Conversion_Kitchen_Code/kitchen_counter/conversion/translation/translation_resources_actionline.py

from pprint import pprint
from swagger_client.rest import ApiException
import swagger_client
import time
import boto3
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
from ibm_watson import LanguageTranslatorV3
from google.cloud import translate_v2 as Translate
from google.cloud import translate
import os
import requests
import uuid
import json
from MNF.settings import BasePath
basePath = BasePath()
#basePath = '/home/user/mnf/project/MNF'

# import logging
# from logger import get_module_logger
# log = get_module_logger(__name__)


# google
#os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = rf"{basePath}/conversion/My First Project-2573112d5326.json"
#os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = rf"{basePath}/conversion/gifted-mountain-318504-4f001d5f08db.json"
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = rf"{basePath}/MNF/json_keys/authentication.json"
translate_client = Translate.Client()
client = translate.TranslationServiceClient()
project_id = 'authentic-bongo-272808'
location = "global"
parent = f"projects/{project_id}/locations/{location}"

# ibm
authenticator = IAMAuthenticator(
    'K7Qkaj3YtTSeBq1Z-LlH6MwDZIIKadvjHPHU28JynoIq')
language_translator = LanguageTranslatorV3(
    version='2018-05-01',
    authenticator=authenticator)
language_translator.set_service_url(
    'https://api.eu-gb.language-translator.watson.cloud.ibm.com/instances/f3ec0635-1e7d-4461-8c09-e13db386a564')

# aws
translate_aws = boto3.client(service_name='translate', region_name='us-east-2', use_ssl=True)

# azure
subscription_key = "83ce6233419541929f7ab0d3035fca58"
endpoint = "https://api.cognitive.microsofttranslator.com"
location = "eastus"
path = '/translate'
constructed_url = endpoint + path
headers = {
    'Ocp-Apim-Subscription-Key': subscription_key,
    'Ocp-Apim-Subscription-Region': location,
    'Content-type': 'application/json',
    'X-ClientTraceId': str(uuid.uuid4())
}
constructed_url1 = "https://api.cognitive.microsofttranslator.com/transliterate?api-version=3.0"

# lingvanex
configuration = swagger_client.Configuration()
configuration.api_key['Authorization'] = 'a_eRp1RPOP8hg3id8HYlYrlRCSwxxHR4c506NXiHtMcxIcM5GHdHfnhJn3Ea2kkSO87GTiC8qEts4ImUmN'
api_instance = swagger_client.TranslateApi(
    swagger_client.ApiClient(configuration))

# yandex
url = "https://translate.yandex.net/api/v1.5/tr.json/translate"

#log.info('Logger started working')


def ibm_watson(text, source_lang, target_lang):
    model_id = source_lang+"-"+target_lang
    translation = language_translator.translate(
        text=text, model_id=model_id).get_result()
    # log.debug('Asad')
    return translation['translations'][0]['translation']


def google(text, source_lang, target_lang):
    result = translate_client.translate(
        text, source_language=source_lang, target_language=target_lang)
    # log.debug('Lokesh')
    # print(result)
    return result['translatedText']


def aws(text, source_lang, target_lang):
    result = translate_aws.translate_text(
        Text=text, SourceLanguageCode=source_lang, TargetLanguageCode=target_lang)
    return result.get('TranslatedText')


def azure(text, target_lang):
    params = {'api-version': '3.0', 'to': target_lang}
    body = [{'text': text}]
    request = requests.post(
        constructed_url, params=params, headers=headers, json=body)
    response = request.json()
    # print(response)
    translated_text = response[0]['translations'][0]['text']
    return translated_text


def lingvanex(text, source_lang, target_lang):
    source_lang = source_lang+"_"+source_lang.upper()
    target_lang = target_lang+"_"+target_lang.upper()
    di = {
        #"from": source_lang,
        "from": '',
        "to": target_lang,
        "data": text,
        "platform": "api"
    }
    api_response = api_instance.translate_post(request=di)
    translated_text = api_response.to_dict()['result']
    return translated_text


def yandex(text, source_lang, target_lang):
    model_id = source_lang+"-"+target_lang
    data = {"key": "trnsl.1.1.20210129T100550Z.952c8e23466372bc.951c193191010d638334db2f2f095040b6e92843",
            "text": text,
            "lang": model_id
            }
    response = requests.post(url=url, data=data)
    translated_text = json.loads(response.text)['text'][0]
    return translated_text


def checker(text, src_lang, tar_lang):

    try:
        print("ibm", ibm_watson(text, src_lang, tar_lang))
    except:
        pass

    try:
        print("google", google(text, src_lang, tar_lang))
    except:
        pass

    try:
        print("aws", aws(text, src_lang, tar_lang))
    except:
        pass

    try:
        print("azure", azure(text, tar_lang))
    except:
        pass

    try:
        print("lingvanex", lingvanex(text, src_lang, tar_lang))
    except:
        pass

    try:
        print("yandex", yandex(text, src_lang, tar_lang))
    except:
        pass

# log.info('Finished')


text = "Amazing to see everything alright."
#checker(text, 'en', 'el')
# checker(text,'or','pa')
# checker(text,'or','zh')
# checker(text,'or','fr')
# checker(text,'or','ne')
# checker(text,'or','es')
# checker(text,'or','id')

# print(google(text,'en','or'))
#print(aws(text, 'or', 'en'))