1024 lines
52 KiB
Python
1024 lines
52 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
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from apps.enm.models import MpLogx, Mpoint, MpointStat, EnStat, EnStat2, Xscript
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from apps.wpm.models import SfLog
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import datetime
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from django.db.models import Q
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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 get_sflog
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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 apps.enm.services import translate_eval_formula
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import logging
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from server.settings import get_sysconfig, update_sysconfig
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from django.db.models import F
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from apps.wpm.services import get_pcoal_heat
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from django.utils import timezone
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from django.db.models import Max
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from apps.third.king.k import kingClient
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from apps.third.king.king_api import kapis
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from apps.enm.services import insert_mplogx_from_king_rest_chunk, MpointCache
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from django.utils.timezone import localtime
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from apps.wpm.tasks import get_total_sec_now, cal_exp_duration_sec
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from apps.utils.sql import DbConnection
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from apps.enm.services import db_insert_mplogx_batch
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from apps.enm.xscript import main
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from django.core.exceptions import ObjectDoesNotExist
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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 insert_mplogx_from_xscript(xscript_id):
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xscript = Xscript.objects.get(id=xscript_id)
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mcodes_list = Mpoint.objects.filter(enabled=True).values_list('code', flat=True)
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if mcodes_list:
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main(xscript, mcodes_list)
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@shared_task(base=CustomTask)
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def db_insert_mplogx(limit:bool=True):
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"""
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从数据库转存到超表
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"""
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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 last_tag_id is None:
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raise Exception("last_tag_id is None")
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cursor.execute("select count(id) from tag_value where id > %s", (last_tag_id))
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count = cursor.fetchone()[0]
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if limit and count > 400:
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raise Exception("db inset count > 400")
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cursor.execute(
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"select id, val, tag_code, update_time from tag_value where id > %s order by id, update_time", (last_tag_id, ))
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rows = cursor.fetchall() # 获取数据后保存至本地
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if rows:
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last_tag_id = rows[-1][0]
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db_insert_mplogx_batch(rows)
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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 db_ins_mplogx():
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"""
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从数据库转存到超表
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"""
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config = get_sysconfig()
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with DbConnection(config['enm1']['db_host'], config['enm1']['db_user'], config['enm1']['db_password'], config['enm1']['db_database1']) as cursor:
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bill_date = config['enm1'].get('bill_date', None)
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if bill_date is None:
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raise Exception("bill_date is None")
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query = """
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SELECT id, de_real_quantity, CONCAT('x', inv_name) AS inv_name, bill_date
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FROM sa_weigh_view
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WHERE bill_date > %s and de_real_quantity > 0
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ORDER BY bill_date
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"""
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cursor.execute(query, (bill_date,))
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rows = cursor.fetchall() # 获取数据后保存至本地
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if rows:
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bill_date = rows[-1][-1]
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db_insert_mplogx_batch(rows)
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update_sysconfig({'enm1': {'bill_date': str(bill_date)}})
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# @shared_task(base=CustomTask)
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# def mpoint_val_on_change(mpLogId: str):
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# """测点值变化的时候执行任务(废弃)
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# """
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# mplog = MpLog.objects.get(id=mpLogId)
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# mpoint = mplog.mpoint
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# module, func = mpoint.func_on_change.rsplit(".", 1)
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# m = importlib.import_module(module)
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# f = getattr(m, func)
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# f(mplog) # 同步执行
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@shared_task(base=CustomTask)
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def cal_mpointstats_duration(start_time: str, end_time: str, m_code_list=[], cal_attrs=[]):
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"""
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重跑某一段时间的任务
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"""
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mytz = tz.gettz(settings.TIME_ZONE)
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start_time = datetime.datetime.strptime(start_time, "%Y-%m-%d %H:%M:%S")
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start_time.replace(tzinfo=mytz)
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end_time = datetime.datetime.strptime(end_time, "%Y-%m-%d %H:%M:%S")
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start_time.replace(tzinfo=mytz)
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current_time = start_time
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while current_time <= end_time:
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year, month, day, hour = current_time.year, current_time.month, current_time.day, current_time.hour
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cal_mpointstats(0, year, month, day, hour, m_code_list, cal_attrs)
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current_time += datetime.timedelta(hours=1)
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def update_mpoint_val(month, hour):
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"""
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high:用电高峰时段8小时：8：00--11：00， 19：00--24：00 更新val_level 为 high
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"""
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if hour in [8, 9, 10, 19, 20, 21, 22, 23]:
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high_time_ranges = [
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(8, 11), # 上午高峰（小时数范围）
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(19, 23), # 晚上高峰（小时数范围）
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]
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# 构建查询条件
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time_conditions = Q()
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for start_time, end_time in high_time_ranges:
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time_conditions |= Q(hour__gte=start_time, hour__lt=end_time)
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MpointStat.objects.filter(
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type="hour",
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mpoint__material__name='动力电'
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).filter(time_conditions).update(val_level="high")
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"""
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flat:用电平谷时段8小时： 11：00--13：00， 17：00--19：00 更新val_level 为 flat
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"""
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if hour in [11, 12, 17, 18, 0, 1, 2, 3]:
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flat_time_ranges = [
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(11, 13), # 上午平谷
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(17, 19), # 晚上平谷
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(0, 4),
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]
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# 构建查询条件
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time_conditions = Q()
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for start_time, end_time in flat_time_ranges:
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time_conditions |= Q(hour__gte=start_time, hour__lt=end_time)
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MpointStat.objects.filter(
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type="hour", mpoint__material__name='动力电').filter(time_conditions).update(val_level="flat")
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"""
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low:用电低谷时段8小时： 4：00--8：00, 13:00--17：00 更新val_level 为 low
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"""
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if hour in [4, 5, 6, 7, 13, 14, 15, 16]:
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low_time_ranges = [
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(4, 8), # 上午低谷
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(13, 17), # 晚上低谷
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]
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# 构建查询条件
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time_conditions = Q()
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for start_time, end_time in low_time_ranges:
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time_conditions |= Q(hour__gte=start_time, hour__lt=end_time)
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MpointStat.objects.filter(
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type="hour", mpoint__material__name='动力电').filter(time_conditions).update(val_level="low")
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"""
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low:用电深谷时段2小时： 5，6，7，8，月份 14：00--16：00 更新val_level 为 deep
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"""
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if month in [5, 6, 7, 8] and hour in [14, 15]:
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deep_months = [5, 6, 7, 8]
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deep_time_ranges = [
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(14, 16), # 14：00--16：00
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]
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# 构建查询条件
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time_conditions = Q()
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for start_time, end_time in deep_time_ranges:
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time_conditions |= Q(hour__gte=start_time, hour__lt=end_time)
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MpointStat.objects.filter(
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type="hour",
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mpoint__material__name='动力电',
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month__in=deep_months,
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).filter(time_conditions).update(val_level="deep")
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"""
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peak:用电高峰 1，11，12月份 19：00-21：00 -- 7 月份 21：00-23：00 更新val_level 为 peak
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"""
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if (month in [1, 11, 12] and hour in [19, 20, 21]) or (month == 7 and hour in [21, 22]):
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peak_months = {
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(1, 11, 12): (19, 21),
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(7,): (21, 23)
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}
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for months, time_range in peak_months.items():
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start_time, end_time = time_range
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MpointStat.objects.filter(
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type="hour",
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month__in=months,
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mpoint__material__name='动力电',
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hour__gte = start_time,
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hour__lt = end_time,
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).update(val_level="peak")
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return ''
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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, cascade=True, sflog_hours=[]):
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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, minute=0, second=0, tzinfo=mytz) # 整点时间
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dt_hour_p= dt - datetime.timedelta(hours=1) # 上个整点
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dt_hour_n= dt + datetime.timedelta(hours=1) # 下个整点
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if (mpoint.material or mpoint.type == Mpoint.MT_COMPUTE) and mpoint.val_type in ['float', 'int']: # 如果计量的是物料 # 累计量 有的会清零，需要额外处理(还未做)
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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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val_type = mpoint.val_type
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if mpoint.type == Mpoint.MT_AUTO:
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if mpoint.is_unit:
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val = MpLogx.objects.filter(mpoint=mpoint, timex__gte=dt, timex__lt=dt_hour_n).aggregate(sum=Sum(f'val_{mpoint.val_type}'))["sum"]
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if val is None:
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val = 0
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else:
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mrs0 = MpLogx.objects.filter(mpoint=mpoint, timex__gte=dt_hour_p, timex__lte=dt).order_by("timex")
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mrs = MpLogx.objects.filter(mpoint=mpoint, timex__gte=dt, timex__lte=dt_hour_n).order_by("timex")
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if mrs0.exists() and mrs.exists():
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last_val = getattr(mrs.last(), f'val_{val_type}')
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first_val = getattr(mrs0.last(), f'val_{val_type}')
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if last_val >= first_val or first_val == 0:
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val = last_val - first_val
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elif first_val - last_val > 0 and (first_val - last_val)/first_val < 0.01:
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val = 0
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myLogger.info(f'{mpoint.code}--{dt}--{last_val}--{first_val}--last_val 小于 first_val')
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else:
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# 这里判断有可能清零了
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max_val = max(mrs.aggregate(max=Max(f'val_{val_type}'))["max"], first_val)
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myLogger.info(f'{mpoint.code}--{dt}--{last_val}--{first_val}--清零')
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val = max_val - first_val + last_val
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# if mpoint.code == 'x水泥+P.O42.5 散装':
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elif mpoint.type == Mpoint.MT_COMPUTE and mpoint.formula:
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formula = mpoint.formula
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val = translate_eval_formula(formula, year, month, day, hour)
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else:
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return
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ms, _ = MpointStat.objects.get_or_create(**params, defaults=params)
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ms.val = ms.val_correct if ms.val_correct is not None else val
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update_mpoint_val(month, hour)
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# ms.val_level
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ms.save()
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# 更新更高级别的值
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if cascade or hour == 23:
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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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if ms_day.val_correct is not None:
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ms_day.val = ms_day.val_correct
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else:
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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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ms_day.val = sum_dict_day['sum'] if sum_dict_day['sum'] is not None else 0
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ms_day.val_origin = ms_day.val
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ms_day.save()
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if cascade or day in [28, 29, 30, 31]:
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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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if ms_month.val_correct is not None:
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ms_month.val = ms_month.val_correct
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else:
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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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ms_month.val = sum_dict_month['sum'] if sum_dict_month['sum'] is not None else 0
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ms_month.val_origin = ms_month.val
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ms_month.save()
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if cascade or month == 12:
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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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if ms_year.val_correct is not None:
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ms_year.val = ms_year.val_correct
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else:
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sum_dict_year = MpointStat.objects.filter(type="month", mpoint=mpoint, year=year).aggregate(sum=Sum("val"))
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ms_year.val = sum_dict_year['sum'] if sum_dict_year['sum'] is not None else 0
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ms_year.val_origin = ms_year.val
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ms_year.save()
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mgroup = mpoint.mgroup
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if mgroup:
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sflog = get_sflog(mgroup, dt)
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if sflog is None:
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myLogger.error(f'{mgroup.name}--{dt}')
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year_s, month_s, day_s = sflog.get_ymd
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params_hour_s = {
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"type": "hour_s",
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"mpoint": mpoint,
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"sflog": sflog,
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"mgroup": mgroup,
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"year": year,
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"month": month,
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"day": day,
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"year_s": year_s,
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"month_s": month_s,
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"day_s": day_s,
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"hour": hour,
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}
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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_hour_s.val_correct if ms_hour_s.val_correct is not None else ms.val
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ms_hour_s.save()
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# 开始往上计算
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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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if ms_sflog_s.val_correct is not None:
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ms_sflog_s.val = ms_sflog_s.val_correct
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else:
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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, sflog=sflog).aggregate(sum=Sum("val"))
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ms_sflog_s.val = sum_dict_sflog_s['sum'] if sum_dict_sflog_s['sum'] is not None else 0
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ms_sflog_s.val_origin = ms_sflog_s.val
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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, 0)
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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, m_code_list=[], cal_attrs=[]):
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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, 可手动传入时间和测点编号集
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cal_attrs: 需要计算的属性，空列表默认计算所有属性["material", "pcoal", "run_hour"]
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"""
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if year and month and day and hour is not None:
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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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if m_code_list:
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mpoints1 = Mpoint.objects.filter(code__in=m_code_list)
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for item in mpoints1:
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cal_mpointstat_hour(item.id, year, month, day, hour)
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mpoints_related = Mpoint.objects.none()
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code2 = []
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for code in m_code_list:
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mpoints_related = mpoints_related | Mpoint.objects.filter(type=Mpoint.MT_COMPUTE, enabled=True, material__isnull=False, formula__contains='{' + code + '}')
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code2.extend(mpoints_related.values_list('code', flat=True))
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code2 = list(set(code2))
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for code in code2:
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mpoints_related = mpoints_related | Mpoint.objects.filter(type=Mpoint.MT_COMPUTE, enabled=True, material__isnull=False, formula__contains='{' + code + '}')
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mpoints_related = mpoints_related.distinct().order_by('report_sortstr', 'create_time')
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for item in mpoints_related:
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cal_mpointstat_hour(item.id, year, month, day, hour)
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else:
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# 先统计自动采集的测点
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mpoints_auto = Mpoint.objects.filter(type=Mpoint.MT_AUTO, enabled=True)
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# mpoints_without_formula_group = []
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for item in mpoints_auto:
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# mpoints_without_formula_group.append(cal_mpointstat_hour.s(item.id, year, month, day, hour))
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cal_mpointstat_hour(item.id, year, month, day, hour)
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# 再统计计算测点
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mpoints_compute = Mpoint.objects.filter(type=Mpoint.MT_COMPUTE, enabled=True).exclude(formula="").order_by('report_sortstr', 'create_time')
|
||
# mpoints_other_group = []
|
||
for item in mpoints_compute:
|
||
# mpoints_other_group.append(cal_mpointstat_hour.s(item.id, year, month, day, hour))
|
||
cal_mpointstat_hour(item.id, year, month, day, hour)
|
||
|
||
# 先调整一下班时间,以防计算错误
|
||
# 为了保持一致使用统计的时间点
|
||
nowx = timezone.now()
|
||
get_total_sec_now(now=nowx) # 再处理total_sec
|
||
cal_exp_duration_sec(now=nowx) # 先处理shut_sec
|
||
|
||
|
||
# 开始计算enstat
|
||
mgroups = Mgroup.objects.filter(need_enm=True).order_by("sort")
|
||
# mgroups_group = []
|
||
year_s, month_s, day_s = 0, 0, 0
|
||
for mgroup in mgroups:
|
||
# mgroups_group.append(cal_enstat.s('hour_s', None, mgroup.id, year, month, day, hour, None, None, None, True, ['material', 'run_hour']))
|
||
year_s, month_s, day_s = cal_enstat("hour_s", None, mgroup.id, year, month, day, hour, None, None, None, True, cal_attrs)
|
||
|
||
# mgroups_t = mgroups.filter(name__in=['回转窑', '水泥磨'])
|
||
# mgroups_t_group = []
|
||
# for mgroup in mgroups_t:
|
||
# mgroups_t_group.append(cal_enstat.s('hour_s', None, mgroup.id, year, month, day, hour, None, None, None, True, ['pcoal']))
|
||
|
||
# 最后计算enstat2
|
||
cal_enstat2(type="day_s", year_s=year_s, month_s=month_s, day_s=day_s)
|
||
# task_chain = chain(group(mpoints_without_formula_group), group(mpoints_other_group), group(mgroups_group), group(mgroups_t_group), group([cal_enstat2.s(year_s=year, month_s=month)]))
|
||
# task_chain.delay()
|
||
if hour == 21:
|
||
enm_alarm.delay(year_s, month_s, day_s)
|
||
|
||
|
||
@shared_task(base=CustomTask)
|
||
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):
|
||
"""
|
||
手动录入的测点数据进行往上统计，一级一级往上
|
||
"""
|
||
mpoint = Mpoint.objects.get(id=mpointId)
|
||
mgroup = Mgroup.objects.get(id=mgroupId)
|
||
if sflogId:
|
||
params_day_s = {"type": "day_s", "mpoint": mpoint, "year_s": year_s, "month_s": month_s, "day_s": day_s, "mgroup": mgroup}
|
||
ms_day_s, _ = MpointStat.objects.get_or_create(**params_day_s, defaults=params_day_s)
|
||
if ms_day_s.val_correct is not None:
|
||
ms_day_s.val = ms_day_s.val_correct
|
||
else:
|
||
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"))
|
||
ms_day_s.val = sum_dict_day_s['sum'] if sum_dict_day_s['sum'] is not None else 0
|
||
ms_day_s.val_origin = ms_day_s.val
|
||
ms_day_s.save()
|
||
|
||
if day_s:
|
||
params_month_s = {"type": "month_s", "mpoint": mpoint, "year_s": year_s, "month_s": month_s, "mgroup": mgroup}
|
||
ms_month_s, _ = MpointStat.objects.get_or_create(**params_month_s, defaults=params_month_s)
|
||
if ms_month_s.val_correct is not None:
|
||
ms_month_s.val = ms_month_s.val_correct
|
||
else:
|
||
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"))
|
||
ms_month_s.val = sum_dict_month_s['sum'] if sum_dict_month_s['sum'] is not None else 0
|
||
ms_month_s.val_origin = ms_month_s.val
|
||
ms_month_s.save()
|
||
|
||
if month_s:
|
||
params_year_s = {"type": "year_s", "mpoint": mpoint, "year_s": year_s, "mgroup": mgroup}
|
||
ms_year_s, _ = MpointStat.objects.get_or_create(**params_year_s, defaults=params_year_s)
|
||
if ms_year_s.val_correct is not None:
|
||
ms_year_s.val = ms_year_s.val_correct
|
||
else:
|
||
sum_dict_year_s = MpointStat.objects.filter(type="month_s", mpoint=mpoint, year_s=year_s, mgroup=mgroup).aggregate(sum=Sum("val"))
|
||
ms_year_s.val = sum_dict_year_s['sum'] if sum_dict_year_s['sum'] is not None else 0
|
||
ms_year_s.val_origin = ms_year_s.val
|
||
ms_year_s.save()
|
||
|
||
if next_cal: # 计算工段级数据,手动录入时调用
|
||
start_cal_type = 'hour_s'
|
||
if hour:
|
||
start_cal_type = 'hour_s'
|
||
elif sflogId:
|
||
start_cal_type = 'sflog'
|
||
elif day_s:
|
||
start_cal_type = 'day_s'
|
||
elif month_s:
|
||
start_cal_type = 'month_s'
|
||
elif year_s:
|
||
start_cal_type = 'year_s'
|
||
cal_enstat(start_cal_type, sflogId, mgroupId, year, month, day, hour, year_s, month_s, day_s)
|
||
|
||
|
||
|
||
types_list = ["hour_s", "sflog", "day_s", "month_st", "month_s", "year_s"]
|
||
|
||
|
||
@shared_task(base=CustomTask)
|
||
def cal_enstat(type, sflogId, mgroupId, year, month, day, hour, year_s, month_s, day_s, cascade=True, cal_attrs=[]):
|
||
"""
|
||
计算能源数据统计
|
||
"""
|
||
if cascade:
|
||
if type in types_list:
|
||
start_index = types_list.index(type)
|
||
new_types_list = types_list[start_index:]
|
||
for type in new_types_list:
|
||
year_s, month_s, day_s = cal_enstat(type, sflogId, mgroupId, year, month, day, hour, year_s, month_s, day_s, False)
|
||
return year_s, month_s, day_s
|
||
if not cal_attrs:
|
||
this_cal_attrs = ["material", "pcoal", "run_hour"]
|
||
else:
|
||
this_cal_attrs = cal_attrs[:]
|
||
|
||
mgroup = Mgroup.objects.get(id=mgroupId)
|
||
sflog = None # 默认无班次
|
||
if sflogId:
|
||
sflog = SfLog.objects.get(id=sflogId)
|
||
elif year and month and day and hour is not None:
|
||
mytz = tz.gettz(settings.TIME_ZONE)
|
||
dt = datetime.datetime(year=year, month=month, day=day, hour=hour, tzinfo=mytz)
|
||
sflog = get_sflog(mgroup, dt)
|
||
team = None
|
||
if sflog:
|
||
year_s, month_s, day_s = sflog.get_ymd
|
||
team = sflog.team
|
||
# 如果没有班组,那么month_st无需计算
|
||
if team is None and type == "month_st":
|
||
return year_s, month_s, day_s
|
||
if type == "hour_s":
|
||
enstat, _ = EnStat.objects.get_or_create(
|
||
type="hour_s",
|
||
mgroup=mgroup,
|
||
year=year,
|
||
month=month,
|
||
day=day,
|
||
hour=hour,
|
||
defaults={"type": "hour_s", "mgroup": mgroup, "year_s": year_s, "month_s": month_s, "day_s": day_s, "year": year, "month": month, "day": day, "hour": hour, "sflog": sflog},
|
||
)
|
||
elif type == "sflog":
|
||
enstat, _ = EnStat.objects.get_or_create(type="sflog", sflog=sflog, defaults={"type": "sflog", "sflog": sflog, "mgroup": mgroup, "year_s": year_s, "month_s": month_s, "day_s": day_s})
|
||
elif type == "day_s":
|
||
enstat, _ = EnStat.objects.get_or_create(
|
||
type="day_s", mgroup=mgroup, year_s=year_s, month_s=month_s, day_s=day_s, defaults={"type": "day_s", "mgroup": mgroup, "year_s": year_s, "month_s": month_s, "day_s": day_s}
|
||
)
|
||
elif type == "month_st":
|
||
enstat, _ = EnStat.objects.get_or_create(
|
||
type="month_st", mgroup=mgroup, team=team, year_s=year_s, month_s=month_s, defaults={"type": "month_st", "mgroup": mgroup, "year_s": year_s, "month_s": month_s, "team": team}
|
||
)
|
||
elif type == "month_s":
|
||
enstat, _ = EnStat.objects.get_or_create(type="month_s", mgroup=mgroup, year_s=year_s, month_s=month_s, defaults={"type": "month_s", "mgroup": mgroup, "year_s": year_s, "month_s": month_s})
|
||
elif type == "year_s":
|
||
enstat, _ = EnStat.objects.get_or_create(type="year_s", mgroup=mgroup, year_s=year_s, defaults={"type": "year_s", "mgroup": mgroup, "year_s": year_s})
|
||
|
||
if "material" in this_cal_attrs:
|
||
# 消耗物料统计(包括电耗)
|
||
input_materials = []
|
||
input_materials = mgroup.input_materials
|
||
input_materials_dict = {}
|
||
has_p_cost = False
|
||
if mgroup.product:
|
||
input_materials_dict[mgroup.product.id] = "P"
|
||
if mgroup.product_cost:
|
||
input_materials_dict[mgroup.product_cost.id] = "P_COST"
|
||
has_p_cost = True
|
||
input_materials_dict.update({i : "M" for i in input_materials if i not in input_materials_dict})
|
||
imaterial_cost_unit = 0
|
||
imaterial_data = []
|
||
imaterial_data_dict = {}
|
||
for mid, mtype in input_materials_dict.items():
|
||
material = Material.objects.get(id=mid)
|
||
if type == "hour_s":
|
||
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)
|
||
elif type == "sflog":
|
||
mps = MpointStat.objects.filter(type="sflog", sflog=sflog, mpoint__material=material)
|
||
elif type == "day_s":
|
||
mps = MpointStat.objects.filter(type="day_s", mgroup=mgroup, year_s=year_s, month_s=month_s, day_s=day_s, mpoint__material=material)
|
||
elif type == "month_st":
|
||
mps = MpointStat.objects.filter(type="sflog", mgroup=mgroup, sflog__team=team, year_s=year_s, month_s=month_s, mpoint__material=material)
|
||
elif type == "month_s":
|
||
mps = MpointStat.objects.filter(type="month_s", mgroup=mgroup, year_s=year_s, month_s=month_s, mpoint__material=material)
|
||
elif type == "year_s":
|
||
mps = MpointStat.objects.filter(type="year_s", mgroup=mgroup, year_s=year_s, mpoint__material=material)
|
||
if mps.filter(mpoint__is_rep_mgroup=True).exists():
|
||
mps = mps.filter(mpoint__is_rep_mgroup=True)
|
||
amount_consume = mps.aggregate(sum=Sum("val"))["sum"]
|
||
if amount_consume is None:
|
||
amount_consume = 0
|
||
if mtype == "P": # 如果是产量
|
||
enstat.total_production = amount_consume
|
||
elif mtype == "P_COST": # 如果是产量(用于计算成本)
|
||
enstat.total_production_cost = amount_consume
|
||
else:
|
||
if material.code in ["cair", "steam"]:
|
||
price_unit = 0
|
||
else:
|
||
price_unit = get_price_unit(material, year_s, month_s)
|
||
cost = amount_consume * price_unit
|
||
try:
|
||
cost_unit = cost / enstat.total_production if has_p_cost is False else cost / enstat.total_production_cost
|
||
except ZeroDivisionError:
|
||
cost_unit = 0
|
||
imaterial_cost_unit = imaterial_cost_unit + cost_unit
|
||
if material.code == "elec":
|
||
enstat.elec_consume = amount_consume
|
||
enstat.elec_coal_consume = enstat.elec_consume * 0.1229 / 1000
|
||
try:
|
||
enstat.elec_consume_unit = enstat.elec_consume / enstat.total_production
|
||
except ZeroDivisionError:
|
||
enstat.elec_consume_unit = 0
|
||
elif material.code == "water":
|
||
enstat.water_consume = amount_consume
|
||
elif material.code == "pcoal":
|
||
enstat.pcoal_consume = amount_consume
|
||
elif material.code == "cair":
|
||
enstat.cair_consume = amount_consume
|
||
elif material.code == "steam":
|
||
enstat.out_steam = amount_consume
|
||
enstat.out_steam_coal = enstat.out_steam * 128.6 / 1000
|
||
elif material.code == "ccr":
|
||
enstat.ccr_consume = amount_consume
|
||
enstat.kiln_end_heat = enstat.total_production - enstat.ccr_consume
|
||
|
||
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,
|
||
}
|
||
imaterial_data.append(imaterial_item)
|
||
imaterial_data_dict.setdefault(material.name, imaterial_item)
|
||
enstat.imaterial_data = imaterial_data
|
||
enstat.imaterial_data_dict = imaterial_data_dict
|
||
# 其他成本数据
|
||
other_cost_data = []
|
||
other_cost_unit = 0
|
||
fee_qs = Fee.objects.order_by("sort")
|
||
for fee in fee_qs:
|
||
item = {"element": fee.element, "cate": fee.cate, "name": fee.name, "id": fee.id}
|
||
item["cost_unit"] = get_cost_unit(mgroup, fee, year_s, month_s)
|
||
other_cost_unit = other_cost_unit + item["cost_unit"]
|
||
other_cost_data.append(item)
|
||
enstat.other_cost_data = other_cost_data
|
||
enstat.production_cost_unit = imaterial_cost_unit + other_cost_unit
|
||
enstat.save()
|
||
if mgroup.cate == 'section':
|
||
# 更新所监测设备测点的total_production
|
||
total_production = enstat.total_production
|
||
if total_production == 0:
|
||
elec_consume_unit = 0
|
||
else:
|
||
elec_consume_unit = F("val") / total_production
|
||
MpointStat.objects.filter(
|
||
mgroup=enstat.mgroup, mpoint__material__code="elec", type=enstat.type, year_s=enstat.year_s, month_s=enstat.month_s, day_s=enstat.day_s, hour=enstat.hour
|
||
).update(total_production=total_production, elec_consume_unit=elec_consume_unit)
|
||
# 更新余热发电的production_elec_unit
|
||
if mgroup.name == "回转窑":
|
||
if enstat.total_production == 0:
|
||
production_elec_unit_yr = 0
|
||
else:
|
||
production_elec_unit_yr = F("total_production") / enstat.total_production
|
||
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="余热发电").update(
|
||
production_elec_unit=production_elec_unit_yr
|
||
)
|
||
|
||
# 其他一些触发计算
|
||
if mgroup.cate == "section":
|
||
if "material" in this_cal_attrs and mgroup.name != "回转窑":
|
||
try:
|
||
enstat.en_consume_unit = enstat.elec_coal_consume / enstat.total_production
|
||
except ZeroDivisionError:
|
||
enstat.en_consume_unit = 0
|
||
enstat.save()
|
||
# 计算一些其他数据
|
||
if type == "month_st" and "material" in this_cal_attrs: # 如果计算的是班月，把主要设备电耗数据拉过来, 方便查询
|
||
res = MpointStat.objects.filter(type='sflog', year_s=year_s, month_s=month_s, sflog__team=enstat.team, mpoint__material__code='elec', mpoint__ep_monitored__isnull=False).values(
|
||
equipment=F('mpoint__ep_monitored__id'), equipment_name=F('mpoint__ep_monitored__name')).annotate(consume=Sum('val'))
|
||
res = list(res)
|
||
for item in res:
|
||
try:
|
||
item['consume_unit'] = item['consume'] / enstat.total_production
|
||
except ZeroDivisionError:
|
||
item['consume_unit'] = None
|
||
enstat.equip_elec_data = res
|
||
enstat.save()
|
||
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()
|
||
pre_enstat2 = 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="煤磨").first()
|
||
if pre_enstat:
|
||
enstat.celec_consume_unit = enstat.elec_consume_unit + get_sysconfig('enm.enm_lhxs') * pre_enstat.elec_consume_unit
|
||
if pre_enstat2:
|
||
try:
|
||
pre_enstat2.production_elec_consume_unit = pre_enstat2.elec_consume / enstat.total_production
|
||
except ZeroDivisionError:
|
||
pre_enstat2.production_elec_consume_unit = 0
|
||
pre_enstat2.save(update_fields=["production_elec_consume_unit"])
|
||
enstat.celec_consume_unit += pre_enstat2.production_elec_consume_unit
|
||
enstat.save()
|
||
# 算总煤耗
|
||
if "pcoal" in this_cal_attrs:
|
||
if type in ["hour_s", "sflog", "day_s"]:
|
||
enstat.pcoal_heat = get_pcoal_heat(enstat.year_s, enstat.month_s, enstat.day_s)
|
||
enstat.pcoal_coal_consume = enstat.pcoal_consume * enstat.pcoal_heat / 29307.6
|
||
elif type == "month_st":
|
||
enstat.pcoal_coal_consume = EnStat.objects.filter(type="sflog", mgroup=enstat.mgroup, year_s=year_s, month_s=month_s, sflog__team=enstat.team).aggregate(
|
||
sum=Sum("pcoal_coal_consume")
|
||
)["sum"]
|
||
elif type == "month_s":
|
||
enstat.pcoal_coal_consume = EnStat.objects.filter(type="day_s", mgroup=enstat.mgroup, year_s=year_s, month_s=month_s).aggregate(sum=Sum("pcoal_coal_consume"))["sum"]
|
||
elif type == "year_s":
|
||
enstat.pcoal_coal_consume = EnStat.objects.filter(type="month_s", mgroup=enstat.mgroup, year_s=year_s).aggregate(sum=Sum("pcoal_coal_consume"))["sum"]
|
||
|
||
if enstat.pcoal_coal_consume is None:
|
||
enstat.pcoal_coal_consume = 0
|
||
|
||
# 算单位产品标煤耗
|
||
try:
|
||
enstat.coal_consume_unit = enstat.pcoal_coal_consume * 1000 / enstat.total_production
|
||
except ZeroDivisionError:
|
||
enstat.coal_consume_unit = 0
|
||
|
||
# 综合能耗
|
||
enstat.cen_consume_unit = enstat.coal_consume_unit + 0.1229 * enstat.elec_consume_unit
|
||
enstat.save()
|
||
elif enstat.mgroup.name == "水泥磨" and enstat.type not in ["month_st", "sflog"] and "pcoal" in this_cal_attrs:
|
||
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:
|
||
# 综合能耗
|
||
enstat.cen_consume_unit = enstat.elec_consume_unit * 0.1229 + 0.7 * pre_enstat.cen_consume_unit
|
||
enstat.save()
|
||
elif enstat.mgroup.name == '余热发电':
|
||
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:
|
||
# 吨熟料发电量
|
||
try:
|
||
enstat.production_elec_unit = enstat.total_production / pre_enstat.total_production
|
||
enstat.save()
|
||
except ZeroDivisionError:
|
||
enstat.production_elec_unit = 0
|
||
enstat.save()
|
||
# 运转时长相关
|
||
if type != "hour_s" and "run_hour" in this_cal_attrs:
|
||
enstat.total_sec_now, enstat.shut_sec = get_total_sec_now_and_shut_sec(enstat)
|
||
enstat.run_sec = enstat.total_sec_now - enstat.shut_sec if enstat.total_sec_now - enstat.shut_sec >0 else 0
|
||
try:
|
||
enstat.run_rate = (enstat.run_sec / enstat.total_sec_now) * 100
|
||
except ZeroDivisionError:
|
||
enstat.run_rate = 0
|
||
try:
|
||
enstat.production_hour = enstat.total_production * 3600 / enstat.run_sec
|
||
except ZeroDivisionError:
|
||
enstat.production_hour = 0
|
||
enstat.save()
|
||
enstat.save()
|
||
return year_s, month_s, day_s # 返回这个值主要为了全厂数据计算而用
|
||
|
||
|
||
def get_total_sec_now_and_shut_sec(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_sec_now, sflog.shut_sec
|
||
elif enstat.type == "day_s":
|
||
res = SfLog.objects.filter(work_date__year=enstat.year_s, work_date__month=enstat.month_s, work_date__day=enstat.day_s, mgroup=enstat.mgroup).aggregate(
|
||
sum1=Sum("total_sec_now"), sum2=Sum("shut_sec")
|
||
)
|
||
return res["sum1"] if res["sum1"] else 0, res["sum2"] if res["sum2"] else 0
|
||
elif enstat.type == "month_st":
|
||
res = SfLog.objects.filter(work_date__year=enstat.year_s, work_date__month=enstat.month_s, mgroup=enstat.mgroup, team=enstat.team).aggregate(
|
||
sum1=Sum("total_sec_now"), sum2=Sum("shut_sec")
|
||
)
|
||
return res["sum1"] if res["sum1"] else 0, res["sum2"] if res["sum2"] else 0
|
||
elif enstat.type == "month_s":
|
||
res = SfLog.objects.filter(work_date__year=enstat.year_s, work_date__month=enstat.month_s, mgroup=enstat.mgroup).aggregate(sum1=Sum("total_sec_now"), sum2=Sum("shut_sec"))
|
||
return res["sum1"] if res["sum1"] else 0, res["sum2"] if res["sum2"] else 0
|
||
elif enstat.type == "year_s":
|
||
res = SfLog.objects.filter(work_date__year=enstat.year_s, mgroup=enstat.mgroup).aggregate(sum1=Sum("total_sec_now"), sum2=Sum("shut_sec"))
|
||
return res["sum1"] if res["sum1"] else 0, res["sum2"] if res["sum2"] else 0
|
||
|
||
|
||
@shared_task(base=CustomTask)
|
||
def cal_enstat2(type: str, year_s: int, month_s: int, day_s: int, cascade=True):
|
||
if cascade:
|
||
if type == "day_s":
|
||
cal_enstat2("day_s", year_s, month_s, day_s, False)
|
||
cal_enstat2("month_s", year_s, month_s, day_s, False)
|
||
elif type == "month_s":
|
||
cal_enstat2("month_s", year_s, month_s, day_s, False)
|
||
else:
|
||
return
|
||
if type == "month_s":
|
||
enstat2, _ = EnStat2.objects.get_or_create(type="month_s", year_s=year_s, month_s=month_s, defaults={"year_s": year_s, "month_s": month_s, "type": "month_s"})
|
||
elif type == "day_s":
|
||
enstat2, _ = EnStat2.objects.get_or_create(type="day_s", year_s=year_s, month_s=month_s, day_s=day_s, defaults={"year_s": year_s, "month_s": month_s, "day_s": day_s, "type": "day_s"})
|
||
# enstat2 = EnStat2.objects.select_for_update().get(id=enstat2.id) # 加锁
|
||
try:
|
||
material_bulk_clinker = Material.objects.get(code="bulk_clinker") # 散装熟料
|
||
enstat2.bulk_clinker_price = get_price_unit(material_bulk_clinker, year_s, month_s)
|
||
except ObjectDoesNotExist:
|
||
enstat2.bulk_clinker_price = 0
|
||
try:
|
||
material_bulk_cement = Material.objects.get(code="bulk_cement") # 散装水泥
|
||
enstat2.bulk_cement_price = get_price_unit(material_bulk_cement, year_s, month_s)
|
||
except ObjectDoesNotExist:
|
||
enstat2.bulk_cement_price = 0
|
||
try:
|
||
material_bag_cement = Material.objects.get(code="bag_cement") # 袋装水泥
|
||
enstat2.bag_cement_price = get_price_unit(material_bag_cement, year_s, month_s)
|
||
except ObjectDoesNotExist:
|
||
enstat2.bag_cement_price = 0
|
||
|
||
|
||
if type == "month_s":
|
||
enstat2.bulk_cement_val = MpointStat.objects.filter(type="month_s", mpoint__material__code="bulk_cement", year_s=year_s, month_s=month_s).aggregate(sum=Sum("val"))["sum"]
|
||
elif type == "day_s":
|
||
enstat2.bulk_cement_val = MpointStat.objects.filter(type="day_s", mpoint__material__code="bulk_cement", year_s=year_s, month_s=month_s, day_s=day_s).aggregate(sum=Sum("val"))["sum"]
|
||
if enstat2.bulk_cement_val is None:
|
||
enstat2.bulk_cement_val = 0
|
||
|
||
if type == "month_s":
|
||
enstat2.bag_cement_val = MpointStat.objects.filter(type="month_s", mpoint__material__code='bag_cement', year_s=year_s, month_s=month_s).aggregate(sum=Sum("val"))["sum"]
|
||
elif type == "day_s":
|
||
enstat2.bag_cement_val = MpointStat.objects.filter(type="day_s", mpoint__material__code='bag_cement', year_s=year_s, month_s=month_s, day_s=day_s).aggregate(sum=Sum("val"))["sum"]
|
||
if enstat2.bag_cement_val is None:
|
||
enstat2.bag_cement_val = 0
|
||
|
||
|
||
if type == "month_s":
|
||
enstat2.bulk_clinker_val = MpointStat.objects.filter(type="month_s", mpoint__material__code='bulk_clinker', year_s=year_s, month_s=month_s).aggregate(sum=Sum("val"))["sum"]
|
||
elif type == "day_s":
|
||
enstat2.bulk_clinker_val = MpointStat.objects.filter(type="day_s", mpoint__material__code='bulk_clinker', year_s=year_s, month_s=month_s, day_s=day_s).aggregate(sum=Sum("val"))["sum"]
|
||
if enstat2.bulk_clinker_val is None:
|
||
enstat2.bulk_clinker_val = 0
|
||
|
||
enstat2.industry_total_val = (
|
||
enstat2.bulk_cement_val * enstat2.bulk_cement_price +
|
||
enstat2.bag_cement_val * enstat2.bag_cement_price +
|
||
enstat2.bulk_clinker_val * enstat2.bulk_clinker_price) / 10000
|
||
|
||
# 出磨水泥产量
|
||
if type == "month_s":
|
||
res = EnStat.objects.filter(mgroup__product__code="cement", type="month_s", year_s=year_s, month_s=month_s).aggregate(sum=Sum("total_production"), avg=Avg("production_cost_unit"))
|
||
elif type == "day_s":
|
||
res = EnStat.objects.filter(mgroup__product__code="cement", type="day_s", year_s=year_s, month_s=month_s, day_s=day_s).aggregate(sum=Sum("total_production"), avg=Avg("production_cost_unit"))
|
||
|
||
enstat2.cement_val = res["sum"] if res["sum"] else 0
|
||
enstat2.cement_cost_unit = res["avg"] if res["avg"] else 0
|
||
|
||
# 出窑熟料产量
|
||
if type == "month_s":
|
||
res = EnStat.objects.filter(mgroup__product__code="clinker", type="month_s", year_s=year_s, month_s=month_s).aggregate(sum=Sum("total_production"), avg=Avg("production_cost_unit"))
|
||
elif type == "day_s":
|
||
res = EnStat.objects.filter(mgroup__product__code="clinker", type="day_s", year_s=year_s, month_s=month_s, day_s=day_s).aggregate(sum=Sum("total_production"), avg=Avg("production_cost_unit"))
|
||
|
||
# 出窑熟料成本
|
||
enstat2.cliker_price_cost = res["avg"] if res["avg"] else 0
|
||
enstat2.clinker_val = res["sum"] if res["sum"] else 0
|
||
|
||
# 出厂总产量
|
||
if type == "month_s":
|
||
res = EnStat.objects.filter(mgroup__product__code="out_cement", type="month_s", year_s=year_s, month_s=month_s).aggregate(sum=Sum("total_production"), avg=Avg("production_cost_unit"))
|
||
elif type == "day_s":
|
||
res = EnStat.objects.filter(mgroup__product__code="out_cement", type="day_s", year_s=year_s, month_s=month_s, day_s=day_s).aggregate(sum=Sum("total_production"), avg=Avg("production_cost_unit"))
|
||
|
||
enstat2.out_cement_val = res["sum"] if res["sum"] else 0
|
||
# enstat2.out_cement_cost_unit = res["avg"] if res["avg"] else 0
|
||
|
||
# enstat2.out_cement_val = enstat2.bag_cement_val + enstat2.bulk_cement_val + enstat2.bulk_clinker_val
|
||
|
||
|
||
enstat2.industry_add_val = enstat2.industry_total_val - enstat2.out_cement_val * enstat2.cement_cost_unit / 10000 - enstat2.bulk_clinker_val*enstat2.cliker_price_cost / 10000
|
||
|
||
# 全厂电量
|
||
# 全厂的耗电量得单独处理
|
||
use_mpoint_elec_val = False
|
||
mp_elecs = Mpoint.objects.filter(material__code="elec", code__endswith='__all')
|
||
if mp_elecs.exists(): #
|
||
use_mpoint_elec_val = True
|
||
if type == "month_s":
|
||
enstat_qs = EnStat.objects.filter(type="month_s", year_s=year_s, month_s=month_s)
|
||
elif type == "day_s":
|
||
enstat_qs = EnStat.objects.filter(type="day_s", year_s=year_s, month_s=month_s, day_s=day_s)
|
||
res_elec_pcoal = enstat_qs.aggregate(
|
||
sum1=Sum("elec_consume"), sum2=Sum("elec_coal_consume"), sum3=Sum("pcoal_consume"), sum4=Sum("pcoal_coal_consume"), sum5=Sum("water_consume"), sum6=Sum("cair_consume")
|
||
)
|
||
if use_mpoint_elec_val:
|
||
if type == 'day_s':
|
||
enstat2.elec_consume = MpointStat.objects.filter(type='day_s', mpoint__in=mp_elecs, year_s=year_s, month_s=month_s, day_s=day_s).aggregate(sum=Sum("val"))['sum']
|
||
elif type == 'month_s':
|
||
enstat2.elec_consume = MpointStat.objects.filter(type='month_s', mpoint__in=mp_elecs, year_s=year_s, month_s=month_s).aggregate(sum=Sum("val"))['sum']
|
||
if enstat2.elec_consume is None:
|
||
enstat2.elec_consume = 0
|
||
else:
|
||
enstat2.elec_consume = res_elec_pcoal["sum1"] if res_elec_pcoal["sum1"] else 0
|
||
enstat2.elec_coal_consume = enstat2.elec_consume * 0.1229 / 1000
|
||
|
||
# 其他的统计工段合就行
|
||
enstat2.pcoal_consume = res_elec_pcoal["sum3"] if res_elec_pcoal["sum3"] else 0
|
||
enstat2.pcoal_coal_consume = res_elec_pcoal["sum4"] if res_elec_pcoal["sum4"] else 0
|
||
enstat2.water_consume = res_elec_pcoal["sum5"] if res_elec_pcoal["sum5"] else 0
|
||
enstat2.cair_consume = res_elec_pcoal["sum6"] if res_elec_pcoal["sum6"] else 0
|
||
enstat2.en_consume = enstat2.pcoal_coal_consume + enstat2.elec_coal_consume
|
||
try:
|
||
enstat2.en_consume_unit = enstat2.en_consume / enstat2.industry_total_val
|
||
except ZeroDivisionError:
|
||
enstat2.en_consume_unit = 0
|
||
try:
|
||
enstat2.en_add_consume_unit = enstat2.en_consume / enstat2.industry_add_val
|
||
except ZeroDivisionError:
|
||
enstat2.en_add_consume_unit = 0
|
||
enstat2.save()
|
||
|
||
|
||
def cal_enstat_pcoal_change(enstat: EnStat, new_pcoal_heat):
|
||
type = enstat.type
|
||
if type in ["hour_s", "sflog", "day_s"]:
|
||
enstat.pcoal_heat = new_pcoal_heat
|
||
enstat.pcoal_coal_consume = enstat.pcoal_consume * enstat.pcoal_heat / 29307.6
|
||
elif type == "month_st":
|
||
enstat.pcoal_coal_consume = EnStat.objects.filter(type="sflog", mgroup=enstat.mgroup, year_s=enstat.year_s, month_s=enstat.month_s, sflog__team=enstat.team).aggregate(
|
||
sum=Sum("pcoal_coal_consume")
|
||
)["sum"]
|
||
elif type == "month_s":
|
||
enstat.pcoal_coal_consume = EnStat.objects.filter(type="sflog", mgroup=enstat.mgroup, year_s=enstat.year_s, month_s=enstat.month_s).aggregate(sum=Sum("pcoal_coal_consume"))["sum"]
|
||
elif type == "year_s":
|
||
enstat.pcoal_coal_consume = EnStat.objects.filter(type="sflog", mgroup=enstat.mgroup, year_s=enstat.year_s).aggregate(sum=Sum("pcoal_coal_consume"))["sum"]
|
||
|
||
if enstat.pcoal_coal_consume is None:
|
||
enstat.pcoal_coal_consume = 0
|
||
# 算单位产品标煤耗
|
||
try:
|
||
enstat.coal_consume_unit = enstat.pcoal_coal_consume * 1000 / enstat.total_production
|
||
except ZeroDivisionError:
|
||
enstat.coal_consume_unit = 0
|
||
|
||
# 综合能耗
|
||
enstat.cen_consume_unit = enstat.coal_consume_unit + 0.1229 * enstat.elec_consume_unit
|
||
|
||
enstat.save(update_fields=["pcoal_heat", "pcoal_coal_consume", "coal_consume_unit", "cen_consume_unit"])
|
||
# 同步更新水泥磨的综合能耗，这步有可能不成功，因为水泥磨是后算的, 但是当pcoal_change时这个就有用了
|
||
if type not in ["month_st", "sflog"]:
|
||
next_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="水泥磨").first()
|
||
if next_enstat:
|
||
next_enstat.cen_consume_unit = next_enstat.elec_consume_unit * 0.1229 + 0.7 * enstat.cen_consume_unit
|
||
next_enstat.save(update_fields=["cen_consume_unit"])
|
||
|
||
|
||
enm_alarms_list = [
|
||
|
||
["电石渣", "elec_consume_unit", "单位产品分布电耗"],
|
||
["原料磨", "elec_consume_unit", "单位产品分布电耗"],
|
||
["回转窑", "celec_consume_unit", "单位产品综合电耗"],
|
||
["回转窑", "coal_consume_unit", "单位产品标煤耗"],
|
||
["煤磨", "elec_consume_unit", "单位产品分布电耗"],
|
||
["水泥磨", "elec_consume_unit", "单位产品分布电耗"],
|
||
["水泥包装", "elec_consume_unit", "单位产品分布电耗"]
|
||
]
|
||
|
||
|
||
@shared_task(base=CustomTask)
|
||
def enm_alarm(year_s: int, month_s: int, day_s: int):
|
||
"""
|
||
enm报警任务
|
||
"""
|
||
from apps.ecm.models import Event, EventCate, Eventdo
|
||
from apps.mtm.models import Goal
|
||
from apps.ecm.service import notify_event
|
||
|
||
now = timezone.now()
|
||
event_cate, _ = EventCate.objects.get_or_create(code="consume_exceed", defaults={"name": "能耗超过目标值", "code": "consume_exceed", "trigger": 30})
|
||
for item in enm_alarms_list:
|
||
mgroups = Mgroup.objects.filter(name=item[0])
|
||
for mgroup in mgroups:
|
||
enstat = EnStat.objects.filter(mgroup=mgroup, type="day_s", year_s=year_s, month_s=month_s, day_s=day_s).first()
|
||
if enstat:
|
||
mgroup_name = item[0]
|
||
goal_cate_str = item[1]
|
||
goal_cate_str_chin = item[2]
|
||
real_val = getattr(enstat, goal_cate_str, None)
|
||
goal = Goal.objects.filter(goal_cate__code=goal_cate_str, year=year_s, mgroup=mgroup).first()
|
||
if goal:
|
||
goal_val = getattr(goal, f"goal_val_{month_s}", None)
|
||
if goal_val and real_val and real_val > goal_val: # 触发事件
|
||
event = Event()
|
||
event.obj_cate = "enm"
|
||
event.happen_time = now
|
||
event.voice_msg = f"{mgroup_name}{item[2]}超过设定目标值"
|
||
event.enm_data = {
|
||
"mgroup": mgroup.id,
|
||
"mgroup_name": mgroup.name,
|
||
"type": f"{goal_cate_str}.exceed",
|
||
"type_chin": f"{goal_cate_str_chin}-超过设定目标值",
|
||
"year_s": year_s,
|
||
"month_s": month_s,
|
||
"day_s": day_s,
|
||
"val": real_val,
|
||
"goal_val": goal_val,
|
||
"enstat": enstat.id
|
||
}
|
||
event.save()
|
||
Eventdo.objects.get_or_create(cate=event_cate, event=event, defaults={"cate": event_cate, "event": event})
|
||
notify_event(event)
|
||
|
||
|
||
@shared_task(base=CustomTask)
|
||
def king_insert_mplogx():
|
||
mpoint_codes = Mpoint.objects.filter(enabled=True, type=Mpoint.MT_AUTO, code__startswith='K_').values_list('code', flat=True)
|
||
ml = []
|
||
for m in mpoint_codes:
|
||
ml.append({"N": m.replace('K_', '')})
|
||
_, res = kingClient.request(**kapis['read_batchtagrealvalue'], json={"objs": ml})
|
||
insert_mplogx_from_king_rest_chunk(res)
|
||
|
||
|
||
@shared_task(base=CustomTask)
|
||
def check_mpoint_offline(seconds=100):
|
||
"""监测测点采集掉线"""
|
||
now = localtime()
|
||
for mpoint in Mpoint.objects.filter(enabled=True, type=Mpoint.MT_AUTO, is_unit=False)| Mpoint.objects.filter(enabled=True, type=Mpoint.MT_COMPUTE, is_rep_ep_running_state=True, is_unit=False):
|
||
mc = MpointCache(mpoint.code)
|
||
mpoint_data = mc.data
|
||
last_data = mpoint_data.get('last_data', None)
|
||
is_offline = True
|
||
if last_data and last_data['last_timex'] and (now-last_data['last_timex']).total_seconds() < seconds:
|
||
is_offline = False
|
||
if is_offline:
|
||
mc.set_fail(-2, now) |