def personalize_text_for_narrator( explo, msg ):
mygram = grammar.base_grammar( None, None, explo )
for p in explo.camp.active_plots():
pgram = p.get_dialogue_grammar( None, explo )
if pgram:
grammar.absorb( mygram, pgram )
return grammar.convert_tokens( msg, mygram )
def personalize_text( in_text, speaker_voice, gramdb ):
"""Return text personalized for the provided context."""
# Split the text into individual words.
all_words = split_words_and_punctuation( grammar.convert_tokens( in_text, gramdb ) )
out_text = []
# Going through the words, check for conversions in the conversion table.
for w in all_words:
out_text.append( w )
for t in range( 5, 0, -1 ):
if len( out_text ) >= t:
mykey = " ".join( out_text[-t:] )
if mykey in personalizer.PT_DATABASE:
choices = []
for c in personalizer.PT_DATABASE[ mykey ]:
if c.fits_voice( speaker_voice ):
choices.append( c.subtext )
if choices and random.randint( 0, len( choices ) + 1 ) != 0:
myswap = random.choice( choices )
del out_text[-t:]
words_to_add = split_words_and_punctuation( myswap )
out_text += words_to_add
out_text = preprocess_out_text( out_text )
return " ".join( out_text )
def personalize_text_for_narrator( explo, msg ):
mygram = grammar.base_grammar( None, None, explo )
for p in explo.camp.active_plots():
pgram = p.get_dialogue_grammar( None, explo )
if pgram:
grammar.absorb( mygram, pgram )
return grammar.convert_tokens( msg, mygram )
def personalize_text( in_text, speaker_voice, gramdb ):
"""Return text personalized for the provided context."""
# Split the text into individual words.
all_words = split_words_and_punctuation( grammar.convert_tokens( in_text, gramdb ) )
out_text = []
# Going through the words, check for conversions in the conversion table.
for w in all_words:
out_text.append( w )
for t in range( 5, 0, -1 ):
if len( out_text ) >= t:
mykey = " ".join( out_text[-t:] )
if mykey in personalizer.PT_DATABASE:
choices = []
for c in personalizer.PT_DATABASE[ mykey ]:
if c.fits_voice( speaker_voice ):
choices.append( c.subtext )
if choices and random.randint( 0, len( choices ) + 1 ) != 0:
myswap = random.choice( choices )
del out_text[-t:]
words_to_add = split_words_and_punctuation( myswap )
out_text += words_to_add
out_text = preprocess_out_text( out_text )
return " ".join( out_text )
def format_text( self, text, mygrammar, offer ):
text = grammar.convert_tokens( text, mygrammar )
if offer:
text = text.format(**offer.data)
return text
def format_text(self, text, mygrammar, offer):
text = grammar.convert_tokens(text, mygrammar)
if offer:
text = text.format(**offer.data)
return text