1.优化角色

api/api_v1/endpoints/interview.py

@@ -555,15 +555,15 @@ async def condition(
     # 今天的面试
     if data_in.time_type == 'now':
         #  查询返回的数据一共多少条
-        len_sql = f"""select uid from HR.resumes where {where} and toDate(star_time) == '{times}' ORDER BY event_time"""
+        len_sql = f"""select uid from HR.resumes where {where} and toDate(star_time) == '{times}' and interview_stage = 3 ORDER BY event_time"""
         sql = f"""select interview_round,interview_type,star_time,end_time,name,phone,job_names,hr_name,uid,interview_id,
-                 feedback,interview_name from HR.resumes where {where} and toDate(star_time) == '{times}' ORDER BY event_time 
+                 feedback,interview_name from HR.resumes where {where} and toDate(star_time) == '{times}' and interview_stage = 3 ORDER BY event_time 
                  LIMIT 10 OFFSET {(data_in.pages - 1) * 10}"""
     # 明天及之后的面试
     elif data_in.time_type == 'tomorrow':
-        len_sql = f"""select uid from HR.resumes where {where} and toDate(star_time) > '{times}' ORDER BY event_time"""
+        len_sql = f"""select uid from HR.resumes where {where} and toDate(star_time) > '{times}' and interview_stage = 3 ORDER BY event_time"""
         sql = f"""select interview_round,interview_type,star_time,end_time,name,phone,job_names,hr_name,uid,interview_id,
-                 feedback,interview_name from HR.resumes where {where} and toDate(star_time) > '{times}' ORDER BY event_time 
+                 feedback,interview_name from HR.resumes where {where} and toDate(star_time) > '{times}' and interview_stage = 3 ORDER BY event_time 
                  LIMIT 10 OFFSET {(data_in.pages - 1) * 10}"""
     # 昨天及以前的面试
     else:
@@ -1842,3 +1842,54 @@ async def find_like(
         return schemas.Msg(code=-9, msg='无数据', data='')
     res = chkData(data)
     return schemas.Msg(code=200, msg='ok', data=res)
+
+
+# 总览
+@router.post("/interview_stage_nu")
+async def interview_stage_nu(
+        request: Request,
+        data_in: schemas.nterview,
+        ckdb: CKDrive = Depends(get_ck_db),
+        current_user: schemas.UserDB = Depends(deps.get_current_user)
+) -> schemas.Msg:
+    res_data = {'0': 0, '1': 0, '2': 0, '3': 0, '4': 0, '5': 0, '6': 0, '7': 0, '8': 0, '9': 0, '10': 0, '11': 0}
+    res = data_in.date
+    strs = []
+    for k, v in res.items():
+        if v != '':
+            if 'int' in str(type(v)):
+                str_s = f"{k} = {v}"
+                strs.append(str_s)
+            else:
+                if k in ['hr_id', 'interview_id'] and v != '':
+                    str_s = f"{k} like '%{v}%'"
+                else:
+                    str_s = f"{k} = '{v}'"
+                strs.append(str_s)
+    where = ' and '.join(strs)
+    # 当前日期
+    times = get_time()
+    len_sql = f"""select uid from HR.resumes where {where} and toDate(star_time) == '{times}' and interview_stage = 3"""
+    if where == '':
+        len_sql = len_sql.replace('where  and', 'where', 1)
+    # 面试人数
+    df_len = await ckdb.query_dataframe(len_sql)
+    if df_len.empty:
+        len_date = 0
+    else:
+        len_date = len(df_len)
+    res_data['now']=len_date
+    # 1:初筛 2:复筛 3:面试 4:沟通offer 5:待入职 6:放弃入职 7:已入职 8:转正 9:主动离职 10:被动离职 11：淘汰
+    sql = """select interview_stage,count(*) as value from HR.resumes group by interview_stage"""
+    data = await ckdb.execute(sql)
+    for i in data.values():
+        key = str(i['interview_stage'])
+        if key not in res_data:
+            continue
+        res_data[key] = i['value']
+    # 待发送offer
+    off_sql="""select count(*) as value  from HR.resumes where offer_state <= 2  and interview_stage = 4"""
+    res= await ckdb.execute(off_sql)
+    res_data['offer'] = res[0]['value']
+
+    return schemas.Msg(code=200, msg='ok', data=res_data)

schemas/interview_plan.py

@@ -157,3 +157,15 @@ class add_inter(BaseModel):
 class find_like(BaseModel):
     interview_stage: str  # 简历阶段
     date: dict  # 查询条件
+
+
+class nterview(BaseModel):
+    date: dict  # 要查询的条件
+    # date包含如下参数,如选择全部的则传空字符串
+    # job_name: str   # 应聘职位
+    # hr_name: str  # 面试负责人
+    # interview_name: str  # 面试官
+    # interview_type: int  # 面试类型
+    # interview_sign: int  # 面试签到
+    # feedback: int  # 面试反馈
+    # interview_round: int  # 面试轮次