Files
sub2api/backend/internal/service/channel.go
erio 7535e312e0 feat(channels): add custom account stats pricing rules
Allow channels to configure independent model pricing for account
statistics cost calculation, decoupled from user billing.

Backend:
- Migration 101: channels.apply_pricing_to_account_stats toggle,
  channel_account_stats_pricing_rules/model_pricing tables,
  usage_logs.account_stats_cost column
- resolveAccountStatsCost: match rules by group/account, then channel
  pricing, fallback to original formula when unconfigured
- Integrate into both GatewayService.recordUsageCore and
  OpenAIGatewayService.RecordUsage
- Update 8 account stats SQL queries to use
  COALESCE(account_stats_cost, total_cost) * account_rate_multiplier
- 23 unit tests for matching, pricing lookup, and cost calculation

Frontend:
- Channel edit dialog: toggle + custom rules UI with group/account
  multi-select and pricing entry cards
- API types and i18n (zh/en)
2026-04-14 09:22:12 +08:00

318 lines
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package service
import (
"fmt"
"sort"
"strings"
"time"
)
// BillingMode 计费模式
type BillingMode string
const (
BillingModeToken BillingMode = "token" // 按 token 区间计费
BillingModePerRequest BillingMode = "per_request" // 按次计费(支持上下文窗口分层)
BillingModeImage BillingMode = "image" // 图片计费(当前按次,预留 token 计费)
)
// IsValid 检查 BillingMode 是否为合法值
func (m BillingMode) IsValid() bool {
switch m {
case BillingModeToken, BillingModePerRequest, BillingModeImage, "":
return true
}
return false
}
const (
BillingModelSourceRequested = "requested"
BillingModelSourceUpstream = "upstream"
BillingModelSourceChannelMapped = "channel_mapped"
)
// Channel 渠道实体
type Channel struct {
ID int64
Name string
Description string
Status string
BillingModelSource string // "requested", "upstream", or "channel_mapped"
RestrictModels bool // 是否限制模型(仅允许定价列表中的模型)
Features string // 渠道特性描述JSON 数组),用于支付页面展示
CreatedAt time.Time
UpdatedAt time.Time
// 关联的分组 ID 列表
GroupIDs []int64
// 模型定价列表(每条含 Platform 字段)
ModelPricing []ChannelModelPricing
// 渠道级模型映射按平台分组platform → {src→dst}
ModelMapping map[string]map[string]string
// 账号统计定价
ApplyPricingToAccountStats bool // 是否应用渠道模型定价到账号统计
AccountStatsPricingRules []AccountStatsPricingRule // 自定义账号统计定价规则(按 SortOrder 排序,先命中为准)
}
// AccountStatsPricingRule 账号统计定价规则
// 每条规则包含匹配条件(分组/账号)和独立的模型定价。
// 多条规则按 SortOrder 排序,先命中为准。
type AccountStatsPricingRule struct {
ID int64
ChannelID int64
Name string
GroupIDs []int64
AccountIDs []int64
SortOrder int
Pricing []ChannelModelPricing // 规则内的模型定价(复用现有定价结构)
CreatedAt time.Time
UpdatedAt time.Time
}
// ChannelModelPricing 渠道模型定价条目
type ChannelModelPricing struct {
ID int64
ChannelID int64
Platform string // 所属平台anthropic/openai/gemini/...
Models []string // 绑定的模型列表
BillingMode BillingMode // 计费模式
InputPrice *float64 // 每 token 输入价格USD— 向后兼容 flat 定价
OutputPrice *float64 // 每 token 输出价格USD
CacheWritePrice *float64 // 缓存写入价格
CacheReadPrice *float64 // 缓存读取价格
ImageOutputPrice *float64 // 图片输出价格(向后兼容)
PerRequestPrice *float64 // 默认按次计费价格USD
Intervals []PricingInterval // 区间定价列表
CreatedAt time.Time
UpdatedAt time.Time
}
// PricingInterval 定价区间token 区间 / 按次分层 / 图片分辨率分层)
type PricingInterval struct {
ID int64
PricingID int64
MinTokens int // 区间下界(含)
MaxTokens *int // 区间上界不含nil = 无上限
TierLabel string // 层级标签(按次/图片模式1K, 2K, 4K, HD 等)
InputPrice *float64 // token 模式:每 token 输入价
OutputPrice *float64 // token 模式:每 token 输出价
CacheWritePrice *float64 // token 模式:缓存写入价
CacheReadPrice *float64 // token 模式:缓存读取价
PerRequestPrice *float64 // 按次/图片模式:每次请求价格
SortOrder int
CreatedAt time.Time
UpdatedAt time.Time
}
// IsActive 判断渠道是否启用
func (c *Channel) IsActive() bool {
return c.Status == StatusActive
}
// GetModelPricing 根据模型名查找渠道定价,未找到返回 nil。
// 精确匹配,大小写不敏感。返回值拷贝,不污染缓存。
func (c *Channel) GetModelPricing(model string) *ChannelModelPricing {
modelLower := strings.ToLower(model)
for i := range c.ModelPricing {
for _, m := range c.ModelPricing[i].Models {
if strings.ToLower(m) == modelLower {
cp := c.ModelPricing[i].Clone()
return &cp
}
}
}
return nil
}
// FindMatchingInterval 在区间列表中查找匹配 totalTokens 的区间。
// 区间为左开右闭 (min, max]min 不含max 包含。
// 第一个区间 min=0 时0 token 不匹配任何区间(回退到默认价格)。
func FindMatchingInterval(intervals []PricingInterval, totalTokens int) *PricingInterval {
for i := range intervals {
iv := &intervals[i]
if totalTokens > iv.MinTokens && (iv.MaxTokens == nil || totalTokens <= *iv.MaxTokens) {
return iv
}
}
return nil
}
// GetIntervalForContext 根据总 context token 数查找匹配的区间。
func (p *ChannelModelPricing) GetIntervalForContext(totalTokens int) *PricingInterval {
return FindMatchingInterval(p.Intervals, totalTokens)
}
// GetTierByLabel 根据标签查找层级(用于 per_request / image 模式)
func (p *ChannelModelPricing) GetTierByLabel(label string) *PricingInterval {
labelLower := strings.ToLower(label)
for i := range p.Intervals {
if strings.ToLower(p.Intervals[i].TierLabel) == labelLower {
return &p.Intervals[i]
}
}
return nil
}
// Clone 返回 ChannelModelPricing 的拷贝(切片独立,指针字段共享,调用方只读安全)
func (p ChannelModelPricing) Clone() ChannelModelPricing {
cp := p
if p.Models != nil {
cp.Models = make([]string, len(p.Models))
copy(cp.Models, p.Models)
}
if p.Intervals != nil {
cp.Intervals = make([]PricingInterval, len(p.Intervals))
copy(cp.Intervals, p.Intervals)
}
return cp
}
// Clone 返回 Channel 的深拷贝
func (c *Channel) Clone() *Channel {
if c == nil {
return nil
}
cp := *c
if c.GroupIDs != nil {
cp.GroupIDs = make([]int64, len(c.GroupIDs))
copy(cp.GroupIDs, c.GroupIDs)
}
if c.ModelPricing != nil {
cp.ModelPricing = make([]ChannelModelPricing, len(c.ModelPricing))
for i := range c.ModelPricing {
cp.ModelPricing[i] = c.ModelPricing[i].Clone()
}
}
if c.ModelMapping != nil {
cp.ModelMapping = make(map[string]map[string]string, len(c.ModelMapping))
for platform, mapping := range c.ModelMapping {
inner := make(map[string]string, len(mapping))
for k, v := range mapping {
inner[k] = v
}
cp.ModelMapping[platform] = inner
}
}
if c.AccountStatsPricingRules != nil {
cp.AccountStatsPricingRules = make([]AccountStatsPricingRule, len(c.AccountStatsPricingRules))
for i, rule := range c.AccountStatsPricingRules {
cp.AccountStatsPricingRules[i] = rule
if rule.GroupIDs != nil {
cp.AccountStatsPricingRules[i].GroupIDs = make([]int64, len(rule.GroupIDs))
copy(cp.AccountStatsPricingRules[i].GroupIDs, rule.GroupIDs)
}
if rule.AccountIDs != nil {
cp.AccountStatsPricingRules[i].AccountIDs = make([]int64, len(rule.AccountIDs))
copy(cp.AccountStatsPricingRules[i].AccountIDs, rule.AccountIDs)
}
if rule.Pricing != nil {
cp.AccountStatsPricingRules[i].Pricing = make([]ChannelModelPricing, len(rule.Pricing))
for j := range rule.Pricing {
cp.AccountStatsPricingRules[i].Pricing[j] = rule.Pricing[j].Clone()
}
}
}
}
return &cp
}
// ValidateIntervals 校验区间列表的合法性。
// 规则MinTokens >= 0MaxTokens 若非 nil 则 > 0 且 > MinTokens
// 所有价格字段 >= 0区间按 MinTokens 排序后无重叠((min, max] 语义);
// 无界区间MaxTokens=nil必须是最后一个。间隙允许回退默认价格
func ValidateIntervals(intervals []PricingInterval) error {
if len(intervals) == 0 {
return nil
}
sorted := make([]PricingInterval, len(intervals))
copy(sorted, intervals)
sort.Slice(sorted, func(i, j int) bool {
return sorted[i].MinTokens < sorted[j].MinTokens
})
for i := range sorted {
if err := validateSingleInterval(&sorted[i], i); err != nil {
return err
}
}
return validateIntervalOverlap(sorted)
}
// validateSingleInterval 校验单个区间的字段合法性
func validateSingleInterval(iv *PricingInterval, idx int) error {
if iv.MinTokens < 0 {
return fmt.Errorf("interval #%d: min_tokens (%d) must be >= 0", idx+1, iv.MinTokens)
}
if iv.MaxTokens != nil {
if *iv.MaxTokens <= 0 {
return fmt.Errorf("interval #%d: max_tokens (%d) must be > 0", idx+1, *iv.MaxTokens)
}
if *iv.MaxTokens <= iv.MinTokens {
return fmt.Errorf("interval #%d: max_tokens (%d) must be > min_tokens (%d)",
idx+1, *iv.MaxTokens, iv.MinTokens)
}
}
return validateIntervalPrices(iv, idx)
}
// validateIntervalPrices 校验区间内所有价格字段 >= 0
func validateIntervalPrices(iv *PricingInterval, idx int) error {
prices := []struct {
name string
val *float64
}{
{"input_price", iv.InputPrice},
{"output_price", iv.OutputPrice},
{"cache_write_price", iv.CacheWritePrice},
{"cache_read_price", iv.CacheReadPrice},
{"per_request_price", iv.PerRequestPrice},
}
for _, p := range prices {
if p.val != nil && *p.val < 0 {
return fmt.Errorf("interval #%d: %s must be >= 0", idx+1, p.name)
}
}
return nil
}
// validateIntervalOverlap 校验排序后的区间列表无重叠,且无界区间在最后
func validateIntervalOverlap(sorted []PricingInterval) error {
for i, iv := range sorted {
// 无界区间必须是最后一个
if iv.MaxTokens == nil && i < len(sorted)-1 {
return fmt.Errorf("interval #%d: unbounded interval (max_tokens=null) must be the last one",
i+1)
}
if i == 0 {
continue
}
prev := sorted[i-1]
// 检查重叠:前一个区间的上界 > 当前区间的下界则重叠
// (min, max] 语义prev 覆盖 (prev.Min, prev.Max]cur 覆盖 (cur.Min, cur.Max]
if prev.MaxTokens == nil || *prev.MaxTokens > iv.MinTokens {
return fmt.Errorf("interval #%d and #%d overlap: prev max=%s > cur min=%d",
i, i+1, formatMaxTokensLabel(prev.MaxTokens), iv.MinTokens)
}
}
return nil
}
func formatMaxTokensLabel(max *int) string {
if max == nil {
return "∞"
}
return fmt.Sprintf("%d", *max)
}
// ChannelUsageFields 渠道相关的使用记录字段(嵌入到各平台的 RecordUsageInput 中)
type ChannelUsageFields struct {
ChannelID int64 // 渠道 ID0 = 无渠道)
OriginalModel string // 用户原始请求模型(渠道映射前)
ChannelMappedModel string // 渠道映射后的模型名(无映射时等于 OriginalModel
BillingModelSource string // 计费模型来源:"requested" / "upstream" / "channel_mapped"
ModelMappingChain string // 映射链描述,如 "a→b→c"
}