1203 lines
55 KiB
TypeScript
1203 lines
55 KiB
TypeScript
import { Button, Card, Form, Select, SideSheet, Space, Table, Tabs, Tag, Toast, Typography } from '@douyinfe/semi-ui';
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import { IconCopy, IconRefresh, IconSearch } from '@douyinfe/semi-icons';
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import { useEffect, useMemo, useState } from 'react';
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import { api, type RawFrameQuery } from '../api/client';
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import type { HistoryLocationRow, Page, RawFrameRow } from '../api/types';
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import { VehicleMap, type VehicleMapPoint } from '../components/VehicleMap';
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import { PageHeader } from '../components/PageHeader';
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import { isAMapConfigured } from '../config/appConfig';
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import { buildAppHash } from '../domain/appRoute';
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import { buildCsv, downloadCsv, type CsvColumn } from '../domain/csvExport';
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type HistoryFilters = {
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keyword?: string;
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protocol?: string;
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dateFrom?: string;
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dateTo?: string;
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fields?: string;
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includeFields?: boolean | string;
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};
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type RawFieldRow = {
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id: string;
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rawId: string;
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vin: string;
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plate: string;
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protocol: string;
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frameType: string;
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deviceTime: string;
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serverTime: string;
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fieldPath: string;
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fieldValue: unknown;
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};
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const defaultFilters: HistoryFilters = {
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keyword: 'LB9A32A24R0LS1426',
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includeFields: false
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};
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const defaultPage = { items: [], total: 0, limit: 10, offset: 0 };
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function canOpenVehicle(vin?: string) {
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const value = vin?.trim();
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return Boolean(value && value !== 'unknown');
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}
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function dateOnly(value?: string) {
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const match = String(value ?? '').match(/^(\d{4})-(\d{2})-(\d{2})/);
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return match ? `${match[1]}-${match[2]}-${match[3]}` : '';
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}
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function nextDate(value: string) {
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const match = value.match(/^(\d{4})-(\d{2})-(\d{2})$/);
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if (!match) return '';
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const date = new Date(Date.UTC(Number(match[1]), Number(match[2]) - 1, Number(match[3]) + 1));
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return date.toISOString().slice(0, 10);
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}
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function splitFields(value?: string) {
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return (value ?? '')
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.split(/[\n,]/)
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.map((item) => item.trim())
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.filter(Boolean);
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}
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type HistoryTabKey = 'location' | 'raw' | 'fields';
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function normalizeHistoryTab(value?: string): HistoryTabKey {
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if (value === 'fields') return 'fields';
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return value === 'raw' ? 'raw' : 'location';
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}
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function isIncludeFieldsEnabled(value?: boolean | string) {
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return value === true || value === 'true';
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}
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function hasRawFieldQueryScope(filters: HistoryFilters) {
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return Boolean(
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filters.keyword?.trim() ||
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filters.dateFrom?.trim() ||
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filters.dateTo?.trim() ||
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splitFields(filters.fields).length > 0
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);
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}
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function shouldBlockRawFieldQuery(filters: HistoryFilters) {
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return isIncludeFieldsEnabled(filters.includeFields) && !hasRawFieldQueryScope(filters);
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}
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function isFiniteNumber(value: unknown): value is number {
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return typeof value === 'number' && Number.isFinite(value);
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}
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function hasValidCoordinate(row: HistoryLocationRow) {
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return isFiniteNumber(row.longitude) && isFiniteNumber(row.latitude) && row.longitude !== 0 && row.latitude !== 0;
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}
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function formatNumber(value?: number, suffix = '') {
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if (!isFiniteNumber(value)) return '-';
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return `${value.toLocaleString(undefined, { maximumFractionDigits: 1 })}${suffix}`;
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}
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function formatPercent(value?: number) {
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if (!isFiniteNumber(value)) return '-';
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return `${value.toLocaleString(undefined, { maximumFractionDigits: 1 })}%`;
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}
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function timeValue(row?: HistoryLocationRow) {
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const value = row?.deviceTime || row?.serverTime || row?.lastSeen;
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const ms = Date.parse(String(value ?? '').replace(' ', 'T'));
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return Number.isFinite(ms) ? ms : undefined;
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}
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function playbackPointId(row: HistoryLocationRow, index: number) {
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return `${row.vin || 'unknown'}-${row.deviceTime || row.serverTime || row.lastSeen || index}-${index}`;
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}
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function formatDurationMinutes(value?: number, suffix = '') {
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if (!isFiniteNumber(value)) return '-';
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if (value < 1) return `${Math.round(value * 60)} 秒${suffix}`;
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return `${value.toLocaleString(undefined, { maximumFractionDigits: 1 })} 分钟${suffix}`;
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}
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type TrajectoryAnomalySummary = {
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gapCount: number;
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maxGapMinutes?: number;
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mileageRollbackCount: number;
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maxMileageRollbackKm?: number;
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overspeedCount: number;
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maxSpeedKmh?: number;
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};
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function analyzeTrajectoryAnomalies(rows: HistoryLocationRow[]): TrajectoryAnomalySummary {
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const summary: TrajectoryAnomalySummary = {
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gapCount: 0,
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mileageRollbackCount: 0,
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overspeedCount: 0
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};
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let previousTime: number | undefined;
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let previousMileage: number | undefined;
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for (const row of rows) {
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const currentTime = timeValue(row);
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if (currentTime != null && previousTime != null) {
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const gapMinutes = Math.abs(currentTime - previousTime) / 60000;
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if (gapMinutes > 30) {
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summary.gapCount += 1;
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summary.maxGapMinutes = summary.maxGapMinutes == null ? gapMinutes : Math.max(summary.maxGapMinutes, gapMinutes);
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}
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}
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if (currentTime != null) {
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previousTime = currentTime;
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}
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if (isFiniteNumber(row.totalMileageKm) && previousMileage != null && row.totalMileageKm < previousMileage) {
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const rollback = previousMileage - row.totalMileageKm;
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summary.mileageRollbackCount += 1;
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summary.maxMileageRollbackKm = summary.maxMileageRollbackKm == null ? rollback : Math.max(summary.maxMileageRollbackKm, rollback);
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}
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if (isFiniteNumber(row.totalMileageKm)) {
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previousMileage = row.totalMileageKm;
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}
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if (isFiniteNumber(row.speedKmh) && row.speedKmh > 120) {
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summary.overspeedCount += 1;
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summary.maxSpeedKmh = summary.maxSpeedKmh == null ? row.speedKmh : Math.max(summary.maxSpeedKmh, row.speedKmh);
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}
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}
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return summary;
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}
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function mergeInitialFilters(initialVin: string, initialProtocol?: string, initialFilters: Record<string, string> = {}): HistoryFilters {
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const hasExplicitFilters = Object.keys(initialFilters).length > 0;
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return {
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...defaultFilters,
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keyword: initialVin || (hasExplicitFilters ? '' : defaultFilters.keyword),
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protocol: initialProtocol,
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...initialFilters,
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includeFields: isIncludeFieldsEnabled(initialFilters.includeFields)
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};
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}
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const locationExportColumns: CsvColumn<HistoryLocationRow>[] = [
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{ title: 'VIN', value: (row) => row.vin },
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{ title: '车牌', value: (row) => row.plate },
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{ title: '数据来源', value: (row) => row.protocol },
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{ title: '经度', value: (row) => row.longitude },
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{ title: '纬度', value: (row) => row.latitude },
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{ title: '速度km/h', value: (row) => row.speedKmh },
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{ title: '总里程km', value: (row) => row.totalMileageKm },
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{ title: '设备时间', value: (row) => row.deviceTime },
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{ title: '入库时间', value: (row) => row.serverTime }
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];
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const rawExportColumns: CsvColumn<RawFrameRow>[] = [
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{ title: 'ID', value: (row) => row.id },
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{ title: 'VIN', value: (row) => row.vin },
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{ title: '车牌', value: (row) => row.plate },
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{ title: '数据来源', value: (row) => row.protocol },
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{ title: '帧类型', value: (row) => row.frameType },
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{ title: '大小B', value: (row) => row.rawSizeBytes },
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{ title: '设备时间', value: (row) => row.deviceTime },
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{ title: '入库时间', value: (row) => row.serverTime },
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{ title: '解析字段', value: (row) => row.parsedFields ?? {} }
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];
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const rawFieldExportColumns: CsvColumn<RawFieldRow>[] = [
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{ title: 'RAW ID', value: (row) => row.rawId },
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{ title: 'VIN', value: (row) => row.vin },
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{ title: '车牌', value: (row) => row.plate },
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{ title: '数据来源', value: (row) => row.protocol },
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{ title: '帧类型', value: (row) => row.frameType },
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{ title: '字段', value: (row) => row.fieldPath },
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{ title: '值', value: (row) => formatFieldValue(row.fieldValue) },
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{ title: '设备时间', value: (row) => row.deviceTime },
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{ title: '入库时间', value: (row) => row.serverTime }
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];
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function formatFieldValue(value: unknown) {
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if (value == null) return '';
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if (typeof value === 'string' || typeof value === 'number' || typeof value === 'boolean') {
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return String(value);
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}
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return JSON.stringify(value);
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}
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function flattenParsedFields(value: unknown, prefix = ''): Array<{ path: string; value: unknown }> {
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if (value == null || typeof value !== 'object') {
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return prefix ? [{ path: prefix, value }] : [];
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}
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if (Array.isArray(value)) {
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return value.flatMap((item, index) => flattenParsedFields(item, prefix ? `${prefix}.${index}` : String(index)));
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}
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return Object.entries(value as Record<string, unknown>).flatMap(([key, item]) => {
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const nextPath = prefix ? `${prefix}.${key}` : key;
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if (item != null && typeof item === 'object') {
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return flattenParsedFields(item, nextPath);
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}
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return [{ path: nextPath, value: item }];
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});
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}
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function exportFileName(prefix: string, filters: HistoryFilters) {
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const keyword = filters.keyword?.trim() || 'all';
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const protocol = filters.protocol?.trim() || 'all-source';
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return `${prefix}-${keyword}-${protocol}.csv`;
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}
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function trajectorySummaryText({
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filters,
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totalPoints,
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validPointCount,
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mileageDelta,
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maxSpeed,
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firstLocation,
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lastLocation
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}: {
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filters: HistoryFilters;
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totalPoints: number;
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validPointCount: number;
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mileageDelta?: number;
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maxSpeed?: number;
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firstLocation?: HistoryLocationRow;
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lastLocation?: HistoryLocationRow;
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}) {
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const vehicle = filters.keyword?.trim() || '全部车辆';
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const protocol = filters.protocol?.trim() || '全部来源';
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const dateFrom = filters.dateFrom?.trim();
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const dateTo = filters.dateTo?.trim();
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const range = dateFrom || dateTo ? `${dateFrom || '-'} 至 ${dateTo || '-'}` : '全部时间';
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const startTime = firstLocation?.deviceTime || firstLocation?.serverTime || '-';
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const endTime = lastLocation?.deviceTime || lastLocation?.serverTime || '-';
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return [
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'【轨迹回放摘要】',
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`车辆：${vehicle}`,
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`数据来源：${protocol}`,
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`查询范围：${range}`,
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`轨迹点：${totalPoints.toLocaleString()}，有效定位：${validPointCount.toLocaleString()}`,
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`区间里程：${formatNumber(mileageDelta, ' km')}`,
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`最高速度：${formatNumber(maxSpeed, ' km/h')}`,
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`起点：${startTime}`,
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`终点：${endTime}`,
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`当前位置服务：${window.location.origin}${window.location.pathname}${window.location.hash}`
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].join('\n');
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}
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function appURL(hash: string) {
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return `${window.location.origin}${window.location.pathname}${hash}`;
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}
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function historyEvidencePackageText({
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filters,
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locationCount,
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rawCount,
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fieldCount,
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validPointCount,
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mileageDelta,
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maxSpeed,
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firstLocation,
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lastLocation,
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anomalySummary
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}: {
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filters: HistoryFilters;
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locationCount: number;
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rawCount: number;
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fieldCount: number;
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validPointCount: number;
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mileageDelta?: number;
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maxSpeed?: number;
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firstLocation?: HistoryLocationRow;
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lastLocation?: HistoryLocationRow;
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anomalySummary: TrajectoryAnomalySummary;
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}) {
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const vehicle = filters.keyword?.trim() || '';
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const protocol = filters.protocol?.trim() || '';
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const evidenceFilters = {
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...(filters.dateFrom?.trim() ? { dateFrom: filters.dateFrom.trim() } : {}),
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...(filters.dateTo?.trim() ? { dateTo: filters.dateTo.trim() } : {})
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};
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return [
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'【历史证据包】',
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`车辆：${vehicle || '全部车辆'}`,
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`数据来源：${protocol || '全部来源'}`,
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`查询范围：${filters.dateFrom?.trim() || '-'} 至 ${filters.dateTo?.trim() || '-'}`,
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`位置记录：${locationCount.toLocaleString()}，有效定位：${validPointCount.toLocaleString()}`,
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`RAW帧：${rawCount.toLocaleString()}，解析字段：${fieldCount.toLocaleString()}`,
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`区间里程：${formatNumber(mileageDelta, ' km')}，最高速度：${formatNumber(maxSpeed, ' km/h')}`,
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`起点：${firstLocation?.deviceTime || firstLocation?.serverTime || '-'}`,
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`终点：${lastLocation?.deviceTime || lastLocation?.serverTime || '-'}`,
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`异常：断点 ${anomalySummary.gapCount.toLocaleString()} / 里程回退 ${anomalySummary.mileageRollbackCount.toLocaleString()} / 超速 ${anomalySummary.overspeedCount.toLocaleString()}`,
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`轨迹回放：${appURL(buildAppHash({ page: 'history', keyword: vehicle, protocol, filters: evidenceFilters }))}`,
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`历史位置：${appURL(buildAppHash({ page: 'history-query', keyword: vehicle, protocol, filters: { ...evidenceFilters, tab: 'location' } }))}`,
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`RAW证据：${appURL(buildAppHash({ page: 'history-query', keyword: vehicle, protocol, filters: { ...evidenceFilters, tab: 'raw', includeFields: 'true' } }))}`,
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`解析字段：${appURL(buildAppHash({ page: 'history-query', keyword: vehicle, protocol, filters: { ...evidenceFilters, tab: 'fields', includeFields: 'true', ...(filters.fields?.trim() ? { fields: filters.fields.trim() } : {}) } }))}`,
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`里程复核：${appURL(buildAppHash({ page: 'mileage', keyword: vehicle, protocol, filters: evidenceFilters }))}`,
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`车辆服务：${appURL(buildAppHash({ page: 'detail', keyword: vehicle, protocol }))}`
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].join('\n');
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}
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function trajectoryReviewPackageText({
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filters,
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locationCount,
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rawCount,
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fieldCount,
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validPointCount,
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coverageRate,
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playbackSpanMinutes,
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playbackIntervalMinutes,
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mileageDelta,
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maxSpeed,
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firstLocation,
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lastLocation,
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currentPlayback,
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currentPlaybackIndex,
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playbackCount,
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anomalySummary
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}: {
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filters: HistoryFilters;
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locationCount: number;
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rawCount: number;
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fieldCount: number;
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validPointCount: number;
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coverageRate?: number;
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playbackSpanMinutes?: number;
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playbackIntervalMinutes?: number;
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mileageDelta?: number;
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maxSpeed?: number;
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firstLocation?: HistoryLocationRow;
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lastLocation?: HistoryLocationRow;
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currentPlayback?: HistoryLocationRow;
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currentPlaybackIndex: number;
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playbackCount: number;
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anomalySummary: TrajectoryAnomalySummary;
|
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}) {
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const vehicle = filters.keyword?.trim() || '';
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const protocol = filters.protocol?.trim() || '';
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const evidenceFilters = {
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...(filters.dateFrom?.trim() ? { dateFrom: filters.dateFrom.trim() } : {}),
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...(filters.dateTo?.trim() ? { dateTo: filters.dateTo.trim() } : {})
|
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};
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const anomalyAction = anomalySummary.gapCount > 0 || anomalySummary.mileageRollbackCount > 0 || anomalySummary.overspeedCount > 0
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? '建议核对 RAW 帧、解析字段、当日里程统计，并确认平台是否存在断链或补发。'
|
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: '当前页未发现明显断点、里程回退或速度异常，可作为轨迹证据使用。';
|
||
return [
|
||
'【轨迹复盘交接包】',
|
||
`车辆：${vehicle || '全部车辆'}`,
|
||
`数据来源：${protocol || '全部来源'}`,
|
||
`查询范围：${filters.dateFrom?.trim() || '-'} 至 ${filters.dateTo?.trim() || '-'}`,
|
||
`轨迹规模：位置 ${locationCount.toLocaleString()} / 有效定位 ${validPointCount.toLocaleString()} / RAW ${rawCount.toLocaleString()} / 解析字段 ${fieldCount.toLocaleString()}`,
|
||
`轨迹质量：定位覆盖率 ${formatPercent(coverageRate)} / 回放跨度 ${formatDurationMinutes(playbackSpanMinutes)} / 采样间隔 ${formatDurationMinutes(playbackIntervalMinutes, '/点')}`,
|
||
`里程速度：区间里程 ${formatNumber(mileageDelta, ' km')} / 最高速度 ${formatNumber(maxSpeed, ' km/h')}`,
|
||
`起点：${firstLocation?.deviceTime || firstLocation?.serverTime || '-'}`,
|
||
`终点：${lastLocation?.deviceTime || lastLocation?.serverTime || '-'}`,
|
||
`当前回放点：${currentPlayback ? `点 ${currentPlaybackIndex + 1}/${playbackCount}，${currentPlayback.deviceTime || currentPlayback.serverTime || '-'}，${formatNumber(currentPlayback.speedKmh, ' km/h')}，${formatNumber(currentPlayback.totalMileageKm, ' km')}` : '-'}`,
|
||
`异常判读：断点 ${anomalySummary.gapCount.toLocaleString()} / 里程回退 ${anomalySummary.mileageRollbackCount.toLocaleString()} / 超速 ${anomalySummary.overspeedCount.toLocaleString()}`,
|
||
`最大断点：${formatDurationMinutes(anomalySummary.maxGapMinutes)}`,
|
||
`最大里程回退：${formatNumber(anomalySummary.maxMileageRollbackKm, ' km')}`,
|
||
`最高异常速度：${formatNumber(anomalySummary.maxSpeedKmh, ' km/h')}`,
|
||
`下一步：${anomalyAction}`,
|
||
`轨迹回放：${appURL(buildAppHash({ page: 'history', keyword: vehicle, protocol, filters: evidenceFilters }))}`,
|
||
`历史位置：${appURL(buildAppHash({ page: 'history-query', keyword: vehicle, protocol, filters: { ...evidenceFilters, tab: 'location' } }))}`,
|
||
`RAW证据：${appURL(buildAppHash({ page: 'history-query', keyword: vehicle, protocol, filters: { ...evidenceFilters, tab: 'raw', includeFields: 'true' } }))}`,
|
||
`解析字段：${appURL(buildAppHash({ page: 'history-query', keyword: vehicle, protocol, filters: { ...evidenceFilters, tab: 'fields', includeFields: 'true', ...(filters.fields?.trim() ? { fields: filters.fields.trim() } : {}) } }))}`,
|
||
`里程复核：${appURL(buildAppHash({ page: 'mileage', keyword: vehicle, protocol, filters: evidenceFilters }))}`,
|
||
`车辆服务：${appURL(buildAppHash({ page: 'detail', keyword: vehicle, protocol }))}`
|
||
].join('\n');
|
||
}
|
||
|
||
function amapLocationName(row: HistoryLocationRow, fallback: string) {
|
||
return encodeURIComponent(row.plate || row.vin || fallback);
|
||
}
|
||
|
||
function amapTrajectoryURL(points: HistoryLocationRow[]) {
|
||
const validPoints = points.filter(hasValidCoordinate);
|
||
if (validPoints.length === 0) return '';
|
||
if (validPoints.length === 1) {
|
||
const point = validPoints[0];
|
||
return `https://uri.amap.com/marker?position=${point.longitude},${point.latitude}&name=${amapLocationName(point, '车辆位置')}&src=lingniu-vehicle-platform`;
|
||
}
|
||
const start = validPoints[0];
|
||
const end = validPoints[validPoints.length - 1];
|
||
return [
|
||
'https://uri.amap.com/navigation?',
|
||
`from=${start.longitude},${start.latitude},${amapLocationName(start, '轨迹起点')}`,
|
||
`&to=${end.longitude},${end.latitude},${amapLocationName(end, '轨迹终点')}`,
|
||
'&mode=car',
|
||
'&policy=1',
|
||
'&src=lingniu-vehicle-platform'
|
||
].join('');
|
||
}
|
||
|
||
async function copyText(value: string, label: string) {
|
||
const text = value.trim();
|
||
if (!text) {
|
||
Toast.warning(`${label}为空`);
|
||
return;
|
||
}
|
||
try {
|
||
await navigator.clipboard.writeText(text);
|
||
Toast.success(`已复制${label}`);
|
||
} catch {
|
||
Toast.error(`复制${label}失败`);
|
||
}
|
||
}
|
||
|
||
export function History({
|
||
mode = 'trajectory',
|
||
initialVin,
|
||
initialProtocol,
|
||
initialTab,
|
||
initialFilters = {},
|
||
onFiltersChange,
|
||
onOpenVehicle,
|
||
onOpenMileage,
|
||
onOpenRaw
|
||
}: {
|
||
mode?: 'trajectory' | 'query';
|
||
initialVin: string;
|
||
initialProtocol?: string;
|
||
initialTab?: string;
|
||
initialFilters?: Record<string, string>;
|
||
onFiltersChange?: (filters: HistoryFilters, tab?: HistoryTabKey) => void;
|
||
onOpenVehicle: (vin: string, protocol?: string) => void;
|
||
onOpenMileage?: (filters: Record<string, string>) => void;
|
||
onOpenRaw?: (filters: Record<string, string>) => void;
|
||
}) {
|
||
const initialHistoryFilters = mergeInitialFilters(initialVin, initialProtocol, initialFilters);
|
||
const [filters, setFilters] = useState<HistoryFilters>(initialHistoryFilters);
|
||
const [activeTab, setActiveTab] = useState<HistoryTabKey>(normalizeHistoryTab(initialTab));
|
||
const [locations, setLocations] = useState<Page<HistoryLocationRow>>(defaultPage);
|
||
const [rawFrames, setRawFrames] = useState<Page<RawFrameRow>>(defaultPage);
|
||
const [selectedRaw, setSelectedRaw] = useState<RawFrameRow | null>(null);
|
||
const [loadingLocations, setLoadingLocations] = useState(false);
|
||
const [loadingRaw, setLoadingRaw] = useState(false);
|
||
const [locationPagination, setLocationPagination] = useState({ currentPage: 1, pageSize: 10 });
|
||
const [rawPagination, setRawPagination] = useState({ currentPage: 1, pageSize: 10 });
|
||
const [playbackIndex, setPlaybackIndex] = useState(0);
|
||
const [playbackPlaying, setPlaybackPlaying] = useState(false);
|
||
const [playbackSpeedMs, setPlaybackSpeedMs] = useState(1200);
|
||
|
||
const buildParams = (nextFilters: HistoryFilters, limit: number, offset: number, raw: boolean) => {
|
||
const params = new URLSearchParams({ limit: String(limit), offset: String(offset) });
|
||
if (nextFilters.keyword?.trim()) params.set('keyword', nextFilters.keyword.trim());
|
||
if (nextFilters.protocol?.trim()) params.set('protocol', nextFilters.protocol.trim());
|
||
if (nextFilters.dateFrom?.trim()) params.set('dateFrom', nextFilters.dateFrom.trim());
|
||
if (nextFilters.dateTo?.trim()) params.set('dateTo', nextFilters.dateTo.trim());
|
||
if (raw && isIncludeFieldsEnabled(nextFilters.includeFields)) params.set('includeFields', 'true');
|
||
if (raw && nextFilters.fields?.trim()) params.set('fields', nextFilters.fields.trim());
|
||
return params;
|
||
};
|
||
|
||
const buildRawQuery = (nextFilters: HistoryFilters, limit: number, offset: number, forceIncludeFields = false): RawFrameQuery => {
|
||
const query: RawFrameQuery = { limit, offset };
|
||
if (nextFilters.keyword?.trim()) query.keyword = nextFilters.keyword.trim();
|
||
if (nextFilters.protocol?.trim()) query.protocol = nextFilters.protocol.trim();
|
||
if (nextFilters.dateFrom?.trim()) query.dateFrom = nextFilters.dateFrom.trim();
|
||
if (nextFilters.dateTo?.trim()) query.dateTo = nextFilters.dateTo.trim();
|
||
if (forceIncludeFields || isIncludeFieldsEnabled(nextFilters.includeFields)) query.includeFields = true;
|
||
const fields = splitFields(nextFilters.fields);
|
||
if (fields.length > 0) query.fields = fields;
|
||
return query;
|
||
};
|
||
|
||
const loadLocations = (nextFilters = filters, page = locationPagination.currentPage, pageSize = locationPagination.pageSize) => {
|
||
setLoadingLocations(true);
|
||
api.historyLocations(buildParams(nextFilters, pageSize, (page - 1) * pageSize, false))
|
||
.then((nextPage) => {
|
||
setLocations(nextPage);
|
||
setLocationPagination({ currentPage: page, pageSize });
|
||
setPlaybackIndex(0);
|
||
setPlaybackPlaying(false);
|
||
})
|
||
.catch((error: Error) => Toast.error(error.message))
|
||
.finally(() => setLoadingLocations(false));
|
||
};
|
||
|
||
const loadRawFrames = (nextFilters = filters, page = rawPagination.currentPage, pageSize = rawPagination.pageSize, forceIncludeFields = activeTab === 'fields') => {
|
||
if ((forceIncludeFields || isIncludeFieldsEnabled(nextFilters.includeFields)) && shouldBlockRawFieldQuery(nextFilters)) {
|
||
setRawFrames({ items: [], total: 0, limit: pageSize, offset: (page - 1) * pageSize });
|
||
setRawPagination({ currentPage: page, pageSize });
|
||
Toast.warning('RAW 解析字段查询需要车辆、时间范围或字段裁剪');
|
||
return;
|
||
}
|
||
setLoadingRaw(true);
|
||
api.rawFramesQuery(buildRawQuery(nextFilters, pageSize, (page - 1) * pageSize, forceIncludeFields))
|
||
.then((nextPage) => {
|
||
setRawFrames(nextPage);
|
||
setRawPagination({ currentPage: page, pageSize });
|
||
})
|
||
.catch((error: Error) => Toast.error(error.message))
|
||
.finally(() => setLoadingRaw(false));
|
||
};
|
||
|
||
const submit = (values: Record<string, unknown>) => {
|
||
const nextFilters: HistoryFilters = {
|
||
keyword: String(values.keyword ?? ''),
|
||
protocol: String(values.protocol ?? ''),
|
||
dateFrom: String(values.dateFrom ?? ''),
|
||
dateTo: String(values.dateTo ?? ''),
|
||
fields: String(values.fields ?? ''),
|
||
includeFields: Boolean(values.includeFields)
|
||
};
|
||
setFilters(nextFilters);
|
||
onFiltersChange?.(nextFilters, activeTab);
|
||
loadLocations(nextFilters, 1, locationPagination.pageSize);
|
||
loadRawFrames(nextFilters, 1, rawPagination.pageSize, activeTab === 'fields');
|
||
};
|
||
|
||
const applyFilters = (nextFilters: HistoryFilters) => {
|
||
setFilters(nextFilters);
|
||
onFiltersChange?.(nextFilters, activeTab);
|
||
loadLocations(nextFilters, 1, locationPagination.pageSize);
|
||
loadRawFrames(nextFilters, 1, rawPagination.pageSize, activeTab === 'fields');
|
||
};
|
||
|
||
const reset = () => {
|
||
const nextFilters = mergeInitialFilters(initialVin, initialProtocol, {});
|
||
applyFilters(nextFilters);
|
||
};
|
||
|
||
useEffect(() => {
|
||
const nextFilters = mergeInitialFilters(initialVin, initialProtocol, initialFilters);
|
||
const nextTab = normalizeHistoryTab(initialTab);
|
||
setFilters(nextFilters);
|
||
setActiveTab(nextTab);
|
||
loadLocations(nextFilters, 1, locationPagination.pageSize);
|
||
loadRawFrames(nextFilters, 1, rawPagination.pageSize, nextTab === 'fields');
|
||
}, [initialVin, initialProtocol, initialTab, JSON.stringify(initialFilters)]);
|
||
|
||
const changeTab = (key: string) => {
|
||
const nextTab = normalizeHistoryTab(String(key));
|
||
const nextFilters = nextTab === 'fields' ? { ...filters, includeFields: true } : filters;
|
||
setActiveTab(nextTab);
|
||
setFilters(nextFilters);
|
||
onFiltersChange?.(nextFilters, nextTab);
|
||
if (nextTab === 'fields') {
|
||
loadRawFrames(nextFilters, 1, rawPagination.pageSize, true);
|
||
}
|
||
};
|
||
|
||
const rawFieldCount = useMemo(() => Object.keys(selectedRaw?.parsedFields ?? {}).length, [selectedRaw]);
|
||
const rawItems = rawFrames.items ?? [];
|
||
const rawFieldRows = useMemo<RawFieldRow[]>(() => rawItems.flatMap((row) => {
|
||
const fields = flattenParsedFields(row.parsedFields ?? {});
|
||
return fields.map((field, index) => ({
|
||
id: `${row.id}-${field.path}-${index}`,
|
||
rawId: row.id,
|
||
vin: row.vin,
|
||
plate: row.plate,
|
||
protocol: row.protocol,
|
||
frameType: row.frameType,
|
||
deviceTime: row.deviceTime,
|
||
serverTime: row.serverTime,
|
||
fieldPath: field.path,
|
||
fieldValue: field.value
|
||
}));
|
||
}), [rawItems]);
|
||
const locationItems = locations.items ?? [];
|
||
const validLocations = locationItems.filter(hasValidCoordinate);
|
||
const mileageValues = locationItems.map((item) => item.totalMileageKm).filter(isFiniteNumber);
|
||
const mileageDelta = mileageValues.length > 1 ? Math.max(...mileageValues) - Math.min(...mileageValues) : undefined;
|
||
const maxSpeed = locationItems.map((item) => item.speedKmh).filter(isFiniteNumber).reduce<number | undefined>((max, item) => max == null ? item : Math.max(max, item), undefined);
|
||
const firstLocation = locationItems[0];
|
||
const lastLocation = locationItems[locationItems.length - 1];
|
||
const trajectoryCoverageRate = locationItems.length > 0 ? (validLocations.length / locationItems.length) * 100 : undefined;
|
||
const playbackStartMs = timeValue(firstLocation);
|
||
const playbackEndMs = timeValue(lastLocation);
|
||
const playbackSpanMinutes = playbackStartMs != null && playbackEndMs != null ? Math.abs(playbackEndMs - playbackStartMs) / 60000 : undefined;
|
||
const playbackIntervalMinutes = isFiniteNumber(playbackSpanMinutes) && locationItems.length > 1 ? playbackSpanMinutes / (locationItems.length - 1) : undefined;
|
||
const trajectoryAnomalies = useMemo(() => analyzeTrajectoryAnomalies(locationItems), [locationItems]);
|
||
const hasTrajectoryAnomaly = trajectoryAnomalies.gapCount > 0 || trajectoryAnomalies.mileageRollbackCount > 0 || trajectoryAnomalies.overspeedCount > 0;
|
||
const currentVehicleKeyword = filters.keyword?.trim() ?? '';
|
||
const currentProtocol = filters.protocol?.trim() ?? '';
|
||
const pageTitle = mode === 'query' ? '历史查询' : '轨迹回放';
|
||
const pageDescription = mode === 'query'
|
||
? '按车辆查询历史位置、RAW 帧和扁平解析字段，支持分页、字段裁剪和证据导出'
|
||
: '按车辆查询历史位置、轨迹回放和 RAW 帧证据，数据来源只作为过滤和诊断维度';
|
||
const scopeDescription = mode === 'query'
|
||
? '历史位置、RAW 帧和解析字段按当前车辆与来源范围分页查询。'
|
||
: '历史位置和 RAW 帧按当前车辆与来源范围查询。';
|
||
const amapConfigured = isAMapConfigured();
|
||
const selectedFieldCount = splitFields(filters.fields).length;
|
||
const playbackRows = validLocations.length > 0 ? validLocations : locationItems;
|
||
const currentPlaybackIndex = playbackRows.length === 0 ? -1 : Math.min(playbackIndex, playbackRows.length - 1);
|
||
const currentPlayback = currentPlaybackIndex >= 0 ? playbackRows[currentPlaybackIndex] : undefined;
|
||
const currentPlaybackPointId = currentPlayback ? playbackPointId(currentPlayback, currentPlaybackIndex) : undefined;
|
||
const playbackAtEnd = playbackRows.length > 0 && currentPlaybackIndex >= playbackRows.length - 1;
|
||
const playbackPoints: VehicleMapPoint[] = validLocations.map((row, index) => ({
|
||
id: playbackPointId(row, index),
|
||
label: row.plate || row.vin || `点 ${index + 1}`,
|
||
longitude: row.longitude,
|
||
latitude: row.latitude,
|
||
online: true,
|
||
title: `${row.deviceTime || row.serverTime || '-'} ${row.speedKmh ?? '-'} km/h`
|
||
}));
|
||
const filterSummary = [
|
||
currentVehicleKeyword ? `车辆：${currentVehicleKeyword}` : '',
|
||
currentProtocol ? `数据来源：${currentProtocol}` : '',
|
||
filters.dateFrom?.trim() ? `开始时间：${filters.dateFrom.trim()}` : '',
|
||
filters.dateTo?.trim() ? `结束时间：${filters.dateTo.trim()}` : '',
|
||
isIncludeFieldsEnabled(filters.includeFields) ? '返回解析字段' : '',
|
||
selectedFieldCount > 0 ? `字段裁剪：${selectedFieldCount} 个` : ''
|
||
].filter(Boolean);
|
||
const clearRangeFilters = () => {
|
||
applyFilters(currentVehicleKeyword ? { keyword: currentVehicleKeyword } : {});
|
||
};
|
||
const exportLocations = () => {
|
||
if (locations.items.length === 0) {
|
||
Toast.warning('当前没有可导出的位置历史');
|
||
return;
|
||
}
|
||
downloadCsv(exportFileName('history-locations', filters), buildCsv(locationExportColumns, locations.items));
|
||
Toast.success(`已导出 ${locations.items.length} 条位置历史`);
|
||
};
|
||
const exportRawFrames = () => {
|
||
if (rawFrames.items.length === 0) {
|
||
Toast.warning('当前没有可导出的 RAW 帧');
|
||
return;
|
||
}
|
||
downloadCsv(exportFileName('raw-frames', filters), buildCsv(rawExportColumns, rawFrames.items));
|
||
Toast.success(`已导出 ${rawFrames.items.length} 条 RAW 帧`);
|
||
};
|
||
const exportRawFields = () => {
|
||
if (rawFieldRows.length === 0) {
|
||
Toast.warning('当前没有可导出的解析字段');
|
||
return;
|
||
}
|
||
downloadCsv(exportFileName('raw-fields', filters), buildCsv(rawFieldExportColumns, rawFieldRows));
|
||
Toast.success(`已导出 ${rawFieldRows.length} 条解析字段`);
|
||
};
|
||
const copyTrajectorySummary = () => {
|
||
copyText(
|
||
trajectorySummaryText({
|
||
filters,
|
||
totalPoints: locations.total,
|
||
validPointCount: validLocations.length,
|
||
mileageDelta,
|
||
maxSpeed,
|
||
firstLocation,
|
||
lastLocation
|
||
}),
|
||
'轨迹摘要'
|
||
);
|
||
};
|
||
const copyHistoryEvidencePackage = () => {
|
||
copyText(
|
||
historyEvidencePackageText({
|
||
filters,
|
||
locationCount: locations.total ?? 0,
|
||
rawCount: rawFrames.total ?? 0,
|
||
fieldCount: rawFieldRows.length,
|
||
validPointCount: validLocations.length,
|
||
mileageDelta,
|
||
maxSpeed,
|
||
firstLocation,
|
||
lastLocation,
|
||
anomalySummary: trajectoryAnomalies
|
||
}),
|
||
'历史证据包'
|
||
);
|
||
};
|
||
const copyTrajectoryReviewPackage = () => {
|
||
copyText(
|
||
trajectoryReviewPackageText({
|
||
filters,
|
||
locationCount: locations.total ?? 0,
|
||
rawCount: rawFrames.total ?? 0,
|
||
fieldCount: rawFieldRows.length,
|
||
validPointCount: validLocations.length,
|
||
coverageRate: trajectoryCoverageRate,
|
||
playbackSpanMinutes,
|
||
playbackIntervalMinutes,
|
||
mileageDelta,
|
||
maxSpeed,
|
||
firstLocation,
|
||
lastLocation,
|
||
currentPlayback,
|
||
currentPlaybackIndex,
|
||
playbackCount: playbackRows.length,
|
||
anomalySummary: trajectoryAnomalies
|
||
}),
|
||
'轨迹复盘交接包'
|
||
);
|
||
};
|
||
const openAmapTrajectory = () => {
|
||
const url = amapTrajectoryURL(validLocations);
|
||
if (!url) {
|
||
Toast.warning('当前轨迹没有有效坐标');
|
||
return;
|
||
}
|
||
window.open(url, '_blank', 'noopener,noreferrer');
|
||
};
|
||
useEffect(() => {
|
||
if (!playbackPlaying || playbackRows.length <= 1) return undefined;
|
||
const timer = window.setInterval(() => {
|
||
setPlaybackIndex((current) => {
|
||
if (current >= playbackRows.length - 1) {
|
||
setPlaybackPlaying(false);
|
||
return current;
|
||
}
|
||
const next = current + 1;
|
||
if (next >= playbackRows.length - 1) setPlaybackPlaying(false);
|
||
return next;
|
||
});
|
||
}, playbackSpeedMs);
|
||
return () => window.clearInterval(timer);
|
||
}, [playbackPlaying, playbackRows.length, playbackSpeedMs]);
|
||
const togglePlayback = () => {
|
||
if (playbackPlaying) {
|
||
setPlaybackPlaying(false);
|
||
return;
|
||
}
|
||
if (playbackRows.length <= 1) return;
|
||
if (playbackAtEnd) setPlaybackIndex(0);
|
||
setPlaybackPlaying(true);
|
||
};
|
||
const movePlayback = (delta: number) => {
|
||
if (playbackRows.length === 0) return;
|
||
setPlaybackPlaying(false);
|
||
setPlaybackIndex((current) => Math.min(Math.max(current + delta, 0), playbackRows.length - 1));
|
||
};
|
||
const selectPlaybackPoint = (nextIndex: number) => {
|
||
if (playbackRows.length === 0) return;
|
||
setPlaybackPlaying(false);
|
||
setPlaybackIndex(Math.min(Math.max(nextIndex, 0), playbackRows.length - 1));
|
||
};
|
||
const selectPlaybackMapPoint = (point: VehicleMapPoint) => {
|
||
const index = playbackRows.findIndex((row, rowIndex) => playbackPointId(row, rowIndex) === point.id);
|
||
if (index >= 0) {
|
||
selectPlaybackPoint(index);
|
||
}
|
||
};
|
||
const openPlaybackVehicle = () => {
|
||
if (!currentPlayback || !canOpenVehicle(currentPlayback.vin)) return;
|
||
onOpenVehicle(currentPlayback.vin, currentPlayback.protocol);
|
||
};
|
||
const openLocationMileage = (row: HistoryLocationRow) => {
|
||
if (!canOpenVehicle(row.vin)) return;
|
||
const day = dateOnly(row.deviceTime || row.serverTime || row.lastSeen);
|
||
onOpenMileage?.({
|
||
keyword: row.vin,
|
||
protocol: row.protocol,
|
||
...(day ? { dateFrom: day, dateTo: nextDate(day) } : {})
|
||
});
|
||
};
|
||
const openLocationRaw = (row: HistoryLocationRow) => {
|
||
if (!canOpenVehicle(row.vin)) return;
|
||
const day = dateOnly(row.deviceTime || row.serverTime || row.lastSeen);
|
||
onOpenRaw?.({
|
||
keyword: row.vin,
|
||
protocol: row.protocol,
|
||
...(day ? { dateFrom: day, dateTo: nextDate(day) } : {}),
|
||
includeFields: 'true'
|
||
});
|
||
};
|
||
const openRawMileage = (row: RawFrameRow) => {
|
||
if (!canOpenVehicle(row.vin)) return;
|
||
const day = dateOnly(row.deviceTime || row.serverTime);
|
||
onOpenMileage?.({
|
||
keyword: row.vin,
|
||
protocol: row.protocol,
|
||
...(day ? { dateFrom: day, dateTo: nextDate(day) } : {})
|
||
});
|
||
};
|
||
|
||
return (
|
||
<div className="vp-page">
|
||
<PageHeader
|
||
title={pageTitle}
|
||
description={pageDescription}
|
||
actions={(
|
||
<Space>
|
||
<Button icon={<IconCopy />} onClick={copyHistoryEvidencePackage}>复制历史证据包</Button>
|
||
<Button disabled={!currentVehicleKeyword} onClick={() => onOpenVehicle(currentVehicleKeyword, currentProtocol)}>
|
||
当前车辆服务
|
||
</Button>
|
||
</Space>
|
||
)}
|
||
/>
|
||
<div className="vp-scope-bar">
|
||
<span className="vp-scope-label">当前车辆：{currentVehicleKeyword || '-'}</span>
|
||
<Tag color={currentProtocol ? 'blue' : 'green'}>当前来源：{currentProtocol || '全部来源'}</Tag>
|
||
<Typography.Text type="tertiary">{scopeDescription}</Typography.Text>
|
||
</div>
|
||
<Card bordered>
|
||
<Form key={JSON.stringify(filters)} initValues={filters} layout="horizontal" onSubmit={(values) => submit(values)}>
|
||
<Form.Input field="keyword" label="车辆关键词" placeholder="VIN / 车牌 / 手机号" style={{ width: 260 }} />
|
||
<Form.Select field="protocol" label="数据来源" placeholder="全部来源" style={{ width: 190 }}>
|
||
<Select.Option value="GB32960">GB32960</Select.Option>
|
||
<Select.Option value="JT808">JT808</Select.Option>
|
||
<Select.Option value="YUTONG_MQTT">YUTONG_MQTT</Select.Option>
|
||
</Form.Select>
|
||
<Form.Input field="dateFrom" label="开始时间" placeholder="2026-07-03 00:00:00" style={{ width: 210 }} />
|
||
<Form.Input field="dateTo" label="结束时间" placeholder="2026-07-03 23:59:59" style={{ width: 210 }} />
|
||
<Form.Checkbox field="includeFields" noLabel>
|
||
返回解析字段
|
||
</Form.Checkbox>
|
||
<Form.TextArea
|
||
field="fields"
|
||
label="字段裁剪"
|
||
placeholder="可选，逗号分隔，如 jt808.header.phone,jt808.location.longitude"
|
||
autosize={{ minRows: 1, maxRows: 3 }}
|
||
style={{ width: 420 }}
|
||
/>
|
||
<Space align="start">
|
||
<Button icon={<IconSearch />} htmlType="submit" theme="solid" type="primary">查询</Button>
|
||
<Button icon={<IconRefresh />} onClick={reset}>重置</Button>
|
||
</Space>
|
||
</Form>
|
||
</Card>
|
||
{filterSummary.length > 0 ? (
|
||
<Card bordered title="当前历史筛选" style={{ marginTop: 16 }}>
|
||
<Space wrap>
|
||
{filterSummary.map((item) => (
|
||
<Tag key={item} color="blue">{item}</Tag>
|
||
))}
|
||
<Button size="small" onClick={clearRangeFilters}>清空筛选</Button>
|
||
</Space>
|
||
</Card>
|
||
) : null}
|
||
<Card
|
||
bordered
|
||
title={(
|
||
<Space>
|
||
<span>轨迹回放作业台</span>
|
||
<Button size="small" theme="light" icon={<IconCopy />} onClick={copyTrajectorySummary}>复制轨迹摘要</Button>
|
||
<Button size="small" theme="light" icon={<IconCopy />} onClick={copyHistoryEvidencePackage}>复制历史证据包</Button>
|
||
<Button size="small" theme="light" icon={<IconCopy />} onClick={copyTrajectoryReviewPackage}>复制轨迹复盘包</Button>
|
||
<Button size="small" theme="light" disabled={validLocations.length === 0} onClick={openAmapTrajectory}>高德线路</Button>
|
||
</Space>
|
||
)}
|
||
style={{ marginTop: 16 }}
|
||
>
|
||
<div className="vp-playback-layout">
|
||
<div className="vp-playback-map">
|
||
<div className="vp-monitor-map-header">
|
||
<Space wrap>
|
||
<Tag color="blue">{validLocations.length.toLocaleString()} 个有效轨迹点</Tag>
|
||
<Tag color={currentProtocol ? 'blue' : 'green'}>{currentProtocol || '全部来源'}</Tag>
|
||
<Tag color="green">{formatNumber(mileageDelta, ' km')}</Tag>
|
||
<Tag color={amapConfigured ? 'green' : 'orange'}>{amapConfigured ? '高德地图配置就绪' : '高德地图待配置'}</Tag>
|
||
</Space>
|
||
</div>
|
||
<VehicleMap
|
||
points={playbackPoints}
|
||
mode="track"
|
||
selectedId={currentPlaybackPointId}
|
||
onPointSelect={selectPlaybackMapPoint}
|
||
fallbackLabel="高德地图未配置，显示轨迹坐标预览"
|
||
/>
|
||
</div>
|
||
<div className="vp-playback-side">
|
||
{[
|
||
{ label: '轨迹点', value: locations.total.toLocaleString(), color: 'blue' as const },
|
||
{ label: '有效定位', value: validLocations.length.toLocaleString(), color: 'green' as const },
|
||
{ label: '区间里程', value: formatNumber(mileageDelta, ' km'), color: 'green' as const },
|
||
{ label: '最高速度', value: formatNumber(maxSpeed, ' km/h'), color: 'orange' as const }
|
||
].map((item) => (
|
||
<div key={item.label} className="vp-monitor-metric">
|
||
<Tag color={item.color}>{item.label}</Tag>
|
||
<div className="vp-monitor-metric-value">{item.value}</div>
|
||
</div>
|
||
))}
|
||
<div className="vp-playback-current">
|
||
<div className="vp-map-service-queue-title">当前回放点</div>
|
||
{currentPlayback ? (
|
||
<>
|
||
<Space wrap>
|
||
<Tag color="blue">点 {currentPlaybackIndex + 1} / {playbackRows.length}</Tag>
|
||
<Tag color={currentPlayback.protocol ? 'blue' : 'grey'}>{currentPlayback.protocol || '-'}</Tag>
|
||
</Space>
|
||
<Typography.Text strong>{currentPlayback.plate || currentPlayback.vin}</Typography.Text>
|
||
<Typography.Text type="tertiary" size="small">{currentPlayback.deviceTime || currentPlayback.serverTime || '-'}</Typography.Text>
|
||
<Space wrap>
|
||
<Tag color="green">{formatNumber(currentPlayback.speedKmh, ' km/h')}</Tag>
|
||
<Tag color="blue">{formatNumber(currentPlayback.totalMileageKm, ' km')}</Tag>
|
||
</Space>
|
||
<Space wrap>
|
||
<Button
|
||
size="small"
|
||
aria-label={playbackPlaying ? '暂停轨迹' : '播放轨迹'}
|
||
disabled={playbackRows.length <= 1}
|
||
onClick={togglePlayback}
|
||
>
|
||
{playbackPlaying ? '暂停' : playbackAtEnd ? '重播' : '播放'}
|
||
</Button>
|
||
<Typography.Text type="secondary" size="small">播放速度</Typography.Text>
|
||
<Select
|
||
size="small"
|
||
value={String(playbackSpeedMs)}
|
||
style={{ width: 108 }}
|
||
onChange={(value) => setPlaybackSpeedMs(Number(value))}
|
||
>
|
||
<Select.Option value="1800">慢速</Select.Option>
|
||
<Select.Option value="1200">标准</Select.Option>
|
||
<Select.Option value="600">快速</Select.Option>
|
||
</Select>
|
||
</Space>
|
||
<Space wrap>
|
||
<Button size="small" disabled={currentPlaybackIndex <= 0} onClick={() => movePlayback(-1)}>上一点</Button>
|
||
<Button size="small" disabled={currentPlaybackIndex >= playbackRows.length - 1} onClick={() => movePlayback(1)}>下一点</Button>
|
||
<Button size="small" disabled={!canOpenVehicle(currentPlayback.vin)} onClick={openPlaybackVehicle}>回放点车辆服务</Button>
|
||
</Space>
|
||
<input
|
||
className="vp-playback-range"
|
||
aria-label="轨迹回放进度"
|
||
type="range"
|
||
min={0}
|
||
max={Math.max(playbackRows.length - 1, 0)}
|
||
step={1}
|
||
value={currentPlaybackIndex}
|
||
onChange={(event) => selectPlaybackPoint(Number(event.currentTarget.value))}
|
||
/>
|
||
</>
|
||
) : (
|
||
<Typography.Text type="tertiary">暂无可回放位置点</Typography.Text>
|
||
)}
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div className="vp-playback-timeline">
|
||
{(validLocations.length > 0 ? validLocations : locationItems).slice(0, 8).map((row, index) => (
|
||
<button
|
||
key={`${row.deviceTime}-${index}`}
|
||
type="button"
|
||
className={`vp-playback-step ${index === currentPlaybackIndex ? 'vp-playback-step-active' : ''}`}
|
||
aria-label={`选择轨迹点 ${index + 1}`}
|
||
onClick={() => selectPlaybackPoint(index)}
|
||
>
|
||
<Tag color={index === 0 ? 'green' : index === Math.min((validLocations.length || locationItems.length), 8) - 1 ? 'orange' : 'blue'}>
|
||
{index === 0 ? '起点' : index === Math.min((validLocations.length || locationItems.length), 8) - 1 ? '终点' : `点 ${index + 1}`}
|
||
</Tag>
|
||
<div className="vp-evidence-value">{row.deviceTime || row.serverTime || '-'}</div>
|
||
<Typography.Text type="secondary">
|
||
{formatNumber(row.speedKmh, ' km/h')} / {formatNumber(row.totalMileageKm, ' km')}
|
||
</Typography.Text>
|
||
</button>
|
||
))}
|
||
{locationItems.length === 0 ? (
|
||
<Typography.Text type="secondary">当前筛选范围暂无轨迹点，请调整车辆、来源或时间范围。</Typography.Text>
|
||
) : null}
|
||
</div>
|
||
<Card bordered title="轨迹证据质量" style={{ marginTop: 12 }}>
|
||
<div className="vp-stat-insight-grid">
|
||
{[
|
||
{
|
||
label: '定位覆盖率',
|
||
value: formatPercent(trajectoryCoverageRate),
|
||
color: (trajectoryCoverageRate ?? 0) >= 80 ? 'green' as const : 'orange' as const,
|
||
detail: `${validLocations.length.toLocaleString()} / ${locationItems.length.toLocaleString()} 个点有有效坐标。`
|
||
},
|
||
{
|
||
label: '回放跨度',
|
||
value: formatDurationMinutes(playbackSpanMinutes),
|
||
color: isFiniteNumber(playbackSpanMinutes) ? 'blue' as const : 'grey' as const,
|
||
detail: '当前页首末轨迹点设备时间跨度。'
|
||
},
|
||
{
|
||
label: '采样间隔',
|
||
value: formatDurationMinutes(playbackIntervalMinutes, '/点'),
|
||
color: isFiniteNumber(playbackIntervalMinutes) && playbackIntervalMinutes <= 10 ? 'green' as const : 'orange' as const,
|
||
detail: '当前页估算的平均轨迹采样间隔。'
|
||
}
|
||
].map((item) => (
|
||
<Card key={item.label} bordered>
|
||
<Tag color={item.color}>{item.label}</Tag>
|
||
<div className="vp-monitor-metric-value">{item.value}</div>
|
||
<Typography.Text type="secondary">{item.detail}</Typography.Text>
|
||
</Card>
|
||
))}
|
||
</div>
|
||
</Card>
|
||
<Card bordered title="轨迹异常判读" style={{ marginTop: 12 }}>
|
||
<div className="vp-trajectory-anomaly-grid">
|
||
{[
|
||
{
|
||
label: '数据断点',
|
||
value: trajectoryAnomalies.gapCount > 0 ? `${trajectoryAnomalies.gapCount.toLocaleString()} 处` : '无',
|
||
detail: trajectoryAnomalies.gapCount > 0 ? `最大断点 ${formatDurationMinutes(trajectoryAnomalies.maxGapMinutes)}` : '相邻轨迹点未发现超过 30 分钟断点。',
|
||
color: trajectoryAnomalies.gapCount > 0 ? 'orange' as const : 'green' as const
|
||
},
|
||
{
|
||
label: '里程回退',
|
||
value: trajectoryAnomalies.mileageRollbackCount > 0 ? formatNumber(trajectoryAnomalies.maxMileageRollbackKm, ' km') : '无',
|
||
detail: trajectoryAnomalies.mileageRollbackCount > 0 ? `${trajectoryAnomalies.mileageRollbackCount.toLocaleString()} 处总里程低于上一点。` : '当前页总里程单调不回退。',
|
||
color: trajectoryAnomalies.mileageRollbackCount > 0 ? 'red' as const : 'green' as const
|
||
},
|
||
{
|
||
label: '速度异常',
|
||
value: trajectoryAnomalies.overspeedCount > 0 ? formatNumber(trajectoryAnomalies.maxSpeedKmh, ' km/h') : '无',
|
||
detail: trajectoryAnomalies.overspeedCount > 0 ? `${trajectoryAnomalies.overspeedCount.toLocaleString()} 个点超过 120 km/h。` : '当前页未发现超过 120 km/h 的速度点。',
|
||
color: trajectoryAnomalies.overspeedCount > 0 ? 'orange' as const : 'green' as const
|
||
}
|
||
].map((item) => (
|
||
<div key={item.label} className="vp-trajectory-anomaly-item">
|
||
<Tag color={item.color}>{item.label}</Tag>
|
||
<div className="vp-monitor-metric-value">{item.value}</div>
|
||
<Typography.Text type="secondary">{item.detail}</Typography.Text>
|
||
</div>
|
||
))}
|
||
</div>
|
||
<div className="vp-trajectory-anomaly-action">
|
||
<Tag color={hasTrajectoryAnomaly ? 'orange' : 'green'}>{hasTrajectoryAnomaly ? '建议核对 RAW 帧和当日里程统计' : '轨迹质量可用'}</Tag>
|
||
<Typography.Text type="secondary">
|
||
{hasTrajectoryAnomaly ? '异常点会影响轨迹回放、定位复盘和区间里程判断，请结合 RAW 解析字段与里程统计交叉确认。' : '当前页轨迹未发现明显断点、里程回退或速度异常。'}
|
||
</Typography.Text>
|
||
</div>
|
||
</Card>
|
||
<Space wrap style={{ marginTop: 12 }}>
|
||
<Tag color="grey">起点：{firstLocation?.deviceTime || firstLocation?.serverTime || '-'}</Tag>
|
||
<Tag color="grey">终点：{lastLocation?.deviceTime || lastLocation?.serverTime || '-'}</Tag>
|
||
<Tag color="grey">地图接入：高德 JS API 运行时配置</Tag>
|
||
</Space>
|
||
</Card>
|
||
<Card bordered style={{ marginTop: 16 }}>
|
||
<Tabs activeKey={activeTab} onChange={(key) => changeTab(String(key))}>
|
||
<Tabs.TabPane tab="位置历史" itemKey="location">
|
||
<div className="vp-table-toolbar">
|
||
<Space wrap>
|
||
<Tag color="blue">当前页 {locations.items.length.toLocaleString()} 条</Tag>
|
||
<Button size="small" onClick={exportLocations}>导出位置当前页 CSV</Button>
|
||
</Space>
|
||
</div>
|
||
<Table
|
||
rowKey="deviceTime"
|
||
dataSource={locations.items}
|
||
loading={loadingLocations}
|
||
pagination={{
|
||
currentPage: locationPagination.currentPage,
|
||
pageSize: locationPagination.pageSize,
|
||
total: locations.total,
|
||
showSizeChanger: true,
|
||
onPageChange: (page) => loadLocations(filters, page, locationPagination.pageSize),
|
||
onPageSizeChange: (pageSize) => loadLocations(filters, 1, pageSize)
|
||
}}
|
||
columns={[
|
||
{ title: 'VIN', dataIndex: 'vin', width: 190 },
|
||
{ title: '数据来源', dataIndex: 'protocol', width: 120 },
|
||
{ title: '经度', dataIndex: 'longitude', width: 120 },
|
||
{ title: '纬度', dataIndex: 'latitude', width: 120 },
|
||
{ title: '速度 km/h', dataIndex: 'speedKmh', width: 120 },
|
||
{ title: '总里程 km', dataIndex: 'totalMileageKm', width: 130 },
|
||
{ title: '设备时间', dataIndex: 'deviceTime', width: 190 },
|
||
{ title: '入库时间', dataIndex: 'serverTime', width: 190 },
|
||
{
|
||
title: '操作',
|
||
width: 280,
|
||
render: (_: unknown, row: HistoryLocationRow) => (
|
||
<Space wrap>
|
||
<Button disabled={!canOpenVehicle(row.vin)} onClick={() => onOpenVehicle(row.vin, row.protocol)}>车辆服务</Button>
|
||
<Button disabled={!canOpenVehicle(row.vin) || !onOpenMileage} onClick={() => openLocationMileage(row)}>核对里程</Button>
|
||
<Button disabled={!canOpenVehicle(row.vin) || !onOpenRaw} onClick={() => openLocationRaw(row)}>核对 RAW</Button>
|
||
</Space>
|
||
)
|
||
}
|
||
]}
|
||
/>
|
||
</Tabs.TabPane>
|
||
<Tabs.TabPane tab="RAW 帧" itemKey="raw">
|
||
<div className="vp-table-toolbar">
|
||
<Space wrap>
|
||
<Tag color="blue">当前页 {rawFrames.items.length.toLocaleString()} 条</Tag>
|
||
<Tag color={isIncludeFieldsEnabled(filters.includeFields) || splitFields(filters.fields).length > 0 ? 'green' : 'orange'}>
|
||
{isIncludeFieldsEnabled(filters.includeFields) || splitFields(filters.fields).length > 0 ? '包含解析字段' : '未请求解析字段'}
|
||
</Tag>
|
||
<Button size="small" onClick={exportRawFrames}>导出 RAW 当前页 CSV</Button>
|
||
</Space>
|
||
</div>
|
||
<Table
|
||
rowKey="id"
|
||
dataSource={rawFrames.items}
|
||
loading={loadingRaw}
|
||
pagination={{
|
||
currentPage: rawPagination.currentPage,
|
||
pageSize: rawPagination.pageSize,
|
||
total: rawFrames.total,
|
||
showSizeChanger: true,
|
||
onPageChange: (page) => loadRawFrames(filters, page, rawPagination.pageSize),
|
||
onPageSizeChange: (pageSize) => loadRawFrames(filters, 1, pageSize)
|
||
}}
|
||
columns={[
|
||
{ title: 'ID', dataIndex: 'id', width: 260 },
|
||
{ title: 'VIN', dataIndex: 'vin', width: 190 },
|
||
{ title: '车牌', dataIndex: 'plate', width: 120 },
|
||
{ title: '数据来源', dataIndex: 'protocol', width: 120 },
|
||
{ title: '帧类型', dataIndex: 'frameType', width: 190 },
|
||
{ title: '大小 B', dataIndex: 'rawSizeBytes', width: 100 },
|
||
{ title: '设备时间', dataIndex: 'deviceTime', width: 190 },
|
||
{ title: '入库时间', dataIndex: 'serverTime', width: 190 },
|
||
{
|
||
title: '操作',
|
||
width: 280,
|
||
render: (_: unknown, row: RawFrameRow) => (
|
||
<Space wrap>
|
||
<Button onClick={() => setSelectedRaw(row)}>字段</Button>
|
||
<Button disabled={!canOpenVehicle(row.vin) || !onOpenMileage} onClick={() => openRawMileage(row)}>核对里程</Button>
|
||
<Button disabled={!canOpenVehicle(row.vin)} onClick={() => onOpenVehicle(row.vin, row.protocol)}>车辆服务</Button>
|
||
</Space>
|
||
)
|
||
}
|
||
]}
|
||
/>
|
||
</Tabs.TabPane>
|
||
<Tabs.TabPane tab="解析字段" itemKey="fields">
|
||
<div className="vp-table-toolbar">
|
||
<Space wrap>
|
||
<Tag color="green">当前页 {rawFieldRows.length.toLocaleString()} 个字段</Tag>
|
||
<Tag color="blue">{rawFrames.items.length.toLocaleString()} 条 RAW 来源</Tag>
|
||
{selectedFieldCount > 0 ? <Tag color="blue">字段裁剪 {selectedFieldCount.toLocaleString()} 个</Tag> : <Tag color="grey">全量解析字段</Tag>}
|
||
<Button size="small" onClick={exportRawFields}>导出解析字段当前页 CSV</Button>
|
||
</Space>
|
||
</div>
|
||
<Table
|
||
rowKey="id"
|
||
dataSource={rawFieldRows}
|
||
loading={loadingRaw}
|
||
pagination={false}
|
||
columns={[
|
||
{ title: '字段', dataIndex: 'fieldPath', width: 320 },
|
||
{
|
||
title: '值',
|
||
width: 260,
|
||
render: (_: unknown, row: RawFieldRow) => (
|
||
<Typography.Text ellipsis={{ showTooltip: true }}>{formatFieldValue(row.fieldValue) || '-'}</Typography.Text>
|
||
)
|
||
},
|
||
{ title: 'VIN', dataIndex: 'vin', width: 190 },
|
||
{ title: '车牌', dataIndex: 'plate', width: 120 },
|
||
{ title: '数据来源', dataIndex: 'protocol', width: 120 },
|
||
{ title: '帧类型', dataIndex: 'frameType', width: 190 },
|
||
{ title: '设备时间', dataIndex: 'deviceTime', width: 190 },
|
||
{ title: 'RAW ID', dataIndex: 'rawId', width: 260 },
|
||
{
|
||
title: '操作',
|
||
width: 170,
|
||
render: (_: unknown, row: RawFieldRow) => (
|
||
<Space wrap>
|
||
<Button disabled={!canOpenVehicle(row.vin)} onClick={() => onOpenVehicle(row.vin, row.protocol)}>车辆服务</Button>
|
||
</Space>
|
||
)
|
||
}
|
||
]}
|
||
/>
|
||
<Space wrap style={{ marginTop: 12 }}>
|
||
<Tag color="grey">分页沿用 RAW 帧分页</Tag>
|
||
<Tag color="grey">字段来自 parsedFields，保留协议字段映射后的路径</Tag>
|
||
</Space>
|
||
</Tabs.TabPane>
|
||
</Tabs>
|
||
</Card>
|
||
<SideSheet title="RAW 解析字段" visible={Boolean(selectedRaw)} onCancel={() => setSelectedRaw(null)} width={720}>
|
||
<Space vertical align="start" spacing={12} style={{ width: '100%' }}>
|
||
<Typography.Text type="tertiary">
|
||
{selectedRaw?.protocol ?? '-'} / {selectedRaw?.plate || selectedRaw?.vin || '-'} / {rawFieldCount} 个字段
|
||
</Typography.Text>
|
||
{rawFieldCount === 0 ? (
|
||
<Typography.Text type="secondary">当前查询未返回解析字段，请勾选“返回解析字段”或配置字段裁剪后重新查询。</Typography.Text>
|
||
) : null}
|
||
</Space>
|
||
<pre className="vp-json">{JSON.stringify(selectedRaw?.parsedFields ?? {}, null, 2)}</pre>
|
||
</SideSheet>
|
||
</div>
|
||
);
|
||
}
|