示例#1
0
def interpret_command(sentence_string):

	print "lol"

	G = kb_services.load_semantic_network()
	grounded_commands = interpretation.sentence_grounder(G, sentence_string)
	print "loll"
	print "grounded command: ", grounded_commands
	for each_command in grounded_commands:
		expression = interpretation.generate_dependency(G, each_command)
		print "generated expression to planner: ", expression
	print "lolll"
#	sentences  = interpretation.break_sentence(sentence_string)
#	print "hi: ", sentences
#	for command in sentences[0:1]:
#		grounded_commands = interpretation.sentence_grounder(G, command)
#		print "grounded command: ", grounded_commands
#		
#		for each_command in grounded_commands:
#			expression = interpretation.generate_dependency(G, each_command)
#			print "output expression: ", expression
#			if commands != [False]:
#				interpreted_sentences
#				interpreted_sentences += 1
#				commands[0] = re.sub(' \)', ')', commands[0])
#				commands[0] = re.sub('_', ' ', commands[0])
				
	return expression
示例#2
0
def interpret_command(sentence_string):

    print "lol"

    G = kb_services.load_semantic_network()
    grounded_commands = interpretation.sentence_grounder(G, sentence_string)
    print "loll"
    print "grounded command: ", grounded_commands
    for each_command in grounded_commands:
        expression = interpretation.generate_dependency(G, each_command)
        print "generated expression to planner: ", expression
    print "lolll"
    #	sentences  = interpretation.break_sentence(sentence_string)
    #	print "hi: ", sentences
    #	for command in sentences[0:1]:
    #		grounded_commands = interpretation.sentence_grounder(G, command)
    #		print "grounded command: ", grounded_commands
    #
    #		for each_command in grounded_commands:
    #			expression = interpretation.generate_dependency(G, each_command)
    #			print "output expression: ", expression
    #			if commands != [False]:
    #				interpreted_sentences
    #				interpreted_sentences += 1
    #				commands[0] = re.sub(' \)', ')', commands[0])
    #				commands[0] = re.sub('_', ' ', commands[0])

    return expression
示例#3
0
file.close()

print "lines: ", lines

#lines = ["Drop the jar", "Put the can on the counter", "Find the glass in the living room", "Search for the glass in the kitchen", "Go to the dining room", "Move along the wall", "Take the cereal box", "Grab the mayo on the table", "remove the sheets from the bed"]

inicio = 0
fin = len(lines)

for iterator in range(inicio,fin):
	print "*********************************************"
	command = lines[iterator]
	command = re.sub('\n', '', command)
	print ""
	print "- OUT: ORIGINAL SENTENCE: ", command
	analized_sentences = interpretation.sentence_grounder(G, command)
	commands = []
	for each_caracterized_sentence in analized_sentences:
		#print ""
		#print "- LOG: GROUNDED SENTENCE: ", each_caracterized_sentence["objects"]
		commands.append(interpretation.generate_dependency(G, each_caracterized_sentence))
		if commands != [False]:
			interpreted_sentences
			interpreted_sentences += 1
			commands[0] = re.sub(' \)', ')', commands[0])
			commands[0] = re.sub('_', ' ', commands[0])
			#print "- LOG: Enunciado generado: ", commands[0]
			file_report.write(command + ' | ' + commands[0] + '\n')
file_report.close()
示例#4
0
import re
# drawing
import networkx.drawing
import matplotlib.pyplot as plt


bateria_ejemplos = [
"place green pyramid on top of red brick"
]



G = kb_services.load_semantic_network()

for each_example in bateria_ejemplos:
	analized_sentences = interpretation.sentence_grounder(G, each_example)	

	commands = []
	for each_caracterized_sentence in analized_sentences:

		print "sentence ready to be matched::       ------------------------------------"
		print "generatiing meaning expressions from ", each_caracterized_sentence["objects"]
		commands.append(interpretation.generate_dependency(G, each_caracterized_sentence))

#	print "commands to planner..."	
#	for each in commands:
#		print "sent to planner: ", each
#		print "planner response:"
#		planner_bridge.launch_planner(each)
示例#5
0
file.close()

print "lines: ", lines

#lines = ["Drop the jar", "Put the can on the counter", "Find the glass in the living room", "Search for the glass in the kitchen", "Go to the dining room", "Move along the wall", "Take the cereal box", "Grab the mayo on the table", "remove the sheets from the bed"]

inicio = 0
fin = len(lines)

for iterator in range(inicio, fin):
    print "*********************************************"
    command = lines[iterator]
    command = re.sub('\n', '', command)
    print ""
    print "- OUT: ORIGINAL SENTENCE: ", command
    analized_sentences = interpretation.sentence_grounder(G, command)
    commands = []
    for each_caracterized_sentence in analized_sentences:
        #print ""
        #print "- LOG: GROUNDED SENTENCE: ", each_caracterized_sentence["objects"]
        commands.append(
            interpretation.generate_dependency(G, each_caracterized_sentence))
        if commands != [False]:
            interpreted_sentences
            interpreted_sentences += 1
            commands[0] = re.sub(' \)', ')', commands[0])
            commands[0] = re.sub('_', ' ', commands[0])
            #print "- LOG: Enunciado generado: ", commands[0]
            file_report.write(command + ' | ' + commands[0] + '\n')
file_report.close()