mirror of
https://github.com/vrcx-team/VRCX.git
synced 2026-04-06 00:32:02 +02:00
feat: Add online overlap visualization in user activity tab
This commit is contained in:
@@ -53,6 +53,80 @@
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style="width: 100%; height: 240px"
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@contextmenu.prevent="onChartRightClick">
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</div>
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<!-- Online Overlap Section -->
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<div v-if="hasAnyData" class="mt-4 border-t border-border pt-3">
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<div class="flex items-center justify-between mb-2">
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<div class="flex items-center gap-2">
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<span class="text-sm font-medium">{{ t('dialog.user.activity.overlap.header') }}</span>
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<Spinner v-if="isOverlapLoading" class="h-3.5 w-3.5" />
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</div>
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<div v-if="hasOverlapData" class="flex items-center gap-1.5 flex-shrink-0">
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<Switch
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:model-value="excludeHoursEnabled"
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class="scale-75"
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@update:model-value="onExcludeToggle" />
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<span class="text-sm text-muted-foreground whitespace-nowrap">{{ t('dialog.user.activity.overlap.exclude_hours') }}</span>
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<Select v-model="excludeStartHour" @update:model-value="onExcludeRangeChange">
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<SelectTrigger
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size="sm"
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class="w-[78px] h-6 text-xs px-2"
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@click.stop>
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<SelectValue />
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</SelectTrigger>
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<SelectContent>
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<SelectItem v-for="h in 24" :key="h - 1" :value="String(h - 1)">
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{{ String(h - 1).padStart(2, '0') }}:00
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</SelectItem>
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</SelectContent>
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</Select>
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<span class="text-xs text-muted-foreground">–</span>
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<Select v-model="excludeEndHour" @update:model-value="onExcludeRangeChange">
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<SelectTrigger
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size="sm"
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class="w-[78px] h-6 text-xs px-2"
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@click.stop>
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<SelectValue />
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</SelectTrigger>
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<SelectContent>
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<SelectItem v-for="h in 24" :key="h - 1" :value="String(h - 1)">
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{{ String(h - 1).padStart(2, '0') }}:00
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</SelectItem>
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</SelectContent>
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</Select>
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</div>
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</div>
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<div v-if="!isOverlapLoading && hasOverlapData" class="flex flex-col gap-1 mb-2">
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<div class="flex items-center gap-2">
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<span class="text-sm font-medium" :class="overlapPercent > 0 ? 'text-accent-foreground' : 'text-muted-foreground'">
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{{ overlapPercent }}%
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</span>
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<div class="flex-1 h-2 rounded-full bg-muted overflow-hidden">
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<div
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class="h-full rounded-full transition-all duration-500"
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:style="{
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width: `${overlapPercent}%`,
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backgroundColor: isDarkMode ? 'hsl(260, 60%, 55%)' : 'hsl(260, 55%, 50%)'
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}" />
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</div>
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</div>
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<div v-if="bestOverlapTime" class="text-sm">
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<span class="text-muted-foreground">{{ t('dialog.user.activity.overlap.peak_overlap') }}</span>
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<span class="font-medium ml-1">{{ bestOverlapTime }}</span>
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</div>
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</div>
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<div
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v-if="hasOverlapData"
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ref="overlapChartRef"
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style="width: 100%; height: 240px"
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@contextmenu.prevent="onOverlapChartRightClick" />
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<div v-if="!isOverlapLoading && !hasOverlapData && hasAnyData" class="text-sm text-muted-foreground py-2">
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{{ t('dialog.user.activity.overlap.no_data') }}
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</div>
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</div>
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</div>
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</template>
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@@ -61,7 +135,8 @@
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import { Button } from '@/components/ui/button';
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import { DataTableEmpty } from '@/components/ui/data-table';
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import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from '@/components/ui/select';
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import { RefreshCw, Tractor } from 'lucide-vue-next';
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import { Switch } from '@/components/ui/switch';
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import { RefreshCw, Tractor, Sprout } from 'lucide-vue-next';
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import { Spinner } from '@/components/ui/spinner';
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import { storeToRefs } from 'pinia';
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import { toast } from 'vue-sonner';
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@@ -71,7 +146,16 @@
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import dayjs from 'dayjs';
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import { database } from '../../../services/database';
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import configRepository from '../../../services/config';
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import { useAppearanceSettingsStore, useUserStore } from '../../../stores';
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import {
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buildSessionsFromEvents,
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buildSessionsFromGamelog,
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calculateOverlapGrid,
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filterSessionsByPeriod,
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findBestOverlapTime,
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aggregateSessionsToGrid
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} from '../../../shared/utils/overlapCalculator';
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const { t, locale } = useI18n();
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const { userDialog } = storeToRefs(useUserStore());
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@@ -86,10 +170,25 @@
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const selectedPeriod = ref('all');
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const filteredEventCount = ref(0);
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const overlapChartRef = ref(null);
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const isOverlapLoading = ref(false);
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const hasOverlapData = ref(false);
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const overlapPercent = ref(0);
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const bestOverlapTime = ref('');
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const excludeHoursEnabled = ref(false);
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const excludeStartHour = ref('1');
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const excludeEndHour = ref('6');
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let echartsInstance = null;
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let resizeObserver = null;
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let lastLoadedUserId = '';
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let overlapEchartsInstance = null;
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let overlapResizeObserver = null;
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let cachedTargetSessions = [];
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let cachedCurrentSessions = [];
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const dayLabels = computed(() => [
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t('dialog.user.activity.days.sun'),
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t('dialog.user.activity.days.mon'),
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@@ -128,16 +227,37 @@
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});
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}
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}
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if (overlapEchartsInstance) {
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overlapEchartsInstance.dispose();
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overlapEchartsInstance = null;
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if (hasOverlapData.value && overlapChartRef.value) {
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nextTick(() => {
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overlapEchartsInstance = echarts.init(
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overlapChartRef.value,
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isDarkMode.value ? 'dark' : null,
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{ height: 240 }
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);
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updateOverlapChart();
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});
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}
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}
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}
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watch(() => isDarkMode.value, rebuildChart);
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watch(locale, rebuildChart);
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watch(selectedPeriod, () => {
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if (cachedTimestamps.length > 0 && echartsInstance) {
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if (cachedTargetSessions.length > 0 && echartsInstance) {
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initChart();
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}
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updateOverlapChart();
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});
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(async () => {
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excludeHoursEnabled.value = await configRepository.getBool('VRCX_overlapExcludeEnabled', false);
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excludeStartHour.value = await configRepository.getString('VRCX_overlapExcludeStart', '1');
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excludeEndHour.value = await configRepository.getString('VRCX_overlapExcludeEnd', '6');
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})();
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onBeforeUnmount(() => {
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disposeChart();
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});
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@@ -151,42 +271,30 @@
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echartsInstance.dispose();
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echartsInstance = null;
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}
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if (overlapResizeObserver) {
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overlapResizeObserver.disconnect();
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overlapResizeObserver = null;
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}
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if (overlapEchartsInstance) {
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overlapEchartsInstance.dispose();
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overlapEchartsInstance = null;
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}
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}
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function getFilteredTimestamps() {
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if (selectedPeriod.value === 'all') return cachedTimestamps;
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function getFilteredSessions() {
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if (selectedPeriod.value === 'all') return cachedTargetSessions;
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const days = parseInt(selectedPeriod.value, 10);
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const cutoff = dayjs().subtract(days, 'day');
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return cachedTimestamps.filter((ts) => dayjs(ts).isAfter(cutoff));
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const cutoffMs = Date.now() - days * 24 * 60 * 60 * 1000;
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return filterSessionsByPeriod(cachedTargetSessions, cutoffMs);
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}
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/**
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* @param {string[]} timestamps
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* @returns {{ data: number[][], maxVal: number, peakText: string }}
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* Compute peak day/time from a 7×24 grid
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* @param grid
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* @returns {{peakDay: string, peakTime: string}}
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*/
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function aggregateHeatmapData(timestamps) {
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const grid = Array.from({ length: 7 }, () => new Array(24).fill(0));
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for (const ts of timestamps) {
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const d = dayjs(ts);
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const dayOfWeek = d.day(); // 0=Sun, 1=Mon, ..., 6=Sat
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const hour = d.hour();
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grid[dayOfWeek][hour]++;
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}
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const data = [];
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let maxVal = 0;
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for (let day = 0; day < 7; day++) {
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for (let hour = 0; hour < 24; hour++) {
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const count = grid[day][hour];
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const displayDay = day === 0 ? 6 : day - 1;
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data.push([hour, displayDay, count]);
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if (count > maxVal) maxVal = count;
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}
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}
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// Peak day: sum each day across all hours
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function computePeaks(grid) {
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// Peak day
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let peakDayResult = '';
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const daySums = new Array(7).fill(0);
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for (let day = 0; day < 7; day++) {
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@@ -206,7 +314,7 @@
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peakDayResult = dayLabels.value[maxDayIdx];
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}
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// Peak time: sum each hour across all days, find contiguous peak range
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// Peak time range
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let peakTimeResult = '';
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const hourSums = new Array(24).fill(0);
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for (let hour = 0; hour < 24; hour++) {
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@@ -235,29 +343,42 @@
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if (startHour === endHour) {
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peakTimeResult = `${String(startHour).padStart(2, '0')}:00`;
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} else {
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peakTimeResult = `${String(startHour).padStart(2, '0')}:00–${String(endHour + 1).padStart(2, '0')}:00`;
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peakTimeResult = `${String(startHour).padStart(2, '0')}:00\u2013${String(endHour + 1).padStart(2, '0')}:00`;
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}
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}
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return { data, maxVal, peakDayResult, peakTimeResult };
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return { peakDayResult, peakTimeResult };
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}
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function initChart() {
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if (!chartRef.value || !echartsInstance) return;
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const filtered = getFilteredTimestamps();
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filteredEventCount.value = filtered.length;
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totalOnlineEvents.value = filtered.length;
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const filteredSessions = getFilteredSessions();
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// Use timestamps for event count display
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const filteredTs = getFilteredTimestamps();
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filteredEventCount.value = filteredTs.length;
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totalOnlineEvents.value = filteredTs.length;
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if (filtered.length === 0) {
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if (filteredSessions.length === 0) {
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peakDayText.value = '';
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peakTimeText.value = '';
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return;
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}
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const { data, maxVal, peakDayResult, peakTimeResult } = aggregateHeatmapData(filtered);
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const { grid, maxVal } = aggregateSessionsToGrid(filteredSessions);
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const { peakDayResult, peakTimeResult } = computePeaks(grid);
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peakDayText.value = peakDayResult;
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peakTimeText.value = peakTimeResult;
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const data = [];
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for (let day = 0; day < 7; day++) {
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for (let hour = 0; hour < 24; hour++) {
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const count = grid[day][hour];
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const displayDay = day === 0 ? 6 : day - 1;
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data.push([hour, displayDay, count]);
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}
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}
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const option = {
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tooltip: {
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position: 'top',
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@@ -352,10 +473,15 @@
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const requestId = ++activeRequestId;
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isLoading.value = true;
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try {
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const timestamps = await database.getOnlineFrequencyData(userId);
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const [timestamps, events] = await Promise.all([
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database.getOnlineFrequencyData(userId),
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database.getOnlineOfflineSessions(userId)
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]);
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if (requestId !== activeRequestId) return;
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if (userDialog.value.id !== userId) return;
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cachedTimestamps = timestamps;
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cachedTargetSessions = buildSessionsFromEvents(events);
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hasAnyData.value = timestamps.length > 0;
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totalOnlineEvents.value = timestamps.length;
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lastLoadedUserId = userId;
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@@ -363,8 +489,8 @@
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await nextTick();
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if (timestamps.length > 0) {
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const filtered = getFilteredTimestamps();
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filteredEventCount.value = filtered.length;
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const filteredTs = getFilteredTimestamps();
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filteredEventCount.value = filteredTs.length;
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await nextTick();
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@@ -399,6 +525,18 @@
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isLoading.value = false;
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}
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}
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// Load overlap data after main data (target sessions already cached)
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if (hasAnyData.value) {
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loadOverlapData(userId);
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}
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}
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function getFilteredTimestamps() {
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if (selectedPeriod.value === 'all') return cachedTimestamps;
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const days = parseInt(selectedPeriod.value, 10);
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const cutoff = dayjs().subtract(days, 'day');
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return cachedTimestamps.filter((ts) => dayjs(ts).isAfter(cutoff));
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}
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/**
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@@ -411,8 +549,250 @@
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loadData();
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}
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let easterEggTimer = null;
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function onChartRightClick() {
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toast(t('dialog.user.activity.easter_egg'), { position: 'bottom-center', icon: h(Tractor) });
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clearTimeout(easterEggTimer);
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easterEggTimer = setTimeout(() => {
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easterEggTimer = null;
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}, 5000);
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}
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function onOverlapChartRightClick() {
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if (easterEggTimer) {
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toast('You can\'t farm this.', { position: 'bottom-center', icon: h(Sprout) });
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}
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}
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async function loadOverlapData(userId) {
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if (!userId) return;
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isOverlapLoading.value = true;
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hasOverlapData.value = false;
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try {
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// Target sessions already cached from loadData, only fetch current user
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const currentUserRows = await database.getCurrentUserOnlineSessions();
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if (userDialog.value.id !== userId) return;
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const currentSessions = buildSessionsFromGamelog(currentUserRows);
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if (cachedTargetSessions.length === 0 || currentSessions.length === 0) {
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hasOverlapData.value = false;
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return;
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}
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cachedCurrentSessions = currentSessions;
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hasOverlapData.value = true;
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await nextTick();
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if (!overlapEchartsInstance && overlapChartRef.value) {
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overlapEchartsInstance = echarts.init(
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overlapChartRef.value,
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isDarkMode.value ? 'dark' : null,
|
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{ height: 240 }
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);
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overlapResizeObserver = new ResizeObserver((entries) => {
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for (const entry of entries) {
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if (overlapEchartsInstance) {
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overlapEchartsInstance.resize({
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width: entry.contentRect.width
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});
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}
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}
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});
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overlapResizeObserver.observe(overlapChartRef.value);
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||||
}
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updateOverlapChart();
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} catch (error) {
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console.error('Error loading overlap data:', error);
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hasOverlapData.value = false;
|
||||
} finally {
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isOverlapLoading.value = false;
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||||
}
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||||
}
|
||||
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function updateOverlapChart() {
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if (cachedTargetSessions.length === 0 || cachedCurrentSessions.length === 0) return;
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||||
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||||
let targetSessions = cachedTargetSessions;
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||||
let currentSessions = cachedCurrentSessions;
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||||
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||||
if (selectedPeriod.value !== 'all') {
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||||
const days = parseInt(selectedPeriod.value, 10);
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||||
const cutoffMs = Date.now() - days * 24 * 60 * 60 * 1000;
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||||
targetSessions = filterSessionsByPeriod(targetSessions, cutoffMs);
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||||
currentSessions = filterSessionsByPeriod(currentSessions, cutoffMs);
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||||
}
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||||
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||||
if (targetSessions.length === 0 || currentSessions.length === 0) {
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||||
overlapPercent.value = 0;
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||||
bestOverlapTime.value = '';
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||||
return;
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||||
}
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||||
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||||
const result = calculateOverlapGrid(currentSessions, targetSessions);
|
||||
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// Apply hour exclusion to the grid
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if (excludeHoursEnabled.value) {
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||||
const start = parseInt(excludeStartHour.value, 10);
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||||
const end = parseInt(excludeEndHour.value, 10);
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||||
applyHourExclusion(result.grid, start, end);
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// Recalculate maxVal after exclusion
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result.maxVal = 0;
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||||
for (let d = 0; d < 7; d++) {
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for (let h = 0; h < 24; h++) {
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if (result.grid[d][h] > result.maxVal) result.maxVal = result.grid[d][h];
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||||
}
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||||
}
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||||
// Recalculate overlap percent excluding those hours
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||||
const totalGrid = result.grid.flat().reduce((a, b) => a + b, 0);
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||||
if (totalGrid === 0) {
|
||||
overlapPercent.value = 0;
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||||
bestOverlapTime.value = '';
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
overlapPercent.value = result.overlapPercent;
|
||||
bestOverlapTime.value = findBestOverlapTime(result.grid, dayLabels.value);
|
||||
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||||
if (result.overlapPercent > 0 || result.maxVal > 0) {
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||||
initOverlapChart(result);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Zero out hours in the grid that fall within the exclusion range.
|
||||
* Supports wrapping (e.g. 23 to 5 means 23,0,1,2,3,4).
|
||||
* @param grid
|
||||
* @param startHour
|
||||
* @param endHour
|
||||
* @returns {void}
|
||||
*/
|
||||
function applyHourExclusion(grid, startHour, endHour) {
|
||||
for (let d = 0; d < 7; d++) {
|
||||
if (startHour <= endHour) {
|
||||
for (let h = startHour; h < endHour; h++) {
|
||||
grid[d][h] = 0;
|
||||
}
|
||||
} else {
|
||||
for (let h = startHour; h < 24; h++) {
|
||||
grid[d][h] = 0;
|
||||
}
|
||||
for (let h = 0; h < endHour; h++) {
|
||||
grid[d][h] = 0;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function onExcludeToggle(value) {
|
||||
excludeHoursEnabled.value = value;
|
||||
configRepository.setBool('VRCX_overlapExcludeEnabled', value);
|
||||
updateOverlapChart();
|
||||
}
|
||||
|
||||
function onExcludeRangeChange() {
|
||||
configRepository.setString('VRCX_overlapExcludeStart', excludeStartHour.value);
|
||||
configRepository.setString('VRCX_overlapExcludeEnd', excludeEndHour.value);
|
||||
updateOverlapChart();
|
||||
}
|
||||
|
||||
function initOverlapChart(result) {
|
||||
if (!overlapEchartsInstance) return;
|
||||
|
||||
const data = [];
|
||||
for (let day = 0; day < 7; day++) {
|
||||
for (let hour = 0; hour < 24; hour++) {
|
||||
const count = result.grid[day][hour];
|
||||
const displayDay = day === 0 ? 6 : day - 1;
|
||||
data.push([hour, displayDay, count]);
|
||||
}
|
||||
}
|
||||
|
||||
const option = {
|
||||
tooltip: {
|
||||
position: 'top',
|
||||
formatter: (params) => {
|
||||
const [hour, dayIdx, count] = params.data;
|
||||
const dayName = displayDayLabels.value[dayIdx];
|
||||
return `${dayName} ${hourLabels[hour]}<br/><b>${count}</b> ${t('dialog.user.activity.overlap.times_overlap')}`;
|
||||
}
|
||||
},
|
||||
grid: {
|
||||
top: 6,
|
||||
left: 42,
|
||||
right: 16,
|
||||
bottom: 32
|
||||
},
|
||||
xAxis: {
|
||||
type: 'category',
|
||||
data: hourLabels,
|
||||
splitArea: { show: false },
|
||||
axisLabel: {
|
||||
interval: 2,
|
||||
fontSize: 10
|
||||
},
|
||||
axisTick: { show: false }
|
||||
},
|
||||
yAxis: {
|
||||
type: 'category',
|
||||
data: displayDayLabels.value,
|
||||
splitArea: { show: false },
|
||||
axisLabel: {
|
||||
fontSize: 11
|
||||
},
|
||||
axisTick: { show: false }
|
||||
},
|
||||
visualMap: {
|
||||
min: 0,
|
||||
max: Math.max(result.maxVal, 1),
|
||||
calculable: false,
|
||||
show: false,
|
||||
inRange: {
|
||||
color: isDarkMode.value
|
||||
? [
|
||||
'hsl(220, 15%, 12%)',
|
||||
'hsl(260, 30%, 25%)',
|
||||
'hsl(260, 50%, 42%)',
|
||||
'hsl(260, 65%, 55%)',
|
||||
'hsl(260, 70%, 65%)'
|
||||
]
|
||||
: [
|
||||
'hsl(210, 30%, 95%)',
|
||||
'hsl(260, 35%, 82%)',
|
||||
'hsl(260, 48%, 62%)',
|
||||
'hsl(260, 55%, 48%)',
|
||||
'hsl(260, 60%, 38%)'
|
||||
]
|
||||
}
|
||||
},
|
||||
series: [
|
||||
{
|
||||
type: 'heatmap',
|
||||
data,
|
||||
emphasis: {
|
||||
itemStyle: {
|
||||
shadowBlur: 6,
|
||||
shadowColor: 'rgba(0, 0, 0, 0.3)'
|
||||
}
|
||||
},
|
||||
itemStyle: {
|
||||
borderWidth: 1.5,
|
||||
borderColor: isDarkMode.value ? 'hsl(220, 15%, 8%)' : 'hsl(0, 0%, 100%)',
|
||||
borderRadius: 2
|
||||
}
|
||||
}
|
||||
],
|
||||
backgroundColor: 'transparent'
|
||||
};
|
||||
|
||||
overlapEchartsInstance.setOption(option, { notMerge: true });
|
||||
}
|
||||
|
||||
defineExpose({ loadOnlineFrequency });
|
||||
|
||||
@@ -1433,7 +1433,14 @@
|
||||
"sat": "Sat",
|
||||
"sun": "Sun"
|
||||
},
|
||||
"easter_egg": "Did you farm your green squares today?"
|
||||
"easter_egg": "Did you farm your green squares today?",
|
||||
"overlap": {
|
||||
"header": "Online Overlap",
|
||||
"peak_overlap": "Peak overlap:",
|
||||
"exclude_hours": "Exclude hours",
|
||||
"no_data": "Not enough data to calculate overlap",
|
||||
"times_overlap": "times overlapping"
|
||||
}
|
||||
},
|
||||
"note_memo": {
|
||||
"header": "Edit Note And Memo",
|
||||
|
||||
@@ -606,6 +606,23 @@ const feed = {
|
||||
return data;
|
||||
},
|
||||
|
||||
/**
|
||||
* Get Online and Offline events for a user to build sessions
|
||||
* @param {string} userId
|
||||
* @returns {Promise<Array<{created_at: string, type: string}>>}
|
||||
*/
|
||||
async getOnlineOfflineSessions(userId) {
|
||||
const data = [];
|
||||
await sqliteService.execute(
|
||||
(dbRow) => {
|
||||
data.push({ created_at: dbRow[0], type: dbRow[1] });
|
||||
},
|
||||
`SELECT created_at, type FROM ${dbVars.userPrefix}_feed_online_offline WHERE user_id = @userId AND (type = 'Online' OR type = 'Offline') ORDER BY created_at`,
|
||||
{ '@userId': userId }
|
||||
);
|
||||
return data;
|
||||
},
|
||||
|
||||
/**
|
||||
* @param {number} days - Number of days to look back
|
||||
* @param {number} limit - Max number of worlds to return
|
||||
|
||||
@@ -1372,6 +1372,23 @@ const gameLog = {
|
||||
return instances;
|
||||
},
|
||||
|
||||
/**
|
||||
* Get current user's online sessions from gamelog_location
|
||||
* Each row has created_at (leave time) and time (duration in ms)
|
||||
* Session start = created_at - time, Session end = created_at
|
||||
* @returns {Promise<Array<{created_at: string, time: number}>>}
|
||||
*/
|
||||
async getCurrentUserOnlineSessions() {
|
||||
const data = [];
|
||||
await sqliteService.execute(
|
||||
(dbRow) => {
|
||||
data.push({ created_at: dbRow[0], time: dbRow[1] || 0 });
|
||||
},
|
||||
`SELECT created_at, time FROM gamelog_location ORDER BY created_at`
|
||||
);
|
||||
return data;
|
||||
},
|
||||
|
||||
async getUserIdFromDisplayName(displayName) {
|
||||
var userId = '';
|
||||
await sqliteService.execute(
|
||||
|
||||
340
src/shared/utils/__tests__/overlapCalculator.test.js
Normal file
340
src/shared/utils/__tests__/overlapCalculator.test.js
Normal file
@@ -0,0 +1,340 @@
|
||||
import { describe, expect, test, vi, beforeEach, afterEach } from 'vitest';
|
||||
import {
|
||||
buildSessionsFromEvents,
|
||||
buildSessionsFromGamelog,
|
||||
filterSessionsByPeriod,
|
||||
calculateOverlapGrid,
|
||||
aggregateSessionsToGrid,
|
||||
findBestOverlapTime
|
||||
} from '../overlapCalculator.js';
|
||||
|
||||
// Helper: create a UTC date string
|
||||
function utc(dateStr) {
|
||||
return new Date(dateStr).toISOString();
|
||||
}
|
||||
|
||||
// Helper: create a timestamp from UTC string
|
||||
function ts(dateStr) {
|
||||
return new Date(dateStr).getTime();
|
||||
}
|
||||
|
||||
describe('buildSessionsFromEvents', () => {
|
||||
test('returns empty array for empty input', () => {
|
||||
expect(buildSessionsFromEvents([])).toEqual([]);
|
||||
});
|
||||
|
||||
test('builds a single session from Online→Offline pair', () => {
|
||||
const events = [
|
||||
{ created_at: utc('2025-01-06T10:00:00Z'), type: 'Online' },
|
||||
{ created_at: utc('2025-01-06T12:00:00Z'), type: 'Offline' }
|
||||
];
|
||||
const result = buildSessionsFromEvents(events);
|
||||
expect(result).toEqual([
|
||||
{ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T12:00:00Z') }
|
||||
]);
|
||||
});
|
||||
|
||||
test('builds multiple sessions', () => {
|
||||
const events = [
|
||||
{ created_at: utc('2025-01-06T10:00:00Z'), type: 'Online' },
|
||||
{ created_at: utc('2025-01-06T12:00:00Z'), type: 'Offline' },
|
||||
{ created_at: utc('2025-01-06T14:00:00Z'), type: 'Online' },
|
||||
{ created_at: utc('2025-01-06T16:00:00Z'), type: 'Offline' }
|
||||
];
|
||||
const result = buildSessionsFromEvents(events);
|
||||
expect(result).toHaveLength(2);
|
||||
expect(result[0]).toEqual({ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T12:00:00Z') });
|
||||
expect(result[1]).toEqual({ start: ts('2025-01-06T14:00:00Z'), end: ts('2025-01-06T16:00:00Z') });
|
||||
});
|
||||
|
||||
test('handles consecutive Online events (closes previous session)', () => {
|
||||
const events = [
|
||||
{ created_at: utc('2025-01-06T10:00:00Z'), type: 'Online' },
|
||||
{ created_at: utc('2025-01-06T12:00:00Z'), type: 'Online' },
|
||||
{ created_at: utc('2025-01-06T14:00:00Z'), type: 'Offline' }
|
||||
];
|
||||
const result = buildSessionsFromEvents(events);
|
||||
expect(result).toHaveLength(2);
|
||||
expect(result[0]).toEqual({ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T12:00:00Z') });
|
||||
expect(result[1]).toEqual({ start: ts('2025-01-06T12:00:00Z'), end: ts('2025-01-06T14:00:00Z') });
|
||||
});
|
||||
|
||||
test('ignores Offline without preceding Online', () => {
|
||||
const events = [
|
||||
{ created_at: utc('2025-01-06T10:00:00Z'), type: 'Offline' },
|
||||
{ created_at: utc('2025-01-06T12:00:00Z'), type: 'Online' },
|
||||
{ created_at: utc('2025-01-06T14:00:00Z'), type: 'Offline' }
|
||||
];
|
||||
const result = buildSessionsFromEvents(events);
|
||||
expect(result).toHaveLength(1);
|
||||
expect(result[0]).toEqual({ start: ts('2025-01-06T12:00:00Z'), end: ts('2025-01-06T14:00:00Z') });
|
||||
});
|
||||
|
||||
test('does not close session if no Offline follows', () => {
|
||||
const events = [
|
||||
{ created_at: utc('2025-01-06T10:00:00Z'), type: 'Online' }
|
||||
];
|
||||
const result = buildSessionsFromEvents(events);
|
||||
expect(result).toEqual([]);
|
||||
});
|
||||
});
|
||||
|
||||
describe('buildSessionsFromGamelog', () => {
|
||||
test('returns empty array for empty input', () => {
|
||||
expect(buildSessionsFromGamelog([])).toEqual([]);
|
||||
});
|
||||
|
||||
test('builds session with known duration', () => {
|
||||
const rows = [
|
||||
{ created_at: utc('2025-01-06T10:00:00Z'), time: 7200000 } // 2h
|
||||
];
|
||||
const result = buildSessionsFromGamelog(rows);
|
||||
expect(result).toEqual([
|
||||
{ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T12:00:00Z') }
|
||||
]);
|
||||
});
|
||||
|
||||
test('estimates duration from next row when time=0', () => {
|
||||
const rows = [
|
||||
{ created_at: utc('2025-01-06T10:00:00Z'), time: 0 },
|
||||
{ created_at: utc('2025-01-06T12:00:00Z'), time: 3600000 }
|
||||
];
|
||||
const result = buildSessionsFromGamelog(rows);
|
||||
// First session: estimated end = next row start (12:00)
|
||||
// Second session: 12:00 + 1h = 13:00
|
||||
// Gap between them is 0ms, so they merge
|
||||
expect(result).toHaveLength(1);
|
||||
expect(result[0].start).toBe(ts('2025-01-06T10:00:00Z'));
|
||||
expect(result[0].end).toBe(ts('2025-01-06T13:00:00Z'));
|
||||
});
|
||||
|
||||
test('caps duration at 24h for last row with time=0', () => {
|
||||
const now = Date.now();
|
||||
const longAgo = new Date(now - 48 * 3600000).toISOString(); // 48h ago
|
||||
const rows = [
|
||||
{ created_at: longAgo, time: 0 }
|
||||
];
|
||||
const result = buildSessionsFromGamelog(rows);
|
||||
expect(result).toHaveLength(1);
|
||||
const duration = result[0].end - result[0].start;
|
||||
expect(duration).toBe(24 * 3600000);
|
||||
});
|
||||
|
||||
test('merges adjacent sessions within default gap (5min)', () => {
|
||||
const rows = [
|
||||
{ created_at: utc('2025-01-06T10:00:00Z'), time: 3600000 }, // 10:00-11:00
|
||||
{ created_at: utc('2025-01-06T11:03:00Z'), time: 3600000 } // 11:03-12:03 (3min gap)
|
||||
];
|
||||
const result = buildSessionsFromGamelog(rows);
|
||||
expect(result).toHaveLength(1);
|
||||
expect(result[0].start).toBe(ts('2025-01-06T10:00:00Z'));
|
||||
expect(result[0].end).toBe(ts('2025-01-06T12:03:00Z'));
|
||||
});
|
||||
|
||||
test('does not merge sessions with gap exceeding mergeGapMs', () => {
|
||||
const rows = [
|
||||
{ created_at: utc('2025-01-06T10:00:00Z'), time: 3600000 }, // 10:00-11:00
|
||||
{ created_at: utc('2025-01-06T12:00:00Z'), time: 3600000 } // 12:00-13:00 (1h gap)
|
||||
];
|
||||
const result = buildSessionsFromGamelog(rows);
|
||||
expect(result).toHaveLength(2);
|
||||
});
|
||||
|
||||
test('respects custom mergeGapMs', () => {
|
||||
const rows = [
|
||||
{ created_at: utc('2025-01-06T10:00:00Z'), time: 3600000 }, // 10:00-11:00
|
||||
{ created_at: utc('2025-01-06T11:03:00Z'), time: 3600000 } // 11:03-12:03
|
||||
];
|
||||
// Custom gap: 1 minute → should NOT merge (3min gap > 1min threshold)
|
||||
const result = buildSessionsFromGamelog(rows, 60000);
|
||||
expect(result).toHaveLength(2);
|
||||
});
|
||||
});
|
||||
|
||||
describe('filterSessionsByPeriod', () => {
|
||||
const sessions = [
|
||||
{ start: ts('2025-01-01T00:00:00Z'), end: ts('2025-01-01T02:00:00Z') },
|
||||
{ start: ts('2025-01-10T00:00:00Z'), end: ts('2025-01-10T02:00:00Z') },
|
||||
{ start: ts('2025-01-20T00:00:00Z'), end: ts('2025-01-20T02:00:00Z') }
|
||||
];
|
||||
|
||||
test('returns all sessions when cutoff is before all', () => {
|
||||
const cutoff = ts('2024-12-01T00:00:00Z');
|
||||
const result = filterSessionsByPeriod(sessions, cutoff);
|
||||
expect(result).toHaveLength(3);
|
||||
});
|
||||
|
||||
test('filters out sessions ending before cutoff', () => {
|
||||
const cutoff = ts('2025-01-05T00:00:00Z');
|
||||
const result = filterSessionsByPeriod(sessions, cutoff);
|
||||
expect(result).toHaveLength(2);
|
||||
expect(result[0].start).toBe(ts('2025-01-10T00:00:00Z'));
|
||||
});
|
||||
|
||||
test('clamps session start to cutoff when session spans cutoff', () => {
|
||||
const cutoff = ts('2025-01-10T01:00:00Z'); // mid-session
|
||||
const result = filterSessionsByPeriod(sessions, cutoff);
|
||||
expect(result).toHaveLength(2);
|
||||
// First result should have start clamped to cutoff
|
||||
expect(result[0].start).toBe(cutoff);
|
||||
expect(result[0].end).toBe(ts('2025-01-10T02:00:00Z'));
|
||||
});
|
||||
|
||||
test('returns empty for all sessions before cutoff', () => {
|
||||
const cutoff = ts('2025-02-01T00:00:00Z');
|
||||
const result = filterSessionsByPeriod(sessions, cutoff);
|
||||
expect(result).toHaveLength(0);
|
||||
});
|
||||
});
|
||||
|
||||
describe('calculateOverlapGrid', () => {
|
||||
test('returns zero overlap for non-overlapping sessions', () => {
|
||||
const sessionsA = [{ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T12:00:00Z') }];
|
||||
const sessionsB = [{ start: ts('2025-01-06T14:00:00Z'), end: ts('2025-01-06T16:00:00Z') }];
|
||||
const result = calculateOverlapGrid(sessionsA, sessionsB);
|
||||
expect(result.overlapPercent).toBe(0);
|
||||
expect(result.totalOverlapMs).toBe(0);
|
||||
expect(result.maxVal).toBe(0);
|
||||
});
|
||||
|
||||
test('calculates full overlap for identical sessions', () => {
|
||||
const sessionsA = [{ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T12:00:00Z') }];
|
||||
const sessionsB = [{ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T12:00:00Z') }];
|
||||
const result = calculateOverlapGrid(sessionsA, sessionsB);
|
||||
expect(result.overlapPercent).toBe(100);
|
||||
expect(result.totalOverlapMs).toBe(2 * 3600000);
|
||||
});
|
||||
|
||||
test('calculates partial overlap', () => {
|
||||
// A: 10:00-14:00 (4h), B: 12:00-16:00 (4h)
|
||||
// Overlap: 12:00-14:00 (2h) = 50%
|
||||
const sessionsA = [{ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T14:00:00Z') }];
|
||||
const sessionsB = [{ start: ts('2025-01-06T12:00:00Z'), end: ts('2025-01-06T16:00:00Z') }];
|
||||
const result = calculateOverlapGrid(sessionsA, sessionsB);
|
||||
expect(result.overlapPercent).toBe(50);
|
||||
expect(result.totalOverlapMs).toBe(2 * 3600000);
|
||||
});
|
||||
|
||||
test('returns correct grid dimensions', () => {
|
||||
const sessionsA = [{ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T12:00:00Z') }];
|
||||
const sessionsB = [{ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T12:00:00Z') }];
|
||||
const result = calculateOverlapGrid(sessionsA, sessionsB);
|
||||
expect(result.grid).toHaveLength(7);
|
||||
for (const row of result.grid) {
|
||||
expect(row).toHaveLength(24);
|
||||
}
|
||||
});
|
||||
|
||||
test('populates grid at correct day/hour slots', () => {
|
||||
// 2025-01-06 is Monday, getDay()=1
|
||||
const sessionsA = [{ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T12:00:00Z') }];
|
||||
const sessionsB = [{ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T12:00:00Z') }];
|
||||
const result = calculateOverlapGrid(sessionsA, sessionsB);
|
||||
// day=1 (Monday), hours 10 and 11 should have value
|
||||
// Note: getDay() returns local day, getHours() returns local hour
|
||||
// Using UTC dates, so the actual slot depends on timezone
|
||||
expect(result.maxVal).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
test('handles empty sessionsA', () => {
|
||||
const sessionsB = [{ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T12:00:00Z') }];
|
||||
const result = calculateOverlapGrid([], sessionsB);
|
||||
expect(result.overlapPercent).toBe(0);
|
||||
expect(result.totalOverlapMs).toBe(0);
|
||||
});
|
||||
|
||||
test('handles empty sessionsB', () => {
|
||||
const sessionsA = [{ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T12:00:00Z') }];
|
||||
const result = calculateOverlapGrid(sessionsA, []);
|
||||
expect(result.overlapPercent).toBe(0);
|
||||
expect(result.totalOverlapMs).toBe(0);
|
||||
});
|
||||
|
||||
test('overlap percent is based on the shorter online time', () => {
|
||||
// A: 2h online, B: 4h online, overlap: 2h → 2/2 = 100%
|
||||
const sessionsA = [{ start: ts('2025-01-06T12:00:00Z'), end: ts('2025-01-06T14:00:00Z') }];
|
||||
const sessionsB = [{ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T14:00:00Z') }];
|
||||
const result = calculateOverlapGrid(sessionsA, sessionsB);
|
||||
expect(result.overlapPercent).toBe(100);
|
||||
expect(result.totalUserAMs).toBe(2 * 3600000);
|
||||
expect(result.totalUserBMs).toBe(4 * 3600000);
|
||||
});
|
||||
});
|
||||
|
||||
describe('aggregateSessionsToGrid', () => {
|
||||
test('returns empty grid for no sessions', () => {
|
||||
const result = aggregateSessionsToGrid([]);
|
||||
expect(result.maxVal).toBe(0);
|
||||
expect(result.grid).toHaveLength(7);
|
||||
for (const row of result.grid) {
|
||||
expect(row.every((v) => v === 0)).toBe(true);
|
||||
}
|
||||
});
|
||||
|
||||
test('increments grid for session hours', () => {
|
||||
// A 3-hour session should increment 3 hour slots
|
||||
const sessions = [{ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T13:00:00Z') }];
|
||||
const result = aggregateSessionsToGrid(sessions);
|
||||
const total = result.grid.flat().reduce((a, b) => a + b, 0);
|
||||
expect(total).toBe(3);
|
||||
expect(result.maxVal).toBe(1);
|
||||
});
|
||||
|
||||
test('stacks multiple sessions on same hour', () => {
|
||||
// Two sessions on the same day/hour
|
||||
const sessions = [
|
||||
{ start: ts('2025-01-06T10:00:00Z'), end: ts('2025-01-06T11:00:00Z') },
|
||||
{ start: ts('2025-01-13T10:00:00Z'), end: ts('2025-01-13T11:00:00Z') } // Same weekday, 1 week later
|
||||
];
|
||||
const result = aggregateSessionsToGrid(sessions);
|
||||
expect(result.maxVal).toBe(2);
|
||||
});
|
||||
});
|
||||
|
||||
describe('findBestOverlapTime', () => {
|
||||
const dayLabels = ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'];
|
||||
|
||||
test('returns empty string for all-zero grid', () => {
|
||||
const grid = Array.from({ length: 7 }, () => new Array(24).fill(0));
|
||||
expect(findBestOverlapTime(grid, dayLabels)).toBe('');
|
||||
});
|
||||
|
||||
test('returns single hour when only one slot has data', () => {
|
||||
const grid = Array.from({ length: 7 }, () => new Array(24).fill(0));
|
||||
grid[1][14] = 5; // Monday 14:00
|
||||
const result = findBestOverlapTime(grid, dayLabels);
|
||||
expect(result).toBe('Mon, 14:00');
|
||||
});
|
||||
|
||||
test('returns time range for adjacent high hours', () => {
|
||||
const grid = Array.from({ length: 7 }, () => new Array(24).fill(0));
|
||||
// Saturday (6) has strong activity at 20, 21, 22
|
||||
grid[6][20] = 10;
|
||||
grid[6][21] = 10;
|
||||
grid[6][22] = 10;
|
||||
const result = findBestOverlapTime(grid, dayLabels);
|
||||
expect(result).toContain('Sat');
|
||||
expect(result).toContain('20:00');
|
||||
expect(result).toContain('23:00');
|
||||
});
|
||||
|
||||
test('picks the day with highest overlap in peak hours', () => {
|
||||
const grid = Array.from({ length: 7 }, () => new Array(24).fill(0));
|
||||
// Mon(1) and Fri(5) both have activity at hour 20, but Fri is stronger
|
||||
grid[1][20] = 3;
|
||||
grid[5][20] = 8;
|
||||
const result = findBestOverlapTime(grid, dayLabels);
|
||||
expect(result).toContain('Fri');
|
||||
});
|
||||
|
||||
test('handles activity spread across all days equally', () => {
|
||||
const grid = Array.from({ length: 7 }, () => new Array(24).fill(0));
|
||||
for (let d = 0; d < 7; d++) {
|
||||
grid[d][15] = 5;
|
||||
}
|
||||
const result = findBestOverlapTime(grid, dayLabels);
|
||||
// Should pick Sunday (index 0) since it's first with equal values
|
||||
expect(result).toContain('Sun');
|
||||
expect(result).toContain('15:00');
|
||||
});
|
||||
});
|
||||
257
src/shared/utils/overlapCalculator.js
Normal file
257
src/shared/utils/overlapCalculator.js
Normal file
@@ -0,0 +1,257 @@
|
||||
/**
|
||||
* Builds online sessions from Online/Offline events.
|
||||
* @param {Array<{created_at: string, type: string}>} events - Sorted by created_at
|
||||
* @returns {Array<{start: number, end: number}>} Sessions as Unix timestamps (ms)
|
||||
*/
|
||||
export function buildSessionsFromEvents(events) {
|
||||
const sessions = [];
|
||||
let currentStart = null;
|
||||
|
||||
for (const event of events) {
|
||||
const ts = new Date(event.created_at).getTime();
|
||||
if (event.type === 'Online') {
|
||||
if (currentStart !== null) {
|
||||
sessions.push({ start: currentStart, end: ts });
|
||||
}
|
||||
currentStart = ts;
|
||||
} else if (event.type === 'Offline' && currentStart !== null) {
|
||||
sessions.push({ start: currentStart, end: ts });
|
||||
currentStart = null;
|
||||
}
|
||||
}
|
||||
return sessions;
|
||||
}
|
||||
|
||||
/**
|
||||
* Builds online sessions from gamelog_location rows.
|
||||
* Each row: created_at = enter time, time = duration in ms (updated on leave).
|
||||
* If time = 0, the user may still be in this instance or it wasn't updated.
|
||||
* For the last row with time=0, we estimate end = next row's start or now.
|
||||
* Merges adjacent sessions within mergeGapMs.
|
||||
* @param {Array<{created_at: string, time: number}>} rows
|
||||
* @param {number} [mergeGapMs] - Merge gap threshold (default 5 min)
|
||||
* @returns {Array<{start: number, end: number}>}
|
||||
*/
|
||||
export function buildSessionsFromGamelog(rows, mergeGapMs = 5 * 60 * 1000) {
|
||||
if (rows.length === 0) return [];
|
||||
|
||||
const rawSessions = [];
|
||||
for (let i = 0; i < rows.length; i++) {
|
||||
const start = new Date(rows[i].created_at).getTime();
|
||||
let duration = rows[i].time || 0;
|
||||
|
||||
if (duration === 0) {
|
||||
// time not yet updated: estimate end as next row's start, or now for the last row
|
||||
if (i < rows.length - 1) {
|
||||
duration = new Date(rows[i + 1].created_at).getTime() - start;
|
||||
} else {
|
||||
// Last row, user may still be online - use current time
|
||||
duration = Date.now() - start;
|
||||
}
|
||||
// Cap at 24h to avoid unreasonable durations from stale data
|
||||
duration = Math.min(duration, 24 * 60 * 60 * 1000);
|
||||
}
|
||||
|
||||
if (duration > 0) {
|
||||
rawSessions.push({ start, end: start + duration });
|
||||
}
|
||||
}
|
||||
|
||||
if (rawSessions.length === 0) return [];
|
||||
|
||||
rawSessions.sort((a, b) => a.start - b.start);
|
||||
|
||||
const merged = [{ ...rawSessions[0] }];
|
||||
for (let i = 1; i < rawSessions.length; i++) {
|
||||
const last = merged[merged.length - 1];
|
||||
const curr = rawSessions[i];
|
||||
if (curr.start <= last.end + mergeGapMs) {
|
||||
last.end = Math.max(last.end, curr.end);
|
||||
} else {
|
||||
merged.push({ ...curr });
|
||||
}
|
||||
}
|
||||
return merged;
|
||||
}
|
||||
|
||||
/**
|
||||
* Computes intersection intervals between two sorted, non-overlapping session arrays.
|
||||
* @param {Array<{start: number, end: number}>} sessionsA
|
||||
* @param {Array<{start: number, end: number}>} sessionsB
|
||||
* @returns {Array<{start: number, end: number}>}
|
||||
*/
|
||||
function computeIntersections(sessionsA, sessionsB) {
|
||||
const result = [];
|
||||
let i = 0;
|
||||
let j = 0;
|
||||
while (i < sessionsA.length && j < sessionsB.length) {
|
||||
const a = sessionsA[i];
|
||||
const b = sessionsB[j];
|
||||
const start = Math.max(a.start, b.start);
|
||||
const end = Math.min(a.end, b.end);
|
||||
if (start < end) {
|
||||
result.push({ start, end });
|
||||
}
|
||||
if (a.end < b.end) {
|
||||
i++;
|
||||
} else {
|
||||
j++;
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* Increments a 7×24 grid for each hour-slot covered by the given time range.
|
||||
* @param {number[][]} grid - 7×24 array (dayOfWeek × hour)
|
||||
* @param {number} startMs
|
||||
* @param {number} endMs
|
||||
*/
|
||||
function incrementGrid(grid, startMs, endMs) {
|
||||
// Walk hour by hour from start to end
|
||||
const ONE_HOUR = 3600000;
|
||||
let cursor = startMs;
|
||||
|
||||
while (cursor < endMs) {
|
||||
const d = new Date(cursor);
|
||||
const day = d.getDay(); // 0=Sun
|
||||
const hour = d.getHours();
|
||||
grid[day][hour]++;
|
||||
|
||||
// Move to next hour boundary
|
||||
const nextHour = new Date(cursor);
|
||||
nextHour.setMinutes(0, 0, 0);
|
||||
nextHour.setTime(nextHour.getTime() + ONE_HOUR);
|
||||
cursor = nextHour.getTime();
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Filters sessions to only include those overlapping with the given time range.
|
||||
* @param {Array<{start: number, end: number}>} sessions
|
||||
* @param {number} cutoffMs - Only include sessions that end after this timestamp
|
||||
* @returns {Array<{start: number, end: number}>}
|
||||
*/
|
||||
export function filterSessionsByPeriod(sessions, cutoffMs) {
|
||||
return sessions
|
||||
.filter((s) => s.end > cutoffMs)
|
||||
.map((s) => ({
|
||||
start: Math.max(s.start, cutoffMs),
|
||||
end: s.end
|
||||
}));
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculates overlap grid and statistics between two users' sessions.
|
||||
* @param {Array<{start: number, end: number}>} sessionsA - Current user
|
||||
* @param {Array<{start: number, end: number}>} sessionsB - Target user
|
||||
* @returns {{
|
||||
* grid: number[][],
|
||||
* maxVal: number,
|
||||
* totalOverlapMs: number,
|
||||
* totalUserAMs: number,
|
||||
* totalUserBMs: number,
|
||||
* overlapPercent: number
|
||||
* }}
|
||||
*/
|
||||
export function calculateOverlapGrid(sessionsA, sessionsB) {
|
||||
const overlapSessions = computeIntersections(sessionsA, sessionsB);
|
||||
|
||||
const grid = Array.from({ length: 7 }, () => new Array(24).fill(0));
|
||||
for (const session of overlapSessions) {
|
||||
incrementGrid(grid, session.start, session.end);
|
||||
}
|
||||
|
||||
const totalOverlapMs = overlapSessions.reduce((sum, s) => sum + (s.end - s.start), 0);
|
||||
const totalUserAMs = sessionsA.reduce((sum, s) => sum + (s.end - s.start), 0);
|
||||
const totalUserBMs = sessionsB.reduce((sum, s) => sum + (s.end - s.start), 0);
|
||||
const minOnline = Math.min(totalUserAMs, totalUserBMs);
|
||||
const overlapPercent = minOnline > 0 ? Math.round((totalOverlapMs / minOnline) * 100) : 0;
|
||||
|
||||
let maxVal = 0;
|
||||
for (let d = 0; d < 7; d++) {
|
||||
for (let h = 0; h < 24; h++) {
|
||||
if (grid[d][h] > maxVal) maxVal = grid[d][h];
|
||||
}
|
||||
}
|
||||
|
||||
return { grid, maxVal, totalOverlapMs, totalUserAMs, totalUserBMs, overlapPercent };
|
||||
}
|
||||
|
||||
/**
|
||||
* Aggregates sessions into a 7×24 grid (dayOfWeek × hour).
|
||||
* For each session, increments all hour slots it covers.
|
||||
* @param {Array<{start: number, end: number}>} sessions
|
||||
* @returns {{ grid: number[][], maxVal: number }}
|
||||
*/
|
||||
export function aggregateSessionsToGrid(sessions) {
|
||||
const grid = Array.from({ length: 7 }, () => new Array(24).fill(0));
|
||||
for (const session of sessions) {
|
||||
incrementGrid(grid, session.start, session.end);
|
||||
}
|
||||
let maxVal = 0;
|
||||
for (let d = 0; d < 7; d++) {
|
||||
for (let h = 0; h < 24; h++) {
|
||||
if (grid[d][h] > maxVal) maxVal = grid[d][h];
|
||||
}
|
||||
}
|
||||
return { grid, maxVal };
|
||||
}
|
||||
|
||||
/**
|
||||
* Finds the best time to meet based on the overlap grid.
|
||||
* @param {number[][]} grid - 7×24 (dayOfWeek × hour)
|
||||
* @param {string[]} dayLabels - ['Sun', 'Mon', ..., 'Sat']
|
||||
* @returns {string} e.g. "Sat, 20:00–23:00" or empty string
|
||||
*/
|
||||
export function findBestOverlapTime(grid, dayLabels) {
|
||||
const hourSums = new Array(24).fill(0);
|
||||
for (let h = 0; h < 24; h++) {
|
||||
for (let d = 0; d < 7; d++) {
|
||||
hourSums[h] += grid[d][h];
|
||||
}
|
||||
}
|
||||
|
||||
let maxHourSum = 0;
|
||||
let maxHourIdx = 0;
|
||||
for (let h = 0; h < 24; h++) {
|
||||
if (hourSums[h] > maxHourSum) {
|
||||
maxHourSum = hourSums[h];
|
||||
maxHourIdx = h;
|
||||
}
|
||||
}
|
||||
if (maxHourSum === 0) return '';
|
||||
|
||||
const threshold = maxHourSum * 0.6;
|
||||
let startHour = maxHourIdx;
|
||||
let endHour = maxHourIdx;
|
||||
while (startHour > 0 && hourSums[startHour - 1] >= threshold) {
|
||||
startHour--;
|
||||
}
|
||||
while (endHour < 23 && hourSums[endHour + 1] >= threshold) {
|
||||
endHour++;
|
||||
}
|
||||
|
||||
const daySums = new Array(7).fill(0);
|
||||
for (let d = 0; d < 7; d++) {
|
||||
for (let h = startHour; h <= endHour; h++) {
|
||||
daySums[d] += grid[d][h];
|
||||
}
|
||||
}
|
||||
let maxDaySum = 0;
|
||||
let maxDayIdx = 0;
|
||||
for (let d = 0; d < 7; d++) {
|
||||
if (daySums[d] > maxDaySum) {
|
||||
maxDaySum = daySums[d];
|
||||
maxDayIdx = d;
|
||||
}
|
||||
}
|
||||
|
||||
const dayName = dayLabels[maxDayIdx];
|
||||
const timeRange =
|
||||
startHour === endHour
|
||||
? `${String(startHour).padStart(2, '0')}:00`
|
||||
: `${String(startHour).padStart(2, '0')}:00\u2013${String(endHour + 1).padStart(2, '0')}:00`;
|
||||
|
||||
return `${dayName}, ${timeRange}`;
|
||||
}
|
||||
Reference in New Issue
Block a user