def readFile(fileName, context):
start_time = time.time()
dir_path = os.path.dirname(os.path.realpath(__file__))
os.chdir(dir_path)
try:
reader = open(fileName, "r")
writer = open('output.nq', 'w+')
except Exception as e:
print(e)
else:
parity = itertools.cycle([True, False])
for line in reader:
line = line.replace('%20', ',').replace('%2C', ',')
if line.startswith("_:"):
writer.write('{} <{}> .'.format(line.strip().rstrip(' .'), context))
writer.write('\n')
continue
if line.isspace():
continue
if next(parity):
line1 = line
writer.write('{} <{}> .'.format(line1.strip().rstrip(' .'), context))
writer.write('\n')
line1 = re.findall('<([^>]*)>', line)
if len(line1) == 3:
sub_line1, rel_line1, obj_line1 = line1[0], line1[1], line1[2]
elif len(line1) == 2:
sub_line1, rel_line1 = line1[0], line1[1]
obj_line1 = re.findall('"([^"]*)"', line)[0]
else:
pass
finalSub = ''
sub1 = sub_line1
sub_line1 = sub_line1.split('/')[-1].upper()
try:
extractedSub = entityEtra.get_continuous_chunks(sub_line1.upper())
print("sub ext", extractedSub)
extractedSubLength = len(extractedSub)
except Exception as e:
print(e)
else:
# print("NLTK works perfectly")
if extractedSubLength == 0:
pass
elif extractedSubLength == 1:
finalSub = extractedSub[0]
else:
writer.write(
'<{}> <{}isA> <{}> <{}> .'.format(sub1, relationToUse,
'/'.join(sub1.split('/')[:-1]) + '/' + ','.join(
extractedSub),
context))
writer.write('\n')
# writer.write('{}'.format(extractedSub))
else:
line2 = line
writer.write('{} <{}> .'.format(line2.strip().rstrip(' .'), context))
writer.write('\n')
line2 = re.findall('<([^>]*)>', line)
if len(line2) == 3:
sub_line2, rel_line2, obj_line2 = line2[0], line2[1], line2[2]
elif len(line2) == 2:
sub_line2, rel_line2 = line2[0], line2[1]
obj_line2 = re.findall('"([^"]*)"', line)[0]
else:
pass
# writer.write("Both line: {}{}".format(line1, line2))
finalObj = ''
sub2 = sub_line2
sub_line2 = sub_line2.split('/')[-1].upper()
try:
extractedObj = entityEtra.get_continuous_chunks(sub_line2.upper())
print("obj ext", extractedObj)
extractedObjLength = len(extractedObj)
except Exception as e:
print(e)
else:
# print("NLTK works perfectly")
if extractedObjLength == 0:
pass
elif extractedObjLength == 1:
finalObj = extractedObj[0]
else:
writer.write('<{}> <{}isA> <{}> <{}> .'.format(sub2, relationToUse,
'/'.join(sub2.split('/')[:-1]) + '/' + ','.join(
extractedObj), context))
writer.write('\n')
sub_line1, sub_line2 = sub_line1.lower(), sub_line2.lower()
# Calculating the similarity between two normal words that have not been changed
finalSub, finalObj = finalSub.lower(), finalObj.lower()
extractedSub = [i.lower() for i in extractedSub]
extractedObj = [i.lower() for i in extractedObj]
if extractedSubLength == 0:
if extractedObjLength == 0:
calSimilarity(sub_line1, sub_line2, writer, sub1, sub2, context)
subToUse, objToUse = sub_line1, sub_line2
elif extractedObjLength == 1:
calSimilarity(sub_line1, finalObj, writer, sub1, sub2, context)
subToUse, objToUse = sub_line1, finalObj
else:
for everyObj in extractedObj:
calSimilarity(sub_line1, everyObj, writer, sub1, sub2, context)
subToUse, objToUse = sub_line1, everyObj
if mainSim != 0:
break
elif extractedSubLength == 1:
if extractedObjLength == 0:
calSimilarity(finalSub, sub_line2, writer, sub1, sub2, context)
subToUse, objToUse = finalSub, sub_line2
elif extractedObjLength == 1:
calSimilarity(finalSub, finalObj, writer, sub1, sub2, context)
subToUse, objToUse = finalSub, finalObj
else:
for everyObj1 in extractedObj:
calSimilarity(finalSub, everyObj1, writer, sub1, sub2, context)
subToUse, objToUse = finalSub, everyObj1
if mainSim != 0:
break
else:
if extractedObjLength == 0:
for everySub in extractedSub:
calSimilarity(everySub, sub_line2, writer, sub1, sub2, context)
subToUse, objToUse = everySub, sub_line2
if mainSim != 0:
break
elif extractedObjLength == 1:
for everySub1 in extractedSub:
calSimilarity(everySub1, finalObj, writer, sub1, sub2, context)
subToUse, objToUse = everySub1, finalObj
if mainSim != 0:
break
else:
for everySub2 in extractedSub:
for everyObj2 in extractedObj:
calSimilarity(everySub2, everyObj2, writer, sub1, sub2, context)
subToUse, objToUse = everySub2, everyObj2
if mainSim != 0:
break
print("sim is: ", mainSim)
if mainSim != 0:
print("Insssside the first if")
imageURLS(subToUse, hashOut, writer, relationToUse, context)
imageURLS(objToUse, hashOut, writer, relationToUse, context)
specificImageURLs(subToUse, hashOut, writer, relationToUse, context)
specificImageURLs(objToUse, hashOut, writer, relationToUse, context)
# print("DONNNNNNNNe ALL")
writer.flush()
writer.close()
readIn = open('output.nq')
data = readIn.read().replace('<', '<').replace('>', '>').replace('\n', '</br>')
readIn.close()
return data
def readFile(fileName, context):
start_time = time.time()
dir_path = os.path.dirname(os.path.realpath(__file__))
os.chdir(dir_path)
try:
reader = open(fileName, "r")
writer = open('output.nq', 'w+')
except Exception as e:
print(e)
else:
parity = itertools.cycle([True, False])
for line in reader:
line = line.replace('%20', ',').replace('%2C', ',')
if line.startswith("_:"):
writer.write('{} <{}> .'.format(line.strip().rstrip(' .'),
context))
writer.write('\n')
continue
if line.isspace():
continue
if next(parity):
line1 = line
writer.write('{} <{}> .'.format(line1.strip().rstrip(' .'),
context))
writer.write('\n')
line1 = re.findall('<([^>]*)>', line)
if len(line1) == 3:
sub_line1, rel_line1, obj_line1 = line1[0], line1[
1], line1[2]
elif len(line1) == 2:
sub_line1, rel_line1 = line1[0], line1[1]
obj_line1 = re.findall('"([^"]*)"', line)[0]
else:
pass
finalSub = ''
sub1 = sub_line1
sub_line1 = sub_line1.split('/')[-1].upper()
try:
extractedSub = entityEtra.get_continuous_chunks(
sub_line1.upper())
extractedSubLength = len(extractedSub)
except Exception as e:
print(e)
else:
# print("NLTK works perfectly")
if extractedSubLength == 0:
pass
elif extractedSubLength == 1:
finalSub = extractedSub[0]
else:
writer.write('<{}> <{}isA> <{}> <{}> .'.format(
sub1, relationToUse,
'/'.join(sub1.split('/')[:-1]) + '/' +
','.join(extractedSub), context))
writer.write('\n')
else:
line2 = line
writer.write('{} <{}> .'.format(line2.strip().rstrip(' .'),
context))
writer.write('\n')
line2 = re.findall('<([^>]*)>', line)
if len(line2) == 3:
sub_line2, rel_line2, obj_line2 = line2[0], line2[
1], line2[2]
elif len(line2) == 2:
sub_line2, rel_line2 = line2[0], line2[1]
obj_line2 = re.findall('"([^"]*)"', line)[0]
else:
pass
# writer.write("Both line: {}{}".format(line1, line2))
finalObj = ''
sub2 = sub_line2
sub_line2 = sub_line2.split('/')[-1].upper()
try:
extractedObj = entityEtra.get_continuous_chunks(
sub_line2.upper())
extractedObjLength = len(extractedObj)
except Exception as e:
print(e)
else:
# print("NLTK works perfectly")
if extractedObjLength == 0:
pass
elif extractedObjLength == 1:
finalObj = extractedObj[0]
else:
writer.write('<{}> <{}isA> <{}> <{}> .'.format(
sub2, relationToUse,
'/'.join(sub2.split('/')[:-1]) + '/' +
','.join(extractedObj), context))
writer.write('\n')
sub_line1, sub_line2 = sub_line1.lower(), sub_line2.lower()
from relations import check_Words
words_to_use = check_Words(extractedSub, extractedObj)
first, second = words_to_use[0], words_to_use[1]
calSimilarity(first, second, writer, sub1, sub2, context)
writer.flush()
writer.close()
readIn = open('output.nq')
data = readIn.read().replace('<', '<').replace('>', '>').replace(
'\n', '</br>')
readIn.close()
return data
