Function bolting

image_recognition_zhihu.py:93–152

筛选把握大的进行验证

(k_low,k_hi,k3_confidence)

    return result

def bolting(k_low,k_hi,k3_confidence):
    ''' 筛选把握大的进行验证 '''

    start = time.time()
    
    is_success = False
    while(is_success is not True):
    
        points_len = 1
        angle = -20
        img_ko = []

        while(points_len != 21  or  angle < k_low  or angle > k_hi ):  
            img_data = get_captcha(sessiona,headers)
            img_ko = recognition_captcha(img_data)
     
            ## json.dumps 序列化时对中文默认使用的ascii编码.想输出真正的中文需要指定ensure_ascii=False
            # img_ko_json = json.dumps(img_ko , indent =2 ,ensure_ascii=False ) 
            # img_ko_json = img_ko_json.encode('raw_unicode_escape') ## 因为python3的原因，也因为优图自身的原因，此处要特殊处理
        
            # with open( "json.txt" ,'wb') as fb:
            #     fb.write( img_ko_json )  
    
            try:
                points_len = len(img_ko['items'][0]['itemstring'])
                angle = img_ko['angle']
            except Exception:
                points_len = 1
                angle = -20
                continue

        # print(img_ko_json.decode('utf8')) ## stdout用的是utf8，需转码才能正常显示
        # print('-'*50)
        
        input_text = create_point( img_ko ,k3_confidence )
        if(type(input_text) == type([])):
            continue
        
        data = {
            "input_text":input_text   
            }

        # 提交过快会被拒绝，{"code":120005,"name":"ERR_VERIFY_CAPTCHA_TOO_QUICK"} ，假装思考5秒钟
        time.sleep( 4 + random.randint(1,9)/10 )
        try:    
            resp5 = sessiona.post('https://www.zhihu.com/api/v3/oauth/captcha?lang=cn',data,headers=headers)
        except Exception:
            continue
        
        print("angle: "+ str(angle) )
        print(BeautifulSoup(resp5.content ,'html.parser')) # 如果验证成功，会回应{"success":true}，开心
        print('-'*50)
        try:
            is_success = json.loads(resp5.text)["success"]
        except KeyError:
            continue

    end = time.time()