如何编写高级Django ORM查询

4
为了简化事情,我们假设我有一个名为StockIOLog的模型。
class StockIOLog(models.Model):
    pid = models.IntegerField()
    name= models.CharField(max_length=50)
    type= models.IntegerField()
    stock = models.IntegerField()

它包含以下数据:
pid  |   name  |  batch | type  | quantity
------------------------------------------------
1    |   Napa  |  AB    | 0     | 100
------------------------------------------------
1    |   Napa  |  AA    | 0     | 100
------------------------------------------------
2    |   Amod  |  AA    | 0     | 100
------------------------------------------------
2    |   Amod  |  CA    | 0     | 100
------------------------------------------------
1    |   Napa  |  AB    | 1     | 10
------------------------------------------------
1    |   Napa  |  AB    | 1     | 5
------------------------------------------------
1    |   Napa  |  AA    | 1     | 20
 ------------------------------------------------
2    |   Amod  |  AA    | 1     | 10
------------------------------------------------
2    |   Amod  |  AA    | 1     | 50
------------------------------------------------
2    |   Amod  |  CA    | 1     | 5
------------------------------------------------
2    |   Amod  |  CA    | 1     | 15

类型0表示已购买的产品,类型1表示已消耗的产品。现在我想按批次计算每种产品的总库存。

通过运行以下SQL查询

SELECT pid, name, batch, SUM(in) - SUM(out) as stock FROM (
   SELECT pid, name, type SUM(quantity) as in, 0 as out from `qset` WHERE type=0 GROUP BY pid,type,batch as a 
   UNION
   SELECT pid, name, type 0 as in, SUM(quantity) as out from `qset` WHERE type=1 GROUP BY pid,type,batch as b
) ac table_a

我得到了以下查询集

pid  |   name  |  batch | stock
-----------------------------------
1    |   Napa  |  AB    | 85
-----------------------------------
1    |   Napa  |  AA    | 80
-----------------------------------
2    |   Amod  |  AA    | 40
-----------------------------------
2    |   Amod  |  CA    | 80

如何在Django ORM中完成类似的事情?

从 SQL 查询中很难理解问题。你能解释一下情况吗? - Md. Al-Amin
@Md.Al-Amin 更新了问题,更简洁明了。 - Ashraful Alam
1个回答

1
也许不是最好的答案,但您可以通过以下查询在字典中获得“purchased”和“consumed”。
from django.db.models import When, F, IntegerField, Sum, Count
from .models import StockIOLog

values = (StockIOLog.objects.all().values("pid", "name", "batch").annotate(
    purchased=Sum(Case(When(type=1, then=F("stock")),
                       output_filed=IntegerField())),
    consumed=Sum(Case(When(type=0, then=F("stock")),
                      output_field=IntegerField())))
)

网页内容由stack overflow 提供, 点击上面的
可以查看英文原文,
原文链接