feat: 优化状态监视器,重构为单例模式
This commit is contained in:
@@ -40,9 +40,11 @@
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</template>
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<script setup lang="ts">
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import { ref, watch, onMounted, computed } from 'vue';
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import { ref, watch, onMounted, computed, type PropType } from 'vue'; // 添加 PropType
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import { useI18n } from 'vue-i18n';
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import { Line } from 'vue-chartjs';
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import { useSessionStore } from '../stores/session.store'; // 注入 sessionStore
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import { storeToRefs } from 'pinia'; // 导入 storeToRefs
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import {
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Chart as ChartJS,
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Title,
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@@ -78,15 +80,24 @@ interface ServerStatusData {
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// ... other properties if needed
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}
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const props = defineProps<{
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serverStatus: ServerStatusData | null;
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}>();
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const props = defineProps({
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serverStatus: { // Keep serverStatus for current values and Y-axis scaling logic
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type: Object as PropType<ServerStatusData | null>,
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required: true,
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},
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activeSessionId: {
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type: String as PropType<string | null>,
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required: true,
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},
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});
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const MAX_DATA_POINTS = 60;
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const KB_TO_MB_THRESHOLD = 1024; // For network
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const MB_TO_GB_THRESHOLD = 1024; // For memory
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const { t } = useI18n();
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const sessionStore = useSessionStore();
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const { sessions } = storeToRefs(sessionStore); // 获取响应式的 sessions
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const cpuChartKey = ref(0);
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const memoryChartKey = ref(0);
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@@ -101,62 +112,130 @@ const memoryUnitIsGB = ref(false);
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const initialLabels = Array.from({ length: MAX_DATA_POINTS }, (_, i) => `-${(MAX_DATA_POINTS - 1 - i)}s`);
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const cpuChartData = ref({
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labels: [...initialLabels],
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// --- 计算属性:从 Store 获取当前会话的历史数据 ---
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const currentSessionStatusManager = computed(() => {
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return props.activeSessionId ? sessions.value.get(props.activeSessionId)?.statusMonitorManager : null;
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});
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const currentCpuHistory = computed(() => {
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return currentSessionStatusManager.value?.cpuHistory.value ?? Array(MAX_DATA_POINTS).fill(null);
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});
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const currentMemUsedHistory = computed(() => {
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// 返回 MB 为单位的历史数据
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return currentSessionStatusManager.value?.memUsedHistory.value ?? Array(MAX_DATA_POINTS).fill(null);
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});
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const currentNetRxHistory = computed(() => {
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// 返回 Bytes/sec 为单位的历史数据
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return currentSessionStatusManager.value?.netRxHistory.value ?? Array(MAX_DATA_POINTS).fill(null);
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});
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const currentNetTxHistory = computed(() => {
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// 返回 Bytes/sec 为单位的历史数据
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return currentSessionStatusManager.value?.netTxHistory.value ?? Array(MAX_DATA_POINTS).fill(null);
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});
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// --- 图表数据结构,现在 data 指向 computed 属性 ---
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const cpuChartData = computed(() => ({
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labels: initialLabels, // 标签保持不变
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datasets: [
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{
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label: computed(() => t('statusMonitor.cpuUsageLabel')),
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label: t('statusMonitor.cpuUsageLabel'),
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backgroundColor: 'rgba(54, 162, 235, 0.2)',
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borderColor: 'rgba(54, 162, 235, 1)',
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borderWidth: 1,
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data: Array(MAX_DATA_POINTS).fill(0),
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data: currentCpuHistory.value.map(v => v ?? 0), // 将 null 映射为 0 用于图表
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tension: 0.1,
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pointRadius: 0,
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pointHoverRadius: 5,
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},
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],
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}));
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// 动态计算内存图表数据(转换单位)
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const memoryChartData = computed(() => {
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const historyMB = currentMemUsedHistory.value;
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let displayData: (number | null)[];
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// 检查是否需要转换为 GB (基于当前值或历史峰值)
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const currentTotalMB = props.serverStatus?.memTotal ?? 0;
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const historyPeakMB = Math.max(...historyMB.filter((v): v is number => v !== null), 0);
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const requiresGB = currentTotalMB >= MB_TO_GB_THRESHOLD || historyPeakMB >= MB_TO_GB_THRESHOLD;
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memoryUnitIsGB.value = requiresGB; // 更新单位标志
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if (requiresGB) {
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displayData = historyMB.map(mb => mb === null ? null : parseFloat((mb / MB_TO_GB_THRESHOLD).toFixed(1)));
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} else {
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displayData = historyMB.map(mb => mb === null ? null : parseFloat(mb.toFixed(1)));
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}
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return {
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labels: initialLabels,
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datasets: [
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{
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label: t('statusMonitor.memoryUsageLabelUnit', { unit: requiresGB ? 'GB' : 'MB' }),
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backgroundColor: 'rgba(255, 99, 132, 0.2)',
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borderColor: 'rgba(255, 99, 132, 1)',
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borderWidth: 1,
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data: displayData.map(v => v ?? 0), // 将 null 映射为 0
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tension: 0.1,
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pointRadius: 0,
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pointHoverRadius: 5,
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},
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],
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};
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});
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const memoryChartData = ref({
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labels: [...initialLabels],
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datasets: [
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{
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label: computed(() => t('statusMonitor.memoryUsageLabelUnit', { unit: memoryUnitIsGB.value ? 'GB' : 'MB' })),
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backgroundColor: 'rgba(255, 99, 132, 0.2)',
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borderColor: 'rgba(255, 99, 132, 1)',
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borderWidth: 1,
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data: Array(MAX_DATA_POINTS).fill(0),
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tension: 0.1,
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pointRadius: 0,
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pointHoverRadius: 5,
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},
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],
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});
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const networkChartData = ref({
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labels: [...initialLabels],
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datasets: [
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{
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label: computed(() => t('statusMonitor.networkDownloadLabelUnit', { unit: networkRateUnitIsMB.value ? 'MB/s' : 'KB/s' })),
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backgroundColor: 'rgba(75, 192, 192, 0.2)',
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borderColor: 'rgba(75, 192, 192, 1)',
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borderWidth: 1,
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data: Array(MAX_DATA_POINTS).fill(0),
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tension: 0.1,
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pointRadius: 0,
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pointHoverRadius: 5,
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},
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{
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label: computed(() => t('statusMonitor.networkUploadLabelUnit', { unit: networkRateUnitIsMB.value ? 'MB/s' : 'KB/s' })),
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backgroundColor: 'rgba(255, 159, 64, 0.2)',
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borderColor: 'rgba(255, 159, 64, 1)',
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borderWidth: 1,
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data: Array(MAX_DATA_POINTS).fill(0),
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tension: 0.1,
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pointRadius: 0,
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pointHoverRadius: 5,
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},
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],
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// 动态计算网络图表数据(转换单位)
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const networkChartData = computed(() => {
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const historyRxBps = currentNetRxHistory.value;
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const historyTxBps = currentNetTxHistory.value;
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let displayRxData: (number | null)[];
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let displayTxData: (number | null)[];
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// 检查是否需要转换为 MB/s (基于当前值或历史峰值)
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const currentRxKB = (props.serverStatus?.netRxRate ?? 0) / 1024;
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const currentTxKB = (props.serverStatus?.netTxRate ?? 0) / 1024;
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const historyPeakRxKB = Math.max(...historyRxBps.filter((v): v is number => v !== null).map(bps => bps / 1024), 0);
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const historyPeakTxKB = Math.max(...historyTxBps.filter((v): v is number => v !== null).map(bps => bps / 1024), 0);
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const requiresMB = currentRxKB >= KB_TO_MB_THRESHOLD || currentTxKB >= KB_TO_MB_THRESHOLD ||
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historyPeakRxKB >= KB_TO_MB_THRESHOLD || historyPeakTxKB >= KB_TO_MB_THRESHOLD;
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networkRateUnitIsMB.value = requiresMB; // 更新单位标志
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const divisor = requiresMB ? (1024 * 1024) : 1024;
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const precision = requiresMB ? 2 : 1;
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displayRxData = historyRxBps.map(bps => bps === null ? null : parseFloat((bps / divisor).toFixed(precision)));
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displayTxData = historyTxBps.map(bps => bps === null ? null : parseFloat((bps / divisor).toFixed(precision)));
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return {
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labels: initialLabels,
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datasets: [
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{
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label: t('statusMonitor.networkDownloadLabelUnit', { unit: requiresMB ? 'MB/s' : 'KB/s' }),
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backgroundColor: 'rgba(75, 192, 192, 0.2)',
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borderColor: 'rgba(75, 192, 192, 1)',
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borderWidth: 1,
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data: displayRxData.map(v => v ?? 0), // 将 null 映射为 0
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tension: 0.1,
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pointRadius: 0,
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pointHoverRadius: 5,
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},
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{
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label: t('statusMonitor.networkUploadLabelUnit', { unit: requiresMB ? 'MB/s' : 'KB/s' }),
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backgroundColor: 'rgba(255, 159, 64, 0.2)',
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borderColor: 'rgba(255, 159, 64, 1)',
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borderWidth: 1,
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data: displayTxData.map(v => v ?? 0), // 将 null 映射为 0
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tension: 0.1,
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pointRadius: 0,
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pointHoverRadius: 5,
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},
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],
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};
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});
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const baseChartOptions: Omit<ChartOptions<'line'>, 'scales'> = {
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@@ -280,174 +359,96 @@ const networkChartOptions = ref<ChartOptions<'line'>>({
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});
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const updateCharts = (newStatus: ServerStatusData | null) => {
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if (!newStatus) return;
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// --- 函数:动态更新 Y 轴范围和单位(基于当前 serverStatus 和 store 中的历史数据) ---
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const updateAxisAndUnits = () => {
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// 内存 Y 轴和单位
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if (props.serverStatus && memoryChartOptions.value.scales?.y) {
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const historyMB = currentMemUsedHistory.value;
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const memTotal = props.serverStatus.memTotal ?? 0;
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const requiresGB = memoryUnitIsGB.value; // memoryChartData computed prop already sets this
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// Update CPU Chart
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if (typeof newStatus.cpuPercent === 'number') {
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const newCpuData = [...cpuChartData.value.datasets[0].data];
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newCpuData.shift();
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newCpuData.push(parseFloat(newStatus.cpuPercent.toFixed(1)));
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cpuChartData.value = { ...cpuChartData.value, datasets: [{ ...cpuChartData.value.datasets[0], data: newCpuData }] };
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}
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let yAxisTopValue = requiresGB
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? parseFloat((memTotal / MB_TO_GB_THRESHOLD).toFixed(1))
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: parseFloat(memTotal.toFixed(1));
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// Update Memory Chart
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if (typeof newStatus.memUsed === 'number' && typeof newStatus.memTotal === 'number') {
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let currentMemUsed = newStatus.memUsed; // MB
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const memTotal = newStatus.memTotal; // MB
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let currentData = [...memoryChartData.value.datasets[0].data];
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if (!memoryUnitIsGB.value && (memTotal >= MB_TO_GB_THRESHOLD || currentMemUsed >= MB_TO_GB_THRESHOLD)) {
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memoryUnitIsGB.value = true;
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currentData = currentData.map(d => parseFloat((d / MB_TO_GB_THRESHOLD).toFixed(1)));
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memoryChartKey.value++; // Force re-render
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} else if (memoryUnitIsGB.value && memTotal < MB_TO_GB_THRESHOLD && currentMemUsed < MB_TO_GB_THRESHOLD) {
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// This case is less likely if total is large, but handles potential fluctuations or incorrect initial state
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memoryUnitIsGB.value = false;
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currentData = currentData.map(d => parseFloat((d * MB_TO_GB_THRESHOLD).toFixed(1)));
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memoryChartKey.value++;
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}
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let newMemValue;
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if (memoryUnitIsGB.value) {
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newMemValue = parseFloat((currentMemUsed / MB_TO_GB_THRESHOLD).toFixed(1));
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} else {
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newMemValue = parseFloat(currentMemUsed.toFixed(1));
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}
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currentData.shift();
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currentData.push(newMemValue);
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memoryChartData.value = { ...memoryChartData.value, datasets: [{ ...memoryChartData.value.datasets[0], data: currentData }] };
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if (memoryChartOptions.value.scales?.y && typeof memTotal === 'number') {
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let yAxisTopValue = memoryUnitIsGB.value
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? parseFloat((memTotal / MB_TO_GB_THRESHOLD).toFixed(1))
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: parseFloat(memTotal.toFixed(1));
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// Ensure the yAxisTopValue is at least slightly larger than the max data point if data exceeds total.
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// Also, handle cases where memTotal might be 0 or very small.
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const currentMaxDataPoint = Math.max(...currentData, 0);
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// The y-axis max should primarily be driven by memTotal.
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// If current data somehow exceeds memTotal (which shouldn't happen for 'used' vs 'total'),
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// then the axis should expand. Otherwise, stick to memTotal.
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const currentMaxDataPoint = Math.max(...historyMB.filter((v): v is number => v !== null).map(mb => requiresGB ? mb / MB_TO_GB_THRESHOLD : mb), 0);
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yAxisTopValue = Math.max(yAxisTopValue, currentMaxDataPoint);
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// If memTotal is 0 (and thus yAxisTopValue is 0 after parseFloat), set a small default max.
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if (yAxisTopValue === 0) {
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yAxisTopValue = memoryUnitIsGB.value ? 1 : 100; // Default small max if total is 0
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yAxisTopValue = requiresGB ? 1 : 100;
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} else {
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// Add a very tiny buffer if yAxisTopValue is not 0, to ensure the top line is visible if data hits the max.
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// This helps if Chart.js clips data exactly at the 'max'.
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// For example, if max is 8.0GB, a data point of 8.0GB might be at the very edge.
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// A small increment ensures it's clearly within the chart area.
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const epsilon = memoryUnitIsGB.value ? 0.01 : 1;
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yAxisTopValue += epsilon;
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// Re-round after adding epsilon to maintain clean ticks if possible
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if (memoryUnitIsGB.value) {
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yAxisTopValue = Math.ceil(yAxisTopValue * 100) / 100; // Round to 2 decimal places for GB after epsilon
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} else {
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yAxisTopValue = Math.ceil(yAxisTopValue); // Round to next integer for MB after epsilon
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}
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const epsilon = requiresGB ? 0.01 : 1;
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yAxisTopValue += epsilon;
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yAxisTopValue = requiresGB ? Math.ceil(yAxisTopValue * 100) / 100 : Math.ceil(yAxisTopValue);
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}
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if (memoryChartOptions.value.scales.y.max !== yAxisTopValue) {
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memoryChartOptions.value.scales.y.max = yAxisTopValue;
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memoryChartKey.value++; // 强制重绘以应用新的 max
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}
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memoryChartOptions.value.scales.y.max = yAxisTopValue;
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}
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}
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// 网络 Y 轴和单位
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if (props.serverStatus && networkChartOptions.value.scales?.y) {
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const historyRxBps = currentNetRxHistory.value;
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const historyTxBps = currentNetTxHistory.value;
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const requiresMB = networkRateUnitIsMB.value; // networkChartData computed prop already sets this
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const divisor = requiresMB ? (1024 * 1024) : 1024;
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// Update Network Chart
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let currentNetRxRateKB = (newStatus.netRxRate || 0) / 1024;
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let currentNetTxRateKB = (newStatus.netTxRate || 0) / 1024;
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let newNetRxData = [...networkChartData.value.datasets[0].data];
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let newNetTxData = [...networkChartData.value.datasets[1].data];
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const allNetworkData = [
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...historyRxBps.filter((v): v is number => v !== null).map(bps => bps / divisor),
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...historyTxBps.filter((v): v is number => v !== null).map(bps => bps / divisor)
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];
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const currentMaxDataPoint = Math.max(...allNetworkData, 0);
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if (!networkRateUnitIsMB.value && (currentNetRxRateKB >= KB_TO_MB_THRESHOLD || currentNetTxRateKB >= KB_TO_MB_THRESHOLD)) {
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networkRateUnitIsMB.value = true;
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newNetRxData = newNetRxData.map(d => parseFloat((d / KB_TO_MB_THRESHOLD).toFixed(2)));
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newNetTxData = newNetTxData.map(d => parseFloat((d / KB_TO_MB_THRESHOLD).toFixed(2)));
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networkChartKey.value++;
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}
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let newRxValue, newTxValue;
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if (networkRateUnitIsMB.value) {
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newRxValue = parseFloat((currentNetRxRateKB / KB_TO_MB_THRESHOLD).toFixed(2));
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newTxValue = parseFloat((currentNetTxRateKB / KB_TO_MB_THRESHOLD).toFixed(2));
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} else {
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newRxValue = parseFloat(currentNetRxRateKB.toFixed(1));
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newTxValue = parseFloat(currentNetTxRateKB.toFixed(1));
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}
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newNetRxData.shift();
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newNetRxData.push(newRxValue);
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newNetTxData.shift();
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newNetTxData.push(newTxValue);
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networkChartData.value = {
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...networkChartData.value,
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datasets: [
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{ ...networkChartData.value.datasets[0], data: newNetRxData },
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{ ...networkChartData.value.datasets[1], data: newNetTxData },
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],
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};
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if (networkChartOptions.value.scales?.y) {
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const allNetworkData = [...newNetRxData, ...newNetTxData];
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const currentMaxDataPoint = Math.max(...allNetworkData, 0);
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let suggestedMax;
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const baseMultiplier = 1.2; // 20% buffer
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if (currentMaxDataPoint === 0) {
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// If no data or all data is zero, set a default max based on unit
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suggestedMax = networkRateUnitIsMB.value ? 5 : 500; // Default 5MB/s or 500KB/s
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} else {
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suggestedMax = currentMaxDataPoint * baseMultiplier;
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}
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// Determine a sensible minimum for the y-axis max based on the unit
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// This prevents the y-axis from being too small if data values are tiny (e.g., 0.01 MB/s)
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const absoluteMinMax = networkRateUnitIsMB.value ? 1 : 100; // Min 1MB/s or 100KB/s
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// Ensure suggestedMax is at least the absoluteMinMax
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suggestedMax = Math.max(suggestedMax, absoluteMinMax);
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// Round up to the next sensible integer for MB/s or a larger step for KB/s for cleaner ticks
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if (networkRateUnitIsMB.value) {
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suggestedMax = Math.ceil(suggestedMax); // Round up to the next whole number for MB/s
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} else {
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// For KB/s, round up to the nearest 50 or 100 for cleaner ticks
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if (suggestedMax <= 100) { // if max is very low (e.g. 10KB/s), round to 10s or 20s
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suggestedMax = Math.ceil(suggestedMax / 10) * 10;
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if (suggestedMax === 0 && currentMaxDataPoint > 0) suggestedMax = 10; // ensure at least 10 if there's data
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} else if (suggestedMax <= 500) {
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suggestedMax = Math.ceil(suggestedMax / 50) * 50; // Round to nearest 50 if under 500KB/s
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let suggestedMax;
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const baseMultiplier = 1.2;
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if (currentMaxDataPoint === 0) {
|
||||
suggestedMax = requiresMB ? 5 : 500;
|
||||
} else {
|
||||
suggestedMax = Math.ceil(suggestedMax / 100) * 100; // Round to nearest 100 if over 500KB/s
|
||||
suggestedMax = currentMaxDataPoint * baseMultiplier;
|
||||
}
|
||||
}
|
||||
|
||||
// Final safety check: if there was some data, max should not be zero.
|
||||
if (currentMaxDataPoint > 0 && suggestedMax === 0) {
|
||||
suggestedMax = networkRateUnitIsMB.value ? 1 : (allNetworkData.some(d => d > 0 && d < 10) ? 10 : 100) ;
|
||||
}
|
||||
|
||||
// If all data points are zero, ensure a minimum default axis.
|
||||
if (currentMaxDataPoint === 0 && suggestedMax === 0) {
|
||||
suggestedMax = networkRateUnitIsMB.value ? 1 : 100;
|
||||
}
|
||||
|
||||
if (networkChartOptions.value.scales.y.max !== suggestedMax) {
|
||||
networkChartOptions.value.scales.y.max = suggestedMax;
|
||||
networkChartKey.value++; // Force re-render if max value changed
|
||||
}
|
||||
const absoluteMinMax = requiresMB ? 1 : 100;
|
||||
suggestedMax = Math.max(suggestedMax, absoluteMinMax);
|
||||
|
||||
if (requiresMB) {
|
||||
suggestedMax = Math.ceil(suggestedMax);
|
||||
} else {
|
||||
if (suggestedMax <= 100) {
|
||||
suggestedMax = Math.ceil(suggestedMax / 10) * 10;
|
||||
if (suggestedMax === 0 && currentMaxDataPoint > 0) suggestedMax = 10;
|
||||
} else if (suggestedMax <= 500) {
|
||||
suggestedMax = Math.ceil(suggestedMax / 50) * 50;
|
||||
} else {
|
||||
suggestedMax = Math.ceil(suggestedMax / 100) * 100;
|
||||
}
|
||||
}
|
||||
|
||||
if (currentMaxDataPoint > 0 && suggestedMax === 0) {
|
||||
suggestedMax = requiresMB ? 1 : (allNetworkData.some(d => d > 0 && d < 10 / divisor) ? 10 : 100);
|
||||
}
|
||||
if (currentMaxDataPoint === 0 && suggestedMax === 0) {
|
||||
suggestedMax = requiresMB ? 1 : 100;
|
||||
}
|
||||
|
||||
if (networkChartOptions.value.scales.y.max !== suggestedMax) {
|
||||
networkChartOptions.value.scales.y.max = suggestedMax;
|
||||
networkChartKey.value++; // 强制重绘以应用新的 max
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
watch(() => props.serverStatus, (newStatus) => {
|
||||
updateCharts(newStatus);
|
||||
}, { deep: true, immediate: true });
|
||||
// --- 监听 props.serverStatus 的变化,仅用于更新 Y 轴范围和单位 ---
|
||||
// 数据本身由 computed 属性从 store 获取
|
||||
watch(() => props.serverStatus, () => {
|
||||
updateAxisAndUnits();
|
||||
}, { deep: true, immediate: true }); // immediate: true 确保初始加载时设置好轴
|
||||
|
||||
// 移除监听 activeSessionId 的 watcher 和 resetChartData 函数
|
||||
|
||||
onMounted(() => {
|
||||
// Initial setup handled by watch immediate
|
||||
// 初始轴和单位设置由 watch immediate 处理
|
||||
});
|
||||
|
||||
</script>
|
||||
Reference in New Issue
Block a user