fix(predictor): fix age error

predictor/__init__.py

@@ -49,12 +49,12 @@ class Predictor():
         self.name_pattern = re.compile(last_name + first_name)
         self.phone_pattern = re.compile(r'1 {0,4}(3 {0,4}\d|4 {0,4}[5-9]|5 {0,4}[0-35-9]|6 {0,4}[2567]|7 {0,4}[0-8]|8 {0,4}\d|9 {0,4}[0-35-9]) {0,4}(\d {0,4}){8}')
         self.email_pattern = re.compile(r'([a-zA-Z0-9_-] {0,4})+@([a-zA-Z0-9_-] {0,4})+(\. {0,4}([a-zA-Z0-9_-] {0,4})+)+')
-        self.gender_pattern = re.compile(r'(性 {0,8}别.*?)?\s*?(男|女)\s+?')
+        self.gender_pattern = re.compile(r'(性 {0,8}别.*?)?\s*?(男|女)')
         self.age_patterns = [
-            re.compile(r"(\d{1,2})岁|年龄.{0,10}(\d{1,2})"),
+            re.compile(r"(\d{1,2})岁|年龄.{0,10}?(\d{1,2})"),
             re.compile(r"生.{0,12}(([12]\d{3})[年|.]?(([01]?\d)[月|.]?)?(([0-3]?\d)[日|.]?)?)"),
         ]
-        self.works_key_pattern = re.compile("工作经(历|验)|experience",re.M|re.I)
+        self.works_key_pattern = re.compile("工作|experience|work",re.M|re.I)
         self.job_time_patterns = re.compile('([1-2]\d{3}(\D?[01]?\d){0,2})\D?([1-2]\d{3}(\D?[01]?\d){0,2}|至今)')
         self.edu_index =  ["博士","硕士","研究生","学士","本科","大专","专科","中专","高中","初中","小学"]
         self.edu_patterns = list(re.compile(i) for i in self.edu_index)
@@ -235,7 +235,7 @@ class Predictor():
                 s,e = age_match.span(1)
             elif age_match.group(2) is not None:
                 age = age_match.group(2)
-                s,e = age_match.span(1)
+                s,e = age_match.span(2)
             if age is not None:    
                 return_obj['age'].append({
                     'start': index_mapper[s],