Django ORM GroupBy Date Ranges












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I need some help on creating a Queryset in Django. If not possible, I'd go with simple iterations in python to get my results, but I'd like to get my hands on these advanced queries and understanding this one would be a great start. Don't know if that would be possible, but thanks in advance.



Say we have this simplified situation:



class Sell(models.Model):
sku = models.ForeignKey('Product', on_delete=models.CASCADE)
value = models.FloatField()
amount = models.FloatField()
date = models.DateField(auto_created=True, blank=True)

class Promo(model.Model)
name = models.CharField(max_length=100)
date_start = models.DateField()
date_end = models.DateField()


And to use examples, let's say we have:




  • Sell - SKU001 - 40,00 - 2units - 05/1/2018

  • Sell - SKU004 - 20,00 - 2units - 12/1/2018


  • Sell - SKU003 - 10,00 - 2units - 05/3/2018


  • Sell - SKU004 - 20,00 - 1units - 17/3/2018

  • Sell - SKU005 - 30,00 - 1units - 25/3/2018


And for the Promo Instances:




  • Promo - NewYear - date_start 01/01/2018 - date_end 01/03/2018

  • Promo - FunMarchSales - date_start 01/03/2018 - date_end 01/04/2018


My Django Query should get the date_ranges from Promo and use them to GroupBy the sells returning the earnings. Something like this:




  • New Year - 120,00

  • FunMarchSales - 70,00










share|improve this question



























    0














    I need some help on creating a Queryset in Django. If not possible, I'd go with simple iterations in python to get my results, but I'd like to get my hands on these advanced queries and understanding this one would be a great start. Don't know if that would be possible, but thanks in advance.



    Say we have this simplified situation:



    class Sell(models.Model):
    sku = models.ForeignKey('Product', on_delete=models.CASCADE)
    value = models.FloatField()
    amount = models.FloatField()
    date = models.DateField(auto_created=True, blank=True)

    class Promo(model.Model)
    name = models.CharField(max_length=100)
    date_start = models.DateField()
    date_end = models.DateField()


    And to use examples, let's say we have:




    • Sell - SKU001 - 40,00 - 2units - 05/1/2018

    • Sell - SKU004 - 20,00 - 2units - 12/1/2018


    • Sell - SKU003 - 10,00 - 2units - 05/3/2018


    • Sell - SKU004 - 20,00 - 1units - 17/3/2018

    • Sell - SKU005 - 30,00 - 1units - 25/3/2018


    And for the Promo Instances:




    • Promo - NewYear - date_start 01/01/2018 - date_end 01/03/2018

    • Promo - FunMarchSales - date_start 01/03/2018 - date_end 01/04/2018


    My Django Query should get the date_ranges from Promo and use them to GroupBy the sells returning the earnings. Something like this:




    • New Year - 120,00

    • FunMarchSales - 70,00










    share|improve this question

























      0












      0








      0







      I need some help on creating a Queryset in Django. If not possible, I'd go with simple iterations in python to get my results, but I'd like to get my hands on these advanced queries and understanding this one would be a great start. Don't know if that would be possible, but thanks in advance.



      Say we have this simplified situation:



      class Sell(models.Model):
      sku = models.ForeignKey('Product', on_delete=models.CASCADE)
      value = models.FloatField()
      amount = models.FloatField()
      date = models.DateField(auto_created=True, blank=True)

      class Promo(model.Model)
      name = models.CharField(max_length=100)
      date_start = models.DateField()
      date_end = models.DateField()


      And to use examples, let's say we have:




      • Sell - SKU001 - 40,00 - 2units - 05/1/2018

      • Sell - SKU004 - 20,00 - 2units - 12/1/2018


      • Sell - SKU003 - 10,00 - 2units - 05/3/2018


      • Sell - SKU004 - 20,00 - 1units - 17/3/2018

      • Sell - SKU005 - 30,00 - 1units - 25/3/2018


      And for the Promo Instances:




      • Promo - NewYear - date_start 01/01/2018 - date_end 01/03/2018

      • Promo - FunMarchSales - date_start 01/03/2018 - date_end 01/04/2018


      My Django Query should get the date_ranges from Promo and use them to GroupBy the sells returning the earnings. Something like this:




      • New Year - 120,00

      • FunMarchSales - 70,00










      share|improve this question













      I need some help on creating a Queryset in Django. If not possible, I'd go with simple iterations in python to get my results, but I'd like to get my hands on these advanced queries and understanding this one would be a great start. Don't know if that would be possible, but thanks in advance.



      Say we have this simplified situation:



      class Sell(models.Model):
      sku = models.ForeignKey('Product', on_delete=models.CASCADE)
      value = models.FloatField()
      amount = models.FloatField()
      date = models.DateField(auto_created=True, blank=True)

      class Promo(model.Model)
      name = models.CharField(max_length=100)
      date_start = models.DateField()
      date_end = models.DateField()


      And to use examples, let's say we have:




      • Sell - SKU001 - 40,00 - 2units - 05/1/2018

      • Sell - SKU004 - 20,00 - 2units - 12/1/2018


      • Sell - SKU003 - 10,00 - 2units - 05/3/2018


      • Sell - SKU004 - 20,00 - 1units - 17/3/2018

      • Sell - SKU005 - 30,00 - 1units - 25/3/2018


      And for the Promo Instances:




      • Promo - NewYear - date_start 01/01/2018 - date_end 01/03/2018

      • Promo - FunMarchSales - date_start 01/03/2018 - date_end 01/04/2018


      My Django Query should get the date_ranges from Promo and use them to GroupBy the sells returning the earnings. Something like this:




      • New Year - 120,00

      • FunMarchSales - 70,00







      django django-orm






      share|improve this question













      share|improve this question











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      asked Nov 21 '18 at 17:55









      Felipe de Abreu PrazeresFelipe de Abreu Prazeres

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