''' 识别验证码 '''

file_id = str(uuid.uuid1())

filename = 'captcha_'+ file_id +'.gif'

filename_png = 'captcha_'+ file_id +'.png'

if(data is None):

return

data = base64.b64decode(data.encode('utf-8'))

with open( filename ,'wb') as fb:

fb.write( data )

appid = 'appid' # 接入优图服务，注册账号获取

secret_id = 'secret_id'

secret_key = 'secret_key'

userid= 'userid'

end_point = TencentYoutuyun.conf.API_YOUTU_END_POINT

youtu = TencentYoutuyun.YouTu(appid, secret_id, secret_key, userid, end_point) # 初始化

# 拿到的是gif格式，而优图只支持 JPG PNG BMP 其中之一，这时我们需要 pip install Pillow 来转换格式

im = Image.open( filename)

im.save( filename_png ,"png")

im.close()

result = youtu.generalocr( filename_png , data_type = 0 , seq = '') # 0代表本地路径，1代表url

''' 获取验证码 '''

need_cap = False

while( need_cap is not True):

try:

sessiona.get('https://www.zhihu.com/signin',headers=headers) # 拿cookie:_xsrf

resp2 = sessiona.get('https://www.zhihu.com/api/v3/oauth/captcha?lang=cn',headers=headers) # 拿cookie:capsion_ticket

need_cap = json.loads(resp2.text)["show_captcha"] # {"show_captcha":false} 表示不用验证码

time.sleep( 0.5 + random.randint(1,9)/10 )

except Exception:

continue

try:

resp3 = sessiona.put('https://www.zhihu.com/api/v3/oauth/captcha?lang=cn',headers=headers) # 拿到验证码数据，注意是put

img_data = json.loads(resp3.text)["img_base64"]

except Exception:

return

''' 获得点阵 '''

# 实际操作下，套路不深，x间隔25，y相同，共7个点 ，先模拟意思一下

points = {1:[ 20.5,25.1875],2:[ 45.5,25.1875],3:[ 70.5,25.1875],4:[ 95.5,25.1875],5:[120.5,25.1875],6:[145.5,25.1875],7:[170.5,25.1875]}

wi = 0

input_points = []

for word in ( point_data['items'][0]['words'] ):

wi = wi+1

if( word['confidence'] < confidence ):

try:

input_points.append(points[wi]) # 倒置的中文，优图识别不出来，置信度会低于0.5

except KeyError:

continue

if( len(input_points) > 2 or len(input_points) == 0 ):

return [] # 7个字中只有2个倒置中文的成功率高

result = {}

result['img_size']=[200,44]

result['input_points']=input_points

result = json.dumps(result)

print(result)

''' 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()