449 lines
23 KiB
Python
449 lines
23 KiB
Python
# Create your tasks here
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from __future__ import absolute_import, unicode_literals
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from apps.utils.tasks import CustomTask
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from celery import shared_task, group, chain
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from apps.utils.sql import DbConnection
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from server.settings import get_sysconfig, update_sysconfig
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from django.core.cache import cache
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from apps.enm.models import MpLog, Mpoint, MpointStat, EnStat
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from apps.wpm.models import SfLog, StLog
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import datetime
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from django.db.models import Sum, Avg
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from dateutil import tz
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from django.conf import settings
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from apps.wpm.services import make_sflogs
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from apps.mtm.models import Mgroup, Material
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from apps.fim.services import get_cost_unit, get_price_unit
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from apps.fim.models import Fee
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from django.core.cache import cache
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from apps.enm.services import translate_eval_formula
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import logging
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from django.db.models import F
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from apps.wpm.services import get_pcoal_val
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myLogger = logging.getLogger('log')
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def get_current_and_previous_time():
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now = datetime.datetime.now()
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pre = now - datetime.timedelta(hours=1)
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return now, pre
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@shared_task(base=CustomTask)
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def get_tag_val():
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config = get_sysconfig()
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with DbConnection(config['enm']['db_host'], config['enm']['db_user'], config['enm']['db_password'], config['enm']['db_database']) as cursor:
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last_tag_id = config['enm'].get('last_tag_id', None)
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if not last_tag_id:
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mr = MpLog.objects.all().order_by('-tag_update', 'tag_id').first()
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if mr is None:
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last_tag_id = 0
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else:
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last_tag_id = mr.tag_id
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update_sysconfig({'enm': {'last_tag_id': last_tag_id}})
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cursor.execute("select id, val, tag_code, update_time from tag_value where id > %s order by id", (last_tag_id))
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results = cursor.fetchall() # 获取数据后保存至本地
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for row in results:
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mr_one = MpLog()
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mr_one.tag_id, mr_one.tag_val, mr_one.tag_code, mr_one.tag_update = row
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mr_one.mpoint, _ = Mpoint.objects.get_or_create(code=mr_one.tag_code, defaults={'name': mr_one.tag_code, 'code': mr_one.tag_code, 'unit': 'unknown'})
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mr_one.save()
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last_tag_id = mr_one.tag_id
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update_sysconfig({'enm': {'last_tag_id': last_tag_id}})
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@shared_task(base=CustomTask)
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def cal_mpointstat_hour(mpointId: str, year: int, month: int, day: int, hour: int):
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"""
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计算某一测点, 某一时间点某一小时的统计值
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"""
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mpoint = Mpoint.objects.get(id=mpointId)
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mytz = tz.gettz(settings.TIME_ZONE)
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dt = datetime.datetime(year=year, month=month, day=day, hour=hour, tzinfo=mytz)
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if mpoint.material: # 如果计量的是物料
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params = {'mpoint': mpoint, 'type': 'hour'}
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params['year'], params['month'], params['day'], params['hour'] = year, month, day, hour
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val = 0
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if mpoint.formula:
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formular = mpoint.formular
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try:
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val = translate_eval_formula(formular, year, month, day, hour)
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except:
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myLogger.error('公式执行错误:{}-{}'.format(mpoint.id, formular), exc_info=True)
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raise
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else:
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mrs = MpLog.objects.filter(
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mpoint=mpoint,
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tag_update__year=params['year'],
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tag_update__month=params['month'],
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tag_update__day=params['day'],
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tag_update__hour= params['hour']).order_by('tag_update')
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if mrs.exists():
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val = mrs.last().tag_val - mrs.first().tag_val
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ms, _ = MpointStat.objects.get_or_create(**params, defaults=params)
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ms.val = val
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ms.save()
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# 更新更高级别的值
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sum_dict_day = MpointStat.objects.filter(type='hour', mpoint=mpoint, year=year, month=month, day=day).aggregate(sum=Sum('val'))
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params_day = {'type':'day', 'mpoint': mpoint, 'year': year, 'month': month, 'day': day}
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ms_day, _ = MpointStat.objects.get_or_create(**params_day, defaults=params_day)
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ms_day.val = sum_dict_day['sum']
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ms_day.save()
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sum_dict_month = MpointStat.objects.filter(type='day', mpoint=mpoint, year=year, month=month).aggregate(sum=Sum('val'))
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params_month = {'type':'month', 'mpoint': mpoint, 'year': year, 'month': month}
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ms_month, _ = MpointStat.objects.get_or_create(**params_month, defaults=params_month)
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ms_month.val = sum_dict_month['sum']
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ms_month.save()
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sum_dict_year = MpointStat.objects.filter(type='month', mpoint=mpoint, year=year).aggregate(sum=Sum('val'))
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params_year = {'type':'year', 'mpoint': mpoint, 'year': year}
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ms_year, _ = MpointStat.objects.get_or_create(**params_year, defaults=params_year)
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ms_year.val = sum_dict_year['sum']
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ms_year.save()
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if mpoint.mgroups_allocate: # 如果有分配系数
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for allocate in mpoint.mgroups_allocate:
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mgroup = Mgroup.objects.get(id=allocate['mgroup'])
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ratio = allocate['ratio']
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# 查找并绑定值班记录
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sflog = SfLog.objects.filter(start_time__lte=dt, end_time__gt=dt, mgroup=mgroup).first()
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if sflog is None: # 需要创建值班记录
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make_sflogs(mgroup=mgroup, start_date=(dt-datetime.timedelta(days=1)).date(), end_date=dt.date())
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sflog = SfLog.objects.filter(start_time__lte=dt, end_time__gt=dt, mgroup=mgroup).first()
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year_s, month_s, day_s = sflog.get_ymd
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params_hour_s = {'type': 'hour_s', 'mpoint': mpoint, 'sflog': sflog, 'mgroup': mgroup, 'year': year, 'month': month, 'day': day, 'year_s': year_s, 'month_s': month_s, 'day_s': day_s, 'hour': hour}
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ms_hour_s, _ = MpointStat.objects.get_or_create(**params_hour_s, defaults=params_hour_s)
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ms_hour_s.val = ms.val*ratio
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ms_hour_s.save()
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# 开始往上计算
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sum_dict_sflog_s = MpointStat.objects.filter(type='hour_s', mpoint=mpoint, year_s=year_s, month_s=month_s, day_s=day_s).aggregate(sum=Sum('val'))
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params_sflog_s = {'type':'sflog', 'mpoint': mpoint, 'sflog': sflog, 'year_s': year_s, 'month_s': month_s, 'day_s': day_s, 'mgroup': mgroup}
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ms_sflog_s, _ = MpointStat.objects.get_or_create(**params_sflog_s, defaults=params_sflog_s)
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ms_sflog_s.val = sum_dict_sflog_s['sum']
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ms_sflog_s.save()
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next_cal_dict = [mpoint.material.id, sflog.id, year, month, day, hour, year_s, month_s, day_s]
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if next_cal_dict == cache.get('enm_cal_dict', None):
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next_cal = 0
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else:
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next_cal = 1
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cache.set('enm_cal_dict', next_cal_dict, 60)
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cal_mpointstat_manual(mpoint.id, sflog.id, mgroup.id, year, month, day, hour, year_s, month_s, day_s, next_cal)
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@shared_task(base=CustomTask)
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def cal_mpointstats(is_now=1, year=None, month=None, day=None, hour=None):
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"""
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计算所有自动采集测点的统计值，默认当前小时, 可手动传入时间
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"""
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if year and month and day and hour:
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pass
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else:
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now, pre = get_current_and_previous_time()
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if is_now:
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year, month, day, hour = now.year, now.month, now.day, now.hour
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else:
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year, month, day, hour = pre.year, pre.month, pre.day, pre.hour
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mgroups = Mgroup.objects.exclude(product=None).order_by('sort') # 必须要进行排序, 因为有的产量是经过计算而得的
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# 先统计自动采集的产量值
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caled_mpointids = []
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for mgroup in mgroups:
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product = mgroup.product
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mpoints = Mpoint.objects.filter(material=product, is_auto=True)
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for ind, item in enumerate(mpoints):
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caled_mpointids.append(item.id)
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cal_mpointstat_hour(item.id, year, month, day, hour)
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# 统计其他测点
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mpoints = Mpoint.objects.filter(is_auto=True).exclude(id__in=caled_mpointids).order_by('material', 'mgroup')
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for i in mpoints:
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cal_mpointstat_hour(i.id, year, month, day, hour)
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@shared_task(base=CustomTask)
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def cal_mpointstat_manual(mpointId: str, sflogId: str, mgroupId: str, year: int, month: int, day: int, hour: int, year_s: int, month_s: int, day_s: int, next_cal=0):
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"""
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手动录入的测点数据进行往上统计，一级一级往上
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"""
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mpoint = Mpoint.objects.get(id=mpointId)
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mgroup = Mgroup.objects.get(id=mgroupId)
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sum_dict_day_s = MpointStat.objects.filter(type='sflog', mpoint=mpoint, year_s=year_s, month_s=month_s, day_s=day_s, mgroup=mgroup).aggregate(sum=Sum('val'))
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params_day_s = {'type':'day_s', 'mpoint': mpoint, 'year_s': year_s, 'month_s': month_s, 'day_s': day_s, 'mgroup': mgroup}
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ms_day_s, _ = MpointStat.objects.get_or_create(**params_day_s, defaults=params_day_s)
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ms_day_s.val = sum_dict_day_s['sum']
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ms_day_s.save()
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if mpoint.ep_monitored:
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if mpoint.material and mpoint.material.code == 'elec' and mpoint.ep_monitored.power_kw >= 100: # 统计班月数据使用的
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sflog = SfLog.objects.get(id=sflogId)
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team = sflog.team
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sum_dict_day_st = MpointStat.objects.filter(type='sflog', mpoint=mpoint, year_s=year_s, month_s=month_s, sflog__team=team).aggregate(sum=Sum('val'))
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params_day_s = {'type':'month_st', 'mpoint': mpoint, 'year_s': year_s, 'month_s': month_s, 'mgroup': mgroup, 'team': team}
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ms_day_s, _ = MpointStat.objects.get_or_create(**params_day_s, defaults=params_day_s)
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ms_day_s.val = sum_dict_day_st['sum']
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ms_day_s.save()
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sum_dict_month_s = MpointStat.objects.filter(type='day_s', mpoint=mpoint, year_s=year_s, month_s=month_s, mgroup=mgroup).aggregate(sum=Sum('val'))
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params_month_s = {'type':'month_s', 'mpoint': mpoint, 'year_s': year_s, 'month_s': month_s, 'mgroup': mgroup}
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ms_month_s, _ = MpointStat.objects.get_or_create(**params_month_s, defaults=params_month_s)
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ms_month_s.val = sum_dict_month_s['sum']
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ms_month_s.save()
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sum_dict_year_s = MpointStat.objects.filter(type='month_s', mpoint=mpoint, year_s=year_s, mgroup=mgroup).aggregate(sum=Sum('val'))
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params_year_s = {'type':'year_s', 'mpoint': mpoint, 'year_s': year_s, 'mgroup': mgroup}
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ms_year_s, _ = MpointStat.objects.get_or_create(**params_year_s, defaults=params_year_s)
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ms_year_s.val = sum_dict_year_s['sum']
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ms_year_s.save()
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if next_cal: # 二次计算
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if hour:
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compute_enstat('hour_s', sflogId, mgroupId, year, month, day, hour, year_s, month_s, day_s)
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else:
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compute_enstat('sflog', sflogId, mgroupId, year, month, day, hour, year_s, month_s, day_s)
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types_list = ['hour_s', 'sflog', 'day_s', 'month_st', 'month_s', 'year_s']
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def compute_enstat(type, sflogId, mgroupId, year, month, day, hour, year_s, month_s, day_s, cascade=True):
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"""
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计算能源数据统计
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"""
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if cascade:
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if type in types_list:
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start_index = types_list.index(type)
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new_types_list = types_list[start_index:]
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for type in new_types_list:
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compute_enstat(type, sflogId, mgroupId, year, month, day, hour, year_s, month_s, day_s, False)
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return
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mgroup = Mgroup.objects.get(id=mgroupId)
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sflog = SfLog.objects.get(id=sflogId)
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team = sflog.team
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if sflog:
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year_s, month_s, day_s = sflog.get_ymd
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if type == 'hour_s':
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enstat, _ = EnStat.objects.get_or_create(type="hour_s", mgroup=mgroup, year=year, month=month, day=day, hour=hour,
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defaults={'type': 'hour_s', 'mgroup': mgroup, 'year_s': year_s, 'month_s': month_s, 'day_s': day_s,
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'year': year, 'month': month, 'day': day, 'hour': hour, 'sflog': sflog, 'team': team})
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elif type == 'sflog':
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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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elif type == 'day_s':
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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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elif type == 'month_st':
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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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elif type == 'month_s':
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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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elif type == 'year_s':
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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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# 消耗物料统计(包括电耗)
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input_materials = []
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has_product = False
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input_materials = mgroup.input_materials
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if mgroup.product:
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input_materials.insert(0, mgroup.product.id)
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has_product = True
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imaterial_cost_unit = 0
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imaterial_data = []
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for ind, mid in enumerate(input_materials):
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material = Material.objects.get(id=mid)
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if type == 'hour_s':
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mps = MpointStat.objects.filter(type='hour_s', mgroup=mgroup, year_s=year_s, month_s=month_s, day_s=day_s, hour=hour, mpoint__material=material)
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elif type == 'sflog':
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mps = MpointStat.objects.filter(type='sflog', sflog=sflog, mpoint__material=material)
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elif type == 'day_s':
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mps = MpointStat.objects.filter(type='day_s', mgroup=mgroup, year_s=year_s, month_s=month_s, day_s=day_s, mpoint__material=material)
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elif type == 'month_st':
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mps = MpointStat.objects.filter(type='sflog', mgroup=mgroup, sflog__team=team, year_s=year_s, month_s=month_s, mpoint__material=material)
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elif type == 'month_s':
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mps = MpointStat.objects.filter(type='month_s', mgroup=mgroup, year_s=year_s, month_s=month_s, mpoint__material=material)
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elif type == 'year_s':
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mps = MpointStat.objects.filter(type='year_s', mgroup=mgroup, year_s=year_s, mpoint__material=material)
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if mps.filter(mpoint__is_all=True).exists():
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mps = mps.filter(mpoint__is_all=True)
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amount_consume = mps.aggregate(sum=Sum('val'))['sum']
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if amount_consume is None:
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amount_consume = 0
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if ind == 0 and has_product: # 如果是产量
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enstat.total_production = amount_consume
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else:
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if material.code in ['pcoal', 'cair', 'steam']:
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price_unit = 0
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else:
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price_unit = get_price_unit(material, year_s, month_s)
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cost = amount_consume * price_unit
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try:
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cost_unit = cost/ enstat.total_production
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except:
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cost_unit = 0
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imaterial_cost_unit = imaterial_cost_unit + cost_unit
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if material.code == 'elec':
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enstat.elec_consume = amount_consume
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enstat.elec_coal_consume = enstat.elec_consume*0.1229/1000
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try:
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enstat.elec_consume_unit = enstat.elec_consume/enstat.total_production
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except:
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pass
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elif material.code == 'water':
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enstat.water = amount_consume
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elif material.code == 'pcoal':
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enstat.pcoal_consume = amount_consume
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elif material.code == 'cair':
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enstat.cair_consume = amount_consume
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elif material.code == 'steam':
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enstat.out_steam = amount_consume
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enstat.out_steam_coal = enstat.out_steam * 128.6 / 1000
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elif material.code == 'ccr':
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enstat.ccr_consume = amount_consume
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try:
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enstat.kiln_end_heat = enstat.total_production - enstat.ccr_consume
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except:
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pass
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imaterial_item = {'material': mid, 'material_name': material.name, 'material_code': material.code, 'material_type': material.type, 'price_unit': price_unit, 'amount_consume': amount_consume, 'cost': cost, 'cost_unit': cost_unit}
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imaterial_data.append(imaterial_item)
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enstat.imaterial_data = imaterial_data
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# 其他成本数据
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other_cost_data = []
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other_cost_unit = 0
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fee_qs = Fee.objects.order_by('sort')
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for fee in fee_qs:
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item = {'element': fee.element, 'cate': fee.cate, 'name': fee.name, 'id': fee.id}
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item['cost_unit'] = get_cost_unit(mgroup, fee, year_s, month_s)
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other_cost_unit = other_cost_unit + item['cost_unit']
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other_cost_data.append(item)
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enstat.production_cost_unit = imaterial_cost_unit + other_cost_unit
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if enstat.mgroup.type == 'section':
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# 算能耗
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if enstat.mgroup.name != '回转窑':
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try:
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enstat.en_consume_unit = enstat.elec_coal_consume / enstat.total_production
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except:
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pass
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# 计算一些其他数据
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if type == 'month_sf': # 如果计算的是班月，把主要设备电耗数据拉过来
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res = MpointStat.objects.filter(year_s=year_s, month_s=month_s, team=team, mgroup=mgroup, mpoint__ep_monitored__power_kw__gte=100).annotate(
|
|
equipment=F('mpoint__ep_monitored__id', equipment_name=F('mpoint__ep_monitored__name')), consume=F('val')).values('equipment', 'equipment_name', 'consume')
|
|
res = list(res)
|
|
for item in res:
|
|
try:
|
|
item['consume_unit'] = item['consume'] / enstat.total_production
|
|
except:
|
|
pass
|
|
enstat.equip_elec_data = res
|
|
|
|
|
|
if enstat.mgroup.name == '回转窑': # 算单位产品(综合电耗/标煤耗/综合能耗)
|
|
# 综合电耗
|
|
if enstat.type in ['hour_s', 'day_s', 'year_s', 'month_s']:
|
|
pre_enstat = EnStat.objects.filter(type=enstat.type, year_s=enstat.year_s, month_s=enstat.month_s, day_s=enstat.day_s, hour=enstat.hour, mgroup__name='原料磨').first()
|
|
if pre_enstat:
|
|
try:
|
|
enstat.celec_consume_unit = enstat.elec_consume_unit + 1.45*pre_enstat.elec_consume_unit
|
|
except:
|
|
pass
|
|
# 算标煤耗
|
|
if type in ['hour_s', 'day_s']:
|
|
pcoal_val = get_pcoal_val(enstat.year_s, enstat.month_s, enstat.day_s)
|
|
if pcoal_val:
|
|
try:
|
|
enstat.pcoal_coal_consume = enstat.pcoal_consume * pcoal_val/7000
|
|
enstat.coal_consume_unit = enstat.pcoal_coal_consume /enstat.total_production
|
|
except:
|
|
pass
|
|
elif type == 'month_st':
|
|
try:
|
|
enstat.coal_consume_unit = EnStat.objects.filter(type='day_s', mgroup=enstat.mgroup, year_s=year_s, month_s=month_s, team=enstat.team).annotate(avg=Avg('coal_consume_unit'))['avg']
|
|
except:
|
|
pass
|
|
elif type == 'month_s':
|
|
try:
|
|
enstat.coal_consume_unit = EnStat.objects.filter(type='day_s', mgroup=enstat.mgroup, year_s=year_s, month_s=month_s).annotate(avg=Avg('coal_consume_unit'))['avg']
|
|
except:
|
|
pass
|
|
elif type == 'year_s':
|
|
try:
|
|
enstat.coal_consume_unit = EnStat.objects.filter(type='day_s', mgroup=enstat.mgroup, year_s=year_s).annotate(avg=Avg('coal_consume_unit'))['avg']
|
|
except:
|
|
pass
|
|
# 综合能耗
|
|
try:
|
|
enstat.cen_consume_unit = enstat.coal_consume_unit + 0.1229 * enstat.elec_consume_unit
|
|
except:
|
|
pass
|
|
|
|
if enstat.mgroup.name == '水泥磨' and enstat.type not in ['month_st', 'sflog']:
|
|
pre_enstat = EnStat.objects.filter(type=enstat.type, year_s=enstat.year_s, month_s=enstat.month_s, day_s=enstat.day_s, hour=enstat.hour, mgroup__name='回转窑').first()
|
|
if pre_enstat:
|
|
try:
|
|
enstat.cen_consume_unit = enstat.elec_consume_unit*0.1229 + 0.7*pre_enstat.cen_consume_unit
|
|
except:
|
|
pass
|
|
|
|
# 运转时长相关
|
|
if type != 'hour_s':
|
|
enstat.total_hour_now, enstat.shut_hour = get_total_hour_now_and_shut_hour(enstat)
|
|
enstat.run_hour = enstat.total_hour_now - enstat.shut_hour
|
|
enstat.run_rate = (enstat.run_hour / enstat.total_hour_now)*100
|
|
enstat.production_hour = enstat.total_production / enstat.total_hour_now
|
|
|
|
enstat.save()
|
|
|
|
|
|
def get_total_hour_now_and_shut_hour(enstat: EnStat):
|
|
from apps.wpm.models import SfLog
|
|
# if enstat.type == 'hour_s':
|
|
# # 找到停机记录，并划分到该小时
|
|
# end_time = datetime.datetime(enstat.year, enstat.month, enstat.day, enstat.hour)
|
|
# start_time = end_time - datetime.timedelta(hours=1)
|
|
# sts = StLog.objects.filter(mgroup=enstat.mgroup)
|
|
# sts = (sts.filter(start_time__gt=start_time, start_time__lt=end_time)|sts.filter(start_time__lt=start_time, end_time=None)|sts.filter(end_time__gt=start_time, end_time__lt=end_time)).distinct()
|
|
# shut_hour = 0
|
|
# for i in sts:
|
|
# if i.end_time is None:
|
|
# run_hour = 0
|
|
# if i.start_time > start_time:
|
|
# run_hour = (i.start_time - start_time).total_seconds/3600
|
|
# shut_hour = 1 - run_hour
|
|
# shut_hour = shut_hour +
|
|
# return 1, 0
|
|
if enstat.type == 'sflog':
|
|
sflog = enstat.sflog
|
|
return sflog.total_hour_now, sflog.shut_hour
|
|
elif enstat.type == 'day_s':
|
|
res = SfLog.objects.filter(end_time__year=enstat.year_s, end_time__month=enstat.month_s, end_time__day=enstat.day_s, mgroup=enstat.mgroup).annotate(
|
|
sum1 = Sum('total_hour_now'),
|
|
sum2 = Sum('shut_hour')
|
|
)
|
|
return res['sum1'] if res['sum1'] else 0, res['sum2'] if res['sum2'] else 0
|
|
elif enstat.type == 'month_st':
|
|
res = SfLog.objects.filter(end_time__year=enstat.year_s, end_time__month=enstat.month_s, mgroup=enstat.mgroup, team=enstat.team).annotate(
|
|
sum1 = Sum('total_hour_now'),
|
|
sum2 = Sum('shut_hour')
|
|
)
|
|
return res['sum1'] if res['sum1'] else 0, res['sum2'] if res['sum2'] else 0
|
|
elif enstat.type == 'month_s':
|
|
res = SfLog.objects.filter(end_time__year=enstat.year_s, end_time__month=enstat.month_s, mgroup=enstat.mgroup).annotate(
|
|
sum1 = Sum('total_hour_now'),
|
|
sum2 = Sum('shut_hour')
|
|
)
|
|
return res['sum1'] if res['sum1'] else 0, res['sum2'] if res['sum2'] else 0
|
|
elif enstat.type == 'year_s':
|
|
res = SfLog.objects.filter(end_time__year=enstat.year_s, mgroup=enstat.mgroup).annotate(
|
|
sum1 = Sum('total_hour_now'),
|
|
sum2 = Sum('shut_hour')
|
|
)
|
|
return res['sum1'] if res['sum1'] else 0, res['sum2'] if res['sum2'] else 0 |