# encoding:utf-8
import requests
import base64
from PIL import Image
import pytesseract
# 這里需要安裝一下 Tesseract-OCR
# 鏈接：https://pan.baidu.com/s/1D2eODet7x9xshBVi6ZUZ_Q 
# 提取碼：qfef
# 安裝好之后別忘了把Tesseract-OCR路徑添加到環(huán)境變量中
import json
import requests
import keyboard #監(jiān)聽(tīng)按鍵庫(kù)
from PIL import ImageGrab #圖像處理庫(kù)
import time
from aip import AipOcr #pip install baidu_aip
# print("開(kāi)始截圖")
# 1. 截取圖片
keyboard.wait(hotkey='ctrl+alt+a')
# print("鍵盤(pán)按下了'ctrl+alt+a'")
keyboard.wait('enter')
# print("鍵盤(pán)按下了'enter'")
# 模擬延遲，來(lái)解決grabclipboard函數(shù)的緩存問(wèn)題（grabclipboard函數(shù)操作太快，它就會(huì)讀取上一次的內(nèi)容）
time.sleep(0.1)
# 2. 保存圖片到電腦上
image = ImageGrab.grabclipboard()
image.save('screen.png')
#*************************************************************************************
request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/accurate_basic"
# 二進(jìn)制方式打開(kāi)圖片文件
f = open('screen.png', 'rb')
img = base64.b64encode(f.read())
params = {"image":img}
access_token = "你自己的access_token,百度AI里面有教程，我把網(wǎng)址放下面了"
# https://ai.baidu.com/ai-doc/OCR/vk3h7y58v
request_url = request_url + "?access_token=" + access_token
headers = {'content-type': 'application/x-www-form-urlencoded'}
response = requests.post(request_url, data=params, headers=headers)
print("文字識(shí)別：")
if response:
  locList = response.json()['words_result']
  for i in locList:
    print(i['words'])
print("\n翻譯：")
if response:
  locList = response.json()['words_result']
  for i in locList:
    text = i['words']
##================================================================================##
    # 翻譯函數(shù)，word 需要翻譯的內(nèi)容
    def translate(word):
      # 有道詞典 api
      url = 'http://fanyi.youdao.com/translate?smartresult=dict&smartresult=rule&smartresult=ugc&sessionFrom=null'
      # 傳輸?shù)膮?shù)，其中 i 為需要翻譯的內(nèi)容
      key = {
        'type': "AUTO",
        'i': word,
        "doctype": "json",
        "version": "2.1",
        "keyfrom": "fanyi.web",
        "ue": "UTF-8",
        "action": "FY_BY_CLICKBUTTON",
        "typoResult": "true"
      }
      # key 這個(gè)字典為發(fā)送給有道詞典服務(wù)器的內(nèi)容
      response = requests.post(url, data=key)
      # 判斷服務(wù)器是否相應(yīng)成功
      if response.status_code == 200:
        # 然后相應(yīng)的結(jié)果
        return response.text
      else:
        print("有道詞典調(diào)用失敗")
        # 失敗就返回空
        return None
    def get_reuslt(repsonse):
      # 通過(guò) json.loads 把返回的結(jié)果加載成 json 格式
      result = json.loads(repsonse)
      print("%s" % result['translateResult'][0][0]['tgt'])
    def main():
      list_trans = translate(text)
      get_reuslt(list_trans)
    if __name__ == '__main__':
      main()