StableTTS_en-demo / text /langdetect /detector_factory.py
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import os
from os import path
import sys
import json
from .detector import Detector
from .lang_detect_exception import ErrorCode, LangDetectException
from .utils.lang_profile import LangProfile
class DetectorFactory(object):
'''
Language Detector Factory Class.
This class manages an initialization and constructions of Detector.
Before using language detection library,
load profiles with DetectorFactory.load_profile(str)
and set initialization parameters.
When the language detection,
construct Detector instance via DetectorFactory.create().
See also Detector's sample code.
'''
seed = None
def __init__(self):
self.word_lang_prob_map = {}
self.langlist = []
def load_profile(self, profile_directory):
list_files = os.listdir(profile_directory)
if not list_files:
raise LangDetectException(ErrorCode.NeedLoadProfileError, 'Not found profile: ' + profile_directory)
langsize, index = len(list_files), 0
for filename in list_files:
if filename.startswith('.'):
continue
filename = path.join(profile_directory, filename)
if not path.isfile(filename):
continue
f = None
try:
if sys.version_info[0] < 3:
f = open(filename, 'r')
else:
f = open(filename, 'r', encoding='utf-8')
json_data = json.load(f)
profile = LangProfile(**json_data)
self.add_profile(profile, index, langsize)
index += 1
except IOError:
raise LangDetectException(ErrorCode.FileLoadError, 'Cannot open "%s"' % filename)
except:
raise LangDetectException(ErrorCode.FormatError, 'Profile format error in "%s"' % filename)
finally:
if f:
f.close()
def load_json_profile(self, json_profiles):
langsize, index = len(json_profiles), 0
if langsize < 2:
raise LangDetectException(ErrorCode.NeedLoadProfileError, 'Need more than 2 profiles.')
for json_profile in json_profiles:
try:
json_data = json.loads(json_profile)
profile = LangProfile(**json_data)
self.add_profile(profile, index, langsize)
index += 1
except:
raise LangDetectException(ErrorCode.FormatError, 'Profile format error.')
def add_profile(self, profile, index, langsize):
lang = profile.name
if lang in self.langlist:
raise LangDetectException(ErrorCode.DuplicateLangError, 'Duplicate the same language profile.')
self.langlist.append(lang)
for word in profile.freq:
if word not in self.word_lang_prob_map:
self.word_lang_prob_map[word] = [0.0] * langsize
length = len(word)
if 1 <= length <= 3:
prob = 1.0 * profile.freq.get(word) / profile.n_words[length - 1]
self.word_lang_prob_map[word][index] = prob
def clear(self):
self.langlist = []
self.word_lang_prob_map = {}
def create(self, alpha=None):
'''Construct Detector instance with smoothing parameter.'''
detector = self._create_detector()
if alpha is not None:
detector.set_alpha(alpha)
return detector
def _create_detector(self):
if not self.langlist:
raise LangDetectException(ErrorCode.NeedLoadProfileError, 'Need to load profiles.')
return Detector(self)
def set_seed(self, seed):
self.seed = seed
def get_lang_list(self):
return list(self.langlist)
PROFILES_DIRECTORY = path.join(path.dirname(__file__), 'profiles')
_factory = None
def init_factory():
global _factory
if _factory is None:
_factory = DetectorFactory()
_factory.load_profile(PROFILES_DIRECTORY)
def detect(text):
init_factory()
detector = _factory.create()
detector.append(text)
return detector.detect()
def detect_langs(text):
init_factory()
detector = _factory.create()
detector.append(text)
return detector.get_probabilities()