def _get_captcha(self, url=URL.jwxt_captcha()):
r = self.get(url)
im = Image.open(BytesIO(r.content))
if url == URL.aolan_captcha():
return str(AolanCaptcha(im))
if url == URL.jwxt_captcha():
return str(ZhengfangCaptcha(im))
def login(self, account, password):
"""
登录奥兰系统 jwxt.njupt.edu.cn
:param account: 南邮学号、考生号、身份证号
:param password: 密码
:return: {'r': 1, "msg": "登录失败"} 或 {'r': 0, 'msg': '登录成功'}
"""
captcha_code = AolanCaptcha(self._url2image(
URL.aolan_captcha())).crack()
data = {
"__VIEWSTATE": self._get_viewstate(URL.aolan_login()),
'__VIEWSTATEGENERATOR': captcha_code,
'userbh': account,
'pas2s': hashlib.md5(password.upper().encode('utf8')).hexdigest(),
"vcode": (URL.aolan_captcha()),
"cw": "",
"xzbz": "1",
}
return self._login_execute(url=URL.aolan_login(), data=data)
手动获取奥兰系统验证码的训练集
"""
import hashlib
import os
import time
from io import BytesIO
import requests
from PIL import Image
from njupt.settings import BASE_DIR
from njupt.urls import URL
from njupt.utils.aolan.aolan_captcha import letters
for i in range(100):
r = requests.get(URL.aolan_captcha())
im = Image.open(BytesIO(r.content))
# 灰度处理
imgry = im.convert('L')
# 二值处理
threshold = 220
table = []
for i in range(256):
if i < threshold:
table.append(0)
else:
table.append(1)
out = imgry.point(table, '1')
out.show()
numbers = input("输入数值")
:param data_type: 提交的数据格式(可能是表单类型,也可能是json格式的字符串)
:param kwargs: requests支持的参数，比如可以设置代理参数
:return: BeautifulSoup对象
"""
# r = getattr(self, method)(url, json=json, data=data, params=params, **kwargs)
# if r.ok:
# soup = BeautifulSoup(r.text, 'lxml')
# return soup
# else:
# raise ConnectionError("检查网络连接")
try: # 出现网络连接问题,直接在该处抛出错误
r = getattr(self, method)(url,
json=json,
data=data,
params=params,
**kwargs)
except ConnectionError:
raise ConnectionError("请检查网络连接")
else:
if r.ok: # 状态码小于400为True
soup = BeautifulSoup(r.text, 'lxml')
return soup
else: # 处理其他状态码
raise Exception('请确保能够正常访问当前页面: {}'.format(url))
if __name__ == "__main__":
test_model = Model()
test_model._get_captcha(URL.aolan_captcha())
