1.简历模糊查询

api/api_v1/endpoints/interview.py

@@ -101,7 +101,8 @@ def chkData(data):
                     for index, i in enumerate(work_list):
                         if index == 0:
                             continue
-                        if int(i['time'].split('-')[0].replace('.', '').replace('/', '')) > int(work_list[true_index]['time'].split('-')[0].replace('.', '').replace('/', '')):
+                        if int(i['time'].split('-')[0].replace('.', '').replace('/', '')) > int(
+                                work_list[true_index]['time'].split('-')[0].replace('.', '').replace('/', '')):
                             true_index = index
                     work_dict = work_list[true_index]
                     work_list = [work_dict]
@@ -136,7 +137,7 @@ def chkData(data):
                 remembrance = []
             res1['remembrance'] = remembrance
         if 'education' in res1:
-            education=res1['education']
+            education = res1['education']
             res1['education'] = education_dict[education]
         res_data.append(res1)
     return res_data
@@ -543,8 +544,8 @@ async def condition(
                 str_s = f"{k} = {v}"
                 strs.append(str_s)
             else:
-                if k in ['hr_id','interview_id'] and v != '':
+                if k in ['hr_id', 'interview_id'] and v != '':
-                    str_s=f"{k} like '%{v}%'"
+                    str_s = f"{k} like '%{v}%'"
                 else:
                     str_s = f"{k} = '{v}'"
                 strs.append(str_s)
@@ -1784,7 +1785,7 @@ async def head_to_hw(
             # 地址
             url = res.body.objectUrl
             resData = {'file_url': url, 'filename': 'hrms/user_icon/' + filename}
-            return schemas.Msg(code=0, msg='ok', data=resData)
+            return schemas.Msg(code=200, msg='ok', data=resData)
         else:
             # print('errorCode:', res.errorCode)
             # print('errorMessage:', res.errorMessage)
@@ -1792,4 +1793,39 @@ async def head_to_hw(
     except:
         import traceback
         print(traceback.format_exc())
-        return schemas.Msg(code=400, msg='上传华为云失败', data=None)
+        return schemas.Msg(code=400, msg='上传华为云失败', data=None)
+
+
+# 候选人管理，模糊查询
+@router.post("/find_like")
+async def find_like(
+        request: Request,
+        data_in: schemas.find_like,
+        ckdb: CKDrive = Depends(get_ck_db),
+        current_user: schemas.UserDB = Depends(deps.get_current_user)
+) -> schemas.Msg:
+    find_column = ["uid", "age", "gender", "at_school", "name", "event_time", "owner_name", "education",
+                   "school", "specialty", "interview_name", "mmended_state", "work_list", "work_exp",
+                   "graduate_time",
+                   "job_name", "feedback", "interview_round", "interview_state", "interview_stage", "pass_why",
+                   "pass_text"]
+    find_columns=','.join(find_column)
+    if data_in.date != {}:
+        strs = []
+        for k, v in data_in.date.items():
+            if v != '':
+                str_s = f"{k} like '%{v}%'"
+                strs.append(str_s)
+        where = ' and '.join(strs)
+        sql = f"""
+        select {find_columns} from HR.resumes where interview_stage = '{data_in.interview_stage}' and {where}
+        """
+    else:
+        sql = f"""
+        select {find_columns} from HR.resumes where interview_stage = '{data_in.interview_stage}'
+        """
+    data = await ckdb.execute(sql)
+    if not data:
+        return schemas.Msg(code=-9, msg='无数据', data='')
+    res=chkData(data)
+    return schemas.Msg(code=200, msg='ok', data=res)

liwei_接口文档.md

@@ -341,3 +341,10 @@ api:/api/v1/itr/send_interviewee
 #头像上传到华为云
 api:/api/v1/itr/head_to_hw
 请求方式：post
+
+# 候选人管理，模糊查询
+api:/api/v1/itr/find_like
+请求方式：post
+参数：
+    interview_stage: str  # 简历阶段
+    date: dict  # 查询条件

schemas/interview_plan.py

@@ -150,7 +150,10 @@ class add_inter(BaseModel):
     uid: str  # 求职者uid
     user_id: List[str]  # 面试官的钉钉id
     star_time: str  # 面试开始时间
-    end_time:str  # 面试结束时间
+    end_time: str  # 面试结束时间
     hr_user: List[str]  # HR的钉钉id
 
 
+class find_like(BaseModel):
+    interview_stage: str  # 简历阶段
+    date: dict  # 查询条件