# Create your tasks here
from __future__ import absolute_import, unicode_literals
from apps.utils.tasks import CustomTask
from celery import shared_task
from apps.utils.sql import DbConnection
from server.settings import get_sysconfig
from django.core.cache import cache
from apps.enm.models import MpLog, Mpoint, MpointStat
from apps.wpm.models import SfLog
import datetime
from django.db.models import Sum
from dateutil import tz
from django.conf import settings
from django.utils.timezone import localtime
from apps.wpm.services import make_sflogs

def get_current_and_previous_time():
    now = datetime.datetime.now()
    pre = now - datetime.timedelta(hours=1)
    return now, pre


@shared_task(base=CustomTask)
def get_tag_val():
    config = get_sysconfig()
    with DbConnection(config['enm']['db_host'], config['enm']['db_user'], config['enm']['db_password'], config['enm']['db_database']) as cursor:
        last_tag_id = cache.get('last_tag_id')
        if last_tag_id is None:
            mr = MpLog.objects.all().order_by('-tag_update', 'tag_id').first()
            if mr is None:
                last_tag_id = 0
            else:
                last_tag_id = mr.tag_id
                cache.set('last_tag_id', last_tag_id)
        cursor.execute("select id, val, tag_code, update_time from tag_value where id > %s order by id", (last_tag_id))
        results = cursor.fetchall()  # 获取数据后保存至本地
        for row in results:
            mr_one = MpLog()
            mr_one.tag_id, mr_one.tag_val, mr_one.tag_code, mr_one.tag_update = row
            mr_one.mpoint, _  = Mpoint.objects.get_or_create(code=mr_one.tag_code, defaults={'name': mr_one.tag_code, 'code': mr_one.tag_code, 'unit': 'unknown'})
            mr_one.save()

@shared_task(base=CustomTask)
def cal_mpointstat_hour(mpointId: str, year: int, month: int, day: int, hour: int):
    """
    计算某一测点, 某一时间点某一小时的统计值
    """
    mpoint = Mpoint.objects.get(id=mpointId)
    mytz = tz.gettz(settings.TIME_ZONE)
    dt = datetime.datetime(year=year, month=month, day=day, hour=hour, tzinfo=mytz)
    if mpoint.material:  # 如果计量的是物料
        params = {'mpoint': mpoint, 'type': 'hour'}
        params['year'], params['month'], params['day'], params['hour'] = year, month, day, hour
        mrs = MpLog.objects.filter(
            mpoint=mpoint, 
            tag_update__year=params['year'],
            tag_update__month=params['month'],
            tag_update__day=params['day'],
            tag_update__hour= params['hour']).order_by('tag_update')
        val = 0
        if mrs.exists():
            val = mrs.last().tag_val - mrs.first().tag_val
        ms, _ = MpointStat.objects.get_or_create(**params, defaults=params)
        ms.val = val
        ms.save()
        # 更新更高级别的值
        sum_dict_day = MpointStat.objects.filter(type='hour', mpoint=mpoint, year=year, month=month, day=day).aggregate(sum=Sum('val'))
        params_day = {'type':'day', 'mpoint': mpoint, 'year': year, 'month': month, 'day': day}
        ms_day, _ = MpointStat.objects.get_or_create(**params_day, defaults=params_day)
        ms_day.val = sum_dict_day['sum']
        ms_day.save()

        sum_dict_month = MpointStat.objects.filter(type='day', mpoint=mpoint, year=year, month=month).aggregate(sum=Sum('val'))
        params_month = {'type':'month', 'mpoint': mpoint, 'year': year, 'month': month}
        ms_month, _ = MpointStat.objects.get_or_create(**params_month, defaults=params_month)
        ms_month.val = sum_dict_month['sum']
        ms_month.save()

        sum_dict_year = MpointStat.objects.filter(type='month', mpoint=mpoint, year=year).aggregate(sum=Sum('val'))
        params_year = {'type':'year', 'mpoint': mpoint, 'year': year}
        ms_year, _ = MpointStat.objects.get_or_create(**params_year, defaults=params_year)
        ms_year.val = sum_dict_year['sum']
        ms_year.save()

        # 查找并绑定值班记录
        sflog = SfLog.objects.filter(start_time__lte=dt, end_time__gt=dt, mgroup=mpoint.mgroup).first()
        if sflog is None:  # 需要创建值班记录
            from apps.wpm.services import make_sflogs
            make_sflogs(mgroup=mpoint.mgroup, start_date=(dt-datetime.timedelta(days=1)).date(), end_date=dt.date())
            sflog = SfLog.objects.filter(start_time__lte=dt, end_time__gt=dt, mgroup=mpoint.mgroup).first()
        ms.sflog = sflog
        end_time_local = localtime(sflog.end_time)
        year_s, month_s, day_s = end_time_local.year, end_time_local.month, end_time_local.day
        ms.year_s = year_s
        ms.month_s = month_s
        ms.day_s = day_s
        ms.save()
            # 这种是距离点相减
            # params_s = {'mpoint': mpoint, 'type': 'sflog'}
            # mrs = MpLog.objects.filter(
            #             mpoint=mpoint, 
            #             tag_update__gte=sflog.create_time, tag_update__lt=sflog.end_time).order_by('tag_update')
            # val = 0
            # if mrs.exists():
            #     val = mrs.last().tag_val - mrs.first().tag_val
            # params_s_default = {'mpoint': mpoint, 'type': 'sflog', 'year_s': year_s, 'month_s': month_s, 'day_s': day_s}
            # ms, _ = MpointStat.objects.get_or_create(**params_s, defaults=params_s_default)
            # ms.val = val
            # ms.save()

        # 开始往上计算
        sum_dict_sflog_s = MpointStat.objects.filter(type='hour', mpoint=mpoint, year_s=year_s, month_s=month_s, day_s=day_s, sflog=sflog).aggregate(sum=Sum('val'))
        params_sflog_s = {'type':'sflog', 'mpoint': mpoint, 'year_s': year_s, 'month_s': month_s, 'day_s': day_s}
        ms_sflog_s, _ = MpointStat.objects.get_or_create(**params_sflog_s, defaults=params_sflog_s)
        ms_sflog_s.val = sum_dict_sflog_s['sum']
        ms_sflog_s.save()

        sum_dict_day_s = MpointStat.objects.filter(type='sflog', mpoint=mpoint, year_s=year_s, month_s=month_s, day_s=day_s).aggregate(sum=Sum('val'))
        params_day_s = {'type':'day_s', 'mpoint': mpoint, 'year_s': year_s, 'month_s': month_s, 'day_s': day_s}
        ms_day_s, _ = MpointStat.objects.get_or_create(**params_day_s, defaults=params_day_s)
        ms_day_s.val = sum_dict_day_s['sum']
        ms_day_s.save()

        sum_dict_month_s = MpointStat.objects.filter(type='day_s', mpoint=mpoint, year_s=year_s, month_s=month_s).aggregate(sum=Sum('val'))
        params_month_s = {'type':'month_s', 'mpoint': mpoint, 'year_s': year_s, 'month_s': month_s}
        ms_month_s, _ = MpointStat.objects.get_or_create(**params_month_s, defaults=params_month_s)
        ms_month_s.val = sum_dict_month_s['sum']
        ms_month_s.save()

        sum_dict_year_s = MpointStat.objects.filter(type='month_s', mpoint=mpoint, year_s=year_s).aggregate(sum=Sum('val'))
        params_year_s = {'type':'year_s', 'mpoint': mpoint, 'year_s': year_s}
        ms_year_s, _ = MpointStat.objects.get_or_create(**params_year_s, defaults=params_year_s)
        ms_year_s.val = sum_dict_year_s['sum']
        ms_year_s.save()

@shared_task(base=CustomTask)
def cal_mpointstats(is_now=1):
    """
    计算所有测点的统计值，默认当前小时
    """
    now, pre = get_current_and_previous_time()
    if is_now:
        for mpoint in Mpoint.objects.filter(is_auto=True):
            cal_mpointstat_hour.delay(mpoint.id, now.year, now.month, now.day, now.hour)
    else:
        for mpoint in Mpoint.objects.filter(is_auto=True):
            cal_mpointstat_hour.delay(mpoint.id, pre.year, pre.month, pre.day, pre.hour)


def cal_mpointstat_manual(mpointId: str, year_s: int, month_s: int, day_s=None):
    """
    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)
    if day_s is not None:
        sum_dict_day_s = MpointStat.objects.filter(type='sflog', mpoint=mpoint, year_s=year_s, month_s=month_s, day_s=day_s).aggregate(sum=Sum('val'))
        params_day_s = {'type':'day_s', 'mpoint': mpoint, 'year_s': year_s, 'month_s': month_s, 'day_s': day_s}
        ms_day_s, _ = MpointStat.objects.get_or_create(**params_day_s, defaults=params_day_s)
        ms_day_s.val = sum_dict_day_s['sum']
        ms_day_s.save()

    sum_dict_month_s = MpointStat.objects.filter(type='day_s', mpoint=mpoint, year_s=year_s, month_s=month_s).aggregate(sum=Sum('val'))
    params_month_s = {'type':'month_s', 'mpoint': mpoint, 'year_s': year_s, 'month_s': month_s}
    ms_month_s, _ = MpointStat.objects.get_or_create(**params_month_s, defaults=params_month_s)
    ms_month_s.val = sum_dict_month_s['sum']
    ms_month_s.save()

    sum_dict_year_s = MpointStat.objects.filter(type='month_s', mpoint=mpoint, year_s=year_s).aggregate(sum=Sum('val'))
    params_year_s = {'type':'year_s', 'mpoint': mpoint, 'year_s': year_s}
    ms_year_s, _ = MpointStat.objects.get_or_create(**params_year_s, defaults=params_year_s)
    ms_year_s.val = sum_dict_year_s['sum']
    ms_year_s.save()