import sys
import requests
#import langid
import numpy as np
import pandas as pd

#LANGUAGES = ['ar', 'de', 'en', 'es', 'fr', 'it', 'ja-JP', 'ko-KR', 'pt-BR', 'ru', 'th', 'tr-TR', 'zh-cn', 'zh-HK', 'zh-TW']
LANGUAGES = ['en', 'es', 'ru', 'zh-cn']

#ID = ['699126', '699124', '669751', '647306', '697256', '647306']
papa=pd.read_csv('/Users/anderson/work/blurbs.txt',sep='\t') #加载papa.txt,指定它的分隔符是 \t
ID = papa['ID']



url = "https://uat-ec-cn.eflabs.cn/services/school/query?q=blurb!{}&c=culturecode={}"

list_obj = []

class Translate():

    def get_translated_string(self, blurb_id, language_code):
        response = requests.post(url.format(blurb_id, language_code))
        value = (response.json())[0]['translation'].strip()
        print(blurb_id, value)
        list_obj.append([blurb_id,value])
        #return value


    # def check_language(self, target, language):
    #     lineTuple = langid.classify(target)  # 调用langid来对该行进行语言检测
    #     if "-" in language:
    #         language = language.split("-")[0]
    #     if lineTuple[0] != language:
    #         return False
    #     else:
    #         return True






def main():
    translate = Translate()

    for i in range(727699,727766):
        translate.get_translated_string(i,'zh-cn')

    result=pd.DataFrame(list_obj)
    result.to_csv("blurbs2.csv")