def check_condition(items, cont, quantity):
g = nltk.Assignment(folval.domain)
m = nltk.Model(folval.domain, folval)
# Checking if a field has all/any(some) items in it
sent = quantity + ' ' + items + ' are_in ' + cont
results = nltk.evaluate_sents([sent], grammar_file, m, g)[0][0]
if results[2]:
return 'Yes.'
else:
return 'No.'
def check_for_car(input_arr):
# check car locations
input_arr = remove_spaces(input_arr)
g = nltk.Assignment(fol_val.domain)
m = nltk.Model(fol_val.domain, fol_val)
sent = 'some ' + input_arr[1] + ' are_in ' + input_arr[2]
answer = nltk.evaluate_sents([sent], grammar_file, m, g)[0][0]
if answer[2]:
print("Your", input_arr[1], "is in", input_arr[2])
else:
print("Your", input_arr[1], "is not in", input_arr[2])
def answer(self, sentence):
words = sentence.split(" ")
sanatized_sentence = " ".join(list(map(self.__sanatizeWord, words)))
try:
results = nltk.evaluate_sents([sanatized_sentence], self.grammar,
self.model, self.assignment)
(_, logical_expression, value) = results[0][0]
(response, new_value) = self.__format_response(logical_expression)
return (logical_expression, new_value, response)
except:
return ("", None, "")
def is_all_cards_in_zone(self, location_input):
g = nltk.Assignment(self.valuation.domain)
m = nltk.Model(self.valuation.domain, self.valuation)
location = self.translate_location(location_input)
if location is None:
print("That doesn't make sense :(")
return
sent = "all card are_in " + location
results = nltk.evaluate_sents([sent], self.grammar_file, m, g)[0][0]
if results[2] == True:
print("Yes.")
else:
print("No.")
if ('',) in folval["be_in"]:
folval["be_in"].clear()
folval["be_in"].add((o, folval[recipe])) #insert location
print("Bot: Added!")
elif cmd == 5: #Are there any x in y
if folval.__contains__(params[1]) == False:
print("Bot: Sorry but the ingredient does not exist")
else:
if params[2] not in recipeList:
print("Bot: The recipe does not exist")
else:
g = nltk.Assignment(folval.domain)
m = nltk.Model(folval.domain, folval)
recipe = "recipe" + str(recipeList.index(params[2]))
sent = 'some ' + params[1] + ' are_in ' + recipe
results = nltk.evaluate_sents([sent], grammar_file, m, g)[0][0]
if results[2] == True:
print("Yes.")
else:
print("No.")
elif cmd == 6: # Are all x in y
if folval.__contains__(params[1]) == False:
print("Bot: Sorry but the ingredient does not exist")
else:
if params[2] not in recipeList:
print("Bot: The recipe does not exist")
else:
g = nltk.Assignment(folval.domain)
m = nltk.Model(folval.domain, folval)
recipe = "recipe" + str(recipeList.index(params[2]))
sent = 'all ' + params[1] + ' are_in ' + recipe
v = """
bertie=>b
olive=>o
cyril=>c
boy=>{b}
girl=>{o}
dog=>{c}
walk=>{o,c}
see=>{(b,o),(c,b),(o,c)}
"""
val = nltk.Valuation.fromstring(v)
grammar = nltk.Assignment(val.domain)
model = nltk.Model(val.domain, val)
sent = 'Cyril sees every boy'
grammar_file = 'grammars/book_grammars/simple-sem.fcfg'
results = nltk.evaluate_sents([sent], grammar_file, model, grammar)[0]
for (synrep, semrep, value) in results:
print(synrep)
print(semrep)
print(value)
# 4.5 量词歧义（同一个句子的不同的量词表示，可以跳过）
# 在语义表示与句法分析紧密耦合的前提下，语义中量词的范围也反映了句法分析树中对应的NP的相对范围。
# Cooper存储：是由“核心”语义表示与绑定操作符链表组成的配对。
# S-检索：结合了绑定操作符与核心的操作。
# 建立一个“核心+存储表示”的组合
# nltk.sem.cooper_storage将存储形式的语义表示转换成标准逻辑形式
from nltk.sem import cooper_storage as cs
sentence = 'every girl chases a dog'
trees = cs.parse_with_bindops(sentence,
"""
if mode == 1 or mode == 2:
# Load model valuations
val = nltk.Valuation.fromstring(v)
# Initialize assignment g
g = nltk.Assignment(val.domain)
# Create model
m = nltk.Model(val.domain, val)
# Input sentence
sent = inputAsString
results = nltk.evaluate_sents([sent], grammar2, m, g)[0]
for (syntree, semrep, value) in results:
#print(semrep)
#print(value)
if value == True and mode == 1:
print("I Know.")
break
elif value == False and mode == 1:
print("I Don't think so.")
break
elif value == True and mode == 2:
print("yes.")
break
elif value == False and mode == 2:
print("No.")
def get_bot_response():
while True:
#get user input
try:
userInput = request.args.get('msg')
userInput = str(userInput)
except (KeyboardInterrupt, EOFError) as e:
ans = "Bye!"
return ans
break
#pre-process user input and determine response agent (if needed)
responseAgent = 'query'
#activate selected response agent
if responseAgent == 'query':
answer = kern.respond(userInput)
#post-process the answer for commands
if answer[0] == '#':
params = answer[1:].split('$')
cmd = int(params[0])
if cmd == 0:
ans = params[1]
return ans
break
elif cmd == 1:
wpage = wiki_wiki.page(params[1])
if wpage.exists():
ans1 = wpage.summary[
0:300] + '...' + 'Learn more at ' + wpage.canonicalurl
return ans1
else:
ans = "Sorry, I don't know what that is."
return ans
elif cmd == 2:
userInput = userInput.lower()
return response(userInput)
######################################################
# CFG phrases #
######################################################
elif cmd == 4: # I will buy x from y
o = 'o' + str(objCounter)
folval['o' + o] = o #insert constant
if len(folval[params[1]]) == 1: #clean up if necessary
if ('', ) in folval[params[1]]:
folval[params[1]].clear()
folval[params[1]].add((o, )) #insert dog
folval["be_in"].add((o, folval[params[2]])) #insert location
g = nltk.Assignment(folval.domain)
m = nltk.Model(folval.domain, folval)
sent = 'some ' + params[1] + ' are_in ' + params[2]
results = nltk.evaluate_sents([sent], grammar_file, m, g)[0][0]
if results[2] == True:
ans = "There's some " + params[1] + " in " + params[2] + "."
return ans
else:
ans = "No."
return ans
elif cmd == 5: #Are there any x in y
g = nltk.Assignment(folval.domain)
m = nltk.Model(folval.domain, folval)
sent = 'some ' + params[1] + ' are_in ' + params[2]
results = nltk.evaluate_sents([sent], grammar_file, m, g)[0][0]
if results[2] == True:
ans = "Yes. There are some " + params[1] + " in " + params[
2] + "."
return ans
else:
ans = "No."
return ans
elif cmd == 7: # Which dogs are in ...
g = nltk.Assignment(folval.domain)
m = nltk.Model(folval.domain, folval)
e = nltk.Expression.fromstring("be_in(x," + params[1] + ")")
sat = m.satisfiers(e, "x", g)
counter = 0
ans = "The list of dogs available are: "
if len(sat) == 0:
ans = "None."
return ans
else:
#find satisfying objects in the valuation dictionary,
#and print their type names
sol = folval.values()
for so in sat:
for k, v in folval.items():
if counter == 5:
return ans
break
if len(v) > 0:
vl = list(v)
if len(vl[0]) == 1:
for i in vl:
if i[0] == so:
if counter == 4:
ans = ans + k + ". "
counter = counter + 1
else:
ans = ans + k + ", "
counter = counter + 1
break
elif cmd == 8: # I will buy a x from y
o = 'o' + str(objCounter)
folval['o' + o] = o #insert constant
if len(folval[params[1]]) == 1: #clean up if necessary
if ('', ) in folval[params[1]]:
folval[params[1]].clear()
folval[params[1]].add((o, )) #insert dog
folval["be_in"].add((o, folval[params[2]])) #insert location
g = nltk.Assignment(folval.domain)
m = nltk.Model(folval.domain, folval)
sent = 'some ' + params[1] + ' is_in ' + params[2]
results = nltk.evaluate_sents([sent], grammar_file, m, g)[0][0]
if results[2] == True:
ans = "Yes. You can buy your " + params[
1] + " from " + params[2]
return ans
else:
ans = "No."
return ans
elif cmd == 9: #Did i buy my x from y
g = nltk.Assignment(folval.domain)
m = nltk.Model(folval.domain, folval)
sent = 'some ' + params[1] + ' is_in ' + params[2]
results = nltk.evaluate_sents([sent], grammar_file, m, g)[0][0]
if results[2] == True:
ans = "Yes. You said you bought the " + params[
1] + " from " + params[2]
return ans
else:
ans = "No."
return ans
elif cmd == 10: #Did i buy x from y
g = nltk.Assignment(folval.domain)
m = nltk.Model(folval.domain, folval)
sent = 'some ' + params[1] + ' are_in ' + params[2]
results = nltk.evaluate_sents([sent], grammar_file, m, g)[0][0]
if results[2] == True:
ans = "Yes. You bought your " + params[
1] + " from " + params[2]
return ans
else:
ans = "No."
return ans
elif cmd == 12: # my x is named y
o = 'o' + str(objCounter)
if len(folval[params[1]]) == 1: #clean up if necessary
if ('', ) in folval[params[1]]:
folval[params[1]].clear()
#insert name of breed
folval[params[1]].add((o, ))
if len(folval["is_named"]) == 1: #clean up if necessary
if ('', ) in folval["is_named"]:
folval["is_named"].clear()
folval["is_named"].add((o, folval[params[2]])) # name dog
ans = params[2] + " seems like a nice dog."
return ans
######################################################
# Final submission implementation #
######################################################
elif cmd == 19:
# if they ask for which is the best food make the calc and send the response
ans = dog_food_calc()
return ans
elif cmd == 99:
# for everything else, send it to be predicted by the transformer network
userInput = userInput.lower()
return transformer_net_predict(userInput)
else:
return answer
