Aggregating over annotated queryset with subqueries in Django 1.11





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I'm trying to aggregate the total value of a shares model grouped by date. Looking at the Django docs I see I should be doing a call to .values('date') (so that Django does the annotation grouping the queryset by date) followed by my annotation. The queryset involves two subqueries:



            prices = Quote.objects.filter(
date=OuterRef('date'),
asset=OuterRef('asset')
).order_by().values('price')
usd_prices = Quote.objects.filter(
asset__ticker='USDCLP',
date=OuterRef('date'),
).order_by().values('price')
shares_data = DailyShares.objects.filter(
account=account,
date__gte=start_date,
).order_by().annotate(
price=Subquery(prices),
usd_price=Subquery(usd_prices),
clp_value=Case(
When(
asset__currency=Asset.USD,
then=F('quantity') * F('price') * F('usd_price')
),
default=F('quantity') * F('price'),
output_field=models.DecimalField(),
),
).values(
'date',
).annotate(
total_value=Sum('clp_value')
)


The problem is this throws a KeyError: 'clp_value', I can't access the annotation after the call to .values('date'). If I add clp_value to the .values() call, I'll break the group-by because Django will try and group by unique (date, clp_value) pairs which is not what I'm trying to do.



Any ideas?










share|improve this question





























    0















    I'm trying to aggregate the total value of a shares model grouped by date. Looking at the Django docs I see I should be doing a call to .values('date') (so that Django does the annotation grouping the queryset by date) followed by my annotation. The queryset involves two subqueries:



                prices = Quote.objects.filter(
    date=OuterRef('date'),
    asset=OuterRef('asset')
    ).order_by().values('price')
    usd_prices = Quote.objects.filter(
    asset__ticker='USDCLP',
    date=OuterRef('date'),
    ).order_by().values('price')
    shares_data = DailyShares.objects.filter(
    account=account,
    date__gte=start_date,
    ).order_by().annotate(
    price=Subquery(prices),
    usd_price=Subquery(usd_prices),
    clp_value=Case(
    When(
    asset__currency=Asset.USD,
    then=F('quantity') * F('price') * F('usd_price')
    ),
    default=F('quantity') * F('price'),
    output_field=models.DecimalField(),
    ),
    ).values(
    'date',
    ).annotate(
    total_value=Sum('clp_value')
    )


    The problem is this throws a KeyError: 'clp_value', I can't access the annotation after the call to .values('date'). If I add clp_value to the .values() call, I'll break the group-by because Django will try and group by unique (date, clp_value) pairs which is not what I'm trying to do.



    Any ideas?










    share|improve this question

























      0












      0








      0








      I'm trying to aggregate the total value of a shares model grouped by date. Looking at the Django docs I see I should be doing a call to .values('date') (so that Django does the annotation grouping the queryset by date) followed by my annotation. The queryset involves two subqueries:



                  prices = Quote.objects.filter(
      date=OuterRef('date'),
      asset=OuterRef('asset')
      ).order_by().values('price')
      usd_prices = Quote.objects.filter(
      asset__ticker='USDCLP',
      date=OuterRef('date'),
      ).order_by().values('price')
      shares_data = DailyShares.objects.filter(
      account=account,
      date__gte=start_date,
      ).order_by().annotate(
      price=Subquery(prices),
      usd_price=Subquery(usd_prices),
      clp_value=Case(
      When(
      asset__currency=Asset.USD,
      then=F('quantity') * F('price') * F('usd_price')
      ),
      default=F('quantity') * F('price'),
      output_field=models.DecimalField(),
      ),
      ).values(
      'date',
      ).annotate(
      total_value=Sum('clp_value')
      )


      The problem is this throws a KeyError: 'clp_value', I can't access the annotation after the call to .values('date'). If I add clp_value to the .values() call, I'll break the group-by because Django will try and group by unique (date, clp_value) pairs which is not what I'm trying to do.



      Any ideas?










      share|improve this question














      I'm trying to aggregate the total value of a shares model grouped by date. Looking at the Django docs I see I should be doing a call to .values('date') (so that Django does the annotation grouping the queryset by date) followed by my annotation. The queryset involves two subqueries:



                  prices = Quote.objects.filter(
      date=OuterRef('date'),
      asset=OuterRef('asset')
      ).order_by().values('price')
      usd_prices = Quote.objects.filter(
      asset__ticker='USDCLP',
      date=OuterRef('date'),
      ).order_by().values('price')
      shares_data = DailyShares.objects.filter(
      account=account,
      date__gte=start_date,
      ).order_by().annotate(
      price=Subquery(prices),
      usd_price=Subquery(usd_prices),
      clp_value=Case(
      When(
      asset__currency=Asset.USD,
      then=F('quantity') * F('price') * F('usd_price')
      ),
      default=F('quantity') * F('price'),
      output_field=models.DecimalField(),
      ),
      ).values(
      'date',
      ).annotate(
      total_value=Sum('clp_value')
      )


      The problem is this throws a KeyError: 'clp_value', I can't access the annotation after the call to .values('date'). If I add clp_value to the .values() call, I'll break the group-by because Django will try and group by unique (date, clp_value) pairs which is not what I'm trying to do.



      Any ideas?







      python django django-orm






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      asked Nov 16 '18 at 14:21









      Cristóbal MackenzieCristóbal Mackenzie

      315




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