Group by game instead of purchase
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f13ed8a078
commit
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@ -39,14 +39,14 @@
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</tr>
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</tr>
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</thead>
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</thead>
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<tbody>
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<tbody>
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{% for purchase in top_10_by_playtime %}
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{% for game in top_10_games_by_playtime %}
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<tr>
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<tr>
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<td class="px-2 sm:px-4 md:px-6 md:py-2 font-mono">
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<td class="px-2 sm:px-4 md:px-6 md:py-2 font-mono">
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<a href="{% url 'view_game' purchase.edition.game.id %}">{{ purchase.edition.name }}
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<a href="{% url 'view_game' game.id %}">{{ game.name }}
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</a>
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</a>
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</td>
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</td>
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<td class="px-2 sm:px-4 md:px-6 md:py-2 font-mono">{{ purchase.formatted_playtime }}</td>
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<td class="px-2 sm:px-4 md:px-6 md:py-2 font-mono">{{ game.formatted_playtime }}</td>
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</tr>
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</tr>
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{% endfor %}
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{% endfor %}
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</tbody>
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</tbody>
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@ -247,14 +247,20 @@ def stats(request, year: int = 0):
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timestamp_start__gte=first_day_of_year
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timestamp_start__gte=first_day_of_year
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).filter(timestamp_start__lt=last_day_of_year)
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).filter(timestamp_start__lt=last_day_of_year)
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year_purchases = Purchase.objects.filter(session__in=year_sessions).distinct()
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year_purchases = Purchase.objects.filter(session__in=year_sessions).distinct()
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year_purchases_with_playtime = year_purchases.annotate(
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games_with_playtime = (
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Game.objects.filter(edition__purchase__session__in=year_sessions)
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.annotate(
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total_playtime=Sum(
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total_playtime=Sum(
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F("session__duration_calculated") + F("session__duration_manual")
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F("edition__purchase__session__duration_calculated")
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+ F("edition__purchase__session__duration_manual")
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)
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)
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)
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)
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top_10_by_playtime = year_purchases_with_playtime.order_by("-total_playtime")[:10]
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.values("id", "name", "total_playtime")
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for purchase in top_10_by_playtime:
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)
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purchase.formatted_playtime = format_duration(purchase.total_playtime, "%2.0H")
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top_10_games_by_playtime = games_with_playtime.order_by("-total_playtime")[:10]
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for game in top_10_games_by_playtime:
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game["formatted_playtime"] = format_duration(game["total_playtime"], "%2.0H")
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total_playtime_per_platform = (
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total_playtime_per_platform = (
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year_sessions.values("purchase__platform__name") # Group by platform name
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year_sessions.values("purchase__platform__name") # Group by platform name
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@ -277,7 +283,7 @@ def stats(request, year: int = 0):
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"total_games": year_purchases.count(),
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"total_games": year_purchases.count(),
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"total_2023_games": year_purchases.filter(edition__year_released=year).count(),
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"total_2023_games": year_purchases.filter(edition__year_released=year).count(),
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"top_10_by_playtime_formatted": top_10_by_playtime,
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"top_10_by_playtime_formatted": top_10_by_playtime,
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"top_10_by_playtime": top_10_by_playtime,
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"top_10_games_by_playtime": top_10_games_by_playtime,
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"year": year,
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"year": year,
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"total_playtime_per_platform": total_playtime_per_platform,
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"total_playtime_per_platform": total_playtime_per_platform,
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}
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}
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