factory/apps/qm/tasks.py

73 lines
3.2 KiB
Python

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
@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)
# 月统计
params = {
'testitem': ins.testitem,
'product': ins.product,
'belong_dept': ins.belong_dept,
'year': ins.year,
'month': ins.month
}
results_month = QuaStat.objects.filter(**params).values('belong_dept', 'product',
'testitem', 'year', 'month').annotate(
avg_val_total=Sum(F('avg_val')*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())
)
for r1 in results_month:
stat_params = {
'avg_val': 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, **{'type': 'month'}, defaults={**params, **{'type': 'month'}, **stat_params}
)
if not is_created:
for k in stat_params:
setattr(qua, k, stat_params[k])
qua.save()
# 年统计
params.pop('month')
results_year = QuaStat.objects.filter(**params).values('belong_dept', 'product',
'testitem', 'year').annotate(
avg_val_total=Sum(F('avg_val')*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())
)
for r1 in results_year:
stat_params = {
'avg_val': 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, **{'type': 'year'}, defaults={**params, **{'type': 'year'}, **stat_params}
)
if not is_created:
for k in stat_params:
setattr(qua, k, stat_params[k])
qua.save()