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from modules.m_parser import Parser, Tense
from difflib import ndiff
from typing import List, Tuple, Dict
class ActiveVoice(Parser):
def __init__(
self
) -> None:
Parser.__init__(self)
def __check_errors(
self,
sentence: str,
debug: bool = False
) -> Dict:
sentence = sentence.strip()
if sentence == "":
raise RuntimeError(
f"Error: The sentence can not be empty!"
)
subj_data, subj_str = self.get_a_subj(sentence)
if debug: print(subj_data)
if subj_str == "":
raise RuntimeError(
f"Error: The subject of the sentence was not found or the sentence is not in the correct format!"
)
verb_data, verb_str = self.get_a_verb(sentence)
if debug: print(verb_data)
if verb_str == "":
raise RuntimeError(
f"Error: The verbs of the sentence were not found or the sentence is not in the correct format!"
)
dobj_data, dobj_str = self.get_a_dobj(sentence)
if debug: print(dobj_data)
if dobj_str == "":
raise RuntimeError(
f"Error: The direct object of the sentence was not found or the sentence is not in the correct format!"
)
compl_str = self.get_a_compl(subj_str, verb_str, dobj_str, sentence)
if debug: print(compl_str)
return {
'subj': [subj_data, subj_str],
'verb': [verb_data, verb_str],
'dobj': [dobj_data, dobj_str],
'compl': compl_str,
}
def __create_p_subj(
self,
a_dobj: str
) -> str:
return a_dobj
def __create_p_verb(
self,
a_verb_data: List[Tuple[str,str,str,int]],
a_dobj_data: List[Tuple[str,str,str]],
debug: bool = False
) -> Tuple[str, str]:
# know verbal tense
verbal_tense = self.get_verbal_tense(a_verb_data)
if debug: print(verbal_tense)
if verbal_tense is None:
raise RuntimeError(
f"Error: The sentence is not in the correct format or the verbal tense has not been implemented yet!"
)
# Know if sentence is in afirmative or negative
_, neg_data, main_data = a_verb_data
neg = " not" if len(neg_data) > 0 else ""
# know if noun is plural or singular
gramatical_number = self.get_gramatical_number(a_dobj_data)
if debug: print(gramatical_number)
# Form to be verb
tobe = Tense[verbal_tense].value['tobe'][gramatical_number]
tobe = tobe.format(neg)
if debug: print(tobe)
# Know participle
participle = self.verb2participle(main_data[0][0].text)
if debug: print(participle)
return tobe, participle
def __create_p_agent(
self,
a_subj_data: List[Tuple[str,str,str]],
debug: bool = False
) -> str:
agent = []
for tk,_,tag in a_subj_data:
word = tk.text
if tag == 'PRP':
word = self.subj2obj(word)
agent.append(word)
return ' '.join(agent).strip()
def get_a_subj(
self,
sentence: str,
) -> Tuple[ List[Tuple[str,str,str]], str]:
out_data = []
for tk in self.parser(sentence):
if "subj" in tk.dep_:
out_data = [(t,t.dep_,t.tag_) for t in tk.subtree]
break
out_str = ' '.join([t.text for t,_,_ in out_data])
return out_data, out_str
def get_a_verb(
self,
sentence: str,
) -> Tuple[ List[List[Tuple[str,str,str,int]]], str]:
main_data = []
aux_data = []
neg_data = []
out_data = []
for tk in self.parser(sentence):
if "ROOT" in tk.dep_:
main_data = [ (tk,tk.dep_,tk.tag_,tk.i)]
aux_data = [(t,t.dep_,t.tag_,t.i) for t in tk.children if t.dep_ == "aux"]
neg_data = [(t,t.dep_,t.tag_,t.i) for t in tk.children if t.dep_ == "neg"]
out_data = [aux_data, neg_data, main_data]
break
out_str = sorted([tup for list_ in out_data for tup in list_], key=lambda x: x[3])
out_str = ' '.join([t.text for t,_,_,_ in out_str])
return out_data, out_str
def get_a_dobj(
self,
sentence: str,
) -> Tuple[ List[Tuple[str,str,str]], str]:
out_data = []
for tk in self.parser(sentence):
if "dobj" in tk.dep_:
out_data = [(t,t.dep_,t.tag_)for t in tk.subtree]
break
out_str = ' '.join([t.text for t,_,_ in out_data])
return out_data, out_str
def get_a_compl(
self,
subj: str,
verb: str,
dobj: str,
full_sentence: str,
) -> str:
concat_sentence = subj + ' ' + verb + ' ' + dobj
diff = ""
for tk in ndiff(concat_sentence.split(), full_sentence.split()):
mark, word = tk[0], tk[2:]
if mark == '+':
diff += word + " "
return diff.strip()
def to_pasive(
self,
sentence: str,
debug: bool=False
) -> Dict[str, str]:
outputs = self.__check_errors(sentence, debug)
subj_data, subj_str = outputs['subj']
verb_data, verb_str = outputs['verb']
dobj_data, dobj_str = outputs['dobj']
p_compl = outputs['compl']
# Create passive subject
p_subj = self.__create_p_subj(
dobj_str
)
# Create passive verb
p_tobe, p_participle = self.__create_p_verb(
verb_data, dobj_data, debug
)
# Create passive agent
p_agent = self.__create_p_agent(
subj_data, debug
)
return {
'subj': p_subj.capitalize(),
'tobe':p_tobe,
'participle': p_participle,
'agent': 'by '+ p_agent[0].lower() + p_agent[1:].strip(),
'compl': p_compl
} |