sdk/dingdingSdk/alibabacloud_dingtalk/credit_1_0/models.py

286 lines
10 KiB
Python
Raw Normal View History

2025-08-19 10:20:23 +00:00
# -*- coding: utf-8 -*-
# This file is auto-generated, don't edit it. Thanks.
from Tea.model import TeaModel
from typing import Dict
class QueryScoreHeaders(TeaModel):
def __init__(
self,
common_headers: Dict[str, str] = None,
x_acs_dingtalk_access_token: str = None,
):
self.common_headers = common_headers
self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.common_headers is not None:
result['commonHeaders'] = self.common_headers
if self.x_acs_dingtalk_access_token is not None:
result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('commonHeaders') is not None:
self.common_headers = m.get('commonHeaders')
if m.get('x-acs-dingtalk-access-token') is not None:
self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token')
return self
class QueryScoreRequest(TeaModel):
def __init__(
self,
encryption: str = None,
full_name: str = None,
id_card_code: str = None,
mobile: str = None,
org_name: str = None,
uni_sc_code: str = None,
):
# This parameter is required.
self.encryption = encryption
self.full_name = full_name
self.id_card_code = id_card_code
# This parameter is required.
self.mobile = mobile
self.org_name = org_name
self.uni_sc_code = uni_sc_code
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.encryption is not None:
result['encryption'] = self.encryption
if self.full_name is not None:
result['fullName'] = self.full_name
if self.id_card_code is not None:
result['idCardCode'] = self.id_card_code
if self.mobile is not None:
result['mobile'] = self.mobile
if self.org_name is not None:
result['orgName'] = self.org_name
if self.uni_sc_code is not None:
result['uniScCode'] = self.uni_sc_code
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('encryption') is not None:
self.encryption = m.get('encryption')
if m.get('fullName') is not None:
self.full_name = m.get('fullName')
if m.get('idCardCode') is not None:
self.id_card_code = m.get('idCardCode')
if m.get('mobile') is not None:
self.mobile = m.get('mobile')
if m.get('orgName') is not None:
self.org_name = m.get('orgName')
if m.get('uniScCode') is not None:
self.uni_sc_code = m.get('uniScCode')
return self
class QueryScoreResponseBodyResult(TeaModel):
def __init__(
self,
ccoc_score: float = None,
city_change_cnt_3y: int = None,
city_change_trend_2y: float = None,
classification_of_org: str = None,
growth_rate_login_days_180d: float = None,
ind_change_cnt_3y: int = None,
ind_change_trend_2y: float = None,
job_change_cnt_3y: int = None,
job_title: str = None,
join_days: int = None,
login_days_14d_pct: float = None,
login_days_365d_pct: float = None,
org_cnt: int = None,
org_industry_sub_name_new: str = None,
org_industry_up_name_new: str = None,
):
self.ccoc_score = ccoc_score
self.city_change_cnt_3y = city_change_cnt_3y
self.city_change_trend_2y = city_change_trend_2y
self.classification_of_org = classification_of_org
self.growth_rate_login_days_180d = growth_rate_login_days_180d
self.ind_change_cnt_3y = ind_change_cnt_3y
self.ind_change_trend_2y = ind_change_trend_2y
self.job_change_cnt_3y = job_change_cnt_3y
self.job_title = job_title
self.join_days = join_days
self.login_days_14d_pct = login_days_14d_pct
self.login_days_365d_pct = login_days_365d_pct
self.org_cnt = org_cnt
self.org_industry_sub_name_new = org_industry_sub_name_new
self.org_industry_up_name_new = org_industry_up_name_new
def validate(self):
pass
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.ccoc_score is not None:
result['ccocScore'] = self.ccoc_score
if self.city_change_cnt_3y is not None:
result['cityChangeCnt3y'] = self.city_change_cnt_3y
if self.city_change_trend_2y is not None:
result['cityChangeTrend2y'] = self.city_change_trend_2y
if self.classification_of_org is not None:
result['classificationOfOrg'] = self.classification_of_org
if self.growth_rate_login_days_180d is not None:
result['growthRateLoginDays180d'] = self.growth_rate_login_days_180d
if self.ind_change_cnt_3y is not None:
result['indChangeCnt3y'] = self.ind_change_cnt_3y
if self.ind_change_trend_2y is not None:
result['indChangeTrend2y'] = self.ind_change_trend_2y
if self.job_change_cnt_3y is not None:
result['jobChangeCnt3y'] = self.job_change_cnt_3y
if self.job_title is not None:
result['jobTitle'] = self.job_title
if self.join_days is not None:
result['joinDays'] = self.join_days
if self.login_days_14d_pct is not None:
result['loginDays14dPct'] = self.login_days_14d_pct
if self.login_days_365d_pct is not None:
result['loginDays365dPct'] = self.login_days_365d_pct
if self.org_cnt is not None:
result['orgCnt'] = self.org_cnt
if self.org_industry_sub_name_new is not None:
result['orgIndustrySubNameNew'] = self.org_industry_sub_name_new
if self.org_industry_up_name_new is not None:
result['orgIndustryUpNameNew'] = self.org_industry_up_name_new
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('ccocScore') is not None:
self.ccoc_score = m.get('ccocScore')
if m.get('cityChangeCnt3y') is not None:
self.city_change_cnt_3y = m.get('cityChangeCnt3y')
if m.get('cityChangeTrend2y') is not None:
self.city_change_trend_2y = m.get('cityChangeTrend2y')
if m.get('classificationOfOrg') is not None:
self.classification_of_org = m.get('classificationOfOrg')
if m.get('growthRateLoginDays180d') is not None:
self.growth_rate_login_days_180d = m.get('growthRateLoginDays180d')
if m.get('indChangeCnt3y') is not None:
self.ind_change_cnt_3y = m.get('indChangeCnt3y')
if m.get('indChangeTrend2y') is not None:
self.ind_change_trend_2y = m.get('indChangeTrend2y')
if m.get('jobChangeCnt3y') is not None:
self.job_change_cnt_3y = m.get('jobChangeCnt3y')
if m.get('jobTitle') is not None:
self.job_title = m.get('jobTitle')
if m.get('joinDays') is not None:
self.join_days = m.get('joinDays')
if m.get('loginDays14dPct') is not None:
self.login_days_14d_pct = m.get('loginDays14dPct')
if m.get('loginDays365dPct') is not None:
self.login_days_365d_pct = m.get('loginDays365dPct')
if m.get('orgCnt') is not None:
self.org_cnt = m.get('orgCnt')
if m.get('orgIndustrySubNameNew') is not None:
self.org_industry_sub_name_new = m.get('orgIndustrySubNameNew')
if m.get('orgIndustryUpNameNew') is not None:
self.org_industry_up_name_new = m.get('orgIndustryUpNameNew')
return self
class QueryScoreResponseBody(TeaModel):
def __init__(
self,
result: QueryScoreResponseBodyResult = None,
success: bool = None,
):
self.result = result
self.success = success
def validate(self):
if self.result:
self.result.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.result is not None:
result['result'] = self.result.to_map()
if self.success is not None:
result['success'] = self.success
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('result') is not None:
temp_model = QueryScoreResponseBodyResult()
self.result = temp_model.from_map(m['result'])
if m.get('success') is not None:
self.success = m.get('success')
return self
class QueryScoreResponse(TeaModel):
def __init__(
self,
headers: Dict[str, str] = None,
status_code: int = None,
body: QueryScoreResponseBody = None,
):
self.headers = headers
self.status_code = status_code
self.body = body
def validate(self):
if self.body:
self.body.validate()
def to_map(self):
_map = super().to_map()
if _map is not None:
return _map
result = dict()
if self.headers is not None:
result['headers'] = self.headers
if self.status_code is not None:
result['statusCode'] = self.status_code
if self.body is not None:
result['body'] = self.body.to_map()
return result
def from_map(self, m: dict = None):
m = m or dict()
if m.get('headers') is not None:
self.headers = m.get('headers')
if m.get('statusCode') is not None:
self.status_code = m.get('statusCode')
if m.get('body') is not None:
temp_model = QueryScoreResponseBody()
self.body = temp_model.from_map(m['body'])
return self