Files
sub2api/backend/internal/service/account_stats_pricing.go
T
qiu121 958a21ad6e fix(billing): 修复 DeepSeek 高峰账号成本少计
- 将两个用量记录入口的请求级定价时刻传递给账号成本统计,使跨峰谷请求的成本与客户计费采用同一时间基准。
- 默认目录成本改用统一计费入口并隔离分组与渠道售价,使 DeepSeek 高峰成本正确应用两倍价格,同时保留服务层级、长上下文和单次推理等级倍率。
- 增加 Flash 与 Pro 的峰谷边界、缓存用量、规则优先级及真实网关回归测试,确保账号成本按最终上游模型计算且客户扣款金额与次数保持一致。

验证:Go 1.27.0 下全量 unit 与 integration 测试命令通过;golangci-lint 2.13.0 报告 0 个问题。定向回归无失败或跳过,全量套件保留原有条件跳过项。
2026-09-06 15:15:21 +08:00

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package service
import (
"context"
"strings"
"time"
)
// resolveAccountStatsCost 计算账号统计定价费用。
// 返回 nil 表示不覆盖,使用默认公式(total_cost × account_rate_multiplier)。
//
// 优先级(先命中为准):
// 1. 自定义规则(始终尝试,不依赖 ApplyPricingToAccountStats 开关)
// 2. ApplyPricingToAccountStats 启用时,直接使用本次请求的客户计费(倍率前的 totalCost)
// 3. 模型定价文件(LiteLLM)中上游模型的默认价格
// 4. nil → 走默认公式(total_cost × account_rate_multiplier)
//
// upstreamModel 是最终发往上游的模型 ID。
// totalCost 是本次请求的客户计费(倍率前),用于优先级 2。
// serviceTier 是最终参与用户计费的 OpenAI 服务层级,用于优先级 3。
// pricingAt 与本次客户计费使用同一时刻,避免跨峰谷请求的成本与售价错位。
// reasoningEffort 是最终转发等级;Fable 5.1 max 默认按 3 倍额度消耗。
func resolveAccountStatsCost(
ctx context.Context,
channelService *ChannelService,
billingService *BillingService,
accountID int64,
groupID int64,
upstreamModel string,
tokens UsageTokens,
requestCount int,
totalCost float64,
serviceTier string,
pricingAt time.Time,
reasoningEfforts ...string,
) *float64 {
reasoningEffort := ""
if len(reasoningEfforts) > 0 {
reasoningEffort = reasoningEfforts[0]
}
if channelService == nil || upstreamModel == "" {
return nil
}
channel, err := channelService.GetChannelForGroup(ctx, groupID)
if err != nil || channel == nil {
return nil
}
platform := channelService.GetGroupPlatform(ctx, groupID)
// 优先级 1:自定义规则(始终尝试)
if cost := tryCustomRules(channel, accountID, groupID, platform, upstreamModel, tokens, requestCount, reasoningEffort); cost != nil {
return cost
}
// 优先级 2:渠道开启"应用模型定价到账号统计"时,直接使用客户计费(倍率前)
if channel.ApplyPricingToAccountStats {
cost := totalCost
if cost <= 0 {
return nil
}
return &cost
}
// 优先级 3:模型定价文件(LiteLLM)默认价格
if billingService != nil {
return tryModelFilePricing(billingService, upstreamModel, tokens, serviceTier, pricingAt, reasoningEffort)
}
return nil
}
// tryModelFilePricing 使用模型定价文件(LiteLLM/fallback)中的价格计算费用。
// 与用户计费共用同一条定价管线,避免这里维护第二份"单价 × token 数"实现后,
// 每加一个定价特性都要手工镜像一次。解析器不配置渠道或分组,保持优先级 3 的
// 语义:只取模型定价文件,不引入自定义售价。
func tryModelFilePricing(billingService *BillingService, model string, tokens UsageTokens, serviceTier string, pricingAt time.Time, reasoningEfforts ...string) *float64 {
reasoningEffort := ""
if len(reasoningEfforts) > 0 {
reasoningEffort = reasoningEfforts[0]
}
breakdown, err := billingService.CalculateCostUnified(CostInput{
Ctx: context.Background(),
Model: model,
Tokens: tokens,
RateMultiplier: 1,
ServiceTier: normalizeBillingServiceTier(serviceTier),
ReasoningEffort: reasoningEffort,
PricingAt: pricingAt,
Resolver: NewModelPricingResolver(nil, billingService),
})
if err != nil || breakdown == nil || breakdown.TotalCost <= 0 {
return nil
}
return &breakdown.TotalCost
}
// tryCustomRules 遍历自定义规则,按数组顺序先命中为准。
func tryCustomRules(
channel *Channel, accountID, groupID int64,
platform, model string, tokens UsageTokens, requestCount int,
reasoningEfforts ...string,
) *float64 {
reasoningEffort := ""
if len(reasoningEfforts) > 0 {
reasoningEffort = reasoningEfforts[0]
}
modelLower := strings.ToLower(model)
for _, rule := range channel.AccountStatsPricingRules {
if !matchAccountStatsRule(&rule, accountID, groupID) {
continue
}
pricing := findPricingForModel(rule.Pricing, platform, modelLower)
if pricing == nil {
continue // 规则匹配但模型不在规则定价中,继续下一条
}
cost := calculateStatsCost(pricing, tokens, requestCount)
if cost != nil {
*cost *= maxReasoningEffortBillingMultiplier(model, reasoningEffort, nil)
}
return cost
}
return nil
}
// matchAccountStatsRule 检查规则是否匹配指定的 accountID 和 groupID。
// 匹配条件:accountID ∈ rule.AccountIDs 或 groupID ∈ rule.GroupIDs。
// 如果规则的 AccountIDs 和 GroupIDs 都为空,视为不匹配。
func matchAccountStatsRule(rule *AccountStatsPricingRule, accountID, groupID int64) bool {
if len(rule.AccountIDs) == 0 && len(rule.GroupIDs) == 0 {
return false
}
for _, id := range rule.AccountIDs {
if id == accountID {
return true
}
}
for _, id := range rule.GroupIDs {
if id == groupID {
return true
}
}
return false
}
// findPricingForModel 在定价列表中查找匹配的模型定价。
// 先精确匹配,再通配符匹配(按配置顺序,先匹配先使用)。
func findPricingForModel(pricingList []ChannelModelPricing, platform, modelLower string) *ChannelModelPricing {
// 精确匹配优先
for i := range pricingList {
p := &pricingList[i]
if !isPlatformMatch(platform, p.Platform) {
continue
}
for _, m := range p.Models {
if strings.ToLower(m) == modelLower {
return p
}
}
}
// 通配符匹配:按配置顺序,先匹配先使用
for i := range pricingList {
p := &pricingList[i]
if !isPlatformMatch(platform, p.Platform) {
continue
}
for _, m := range p.Models {
ml := strings.ToLower(m)
if !strings.HasSuffix(ml, "*") {
continue
}
prefix := strings.TrimSuffix(ml, "*")
if strings.HasPrefix(modelLower, prefix) {
return p
}
}
}
return nil
}
// isPlatformMatch 判断平台是否匹配(空平台视为不限平台)。
func isPlatformMatch(queryPlatform, pricingPlatform string) bool {
if queryPlatform == "" || pricingPlatform == "" {
return true
}
return queryPlatform == pricingPlatform
}
// calculateStatsCost 使用给定的定价计算费用(不含任何倍率,原始费用)。
func calculateStatsCost(pricing *ChannelModelPricing, tokens UsageTokens, requestCount int) *float64 {
if pricing == nil {
return nil
}
switch pricing.BillingMode {
case BillingModePerRequest, BillingModeImage:
return calculatePerRequestStatsCost(pricing, requestCount)
default:
return calculateTokenStatsCost(pricing, tokens)
}
}
// calculatePerRequestStatsCost 按次/图片计费。
func calculatePerRequestStatsCost(pricing *ChannelModelPricing, requestCount int) *float64 {
if pricing.PerRequestPrice == nil || *pricing.PerRequestPrice <= 0 {
return nil
}
cost := *pricing.PerRequestPrice * float64(requestCount)
return &cost
}
// calculateTokenStatsCost Token 计费。
// If the pricing has intervals, find the matching interval by total token count
// and use its prices instead of the flat pricing fields.
func calculateTokenStatsCost(pricing *ChannelModelPricing, tokens UsageTokens) *float64 {
p := pricing
if len(pricing.Intervals) > 0 {
totalTokens := tokens.InputTokens + tokens.OutputTokens + tokens.CacheCreationTokens + tokens.CacheReadTokens
if iv := FindMatchingInterval(pricing.Intervals, totalTokens); iv != nil {
p = &ChannelModelPricing{
InputPrice: iv.InputPrice,
OutputPrice: iv.OutputPrice,
CacheWritePrice: iv.CacheWritePrice,
CacheWrite1hPrice: iv.CacheWrite1hPrice,
CacheReadPrice: iv.CacheReadPrice,
PerRequestPrice: iv.PerRequestPrice,
}
}
}
deref := func(ptr *float64) float64 {
if ptr == nil {
return 0
}
return *ptr
}
cacheCreationCost := float64(tokens.CacheCreationTokens) * deref(p.CacheWritePrice)
if p.CacheWrite1hPrice != nil {
cache5m, cache1h := normalizeCacheCreationBreakdown(tokens)
if cache5m > 0 || cache1h > 0 {
cacheCreationCost = float64(cache5m)*deref(p.CacheWritePrice) +
float64(cache1h)*deref(p.CacheWrite1hPrice)
}
}
cost := float64(tokens.InputTokens)*deref(p.InputPrice) +
float64(tokens.OutputTokens)*deref(p.OutputPrice) +
cacheCreationCost +
float64(tokens.CacheReadTokens)*deref(p.CacheReadPrice) +
float64(tokens.ImageOutputTokens)*deref(p.ImageOutputPrice)
if cost <= 0 {
return nil
}
return &cost
}
// applyAccountStatsCost resolves the account stats cost for a usage log entry.
// It resolves the upstream model (falling back to the requested model) and calls
// the 4-level priority chain via resolveAccountStatsCost.
func applyAccountStatsCost(
ctx context.Context,
usageLog *UsageLog,
cs *ChannelService, bs *BillingService,
accountID int64, groupID int64,
upstreamModel, requestedModel string,
tokens UsageTokens,
totalCost float64,
pricingAt time.Time,
) {
model := upstreamModel
if model == "" {
model = requestedModel
}
requestCount := 1
if usageLog != nil && usageLog.ImageCount > 0 {
requestCount = usageLog.ImageCount
}
serviceTier := ""
reasoningEffort := ""
if usageLog != nil && usageLog.ServiceTier != nil {
serviceTier = *usageLog.ServiceTier
}
if usageLog != nil && usageLog.ReasoningEffort != nil {
reasoningEffort = *usageLog.ReasoningEffort
}
usageLog.AccountStatsCost = resolveAccountStatsCost(
ctx, cs, bs, accountID, groupID, model, tokens, requestCount, totalCost, serviceTier, pricingAt, reasoningEffort,
)
}