新增爆管侦测面板及相关功能模块
This commit is contained in:
JIANG
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"use client";
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import React, { useEffect, useMemo, useRef, useState } from "react";
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import { Box, Button, Chip, Tooltip, Typography } from "@mui/material";
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import { DataGrid, GridColDef } from "@mui/x-data-grid";
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import { zhCN } from "@mui/x-data-grid/locales";
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import {
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FormatListBulleted,
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InfoOutlined as InfoOutlinedIcon,
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Room as RoomIcon,
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ShowChart as ShowChartIcon,
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CheckCircleOutline as CheckCircleIcon,
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ErrorOutline as ErrorOutlineIcon,
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} from "@mui/icons-material";
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import ReactECharts from "echarts-for-react";
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import dayjs from "dayjs";
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import { useMap } from "@components/olmap/core/MapComponent";
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import { queryFeaturesByIds } from "@/utils/mapQueryService";
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import { GeoJSON } from "ol/format";
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import Feature from "ol/Feature";
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import VectorLayer from "ol/layer/Vector";
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import VectorSource from "ol/source/Vector";
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import { Circle, Fill, Stroke, Style } from "ol/style";
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import { bbox, featureCollection } from "@turf/turf";
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import { BurstDetectionResult, BurstDetectionRow } from "./types";
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interface Props {
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result: BurstDetectionResult | null;
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}
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interface MetricCardProps {
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label: string;
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value: string;
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hint?: string;
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tone: "blue" | "orange" | "purple" | "green";
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}
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const toneStyles: Record<
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MetricCardProps["tone"],
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{ bg: string; border: string; text: string; darkText: string }
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> = {
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blue: {
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bg: "from-blue-50 to-blue-100",
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border: "border-blue-200",
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text: "text-blue-700",
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darkText: "text-blue-900",
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},
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orange: {
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bg: "from-orange-50 to-orange-100",
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border: "border-orange-200",
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text: "text-orange-700",
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darkText: "text-orange-900",
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},
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purple: {
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bg: "from-purple-50 to-purple-100",
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border: "border-purple-200",
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text: "text-purple-700",
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darkText: "text-purple-900",
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},
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green: {
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bg: "from-green-50 to-green-100",
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border: "border-green-200",
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text: "text-green-700",
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darkText: "text-green-900",
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},
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};
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const MetricCard = ({ label, value, hint, tone }: MetricCardProps) => {
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const style = toneStyles[tone];
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return (
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<Box className={`rounded-lg border bg-gradient-to-br p-3 shadow-sm ${style.bg} ${style.border}`}>
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<Typography variant="caption" className={`mb-1 block text-xs font-semibold uppercase tracking-wide ${style.text}`}>
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{label}
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</Typography>
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<Typography variant="body2" className={`font-bold ${style.darkText}`}>
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{value}
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</Typography>
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{hint ? (
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<Typography variant="caption" className={`mt-0.5 block text-xs opacity-80 ${style.text}`}>
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{hint}
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</Typography>
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) : null}
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</Box>
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);
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};
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const EmptyState = () => (
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<Box className="flex h-full flex-col items-center justify-center bg-gray-50/50 p-6 text-center">
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<Box className="mb-4 rounded-full bg-white p-6 shadow-sm">
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<ShowChartIcon sx={{ fontSize: 48, color: "#cbd5e1" }} />
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</Box>
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<Typography variant="h6" className="mb-1 font-bold text-gray-700">
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等待侦测结果
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</Typography>
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<Typography variant="body2" className="max-w-xs text-gray-500">
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提交一次爆管侦测后，这里会展示异常天数、分数趋势、最新测点排名和结果表格。
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</Typography>
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</Box>
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);
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const getScoreLevel = (score: number) => {
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if (score <= -0.6) return { label: "高风险", color: "error" as const };
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if (score <= -0.2) return { label: "需关注", color: "warning" as const };
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return { label: "正常", color: "success" as const };
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};
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const formatDateTime = (value?: string) => (value ? dayjs(value).format("YYYY-MM-DD HH:mm") : "-");
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const DetectionResults: React.FC<Props> = ({ result }) => {
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const map = useMap();
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const highlightLayerRef = useRef<VectorLayer<VectorSource> | null>(null);
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const [highlightFeatures, setHighlightFeatures] = useState<Feature[]>([]);
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const [selectedDay, setSelectedDay] = useState<number | null>(null);
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useEffect(() => {
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if (!map) return;
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const layer = new VectorLayer({
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source: new VectorSource(),
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style: new Style({
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stroke: new Stroke({ color: "#ef4444", width: 4 }),
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image: new Circle({
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radius: 7,
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fill: new Fill({ color: "#ef4444" }),
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stroke: new Stroke({ color: "#fff", width: 2 }),
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}),
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zIndex: 999,
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}),
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properties: {
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name: "爆管侦测高亮",
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value: "burst_detection_highlight",
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},
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});
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map.addLayer(layer);
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highlightLayerRef.current = layer;
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return () => {
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highlightLayerRef.current = null;
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map.removeLayer(layer);
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};
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}, [map]);
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useEffect(() => {
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const source = highlightLayerRef.current?.getSource();
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if (!source) return;
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source.clear();
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highlightFeatures.forEach((feature) => source.addFeature(feature));
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}, [highlightFeatures]);
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const defaultSelectedDay = useMemo(
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() =>
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result?.summary?.most_anomalous_day ??
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result?.summary?.latest_day?.Day ??
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result?.rows[0]?.Day ??
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null,
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[result],
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);
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const activeSelectedDay = selectedDay ?? defaultSelectedDay;
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const selectedRow = useMemo<BurstDetectionRow | null>(() => {
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if (!result || activeSelectedDay === null) return null;
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return result.rows.find((row) => row.Day === activeSelectedDay) ?? null;
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}, [activeSelectedDay, result]);
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const scoreSeries = useMemo(
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() =>
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result?.rows.map((row) => ({
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value: [row.Day, Number(row.Score.toFixed(4))],
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itemStyle: {
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color: row.IsBurst ? "#ef4444" : row.Score <= -0.2 ? "#f59e0b" : "#10b981",
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},
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})) ?? [],
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[result],
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);
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const rankingSeries = useMemo(
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() =>
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[...(result?.summary?.latest_sensor_rankings ?? [])]
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.sort((a, b) => a.latest_high_frequency_value - b.latest_high_frequency_value)
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.map((item) => ({
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name: item.sensor_node,
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value: Number(item.latest_high_frequency_value.toFixed(4)),
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})),
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[result],
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);
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const locateSensors = async (sensorIds: string[]) => {
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if (!map || sensorIds.length === 0) return;
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let features = await queryFeaturesByIds(sensorIds, "geo_junctions_mat");
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if (features.length === 0) {
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features = await queryFeaturesByIds(sensorIds, "geo_junctions");
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}
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if (features.length === 0) return;
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setHighlightFeatures(features);
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const geojsonFormat = new GeoJSON();
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const geojsonFeatures = features.map((feature) => geojsonFormat.writeFeatureObject(feature));
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// @ts-ignore turf typing with ol geojson objects
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const extent = bbox(featureCollection(geojsonFeatures));
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map.getView().fit(extent, {
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maxZoom: 18,
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duration: 1000,
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padding: [100, 100, 100, 100],
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});
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};
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if (!result) {
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return <EmptyState />;
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}
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const latestDay = result.summary?.latest_day;
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const latestLevel = latestDay ? getScoreLevel(latestDay.Score) : getScoreLevel(0);
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const mostAnomalousRow = result.rows.find((row) => row.Day === result.summary?.most_anomalous_day) ?? null;
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const mostAnomalousLevel = getScoreLevel(mostAnomalousRow?.Score ?? 0);
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const isBurstDetected = result.summary.burst_detected;
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const chartOption = {
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tooltip: {
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trigger: "axis",
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formatter: (params: Array<{ data: { value: [number, number] } }>) => {
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const point = params[0]?.data?.value;
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if (!point) return "-";
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return `侦测日第 ${point[0]} 天<br/>异常分数：${point[1]}`;
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},
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},
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grid: { top: 30, left: 40, right: 20, bottom: 35 },
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xAxis: {
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type: "category",
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name: "侦测日",
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data: result.rows.map((row) => row.Day),
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axisLabel: { fontSize: 10 },
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},
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yAxis: {
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type: "value",
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name: "异常分数",
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axisLabel: { fontSize: 10 },
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},
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series: [
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{
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type: "line",
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smooth: true,
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symbolSize: 8,
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data: scoreSeries,
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lineStyle: { color: "#2563eb", width: 2 },
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markLine: {
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symbol: "none",
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lineStyle: { type: "dashed", color: "#94a3b8" },
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data: [{ yAxis: 0 }],
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},
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},
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],
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};
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const rankingOption = {
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tooltip: {
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trigger: "axis",
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axisPointer: { type: "shadow" },
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},
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grid: { top: 20, left: 70, right: 20, bottom: 20 },
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xAxis: { type: "value", axisLabel: { fontSize: 10 } },
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yAxis: {
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type: "category",
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data: rankingSeries.map((item) => item.name),
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axisLabel: { fontSize: 10 },
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},
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series: [
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{
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type: "bar",
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data: rankingSeries.map((item) => ({
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value: item.value,
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itemStyle: {
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color: item.value <= -0.6 ? "#ef4444" : item.value <= -0.2 ? "#f59e0b" : "#10b981",
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},
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})),
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barWidth: 14,
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},
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],
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};
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const columns: GridColDef[] = [
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{
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field: "Day",
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headerName: "侦测日",
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width: 96,
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valueFormatter: (value?: number) => (typeof value === "number" ? `第 ${value} 天` : "-"),
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},
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{
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field: "Score",
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headerName: "异常分数",
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width: 120,
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valueFormatter: (value?: number) => (typeof value === "number" ? value.toFixed(4) : "-"),
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},
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{
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field: "IsBurst",
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headerName: "判定结果",
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width: 120,
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renderCell: ({ value }) => {
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const level = value ? { label: "爆管异常", color: "error" as const } : { label: "正常", color: "success" as const };
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return <Chip size="small" label={level.label} color={level.color} variant="outlined" />;
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},
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},
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];
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const rows = result.rows.map((row) => ({ id: row.Day, ...row }));
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return (
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<Box className="h-full overflow-auto p-1">
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<Box className="mb-4 space-y-3">
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{/* Status Banner */}
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<Box
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className={`rounded-lg px-4 py-3 flex items-center gap-3 border ${isBurstDetected
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? "bg-red-50 border-red-100 text-red-900"
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: "bg-green-50 border-green-100 text-green-900"
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}`}
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>
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{isBurstDetected ? (
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<ErrorOutlineIcon className="text-red-600" />
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) : (
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<CheckCircleIcon className="text-green-600" />
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)}
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<Box className="flex-1">
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<Typography variant="subtitle2" className="font-bold">
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{isBurstDetected
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? `侦测到异常信号 (共 ${result.summary.anomaly_day_count} 天)`
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: "未侦测到爆管异常"}
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</Typography>
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<Typography variant="caption" className="opacity-80">
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{isBurstDetected
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? "建议检查异常日期的压力波动情况"
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: "当前时间窗口内数据特征平稳，符合历史模式"}
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</Typography>
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</Box>
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</Box>
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{/* Header */}
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<Box className="flex items-center justify-between px-1">
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<Box className="flex items-center gap-2">
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<Box className="h-4 w-1 rounded-full bg-blue-600" />
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<Typography variant="h6" className="truncate font-bold text-gray-900" sx={{ fontSize: "1.1rem" }}>
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{result.scheme_name || "爆管侦测结果"}
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</Typography>
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</Box>
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<Box className="flex items-center gap-2">
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{result.username ? (
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<Chip
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label={result.username}
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size="small"
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sx={{
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height: 24,
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backgroundColor: "#f3f4f6",
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color: "#4b5563",
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border: "none",
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fontWeight: 500,
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}}
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/>
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) : null}
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<Button
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size="small"
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variant="outlined"
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startIcon={<RoomIcon />}
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onClick={() =>
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locateSensors(result.summary.latest_sensor_rankings.map((item) => item.sensor_node).slice(0, 5))
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}
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sx={{
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height: 24,
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minWidth: 0,
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padding: "0 8px",
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borderColor: "#bfdbfe",
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color: "#2563eb",
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fontSize: "0.75rem",
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"&:hover": { borderColor: "#60a5fa", backgroundColor: "#eff6ff" },
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}}
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>
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定位
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</Button>
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</Box>
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</Box>
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{/* Configuration Summary */}
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<Box className="flex flex-wrap items-center gap-x-4 gap-y-2 rounded-lg border border-gray-100 bg-gray-50/50 px-3 py-2 text-xs text-gray-600">
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<Box className="flex items-center gap-1.5">
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<Box className="h-1.5 w-1.5 rounded-full bg-blue-400" />
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<span className="font-medium text-gray-700">时间窗口：</span>
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<span className="font-mono text-gray-600">
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{formatDateTime(result.scada_window?.start)} ~ {formatDateTime(result.scada_window?.end)}
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</span>
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</Box>
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<Box className="flex items-center gap-1.5">
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<Box className="h-1.5 w-1.5 rounded-full bg-purple-400" />
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<span className="font-medium text-gray-700">数据来源：</span>
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<span className="text-gray-600">
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{(() => {
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const ds = result.data_source;
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const os = result.observed_source;
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if (ds === "simulation") return "模拟数据";
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if (ds === "monitoring") return "监测数据";
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if (os === "simulation_scheme_timerange") return "模拟数据";
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if (os === "backend_timerange") return "监测数据";
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return os || "-";
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})()}
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</span>
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</Box>
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</Box>
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{/* Metrics Grid */}
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<Box className="grid grid-cols-2 gap-3">
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<MetricCard
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label="异常天数"
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value={`${result.summary.anomaly_day_count} / ${result.day_count}`}
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hint={`异常日：${result.summary.anomaly_days.join(", ") || "无"}`}
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tone={result.summary.anomaly_day_count > 0 ? "orange" : "green"}
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/>
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<MetricCard
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label="最异常日"
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value={
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result.summary.burst_detected && result.summary.most_anomalous_day
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? `第 ${result.summary.most_anomalous_day} 天`
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: "无"
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}
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hint={
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result.summary.burst_detected && mostAnomalousRow
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? `分数 ${mostAnomalousRow.Score.toFixed(4)} · ${mostAnomalousLevel.label}`
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: "-"
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}
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tone="purple"
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/>
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<MetricCard
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label="最新状态"
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value={latestLevel.label}
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hint={latestDay ? `第 ${latestDay.Day} 天 · 分数 ${latestDay.Score.toFixed(4)}` : "-"}
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tone={latestLevel.color === "success" ? "green" : "orange"}
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/>
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<MetricCard
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label="测点 / 样本"
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value={`${result.sensor_nodes.length} / ${result.sample_count}`}
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hint={`每日采样点数：${result.points_per_day}`}
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||||
tone="blue"
|
||||
/>
|
||||
</Box>
|
||||
</Box>
|
||||
|
||||
{/* Score Trend Chart */}
|
||||
<Box className="mb-4 overflow-hidden rounded-xl border border-gray-100 bg-white shadow-sm">
|
||||
<Box className="flex items-center justify-between border-b border-gray-100 bg-white px-4 py-3">
|
||||
<Box className="flex items-center gap-2">
|
||||
<ShowChartIcon className="h-5 w-5 text-blue-600" />
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||||
<Typography variant="subtitle1" className="font-bold text-gray-800">
|
||||
异常分数趋势
|
||||
</Typography>
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||||
</Box>
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||||
<Tooltip title="分数越小越异常，0 以下通常意味着更值得关注。">
|
||||
<InfoOutlinedIcon fontSize="small" className="text-gray-400" />
|
||||
</Tooltip>
|
||||
</Box>
|
||||
<Box sx={{ height: 250, px: 1.5, py: 1 }}>
|
||||
<ReactECharts
|
||||
option={chartOption}
|
||||
style={{ height: "100%", width: "100%" }}
|
||||
onEvents={{
|
||||
click: (params: { data?: { value?: [number, number] } }) => {
|
||||
const day = params?.data?.value?.[0];
|
||||
if (typeof day === "number") {
|
||||
setSelectedDay(day);
|
||||
}
|
||||
},
|
||||
}}
|
||||
/>
|
||||
</Box>
|
||||
</Box>
|
||||
|
||||
{/* Selected Day Interpretation */}
|
||||
<Box className="mb-4 overflow-hidden rounded-xl border border-gray-100 bg-white shadow-sm">
|
||||
<Box className="flex items-center justify-between border-b border-gray-100 bg-white px-4 py-3">
|
||||
<Typography variant="subtitle1" className="font-bold text-gray-800">
|
||||
选中日解读
|
||||
</Typography>
|
||||
{selectedRow ? (
|
||||
<Chip
|
||||
size="small"
|
||||
label={`第 ${selectedRow.Day} 天`}
|
||||
sx={{
|
||||
height: 22,
|
||||
backgroundColor: "rgba(37, 99, 235, 0.08)",
|
||||
color: "#2563eb",
|
||||
fontWeight: 600,
|
||||
fontSize: "0.75rem",
|
||||
border: "none",
|
||||
}}
|
||||
/>
|
||||
) : null}
|
||||
</Box>
|
||||
{selectedRow ? (
|
||||
<Box className="space-y-3 px-4 py-3">
|
||||
<Box className="flex items-center gap-2">
|
||||
<Chip
|
||||
label={getScoreLevel(selectedRow.Score).label}
|
||||
color={getScoreLevel(selectedRow.Score).color}
|
||||
variant="filled"
|
||||
/>
|
||||
</Box>
|
||||
<Typography variant="body2" className="text-gray-700">
|
||||
异常分数：<span className="font-semibold">{selectedRow.Score.toFixed(4)}</span>
|
||||
</Typography>
|
||||
<Typography variant="body2" className="text-gray-700">
|
||||
模型判定：{selectedRow.IsBurst ? "异常日（Prediction = -1）" : "正常日（Prediction = 1）"}
|
||||
</Typography>
|
||||
<Typography variant="body2" className="text-gray-700">
|
||||
解读建议：
|
||||
{selectedRow.Score <= -0.6
|
||||
? "高风险异常，建议优先复核对应测点的原始压力曲线与现场工况。"
|
||||
: selectedRow.Score <= -0.2
|
||||
? "存在可疑波动，建议结合相邻测点和调度记录进一步确认。"
|
||||
: "未见明显异常，可作为基线日参考。"}
|
||||
</Typography>
|
||||
</Box>
|
||||
) : (
|
||||
<Typography variant="body2" className="px-4 py-3 text-gray-500">
|
||||
请在趋势图或表格中选择一天查看详细解释。
|
||||
</Typography>
|
||||
)}
|
||||
</Box>
|
||||
|
||||
{/* Latest Sensor Rankings */}
|
||||
<Box className="mb-4 overflow-hidden rounded-xl border border-gray-100 bg-white shadow-sm">
|
||||
<Box className="flex items-center justify-between border-b border-gray-100 bg-white px-4 py-3">
|
||||
<Typography variant="subtitle1" className="font-bold text-gray-800">
|
||||
最新测点高频特征排名
|
||||
</Typography>
|
||||
<Typography variant="caption" className="text-gray-500">
|
||||
仅展示最新一天
|
||||
</Typography>
|
||||
</Box>
|
||||
<Box sx={{ height: 260, px: 1.5, py: 1 }}>
|
||||
<ReactECharts option={rankingOption} style={{ height: "100%", width: "100%" }} />
|
||||
</Box>
|
||||
<Box className="flex flex-wrap gap-2 border-t border-gray-100 px-4 py-3">
|
||||
{result.summary.latest_sensor_rankings.slice(0, 5).map((item) => (
|
||||
<Button
|
||||
key={item.sensor_node}
|
||||
size="small"
|
||||
variant="outlined"
|
||||
onClick={() => locateSensors([item.sensor_node])}
|
||||
sx={{
|
||||
borderColor: "#bfdbfe",
|
||||
color: "#2563eb",
|
||||
"&:hover": { borderColor: "#60a5fa", backgroundColor: "#eff6ff" },
|
||||
}}
|
||||
>
|
||||
{item.sensor_node}
|
||||
</Button>
|
||||
))}
|
||||
</Box>
|
||||
</Box>
|
||||
|
||||
{/* Results Table */}
|
||||
<Box className="mb-4 overflow-hidden rounded-xl border border-gray-100 bg-white shadow-sm">
|
||||
<Box className="flex items-center justify-between border-b border-gray-100 bg-white px-4 py-3">
|
||||
<Box className="flex items-center gap-2">
|
||||
<FormatListBulleted className="h-5 w-5 text-blue-600" />
|
||||
<Typography variant="subtitle1" className="font-bold text-gray-800">
|
||||
结果表格
|
||||
</Typography>
|
||||
</Box>
|
||||
<Chip
|
||||
size="small"
|
||||
label={`${rows.length} 条`}
|
||||
sx={{
|
||||
height: 22,
|
||||
backgroundColor: "rgba(37, 99, 235, 0.08)",
|
||||
color: "#2563eb",
|
||||
fontWeight: 600,
|
||||
fontSize: "0.75rem",
|
||||
border: "none",
|
||||
}}
|
||||
/>
|
||||
</Box>
|
||||
<Box sx={{ height: 320, px: 1, py: 1 }}>
|
||||
<DataGrid
|
||||
rows={rows}
|
||||
columns={columns}
|
||||
columnBufferPx={100}
|
||||
localeText={zhCN.components.MuiDataGrid.defaultProps.localeText}
|
||||
initialState={{
|
||||
pagination: { paginationModel: { pageSize: 50, page: 0 } },
|
||||
}}
|
||||
pageSizeOptions={[50]}
|
||||
hideFooterSelectedRowCount
|
||||
sx={{
|
||||
border: "none",
|
||||
"& .MuiDataGrid-cell": { borderColor: "#f0f0f0" },
|
||||
"& .MuiDataGrid-columnHeaders": { backgroundColor: "#fafafa" },
|
||||
"& .MuiDataGrid-row:hover": { backgroundColor: "#f8fafc" },
|
||||
// Hide the rows per page selector since it's fixed to 50
|
||||
"& .MuiTablePagination-selectLabel": { display: "none" },
|
||||
"& .MuiTablePagination-input": { display: "none" },
|
||||
}}
|
||||
disableRowSelectionOnClick
|
||||
onRowClick={(params) => setSelectedDay(Number(params.row.Day))}
|
||||
/>
|
||||
</Box>
|
||||
</Box>
|
||||
</Box>
|
||||
);
|
||||
};
|
||||
|
||||
export default DetectionResults;
|
||||
Reference in New Issue
Block a user