120 lines
4.1 KiB
Python
120 lines
4.1 KiB
Python
from apps.enm.models import Mpoint, MpointStat, EnStat, MpLog
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import re
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import traceback
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from apps.mtm.services import get_mgroup_goals
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from django.db.models import Q
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import datetime
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from django.utils import timezone
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def translate_eval_formula(exp_str: str, year: int, month: int, day: int, hour: int):
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"""
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传入
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"""
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pattern = r"\${(.*?)}"
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matches = re.findall(pattern, exp_str)
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for match in matches:
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mpst = MpointStat.objects.filter(Q(mpoint__id=match) | Q(mpoint__name=match) | Q(
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mpoint__code=match), type='hour', year=year, month=month, day=day, hour=hour).first()
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if mpst:
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exp_str = exp_str.replace(f"${{{match}}}", str(mpst.val))
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rval = eval(exp_str)
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return rval
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def get_day_s(year: int, month: int, day: int, hour: int, hour_split: int = 21):
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"""
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根据给定的小时数, 计算出班天
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"""
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if hour <= hour_split:
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return year, month, day
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else:
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now = datetime.datetime(year, month, day, hour)
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now2 = now + datetime.timedelta(days=1)
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return now2.year, now2.month, now2.day
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# cal_rule = {
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# "电石渣": {
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# "total_production": 0.4,
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# "elec_consume_unit": 0.4,
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# "production_cost_unit": 0.2
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# },
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# "原料磨":{
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# "production_hour": 0.3,
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# "elec_consume_unit": 0.3,
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# "production_cost_unit": 0.1,
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# "辅料_细度":0.05,
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# "辅料_水分":0.04,
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# "干混生料_CaO":0.04
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# }
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# }
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# def cal_team_score(data):
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# """
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# 计算月度绩效
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# """
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# qua_rate = {}
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# month_s = data['month_s']
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# for item in data['qua_data']:
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# qua_rate[f'{item["material_name"]}_{item["testitem_name"]}'] = item["rate_pass"]
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# goal_dict = get_mgroup_goals(data['mgroup'], data['year_s'], False)
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# goal_data = {}
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# try:
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# rule = cal_rule[data['mgroup_name']]
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# score = 0
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# for key in rule:
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# new_key = f'{key}_{month_s}'
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# goal_data[new_key] = goal_dict[new_key]
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# if '-' in key:
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# score = score + qua_rate.get(key, 0)/goal_data[new_key]*rule[key]
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# else:
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# score = score + data.get(key)/goal_data[new_key]*rule[key]
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# print(score)
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# # enstat.goal_data = goal_data
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# # enstat.score =score
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# # enstat.save(update_fields=['goal_data', 'score'])
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# except:
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# print(traceback.format_exc())
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# return goal_data, score
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def shutdown_or_startup(mplog: MpLog):
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from apps.wpm.models import StLog
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from apps.wpm.tasks import cal_exp_duration_hour
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from apps.wpm.services import get_sflog
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mpoint = mplog.mpoint
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mgroup = mpoint.mgroup
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last_stlog = StLog.objects.filter(
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mgroup=mgroup, is_shutdown=True).order_by('start_time').last() # 找到最后一次停机记录
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if last_stlog:
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if mplog.tag_update >= last_stlog.start_time: # 认为是有效信号
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if last_stlog.end_time is None and mplog.tag_val == 1: # 从停到开
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last_stlog.end_time = mplog.tag_update
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last_stlog.duration = (
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last_stlog.end_time - last_stlog.start_time).total_seconds()/3600
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last_stlog.save()
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mgroup.is_runing = True
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mgroup.save()
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cal_exp_duration_hour(last_stlog.id) # 触发时间分配
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elif last_stlog.end_time and mplog.tag_val == 0 and mplog.tag_update > last_stlog.end_time: # 从开到停
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StLog.objects.create(
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title='停机',
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is_shutdown=True,
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mgroup=mgroup,
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end_time=None,
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start_time=mplog.tag_update,
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sflog=get_sflog(mgroup, mplog.tag_update)
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)
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mgroup.is_runing = False
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mgroup.save()
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else:
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StLog.objects.create(
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title='停机',
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is_shutdown=True,
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mgroup=mgroup,
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end_time=None,
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start_time=mplog.tag_update,
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sflog=get_sflog(mgroup, mplog.tag_update))
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mgroup.is_runing = False
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mgroup.save()
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