年度趋势
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2b5ec1c32d
commit
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@ -8,7 +8,7 @@ from motor.motor_asyncio import AsyncIOMotorDatabase
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from utils.dingding import get_redis_alluid, send_dates
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from utils.jianli import get_resume
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from utils.func import get_every_days
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from utils.func import get_every_days, get_every_months
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import crud, schemas
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from datetime import datetime
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from core.configuration import *
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@ -724,3 +724,65 @@ async def interview_trend_form(
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res_msg[chk_date]['创建面试的申请数'] += 1 * count_num
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return schemas.Msg(code=200, msg='ok', data=res_msg)
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# 年度招聘趋势报表
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@router.post("/year_trend_form")
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async def year_trend_form(
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request: Request,
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interview: InterviewDo = Depends(InterviewDo),
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ck_db: CKDrive = Depends(get_ck_db)
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) -> schemas.Msg:
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""" 招聘趋势分析报表 """
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await interview.init()
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res = interview.get_year_form_sql()
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sql = res['sql']
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data = await ck_db.execute(sql)
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if not data:
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return schemas.Msg(code=-9, msg='无数据', data=None)
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sdate = res['sdate']
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edate = res['edate']
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months = get_every_months(sdate, edate)
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res_msg = {}
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for i in months:
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res_msg[str(i)] = {
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'简历推荐数': 0,
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'有效简历数': 0,
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'到场面试数': 0,
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'面试通过': 0,
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'offer发出数': 0,
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'入职人数': 0,
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'转正人数': 0,
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'离职人数': 0,
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'主动离职': 0,
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'被动离职': 0
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}
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for chk_data in data.values():
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chk_date = datetime.strftime(chk_data['date'], '%Y-%m')
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if chk_date not in res_msg:
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continue
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chk_stage = chk_data['interview_stage']
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count_num = chk_data['value']
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if chk_stage >= 1:
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res_msg[chk_date]['简历推荐数'] += 1 * count_num
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if chk_stage >= 2:
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res_msg[chk_date]['有效简历数'] += 1 * count_num
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if chk_stage >= 3:
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res_msg[chk_date]['到场面试数'] += 1 * count_num
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if chk_stage >= 4:
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res_msg[chk_date]['面试通过'] += 1 * count_num
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if chk_stage >= 5:
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res_msg[chk_date]['offer发出数'] += 1 * count_num
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if chk_stage >= 7:
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res_msg[chk_date]['入职人数'] += 1 * count_num
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if chk_stage >= 8:
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res_msg[chk_date]['转正人数'] += 1 * count_num
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if chk_stage >= 9:
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res_msg[chk_date]['离职人数'] += 1 * count_num
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res_msg[chk_date]['主动离职'] += 1 * count_num
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if chk_stage >= 10:
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res_msg[chk_date]['离职人数'] += 1 * count_num
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res_msg[chk_date]['被动离职'] += 1 * count_num
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return schemas.Msg(code=200, msg='ok', data=res_msg)
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@ -677,6 +677,52 @@ class InterviewDo:
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'sql': sql
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}
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# 年度招聘数据sql
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def get_year_form_sql(self):
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whereStr = ''
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is_date = 0
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if self.where:
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for key, value in self.where.items():
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if key in ['start_time', 'end_time']:
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is_date = 1
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continue
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if isinstance(value, str):
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whereStr += str(key) + ' = ' + "'" + value + "'" + ' '
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continue
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whereStr += str(key) + ' = ' + str(value) + ' '
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whereStr = whereStr.strip()
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# 有日期条件
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start_time = self.where.get('start_time', '')
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end_time = self.where.get('end_time', '')
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if is_date:
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if whereStr:
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sql = f"select toStartOfMonth(addHours(`event_time`, 0)) as date,interview_stage, count() as value from HR.resumes where {whereStr}"
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else:
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sql = f"select toStartOfMonth(addHours(`event_time`, 0)) as date,interview_stage, count() as value from HR.resumes"
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if start_time or end_time:
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sql += f" where"
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if start_time:
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if whereStr:
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sql += f" and date >= '{start_time}'"
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else:
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sql += f" date >= '{start_time}'"
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if end_time:
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sql += f" and date <= '{end_time}'"
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# 没有日期条件
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else:
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if whereStr:
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sql = f"select toStartOfMonth(addHours(`event_time`, 0)) as date,interview_stage, count() as value from HR.resumes where {whereStr}"
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else:
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sql = f"select toStartOfMonth(addHours(`event_time`, 0)) as date,interview_stage, count() as value from HR.resumes"
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sql += f" group by date, interview_stage"
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print(sql)
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return {
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'sql': sql,
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'sdate': start_time,
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'edate': end_time,
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}
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if __name__ == '__main__':
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col = 'max_interview_stage'
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@ -294,3 +294,18 @@ def get_every_days(sdate, edate):
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true_day = datetime.datetime.strftime(day, '%Y-%m-%d')
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days.append(true_day)
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return days
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# 获取两个日期之间的所有月份
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def get_every_months(sdate, edate):
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start_date = datetime.datetime.strptime(sdate, '%Y-%m-%d')
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end_date = datetime.datetime.strptime(edate, '%Y-%m-%d')
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months = (start_date.year - end_date.year) * 12 + end_date.month - start_date.month
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month_range = ['%04d-%02d' % (int(start_date.year + mon // 12), int(mon % 12 + 1))
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for mon in range(start_date.month - 1, start_date.month + months)]
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return month_range
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if __name__ == '__main__':
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get_every_months('2022-01-01', '2022-12-31')
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163
接口文档/年度趋势接口文档.txt
Normal file
163
接口文档/年度趋势接口文档.txt
Normal file
@ -0,0 +1,163 @@
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路由: /api/v1/forms/year_trend_form
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参数:
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{
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"data_in": "string", # 为空""
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"interview_query": {"start_time":"2022-01-01", "end_time":"2022-12-31"}, # 时间区间 样式 年-月-日 字符串
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"find_column": [
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"string" # 为空 []
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]
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}
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返回值:
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{
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"code": 200,
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"msg": "ok",
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"data": {
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"2022-01": { # 月份对应的数据
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"简历推荐数": 0,
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"有效简历数": 0,
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"到场面试数": 0,
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"面试通过": 0,
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"offer发出数": 0,
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"入职人数": 0,
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"转正人数": 0,
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"离职人数": 0,
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"主动离职": 0,
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"被动离职": 0
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},
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"2022-02": {
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"简历推荐数": 0,
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"有效简历数": 0,
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"到场面试数": 0,
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"面试通过": 0,
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"offer发出数": 0,
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"入职人数": 0,
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"转正人数": 0,
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"离职人数": 0,
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"主动离职": 0,
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"被动离职": 0
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},
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"2022-03": {
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"简历推荐数": 0,
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"有效简历数": 0,
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"到场面试数": 0,
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"面试通过": 0,
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"offer发出数": 0,
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"入职人数": 0,
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"转正人数": 0,
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"离职人数": 0,
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"主动离职": 0,
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"被动离职": 0
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},
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"2022-04": {
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"简历推荐数": 0,
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"有效简历数": 0,
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"到场面试数": 0,
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"面试通过": 0,
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"offer发出数": 0,
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"入职人数": 0,
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"转正人数": 0,
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"离职人数": 0,
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"主动离职": 0,
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"被动离职": 0
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},
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"2022-05": {
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"简历推荐数": 0,
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"有效简历数": 0,
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"到场面试数": 0,
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"面试通过": 0,
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"offer发出数": 0,
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"入职人数": 0,
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"转正人数": 0,
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"离职人数": 0,
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"主动离职": 0,
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"被动离职": 0
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},
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"2022-06": {
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"简历推荐数": 0,
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"有效简历数": 0,
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"到场面试数": 0,
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"面试通过": 0,
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"offer发出数": 0,
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"入职人数": 0,
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"转正人数": 0,
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"离职人数": 0,
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"主动离职": 0,
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"被动离职": 0
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},
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"2022-07": {
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"简历推荐数": 23,
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"有效简历数": 23,
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"到场面试数": 23,
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"面试通过": 23,
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"offer发出数": 23,
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"入职人数": 0,
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"转正人数": 0,
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"离职人数": 0,
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"主动离职": 0,
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"被动离职": 0
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},
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"2022-08": {
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"简历推荐数": 0,
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"有效简历数": 0,
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"到场面试数": 0,
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"面试通过": 0,
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"offer发出数": 0,
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"入职人数": 0,
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"转正人数": 0,
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"离职人数": 0,
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"主动离职": 0,
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"被动离职": 0
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},
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"2022-09": {
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"简历推荐数": 0,
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"有效简历数": 0,
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"到场面试数": 0,
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"面试通过": 0,
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"offer发出数": 0,
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"入职人数": 0,
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"转正人数": 0,
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"离职人数": 0,
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"主动离职": 0,
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"被动离职": 0
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},
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"2022-10": {
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"简历推荐数": 0,
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"有效简历数": 0,
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"到场面试数": 0,
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"面试通过": 0,
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"offer发出数": 0,
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"入职人数": 0,
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"转正人数": 0,
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"离职人数": 0,
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"主动离职": 0,
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"被动离职": 0
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},
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"2022-11": {
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"简历推荐数": 0,
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"有效简历数": 0,
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"到场面试数": 0,
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"面试通过": 0,
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"offer发出数": 0,
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"入职人数": 0,
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"转正人数": 0,
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"离职人数": 0,
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"主动离职": 0,
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"被动离职": 0
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},
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"2022-12": {
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"简历推荐数": 0,
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"有效简历数": 0,
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"到场面试数": 0,
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"面试通过": 0,
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"offer发出数": 0,
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"入职人数": 0,
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"转正人数": 0,
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"离职人数": 0,
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"主动离职": 0,
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"被动离职": 0
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}
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}
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}
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