fix HIL contract

@@ -10,15 +10,14 @@ from .get_char import Finder
 
 
 def predict(pdf_info, file_cls):
 def predict(pdf_info, file_cls):
     """Summary
     """Summary
-    
+
     Args:
     Args:
         pdf_info (TYPE): Description
         pdf_info (TYPE): Description
         file_cls (TYPE): file_cls = 0: 售后回租合同; file_cls = 1: 车辆处置协议; file_cls = 2: 车辆租赁抵押合同
         file_cls (TYPE): file_cls = 0: 售后回租合同; file_cls = 1: 车辆处置协议; file_cls = 2: 车辆租赁抵押合同
-    
+
     Returns:
     Returns:
         TYPE: Description
         TYPE: Description
     """
     """
-
     # 0: 售后回租合同
     # 0: 售后回租合同
     pdf_info_0 = []
     pdf_info_0 = []
     for pno in pdf_info:
     for pno in pdf_info:
@@ -30,7 +29,6 @@ def predict(pdf_info, file_cls):
                     bbox, text = span['bbox'], span['text']
                     bbox, text = span['bbox'], span['text']
                     if '售后回租合同_' in text:
                     if '售后回租合同_' in text:
                         pdf_info_0.append(pdf_info[pno])
                         pdf_info_0.append(pdf_info[pno])
-
     # 1: 车辆处置协议
     # 1: 车辆处置协议
     pdf_info_1 = []
     pdf_info_1 = []
     for pno in pdf_info:
     for pno in pdf_info:
@@ -42,7 +40,6 @@ def predict(pdf_info, file_cls):
                     bbox, text = span['bbox'], span['text']
                     bbox, text = span['bbox'], span['text']
                     if '售后回租合同附件一' in text:
                     if '售后回租合同附件一' in text:
                         pdf_info_1.append(pdf_info[pno])
                         pdf_info_1.append(pdf_info[pno])
-
     # 2: 车辆租赁抵押合同
     # 2: 车辆租赁抵押合同
     pdf_info_2 = []
     pdf_info_2 = []
     for pno in pdf_info:
     for pno in pdf_info:
@@ -54,7 +51,6 @@ def predict(pdf_info, file_cls):
                     bbox, text = span['bbox'], span['text']
                     bbox, text = span['bbox'], span['text']
                     if '车辆租赁抵押合同_' in text:
                     if '车辆租赁抵押合同_' in text:
                         pdf_info_2.append(pdf_info[pno])
                         pdf_info_2.append(pdf_info[pno])
-
     is_clczxy = False
     is_clczxy = False
     # 如果 pdf_info_1 == 4 页，则说明此时输入包含了车辆处置协议
     # 如果 pdf_info_1 == 4 页，则说明此时输入包含了车辆处置协议
     if len(pdf_info_1) == 4 and file_cls == 1 and len(pdf_info_0) != 0:
     if len(pdf_info_1) == 4 and file_cls == 1 and len(pdf_info_0) != 0:
@@ -62,7 +58,6 @@ def predict(pdf_info, file_cls):
         pdf_info = dict()
         pdf_info = dict()
         for pno, page_info in enumerate(pdf_info_1):
         for pno, page_info in enumerate(pdf_info_1):
             pdf_info[str(pno)] = page_info
             pdf_info[str(pno)] = page_info
-
     f = Finder(pdf_info)
     f = Finder(pdf_info)
     if file_cls == 0:
     if file_cls == 0:
         results = f.get_info()
         results = f.get_info()
@@ -72,13 +67,11 @@ def predict(pdf_info, file_cls):
     if file_cls == 2:
     if file_cls == 2:
         # 提取信息 ———— 车辆租赁抵押合同
         # 提取信息 ———— 车辆租赁抵押合同
         results = f.get_info_2()
         results = f.get_info_2()
-
-    if is_clczxy == True:
+    if is_clczxy is True:
         for key in results:
         for key in results:
             if results[key]['page'] is not None:
             if results[key]['page'] is not None:
-                results[key]['page'] = str(int(results[key]['page'])+6)
-
+                results[key]['page'] = str(int(results[key]['page']) + 6)
     for key in results:
     for key in results:
         if results[key]['page'] is not None:
         if results[key]['page'] is not None:
-            results[key]['page'] = 'page_' + str(int(results[key]['page'])+1)
+            results[key]['page'] = 'page_' + str(int(results[key]['page']) + 1)
     return results
     return results