders get created
localpathTocontentMeta: path to content meta
pathTocredentials: path to config file with credentials
"""
return {
"DS_DATA_HOME":
ReadDaggitTask_Folderpath(self.node.inputs[0]),
"localpathTocontentMeta":
ReadDaggitTask_Folderpath(self.node.inputs[1]),
"pathTocredentials":
ReadDaggitTask_Folderpath(self.node.inputs[2])
}
def inputs(self):
return {
"localpathTocontentMeta":
ReadDaggitTask_Folderpath(self.node.inputs[0]),
"pathTotaxonomy":
Pandas_Dataframe(self.node.inputs[1]),
"path_to_timestampFolder":
File_Txt(self.node.inputs[2])
}
def inputs(self):
return {
"pathTotaxonomy": Pandas_Dataframe(self.node.inputs[0]),
"pathTocontents": ReadDaggitTask_Folderpath(self.node.inputs[1])
}
def inputs(self):
return [
os.path.dirname(ReadDaggitTask_Folderpath(x).read_loc())
for x in self.node.inputs
]
def outputs(self):
return {
"models_dir":
os.path.dirname(
ReadDaggitTask_Folderpath(self.node.outputs[0]).read_loc())
}
def inputs(self):
return {
"pathTocredentials":
ReadDaggitTask_Folderpath(self.node.inputs[0]),
"pathTocontentMeta": File_Txt(self.node.inputs[1])
}
def inputs(self):
return {"features": Pandas_Dataframe(self.node.inputs[0]),
"split": Pandas_Dataframe(self.node.inputs[1]),
"modelgrids": [os.path.dirname(ReadDaggitTask_Folderpath(x).read_loc())
for x in self.node.inputs][2:]}
def inputs(self):
return {
"pathTotimestampfolder":
ReadDaggitTask_Folderpath(self.node.inputs[0])
}
def outputs(self):
return {"models": ReadDaggitTask_Folderpath(self.node.outputs[0])}