1 from __future__
import print_function
3 from robocup_knowledge
import knowledge_loader
4 common = knowledge_loader.load_knowledge(
"common")
6 not_understood_sentences = [
7 "I'm so sorry! Can you please speak louder and slower? And wait for the ping!",
8 "I am deeply sorry. Please try again, but wait for the ping!",
9 "You and I have communication issues. Speak up!",
10 "All this noise is messing with my audio. Try again"
22 T[{actions : <A>}] -> C[A] | amigo C[A]
34 V_GUIDE -> guide | escort | take | lead | accompany
36 DET -> the | a | an | some
37 NUMBER -> one | two | three
38 MANIPULATION_AREA_DESCRIPTION -> on top of | at | in | on | from
42 grammar +=
'\nLOCATION[%s] -> %s' % (loc, loc)
44 for obj
in common.object_names:
45 grammar +=
'\nNAMED_OBJECT[%s] -> %s' % (obj, obj)
48 grammar +=
'\nMANIPULATION_AREA_LOCATION[%s] -> MANIPULATION_AREA_DESCRIPTION the %s' % (loc, loc)
50 for cat
in common.object_categories:
51 grammar +=
'\nOBJECT_CATEGORY[%s] -> %s' % (cat, cat)
53 for name
in common.names:
54 grammar +=
'\nNAMED_PERSON[%s] -> %s' % (name, name)
63 V_PRESENT -> introduce yourself | present yourself | perform a demonstration | give a presentation
64 ENGLISH['en'] -> english
66 LANGUAGE[X] -> ENGLISH[X] | DUTCH[X]
67 VP["action": "demo-presentation", 'language': 'en'] -> V_PRESENT
68 VP["action": "demo-presentation", "language": X] -> V_PRESENT in LANGUAGE[X]
79 V_GOPL -> go to | navigate to
80 V_GOR -> V_GOPL | enter
82 VP["action": "navigate-to", "object": {"id": X}] -> V_GOPL the LOCATION[X]
93 VP["action": "inspect", "entity": {"id": X}] -> inspect the LOCATION[X]
103 V_PICKUP -> get | grasp | take | pick up | grab
105 VP["action": "pick-up", "object": {"type": X}, "location": {"id": Y}] -> V_PICKUP DET NAMED_OBJECT[X] MANIPULATION_AREA_LOCATION[Y]
115 V_PLACE -> put | place
117 VP["action": "place", "object": {"type": X}, "location": {"id": Y}] -> V_PLACE DET NAMED_OBJECT[X] MANIPULATION_AREA_LOCATION[Y]
127 V_FOLLOW -> follow | come after
129 VP["action": "follow", "target": {"id": "operator"}] -> V_FOLLOW me
139 OPERATOR[operator] -> me
140 BRING_NAME -> OPERATOR | BRING_PERSON
142 BRING_TARGET[{"id": X, "type": person}] -> BRING_NAME[X]
143 BRING_TARGET[{"id": X}] -> the LOCATION[X]
145 OBJECT_TO_BE_BROUGHT -> NAMED_OBJECT | DET NAMED_OBJECT
147 V_BRING -> bring | deliver | take | carry | transport | give | hand | hand over
149 VP["action": "bring", "source-location": {"id": X}, "target-location": Y, "object": {"type": Z}] -> V_BRING OBJECT_TO_BE_BROUGHT[Z] from the LOCATION[X] to BRING_TARGET[Y]
150 VP["action": "bring", "target-location": {"type": "person", "id": Y}, "object": {"type": Z}] -> V_BRING BRING_NAME[Y] OBJECT_TO_BE_BROUGHT[Z]
151 VP["action": "bring", "source-location": {"id": X}, "target-location": {"type": "person", "id": Y}, "object": {"type": Z}] -> V_BRING BRING_NAME[Y] OBJECT_TO_BE_BROUGHT[Z] from the LOCATION[X]
154 for name
in common.names:
155 grammar +=
'\nBRING_PERSON[%s] -> %s' % (name, name)
164 V_SAY -> tell | say | speak
166 VP["action": "say", "sentence": X] -> V_SAY SAY_SENTENCE[X]
169 grammar +=
'\nSAY_SENTENCE["ROBOT_NAME"] -> your name'
170 grammar +=
'\nSAY_SENTENCE["TIME"] -> the time | what time it is | what time is it'
171 grammar +=
'\nSAY_SENTENCE["my team is tech united"] -> the name of your team'
172 grammar +=
'\nSAY_SENTENCE["DAY_OF_MONTH"] -> the day of the month'
173 grammar +=
'\nSAY_SENTENCE["DAY_OF_WEEK"] -> the day of the week'
174 grammar +=
'\nSAY_SENTENCE["TODAY"] -> what day is today | me what day it is | the date'
175 grammar +=
'\nSAY_SENTENCE["TOMORROW"] -> what day is tomorrow'
176 grammar +=
'\nSAY_SENTENCE["JOKE"] -> a joke'
186 VP["action": "answer-question"] -> answer a question
190 if __name__ ==
"__main__":
191 print(
"GPSR Grammar:\n\n{}\n\n".format(grammar))
193 from grammar_parser.cfgparser
import CFGParser
196 if sys.argv[1] ==
"object":
197 grammar_parser = CFGParser.fromstring(obj_grammar)
198 elif sys.argv[1] ==
"location":
199 grammar_parser = CFGParser.fromstring(loc_grammar)
200 elif sys.argv[1] ==
"full":
201 grammar_parser = CFGParser.fromstring(grammar)
203 if len(sys.argv) > 2:
204 sentence =
" ".join(sys.argv[2:])
206 sentence = grammar_parser.get_random_sentence(
"T")
208 print(
"Parsing sentence:\n\n{}\n\n".format(sentence))
210 result = grammar_parser.parse(
"T", sentence)
212 print(
"Result:\n\n{}".format(result))