def main():
Neo4jDrive.insertNode(nameOfFile)
columnNames = CSVRead.readCSV(nameOfFile,
firstRow=True,
choice=[0, 1, 2, 3, 4])
for name in columnNames:
Neo4jDrive.insertNodeAndRelationship(nameOfFile, "Column", name)
#support=CSVRead.getSupport(nameOfFile,0)
#totalNumberOfValues=CSVRead.numberOfItems(support)
for column in range(
sum([
1 for _ in Neo4jDrive.findRelationshipsOfNode(
nameOfFile, "Column")
])):
support = CSVRead.getSupport(nameOfFile, column)
totalNumberOfValues = CSVRead.numberOfItems(support)
#print i.end_node
#cNode=Neo4jDrive.findNodeByName(columnNames[column])
for item in support.keys():
k = itemThread(item, columnNames, column, support,
totalNumberOfValues)
k.start()
k.join()
def main():
Neo4jDrive.insertNode(nameOfFile)
columnNames=CSVRead.readCSV(nameOfFile,firstRow=True, choice=[0,1,2,3,4])
for name in columnNames:
Neo4jDrive.insertNodeAndRelationship(nameOfFile,"Column",name)
#support=CSVRead.getSupport(nameOfFile,0)
#totalNumberOfValues=CSVRead.numberOfItems(support)
for column in range(sum([1 for _ in Neo4jDrive.findRelationshipsOfNode(nameOfFile,"Column")])):
support=CSVRead.getSupport(nameOfFile,column)
totalNumberOfValues=CSVRead.numberOfItems(support)
#print i.end_node
#cNode=Neo4jDrive.findNodeByName(columnNames[column])
for item in support.keys():
k=itemThread(item,columnNames,column,support,totalNumberOfValues)
k.start()
k.join()
def main():
Neo4jDrive.insertNode(nameOfFile)
columnNames=CSVRead.readCSV(nameOfFile,firstRow=True, choice=[0,1,2,3,4])
for name in columnNames:
Neo4jDrive.insertNodeAndRelationship(nameOfFile,"Column",name)
#support=CSVRead.getSupport(nameOfFile,0)
#totalNumberOfValues=CSVRead.numberOfItems(support)
for column in range(sum([1 for _ in Neo4jDrive.findRelationshipsOfNode(nameOfFile,"Column")])):
support=CSVRead.getSupport(nameOfFile,column)
totalNumberOfValues=CSVRead.numberOfItems(support)
#print i.end_node
#cNode=Neo4jDrive.findNodeByName(columnNames[column])
for item in support.keys():
node=Neo4jDrive.findNodeByName(item)
if node== None:
Neo4jDrive.insertNodeAndRelationship(columnNames[column],'dataItems',item)
node=Neo4jDrive.findNodeByName(item)
node.properties['fvalue']=support[item]
node.push()
rlist=sparqlQuerypy.findBottomUp(item)
for r in rlist:
try:
rel_data=Neo4jDrive.insertNodeAndRelationship(item,"cc",r[0])
rel_data1=Neo4jDrive.insertNodeAndRelationship(r[0],"dd",r[2])
node=node=Neo4jDrive.findNodeByName(r[2])
if node.properties['incoming']==None:
node.properties['incoming']=1
else:
node.properties['incoming']+=1
node.properties['type']='type'
node.push()
except :
print columnNames[column],'cc',r[0]
rel_data=rel_data[0]
rel_data.properties['rel_class'] = 'cc'
rel_data.properties['support']=support[item]/(totalNumberOfValues*1.0)
rel_data.push()
def main():
Neo4jDrive.insertNode(nameOfFile)
columnNames = CSVRead.readCSV(nameOfFile, firstRow=True, choice=[0, 1, 2, 3, 4])
for name in columnNames:
Neo4jDrive.insertNodeAndRelationship(nameOfFile, "Column", name)
# support=CSVRead.getSupport(nameOfFile,0)
# totalNumberOfValues=CSVRead.numberOfItems(support)
for column in range(sum([1 for _ in Neo4jDrive.findRelationshipsOfNode(nameOfFile, "Column")])):
support = CSVRead.getSupport(nameOfFile, column)
totalNumberOfValues = CSVRead.numberOfItems(support)
# print i.end_node
# cNode=Neo4jDrive.findNodeByName(columnNames[column])
for item in support.keys():
node = Neo4jDrive.findNodeByName(item)
if node == None:
Neo4jDrive.insertNodeAndRelationship(columnNames[column], "dataItems", item)
node = Neo4jDrive.findNodeByName(item)
node.properties["fvalue"] = support[item]
node.push()
rlist = sparqlQuerypy.findBottomUp(item)
for r in rlist:
try:
rel_data = Neo4jDrive.insertNodeAndRelationship(item, "cc", r[0])
rel_data1 = Neo4jDrive.insertNodeAndRelationship(r[0], "dd", r[2])
node = node = Neo4jDrive.findNodeByName(r[2])
if node.properties["incoming"] == None:
node.properties["incoming"] = 1
else:
node.properties["incoming"] += 1
node.properties["type"] = "type"
node.push()
except:
print columnNames[column], "cc", r[0]
rel_data = rel_data[0]
rel_data.properties["rel_class"] = "cc"
rel_data.properties["support"] = support[item] / (totalNumberOfValues * 1.0)
rel_data.push()
