from __future__ import absolute_import, unicode_literals
from celery import shared_task
from apps.qm.models import QuaStat
from apps.utils.tasks import CustomTask
from django.db.models import Sum, F, ExpressionWrapper, FloatField, Q

def cal_quastat_type(qs, params_o: dict, type: str):
    params = params_o.copy()
    v_list = ['belong_dept', 'material', 'testitem', 'year_s', 'month_s', 'day_s']
    if type == 'month_s':
        v_list = ['belong_dept', 'material', 'testitem', 'year_s', 'month_s']
    elif type == 'year_s':
        v_list = ['belong_dept', 'material', 'testitem', 'year_s']
    results = qs.filter(**params).values(*v_list).annotate(
                                        avg_val_total=Sum(F('val_avg')*F('num_test')),
                                        num_test_1=Sum('num_test'),
                                        num_ok_1=Sum('num_ok')).annotate(
                                            avg_val_1=ExpressionWrapper(F('avg_val_total')/F('num_test_1'), output_field=FloatField()),
                                            rate_pass_1=ExpressionWrapper(F('num_ok_1')/F('num_test_1'), output_field=FloatField())
                                        )
    params['type'] = type
    if type == 'month_s':
        params.pop('day_s')
    elif type == 'year_s':
        params.pop('month_s')
    for r1 in results:
        stat_params = {
            'val_avg': r1['avg_val_1'],
            'num_test': r1['num_test_1'],
            'num_ok': r1['num_ok_1'],
            'rate_pass': r1['rate_pass_1']
        }
        qua, is_created = QuaStat.objects.get_or_create(
            **params, defaults={**params, **stat_params}
        )
        for k in stat_params:
            setattr(qua, k, stat_params[k])
        qua.save()

@shared_task(base=CustomTask)
def cal_quastat(quastatId: str):
    # 可以直接使用sql语言
    # query = """
    #     SELECT field1, SUM(field2 * field3) AS field2_field3_sum, SUM(field1) AS field1_sum,
    #            SUM(field2 * field3) / SUM(field1) AS result
    #     FROM your_table_name
    #     GROUP BY field1
    # """
    ins = QuaStat.objects.get(id=quastatId)
    qs = QuaStat.objects.exclude(Q(val_avg__isnull=True)|Q(num_test__isnull=True)|Q(num_ok__isnull=True))
    params = {
        'testitem': ins.testitem,
        'material': ins.material,
        'belong_dept': ins.belong_dept,
        'type': 'sflog',
        'year_s': ins.year_s,
        'month_s': ins.month_s,
        'day_s': ins.day_s
    }
    # 日统计
    cal_quastat_type(qs, params_o=params, type='day_s')
    # 月统计
    cal_quastat_type(qs, params_o=params, type='month_s')
    # 年统计
    cal_quastat_type(qs, params_o=params, type='year_s')