346 lines
13 KiB
Python
346 lines
13 KiB
Python
from apps.enm.models import Mpoint, MpointStat, EnStat, MpLogx
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import re
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import logging
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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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from django.utils import timezone
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from django.core.cache import cache
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import concurrent.futures
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from django.db import connection, transaction
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from datetime import datetime, timedelta
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from apps.utils.decorators import auto_log
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from django.db import IntegrityError
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from apps.utils.tasks import ctask_run
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from .serializers import MpointSerializer
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from apps.enp.models import EnvData
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from apps.em.models import Equipment, RuningState
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myLogger = logging.getLogger("log")
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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(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 get_mpoint_cache(code: str, force_update=False, update_mplogx=True):
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"""
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获取或更新mpoint的缓存数据
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返回空代表无该测点
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"""
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key = Mpoint.cache_key(code)
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mpoint_data = cache.get(key, None)
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if mpoint_data is None or force_update:
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try:
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mpoint = Mpoint.objects.get(code=code)
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except Exception:
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return None
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mpoint_data = MpointSerializer(instance=mpoint).data
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if update_mplogx:
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now = timezone.now()
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last_mplogx = MpLogx.objects.filter(mpoint=mpoint, timex__gte=now - timedelta(minutes=5)).order_by("-timex").first()
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if last_mplogx: # 核心数据
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mpoint_data["last_data"] = {"last_val": getattr(last_mplogx, "val_" + mpoint_data["val_type"]), "last_timex": last_mplogx.timex}
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cache.set(key, mpoint_data, timeout=None)
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return mpoint_data
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def update_mpoint_cache(cache_key: str, current_cache_val: dict, last_timex: datetime, last_val, last_mrs):
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"""
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更新mpoint的缓存数据并执行某些操作
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last_mrs: 所监测的设备运行状态值可不传
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"""
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ep_belong_id = current_cache_val.get("ep_belong", None)
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ep_monitored_id = current_cache_val.get("ep_monitored", False)
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last_data = current_cache_val["last_data"]
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last_data["pre_val"] = last_data.get("last_val", None)
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last_data["pre_timex"] = last_data.get("last_timex", None)
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last_data["pre_mrs"] = last_data.get("last_mrs", None)
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last_data["last_val"] = last_val
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if last_mrs:
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last_data["last_mrs"] = last_mrs
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last_data["last_timex"] = last_timex
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cache.set(cache_key, current_cache_val, timeout=None)
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# 更新设备状态缓存值
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if ep_belong_id:
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cache.set(f"equipment_{ep_belong_id}", {"running_state": RuningState.RUNING, "running_state_timex": last_timex}, timeout=None)
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if ep_monitored_id:
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cache.set(f"equipment_{ep_monitored_id}", {"running_state": last_mrs, "running_state_timex": last_timex}, timeout=None)
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# 如果state变动则触发函数
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if last_data["pre_mrs"] != last_mrs:
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if ep_belong_id:
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ctask_run("apps.em.services.shutdown_or_startup", ep_belong_id, last_timex, RuningState.RUNING)
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if ep_monitored_id:
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ctask_run("apps.em.services.shutdown_or_startup", ep_belong_id, last_timex, last_mrs)
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def transfer_mpoint_val_to_ep_running_state(current_val, base_val1: float):
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"""
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将测点值转换所监测设备的运行状态值
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"""
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if isinstance(current_val, bool):
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if current_val:
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return RuningState.RUNING
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return RuningState.STOP
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rs = RuningState.RUNING
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if base_val1:
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if current_val < base_val1:
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rs = RuningState.STOP
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else:
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if current_val == 0:
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rs = RuningState.STOP
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return rs
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def king_sync(projectName: str, json_path: str = ""):
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"""
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同步亚控测点
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"""
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if json_path:
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import os
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import json
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from django.conf import settings
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with open(os.path.join(settings.BASE_DIR, json_path), "r", encoding="utf-8") as f:
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res = json.loads(f.read())
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else:
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from apps.third.king.k import kingClient
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from apps.third.king import king_api
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_, res = kingClient.request(**king_api["read_variables"], params={"projectInstanceName": projectName})
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t_dict = {1: "bool", 2: "int", 3: "float", 4: "float", 5: "str"}
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for index, item in enumerate(res["objectList"]):
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if "t" in item and item["t"] and "SystemTag" not in item["d"]:
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code = f'K_{item["n"]}'
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item["from"] = "king"
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group = item["g"]
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name = item["d"]
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if group:
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name = f"{group}.{name}"
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Mpoint.objects.get_or_create(code=code, defaults={"name": name, "code": code, "enabled": False, "is_auto": True, "val_type": t_dict[item["t"]], "third_info": item})
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test_data = {
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"PNs": {"1": "V", "2": "T", "3": "Q"},
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"PVs": {"1": -725, "2": "2024-04-08 13:43:53.140", "3": 192},
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"Objs": [
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{"N": "IP2_MM_IW3"},
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{"N": "IP2_MM_IW4", "1": -6386},
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{"N": "IP2_MM_IW5", "1": -7835},
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{"N": "IP2_MM_IW7", "1": -6864},
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{"N": "IP2_MM_IW15", "1": 29},
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{"N": "IP2_MM_SC_IW3", "1": 337},
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{"N": "IP2_MM_SC_IW13", "1": -5511, "2": 24},
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{"N": "IP2_MM_SC_IW14", "1": -4640, "2": 24},
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{"N": "IP2_MM_SC_IW15", "1": -5586, "2": 24},
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{"N": "IP2_MM_SC_IW16", "1": -6634, "2": 24},
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{"N": "IP2_MM_SC_IW17", "1": -2768, "2": 24},
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{"N": "IP2_MM_SC_IW18", "1": -2946, "2": 24},
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{"N": "IP2_MM_SC_IW19", "1": -2550, "2": 24},
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{"N": "IP2_MM_SC_IW20", "1": -1512, "2": 24},
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{"N": "IP2_MM_SC_IW21", "1": -1775, "2": 24},
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{"N": "IP2_MM_SC_IW22", "1": -194, "2": 24},
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{"N": "IP2_MM_SC_IW23", "1": -366, "2": 24},
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{"N": "IP2_MM_SC_IW24", "1": -9291, "2": 24},
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{"N": "IP2_MM_SC_IW25", "1": -6888, "2": 24},
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{"N": "IP2_MM_SC_IW26", "1": -2360, "2": 24},
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{"N": "IP2_MM_SC_IW29", "1": 164, "2": 24},
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{"N": "IP2_MM_SC_IW30", "1": 914, "2": 24},
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{"N": "IP2_MM_SC_IW31", "1": 849, "2": 24},
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{"N": "IP2_MM_SC_IW37", "1": -125, "2": 24},
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{"N": "IP2_MM_SC_IW38", "1": -3009, "2": 24},
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{"N": "IP2_MM_SC_IW40", "1": -1394, "2": 24},
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{"N": "IP2_MM_SC_IW43", "1": 758, "2": 24},
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{"N": "IP3_SC_IW1", "1": 11557, "2": 107},
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{"N": "IP3_SC_IW2", "1": 7624, "2": 107},
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{"N": "IP3_SC_IW6", "1": 11159, "2": 107},
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{"N": "IP3_SC_IW7", "1": 8073, "2": 107},
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{"N": "IP3_SC_IW9", "1": 4490, "2": 107},
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{"N": "IP3_SC_IW10", "1": 5437, "2": 107},
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{"N": "IP3_SC_IW11", "1": 9244, "2": 107},
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{"N": "IP3_SC_IW12", "1": 7886, "2": 107},
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{"N": "IP3_SC_IW13", "1": -2962, "2": 107},
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{"N": "IP3_SC_IW14", "1": -159, "2": 107},
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{"N": "IP3_SC_IW26", "1": 15, "2": 107},
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{"N": "IP3_SC_IW27", "1": 15, "2": 107},
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],
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}
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@auto_log("亚控存库")
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def insert_mplogx_from_king_mqtt(data: dict, is_offset=True):
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"""
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从king mqtt数据插入超表
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注释的代码是分批存的, 但是实际上不需要, 暂时注释，有需要再加
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"""
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objs = data["Objs"]
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# len_objs = len(objs)
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pvs = data["PVs"]
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# chunk_size = 200
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# num_chunks = (len(objs) + chunk_size - 1) // chunk_size
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otime_obj = timezone.make_aware(datetime.strptime(pvs["2"], "%Y-%m-%d %H:%M:%S.%f")).replace(microsecond=0) # 只保留到秒级的精度
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insert_mplogx_from_king_mqtt_chunk(objs, otime_obj, is_offset)
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# with concurrent.futures.ThreadPoolExecutor(max_workers=4) as executor:
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# futures = []
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# for i in range(num_chunks):
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# start = i * chunk_size
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# end = min(start + chunk_size, len_objs)
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# chunk = objs[start:end]
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# futures.append(executor.submit(insert_mplogx_from_king_mqtt_chunk, chunk, otime_obj, is_offset))
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# concurrent.futures.wait(futures)
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# for future in futures:
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# print(future.result(), end=', ')
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def insert_mplogx_from_king_mqtt_chunk(objs: list, otime_obj: datetime, is_offset=True):
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"""
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分批存库, 亚控 38.00,00000.11011 版本偏移只是时间戳偏移。另外其实可以不在乎
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"""
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# oval = pvs['1']
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enp_mpoints_dict = {} # 这个地方主要是需要更新envdata表里的数据
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for obj in objs:
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n = obj["N"]
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val = obj["1"]
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# timex = obj.get("2", None)
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code = f"K_{n}"
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cache_key = Mpoint.cache_key(code)
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mpoint_data = get_mpoint_cache(code)
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if mpoint_data is None:
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continue
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val_type = mpoint_data["val_type"]
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# if is_offset:
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# if timex is None:
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# timex = otime_obj
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# else:
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# timex = otime_obj + timedelta(mgilliseconds=timex)
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# else:
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# timex = timezone.make_aware(datetime.strptime(timex, '%Y-%m-%d %H:%M:%S.%f'))
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mpoint_interval = mpoint_data["interval"]
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mpoint_last_timex = mpoint_data.get("last_timex", None)
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mpoint_is_rep_ep_running_state = mpoint_data.get("is_rep_ep_running_state", False)
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mpoint_ep_base_val1 = mpoint_data.get("ep_base_val1", None)
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# 控制采集间隔
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can_save = False
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if mpoint_last_timex:
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if (otime_obj - mpoint_last_timex).total_seconds() > mpoint_interval:
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can_save = True
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else:
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can_save = True
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if can_save:
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save_dict = {
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"timex": otime_obj,
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"mpoint": Mpoint.objects.get(id=mpoint_data["id"]),
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}
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save_dict[f"val_{val_type}"] = val
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val_mrs = RuningState.RUNING
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if mpoint_is_rep_ep_running_state:
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save_dict["val_mrs"] = transfer_mpoint_val_to_ep_running_state(val, mpoint_ep_base_val1)
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try:
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MpLogx.objects.create(**save_dict)
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update_mpoint_cache(cache_key, mpoint_data, otime_obj, val, val_mrs)
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# 此处代码用于更新envdata表里的数据
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enp_field = mpoint_data.get("enp_field", None)
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ep_monitored = mpoint_data.get("ep_monitored", None)
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if enp_field and ep_monitored:
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if enp_mpoints_dict.get(ep_monitored, None) is None:
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enp_mpoints_dict[ep_monitored] = {"timex": otime_obj, "equipment": Equipment.objects.get(id=ep_monitored)}
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if enp_field == "running_state":
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enp_mpoints_dict[ep_monitored].update({enp_field: val_mrs})
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else:
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enp_mpoints_dict[ep_monitored].update({enp_field: val})
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enp_mpoints_dict[ep_monitored].update({enp_field: val})
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except Exception:
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myLogger.error(f"mpoint_cache_key: {cache_key} 存库失败", exc_info=True)
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continue
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# # 先尝试批量存库/发生异常则单个存储
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# is_bulk_insert = True
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# try:
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# MpLogx.objects.bulk_create(insert_db_data)
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# except IntegrityError:
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# is_bulk_insert = False
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# if is_bulk_insert:
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# # 批量存库成功后更新缓存
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# for item in update_cache_data:
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# need_gather_filed_mpoints.append(update_mpoint_cache_and_do_func(item))
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# else:
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# {'eq_belong': {'dust_rtd': 1.0}}
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# 额外需要处理的数据(存储到envdata表里)
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if enp_mpoints_dict:
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for _, item in enp_mpoints_dict:
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EnvData.objects(**item)
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