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inputkggeneration.py
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inputkggeneration.py
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from rdflib import Graph, Literal, RDF, URIRef
# rdflib knows about quite a few popular namespaces, like W3C ontologies, schema.org etc.
from rdflib.namespace import FOAF , XSD
from rdflib.namespace import NamespaceManager
from rdflib import BNode
import pandas as pd
import numpy as np
from uuid import uuid4
def task_panda_inputKG (namespace, task_id, task_domain, task_purpose, inputdf, inputdata_name,dot):
#flag = check_existance()
flag = 0
if (flag==1):
#link task id to the exist task id
#linkToPolicyKG()
print('link to policy, find same datainput')
#linkToWorldKG()
#changeState()
else:
kg = Graph()
kg.parse("KGLayer/contextkg.n3")
if len(task_id) > 0 and len(inputdf) > 0:
#subject
task = URIRef(namespace+'/'+task_id)
#verb
has_ctx = URIRef(namespace+'/context')
#context object
ctx_id = str(uuid4())
ctx= URIRef(namespace+'/'+ctx_id)
_data = inputdata_name.split('.')
data_name = URIRef(namespace+'/'+_data[0])
data_type = URIRef(namespace+'/'+_data[-1])
has_datatype = URIRef(namespace+'/data_type')
has_input = URIRef(namespace+'/input_data')
has_number_record = URIRef(namespace+'/record_nubmer')
has_number_feature = URIRef(namespace+'/feature_number')
has_feature_type = URIRef(namespace+'/feature_type')
has_output = URIRef(namespace+'/desire_output')
has_ioct = URIRef(namespace+'/iocategory')
has_iodt = URIRef(namespace+'/iodatatype')
has_ioshape = URIRef(namespace+'/ioshape')
kg.add((task, has_ctx, ctx))
#object
if len(task_domain) > 0:
domain = URIRef(namespace+'/'+task_domain)
#verb
has_domain = URIRef(namespace+'/domain')
kg.add((ctx, has_domain, domain))
if len(task_domain) > 0:
_purpose = URIRef(namespace+'/'+task_purpose)
has_purpose = URIRef(namespace+'/purpose')
kg.add((ctx, has_purpose, _purpose))
if len(dot) > 0:
_output = BNode()
kg.add((ctx, has_output, _output))
for x in dot:
#print(len(x.split('.')))
if len(x.split('.'))==1:
#print(x)
kg.add((_output, has_iodt, URIRef(namespace+'/'+x)))
if len(x.split('.'))>1:
kg.add((_output, has_ioct, URIRef(namespace+'/'+x.split('.')[0])))
kg.add((_output, has_iodt, URIRef(namespace+'/'+x.split('.')[1])))
if len(x.split('.'))>2:
kg.add((_output, has_ioshape, Literal(x.split('.')[2],lang="en")))
kg.add((ctx, has_input, data_name))
kg.add((data_name, has_datatype, data_type))
#parsing inputdata
numberr = inputdf.shape[0]
numberf = inputdf.shape[1]
kg.add((data_name, has_number_record, Literal(str(numberr),lang="en")))
kg.add((data_name, has_number_feature, Literal(str(numberf),lang="en")))
for col in inputdf.columns:
col = col.replace(" ", "_")
kg.add((data_name, has_feature_type, URIRef(namespace+'/feature/'+col)))
kg.serialize(destination='KGLayer/contextkg'+".n3")
kg.close()
return ctx
def task_normal_inputKG (namespace, task_id, task_domain, task_purpose, inputdata_name, dot):
#flag = check_existance()
flag = 0
if (flag==1):
#link task id to the exist task id
#linkToPolicyKG()
print('link to policy, find same datainput')
#linkToWorldKG()
#changeState()
else:
kg = Graph()
kg.parse("KGLayer/contextkg.n3")
if len(task_id) > 0:
#subject
task = URIRef(namespace+'/'+task_id)
#verb
has_ctx = URIRef(namespace+'/context')
#context object
ctx_id = str(uuid4())
ctx= URIRef(namespace+'/'+ctx_id)
_data = inputdata_name.split('.')
data_name = URIRef(namespace+'/'+_data[0])
data_type = URIRef(namespace+'/'+_data[-1])
has_datatype = URIRef(namespace+'/data_type')
has_input = URIRef(namespace+'/input_data')
has_output = URIRef(namespace+'/desire_output')
has_ioct = URIRef(namespace+'/iocategory')
has_iodt = URIRef(namespace+'/iodatatype')
has_ioshape = URIRef(namespace+'/ioshape')
kg.add((task, has_ctx, ctx))
#object
if len(task_domain) > 0:
domain = URIRef(namespace+'/'+task_domain)
#verb
has_domain = URIRef(namespace+'/domain')
kg.add((ctx, has_domain, domain))
if len(task_domain) > 0:
_purpose = URIRef(namespace+'/'+task_purpose)
has_purpose = URIRef(namespace+'/purpose')
kg.add((ctx, has_purpose, _purpose))
if len(dot) > 0:
_output = BNode()
kg.add((ctx, has_output, _output))
for x in dot:
#print(len(x.split('.')))
if len(x.split('.'))==1:
#print(x)
kg.add((_output, has_iodt, URIRef(namespace+'/'+x)))
if len(x.split('.'))>1:
kg.add((_output, has_ioct, URIRef(namespace+'/'+x.split('.')[0])))
kg.add((_output, has_iodt, URIRef(namespace+'/'+x.split('.')[1])))
if len(x.split('.'))>2:
kg.add((_output, has_ioshape, Literal(x.split('.')[2],lang="en")))
#data_name = URIRef(namespace+'/'+dataname)
#data_type = URIRef(namespace+'/'+data_type)
kg.add((ctx, has_input, data_name))
kg.add((data_name, has_datatype, data_type))
kg.serialize(destination='KGLayer/contextkg'+".n3")
kg.close()
return ctx