Merge remote-tracking branch 'f3n9/main' into um-5

This commit is contained in:
Feng Yue
2025-08-31 23:12:46 +08:00
27 changed files with 2515 additions and 271 deletions

View File

@@ -29,6 +29,25 @@ function getHourInTimezone(date = new Date()) {
return tzDate.getUTCHours()
}
// 获取配置时区的 ISO 周YYYY-Wxx 格式,周一到周日)
function getWeekStringInTimezone(date = new Date()) {
const tzDate = getDateInTimezone(date)
// 获取年份
const year = tzDate.getUTCFullYear()
// 计算 ISO 周数(周一为第一天)
const dateObj = new Date(tzDate)
const dayOfWeek = dateObj.getUTCDay() || 7 // 将周日(0)转换为7
const firstThursday = new Date(dateObj)
firstThursday.setUTCDate(dateObj.getUTCDate() + 4 - dayOfWeek) // 找到这周的周四
const yearStart = new Date(firstThursday.getUTCFullYear(), 0, 1)
const weekNumber = Math.ceil(((firstThursday - yearStart) / 86400000 + 1) / 7)
return `${year}-W${String(weekNumber).padStart(2, '0')}`
}
class RedisClient {
constructor() {
this.client = null
@@ -193,7 +212,8 @@ class RedisClient {
cacheReadTokens = 0,
model = 'unknown',
ephemeral5mTokens = 0, // 新增5分钟缓存 tokens
ephemeral1hTokens = 0 // 新增1小时缓存 tokens
ephemeral1hTokens = 0, // 新增1小时缓存 tokens
isLongContextRequest = false // 新增:是否为 1M 上下文请求超过200k
) {
const key = `usage:${keyId}`
const now = new Date()
@@ -250,6 +270,12 @@ class RedisClient {
// 详细缓存类型统计(新增)
pipeline.hincrby(key, 'totalEphemeral5mTokens', ephemeral5mTokens)
pipeline.hincrby(key, 'totalEphemeral1hTokens', ephemeral1hTokens)
// 1M 上下文请求统计(新增)
if (isLongContextRequest) {
pipeline.hincrby(key, 'totalLongContextInputTokens', finalInputTokens)
pipeline.hincrby(key, 'totalLongContextOutputTokens', finalOutputTokens)
pipeline.hincrby(key, 'totalLongContextRequests', 1)
}
// 请求计数
pipeline.hincrby(key, 'totalRequests', 1)
@@ -264,6 +290,12 @@ class RedisClient {
// 详细缓存类型统计
pipeline.hincrby(daily, 'ephemeral5mTokens', ephemeral5mTokens)
pipeline.hincrby(daily, 'ephemeral1hTokens', ephemeral1hTokens)
// 1M 上下文请求统计
if (isLongContextRequest) {
pipeline.hincrby(daily, 'longContextInputTokens', finalInputTokens)
pipeline.hincrby(daily, 'longContextOutputTokens', finalOutputTokens)
pipeline.hincrby(daily, 'longContextRequests', 1)
}
// 每月统计
pipeline.hincrby(monthly, 'tokens', coreTokens)
@@ -376,7 +408,8 @@ class RedisClient {
outputTokens = 0,
cacheCreateTokens = 0,
cacheReadTokens = 0,
model = 'unknown'
model = 'unknown',
isLongContextRequest = false
) {
const now = new Date()
const today = getDateStringInTimezone(now)
@@ -407,7 +440,8 @@ class RedisClient {
finalInputTokens + finalOutputTokens + finalCacheCreateTokens + finalCacheReadTokens
const coreTokens = finalInputTokens + finalOutputTokens
await Promise.all([
// 构建统计操作数组
const operations = [
// 账户总体统计
this.client.hincrby(accountKey, 'totalTokens', coreTokens),
this.client.hincrby(accountKey, 'totalInputTokens', finalInputTokens),
@@ -444,6 +478,26 @@ class RedisClient {
this.client.hincrby(accountHourly, 'allTokens', actualTotalTokens),
this.client.hincrby(accountHourly, 'requests', 1),
// 添加模型级别的数据到hourly键中以支持会话窗口的统计
this.client.hincrby(accountHourly, `model:${normalizedModel}:inputTokens`, finalInputTokens),
this.client.hincrby(
accountHourly,
`model:${normalizedModel}:outputTokens`,
finalOutputTokens
),
this.client.hincrby(
accountHourly,
`model:${normalizedModel}:cacheCreateTokens`,
finalCacheCreateTokens
),
this.client.hincrby(
accountHourly,
`model:${normalizedModel}:cacheReadTokens`,
finalCacheReadTokens
),
this.client.hincrby(accountHourly, `model:${normalizedModel}:allTokens`, actualTotalTokens),
this.client.hincrby(accountHourly, `model:${normalizedModel}:requests`, 1),
// 账户按模型统计 - 每日
this.client.hincrby(accountModelDaily, 'inputTokens', finalInputTokens),
this.client.hincrby(accountModelDaily, 'outputTokens', finalOutputTokens),
@@ -475,7 +529,21 @@ class RedisClient {
this.client.expire(accountModelDaily, 86400 * 32), // 32天过期
this.client.expire(accountModelMonthly, 86400 * 365), // 1年过期
this.client.expire(accountModelHourly, 86400 * 7) // 7天过期
])
]
// 如果是 1M 上下文请求,添加额外的统计
if (isLongContextRequest) {
operations.push(
this.client.hincrby(accountKey, 'totalLongContextInputTokens', finalInputTokens),
this.client.hincrby(accountKey, 'totalLongContextOutputTokens', finalOutputTokens),
this.client.hincrby(accountKey, 'totalLongContextRequests', 1),
this.client.hincrby(accountDaily, 'longContextInputTokens', finalInputTokens),
this.client.hincrby(accountDaily, 'longContextOutputTokens', finalOutputTokens),
this.client.hincrby(accountDaily, 'longContextRequests', 1)
)
}
await Promise.all(operations)
}
async getUsageStats(keyId) {
@@ -632,6 +700,39 @@ class RedisClient {
}
}
// 💰 获取本周 Opus 费用
async getWeeklyOpusCost(keyId) {
const currentWeek = getWeekStringInTimezone()
const costKey = `usage:opus:weekly:${keyId}:${currentWeek}`
const cost = await this.client.get(costKey)
const result = parseFloat(cost || 0)
logger.debug(
`💰 Getting weekly Opus cost for ${keyId}, week: ${currentWeek}, key: ${costKey}, value: ${cost}, result: ${result}`
)
return result
}
// 💰 增加本周 Opus 费用
async incrementWeeklyOpusCost(keyId, amount) {
const currentWeek = getWeekStringInTimezone()
const weeklyKey = `usage:opus:weekly:${keyId}:${currentWeek}`
const totalKey = `usage:opus:total:${keyId}`
logger.debug(
`💰 Incrementing weekly Opus cost for ${keyId}, week: ${currentWeek}, amount: $${amount}`
)
// 使用 pipeline 批量执行,提高性能
const pipeline = this.client.pipeline()
pipeline.incrbyfloat(weeklyKey, amount)
pipeline.incrbyfloat(totalKey, amount)
// 设置周费用键的过期时间为 2 周
pipeline.expire(weeklyKey, 14 * 24 * 3600)
const results = await pipeline.exec()
logger.debug(`💰 Opus cost incremented successfully, new weekly total: $${results[0][1]}`)
}
// 📊 获取账户使用统计
async getAccountUsageStats(accountId) {
const accountKey = `account_usage:${accountId}`
@@ -1276,7 +1377,7 @@ class RedisClient {
const luaScript = `
local key = KEYS[1]
local current = tonumber(redis.call('get', key) or "0")
if current <= 0 then
redis.call('del', key)
return 0
@@ -1337,6 +1438,159 @@ class RedisClient {
const client = this.getClientSafe()
return await client.keys(pattern)
}
// 📊 获取账户会话窗口内的使用统计(包含模型细分)
async getAccountSessionWindowUsage(accountId, windowStart, windowEnd) {
try {
if (!windowStart || !windowEnd) {
return {
totalInputTokens: 0,
totalOutputTokens: 0,
totalCacheCreateTokens: 0,
totalCacheReadTokens: 0,
totalAllTokens: 0,
totalRequests: 0,
modelUsage: {}
}
}
const startDate = new Date(windowStart)
const endDate = new Date(windowEnd)
// 添加日志以调试时间窗口
logger.debug(`📊 Getting session window usage for account ${accountId}`)
logger.debug(` Window: ${windowStart} to ${windowEnd}`)
logger.debug(` Start UTC: ${startDate.toISOString()}, End UTC: ${endDate.toISOString()}`)
// 获取窗口内所有可能的小时键
// 重要:需要使用配置的时区来构建键名,因为数据存储时使用的是配置时区
const hourlyKeys = []
const currentHour = new Date(startDate)
currentHour.setMinutes(0)
currentHour.setSeconds(0)
currentHour.setMilliseconds(0)
while (currentHour <= endDate) {
// 使用时区转换函数来获取正确的日期和小时
const tzDateStr = getDateStringInTimezone(currentHour)
const tzHour = String(getHourInTimezone(currentHour)).padStart(2, '0')
const key = `account_usage:hourly:${accountId}:${tzDateStr}:${tzHour}`
logger.debug(` Adding hourly key: ${key}`)
hourlyKeys.push(key)
currentHour.setHours(currentHour.getHours() + 1)
}
// 批量获取所有小时的数据
const pipeline = this.client.pipeline()
for (const key of hourlyKeys) {
pipeline.hgetall(key)
}
const results = await pipeline.exec()
// 聚合所有数据
let totalInputTokens = 0
let totalOutputTokens = 0
let totalCacheCreateTokens = 0
let totalCacheReadTokens = 0
let totalAllTokens = 0
let totalRequests = 0
const modelUsage = {}
logger.debug(` Processing ${results.length} hourly results`)
for (const [error, data] of results) {
if (error || !data || Object.keys(data).length === 0) {
continue
}
// 处理总计数据
const hourInputTokens = parseInt(data.inputTokens || 0)
const hourOutputTokens = parseInt(data.outputTokens || 0)
const hourCacheCreateTokens = parseInt(data.cacheCreateTokens || 0)
const hourCacheReadTokens = parseInt(data.cacheReadTokens || 0)
const hourAllTokens = parseInt(data.allTokens || 0)
const hourRequests = parseInt(data.requests || 0)
totalInputTokens += hourInputTokens
totalOutputTokens += hourOutputTokens
totalCacheCreateTokens += hourCacheCreateTokens
totalCacheReadTokens += hourCacheReadTokens
totalAllTokens += hourAllTokens
totalRequests += hourRequests
if (hourAllTokens > 0) {
logger.debug(` Hour data: allTokens=${hourAllTokens}, requests=${hourRequests}`)
}
// 处理每个模型的数据
for (const [key, value] of Object.entries(data)) {
// 查找模型相关的键(格式: model:{modelName}:{metric}
if (key.startsWith('model:')) {
const parts = key.split(':')
if (parts.length >= 3) {
const modelName = parts[1]
const metric = parts.slice(2).join(':')
if (!modelUsage[modelName]) {
modelUsage[modelName] = {
inputTokens: 0,
outputTokens: 0,
cacheCreateTokens: 0,
cacheReadTokens: 0,
allTokens: 0,
requests: 0
}
}
if (metric === 'inputTokens') {
modelUsage[modelName].inputTokens += parseInt(value || 0)
} else if (metric === 'outputTokens') {
modelUsage[modelName].outputTokens += parseInt(value || 0)
} else if (metric === 'cacheCreateTokens') {
modelUsage[modelName].cacheCreateTokens += parseInt(value || 0)
} else if (metric === 'cacheReadTokens') {
modelUsage[modelName].cacheReadTokens += parseInt(value || 0)
} else if (metric === 'allTokens') {
modelUsage[modelName].allTokens += parseInt(value || 0)
} else if (metric === 'requests') {
modelUsage[modelName].requests += parseInt(value || 0)
}
}
}
}
}
logger.debug(`📊 Session window usage summary:`)
logger.debug(` Total allTokens: ${totalAllTokens}`)
logger.debug(` Total requests: ${totalRequests}`)
logger.debug(` Input: ${totalInputTokens}, Output: ${totalOutputTokens}`)
logger.debug(
` Cache Create: ${totalCacheCreateTokens}, Cache Read: ${totalCacheReadTokens}`
)
return {
totalInputTokens,
totalOutputTokens,
totalCacheCreateTokens,
totalCacheReadTokens,
totalAllTokens,
totalRequests,
modelUsage
}
} catch (error) {
logger.error(`❌ Failed to get session window usage for account ${accountId}:`, error)
return {
totalInputTokens: 0,
totalOutputTokens: 0,
totalCacheCreateTokens: 0,
totalCacheReadTokens: 0,
totalAllTokens: 0,
totalRequests: 0,
modelUsage: {}
}
}
}
}
const redisClient = new RedisClient()
@@ -1345,5 +1599,6 @@ const redisClient = new RedisClient()
redisClient.getDateInTimezone = getDateInTimezone
redisClient.getDateStringInTimezone = getDateStringInTimezone
redisClient.getHourInTimezone = getHourInTimezone
redisClient.getWeekStringInTimezone = getWeekStringInTimezone
module.exports = redisClient