forked from mirrors/bookwyrm
Use aggregate queries
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a24afdb6bf
1 changed files with 13 additions and 27 deletions
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@ -1,4 +1,4 @@
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from django.db.models import Case, When
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from django.db.models import Case, When, Avg, Sum
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from django.shortcuts import get_object_or_404
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from django.template.response import TemplateResponse
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from django.views import View
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@ -14,35 +14,25 @@ class AnnualSummary(View):
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user = request.user
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read_shelf = get_object_or_404(user.shelf_set, identifier="read")
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read_shelf_books_in_year = (
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read_book_ids_in_year = (
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models.ShelfBook.objects.filter(shelf=read_shelf)
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.filter(user=user)
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.filter(shelved_date__year=year)
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.order_by("shelved_date", "created_date", "updated_date")
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.values_list("book", flat=True)
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)
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read_book_ids_in_year = [i.book.id for i in read_shelf_books_in_year]
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preserved = Case(
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read_shelf_order = Case(
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*[When(pk=pk, then=pos) for pos, pk in enumerate(read_book_ids_in_year)]
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)
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read_books_in_year = models.Edition.objects.filter(
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id__in=read_book_ids_in_year
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).order_by(preserved)
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).order_by(read_shelf_order)
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"""pages stats queries"""
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read_books_with_pages = read_books_in_year.filter(pages__gte=0).order_by(
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"pages"
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)
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pages_list = [p.pages for p in read_books_with_pages]
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pages_total = 0
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pages_average = 0
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book_pages_lowest = 0
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book_pages_highest = 0
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if len(pages_list) > 0:
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pages_total = sum(pages_list)
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pages_average = round(sum(pages_list) / len(pages_list))
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book_pages_lowest = read_books_with_pages.first()
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book_pages_highest = read_books_with_pages.last()
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page_stats = read_books_in_year.aggregate(Sum("pages"), Avg("pages"))
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book_list_by_pages = read_books_in_year.filter(pages__gte=0).order_by("pages")
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book_pages_lowest = book_list_by_pages.first()
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book_pages_highest = book_list_by_pages.last()
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"""books with no pages"""
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no_page_list = len(read_books_in_year.filter(pages__exact=None))
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@ -55,23 +45,19 @@ class AnnualSummary(View):
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.filter(book_id__in=read_book_ids_in_year)
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)
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best_ratings_books_ids = [review.book.id for review in ratings.filter(rating=5)]
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rating_average = 0
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if len(ratings) > 0:
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ratings_list = [review.rating for review in ratings]
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rating_average = round(sum(ratings_list) / len(ratings_list), 2)
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ratings_stats = ratings.aggregate(Avg("rating"))
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data = {
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"year": year,
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"books_total": len(read_books_in_year),
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"books": read_books_in_year,
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"pages_total": pages_total,
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"pages_average": pages_average,
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"pages_total": page_stats["pages__sum"],
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"pages_average": page_stats["pages__avg"],
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"book_pages_lowest": book_pages_lowest,
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"book_pages_highest": book_pages_highest,
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"no_page_number": no_page_list,
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"ratings_total": len(ratings),
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"rating_average": rating_average,
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"rating_average": ratings_stats["rating__avg"],
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"book_rating_highest": ratings.order_by("-rating").first(),
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"best_ratings_books_ids": best_ratings_books_ids,
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}
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