511 lines
20 KiB
Python
511 lines
20 KiB
Python
from typing import Any, Callable
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from django.contrib.auth.decorators import login_required
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from django.db.models import Avg, Count, ExpressionWrapper, F, Q, Sum, fields
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from django.db.models.functions import TruncDate, TruncMonth
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from django.db.models.manager import BaseManager
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from django.http import HttpRequest, HttpResponse, HttpResponseRedirect
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from django.shortcuts import redirect, render
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from django.urls import reverse
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from common.time import format_duration
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from common.utils import safe_division
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from games.models import Edition, Game, Platform, Purchase, Session
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dateformat: str = "%d/%m/%Y"
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datetimeformat: str = "%d/%m/%Y %H:%M"
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timeformat: str = "%H:%M"
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durationformat: str = "%2.1H hours"
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durationformat_manual: str = "%H hours"
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def model_counts(request: HttpRequest) -> dict[str, bool]:
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return {
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"game_available": Game.objects.exists(),
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"edition_available": Edition.objects.exists(),
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"platform_available": Platform.objects.exists(),
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"purchase_available": Purchase.objects.exists(),
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"session_count": Session.objects.exists(),
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}
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def use_custom_redirect(
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func: Callable[..., HttpResponse],
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) -> Callable[..., HttpResponse]:
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"""
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Will redirect to "return_path" session variable if set.
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"""
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def wrapper(request: HttpRequest, *args: Any, **kwargs: Any) -> HttpResponse:
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response = func(request, *args, **kwargs)
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if isinstance(response, HttpResponseRedirect) and (
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next_url := request.session.get("return_path")
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):
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return HttpResponseRedirect(next_url)
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return response
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return wrapper
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@login_required
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def stats_alltime(request: HttpRequest) -> HttpResponse:
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year = "Alltime"
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this_year_sessions = Session.objects.all().select_related("purchase__edition")
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this_year_sessions_with_durations = this_year_sessions.annotate(
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duration=ExpressionWrapper(
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F("timestamp_end") - F("timestamp_start"),
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output_field=fields.DurationField(),
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)
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)
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longest_session = this_year_sessions_with_durations.order_by("-duration").first()
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this_year_games = Game.objects.filter(
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edition__purchase__session__in=this_year_sessions
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).distinct()
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this_year_games_with_session_counts = this_year_games.annotate(
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session_count=Count("edition__purchase__session"),
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)
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game_highest_session_count = this_year_games_with_session_counts.order_by(
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"-session_count"
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).first()
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selected_currency = "CZK"
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unique_days = (
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this_year_sessions.annotate(date=TruncDate("timestamp_start"))
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.values("date")
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.distinct()
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.aggregate(dates=Count("date"))
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)
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this_year_played_purchases = Purchase.objects.filter(
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session__in=this_year_sessions
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).distinct()
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this_year_purchases = Purchase.objects.all()
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this_year_purchases_with_currency = this_year_purchases.select_related(
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"edition"
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).filter(price_currency__exact=selected_currency)
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this_year_purchases_without_refunded = this_year_purchases_with_currency.filter(
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date_refunded=None
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)
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this_year_purchases_refunded = this_year_purchases_with_currency.refunded()
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this_year_purchases_unfinished_dropped_nondropped = (
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this_year_purchases_without_refunded.filter(date_finished__isnull=True)
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.filter(infinite=False)
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.filter(Q(type=Purchase.GAME) | Q(type=Purchase.DLC))
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) # do not count battle passes etc.
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this_year_purchases_unfinished = (
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this_year_purchases_unfinished_dropped_nondropped.filter(
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date_dropped__isnull=True
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)
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)
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this_year_purchases_dropped = (
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this_year_purchases_unfinished_dropped_nondropped.filter(
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date_dropped__isnull=False
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)
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)
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this_year_purchases_without_refunded_count = (
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this_year_purchases_without_refunded.count()
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)
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this_year_purchases_unfinished_count = this_year_purchases_unfinished.count()
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this_year_purchases_unfinished_percent = int(
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safe_division(
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this_year_purchases_unfinished_count,
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this_year_purchases_without_refunded_count,
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)
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* 100
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)
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purchases_finished_this_year: BaseManager[Purchase] = Purchase.objects.finished()
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purchases_finished_this_year_released_this_year = (
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purchases_finished_this_year.all().order_by("date_finished")
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)
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purchased_this_year_finished_this_year = (
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this_year_purchases_without_refunded.all()
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).order_by("date_finished")
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this_year_spendings = this_year_purchases_without_refunded.aggregate(
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total_spent=Sum(F("price"))
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)
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total_spent = this_year_spendings["total_spent"] or 0
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games_with_playtime = (
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Game.objects.filter(edition__purchase__session__in=this_year_sessions)
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.annotate(
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total_playtime=Sum(
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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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.values("id", "name", "total_playtime")
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)
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month_playtimes = (
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this_year_sessions.annotate(month=TruncMonth("timestamp_start"))
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.values("month")
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.annotate(playtime=Sum("duration_calculated"))
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.order_by("month")
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)
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for month in month_playtimes:
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month["playtime"] = format_duration(month["playtime"], "%2.0H")
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highest_session_average_game = (
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Game.objects.filter(edition__purchase__session__in=this_year_sessions)
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.annotate(
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session_average=Avg("edition__purchase__session__duration_calculated")
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)
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.order_by("-session_average")
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.first()
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)
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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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this_year_sessions.values("purchase__platform__name")
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.annotate(total_playtime=Sum(F("duration_calculated") + F("duration_manual")))
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.annotate(platform_name=F("purchase__platform__name"))
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.values("platform_name", "total_playtime")
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.order_by("-total_playtime")
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)
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for item in total_playtime_per_platform:
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item["formatted_playtime"] = format_duration(item["total_playtime"], "%2.0H")
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backlog_decrease_count = (
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Purchase.objects.all().intersection(purchases_finished_this_year).count()
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)
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first_play_date = "N/A"
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last_play_date = "N/A"
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if this_year_sessions:
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first_session = this_year_sessions.earliest()
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first_play_game = first_session.purchase.edition.game
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first_play_date = first_session.timestamp_start.strftime("%x")
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last_session = this_year_sessions.latest()
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last_play_game = last_session.purchase.edition.game
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last_play_date = last_session.timestamp_start.strftime("%x")
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all_purchased_this_year_count = this_year_purchases_with_currency.count()
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all_purchased_refunded_this_year_count: int = this_year_purchases_refunded.count()
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this_year_purchases_dropped_count = this_year_purchases_dropped.count()
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this_year_purchases_dropped_percentage = int(
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safe_division(this_year_purchases_dropped_count, all_purchased_this_year_count)
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* 100
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)
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context = {
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"total_hours": format_duration(
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this_year_sessions.total_duration_unformatted(), "%2.0H"
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),
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"total_2023_games": this_year_played_purchases.all().count(),
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"top_10_games_by_playtime": top_10_games_by_playtime,
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"year": year,
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"total_playtime_per_platform": total_playtime_per_platform,
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"total_spent": total_spent,
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"total_spent_currency": selected_currency,
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"spent_per_game": int(
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safe_division(total_spent, this_year_purchases_without_refunded_count)
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),
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"this_year_finished_this_year_count": purchases_finished_this_year_released_this_year.count(),
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"total_sessions": this_year_sessions.count(),
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"unique_days": unique_days["dates"],
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"unique_days_percent": int(unique_days["dates"] / 365 * 100),
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"purchased_unfinished_count": this_year_purchases_unfinished_count,
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"unfinished_purchases_percent": this_year_purchases_unfinished_percent,
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"dropped_count": this_year_purchases_dropped_count,
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"dropped_percentage": this_year_purchases_dropped_percentage,
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"refunded_percent": int(
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safe_division(
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all_purchased_refunded_this_year_count,
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all_purchased_this_year_count,
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)
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* 100
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),
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"all_purchased_refunded_this_year": this_year_purchases_refunded,
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"all_purchased_refunded_this_year_count": all_purchased_refunded_this_year_count,
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"all_purchased_this_year_count": all_purchased_this_year_count,
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"backlog_decrease_count": backlog_decrease_count,
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"longest_session_time": (
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format_duration(longest_session.duration, "%2.0Hh %2.0mm")
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if longest_session
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else 0
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),
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"longest_session_game": (
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longest_session.purchase.edition.game if longest_session else None
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),
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"highest_session_count": (
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game_highest_session_count.session_count
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if game_highest_session_count
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else 0
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),
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"highest_session_count_game": (
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game_highest_session_count if game_highest_session_count else None
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),
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"highest_session_average": (
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format_duration(
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highest_session_average_game.session_average, "%2.0Hh %2.0mm"
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)
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if highest_session_average_game
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else 0
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),
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"highest_session_average_game": highest_session_average_game,
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"first_play_game": first_play_game,
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"first_play_date": first_play_date,
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"last_play_game": last_play_game,
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"last_play_date": last_play_date,
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"title": f"{year} Stats",
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}
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request.session["return_path"] = request.path
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return render(request, "stats.html", context)
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@login_required
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def stats(request: HttpRequest, year: int = 0) -> HttpResponse:
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selected_year = request.GET.get("year")
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if selected_year:
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return HttpResponseRedirect(reverse("stats_by_year", args=[selected_year]))
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if year == 0:
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return HttpResponseRedirect(reverse("stats_alltime"))
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this_year_sessions = Session.objects.filter(
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timestamp_start__year=year
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).select_related("purchase__edition")
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this_year_sessions_with_durations = this_year_sessions.annotate(
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duration=ExpressionWrapper(
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F("timestamp_end") - F("timestamp_start"),
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output_field=fields.DurationField(),
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)
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)
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longest_session = this_year_sessions_with_durations.order_by("-duration").first()
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this_year_games = Game.objects.filter(
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edition__purchase__session__in=this_year_sessions
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).distinct()
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this_year_games_with_session_counts = this_year_games.annotate(
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session_count=Count(
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"edition__purchase__session",
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filter=Q(edition__purchase__session__timestamp_start__year=year),
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)
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)
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game_highest_session_count = this_year_games_with_session_counts.order_by(
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"-session_count"
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).first()
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selected_currency = "CZK"
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unique_days = (
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this_year_sessions.annotate(date=TruncDate("timestamp_start"))
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.values("date")
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.distinct()
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.aggregate(dates=Count("date"))
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)
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this_year_played_purchases = Purchase.objects.filter(
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session__in=this_year_sessions
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).distinct()
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this_year_purchases = Purchase.objects.filter(date_purchased__year=year)
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this_year_purchases_with_currency = this_year_purchases.select_related(
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"edition"
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).filter(price_currency__exact=selected_currency)
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this_year_purchases_without_refunded = this_year_purchases_with_currency.filter(
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date_refunded=None
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)
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this_year_purchases_refunded = this_year_purchases_with_currency.refunded()
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this_year_purchases_unfinished_dropped_nondropped = (
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this_year_purchases_without_refunded.filter(date_finished__isnull=True)
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.filter(infinite=False)
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.filter(Q(type=Purchase.GAME) | Q(type=Purchase.DLC))
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) # do not count battle passes etc.
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this_year_purchases_unfinished = (
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this_year_purchases_unfinished_dropped_nondropped.filter(
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date_dropped__isnull=True
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)
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)
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this_year_purchases_dropped = (
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this_year_purchases_unfinished_dropped_nondropped.filter(
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date_dropped__isnull=False
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)
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)
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this_year_purchases_without_refunded_count = (
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this_year_purchases_without_refunded.count()
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)
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this_year_purchases_unfinished_count = this_year_purchases_unfinished.count()
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this_year_purchases_unfinished_percent = int(
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safe_division(
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this_year_purchases_unfinished_count,
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this_year_purchases_without_refunded_count,
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)
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* 100
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)
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purchases_finished_this_year = Purchase.objects.filter(date_finished__year=year)
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purchases_finished_this_year_released_this_year = (
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purchases_finished_this_year.filter(edition__year_released=year).order_by(
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"date_finished"
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)
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)
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purchased_this_year_finished_this_year = (
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this_year_purchases_without_refunded.filter(date_finished__year=year)
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).order_by("date_finished")
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this_year_spendings = this_year_purchases_without_refunded.aggregate(
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total_spent=Sum(F("price"))
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)
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total_spent = this_year_spendings["total_spent"] or 0
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games_with_playtime = (
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Game.objects.filter(edition__purchase__session__in=this_year_sessions)
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.annotate(
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total_playtime=Sum(
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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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.values("id", "name", "total_playtime")
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)
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month_playtimes = (
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this_year_sessions.annotate(month=TruncMonth("timestamp_start"))
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.values("month")
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.annotate(playtime=Sum("duration_calculated"))
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.order_by("month")
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)
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for month in month_playtimes:
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month["playtime"] = format_duration(month["playtime"], "%2.0H")
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highest_session_average_game = (
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Game.objects.filter(edition__purchase__session__in=this_year_sessions)
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.annotate(
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session_average=Avg("edition__purchase__session__duration_calculated")
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)
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.order_by("-session_average")
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.first()
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)
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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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this_year_sessions.values("purchase__platform__name")
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.annotate(total_playtime=Sum(F("duration_calculated") + F("duration_manual")))
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.annotate(platform_name=F("purchase__platform__name"))
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.values("platform_name", "total_playtime")
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.order_by("-total_playtime")
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)
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for item in total_playtime_per_platform:
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item["formatted_playtime"] = format_duration(item["total_playtime"], "%2.0H")
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backlog_decrease_count = (
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Purchase.objects.filter(date_purchased__year__lt=year)
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.intersection(purchases_finished_this_year)
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.count()
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)
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first_play_date = "N/A"
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last_play_date = "N/A"
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first_play_game = None
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last_play_game = None
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if this_year_sessions:
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first_session = this_year_sessions.earliest()
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first_play_game = first_session.purchase.edition.game
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first_play_date = first_session.timestamp_start.strftime("%x")
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last_session = this_year_sessions.latest()
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last_play_game = last_session.purchase.edition.game
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last_play_date = last_session.timestamp_start.strftime("%x")
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all_purchased_this_year_count = this_year_purchases_with_currency.count()
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all_purchased_refunded_this_year_count = this_year_purchases_refunded.count()
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this_year_purchases_dropped_count = this_year_purchases_dropped.count()
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this_year_purchases_dropped_percentage = int(
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safe_division(this_year_purchases_dropped_count, all_purchased_this_year_count)
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* 100
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)
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context = {
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"total_hours": format_duration(
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this_year_sessions.total_duration_unformatted(), "%2.0H"
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),
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"total_games": this_year_played_purchases.count(),
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"total_2023_games": this_year_played_purchases.filter(
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edition__year_released=year
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).count(),
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"top_10_games_by_playtime": top_10_games_by_playtime,
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"year": year,
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"total_playtime_per_platform": total_playtime_per_platform,
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"total_spent": total_spent,
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"total_spent_currency": selected_currency,
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"all_purchased_this_year": this_year_purchases_without_refunded,
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"spent_per_game": int(
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safe_division(total_spent, this_year_purchases_without_refunded_count)
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),
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"all_finished_this_year": purchases_finished_this_year.select_related(
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"edition"
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).order_by("date_finished"),
|
|
"all_finished_this_year_count": purchases_finished_this_year.count(),
|
|
"this_year_finished_this_year": purchases_finished_this_year_released_this_year.select_related(
|
|
"edition"
|
|
).order_by("date_finished"),
|
|
"this_year_finished_this_year_count": purchases_finished_this_year_released_this_year.count(),
|
|
"purchased_this_year_finished_this_year": purchased_this_year_finished_this_year.select_related(
|
|
"edition"
|
|
).order_by("date_finished"),
|
|
"total_sessions": this_year_sessions.count(),
|
|
"unique_days": unique_days["dates"],
|
|
"unique_days_percent": int(unique_days["dates"] / 365 * 100),
|
|
"purchased_unfinished": this_year_purchases_unfinished,
|
|
"purchased_unfinished_count": this_year_purchases_unfinished_count,
|
|
"unfinished_purchases_percent": this_year_purchases_unfinished_percent,
|
|
"dropped_count": this_year_purchases_dropped_count,
|
|
"dropped_percentage": this_year_purchases_dropped_percentage,
|
|
"refunded_percent": int(
|
|
safe_division(
|
|
all_purchased_refunded_this_year_count,
|
|
all_purchased_this_year_count,
|
|
)
|
|
* 100
|
|
),
|
|
"all_purchased_refunded_this_year": this_year_purchases_refunded,
|
|
"all_purchased_refunded_this_year_count": all_purchased_refunded_this_year_count,
|
|
"all_purchased_this_year": this_year_purchases_with_currency.order_by(
|
|
"date_purchased"
|
|
),
|
|
"all_purchased_this_year_count": all_purchased_this_year_count,
|
|
"backlog_decrease_count": backlog_decrease_count,
|
|
"longest_session_time": (
|
|
format_duration(longest_session.duration, "%2.0Hh %2.0mm")
|
|
if longest_session
|
|
else 0
|
|
),
|
|
"longest_session_game": (
|
|
longest_session.purchase.edition.game if longest_session else None
|
|
),
|
|
"highest_session_count": (
|
|
game_highest_session_count.session_count
|
|
if game_highest_session_count
|
|
else 0
|
|
),
|
|
"highest_session_count_game": (
|
|
game_highest_session_count if game_highest_session_count else None
|
|
),
|
|
"highest_session_average": (
|
|
format_duration(
|
|
highest_session_average_game.session_average, "%2.0Hh %2.0mm"
|
|
)
|
|
if highest_session_average_game
|
|
else 0
|
|
),
|
|
"highest_session_average_game": highest_session_average_game,
|
|
"first_play_game": first_play_game,
|
|
"first_play_date": first_play_date,
|
|
"last_play_game": last_play_game,
|
|
"last_play_date": last_play_date,
|
|
"title": f"{year} Stats",
|
|
"month_playtimes": month_playtimes,
|
|
}
|
|
|
|
request.session["return_path"] = request.path
|
|
return render(request, "stats.html", context)
|
|
|
|
|
|
@login_required
|
|
def index(request: HttpRequest) -> HttpResponse:
|
|
return redirect("list_sessions")
|