2026-04-04 11:00:55 +08:00
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package service
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import (
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2026-04-02 20:28:04 +08:00
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"fmt"
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"sort"
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2026-04-04 11:00:55 +08:00
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"strings"
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"time"
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)
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// BillingMode 计费模式
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type BillingMode string
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const (
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BillingModeToken BillingMode = "token" // 按 token 区间计费
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2026-03-30 02:14:30 +08:00
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BillingModePerRequest BillingMode = "per_request" // 按次计费(支持上下文窗口分层)
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BillingModeImage BillingMode = "image" // 图片计费(当前按次,预留 token 计费)
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2026-04-04 11:00:55 +08:00
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)
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// IsValid 检查 BillingMode 是否为合法值
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func (m BillingMode) IsValid() bool {
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switch m {
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case BillingModeToken, BillingModePerRequest, BillingModeImage, "":
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return true
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}
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return false
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}
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2026-03-30 13:26:05 +08:00
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const (
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BillingModelSourceRequested = "requested"
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BillingModelSourceUpstream = "upstream"
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BillingModelSourceChannelMapped = "channel_mapped"
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2026-03-30 13:26:05 +08:00
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)
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2026-04-04 11:00:55 +08:00
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// Channel 渠道实体
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type Channel struct {
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ID int64
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Name string
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Description string
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Status string
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2026-04-01 15:08:57 +08:00
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BillingModelSource string // "requested", "upstream", or "channel_mapped"
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2026-03-30 13:26:05 +08:00
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RestrictModels bool // 是否限制模型(仅允许定价列表中的模型)
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2026-04-05 16:39:24 +08:00
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Features string // 渠道特性描述(JSON 数组),用于支付页面展示
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CreatedAt time.Time
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UpdatedAt time.Time
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2026-04-04 11:00:55 +08:00
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// 关联的分组 ID 列表
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GroupIDs []int64
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// 模型定价列表(每条含 Platform 字段)
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ModelPricing []ChannelModelPricing
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// 渠道级模型映射(按平台分组:platform → {src→dst})
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ModelMapping map[string]map[string]string
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// 账号统计定价
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ApplyPricingToAccountStats bool // 是否应用渠道模型定价到账号统计
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AccountStatsPricingRules []AccountStatsPricingRule // 自定义账号统计定价规则(按 SortOrder 排序,先命中为准)
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feat(gateway): add web search emulation for Anthropic API Key accounts
Inject web search capability for Claude Console (API Key) accounts that
don't natively support Anthropic's web_search tool. When a pure
web_search request is detected, the gateway calls Brave Search or Tavily
API directly and constructs an Anthropic-protocol-compliant SSE/JSON
response without forwarding to upstream.
Backend:
- New `pkg/websearch/` SDK: Brave and Tavily provider implementations
with io.LimitReader, proxy support, and Redis-based quota tracking
(Lua atomic INCR + TTL, DECR rollback on failure)
- Global config via `settings.web_search_emulation_config` (JSON) with
in-process cache + singleflight, input validation, API key merge on
save, and sanitized API responses
- Channel-level toggle via `channels.features_config` JSONB column
(DB migration 101)
- Account-level toggle via `accounts.extra.web_search_emulation`
- Request interception in `Forward()` with SSE streaming response
construction using json.Marshal (no manual string concatenation)
- Manager hot-reload: `RebuildWebSearchManager()` called on config save
and startup via `SetWebSearchRedisClient()`
- 70 unit tests covering providers, manager, config validation,
sanitization, tool detection, query extraction, and response building
Frontend:
- Settings → Gateway tab: Web Search Emulation config card with global
toggle, provider list (add/remove, API key, priority, quota, proxy)
- Channels → Anthropic tab: web search emulation toggle with global
state linkage (disabled when global off)
- Account Create/Edit modals: web search emulation toggle for API Key
type with Toggle component
- Full i18n coverage (zh + en)
2026-04-12 00:02:26 +08:00
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}
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2026-04-11 23:39:49 +08:00
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// AccountStatsPricingRule 账号统计定价规则
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// 每条规则包含匹配条件(分组/账号)和独立的模型定价。
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// 多条规则按 SortOrder 排序,先命中为准。
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type AccountStatsPricingRule struct {
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ID int64
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ChannelID int64
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Name string
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GroupIDs []int64
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AccountIDs []int64
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SortOrder int
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Pricing []ChannelModelPricing // 规则内的模型定价(复用现有定价结构)
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CreatedAt time.Time
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UpdatedAt time.Time
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2026-04-04 11:00:55 +08:00
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}
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// ChannelModelPricing 渠道模型定价条目
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type ChannelModelPricing struct {
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ID int64
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ChannelID int64
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2026-04-01 01:51:19 +08:00
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Platform string // 所属平台(anthropic/openai/gemini/...)
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Models []string // 绑定的模型列表
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BillingMode BillingMode // 计费模式
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InputPrice *float64 // 每 token 输入价格(USD)— 向后兼容 flat 定价
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OutputPrice *float64 // 每 token 输出价格(USD)
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CacheWritePrice *float64 // 缓存写入价格
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CacheReadPrice *float64 // 缓存读取价格
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ImageOutputPrice *float64 // 图片输出价格(向后兼容)
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PerRequestPrice *float64 // 默认按次计费价格(USD)
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Intervals []PricingInterval // 区间定价列表
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CreatedAt time.Time
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UpdatedAt time.Time
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}
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// PricingInterval 定价区间(token 区间 / 按次分层 / 图片分辨率分层)
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type PricingInterval struct {
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ID int64
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PricingID int64
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MinTokens int // 区间下界(含)
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MaxTokens *int // 区间上界(不含),nil = 无上限
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TierLabel string // 层级标签(按次/图片模式:1K, 2K, 4K, HD 等)
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InputPrice *float64 // token 模式:每 token 输入价
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OutputPrice *float64 // token 模式:每 token 输出价
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CacheWritePrice *float64 // token 模式:缓存写入价
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CacheReadPrice *float64 // token 模式:缓存读取价
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PerRequestPrice *float64 // 按次/图片模式:每次请求价格
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SortOrder int
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CreatedAt time.Time
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UpdatedAt time.Time
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}
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// IsActive 判断渠道是否启用
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func (c *Channel) IsActive() bool {
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return c.Status == StatusActive
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}
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// GetModelPricing 根据模型名查找渠道定价,未找到返回 nil。
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// 精确匹配,大小写不敏感。返回值拷贝,不污染缓存。
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func (c *Channel) GetModelPricing(model string) *ChannelModelPricing {
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modelLower := strings.ToLower(model)
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for i := range c.ModelPricing {
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for _, m := range c.ModelPricing[i].Models {
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if strings.ToLower(m) == modelLower {
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cp := c.ModelPricing[i].Clone()
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return &cp
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}
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}
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}
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return nil
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}
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// FindMatchingInterval 在区间列表中查找匹配 totalTokens 的区间。
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2026-03-30 02:24:54 +08:00
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// 区间为左开右闭 (min, max]:min 不含,max 包含。
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// 第一个区间 min=0 时,0 token 不匹配任何区间(回退到默认价格)。
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func FindMatchingInterval(intervals []PricingInterval, totalTokens int) *PricingInterval {
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for i := range intervals {
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iv := &intervals[i]
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if totalTokens > iv.MinTokens && (iv.MaxTokens == nil || totalTokens <= *iv.MaxTokens) {
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return iv
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}
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}
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return nil
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}
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// GetIntervalForContext 根据总 context token 数查找匹配的区间。
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func (p *ChannelModelPricing) GetIntervalForContext(totalTokens int) *PricingInterval {
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return FindMatchingInterval(p.Intervals, totalTokens)
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}
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// GetTierByLabel 根据标签查找层级(用于 per_request / image 模式)
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func (p *ChannelModelPricing) GetTierByLabel(label string) *PricingInterval {
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labelLower := strings.ToLower(label)
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for i := range p.Intervals {
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if strings.ToLower(p.Intervals[i].TierLabel) == labelLower {
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return &p.Intervals[i]
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}
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}
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return nil
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}
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// Clone 返回 ChannelModelPricing 的拷贝(切片独立,指针字段共享,调用方只读安全)
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func (p ChannelModelPricing) Clone() ChannelModelPricing {
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cp := p
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if p.Models != nil {
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cp.Models = make([]string, len(p.Models))
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copy(cp.Models, p.Models)
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}
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if p.Intervals != nil {
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cp.Intervals = make([]PricingInterval, len(p.Intervals))
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copy(cp.Intervals, p.Intervals)
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}
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return cp
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}
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// Clone 返回 Channel 的深拷贝
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func (c *Channel) Clone() *Channel {
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if c == nil {
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return nil
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}
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cp := *c
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if c.GroupIDs != nil {
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cp.GroupIDs = make([]int64, len(c.GroupIDs))
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copy(cp.GroupIDs, c.GroupIDs)
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}
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if c.ModelPricing != nil {
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cp.ModelPricing = make([]ChannelModelPricing, len(c.ModelPricing))
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for i := range c.ModelPricing {
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cp.ModelPricing[i] = c.ModelPricing[i].Clone()
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}
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}
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if c.ModelMapping != nil {
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cp.ModelMapping = make(map[string]map[string]string, len(c.ModelMapping))
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for platform, mapping := range c.ModelMapping {
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inner := make(map[string]string, len(mapping))
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for k, v := range mapping {
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inner[k] = v
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}
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cp.ModelMapping[platform] = inner
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}
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}
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2026-04-13 13:59:35 +08:00
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if c.FeaturesConfig != nil {
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cp.FeaturesConfig = deepCopyFeaturesConfig(c.FeaturesConfig)
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}
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if c.AccountStatsPricingRules != nil {
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cp.AccountStatsPricingRules = make([]AccountStatsPricingRule, len(c.AccountStatsPricingRules))
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for i, rule := range c.AccountStatsPricingRules {
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cp.AccountStatsPricingRules[i] = rule
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if rule.GroupIDs != nil {
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cp.AccountStatsPricingRules[i].GroupIDs = make([]int64, len(rule.GroupIDs))
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copy(cp.AccountStatsPricingRules[i].GroupIDs, rule.GroupIDs)
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}
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if rule.AccountIDs != nil {
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cp.AccountStatsPricingRules[i].AccountIDs = make([]int64, len(rule.AccountIDs))
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copy(cp.AccountStatsPricingRules[i].AccountIDs, rule.AccountIDs)
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}
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if rule.Pricing != nil {
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cp.AccountStatsPricingRules[i].Pricing = make([]ChannelModelPricing, len(rule.Pricing))
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for j := range rule.Pricing {
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cp.AccountStatsPricingRules[i].Pricing[j] = rule.Pricing[j].Clone()
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}
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}
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}
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}
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return &cp
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}
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2026-04-01 01:51:19 +08:00
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2026-04-13 13:59:35 +08:00
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// deepCopyFeaturesConfig creates a deep copy of FeaturesConfig to prevent cache pollution.
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func deepCopyFeaturesConfig(src map[string]any) map[string]any {
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dst := make(map[string]any, len(src))
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for k, v := range src {
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if inner, ok := v.(map[string]any); ok {
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dst[k] = deepCopyFeaturesConfig(inner)
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} else {
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dst[k] = v
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}
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}
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return dst
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}
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2026-04-02 20:28:04 +08:00
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// ValidateIntervals 校验区间列表的合法性。
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// 规则:MinTokens >= 0;MaxTokens 若非 nil 则 > 0 且 > MinTokens;
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// 所有价格字段 >= 0;区间按 MinTokens 排序后无重叠((min, max] 语义);
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// 无界区间(MaxTokens=nil)必须是最后一个。间隙允许(回退默认价格)。
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func ValidateIntervals(intervals []PricingInterval) error {
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if len(intervals) == 0 {
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return nil
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}
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sorted := make([]PricingInterval, len(intervals))
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copy(sorted, intervals)
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sort.Slice(sorted, func(i, j int) bool {
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return sorted[i].MinTokens < sorted[j].MinTokens
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})
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for i := range sorted {
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if err := validateSingleInterval(&sorted[i], i); err != nil {
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return err
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}
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}
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return validateIntervalOverlap(sorted)
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}
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// validateSingleInterval 校验单个区间的字段合法性
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func validateSingleInterval(iv *PricingInterval, idx int) error {
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if iv.MinTokens < 0 {
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return fmt.Errorf("interval #%d: min_tokens (%d) must be >= 0", idx+1, iv.MinTokens)
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}
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if iv.MaxTokens != nil {
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if *iv.MaxTokens <= 0 {
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return fmt.Errorf("interval #%d: max_tokens (%d) must be > 0", idx+1, *iv.MaxTokens)
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}
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if *iv.MaxTokens <= iv.MinTokens {
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return fmt.Errorf("interval #%d: max_tokens (%d) must be > min_tokens (%d)",
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idx+1, *iv.MaxTokens, iv.MinTokens)
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}
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}
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return validateIntervalPrices(iv, idx)
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}
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// validateIntervalPrices 校验区间内所有价格字段 >= 0
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func validateIntervalPrices(iv *PricingInterval, idx int) error {
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prices := []struct {
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name string
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val *float64
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}{
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{"input_price", iv.InputPrice},
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{"output_price", iv.OutputPrice},
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{"cache_write_price", iv.CacheWritePrice},
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{"cache_read_price", iv.CacheReadPrice},
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{"per_request_price", iv.PerRequestPrice},
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}
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for _, p := range prices {
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if p.val != nil && *p.val < 0 {
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return fmt.Errorf("interval #%d: %s must be >= 0", idx+1, p.name)
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}
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}
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return nil
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}
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// validateIntervalOverlap 校验排序后的区间列表无重叠,且无界区间在最后
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func validateIntervalOverlap(sorted []PricingInterval) error {
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for i, iv := range sorted {
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// 无界区间必须是最后一个
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if iv.MaxTokens == nil && i < len(sorted)-1 {
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return fmt.Errorf("interval #%d: unbounded interval (max_tokens=null) must be the last one",
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i+1)
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}
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if i == 0 {
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continue
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}
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prev := sorted[i-1]
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// 检查重叠:前一个区间的上界 > 当前区间的下界则重叠
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// (min, max] 语义:prev 覆盖 (prev.Min, prev.Max],cur 覆盖 (cur.Min, cur.Max]
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if prev.MaxTokens == nil || *prev.MaxTokens > iv.MinTokens {
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return fmt.Errorf("interval #%d and #%d overlap: prev max=%s > cur min=%d",
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i, i+1, formatMaxTokensLabel(prev.MaxTokens), iv.MinTokens)
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}
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}
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return nil
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}
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func formatMaxTokensLabel(max *int) string {
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if max == nil {
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return "∞"
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}
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return fmt.Sprintf("%d", *max)
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}
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2026-04-01 01:51:19 +08:00
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// ChannelUsageFields 渠道相关的使用记录字段(嵌入到各平台的 RecordUsageInput 中)
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type ChannelUsageFields struct {
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ChannelID int64 // 渠道 ID(0 = 无渠道)
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OriginalModel string // 用户原始请求模型(渠道映射前)
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2026-04-01 15:08:57 +08:00
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ChannelMappedModel string // 渠道映射后的模型名(无映射时等于 OriginalModel)
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BillingModelSource string // 计费模型来源:"requested" / "upstream" / "channel_mapped"
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2026-04-01 01:51:19 +08:00
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ModelMappingChain string // 映射链描述,如 "a→b→c"
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}
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