mirror of
https://github.com/blakeblackshear/frigate.git
synced 2025-12-06 05:24:11 +03:00
264 lines
7.5 KiB
TypeScript
264 lines
7.5 KiB
TypeScript
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import { baseUrl } from "@/api/baseUrl";
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import useContextMenu from "@/hooks/use-contextmenu";
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import { cn } from "@/lib/utils";
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import {
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ClassificationItemData,
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ClassificationThreshold,
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} from "@/types/classification";
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import { Event } from "@/types/event";
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import { useMemo, useRef, useState } from "react";
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import { isDesktop, isMobile } from "react-device-detect";
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import { useTranslation } from "react-i18next";
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import TimeAgo from "../dynamic/TimeAgo";
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import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
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import { LuSearch } from "react-icons/lu";
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import { TooltipPortal } from "@radix-ui/react-tooltip";
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import { useNavigate } from "react-router-dom";
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import { getTranslatedLabel } from "@/utils/i18n";
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type ClassificationCardProps = {
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className?: string;
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imgClassName?: string;
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data: ClassificationItemData;
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threshold?: ClassificationThreshold;
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selected: boolean;
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i18nLibrary: string;
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showArea?: boolean;
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onClick: (data: ClassificationItemData, meta: boolean) => void;
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children?: React.ReactNode;
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};
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export function ClassificationCard({
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className,
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imgClassName,
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data,
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threshold,
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selected,
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i18nLibrary,
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showArea = true,
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onClick,
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children,
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}: ClassificationCardProps) {
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const { t } = useTranslation([i18nLibrary]);
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const [imageLoaded, setImageLoaded] = useState(false);
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const scoreStatus = useMemo(() => {
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if (!data.score || !threshold) {
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return "unknown";
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}
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if (data.score >= threshold.recognition) {
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return "match";
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} else if (data.score >= threshold.unknown) {
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return "potential";
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} else {
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return "unknown";
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}
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}, [data, threshold]);
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// interaction
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const imgRef = useRef<HTMLImageElement | null>(null);
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useContextMenu(imgRef, () => {
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onClick(data, true);
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});
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const imageArea = useMemo(() => {
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if (!showArea || imgRef.current == null || !imageLoaded) {
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return undefined;
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}
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return imgRef.current.naturalWidth * imgRef.current.naturalHeight;
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}, [showArea, imageLoaded]);
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return (
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<>
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<div
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className={cn(
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"relative flex cursor-pointer flex-col rounded-lg outline outline-[3px]",
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className,
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selected
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? "shadow-selected outline-selected"
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: "outline-transparent duration-500",
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)}
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>
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<div className="relative w-full select-none overflow-hidden rounded-lg">
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<img
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ref={imgRef}
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onLoad={() => setImageLoaded(true)}
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className={cn("size-44", imgClassName, isMobile && "w-full")}
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src={`${baseUrl}${data.filepath}`}
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onClick={(e) => {
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e.stopPropagation();
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onClick(data, e.metaKey || e.ctrlKey);
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}}
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/>
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{imageArea != undefined && (
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<div className="absolute bottom-1 right-1 z-10 rounded-lg bg-black/50 px-2 py-1 text-xs text-white">
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{t("information.pixels", { ns: "common", area: imageArea })}
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</div>
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)}
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</div>
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<div className="select-none p-2">
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<div className="flex w-full flex-row items-center justify-between gap-2">
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<div className="flex flex-col items-start text-xs text-primary-variant">
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<div className="smart-capitalize">
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{data.name == "unknown" ? t("details.unknown") : data.name}
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</div>
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{data.score && (
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<div
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className={cn(
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"",
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scoreStatus == "match" && "text-success",
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scoreStatus == "potential" && "text-orange-400",
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scoreStatus == "unknown" && "text-danger",
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)}
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>
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{Math.round(data.score * 100)}%
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</div>
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)}
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</div>
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<div className="flex flex-row items-start justify-end gap-5 md:gap-4">
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{children}
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</div>
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</div>
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</div>
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</div>
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</>
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);
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}
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type GroupedClassificationCardProps = {
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group: ClassificationItemData[];
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event?: Event;
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threshold?: ClassificationThreshold;
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selectedItems: string[];
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i18nLibrary: string;
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objectType: string;
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onClick: (data: ClassificationItemData | undefined) => void;
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onSelectEvent: (event: Event) => void;
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children?: (data: ClassificationItemData) => React.ReactNode;
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};
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export function GroupedClassificationCard({
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group,
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event,
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threshold,
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selectedItems,
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i18nLibrary,
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objectType,
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onClick,
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onSelectEvent,
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children,
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}: GroupedClassificationCardProps) {
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const navigate = useNavigate();
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const { t } = useTranslation(["views/explore", i18nLibrary]);
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// data
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const allItemsSelected = useMemo(
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() => group.every((data) => selectedItems.includes(data.filename)),
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[group, selectedItems],
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);
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const time = useMemo(() => {
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const item = group[0];
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if (!item?.timestamp) {
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return undefined;
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}
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return item.timestamp * 1000;
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}, [group]);
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return (
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<div
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className={cn(
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"flex cursor-pointer flex-col gap-2 rounded-lg bg-card p-2 outline outline-[3px]",
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isMobile && "w-full",
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allItemsSelected
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? "shadow-selected outline-selected"
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: "outline-transparent duration-500",
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)}
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onClick={() => {
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if (selectedItems.length) {
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onClick(undefined);
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}
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}}
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onContextMenu={(e) => {
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e.stopPropagation();
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e.preventDefault();
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onClick(undefined);
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}}
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>
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<div className="flex flex-row justify-between">
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<div className="flex flex-col gap-1">
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<div className="select-none smart-capitalize">
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{getTranslatedLabel(objectType)}
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{event?.sub_label
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? `: ${event.sub_label} (${Math.round((event.data.sub_label_score || 0) * 100)}%)`
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: ": " + t("details.unknown")}
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</div>
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{time && (
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<TimeAgo
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className="text-sm text-secondary-foreground"
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time={time}
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dense
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/>
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)}
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</div>
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{event && (
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<Tooltip>
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<TooltipTrigger>
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<div
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className="cursor-pointer"
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onClick={() => {
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navigate(`/explore?event_id=${event.id}`);
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}}
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>
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<LuSearch className="size-4 text-muted-foreground" />
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</div>
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</TooltipTrigger>
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<TooltipPortal>
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<TooltipContent>
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{t("details.item.button.viewInExplore", {
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ns: "views/explore",
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})}
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</TooltipContent>
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</TooltipPortal>
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</Tooltip>
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)}
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</div>
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<div
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className={cn(
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"gap-2",
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isDesktop
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? "flex flex-row flex-wrap"
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: "grid grid-cols-2 sm:grid-cols-5 lg:grid-cols-6",
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)}
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>
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{group.map((data: ClassificationItemData) => (
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<ClassificationCard
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key={data.filename}
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data={data}
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threshold={threshold}
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selected={
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allItemsSelected ? false : selectedItems.includes(data.filename)
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}
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i18nLibrary={i18nLibrary}
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onClick={(data, meta) => {
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if (meta || selectedItems.length > 0) {
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onClick(data);
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} else if (event) {
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onSelectEvent(event);
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}
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}}
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>
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{children?.(data)}
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</ClassificationCard>
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))}
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</div>
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</div>
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);
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}
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