def __init__(self):
self.lists = list_functions()
self.tokens = SemTokenizer()
self.graph = Atoms()
self.nxG = nx.Graph()
class Semantics:
def __init__(self):
self.lists = list_functions()
self.tokens = SemTokenizer()
self.graph = Atoms()
self.nxG = nx.Graph()
def semanticRules(self):
for k, v in semantic_rules.items():
if 'regex' in v:
for x in v['regex']:
yield k, x
def semanticsToAtoms(self, sentence):
item_counter = 0
turing = sentence.words
if not sentence:
return
for word in sentence.words:
next_index = item_counter + 1
if len(turing) > next_index:
next_word = turing[next_index]
item_counter += 1
else:
continue
self.graph.add_node(word, ignore_dupes=True)
self.graph.add_node(next_word, ignore_dupes=True)
self.graph.add_edge(word, next_word)
try:
right_index = item_counter + sentence.spans[item_counter]
tag = sentence.tags[item_counter]
current = Tag(sentence.words[item_counter], sentence.words[right_index], tag)
sentence.tag_set.append(current)
except:
current = Tag(sentence.words[item_counter], None, tag)
sentence.tag_set.append(current)
continue
if len(sentence.tags) > right_index:
right_word = sentence.words[right_index]
else:
continue
self.nxG.add_edge(tag, word)
self.nxG.add_edge(tag, next_word)
self.graph.add_node(tag, ignore_dupes=True)
self.graph.add_edge(tag, word)
self.graph.add_edge(tag, next_word)
return self.graph
def handleSemantics(self, sentence):
if not sentence:
return
self.ndpda = NDPDA_FSM('INIT', sentence[0])
self.semanticsToGraph(sentence)
self.tokens.fsm_setup()
for k, x in self.semanticRules():
match_rules = {}
set_rules = {}
if x[:2] == '= ':
current_rule = semantic_rules[k]
for m in current_rule['match']:
tokenizer_out = self.tokens.fsm_tokenizer(m)
match_rules[k] = tokenizer_out
for n in current_rule['set']:
tokenizer_out = self.tokens.fsm_tokenizer(n)
set_rules[k] = tokenizer_out
#match_dict = self.tokens.tokenize(m[0])
#set_dict = self.tokens.tokenize(current_rule['set'])
self.ndpda.add_transition(x[2:], match_rules, k, set_rules)
processed = self.ndpda.process_list(sentence[3])
return processed
