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Add multi-database data layer

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Introduce aether-data-schema and driver-specific schema generation for Postgres, MySQL, and SQLite.

Split data backends, lifecycle, repositories, and gateway runtime integration across database drivers.

Verified with cargo fmt --all --check, cargo clippy --workspace --all-targets -- -D warnings, and cargo test --workspace.
This commit is contained in:
fawney19
2026-05-05 18:27:36 +08:00
parent 099653f732
commit fce7e959e5
372 changed files with 86217 additions and 21160 deletions
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frontend/src/features/usage/composables/useUsageData.ts
+212 -162
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@@ -70,7 +70,7 @@ export function useUsageData(options: UseUsageDataOptions) {
})
// 加载统计数据（不加载记录）
async function loadStats(dateRange?: DateRangeParams) {
async function loadStats(dateRange?: DateRangeParams): Promise<boolean> {
const requestId = ++loadStatsRequestId
isLoadingStats.value = true
currentDateRange.value = dateRange
@@ -78,189 +78,239 @@ export function useUsageData(options: UseUsageDataOptions) {
try {
if (isAdminPage.value) {
// 管理员页面顺序加载统计数据，避免刷新使用记录时瞬时打满后端 worker。
const statsData = await usageApi.getUsageStats(dateRange)
stats.value = createDefaultStats()
modelStats.value = []
providerStats.value = []
apiFormatStats.value = []
availableModels.value = []
availableProviders.value = []
if (requestId !== loadStatsRequestId) {
return
let hadFailure = false
const markFailure = (error: unknown) => {
hadFailure = true
if (getErrorStatus(error) !== 403) {
log.error('加载统计数据失败:', error)
}
}
// statsData may contain additional fields not declared in UsageStats
const statsRaw = statsData as Record<string, unknown>
stats.value = {
total_requests: statsData.total_requests || 0,
total_tokens: statsData.total_tokens || 0,
total_cost: statsData.total_cost || 0,
total_actual_cost: statsData.total_actual_cost,
avg_response_time: statsData.avg_response_time || 0,
error_count: typeof statsRaw.error_count === 'number' ? statsRaw.error_count : undefined,
error_rate: typeof statsRaw.error_rate === 'number' ? statsRaw.error_rate : undefined,
cache_stats: statsRaw.cache_stats as UsageStatsState['cache_stats'],
period_start: '',
period_end: '',
try {
const statsData = await usageApi.getUsageStats(dateRange)
if (requestId !== loadStatsRequestId) {
return true
}
// statsData may contain additional fields not declared in UsageStats
const statsRaw = statsData as Record<string, unknown>
stats.value = {
total_requests: statsData.total_requests || 0,
total_tokens: statsData.total_tokens || 0,
total_cost: statsData.total_cost || 0,
total_actual_cost: statsData.total_actual_cost,
avg_response_time: statsData.avg_response_time || 0,
error_count: typeof statsRaw.error_count === 'number' ? statsRaw.error_count : undefined,
error_rate: typeof statsRaw.error_rate === 'number' ? statsRaw.error_rate : undefined,
cache_stats: statsRaw.cache_stats as UsageStatsState['cache_stats'],
period_start: '',
period_end: '',
}
} catch (error) {
if (requestId !== loadStatsRequestId) {
return true
}
markFailure(error)
}
const modelData = await usageApi.getUsageByModel(dateRange)
if (requestId !== loadStatsRequestId) {
return
try {
const modelData = await usageApi.getUsageByModel(dateRange)
if (requestId !== loadStatsRequestId) {
return true
}
modelStats.value = modelData.map(item => {
const raw = item as Record<string, unknown>
return {
model: item.model,
request_count: item.request_count || 0,
total_tokens: item.total_tokens || 0,
effective_input_tokens: typeof raw.effective_input_tokens === 'number' ? raw.effective_input_tokens : 0,
total_input_context: typeof raw.total_input_context === 'number' ? raw.total_input_context : 0,
output_tokens: typeof raw.output_tokens === 'number' ? raw.output_tokens : 0,
cache_read_tokens: typeof raw.cache_read_tokens === 'number' ? raw.cache_read_tokens : 0,
cache_creation_tokens: typeof raw.cache_creation_tokens === 'number' ? raw.cache_creation_tokens : 0,
cache_hit_rate: typeof raw.cache_hit_rate === 'number' ? raw.cache_hit_rate : 0,
total_cost: item.total_cost || 0,
actual_cost: typeof raw.actual_cost === 'number' ? raw.actual_cost : undefined
}
})
availableModels.value = modelData.map(item => item.model).filter(Boolean).sort()
} catch (error) {
if (requestId !== loadStatsRequestId) {
return true
}
markFailure(error)
}
modelStats.value = modelData.map(item => {
const raw = item as Record<string, unknown>
return {
model: item.model,
try {
const providerData = await usageApi.getUsageByProvider(dateRange)
if (requestId !== loadStatsRequestId) {
return true
}
providerStats.value = providerData.map(item => ({
provider: item.provider,
requests: item.request_count,
totalTokens: item.total_tokens || 0,
effectiveInputTokens: item.effective_input_tokens || 0,
totalInputContext: item.total_input_context || 0,
outputTokens: item.output_tokens || 0,
cacheReadTokens: item.cache_read_tokens || 0,
cacheCreationTokens: item.cache_creation_tokens || 0,
cacheHitRate: item.cache_hit_rate || 0,
totalCost: item.total_cost,
actualCost: item.actual_cost,
successRate: item.success_rate,
avgResponseTime: item.avg_response_time_ms > 0
? `${(item.avg_response_time_ms / 1000).toFixed(2)}s`
: '-'
}))
availableProviders.value = providerData.map(item => item.provider).filter(Boolean).sort()
} catch (error) {
if (requestId !== loadStatsRequestId) {
return true
}
markFailure(error)
}
try {
const apiFormatData = await usageApi.getUsageByApiFormat(dateRange)
if (requestId !== loadStatsRequestId) {
return true
}
apiFormatStats.value = apiFormatData.map(item => ({
api_format: item.api_format,
request_count: item.request_count || 0,
total_tokens: item.total_tokens || 0,
effective_input_tokens: typeof raw.effective_input_tokens === 'number' ? raw.effective_input_tokens : 0,
total_input_context: typeof raw.total_input_context === 'number' ? raw.total_input_context : 0,
output_tokens: typeof raw.output_tokens === 'number' ? raw.output_tokens : 0,
cache_read_tokens: typeof raw.cache_read_tokens === 'number' ? raw.cache_read_tokens : 0,
cache_creation_tokens: typeof raw.cache_creation_tokens === 'number' ? raw.cache_creation_tokens : 0,
cache_hit_rate: typeof raw.cache_hit_rate === 'number' ? raw.cache_hit_rate : 0,
effective_input_tokens: item.effective_input_tokens || 0,
total_input_context: item.total_input_context || 0,
output_tokens: item.output_tokens || 0,
cache_read_tokens: item.cache_read_tokens || 0,
cache_creation_tokens: item.cache_creation_tokens || 0,
cache_hit_rate: item.cache_hit_rate || 0,
total_cost: item.total_cost || 0,
actual_cost: typeof raw.actual_cost === 'number' ? raw.actual_cost : undefined
actual_cost: item.actual_cost,
avgResponseTime: item.avg_response_time_ms > 0
? `${(item.avg_response_time_ms / 1000).toFixed(2)}s`
: '-'
}))
} catch (error) {
if (requestId !== loadStatsRequestId) {
return true
}
})
const providerData = await usageApi.getUsageByProvider(dateRange)
if (requestId !== loadStatsRequestId) {
return
markFailure(error)
}
providerStats.value = providerData.map(item => ({
provider: item.provider,
requests: item.request_count,
totalTokens: item.total_tokens || 0,
effectiveInputTokens: item.effective_input_tokens || 0,
totalInputContext: item.total_input_context || 0,
outputTokens: item.output_tokens || 0,
cacheReadTokens: item.cache_read_tokens || 0,
cacheCreationTokens: item.cache_creation_tokens || 0,
cacheHitRate: item.cache_hit_rate || 0,
totalCost: item.total_cost,
actualCost: item.actual_cost,
successRate: item.success_rate,
avgResponseTime: item.avg_response_time_ms > 0
? `${(item.avg_response_time_ms / 1000).toFixed(2)}s`
: '-'
}))
const apiFormatData = await usageApi.getUsageByApiFormat(dateRange)
if (requestId !== loadStatsRequestId) {
return
}
apiFormatStats.value = apiFormatData.map(item => ({
api_format: item.api_format,
request_count: item.request_count || 0,
total_tokens: item.total_tokens || 0,
effective_input_tokens: item.effective_input_tokens || 0,
total_input_context: item.total_input_context || 0,
output_tokens: item.output_tokens || 0,
cache_read_tokens: item.cache_read_tokens || 0,
cache_creation_tokens: item.cache_creation_tokens || 0,
cache_hit_rate: item.cache_hit_rate || 0,
total_cost: item.total_cost || 0,
actual_cost: item.actual_cost,
avgResponseTime: item.avg_response_time_ms > 0
? `${(item.avg_response_time_ms / 1000).toFixed(2)}s`
: '-'
}))
// 从统计数据中提取可用的筛选选项
availableModels.value = modelData.map(item => item.model).filter(Boolean).sort()
availableProviders.value = providerData.map(item => item.provider).filter(Boolean).sort()
} else {
// 用户页面
const userData = await meApi.getUsage(dateRange)
if (requestId !== loadStatsRequestId) {
return
}
stats.value = {
total_requests: userData.total_requests || 0,
total_tokens: userData.total_tokens || 0,
total_cost: userData.total_cost || 0,
total_actual_cost: userData.total_actual_cost,
avg_response_time: userData.avg_response_time || 0,
period_start: '',
period_end: '',
}
modelStats.value = (userData.summary_by_model || []).map((item) => ({
model: item.model,
request_count: item.requests || 0,
total_tokens: item.total_tokens || 0,
effective_input_tokens: item.effective_input_tokens || 0,
total_input_context: item.total_input_context || 0,
output_tokens: item.output_tokens || 0,
cache_read_tokens: item.cache_read_tokens || 0,
cache_creation_tokens: item.cache_creation_tokens || 0,
cache_hit_rate: item.cache_hit_rate || 0,
total_cost: item.total_cost_usd || 0,
actual_cost: item.actual_total_cost_usd
}))
providerStats.value = (userData.summary_by_provider || []).map((item) => ({
provider: item.provider,
requests: item.requests || 0,
totalTokens: item.total_tokens || 0,
effectiveInputTokens: item.effective_input_tokens || 0,
totalInputContext: item.total_input_context || 0,
outputTokens: item.output_tokens || 0,
cacheReadTokens: item.cache_read_tokens || 0,
cacheCreationTokens: item.cache_creation_tokens || 0,
cacheHitRate: item.cache_hit_rate || 0,
totalCost: item.total_cost_usd || 0,
successRate: item.success_rate || 0,
avgResponseTime: (item.avg_response_time_ms ?? 0) > 0
? `${((item.avg_response_time_ms ?? 0) / 1000).toFixed(2)}s`
: '-'
}))
// 用户页面：记录直接从 userData 获取（数量较少）
// 使用 mergeRecordStatus 保护已有的活跃状态，避免轮询更新被覆盖
const nextRecords = (userData.records || []) as UsageRecord[]
currentRecords.value = mergeRecordStatus(currentRecords.value, nextRecords)
totalRecords.value = userData.pagination?.total ?? currentRecords.value.length
// 从记录中提取筛选选项
const models = new Set<string>()
const providers = new Set<string>()
currentRecords.value.forEach(record => {
if (record.model) models.add(record.model)
if (record.provider) providers.add(record.provider)
})
availableModels.value = Array.from(models).sort()
availableProviders.value = Array.from(providers).sort()
// API 格式统计直接使用后端聚合数据
apiFormatStats.value = (userData.summary_by_api_format || []).map(item => ({
api_format: item.api_format,
request_count: item.request_count || 0,
total_tokens: item.total_tokens || 0,
effective_input_tokens: item.effective_input_tokens || 0,
total_input_context: item.total_input_context || 0,
output_tokens: item.output_tokens || 0,
cache_read_tokens: item.cache_read_tokens || 0,
cache_creation_tokens: item.cache_creation_tokens || 0,
cache_hit_rate: item.cache_hit_rate || 0,
total_cost: item.total_cost_usd || 0,
avgResponseTime: (item.avg_response_time_ms ?? 0) > 0
? `${((item.avg_response_time_ms ?? 0) / 1000).toFixed(2)}s`
: '-'
}))
return hadFailure
}
// 用户页面
const userData = await meApi.getUsage(dateRange)
if (requestId !== loadStatsRequestId) {
return false
}
stats.value = {
total_requests: userData.total_requests || 0,
total_tokens: userData.total_tokens || 0,
total_cost: userData.total_cost || 0,
total_actual_cost: userData.total_actual_cost,
avg_response_time: userData.avg_response_time || 0,
period_start: '',
period_end: '',
}
modelStats.value = (userData.summary_by_model || []).map((item) => ({
model: item.model,
request_count: item.requests || 0,
total_tokens: item.total_tokens || 0,
effective_input_tokens: item.effective_input_tokens || 0,
total_input_context: item.total_input_context || 0,
output_tokens: item.output_tokens || 0,
cache_read_tokens: item.cache_read_tokens || 0,
cache_creation_tokens: item.cache_creation_tokens || 0,
cache_hit_rate: item.cache_hit_rate || 0,
total_cost: item.total_cost_usd || 0,
actual_cost: item.actual_total_cost_usd
}))
providerStats.value = (userData.summary_by_provider || []).map((item) => ({
provider: item.provider,
requests: item.requests || 0,
totalTokens: item.total_tokens || 0,
effectiveInputTokens: item.effective_input_tokens || 0,
totalInputContext: item.total_input_context || 0,
outputTokens: item.output_tokens || 0,
cacheReadTokens: item.cache_read_tokens || 0,
cacheCreationTokens: item.cache_creation_tokens || 0,
cacheHitRate: item.cache_hit_rate || 0,
totalCost: item.total_cost_usd || 0,
successRate: item.success_rate || 0,
avgResponseTime: (item.avg_response_time_ms ?? 0) > 0
? `${((item.avg_response_time_ms ?? 0) / 1000).toFixed(2)}s`
: '-'
}))
// 用户页面：记录直接从 userData 获取（数量较少）
// 使用 mergeRecordStatus 保护已有的活跃状态，避免轮询更新被覆盖
const nextRecords = (userData.records || []) as UsageRecord[]
currentRecords.value = mergeRecordStatus(currentRecords.value, nextRecords)
totalRecords.value = userData.pagination?.total ?? currentRecords.value.length
// 从记录中提取筛选选项
const models = new Set<string>()
const providers = new Set<string>()
currentRecords.value.forEach(record => {
if (record.model) models.add(record.model)
if (record.provider) providers.add(record.provider)
})
availableModels.value = Array.from(models).sort()
availableProviders.value = Array.from(providers).sort()
// API 格式统计直接使用后端聚合数据
apiFormatStats.value = (userData.summary_by_api_format || []).map(item => ({
api_format: item.api_format,
request_count: item.request_count || 0,
total_tokens: item.total_tokens || 0,
effective_input_tokens: item.effective_input_tokens || 0,
total_input_context: item.total_input_context || 0,
output_tokens: item.output_tokens || 0,
cache_read_tokens: item.cache_read_tokens || 0,
cache_creation_tokens: item.cache_creation_tokens || 0,
cache_hit_rate: item.cache_hit_rate || 0,
total_cost: item.total_cost_usd || 0,
avgResponseTime: (item.avg_response_time_ms ?? 0) > 0
? `${((item.avg_response_time_ms ?? 0) / 1000).toFixed(2)}s`
: '-'
}))
return false
} catch (error: unknown) {
if (requestId !== loadStatsRequestId) {
return
return true
}
if (getErrorStatus(error) !== 403) {
log.error('加载统计数据失败:', error)
}
stats.value = createDefaultStats()
modelStats.value = []
currentRecords.value = []
if (!isAdminPage.value) {
// 用户页的 records 依赖 stats 一起加载；管理员页的 records 是独立分页，不应被统计失败清空。
currentRecords.value = []
totalRecords.value = 0
}
return true
} finally {
if (requestId === loadStatsRequestId) {
isLoadingStats.value = false