1.保存附件id

2.获取标准版简历

api/api_v1/endpoints/interview.py

@@ -320,7 +320,7 @@ async def download_inter(
     interview_sign FROM HR.resumes WHERE toDate(star_time) >= '{data_in.start_time}' and toDate(star_time) <= '{data_in.end_time}'"""
     df = await ckdb.query_dataframe(sql)
     # xlsx表名
-    xlsx_name =data_in.start_time + '~' + data_in.end_time + '(包含起止日)'
+    xlsx_name = data_in.start_time + '~' + data_in.end_time + '(包含起止日)'
     datas = []
     for i in range(len(df)):
         one_data = []
@@ -355,10 +355,43 @@ async def event_edit(
 @router.post("/find_remark")
 async def event_edit(
         request: Request,
-        data_in: schemas.Ins_Job,
+        data_in: schemas.FindRemark,
         db: AsyncIOMotorDatabase = Depends(get_database),
 ) -> schemas.Msg:
     """查找备注"""
     data = await crud.api_interview_remark.get_interview_remarks(db, data_in)
     return schemas.Msg(code=200, msg='ok', data=data)
 
+
+@router.post("/find_criterion")
+async def event_edit(
+        request: Request,
+        data_in: schemas.get_uid,
+        ckdb: CKDrive = Depends(get_ck_db)
+) -> schemas.Msg:
+    """获取标准版简历"""
+    sql = f"""
+    select name,phone,job_name,work_exp,owner_name,education,work_undergo,school,specialty,
+    graduate_time,mail,account,id_card,gender,nation,age,at_school,specialty_do,hope_money,resume_affix_id,
+    review,work_list,project_undergo,upgrade,come_time,now_money,work_in_time from HR.resumes WHERE uid = '{data_in.uid}'
+    """
+    df = await ckdb.query_dataframe(sql)
+    data = {}
+    column = df.columns
+    for i in column:
+        data[i] = df[i][0]
+    return schemas.Msg(code=200, msg='ok', data=data)
+
+
+@router.post("/resume_affix")
+async def event_edit(
+        request: Request,
+        data_in: schemas.Post_uid,
+        ckdb: CKDrive = Depends(get_ck_db)
+) -> schemas.Msg:
+    """保存附件id"""
+    sql = f"""
+    ALTER table HR.resumes update resume_affix_id = {data_in.resume_affix_id} WHERE uid = '{data_in.uid}'
+    """
+    await ckdb.execute(sql)
+    return schemas.Msg(code=200, msg='ok', data='')

core/configuration.py

@@ -18,3 +18,17 @@ education_dict = {1: '大专', 2: '本科', 3: '研究生', 4: '博士', 5: '硕
 mmended_state_dict = {0: '未推荐', 1: '已推荐'}
 # 当前面试状态
 interview_state_dict = {1: '待安排', 2: '面试中', 3: '已结束'}
+# 候选人状态
+men_state_dict = {1: '未反馈', 2: '已接受', 3: '已拒绝', 4: '未到场'}
+# 面试官状态
+teacher_state_dict = {1: '未反馈', 2: '已反馈'}
+# 面试官反馈
+teacher_back_dict = {1: '满意', 2: '非常满意', 3: '不满意', 4: '非常不满意'}
+# offer状态
+offer_state_dict = {1: '未创建', 2: '未发送', 3: '待接受', 4: '已接受', 5: '已拒绝'}
+# offer审批状态
+offer_exam_state_dict = {1: '未发起', 2: '审批中', 3: '已通过', 4: '已驳回', 5: '已撤回'}
+# 通知状态
+notice_state_dict = {0: '未通知', 1: '已通知'}
+# 淘汰原因
+pass_why_dict = {1: '招聘需求变更', 2: '福利待遇不匹配', 3: '与公司文化不符', 4: '淘汰', 5: '胜任力不足', 6: '没有回应', 7: '其他'}

liwei_接口文档.md

@@ -51,3 +51,16 @@ api:/api/v1/itr/download_interview
 参数:
     start_time: str  # 开始时间
     end_time: str  # 结束时间
+
+#获取标准版简历
+api:/api/v1/itr/find_criterion
+请求方式：post
+参数:
+    uid: str  # 面试者简历在CK中的唯一标识
+
+#保存附件id
+api:/api/v1/itr/resume_affix
+请求方式：post
+参数:
+    uid: str  # 面试者简历在CK中的唯一标识
+    resume_affix_id: List[str]  # 附件id

schemas/interview_plan.py

@@ -21,3 +21,12 @@ class Interview(BaseModel):
 class Timesinter(BaseModel):
     start_time: str  # 开始时间
     end_time: str  # 结束时间
+
+
+class Post_uid(BaseModel):
+    uid: str  # 面试者简历在CK中的唯一标识
+    resume_affix_id: List[str]  # 附件id
+
+
+class get_uid(BaseModel):
+    uid: str  # 面试者简历在CK中的唯一标识

utils/casbin/dingding.py

@@ -0,0 +1,120 @@
+import json
+
+import requests
+
+from db.redisdb import get_redis_pool
+
+redisdb=get_redis_pool()
+def get_token():
+    """
+    获取钉钉token
+    :return:
+    """
+    corpid = 'dingd10b2fc689700431'
+    corpsecret = 'eL2gsI4Hgqx__FC8T5Bjmue_zQoyG5sm-SJqEDdS4NmKPTzFLQ2G93CX24VP2_n3'
+    url = f"https://oapi.dingtalk.com/gettoken"
+    # 请求头
+    headers = {'Content-type': 'text/html;charset=utf-8', 'Access-Control-Allow-Origin': '*'}
+    # query查询参数
+    query = {
+        'corpid': corpid,
+        'corpsecret': corpsecret
+    }
+    r = requests.get(url=url, params=query, headers=headers)
+    date = r.json()
+    tokens = date['access_token']
+    # print(tokens)
+    return tokens
+
+
+def get_uid(dept_id):
+    """
+    获取钉钉部门的成员名和uid
+    :return:
+    """
+    url = "https://oapi.dingtalk.com/topapi/user/listsimple"
+    query = {
+        'access_token': get_redistoken()
+    }
+    data = {
+        'dept_id': dept_id,
+        'cursor': 0,
+        'size': 100
+    }
+    r = requests.post(url=url, params=query, data=data)
+    datas = r.json()
+    return datas['result']['list']
+
+
+def get_zi():
+    """
+    获取钉钉的所有部门列表
+    :return:
+    """
+    url = "https://oapi.dingtalk.com/department/list"
+    query = {
+        'access_token': get_redistoken()
+    }
+    r = requests.get(url=url, params=query)
+    datas = r.json()
+    return datas['department']
+
+
+
+
+def send_date(name, job, times, hr, interview_name, userid_list):
+    """
+    发送消息至钉钉
+    :param name: 面试者姓名
+    :param job: 面试岗位
+    :param times: 面试时间
+    :param hr: hr名字
+    :param interview_name: 面试官
+    :param userid_list: 要发送的人的uid，列表
+    :return:
+    """
+    userid_list = ','.join(userid_list)
+    url = "https://oapi.dingtalk.com/topapi/message/corpconversation/asyncsend_v2"
+    query = {
+        'access_token': get_redistoken()
+    }
+    data = {
+        'agent_id': 792756727,
+        "to_all_user": "false",
+        'userid_list': userid_list,
+        "msg": {
+            "msgtype": "text",
+            "text": {
+                "content": f"【面试通知】\n面试者：{name}\n面试岗位：{job}\n面试时间：{times}\nHR：{hr}\n面试官：{interview_name}"
+            }
+        }
+    }
+    json_data = json.dumps(data)
+    #  发送消息到钉钉
+    requests.post(url=url, params=query, data=json_data)
+
+
+
+def get_redistoken():
+    """
+    获取redis中存的token，如没有重新获取再存数据库中，再获取
+    :return: str
+    """
+    redistoken = redisdb.get('token')
+    if redistoken == None:
+        #  token = '16524325693811559'
+        token = get_token()
+        redisdb.set(name='token', value=token, ex=3600)  # 1小时 3600
+        redistoken = redisdb.get('token')
+    return redistoken.decode()
+
+
+def qujian_time(start_time, end_time):
+    """
+    把两个时间变成区间
+    :param start_time: '2022-07-01 10:00:00'
+    :param end_time: '2022-07-01 10:30:00'
+    :return: '2022-07-01 10:00:00~10:30:00'
+    """
+    timess = str(end_time).split(' ')[-1]
+    return str(start_time) + '~' + timess