导入候选人

api/api_v1/endpoints/interview.py

@@ -99,6 +99,33 @@ async def interview_insert(
     except:
         return schemas.Msg(code=400, msg='上传文件有误', data=None)
     data = get_resume(filename, path_data)
+    education = data['education']
+    # 学历int转化
+    education_int = {
+        '大专': 1,
+        '本科': 2,
+        '研究生': 3,
+        '博士': 4,
+        '硕士': 5,
+    }
+    if education and isinstance(education, str):
+        data['education'] = education_int.get(education, 1)
+    age = data['age']
+    # 年龄int转化
+    if age and isinstance(age, str):
+        true_age = re.search(r"\d+\.?\d*", age)
+        if len(true_age.group()) > 2:
+            data['age'] = 20
+        else:
+            data['age'] = int(true_age.group())
+    work_exp = data['work_exp']
+    # 工作经验float转化
+    if work_exp and isinstance(work_exp, str):
+        true_work_exp = re.search(r"\d+\.?\d*", work_exp)
+        if len(true_work_exp.group()) > 3:
+            data['work_exp'] = 1.0
+        else:
+            data['work_exp'] = float(true_work_exp.group())
     print(data)
     return schemas.Msg(code=200, msg='ok', data=data)
 

models/interview_zsgc.py

@@ -1,6 +1,6 @@
 import re
 from typing import Tuple
-
+import datetime
 import arrow
 import sqlalchemy as sa
 import json
@@ -9,7 +9,7 @@ from fastapi import Depends
 
 import pandas as pd
 import numpy as np
-
+from utils.func import get_uid
 from sqlalchemy import func, or_, and_, not_
 from copy import deepcopy
 import crud
@@ -44,20 +44,57 @@ class InterviewDo:
             insert_data = self.data_in
 
         sql = f"insert into HR.resumes(interview_name, interview_type, interview_sign, feedback, interview_round, star_time, end_time, event_time, uid, name, phone, job_name, hr_name, work_exp, interview_stage, owner_name, education, work_undergo, project_undergo, work_list, school, at_school, specialty, specialty_do, mmended_state, mail, account, id_card, gender, age, gam, interview_state, graduate_time, counts, nation, come_time, review, upgrade) values"
+        now_time = datetime.datetime.now()
         for data in insert_data:
             s1 = data['star_time']
             s2 = data['end_time']
             s3 = data['event_time']
             s4 = data['graduate_time']
-            if s1:
+            if not s1:
+                data['star_time'] = None
+            else:
                 data['star_time'] = parser.parse(s1)
-            if s2:
+            if not s2:
+                data['end_time'] = None
+            else:
                 data['end_time'] = parser.parse(s2)
-            if s3:
+            if not s3:
+                data['event_time'] = now_time
+            else:
                 data['event_time'] = parser.parse(s3)
-            if s4:
+            if not s4:
+                data['graduate_time'] = None
+            else:
                 data['graduate_time'] = parser.parse(s4)
             data_true = deepcopy(data)
+            data_true['uid'] = get_uid()
+            education = data_true['education']
+            # 学历int转化
+            education_int = {
+                '大专': 1,
+                '本科': 2,
+                '研究生': 3,
+                '博士': 4,
+                '硕士': 5,
+            }
+            if education and isinstance(education, str):
+                data_true['education'] = education_int.get(education, 1)
+            age = data_true['age']
+            # 年龄int转化
+            if age and isinstance(age, str):
+                true_age = re.search(r"\d+\.?\d*", age)
+                if len(true_age.group()) > 2:
+                    data_true['age'] = 20
+                else:
+                    data_true['age'] = int(true_age.group())
+            work_exp = data_true['work_exp']
+            # 工作经验float转化
+            if work_exp and isinstance(work_exp, str):
+                true_work_exp = re.search(r"\d+\.?\d*", work_exp)
+                if len(true_work_exp.group()) > 3:
+                    data_true['work_exp'] = 1.0
+                else:
+                    data_true['work_exp'] = float(true_work_exp.group())
             res_data.append(data_true)
         print(sql)
         return {'sql': sql,
@@ -102,3 +139,7 @@ class InterviewDo:
         print(sql)
         return {'sql': sql,
                 }
+
+if __name__ == '__main__':
+    find = re.search(r"\d+\.?\d*", "18岁")
+    print(len(find.group()))

utils/jianli.py

@@ -20,7 +20,7 @@ schema_dict = {'姓名': 'name', '所在地': 'account', '户口所在地': 'acc
 
 # 简历初始文档
 data_mode = {
-    "interview_name": "",
+    "interview_name": "吴操",
     "interview_type": 1,
     "interview_sign": 0,
     "hope_money": 10000,
@@ -32,8 +32,8 @@ data_mode = {
     "name": "",
     "phone": "",
     "job_name": "",
-    "hr_name": "",
-    "work_exp": "",
+    "hr_name": "吴操",
+    "work_exp": 0.0,
     "interview_stage": 1,
     "owner_name": 2,
     "education": 1,
@@ -49,7 +49,7 @@ data_mode = {
     "account": "",
     "id_card": "",
     "gender": "",
-    "age": "",
+    "age": 0,
     "gam": "",
     "interview_state": 1,
     "graduate_time": "",