212 lines
9.2 KiB
Python
212 lines
9.2 KiB
Python
from __future__ import absolute_import, unicode_literals
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from celery import shared_task
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from apps.qm.models import QuaStat
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from apps.utils.tasks import CustomTask
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from django.db.models import Sum, F, ExpressionWrapper, FloatField, Q
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# def cal_quastat_type(qs, params_o: dict, type: str):
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# params = params_o.copy()
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# v_list = ['belong_dept', 'material', 'testitem', 'year_s', 'month_s', 'day_s', 'shift']
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# if type == 'month_sf':
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# params.pop('day_s')
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# v_list = ['belong_dept', 'material', 'testitem', 'year_s', 'month_s', 'shift']
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# elif type == 'month_s':
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# params.pop('shift')
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# params.pop('day_s')
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# v_list = ['belong_dept', 'material', 'testitem', 'year_s', 'month_s']
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# elif type == 'year_s':
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# params.pop('shift')
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# params.pop('month_s')
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# params.pop('day_s')
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# v_list = ['belong_dept', 'material', 'testitem', 'year_s']
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# qs_ = qs.filter(**params).values(*v_list)
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# results = qs_.annotate(
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# avg_val_total=Sum(F('val_avg')*F('num_test')),
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# num_test_1=Sum('num_test'),
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# num_ok_1=Sum('num_ok')).annotate(
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# avg_val_1=ExpressionWrapper(F('avg_val_total')/F('num_test_1'), output_field=FloatField())
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# # ,rate_pass_1=ExpressionWrapper(F('num_ok_1')/F('num_test_1'), output_field=FloatField()) 不知道为什么算出来是0
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# )
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# query = """
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# SELECT SUM(num_test * val_avg)/SUM(num_test) AS avg_val_1, SUM(num_test) AS num_test_1, SUM(num_ok) AS num_ok_1, SUM(num_ok)/SUM(num_test) as rate_pass_1
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# FROM qm_quastat
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# where year_s = 2023 and month_s = 7 and day_s = 7 and type = 'sflog'
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# GROUP BY belong_dept_id, material_id, testitem_id
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# """
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# params['type'] = type
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# for r1 in results:
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# stat_params = {
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# 'val_avg': r1['avg_val_1'],
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# 'num_test': r1['num_test_1'],
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# 'num_ok': r1['num_ok_1'],
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# 'rate_pass': r1['num_ok_1']/r1['num_test_1']
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# }
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# qua, is_created = QuaStat.objects.get_or_create(
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# **params, defaults={**params, **stat_params}
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# )
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# for k in stat_params:
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# setattr(qua, k, stat_params[k])
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# qua.save()
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# @shared_task(base=CustomTask)
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# def cal_quastat(quastatId: str):
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# ins = QuaStat.objects.get(id=quastatId)
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# qs = QuaStat.objects.filter(type='sflog').exclude(Q(val_avg__isnull=True)|Q(num_test__isnull=True)|Q(num_ok__isnull=True))
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# params = {
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# 'testitem': ins.testitem,
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# 'material': ins.material,
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# 'shift': ins.shift,
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# 'belong_dept': ins.belong_dept,
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# 'year_s': ins.year_s,
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# 'month_s': ins.month_s,
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# 'day_s': ins.day_s
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# }
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# # 日统计
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# cal_quastat_type(qs, params_o=params, type='day_s')
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# # 班月统计
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# cal_quastat_type(qs, params_o=params, type='month_sf')
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# # 月统计
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# cal_quastat_type(qs, params_o=params, type='month_s')
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# # 年统计
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# cal_quastat_type(qs, params_o=params, type='year_s')
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@shared_task(base=CustomTask)
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def cal_quastat_sflog(sflogId: str):
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from apps.wpm.models import SfLog
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from apps.enm.models import EnStat
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from apps.utils.sql import query_all_dict
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sflog = SfLog.objects.get(id=sflogId)
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mgroup = sflog.mgroup
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team = sflog.team
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qs = QuaStat.objects.exclude(Q(val_avg__isnull=True)|Q(num_test__isnull=True)|Q(num_ok__isnull=True))
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year_s, month_s, day_s = sflog.get_ymd
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# 班统计
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qs1_v = qs.filter(sflog=sflog).annotate(material_name=F('material__name'), testitem_name=F('testitem__name')).values('material', 'material_name', 'testitem', 'testitem_name', 'val_avg', 'num_test', 'num_ok', 'rate_pass')
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enstat, _ = EnStat.objects.get_or_create(type="sflog", sflog=sflog,
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defaults={'type': 'sflog', 'sflog': sflog, 'mgroup': mgroup, 'year_s': year_s, 'month_s': month_s, 'day_s': day_s})
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enstat.qua_data = list(qs1_v)
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enstat.save(update_fields=['qua_data'])
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# 日统计
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sql_q2 = f"""SELECT
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mtma."id" AS material,
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mtma."name" AS material_name,
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qmt."id" AS testitem,
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qmt."name" AS testitem_name,
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CAST(SUM(num_test * val_avg) AS FLOAT)/NULLIF(SUM(num_test), 0) AS val_avg,
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SUM(num_test) AS num_test,
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SUM(num_ok) AS num_ok,
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100 * CAST(SUM(num_ok) AS FLOAT)/NULLIF(SUM(num_test),0) AS rate_pass
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FROM qm_quastat qmq
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LEFT JOIN wpm_sflog sflog on sflog.id = qmq.sflog_id
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LEFT JOIN mtm_mgroup mgroup on mgroup.id = sflog.mgroup_id
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LEFT JOIN mtm_material mtma on mtma.id = qmq.material_id
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LEFT JOIN qm_testitem qmt on qmt.id = qmq.testitem_id
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where EXTRACT(year from sflog.end_time) = {year_s}
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and EXTRACT(month from sflog.end_time) = {month_s} and EXTRACT(day from sflog.end_time) = {day_s}
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and mgroup.id = '{mgroup.id}'
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and qmq.val_avg is not NULL
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and qmq.num_test is not NULL
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and qmq.num_ok is not NULL
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GROUP BY mgroup."id", mtma."id", qmt."id", mgroup.sort, mtma.sort, qmt.sort
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ORDER BY mgroup.sort, mtma.sort, qmt.sort
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"""
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res2 = query_all_dict(sql_q2)
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enstat, _ = EnStat.objects.get_or_create(type="day_s", mgroup=mgroup, year_s=year_s, month_s=month_s, day_s=day_s,
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defaults={'type': 'day_s', 'mgroup': mgroup, 'year_s': year_s, 'month_s': month_s, 'day_s': day_s})
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enstat.qua_data = res2
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enstat.save(update_fields=['qua_data'])
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if team:
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# 班月统计
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sql_q3 = f"""SELECT
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mtma."id" AS material,
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mtma."name" AS material_name,
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qmt."id" AS testitem,
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qmt."name" AS testitem_name,
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CAST(SUM(num_test * val_avg) AS FLOAT)/NULLIF(SUM(num_test), 0) AS val_avg,
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SUM(num_test) AS num_test,
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SUM(num_ok) AS num_ok,
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100 * CAST(SUM(num_ok) AS FLOAT)/NULLIF(SUM(num_test),0) AS rate_pass
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FROM qm_quastat qmq
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LEFT JOIN wpm_sflog sflog on sflog.id = qmq.sflog_id
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LEFT JOIN mtm_team team on team.id = sflog.team_id
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LEFT JOIN mtm_material mtma on mtma.id = qmq.material_id
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LEFT JOIN qm_testitem qmt on qmt.id = qmq.testitem_id
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where EXTRACT(year from sflog.end_time) = {year_s}
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and EXTRACT(month from sflog.end_time) = {month_s}
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and team.id = '{team.id}'
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and qmq.val_avg is not NULL
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and qmq.num_test is not NULL
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and qmq.num_ok is not NULL
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GROUP BY mtma."id", qmt."id", mtma.sort, qmt.sort
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ORDER BY mtma.sort, qmt.sort
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"""
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res3 = query_all_dict(sql_q3)
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enstat, _ = EnStat.objects.get_or_create(type="month_st", mgroup=mgroup, team=team, year_s=year_s, month_s=month_s,
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defaults={'type': 'month_st', 'mgroup': mgroup, 'year_s': year_s, 'month_s': month_s, 'team': team})
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enstat.qua_data = res3
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enstat.save(update_fields=['qua_data'])
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# 月统计
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sql_q4 = f"""SELECT
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mtma."id" AS material,
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mtma."name" AS material_name,
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qmt."id" AS testitem,
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qmt."name" AS testitem_name,
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CAST(SUM(num_test * val_avg) AS FLOAT)/NULLIF(SUM(num_test), 0) AS val_avg,
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SUM(num_test) AS num_test,
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SUM(num_ok) AS num_ok,
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100 * CAST(SUM(num_ok) AS FLOAT)/NULLIF(SUM(num_test),0) AS rate_pass
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FROM qm_quastat qmq
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LEFT JOIN wpm_sflog sflog on sflog.id = qmq.sflog_id
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LEFT JOIN mtm_mgroup mgroup on mgroup.id = sflog.mgroup_id
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LEFT JOIN mtm_material mtma on mtma.id = qmq.material_id
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LEFT JOIN qm_testitem qmt on qmt.id = qmq.testitem_id
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where EXTRACT(year from sflog.end_time) = {year_s}
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and EXTRACT(month from sflog.end_time) = {month_s}
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and mgroup.id = '{mgroup.id}'
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and qmq.val_avg is not NULL
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and qmq.num_test is not NULL
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and qmq.num_ok is not NULL
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GROUP BY mgroup."id", mtma."id", qmt."id", mgroup.sort, mtma.sort, qmt.sort
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ORDER BY mgroup.sort, mtma.sort, qmt.sort
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"""
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res4 = query_all_dict(sql_q4)
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enstat, _ = EnStat.objects.get_or_create(type="month_s", mgroup=mgroup, year_s=year_s, month_s=month_s,
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defaults={'type': 'month_s', 'mgroup': mgroup, 'year_s': year_s, 'month_s': month_s})
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enstat.qua_data = res4
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enstat.save(update_fields=['qua_data'])
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# 年统计
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sql_q5 = f"""SELECT
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mtma."id" AS material,
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mtma."name" AS material_name,
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qmt."id" AS testitem,
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qmt."name" AS testitem_name,
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CAST(SUM(num_test * val_avg) AS FLOAT)/NULLIF(SUM(num_test), 0) AS val_avg,
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SUM(num_test) AS num_test,
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SUM(num_ok) AS num_ok,
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100 * CAST(SUM(num_ok) AS FLOAT)/NULLIF(SUM(num_test),0) AS rate_pass
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FROM qm_quastat qmq
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LEFT JOIN wpm_sflog sflog on sflog.id = qmq.sflog_id
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LEFT JOIN mtm_mgroup mgroup on mgroup.id = sflog.mgroup_id
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LEFT JOIN mtm_material mtma on mtma.id = qmq.material_id
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LEFT JOIN qm_testitem qmt on qmt.id = qmq.testitem_id
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where EXTRACT(year from sflog.end_time) = {year_s}
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and mgroup.id = '{mgroup.id}'
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and qmq.val_avg is not NULL
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and qmq.num_test is not NULL
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and qmq.num_ok is not NULL
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GROUP BY mgroup."id", mtma."id", qmt."id", mgroup.sort, mtma.sort, qmt.sort
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ORDER BY mgroup.sort, mtma.sort, qmt.sort
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"""
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res5 = query_all_dict(sql_q5)
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enstat, _ = EnStat.objects.get_or_create(type="year_s", mgroup=mgroup, year_s=year_s,
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defaults={'type': 'year_s', 'mgroup': mgroup, 'year_s': year_s})
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enstat.qua_data = res5
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enstat.save(update_fields=['qua_data'])
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