vcc商户预警特征新接口

vcc特征迁移特征

J_feature/v7模型_延伸特征.ipynb

@@ -836,7 +836,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.0"
+   "version": "3.6.6"
   }
  },
  "nbformat": 4,

config/concat_sql.py

@@ -85,3 +85,25 @@ con_business_flow =create_engine('mysql+pymysql://real_data_test:qpRBSarm$Tv*YO!
                                ,echo=False)
 
 con_new_xyqb = create_engine('mysql+pymysql://real_data_test:qpRBSarm$Tv*YO!n@172.30.220.16:33306/xyqb?charset=utf8',echo=False)
+"""vcc商户"""
+con_vcc_talos = create_engine('mysql+pymysql://bigdata_test:ieneue7ldondk03d@172.30.5.27:8066/vcc_talos?charset=utf8',echo=False)
+"""vcc线上库talos"""
+# con_vcc_talos = create_engine('mysql+pymysql://rc_slave_user_r:fiQFWvFIQV5vn1Ai@vcc-db.quantgroups.com:3306/vcc_talos?charset=utf8',echo=False)
+
+con_vcc_quota = create_engine('mysql+pymysql://bigdata_test:ieneue7ldondk03d@172.30.5.27:8066/vcc_quota?charset=utf8',echo=False)
+"""vcc线上库quota"""
+# con_vcc_quota = create_engine('mysql+pymysql://rc_feature_user:G5QcBud5eR7foGIU@172.18.4.12:3306/vcc_quota?charset=utf8',echo=False)
+
+con_vcc_transfer = create_engine('mysql+pymysql://real_data_test:qpRBSarm$Tv*YO!n@172.30.220.16:33315/vcc_feature?charset=utf8',echo=False)
+
+con_vcc_transfer_pay = create_engine('mysql+pymysql://real_data_test:qpRBSarm$Tv*YO!n@172.30.220.16:33316/payment_center?charset=utf8',echo=False)
+
+# vcc_talos信息：
+# url:  vcc-db.quantgroups.com:3306
+# user： rc_slave_user_r
+# password: fiQFWvFIQV5vn1Ai
+#
+# vcc_quota信息：
+# url: 172.18.4.12:3306
+# user: rc_feature_user
+# password: G5QcBud5eR7foGIU
\ No newline at end of file

config/settings.py

@@ -14,5 +14,6 @@ url_complex_order = '/features/complex_order' # 多订单
 # url_collection = '/calc/loanPostFeatures' # 催收模型
 url_loanPostFeatures = '/calc/loanPostFeatures' # 催收模型
 url_test = '/calc/test' # 测试
+url_calc_features4store = '/calc/features4store' #vcc用户商城
 
 

features/Base_Features.py

@@ -177,6 +177,15 @@ class BaseFeatures():
     def set_channel_no(self,_channel_no):
         self.channel_no = _channel_no
 
+    def set_store_id(self,_store_id):
+        self.store_id = _store_id
+
+    def set_snapshot_time(self,_snapshot_time):
+        self.snapshot_time = _snapshot_time
+
+    def set_trade_no(self,_trade_no):
+        self.trade_no = _trade_no
+
     def set_mapping(self,mapping):
         self.mapping = mapping
 

features/calc_features/Credit_process.py

@@ -58,21 +58,6 @@ class 用户申请订单在审核中的数量():
 
 
 
-# class 在途申请单数量():
-#这个是老的特征 下面的特征进行了更改
-#     """apply_in_verify_num_v2   在途申请单数量（提交申请->完成放款）"""
-#     def feature(self):
-#         _在途申请单数量 = -9999999
-#         get_requisition_quantity_xyqb = requisition_quantity_xyqb(self.user_id,self._apply_at)
-#         get_requisition_quantity_business_flow = requisition_quantity_business_flow(self.uuid,self._apply_at)
-#         if get_requisition_quantity_xyqb.empty == False:
-#             get_quantity_count = get_requisition_quantity_xyqb['count_xyqb'].values[0]
-#         if get_requisition_quantity_business_flow.empty == False:
-#             get_business_flow_count = get_requisition_quantity_business_flow['count_business'].values[0]
-#         _在途申请单数量 = get_quantity_count + get_business_flow_count
-#         self._result['在途申请单数量']['value'] = _在途申请单数量
-#         return self._result
-
 
 
 class 在途申请单数量():

features/calc_features/contactsToQG_V7_model.py

@@ -7,8 +7,6 @@ import json
 import time
 
 class __INIT__(BF):
-
-
     def __init__(self):
         time_now = datetime.datetime.strptime(datetime.datetime.strftime(datetime.datetime.now(),'%Y-%m-%d %H:%M:%S'),'%Y-%m-%d %H:%M:%S')
         BF._created_at = time_now

features/calc_features/gratia_payment.py

+# -*- coding:utf-8 -*-
+
+from features.Base_Features import BaseFeatures as BF
+from service.addresss_book_sql import *
+import datetime
+from service.Sql_vcc import *
+import json
+import time
+from pandas import DataFrame
+import numpy as np
+
+import datetime
+from datetime import timedelta
+
+
+
+class __INIT__(BF):
+    def __init__(self):
+        time_now = datetime.datetime.strptime(datetime.datetime.strftime(datetime.datetime.now(),'%Y-%m-%d %H:%M:%S'),'%Y-%m-%d %H:%M:%S')
+        BF._apply_at = time_now
+
+        if self.orderId:
+            _df = getSql_Apply_quota_record(self.user_id,self.orderId)
+            if _df.empty == False:
+                BF._apply_at = datetime.datetime.strptime(_df['apply_time'].astype(str).values[0],'%Y-%m-%d %H:%M:%S')
+
+
+
+
+
+
+
+class 惠金所9当日放款额():
+    """"""
+    def feature(self):
+        _惠金所9当日放款额 = 0
+        get_gratia_payment_amount = gratia_payment_amount()
+        if get_gratia_payment_amount['amount'].values[0] != None:
+            # get_amount_of_merchant["now_time"] = self._apply_at
+            # id_resufe_from['apply_time'] = id_resufe_from['apply_time'].dt.date
+            # get_amount_merchant_result =
+            _惠金所9当日放款额 = get_gratia_payment_amount['amount'].values[0]
+        self._result['惠金所9当日放款额']['value'] = _惠金所9当日放款额
+        return self._result
+
+
+# class 商户当日累计交易金额():
+#     """last_apply_time#lastApplyRefusedRecords    同一身份证用户上次申请拒绝距今天数"""
+#     def feature(self):
+#         _商户当日累计交易金额 = -9999999
+#         get_amount_of_merchant = amount_of_merchant(self.store_id,self.today,self.tomorrow)
+#         if get_amount_of_merchant.empty == False:
+#             # get_amount_of_merchant["now_time"] = self._apply_at
+#             # id_resufe_from['apply_time'] = id_resufe_from['apply_time'].dt.date
+#             get_amount_merchant_result =get_amount_of_merchant['amount'].sum()
+#             _商户当日累计交易金额 = get_amount_merchant_result
+#         self._result['商户当日累计交易金额']['value'] = _商户当日累计交易金额
+#         return self._result
\ No newline at end of file

features/calc_features/id_infoisValid.py

+# -*- coding:utf-8 -*-
+
+from features.Base_Features import BaseFeatures as BF
+from service.addresss_book_sql import *
+import datetime
+from service.Sql_vcc import *
+import json
+import time
+from pandas import DataFrame
+import numpy as np
+
+import datetime
+from datetime import timedelta
+
+
+
+class __INIT__(BF):
+    def __init__(self):
+        time_now = datetime.datetime.strptime(datetime.datetime.strftime(datetime.datetime.now(),'%Y-%m-%d %H:%M:%S'),'%Y-%m-%d %H:%M:%S')
+        BF._apply_at = time_now
+        if self.orderId:
+            _df = getSql_Apply_quota_record(self.user_id,self.orderId)
+            if _df.empty == False:
+                BF._apply_at = datetime.datetime.strptime(_df['apply_time'].astype(str).values[0],'%Y-%m-%d %H:%M:%S')
+
+
+
+
+class 用户身份证是否过期():
+    """user_ocr_info#isValid   身份证是否过期  需求待修改"""
+    def feature(self):
+        _用户身份证是否过期 = -9999999
+        id_time= int(str(self._apply_at).split()[0].replace("-", ""))
+        card_expires_time = card_expires(self.uuid, self.orderId)
+        if isinstance(card_expires_time,int):
+            if id_time >= card_expires_time:
+                _用户身份证是否过期 = 0
+            elif id_time < card_expires_time:
+                _用户身份证是否过期 = 1
+        self._result['用户身份证是否过期']['value'] = _用户身份证是否过期
+        return self._result
+
+
+# class 用户手机号前三位():
+#     def feature(self):
+#         _用户手机号前三位 = -9999999
+#         id_time= int(str(self._apply_at).split()[0].replace("-", ""))
+#         card_expires_time = card_expires(self.uuid, self.orderId)
+#
+#         self._result['用户手机号前三位']['value'] = _用户手机号前三位
+#         return self._result

features/calc_features/same_trade.py

@@ -18,7 +18,7 @@ class __INIT__(BF):
 
 
 class 在贷_同业():
-    """在贷_同业"""
+    """same_trade_channel_uncompleted_loan_nums   在贷_同业"""
     def feature(self):
         _在贷_同业 = -9999999  #tongye_in_loan(apply_time,bussiness_type,_apply_from,userid)
         if self.business_type != 0:
@@ -31,7 +31,7 @@ class 在贷_同业():
 
 
 class 填写中申请单数量_同业():
-    """填写中申请单数量_同业"""
+    """user_fill_same_trade_channel_order_nums  填写中申请单数量_同业"""
     def feature(self):
         _填写中申请单数量_同业 = -9999999
         if self.business_type != 0:
@@ -41,9 +41,8 @@ class 填写中申请单数量_同业():
         self._result['填写中申请单数量_同业']['value'] = _填写中申请单数量_同业
         return self._result
 
-
 class 在途申请单数量_同业():
-    """"""
+    """same_trade_channel_apply_in_verify_nums 在途申请单数量_同业 """
     def feature(self):
         _在途申请单数量_同业 = -9999999
         if self.business_type != 0:

features/calc_features/vcc_transfer.py

+# -*- coding:utf-8 -*-
+from features.Base_Features import BaseFeatures as BF
+from service.Sql_contactsOperator import *
+from service.Sql_vcc import *
+import datetime
+import json
+import time
+
+class __INIT__(BF):
+    def __init__(self):
+        time_now = datetime.datetime.strptime(datetime.datetime.strftime(datetime.datetime.now(),'%Y-%m-%d %H:%M:%S'),'%Y-%m-%d %H:%M:%S')
+        BF.user_phone = str(getSql_userPhone(self.uuid)['phone_no'].values[0])[0:7]
+        BF.user_all_phone = str(getSql_userPhone(self.uuid)['phone_no'].values[0])
+        BF._apply_at = time_now
+
+
+
+class VCC手机运营商():
+    """"""
+    def feature(self):
+        _VCC手机运营商 = -9999999
+        get_vcc_phone_user = vcc_phone_user(self.user_phone)
+        if get_vcc_phone_user.empty == False:
+            get_vcc_phone_value =get_vcc_phone_user['isp'].values[0]
+            if get_vcc_phone_value =='移动':
+                _VCC手机运营商 = 1
+            elif get_vcc_phone_value =='联通':
+                _VCC手机运营商 = 2
+            elif get_vcc_phone_value =='电信':
+                _VCC手机运营商 = 3
+            else:
+                _VCC手机运营商 = -9999999
+        self._result['VCC手机运营商']['value'] = _VCC手机运营商
+        return self._result
+
+class VCC手机归属地():
+    """"""
+    def feature(self):
+        _VCC手机归属地 = -9999999
+        get_vcc_phone_city = vcc_phone_user(self.user_phone)
+        if get_vcc_phone_city.empty == False:
+            get_vcc_phone_city_value =get_vcc_phone_city['city'].values[0]
+            if get_vcc_phone_city_value =='null':
+                _VCC手机归属地 = -9999999
+            else:
+                _VCC手机归属地 = get_vcc_phone_city_value
+        self._result['VCC手机归属地']['value'] = _VCC手机归属地
+        return self._result
+
+
+class VCC信用卡是否认证():
+    """"""
+    def feature(self):
+        _VCC信用卡是否认证 = 0
+        get_vcc_user_info = vcc_user_info(self.uuid)
+        if get_vcc_user_info.empty == False:
+            get_vcc_user_info_value = get_vcc_user_info['cardType'].values[0]
+            if get_vcc_user_info_value == 2:
+                _VCC信用卡是否认证 = 1
+            else:
+                _VCC信用卡是否认证 = 0
+        self._result['VCC信用卡是否认证']['value'] = _VCC信用卡是否认证
+        return self._result
+
+
+
+class VCC职业():
+    """"""
+    def feature(self):
+        _VCC职业 = -9999999
+        # info_dict = {10600:'企事业单位负责人',20600:'经济和金融人员',20700:'法律、社会和宗教人员',
+        # 20800:'教学人员',20900:'文学艺术、体育人员',21000:'新闻出版、文化人员',
+        # 40300:'住宿和餐饮服务人员',49900:'社会生产和生活服务人员',59900:'农林牧渔水利人员',
+        # 70000:'军人',99999:'学生、无业、退休',-9999999:'其他'}
+        get_vcc_user_info = vcc_user_info(self.uuid)
+        if get_vcc_user_info.empty == False:
+            get_vcc_user_info_value = get_vcc_user_info['jobCode'].values[0]
+            if (get_vcc_user_info_value =='null') or (get_vcc_user_info_value ==None):
+                _VCC职业 = -9999999
+            else:
+                job_type = get_vcc_user_info_value
+                _VCC职业 = job_type
+        self._result['VCC职业']['value'] = _VCC职业
+        return self._result
+
+
+
+
+class VCC收入():
+    """"""
+    def feature(self):
+        _VCC收入 = -9999999
+        get_vcc_user_info = vcc_user_info(self.uuid)
+        if get_vcc_user_info.empty == False:
+            get_vcc_user_info_value = get_vcc_user_info['incomeCode'].values[0]
+            if get_vcc_user_info_value ==None:
+                _VCC收入 = -9999999
+            else:
+                _VCC收入 = int(get_vcc_user_info_value)
+        self._result['VCC收入']['value'] = _VCC收入
+        return self._result
+
+
+
+class VCC手机号与绑卡手机号一致性校验():
+    """"""
+    def feature(self):
+        _VCC手机号与绑卡手机号一致性校验 = -9999999
+        get_vcc_credit_phone = vcc_credit_phone(self.user_id,self.user_all_phone)
+        if get_vcc_credit_phone.empty == False:
+            get_vcc_user_info_value = get_vcc_credit_phone['as_type'].values[0]
+            if get_vcc_user_info_value ==0:
+                _VCC手机号与绑卡手机号一致性校验 = -9999999
+            else:
+                _VCC手机号与绑卡手机号一致性校验 = int(get_vcc_user_info_value)
+        self._result['VCC手机号与绑卡手机号一致性校验']['value'] = _VCC手机号与绑卡手机号一致性校验
+        return self._result
+
+
+class VCC系统风控审批时间():
+    """"""
+    def feature(self):
+        _VCC系统风控审批时间 = -9999999
+        get_vcc_user_time = self._apply_at.hour + 1
+        _VCC系统风控审批时间 = get_vcc_user_time
+        self._result['VCC系统风控审批时间']['value'] = _VCC系统风控审批时间
+        return self._result

handler/Base_Handler.py

@@ -18,6 +18,9 @@ class BaseHandler(tornado.web.RequestHandler):
         self._termNo = self.get_argument('term_no', default=None)
         self._apply_time = self.get_argument('apply_time', default=None)
         self._channel_no = self.get_argument('channel_no', default=None)
+        self._store_id = self.get_argument('store_id', default=None)
+        self._snapshot_time = self.get_argument('snapshot_time', default=None)
+        self._trade_no = self.get_argument('trade_no',default=None)
         self._codes = self.get_arguments('codes')
         if self._business_type:
             self._business_type = int(self._business_type)

handler/Calc_Features_4store.py

+# -*- coding:utf-8 -*-
+from handler.Base_Handler import BaseHandler
+from utils import JsonUtil
+import importlib
+from features.Base_Features import BaseFeatures as BF
+import datetime
+
+class CalcFeatures(BaseHandler): #feature_基础特征
+    def post(self):
+        try:
+            BF.set_private_var(
+                    codes = self._codes,
+                    business_type = self._business_type,
+                    uuid=self._uuid,
+                    user_id = self._user_id,
+                    orderId = self._orderId,
+                    apply_time = self._apply_time,
+                    store_id = self._store_id,
+                    snapshot_time = self._snapshot_time,
+                    trade_no = self._trade_no
+
+                    )
+
+            BF.get_subclasses('features.calc_features',self.mapping.mapping_all)
+            self.write(JsonUtil.build_json_feature(businessType=self._business_type, orderId=self._orderId,
+                                                   userUuid = self._uuid,user_id=self._user_id,
+                                                   store_id = self._store_id,
+                                                   snapshot_time=self._snapshot_time,
+                                                   trade_no =self._trade_no,
+                                                   features=BF._result, flag=True,code=JsonUtil.Constants.Code_Success))
+            self.flush()
+            self.finish()
+
+        except ValueError as e:
+            # == 数据类型或者字段缺少导致
+            self.write(JsonUtil.build_json(JsonUtil.Constants.Code_Param_Error, JsonUtil.Constants.Msg_Param_Error))
+            self.flush()
+        except Exception as e:
+            # == 报异常，查询失败
+            self.write(JsonUtil.build_json(JsonUtil.Constants.Code_Error, JsonUtil.Constants.Msg_Error))
+            self.flush()
+        pass

service/Sql_cheat.py

@@ -147,42 +147,64 @@ def user_order_approval(uuid,apply_time):
     return _df
 
 def requisition_quantity_xyqb_new(userid,apply_time):
-    """xyqb 在在途申请单数量 2020-02-20"""
-    Sql ="""SELECT count(*) count_xyqb FROM assign_funding_record a
+    """xyqb 在在途申请单数量 2020-03-05"""
+    # Sql ="""SELECT count(*) count_xyqb FROM assign_funding_record a
+    # left join assets_order b on a.asset_order_id=b.id
+    # left join waiting_funding_corp_operate_people c on b.loan_id=c.loan_application_history_id
+    # left join apply_quota_record d on b.out_trade_no=d.id
+    # WHERE a.assign_status=3 and d.product_type=0 and ((b.status in(0,1) and c.id is null) or (b.status=1 and c.funding_corp_progress not in (5,6)))
+    # and a.user_id='{0}' and a.created_at<'{1}';""".format(userid,apply_time)
+
+    Sql = """SELECT count(*) count_xyqb FROM assign_funding_record a
     left join assets_order b on a.asset_order_id=b.id
-    left join waiting_funding_corp_operate_people c on b.loan_id=c.loan_application_history_id
+    left join loan_application_manifest_history c on b.loan_id=c.loan_application_history_id
     left join apply_quota_record d on b.out_trade_no=d.id
-    WHERE a.assign_status=3 and d.product_type=0 and ((b.status in(0,1) and c.id is null) or (b.status=1 and c.funding_corp_progress not in (5,6)))
-    and a.user_id='{0}' and a.created_at<'{1}';""".format(userid,apply_time)
+    WHERE a.assign_status=3 and d.product_type=0
+    and ((b.status =0 and c.id is null) or (b.status=1 and c.transaction_status not in (2,4,5)))
+    and a.user_id='{0}'and a.created_at<'{1}';""".format(userid,apply_time)
     _df = pd.read_sql(Sql, con=con_new_xyqb)
     return _df
 
 def requisition_quantity_business_flow_new(uuid,apply_time):
-    """business_flow 在在途申请单数量  2020-02-20"""
-
+    """business_flow 在在途申请单数量  2020-03-05"""
     Sql = """SELECT count(*) count_business FROM apply_list
-    WHERE (apply_status in (2,3) or (apply_status =4 and audit_result<>0)) and (assets_result<>2 or assets_result is null)
-    and uuid ='{0}' and enable=1 and product_type=0 and created_at< '{1}';""".format(uuid,apply_time)
+    WHERE (apply_status in (2,3,4) or (apply_status =5 and assets_result=3)) 
+    and assets_result<>2  and enable=1 
+    and product_type=0
+    and uuid ='{0}'and created_at< '{1}';""".format(uuid,apply_time)
     _df = pd.read_sql(Sql, con=con_business_flow)
     return _df
 
 
 def tongye_requisition_quantity_xyqb(bussiness_type,_apply_from,userid,apply_time):
+    # Sql = """SELECT count(*) count_xyqb FROM assign_funding_record a
+    # left join assets_order b on a.asset_order_id=b.id
+    # left join waiting_funding_corp_operate_people c on b.loan_id=c.loan_application_history_id
+    # left join apply_quota_record d on b.out_trade_no=d.id
+    # WHERE a.assign_status=3 and d.product_type={0} and d.apply_from='{1}'
+    # and ((b.status=0 and c.id is null) or (b.status in(0,1) and c.funding_corp_progress not in (5,6)))
+    # and a.user_id='{2}' and a.created_at<'{3}';""".format(bussiness_type,_apply_from,userid,apply_time)
+
     Sql = """SELECT count(*) count_xyqb FROM assign_funding_record a
     left join assets_order b on a.asset_order_id=b.id
-    left join waiting_funding_corp_operate_people c on b.loan_id=c.loan_application_history_id
+    left join loan_application_manifest_history c on b.loan_id=c.loan_application_history_id
     left join apply_quota_record d on b.out_trade_no=d.id
     WHERE a.assign_status=3 and d.product_type={0} and d.apply_from='{1}'
-    and ((b.status=0 and c.id is null) or (b.status in(0,1) and c.funding_corp_progress not in (5,6)))
+    and ((b.status =0 and c.id is null) or (b.status=1 and c.transaction_status not in (2,4,5)))
     and a.user_id='{2}' and a.created_at<'{3}';""".format(bussiness_type,_apply_from,userid,apply_time)
     _df = pd.read_sql(Sql, con=con_new_xyqb)
     return _df
 
 
 def tongye_quantity_business_flow(bussiness_type,_apply_from,uuid,apply_time):
+    # Sql = """SELECT count(*) count_business FROM apply_list
+    # WHERE (apply_status in (2,3) or (apply_status =4 and audit_result<>0))
+    # and (assets_result<>2 or assets_result is null) and enable=1
+    # and product_type={0} and channel_id='{1}'
+    # and uuid ='{2}' and created_at< '{3}';""".format(bussiness_type,_apply_from,uuid,apply_time)
     Sql = """SELECT count(*) count_business FROM apply_list
-    WHERE (apply_status in (2,3) or (apply_status =4 and audit_result<>0)) 
-    and (assets_result<>2 or assets_result is null) and enable=1 
+    WHERE (apply_status in (2,3,4) or (apply_status =5 and assets_result=3) ) 
+    and assets_result<>2  and enable=1 
     and product_type={0} and channel_id='{1}'
     and uuid ='{2}' and created_at< '{3}';""".format(bussiness_type,_apply_from,uuid,apply_time)
     _df = pd.read_sql(Sql, con=con_business_flow)

service/Sql_vcc.py

@@ -9,6 +9,7 @@ from functools import reduce
 from dateutil.relativedelta import relativedelta
 import time
 import numpy as np
+from datetime import timedelta
 
 # 用户申请表
 def get_sql_apply_quota_record(user_id,apply_time):
@@ -516,14 +517,14 @@ def city_sign(uuid=None,order_no=None):
 #身份证是否过期
 def card_expires(uuid=None,order_no=None):
     params = {'user_uuid': str(uuid), 'codes': 'user_ocr_info#validDateEnd',
-              "order_id": str(order_no), "business_type": 0}
+              "order_id": str(order_no), "business_type": 0,'ignore_cache':True}
     headers = {
         'rc_auth_key': 'rc_offline',
         'rc_auth_secret': "9d9}bc24!e1z1x3`(x~4r29d$+45n3)'zb696b$85e>_]p2&4f{,a3~8b3e_ldt^"
     }
     _response = None
     try:
-        _url = "http://172.20.1.131:23010/calc/features"
+        _url = "http://172.20.1.184:23010/calc/features"
         _request = requests.get(_url, params=params, headers=headers)
         if _request.status_code == 200:
             _response = _request.json()
@@ -532,12 +533,12 @@ def card_expires(uuid=None,order_no=None):
     if _response:
         if _response['data']['features']['user_ocr_info#validDateEnd']['value'] == -9999999:
             return list([])
-        if _response['data']['features']['user_ocr_info#validDateEnd']['value'] == "?":
-            return list([])
+        # if _response['data']['features']['user_ocr_info#validDateEnd']['value'] == "?":
+        #     return list([])
         ll_idcard = _response['data']['features']['user_ocr_info#validDateEnd']['value']
 
         if ll_idcard:
-            if ll_idcard =='长期':
+            if (ll_idcard =='长期') or (ll_idcard =='长期有效'):
                 return 20301230
             elif isinstance(ll_idcard.replace(".",""),str):
                 return int(ll_idcard.replace(".",""))
@@ -568,7 +569,6 @@ def id_is_whitelist(phone_num_pre_seven,created_at):
     """查身份证是否在白名单"""
     _sql = """select count(DISTINCT cert_number) count from
      white_list where cert_number = "{0}" and is_enable = 1 and created_at < "{1}" """.format(phone_num_pre_seven,created_at)
-
     _df = pd.read_sql(_sql, con_realtime_hmd)
     return _df
 
@@ -608,3 +608,115 @@ def sale_phone_white(phone_no):
     _sql = """  select * from white_list_phone_no where phone_no = {0} and is_enable = 1 """.format(phone_no)
     _df = pd.read_sql(_sql, con_realtime_hmd)
     return _df
+
+
+
+
+
+def gratia_payment_amount():
+    """惠金所当日放款额"""
+    _sql = """select sum(contract_loan_amount) amount from loan_application_manifest_history 
+    where loan_paid_at>=CURDATE() and transaction_status in (2,5)
+    and funding_corp_id=950  and user_id = 430"""
+    _df = pd.read_sql(_sql,con_tuomin_xyqb)
+    return _df
+
+
+def amount_of_merchant(store_id,start_time,end_time):
+    _sql = """select amount as amount, trade_type as tradeType,trade_time as tradeTime from  trade_record
+     where inner_merchant_no = '{0}' and status = 1 and trade_time >= '{1}' and trade_time < '{2}'; """.format(store_id,start_time,end_time)
+    _df = pd.read_sql(_sql, con_vcc_talos)
+    return _df
+
+def userid_of_merchant(store_id,start_time,end_time):
+    _sql = """ select user_id as userId, trade_time as tradeTime from trade_record 
+    where inner_merchant_no = '{0}' and trade_type = 3 and status = 1 and trade_time >= '{1}' and trade_time < '{2}'; """.format(store_id,start_time,end_time)
+    _df = pd.read_sql(_sql, con_vcc_talos)
+    return _df
+
+def store_amount(uuid):
+    """商户额度"""
+    _sql = """ select activated_amount,user_id from user_quota_record where uuid = '{0}';""".format(uuid)
+    _df = pd.read_sql(_sql, con_vcc_quota)
+    return _df
+
+def uuid_store_amount(store_id,uuid,start_time,end_time):
+    _sql = """select amount as amount, trade_type as tradeType from  trade_record
+     where inner_merchant_no = '{0}' and uuid = '{1}'and status = 1 and trade_time >= '{2}' and trade_time < '{3}'; """.format(store_id,uuid,start_time,end_time)
+    _df = pd.read_sql(_sql, con_vcc_talos)
+    return _df
+
+def on_uuid_store(uuid,store_id,order_id):
+    _sql = """select amount from trade_record 
+    where uuid = '{0}' and inner_merchant_no = '{1}' and order_id = '{2}' and trade_type = 3 and status = 1""".format(uuid,store_id,order_id)
+    _df = pd.read_sql(_sql, con_vcc_talos)
+    return _df
+
+def store_type(store_id):
+    _sql = """select risk_flag as type from inner_merchant_info where inner_merchant_no = '{0}';""".format(store_id)
+    _df = pd.read_sql(_sql, con_vcc_talos)
+    return _df
+
+def get_orderid_trade(orderid):
+    _sql= """select trade_time from trade_record  where order_id = '{0}'""".format(orderid)
+    _df = pd.read_sql(_sql, con_vcc_talos)
+    return _df
+
+
+
+def time_restart_zero(data_time):
+    time_zero = datetime.datetime.strptime(datetime.datetime.strftime(data_time, '%Y-%m-%d 00:00:00'), '%Y-%m-%d 00:00:00')
+    return time_zero
+
+def iftime_order_snapshot(apply_time):
+    today = time_restart_zero(apply_time)
+    tomorrow = apply_time
+    yesterday = today - timedelta(days=1)
+
+    this_week_start = time_restart_zero(apply_time - timedelta(days=apply_time.weekday()))
+    this_week_end = apply_time
+
+    last_week_start = this_week_start - timedelta(days=7)
+    last_week_end = this_week_start
+
+    this_month_start = datetime.datetime(apply_time.year, apply_time.month, 1)
+    this_month_end = apply_time
+
+    last_month_up = this_month_start - timedelta(days=1)
+    last_month_start = datetime.datetime(last_month_up.year, last_month_up.month, 1)
+    last_month_end = this_month_start
+
+    return today,tomorrow,yesterday,this_week_start,this_week_end,last_week_start,last_week_end\
+    ,this_month_start,this_month_end,last_month_start,last_month_end
+
+
+def getSql_userPhone(uuid):
+    """获取用户手机号"""
+    _sql = """
+     select phone_no
+        from xyqb_i_user 
+        where uuid = '{0}'
+    """.format(uuid)  # type: str
+    _df = pd.read_sql(_sql,con_realtime)
+    return _df
+
+def vcc_phone_user(phone):
+    _sql = """select isp, city from dict_phone where phone= '{0}';""".format(phone)
+    _df = pd.read_sql(_sql, con_vcc_transfer)
+    return _df
+
+def vcc_user_info(uuid):
+    _sql = """  select card_type as cardType, job_code as jobCode, income_code as incomeCode from
+     account a left join account_other_info b on a.user_id=b.user_id where a.uuid= '{0}';""".format(uuid)
+    _df = pd.read_sql(_sql, con_vcc_talos)
+    return _df
+
+def vcc_credit_phone(userid,phone):
+    _sql = """select
+     case when count(1)>0
+     then 1 when count(1)=0
+     then 0
+     else '-9999999'
+     end as as_type from payment_center.bank_card where uid='{0}' and preserve_phone_no='{1}';""".format(userid,phone)
+    _df = pd.read_sql(_sql, con_vcc_transfer_pay)
+    return _df
\ No newline at end of file

startup.py

@@ -20,7 +20,7 @@ from handler import NewAudit_Handler
 from handler import Calc_Features_Handler  # 基础特征
 from handler import ComplexOrder_Handler  # 多订单特征
 from handler import LoanPostFeatures_Handler  # 催收模型特征
-
+from handler import Calc_Features_4store  #vcc商户特征
 # settings = {'debug' : False}
 class LogFormatter(tornado.log.LogFormatter):
 
@@ -37,7 +37,8 @@ def apps():
         (URL.url_new_audit, NewAudit_Handler.New_Audit),
         (URL.url_calc_features, Calc_Features_Handler.CalcFeatures),
         (URL.url_complex_order, ComplexOrder_Handler.ComplexOrder),
-        (URL.url_loanPostFeatures, LoanPostFeatures_Handler.loanPostFeatures)
+        (URL.url_loanPostFeatures, LoanPostFeatures_Handler.loanPostFeatures),
+        (URL.url_calc_features4store,Calc_Features_4store.CalcFeatures)
     ])