mirror of
https://github.com/Wei-Shaw/claude-relay-service.git
synced 2026-01-23 09:38:02 +00:00
- 添加系统级分钟统计,支持1-60分钟可配置时间窗口 - 新增 getRealtimeSystemMetrics 方法计算滑动窗口内的平均值 - 前端显示实时RPM/TPM,标注时间窗口和数据来源 - 修复 EditApiKeyModal 中模型限制和客户端限制复选框状态错误 - 优化性能:使用Pipeline批量操作替代Promise.all - TPM包含所有token类型:input、output、cache_creation、cache_read - 添加降级方案:实时数据不可用时返回历史平均值 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
647 lines
24 KiB
JavaScript
647 lines
24 KiB
JavaScript
import { defineStore } from 'pinia'
|
||
import { ref, computed } from 'vue'
|
||
import { apiClient } from '@/config/api'
|
||
import { showToast } from '@/utils/toast'
|
||
|
||
export const useDashboardStore = defineStore('dashboard', () => {
|
||
// 状态
|
||
const loading = ref(false)
|
||
const dashboardData = ref({
|
||
totalApiKeys: 0,
|
||
activeApiKeys: 0,
|
||
totalAccounts: 0,
|
||
activeAccounts: 0,
|
||
rateLimitedAccounts: 0,
|
||
todayRequests: 0,
|
||
totalRequests: 0,
|
||
todayTokens: 0,
|
||
todayInputTokens: 0,
|
||
todayOutputTokens: 0,
|
||
totalTokens: 0,
|
||
totalInputTokens: 0,
|
||
totalOutputTokens: 0,
|
||
totalCacheCreateTokens: 0,
|
||
totalCacheReadTokens: 0,
|
||
todayCacheCreateTokens: 0,
|
||
todayCacheReadTokens: 0,
|
||
systemRPM: 0,
|
||
systemTPM: 0,
|
||
realtimeRPM: 0,
|
||
realtimeTPM: 0,
|
||
metricsWindow: 5,
|
||
isHistoricalMetrics: false,
|
||
systemStatus: '正常',
|
||
uptime: 0,
|
||
systemTimezone: 8 // 默认 UTC+8
|
||
})
|
||
|
||
const costsData = ref({
|
||
todayCosts: { totalCost: 0, formatted: { totalCost: '$0.000000' } },
|
||
totalCosts: { totalCost: 0, formatted: { totalCost: '$0.000000' } }
|
||
})
|
||
|
||
const modelStats = ref([])
|
||
const trendData = ref([])
|
||
const dashboardModelStats = ref([])
|
||
const apiKeysTrendData = ref({
|
||
data: [],
|
||
topApiKeys: [],
|
||
totalApiKeys: 0
|
||
})
|
||
|
||
// 日期筛选
|
||
const dateFilter = ref({
|
||
type: 'preset', // preset 或 custom
|
||
preset: '7days', // today, 7days, 30days
|
||
customStart: '',
|
||
customEnd: '',
|
||
customRange: null,
|
||
presetOptions: [
|
||
{ value: 'today', label: '今日', days: 1 },
|
||
{ value: '7days', label: '7天', days: 7 },
|
||
{ value: '30days', label: '30天', days: 30 }
|
||
]
|
||
})
|
||
|
||
// 趋势图粒度
|
||
const trendGranularity = ref('day') // 'day' 或 'hour'
|
||
const apiKeysTrendMetric = ref('requests') // 'requests' 或 'tokens'
|
||
|
||
// 默认时间
|
||
const defaultTime = ref([new Date(2000, 1, 1, 0, 0, 0), new Date(2000, 2, 1, 23, 59, 59)])
|
||
|
||
// 计算属性
|
||
const formattedUptime = computed(() => {
|
||
const seconds = dashboardData.value.uptime
|
||
const days = Math.floor(seconds / 86400)
|
||
const hours = Math.floor((seconds % 86400) / 3600)
|
||
const minutes = Math.floor((seconds % 3600) / 60)
|
||
|
||
if (days > 0) {
|
||
return `${days}天 ${hours}小时`
|
||
} else if (hours > 0) {
|
||
return `${hours}小时 ${minutes}分钟`
|
||
} else {
|
||
return `${minutes}分钟`
|
||
}
|
||
})
|
||
|
||
// 辅助函数:基于系统时区计算时间
|
||
function getDateInSystemTimezone(date = new Date()) {
|
||
const offset = dashboardData.value.systemTimezone || 8
|
||
// 将本地时间转换为UTC时间,然后加上系统时区偏移
|
||
const utcTime = date.getTime() + (date.getTimezoneOffset() * 60000)
|
||
return new Date(utcTime + (offset * 3600000))
|
||
}
|
||
|
||
// 辅助函数:获取系统时区某一天的起止UTC时间
|
||
// 输入:一个本地时间的日期对象(如用户选择的日期)
|
||
// 输出:该日期在系统时区的0点/23:59对应的UTC时间
|
||
function getSystemTimezoneDay(localDate, startOfDay = true) {
|
||
// 固定使用UTC+8,因为后端系统时区是UTC+8
|
||
const systemTz = 8
|
||
|
||
// 获取本地日期的年月日(这是用户想要查看的日期)
|
||
const year = localDate.getFullYear()
|
||
const month = localDate.getMonth()
|
||
const day = localDate.getDate()
|
||
|
||
if (startOfDay) {
|
||
// 系统时区(UTC+8)的 YYYY-MM-DD 00:00:00
|
||
// 对应的UTC时间是前一天的16:00
|
||
// 例如:UTC+8的2025-07-29 00:00:00 = UTC的2025-07-28 16:00:00
|
||
return new Date(Date.UTC(year, month, day - 1, 16, 0, 0, 0))
|
||
} else {
|
||
// 系统时区(UTC+8)的 YYYY-MM-DD 23:59:59
|
||
// 对应的UTC时间是当天的15:59:59
|
||
// 例如:UTC+8的2025-07-29 23:59:59 = UTC的2025-07-29 15:59:59
|
||
return new Date(Date.UTC(year, month, day, 15, 59, 59, 999))
|
||
}
|
||
}
|
||
|
||
// 方法
|
||
async function loadDashboardData() {
|
||
loading.value = true
|
||
try {
|
||
const [dashboardResponse, todayCostsResponse, totalCostsResponse] = await Promise.all([
|
||
apiClient.get('/admin/dashboard'),
|
||
apiClient.get('/admin/usage-costs?period=today'),
|
||
apiClient.get('/admin/usage-costs?period=all')
|
||
])
|
||
|
||
if (dashboardResponse.success) {
|
||
const overview = dashboardResponse.data.overview || {}
|
||
const recentActivity = dashboardResponse.data.recentActivity || {}
|
||
const systemAverages = dashboardResponse.data.systemAverages || {}
|
||
const realtimeMetrics = dashboardResponse.data.realtimeMetrics || {}
|
||
const systemHealth = dashboardResponse.data.systemHealth || {}
|
||
|
||
dashboardData.value = {
|
||
totalApiKeys: overview.totalApiKeys || 0,
|
||
activeApiKeys: overview.activeApiKeys || 0,
|
||
totalAccounts: overview.totalClaudeAccounts || 0,
|
||
activeAccounts: overview.activeClaudeAccounts || 0,
|
||
rateLimitedAccounts: overview.rateLimitedClaudeAccounts || 0,
|
||
todayRequests: recentActivity.requestsToday || 0,
|
||
totalRequests: overview.totalRequestsUsed || 0,
|
||
todayTokens: recentActivity.tokensToday || 0,
|
||
todayInputTokens: recentActivity.inputTokensToday || 0,
|
||
todayOutputTokens: recentActivity.outputTokensToday || 0,
|
||
totalTokens: overview.totalTokensUsed || 0,
|
||
totalInputTokens: overview.totalInputTokensUsed || 0,
|
||
totalOutputTokens: overview.totalOutputTokensUsed || 0,
|
||
totalCacheCreateTokens: overview.totalCacheCreateTokensUsed || 0,
|
||
totalCacheReadTokens: overview.totalCacheReadTokensUsed || 0,
|
||
todayCacheCreateTokens: recentActivity.cacheCreateTokensToday || 0,
|
||
todayCacheReadTokens: recentActivity.cacheReadTokensToday || 0,
|
||
systemRPM: systemAverages.rpm || 0,
|
||
systemTPM: systemAverages.tpm || 0,
|
||
realtimeRPM: realtimeMetrics.rpm || 0,
|
||
realtimeTPM: realtimeMetrics.tpm || 0,
|
||
metricsWindow: realtimeMetrics.windowMinutes || 5,
|
||
isHistoricalMetrics: realtimeMetrics.isHistorical || false,
|
||
systemStatus: systemHealth.redisConnected ? '正常' : '异常',
|
||
uptime: systemHealth.uptime || 0,
|
||
systemTimezone: dashboardResponse.data.systemTimezone || 8
|
||
}
|
||
}
|
||
|
||
// 更新费用数据
|
||
if (todayCostsResponse.success && totalCostsResponse.success) {
|
||
costsData.value = {
|
||
todayCosts: todayCostsResponse.data.totalCosts || { totalCost: 0, formatted: { totalCost: '$0.000000' } },
|
||
totalCosts: totalCostsResponse.data.totalCosts || { totalCost: 0, formatted: { totalCost: '$0.000000' } }
|
||
}
|
||
}
|
||
} catch (error) {
|
||
console.error('加载仪表板数据失败:', error)
|
||
} finally {
|
||
loading.value = false
|
||
}
|
||
}
|
||
|
||
async function loadUsageTrend(days = 7, granularity = 'day') {
|
||
try {
|
||
let url = '/admin/usage-trend?'
|
||
|
||
if (granularity === 'hour') {
|
||
// 小时粒度,计算时间范围
|
||
url += `granularity=hour`
|
||
|
||
if (dateFilter.value.customRange && dateFilter.value.customRange.length === 2) {
|
||
// 使用自定义时间范围 - 需要将系统时区时间转换为UTC
|
||
const convertToUTC = (systemTzTimeStr) => {
|
||
// 固定使用UTC+8,因为后端系统时区是UTC+8
|
||
const systemTz = 8
|
||
// 解析系统时区时间字符串
|
||
const [datePart, timePart] = systemTzTimeStr.split(' ')
|
||
const [year, month, day] = datePart.split('-').map(Number)
|
||
const [hours, minutes, seconds] = timePart.split(':').map(Number)
|
||
|
||
// 创建UTC时间,使其在系统时区显示为用户选择的时间
|
||
// 例如:用户选择 UTC+8 的 2025-07-25 00:00:00
|
||
// 对应的UTC时间是 2025-07-24 16:00:00
|
||
const utcDate = new Date(Date.UTC(year, month - 1, day, hours - systemTz, minutes, seconds))
|
||
return utcDate.toISOString()
|
||
}
|
||
|
||
url += `&startDate=${encodeURIComponent(convertToUTC(dateFilter.value.customRange[0]))}`
|
||
url += `&endDate=${encodeURIComponent(convertToUTC(dateFilter.value.customRange[1]))}`
|
||
} else {
|
||
// 使用预设计算时间范围,与loadApiKeysTrend保持一致
|
||
const now = new Date()
|
||
let startTime, endTime
|
||
|
||
if (dateFilter.value.type === 'preset') {
|
||
switch (dateFilter.value.preset) {
|
||
case 'last24h':
|
||
// 近24小时:从当前时间往前推24小时
|
||
endTime = new Date(now)
|
||
startTime = new Date(now.getTime() - 24 * 60 * 60 * 1000)
|
||
break
|
||
case 'yesterday':
|
||
// 昨天:基于系统时区的昨天
|
||
const yesterday = new Date()
|
||
yesterday.setDate(yesterday.getDate() - 1)
|
||
startTime = getSystemTimezoneDay(yesterday, true)
|
||
endTime = getSystemTimezoneDay(yesterday, false)
|
||
break
|
||
case 'dayBefore':
|
||
// 前天:基于系统时区的前天
|
||
const dayBefore = new Date()
|
||
dayBefore.setDate(dayBefore.getDate() - 2)
|
||
startTime = getSystemTimezoneDay(dayBefore, true)
|
||
endTime = getSystemTimezoneDay(dayBefore, false)
|
||
break
|
||
default:
|
||
// 默认近24小时
|
||
startTime = new Date(now.getTime() - 24 * 60 * 60 * 1000)
|
||
endTime = now
|
||
}
|
||
} else {
|
||
// 默认使用days参数计算
|
||
startTime = new Date(now.getTime() - days * 24 * 60 * 60 * 1000)
|
||
endTime = now
|
||
}
|
||
|
||
url += `&startDate=${encodeURIComponent(startTime.toISOString())}`
|
||
url += `&endDate=${encodeURIComponent(endTime.toISOString())}`
|
||
}
|
||
} else {
|
||
// 天粒度,传递天数
|
||
url += `granularity=day&days=${days}`
|
||
}
|
||
|
||
const response = await apiClient.get(url)
|
||
if (response.success) {
|
||
trendData.value = response.data
|
||
}
|
||
} catch (error) {
|
||
console.error('加载使用趋势失败:', error)
|
||
}
|
||
}
|
||
|
||
async function loadModelStats(period = 'daily') {
|
||
try {
|
||
const response = await apiClient.get(`/admin/model-stats?period=${period}`)
|
||
if (response.success) {
|
||
dashboardModelStats.value = response.data
|
||
}
|
||
} catch (error) {
|
||
console.error('加载模型统计失败:', error)
|
||
}
|
||
}
|
||
|
||
async function loadApiKeysTrend(metric = 'requests') {
|
||
try {
|
||
let url = '/admin/api-keys-usage-trend?'
|
||
let days = 7
|
||
|
||
if (trendGranularity.value === 'hour') {
|
||
// 小时粒度,计算时间范围
|
||
url += `granularity=hour`
|
||
|
||
if (dateFilter.value.customRange && dateFilter.value.customRange.length === 2) {
|
||
// 使用自定义时间范围 - 需要将系统时区时间转换为UTC
|
||
const convertToUTC = (systemTzTimeStr) => {
|
||
// 固定使用UTC+8,因为后端系统时区是UTC+8
|
||
const systemTz = 8
|
||
// 解析系统时区时间字符串
|
||
const [datePart, timePart] = systemTzTimeStr.split(' ')
|
||
const [year, month, day] = datePart.split('-').map(Number)
|
||
const [hours, minutes, seconds] = timePart.split(':').map(Number)
|
||
|
||
// 创建UTC时间,使其在系统时区显示为用户选择的时间
|
||
// 例如:用户选择 UTC+8 的 2025-07-25 00:00:00
|
||
// 对应的UTC时间是 2025-07-24 16:00:00
|
||
const utcDate = new Date(Date.UTC(year, month - 1, day, hours - systemTz, minutes, seconds))
|
||
return utcDate.toISOString()
|
||
}
|
||
|
||
url += `&startDate=${encodeURIComponent(convertToUTC(dateFilter.value.customRange[0]))}`
|
||
url += `&endDate=${encodeURIComponent(convertToUTC(dateFilter.value.customRange[1]))}`
|
||
} else {
|
||
// 使用预设计算时间范围,与setDateFilterPreset保持一致
|
||
const now = new Date()
|
||
let startTime, endTime
|
||
|
||
if (dateFilter.value.type === 'preset') {
|
||
switch (dateFilter.value.preset) {
|
||
case 'last24h':
|
||
// 近24小时:从当前时间往前推24小时
|
||
endTime = new Date(now)
|
||
startTime = new Date(now.getTime() - 24 * 60 * 60 * 1000)
|
||
break
|
||
case 'yesterday':
|
||
// 昨天:基于系统时区的昨天
|
||
const yesterday = new Date()
|
||
yesterday.setDate(yesterday.getDate() - 1)
|
||
startTime = getSystemTimezoneDay(yesterday, true)
|
||
endTime = getSystemTimezoneDay(yesterday, false)
|
||
break
|
||
case 'dayBefore':
|
||
// 前天:基于系统时区的前天
|
||
const dayBefore = new Date()
|
||
dayBefore.setDate(dayBefore.getDate() - 2)
|
||
startTime = getSystemTimezoneDay(dayBefore, true)
|
||
endTime = getSystemTimezoneDay(dayBefore, false)
|
||
break
|
||
default:
|
||
// 默认近24小时
|
||
startTime = new Date(now.getTime() - 24 * 60 * 60 * 1000)
|
||
endTime = now
|
||
}
|
||
} else {
|
||
// 默认近24小时
|
||
startTime = new Date(now.getTime() - 24 * 60 * 60 * 1000)
|
||
endTime = now
|
||
}
|
||
|
||
url += `&startDate=${encodeURIComponent(startTime.toISOString())}`
|
||
url += `&endDate=${encodeURIComponent(endTime.toISOString())}`
|
||
}
|
||
} else {
|
||
// 天粒度,传递天数
|
||
days = dateFilter.value.type === 'preset'
|
||
? (dateFilter.value.preset === 'today' ? 1 : dateFilter.value.preset === '7days' ? 7 : 30)
|
||
: calculateDaysBetween(dateFilter.value.customStart, dateFilter.value.customEnd)
|
||
url += `granularity=day&days=${days}`
|
||
}
|
||
|
||
url += `&metric=${metric}`
|
||
|
||
const response = await apiClient.get(url)
|
||
if (response.success) {
|
||
apiKeysTrendData.value = {
|
||
data: response.data || [],
|
||
topApiKeys: response.topApiKeys || [],
|
||
totalApiKeys: response.totalApiKeys || 0
|
||
}
|
||
}
|
||
} catch (error) {
|
||
console.error('加载API Keys趋势失败:', error)
|
||
}
|
||
}
|
||
|
||
// 日期筛选相关方法
|
||
function setDateFilterPreset(preset) {
|
||
dateFilter.value.type = 'preset'
|
||
dateFilter.value.preset = preset
|
||
|
||
// 根据预设计算并设置具体的日期范围
|
||
const option = dateFilter.value.presetOptions.find(opt => opt.value === preset)
|
||
if (option) {
|
||
const now = new Date()
|
||
let startDate, endDate
|
||
|
||
if (trendGranularity.value === 'hour') {
|
||
// 小时粒度的预设
|
||
switch (preset) {
|
||
case 'last24h':
|
||
// 近24小时:从当前时间往前推24小时
|
||
endDate = new Date(now)
|
||
startDate = new Date(now.getTime() - 24 * 60 * 60 * 1000)
|
||
break
|
||
case 'yesterday':
|
||
// 昨天:获取本地时间的昨天
|
||
const yesterday = new Date()
|
||
yesterday.setDate(yesterday.getDate() - 1)
|
||
// 转换为系统时区的昨天0点和23:59
|
||
startDate = getSystemTimezoneDay(yesterday, true)
|
||
endDate = getSystemTimezoneDay(yesterday, false)
|
||
break
|
||
case 'dayBefore':
|
||
// 前天:获取本地时间的前天
|
||
const dayBefore = new Date()
|
||
dayBefore.setDate(dayBefore.getDate() - 2)
|
||
// 转换为系统时区的前天0点和23:59
|
||
startDate = getSystemTimezoneDay(dayBefore, true)
|
||
endDate = getSystemTimezoneDay(dayBefore, false)
|
||
break
|
||
}
|
||
} else {
|
||
// 天粒度的预设
|
||
startDate = new Date(now)
|
||
endDate = new Date(now)
|
||
|
||
if (preset === 'today') {
|
||
// 今日:从凌晨开始
|
||
startDate.setHours(0, 0, 0, 0)
|
||
endDate.setHours(23, 59, 59, 999)
|
||
} else {
|
||
// 其他预设:按天数计算
|
||
startDate.setDate(now.getDate() - (option.days - 1))
|
||
startDate.setHours(0, 0, 0, 0)
|
||
endDate.setHours(23, 59, 59, 999)
|
||
}
|
||
}
|
||
|
||
dateFilter.value.customStart = startDate.toISOString().split('T')[0]
|
||
dateFilter.value.customEnd = endDate.toISOString().split('T')[0]
|
||
|
||
// 设置 customRange 为 Element Plus 需要的格式
|
||
// 对于小时粒度的昨天/前天,需要特殊处理显示
|
||
if (trendGranularity.value === 'hour' && (preset === 'yesterday' || preset === 'dayBefore')) {
|
||
// 获取本地日期
|
||
const targetDate = new Date()
|
||
if (preset === 'yesterday') {
|
||
targetDate.setDate(targetDate.getDate() - 1)
|
||
} else {
|
||
targetDate.setDate(targetDate.getDate() - 2)
|
||
}
|
||
|
||
// 显示系统时区的完整一天
|
||
const year = targetDate.getFullYear()
|
||
const month = String(targetDate.getMonth() + 1).padStart(2, '0')
|
||
const day = String(targetDate.getDate()).padStart(2, '0')
|
||
|
||
dateFilter.value.customRange = [
|
||
`${year}-${month}-${day} 00:00:00`,
|
||
`${year}-${month}-${day} 23:59:59`
|
||
]
|
||
} else {
|
||
// 其他情况:近24小时或天粒度
|
||
const formatDateForDisplay = (date) => {
|
||
// 固定使用UTC+8来显示时间
|
||
const systemTz = 8
|
||
const tzOffset = systemTz * 60 * 60 * 1000
|
||
const localTime = new Date(date.getTime() + tzOffset)
|
||
|
||
const year = localTime.getUTCFullYear()
|
||
const month = String(localTime.getUTCMonth() + 1).padStart(2, '0')
|
||
const day = String(localTime.getUTCDate()).padStart(2, '0')
|
||
const hours = String(localTime.getUTCHours()).padStart(2, '0')
|
||
const minutes = String(localTime.getUTCMinutes()).padStart(2, '0')
|
||
const seconds = String(localTime.getUTCSeconds()).padStart(2, '0')
|
||
return `${year}-${month}-${day} ${hours}:${minutes}:${seconds}`
|
||
}
|
||
|
||
dateFilter.value.customRange = [
|
||
formatDateForDisplay(startDate),
|
||
formatDateForDisplay(endDate)
|
||
]
|
||
}
|
||
}
|
||
|
||
// 触发数据刷新
|
||
refreshChartsData()
|
||
}
|
||
|
||
function onCustomDateRangeChange(value) {
|
||
if (value && value.length === 2) {
|
||
dateFilter.value.type = 'custom'
|
||
dateFilter.value.preset = '' // 清除预设选择
|
||
dateFilter.value.customRange = value
|
||
dateFilter.value.customStart = value[0].split(' ')[0]
|
||
dateFilter.value.customEnd = value[1].split(' ')[0]
|
||
|
||
// 检查日期范围限制 - value中的时间已经是系统时区时间
|
||
const systemTz = dashboardData.value.systemTimezone || 8
|
||
|
||
// 解析系统时区时间
|
||
const parseSystemTime = (timeStr) => {
|
||
const [datePart, timePart] = timeStr.split(' ')
|
||
const [year, month, day] = datePart.split('-').map(Number)
|
||
const [hours, minutes, seconds] = timePart.split(':').map(Number)
|
||
return new Date(year, month - 1, day, hours, minutes, seconds)
|
||
}
|
||
|
||
const start = parseSystemTime(value[0])
|
||
const end = parseSystemTime(value[1])
|
||
|
||
if (trendGranularity.value === 'hour') {
|
||
// 小时粒度:限制 24 小时
|
||
const hoursDiff = (end - start) / (1000 * 60 * 60)
|
||
if (hoursDiff > 24) {
|
||
showToast('小时粒度下日期范围不能超过24小时', 'warning')
|
||
return
|
||
}
|
||
} else {
|
||
// 天粒度:限制 31 天
|
||
const daysDiff = Math.ceil((end - start) / (1000 * 60 * 60 * 24)) + 1
|
||
if (daysDiff > 31) {
|
||
showToast('日期范围不能超过 31 天', 'warning')
|
||
return
|
||
}
|
||
}
|
||
|
||
// 触发数据刷新
|
||
refreshChartsData()
|
||
} else if (value === null) {
|
||
// 清空时恢复默认
|
||
setDateFilterPreset(trendGranularity.value === 'hour' ? 'last24h' : '7days')
|
||
}
|
||
}
|
||
|
||
function setTrendGranularity(granularity) {
|
||
trendGranularity.value = granularity
|
||
|
||
// 根据粒度更新预设选项
|
||
if (granularity === 'hour') {
|
||
dateFilter.value.presetOptions = [
|
||
{ value: 'last24h', label: '近24小时', hours: 24 },
|
||
{ value: 'yesterday', label: '昨天', hours: 24 },
|
||
{ value: 'dayBefore', label: '前天', hours: 24 }
|
||
]
|
||
|
||
// 检查当前自定义日期范围是否超过24小时
|
||
if (dateFilter.value.type === 'custom' && dateFilter.value.customRange && dateFilter.value.customRange.length === 2) {
|
||
const start = new Date(dateFilter.value.customRange[0])
|
||
const end = new Date(dateFilter.value.customRange[1])
|
||
const hoursDiff = (end - start) / (1000 * 60 * 60)
|
||
if (hoursDiff > 24) {
|
||
showToast('小时粒度下日期范围不能超过24小时,已切换到近24小时', 'warning')
|
||
setDateFilterPreset('last24h')
|
||
return
|
||
}
|
||
}
|
||
|
||
// 如果当前是天粒度的预设,切换到小时粒度的默认预设
|
||
if (['today', '7days', '30days'].includes(dateFilter.value.preset)) {
|
||
setDateFilterPreset('last24h')
|
||
return
|
||
}
|
||
} else {
|
||
// 天粒度
|
||
dateFilter.value.presetOptions = [
|
||
{ value: 'today', label: '今日', days: 1 },
|
||
{ value: '7days', label: '7天', days: 7 },
|
||
{ value: '30days', label: '30天', days: 30 }
|
||
]
|
||
|
||
// 如果当前是小时粒度的预设,切换到天粒度的默认预设
|
||
if (['last24h', 'yesterday', 'dayBefore'].includes(dateFilter.value.preset)) {
|
||
setDateFilterPreset('7days')
|
||
return
|
||
}
|
||
}
|
||
|
||
// 触发数据刷新
|
||
refreshChartsData()
|
||
}
|
||
|
||
async function refreshChartsData() {
|
||
// 根据当前筛选条件刷新数据
|
||
let days
|
||
let modelPeriod = 'monthly'
|
||
|
||
if (dateFilter.value.type === 'preset') {
|
||
const option = dateFilter.value.presetOptions.find(opt => opt.value === dateFilter.value.preset)
|
||
|
||
if (trendGranularity.value === 'hour') {
|
||
// 小时粒度
|
||
days = 1 // 小时粒度默认查看1天的数据
|
||
modelPeriod = 'daily' // 小时粒度使用日统计
|
||
} else {
|
||
// 天粒度
|
||
days = option ? option.days : 7
|
||
// 设置模型统计期间
|
||
if (dateFilter.value.preset === 'today') {
|
||
modelPeriod = 'daily'
|
||
} else {
|
||
modelPeriod = 'monthly'
|
||
}
|
||
}
|
||
} else {
|
||
// 自定义日期范围
|
||
if (trendGranularity.value === 'hour') {
|
||
// 小时粒度下的自定义范围,计算小时数
|
||
const start = new Date(dateFilter.value.customRange[0])
|
||
const end = new Date(dateFilter.value.customRange[1])
|
||
const hoursDiff = Math.ceil((end - start) / (1000 * 60 * 60))
|
||
days = Math.ceil(hoursDiff / 24) || 1
|
||
} else {
|
||
days = calculateDaysBetween(dateFilter.value.customStart, dateFilter.value.customEnd)
|
||
}
|
||
modelPeriod = 'daily' // 自定义范围使用日统计
|
||
}
|
||
|
||
await Promise.all([
|
||
loadUsageTrend(days, trendGranularity.value),
|
||
loadModelStats(modelPeriod),
|
||
loadApiKeysTrend(apiKeysTrendMetric.value)
|
||
])
|
||
}
|
||
|
||
function calculateDaysBetween(start, end) {
|
||
if (!start || !end) return 7
|
||
const startDate = new Date(start)
|
||
const endDate = new Date(end)
|
||
const diffTime = Math.abs(endDate - startDate)
|
||
const diffDays = Math.ceil(diffTime / (1000 * 60 * 60 * 24))
|
||
return diffDays || 7
|
||
}
|
||
|
||
function disabledDate(date) {
|
||
return date > new Date()
|
||
}
|
||
|
||
return {
|
||
// 状态
|
||
loading,
|
||
dashboardData,
|
||
costsData,
|
||
modelStats,
|
||
trendData,
|
||
dashboardModelStats,
|
||
apiKeysTrendData,
|
||
dateFilter,
|
||
trendGranularity,
|
||
apiKeysTrendMetric,
|
||
defaultTime,
|
||
|
||
// 计算属性
|
||
formattedUptime,
|
||
|
||
// 方法
|
||
loadDashboardData,
|
||
loadUsageTrend,
|
||
loadModelStats,
|
||
loadApiKeysTrend,
|
||
setDateFilterPreset,
|
||
onCustomDateRangeChange,
|
||
setTrendGranularity,
|
||
refreshChartsData,
|
||
disabledDate
|
||
}
|
||
}) |