mirror of
https://github.com/morpheus65535/bazarr.git
synced 2024-11-11 01:23:38 +08:00
137 lines
4.3 KiB
Python
137 lines
4.3 KiB
Python
import os
|
|
from os import path
|
|
import sys
|
|
|
|
try:
|
|
import simplejson as json
|
|
except ImportError:
|
|
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()
|