def __init__(self, df, output_path, output_name, batch):
# storing variables
self.df = df
self.filename = Path(output_path) / output_name
self.raw_file = '{}_raw.csv'.format(self.filename)
self.batch = batch
# initialize tools
self.translator = Translator()
self.__initialize_senti()
# collect jobs
job_list = self.__collect_jobs()
self.total_job = len(job_list)
# initialize queues
self.jobs = Queue(maxsize=self.total_job)
for job in job_list:
self.jobs.put(job)
self.results = Queue(maxsize=self.total_job)
# setup threading variables
self.stop = threading.Event()
self.worker_ct_lock = threading.Lock()
self.worker_ct = 0 # num_of_spawned worker
def translate(text, src, dst):
if not text or src == dst:
return text
translator = Translator()
translator = Translator(service_urls=['translate.google.com'])
try:
# save hidden links
links = reLink.findall(text)
# replace emojis
str_demoji = emoji.demojize(text, delimiters=emoji_delimiters)
# translate
tran = translator.translate(str_demoji, src=src, dest=dst).text
# fix emojis
for match in reEmoji.findall(tran):
tran = tran.replace(match[0],
emoji.emojize(f":{match[1].lower()}:"))
# fix hidden links
offset = 0
for i, match in enumerate(reLink.finditer(tran)):
b, e = match.regs[0]
insert = f"[{match[1]}]({links[i][1]})"
tran = f"{tran[:b + offset]}{insert}{tran[e + offset:]}"
offset += len(insert) - e + b
return tran
except HTTPException:
return translate(text, src, dst)
except:
pass
return text
def create_translate(nazwa_katalogu, nazwa_pliku):
vtt = webvtt.read(f'{nazwa_katalogu}\{nazwa_pliku}')
translator = Translator()
list_sentence = []
for element_in_vtt in vtt:
list_sentence.append(element_in_vtt.text)
translated_lines = []
for line in list_sentence:
new_line = line
split_lines = line.split('.')
for s_line in split_lines:
if len(s_line) < 1:
continue
trans = translator.translate(s_line, src='en', dest='pl')
print(f'{trans.origin} -> {trans.text}')
new_line = new_line.replace(s_line.strip(),
trans.text.replace('.', ''))
translated_lines.append(new_line)
for index, minute in enumerate(vtt):
minute.text = translated_lines[index]
vtt[index].text = minute.text
print(vtt)
nazwa_pliku = nazwa_pliku.split("(", maxsplit=1)[0]
vtt.save(f'{nazwa_katalogu}\{nazwa_pliku}(pl)')
def do_single_translate(cn_text):
"""
Do single text translate from CN to TW
:param cn_text: Text in CN
:return: Text in TW
"""
translator = Translator()
result = translator.translate(cn_text, src='zh-cn', dest='zh-tw')
text = result.text
return text
def do_translate(cn_texts):
"""
Do translate from CN to TW
:param cn_texts: Texts in CN
:return: Texts in TW
"""
translator = Translator()
result = translator.translate(cn_texts, src='zh-cn', dest='zh-tw')
tw_texts = [r.text for r in result]
return tw_texts
async def translate(context):
""" PagerMaid universal translator. """
translator = Translator()
reply = await context.get_reply_message()
message = context.arguments
ap_lang = config['application_language']
if message:
pass
elif reply:
message = reply.text
else:
await context.edit(lang('arg_error'))
return
try:
if not silent:
await context.edit(lang('translate_processing'))
try:
result = translator.translate(clear_emojis(message), dest=ap_lang)
except:
from translate import Translator as trans
result = trans(to_lang=ap_lang.replace('zh-cn', 'zh')).translate(
clear_emojis(message))
except ValueError:
await context.edit(lang('translate_ValueError'))
return
try:
source_lang = result.src
source_text = result.origin
trans_lang = result.dest
except AttributeError:
await context.edit(lang('google_connection_error'))
return
result = f"**{lang('translate_hits')}**\n{lang('translate_original_lang')}: {source_lang}\n{source_text} -> {result.text}"
if len(result) > 4096:
await context.edit(lang('translate_tg_limit_uploading_file'))
await attach_log(result, context.chat_id, "translation.txt",
context.id)
return
await context.edit(result)
if len(result) <= 4096:
await log(
f"{lang('translate_get')}: `{source_text}` \n{lang('translate_from')} {source_lang} {lang('translate_to')} {trans_lang}"
)
else:
await log(
f"{lang('translate_get')}{translate('translate_from')} {source_lang} {lang('translate_to')} {trans_lang}."
)
def transl_it(text, src, dest):
try:
# create a new object
translator = Translator()
# text is what you want to transalte, src the source language,
# id est the language of the sentence, dest is the destination language
a = translator.translate(text, src=src, dest=dest)
# this is a manipulation to extract basic info from the output
translated = (LANGUAGES[a.src], LANGUAGES[a.dest], a.text)
return translated
except Exception as ee:
#print(ee)
# this is the handling of the error, that bad input text can lead
confidence = translator.detect(text)
translated = (False, False,
"error: " + str(ee) + "\n" + str(confidence))
return translated
def translate(word, language):
translator = Translator()
languages = translator.glanguage()
keys = list(languages['sl'].keys())
values = list(languages['sl'].values())
location = -1
for i in range(len(keys)):
if language.lower() == keys[i].lower() or language.lower(
) == values[i].lower():
location = i
if location == -1:
return ('Language entered is not supported')
else:
translation = str(translator.translate(word, dest=keys[location]))
translation = translation[translation.find("text") +
5:translation.find(', p')]
return (f'{word} in {values[location]} => {translation}')
def start_translation():
translator = Translator()
languages_code_list = []
log.info(f"Start of translation service")
for language in language_list:
languages_code_list.append(language["value"])
default_language_string_list = list(resources[DEFAULT_LANGUAGE].values())
for language in languages_code_list:
if language != DEFAULT_LANGUAGE:
start_time = time.time()
translations = translator.translate(default_language_string_list,
src=DEFAULT_LANGUAGE,
dest=language)
add_translations_to_resource_dict(translations, language)
log.info(
f"The {language} translation has taken {time.time()-start_time} seconds"
)
log.info(f"End of loading for resources for: {language}")
def test_japanese_punctuation():
from pygoogletranslation import Translator
t = Translator()
assert t.translate("おはよう。げんきですか。").text == "Good morning. How are you." #<--- this is how google translate web translates it. Sadly, with the english-point replacement method, the result is different from this, as can be seen in the test.
assert t.translate("今日、明日").text == "Today, tomorrow"
# assert t.translate("「こんにちは」").text == "\"Hello\""
#-*-coding:utf-8 -*-
# import requests
# import execjs
# import json
from pygoogletranslation import Translator
# 实例化翻译器，由于模块默认的服务url在国内无法使用，所以我们修改成国内可用的google翻译服务地址
translator = Translator(service_url='translate.google.cn')
def googleTrans(text):
try:
# get url
# responce
result = translator.translate(text, dest='zh-CN')
# r = requests.get(url)
# 返回json格式的数据
# data = json.loads(r.text)
print(result.text)
return result.text
except Exception as e:
print("出错了")
print(e)
#使用谷歌翻译
#py的JS类
'''
class Py4Js():
def __init__(self):
self.ctx = execjs.compile("""
function TL(a) {
from django.conf import settings
import Levenshtein as lev
import sys
import openpyxl
from rest_framework.parsers import MultiPartParser
from django.db import IntegrityError
from django.core.files import File as _File
sys.path.append(os.path.join(settings.BASE_DIR, 'preprocessing_python'))
from preprocessor import *
import requests
import ast
import concurrent.futures
import urllib.request
from pygoogletranslation import Translator
translator = Translator()
from django.db import transaction
import ebooklib
from ebooklib import epub
from bs4 import BeautifulSoup
BertSimilarityModel = ClinicalBertSimilarity(device='cpu', batch_size=10)
class TranslationMemoryViewSet(viewsets.ModelViewSet):
queryset = TranslationMemory.objects.all().order_by('id')
serializer_class = TranslationMemorySerializer
def get_queryset(self):
def translator(self):
if not self._translator:
self._translator = Translator(sleep=1)
return self._translator
from pygoogletranslation import Translator
t = Translator()
print(t.translate("これはテストです", dest="en").text)
class Maestro:
def __init__(self, df, output_path, output_name, batch):
# storing variables
self.df = df
self.filename = Path(output_path) / output_name
self.raw_file = '{}_raw.csv'.format(self.filename)
self.batch = batch
# initialize tools
self.translator = Translator()
self.__initialize_senti()
# collect jobs
job_list = self.__collect_jobs()
self.total_job = len(job_list)
# initialize queues
self.jobs = Queue(maxsize=self.total_job)
for job in job_list:
self.jobs.put(job)
self.results = Queue(maxsize=self.total_job)
# setup threading variables
self.stop = threading.Event()
self.worker_ct_lock = threading.Lock()
self.worker_ct = 0 # num_of_spawned worker
def __initialize_senti(self):
self.senti = PySentiStr()
self.senti.setSentiStrengthPath(
str(Path.cwd() / 'lib' / 'SentiStrengthCom.jar'))
self.senti.setSentiStrengthLanguageFolderPath(str(Path.cwd() / 'lang'))
# simple test to make sure senti works
test = self.senti.getSentiment(['You are beautiful'], 'dual')
assert type(test) is list
assert type(test[0]) is tuple
def __collect_jobs(self):
try:
out_df = pd.read_csv(self.raw_file, header=None)
processed_ser = self.df['tweetid'].isin(out_df[1])
except FileNotFoundError:
zeros = np.zeros((len(self.df.index), ), dtype=bool)
processed_ser = pd.Series(zeros)
job_list = processed_ser[~processed_ser].index
job_list = list(grouper(job_list, self.batch))
if len(job_list) > 0:
job_list[-1] = tuple(job for job in job_list[-1]
if job is not None)
return job_list
def __despawn_worker(self):
with self.worker_ct_lock:
self.worker_ct = self.worker_ct - 1
def __translate(self, thread_num):
with self.worker_ct_lock:
self.worker_ct = self.worker_ct + 1
while not self.stop.is_set() and not self.jobs.empty():
job = self.jobs.get()
try:
mini_df = self.df.loc[job, ] # trailing comma is needed
ids = mini_df.iloc[:, 0]
items = mini_df.iloc[:, -1].to_numpy().tolist()
except Exception as e:
print('Worker #{} got pandas error: {}'.format(thread_num, e))
break
try:
if len(items) == 1:
translations = [self.translator.translate(items)]
else:
translations = self.translator.translate(items)
except Exception as e:
print('Worker #{} got translation error: {}'.format(
thread_num, e))
break
self.results.put((job, ids, translations))
self.__despawn_worker()
def __save(self, results):
with open(self.raw_file, 'a', encoding='utf-8',
newline='') as csv_file:
writer = csv.writer(csv_file,
delimiter=',',
quotechar='"',
quoting=csv.QUOTE_MINIMAL)
writer.writerows(results)
def __process(self, score='dual'):
total_batch = int(np.ceil(len(self.df.index) / self.batch))
pbar = tqdm(total=total_batch, initial=(total_batch - self.total_job))
while not self.stop.is_set() or not self.results.empty():
time.sleep(2)
if not self.results.empty():
# merges all results
job_list, id_list, translation_list = ([], [], [])
steps = 0
while not self.results.empty():
job, ids, translations = self.results.get()
job_list.extend(job)
id_list.extend(ids)
translation_list.extend(translations)
steps = steps + 1
# analyze sentiments
texts = [tr.text for tr in translation_list]
try:
sentis = self.senti.getSentiment(texts, score)
except Exception as e:
print('Process got sentistrength error:', e)
break
try:
rows = [
(order, i, *senti, tr.src, text)
for order, i, senti, tr, text in zip(
job_list, id_list, sentis, translation_list, texts)
]
except Exception as e:
print(e)
break
try:
self.__save(rows)
except Exception as e:
print('Process got on save error:', e)
break
pbar.update(steps)
time.sleep(.1) # prevent too much loop checking
if not self.stop.is_set():
self.stop.set() # force stop all threads
print('Rebuilding...')
self.__rebuild()
print('Exiting...')
pbar.close()
def __rebuild(self):
try:
sf = pd.read_csv(self.raw_file,
header=None,
names=[
'order', 'tweetid', '+', '-', 'src_lang',
'translation'
])
sf.sort_values('order', inplace=True)
sf.to_csv('{}.csv'.format(self.filename), index=None)
except FileNotFoundError:
pass
except Exception as e:
print(ERR_STR.format('rebuild', 'on rebuilding csv'), e)
def play(self, n_thread=1):
if n_thread < 1:
return
with ThreadPoolExecutor(max_workers=n_thread + 1) as executor:
try:
executor.map(self.__translate, range(n_thread))
print('Spawing {} workers...'.format(n_thread))
while self.worker_ct is 0:
pass # waiting for any worker being spawned
print('Aye, Sir!')
executor.submit(self.__process)
# as long as there are atleast a worker
while self.worker_ct > 0:
# wait for any keyboard interrupt
time.sleep(.5) # power napping for half second
# either no job left or all worker has been despawned
self.stop.set()
if self.jobs.empty():
print('All done!')
if self.worker_ct is 0:
print('All workers quit their job!')
except KeyboardInterrupt:
print('\nKeyboard interrupt')
except Exception as e:
print(ERR_STR.format('play', 'something went wrong'), e)
finally:
self.stop.set()
print('Byee 👋')
from pygoogletranslation import Translator
import json
import sys
import time
import datetime
import time
from elasticsearch import Elasticsearch
# Command line argumments
# elastic_username = sys.argv[1:][0]
# elastic_password = sys.argv[2:][0]
# elastic_index = sys.argv[3:][0]
file = open("languages.txt", 'w')
translator = Translator()
# All language codes that both amazon and google support
countryCodes = [
"af", "sq", "am", "ar", "hy", "az", "bn", "bs", "bg", "ca", "hr", "cs",
"da", "nl", "en", "et", "fa", "tl", "fi", "fr", "ka", "de", "el", "gu",
"ht", "ha", "he", "hi", "hu", "is", "id", "it", "ja", "kn", "kk", "ko",
"lv", "lt", "mk", "ms", "ml", "mt", "mn", "no", "fa", "ps", "pl", "pt",
"ro", "ru", "sr", "si", "sk", "sl", "so", "es", "sw", "sv", "tl", "ta",
"te", "th", "tr", "uk", "ur", "uz", "vi", "cy"
]
result_dict = dict()
for code in countryCodes:
result_dict[code] = {}
from pygoogletranslation import Translator
import json
import sys
import time
import datetime
import time
from elasticsearch import Elasticsearch
# Command line argumments
elastic_username = sys.argv[1:][0]
elastic_password = sys.argv[2:][0]
elastic_index = sys.argv[3:][0]
translator = Translator()
# All language codes that both amazon and google support
countryCodes = [
"af", "sq", "am", "ar", "hy", "az", "bn", "bs", "bg", "ca", "hr", "cs",
"da", "nl", "en", "et", "fa", "tl", "fi", "fr", "ka", "de", "el", "gu",
"ht", "ha", "he", "hi", "hu", "is", "id", "it", "ja", "kn", "kk", "ko",
"lv", "lt", "mk", "ms", "ml", "mt", "mn", "no", "fa", "ps", "pl", "pt",
"ro", "ru", "sr", "si", "sk", "sl", "so", "es", "sw", "sv", "tl", "ta",
"te", "th", "tr", "uk", "ur", "uz", "vi", "cy"
]
for code in countryCodes:
result_dict = dict()
result_dict['language'] = code
