mirror of
https://github.com/Wei-Shaw/sub2api.git
synced 2026-10-15 23:22:59 +08:00
Address gaps found in adversarial verification of the in-flight balance reservation: - Early release: the reservation is now a ref-counted handle carried on the request context. Billing tasks submitted via submit*UsageRecordTask take a ref and return it only after RecordUsage has run; with reservation enabled the balance cache is deducted synchronously inside the billing task, so the reservation is released only after admission can see the deduction. Dropped tasks return their ref immediately. The reservation is renewed every ttl/3 while the handler runs; after the handler returns it is no longer renewed, so the post-handler hold is bounded by one TTL. - Estimate: use the same billing model (channel mapping + BillingModelSource, max over requested/mapped when ambiguous) and ModelPricingResolver (group ModelPricing incl. wildcards, channel per_request/image/video/token overrides), default/group/user rate + peak multiplier, plus image, video, audio and search surcharge kinds. Unpriced requests fail open with a throttled log; new billing.inflight_reservation.fail_closed_on_unpriced (default false) rejects them instead. - Wire images, embeddings, web/x search, alpha search, grok media generation, grok realtime/voice, OpenAI-platform /v1/messages and ResponsesWebSocket (session-level reservation with renewal). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
308 lines
11 KiB
Go
308 lines
11 KiB
Go
package handler
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import (
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"context"
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"errors"
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"net/http"
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"strconv"
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"strings"
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"time"
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pkghttputil "github.com/Wei-Shaw/sub2api/internal/pkg/httputil"
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"github.com/Wei-Shaw/sub2api/internal/pkg/ip"
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"github.com/Wei-Shaw/sub2api/internal/pkg/logger"
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middleware2 "github.com/Wei-Shaw/sub2api/internal/server/middleware"
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"github.com/Wei-Shaw/sub2api/internal/service"
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"github.com/gin-gonic/gin"
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"github.com/tidwall/gjson"
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"go.uber.org/zap"
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)
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// Embeddings handles the OpenAI-compatible Embeddings API.
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// POST /v1/embeddings
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func (h *OpenAIGatewayHandler) Embeddings(c *gin.Context) {
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streamStarted := false
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requestStart := time.Now()
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apiKey, ok := middleware2.GetAPIKeyFromContext(c)
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if !ok {
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h.errorResponse(c, http.StatusUnauthorized, "authentication_error", "Invalid API key")
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return
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}
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subject, ok := middleware2.GetAuthSubjectFromContext(c)
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if !ok {
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h.errorResponse(c, http.StatusInternalServerError, "api_error", "User context not found")
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return
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}
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reqLog := requestLogger(
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c,
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"handler.openai_gateway.embeddings",
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zap.Int64("user_id", subject.UserID),
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zap.Int64("api_key_id", apiKey.ID),
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zap.Any("group_id", apiKey.GroupID),
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)
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if !h.ensureResponsesDependencies(c, reqLog) {
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return
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}
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body, err := pkghttputil.ReadRequestBodyWithPrealloc(c.Request)
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if err != nil {
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if maxErr, ok := extractMaxBytesError(err); ok {
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h.errorResponse(c, http.StatusRequestEntityTooLarge, "invalid_request_error", buildBodyTooLargeMessage(maxErr.Limit))
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return
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}
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h.errorResponse(c, http.StatusBadRequest, "invalid_request_error", "Failed to read request body")
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return
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}
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if len(body) == 0 {
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h.errorResponse(c, http.StatusBadRequest, "invalid_request_error", "Request body is empty")
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return
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}
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if !gjson.ValidBytes(body) {
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logRequestBodyParseFailure(reqLog, body, nil)
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h.errorResponse(c, http.StatusBadRequest, "invalid_request_error", "Failed to parse request body")
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return
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}
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modelResult := gjson.GetBytes(body, "model")
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if !modelResult.Exists() || modelResult.Type != gjson.String || strings.TrimSpace(modelResult.String()) == "" {
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h.errorResponse(c, http.StatusBadRequest, "invalid_request_error", "model is required")
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return
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}
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reqModel := modelResult.String()
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ensureCompositeTargetPlatform(c, apiKey, reqModel)
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if !compositeTargetPlatformAllowed(c, apiKey, reqModel, service.PlatformOpenAI) {
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h.errorResponse(c, http.StatusBadRequest, "invalid_request_error", "Model is not supported by this OpenAI-compatible endpoint for composite groups")
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return
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}
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reqLog = reqLog.With(zap.String("model", reqModel))
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setOpsRequestContext(c, reqModel, false)
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setOpsEndpointContext(c, "", int16(service.RequestTypeSync))
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if decision := h.checkSecurityAudit(c, reqLog, apiKey, subject, "openai_embeddings", reqModel, body); decision != nil && !decision.AllowNextStage {
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h.openAISecurityAuditError(c, decision)
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return
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}
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channelMapping, _ := h.gatewayService.ResolveChannelMappingAndRestrict(c.Request.Context(), apiKey.GroupID, reqModel)
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forwardModel := openAIChannelForwardModel(channelMapping, reqModel)
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subscription, _ := middleware2.GetSubscriptionFromContext(c)
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service.SetOpsLatencyMs(c, service.OpsAuthLatencyMsKey, time.Since(requestStart).Milliseconds())
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userReleaseFunc, acquired := h.acquireResponsesUserSlot(c, subject.UserID, subject.Concurrency, false, &streamStarted, reqLog)
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if !acquired {
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return
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}
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if userReleaseFunc != nil {
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defer userReleaseFunc()
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}
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if err := h.billingCacheService.CheckBillingEligibility(c.Request.Context(), apiKey.User, apiKey, apiKey.Group, subscription, service.QuotaPlatform(c.Request.Context(), apiKey)); err != nil {
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reqLog.Info("openai_embeddings.billing_check_failed", zap.Error(err))
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status, code, message, retryAfter := billingErrorDetails(err)
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if retryAfter > 0 {
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c.Header("Retry-After", strconv.Itoa(retryAfter))
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}
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h.errorResponse(c, status, code, message)
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return
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}
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// 余额模式在途预留(与计费同口径估算;计费任务扣减余额缓存后才释放)。
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inflightDone, inflightErr := reserveInflightBalance(c, h.billingCacheService, h.gatewayService, apiKey, subscription, service.InflightEstimateRequest{Model: reqModel, BodyBytes: len(body), MaxTokens: 1, Kind: service.InflightEstimateToken})
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if inflightErr != nil {
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status, code, message, retryAfter := billingErrorDetails(inflightErr)
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if retryAfter > 0 {
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c.Header("Retry-After", strconv.Itoa(retryAfter))
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}
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h.errorResponse(c, status, code, message)
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return
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}
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defer inflightDone()
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profitVetoCount := 0
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failedAccountIDs := make(map[int64]struct{})
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var lastFailoverErr *service.UpstreamFailoverError
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switchCount := 0
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maxAccountSwitches := h.maxAccountSwitches
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if maxAccountSwitches <= 0 {
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maxAccountSwitches = 3
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}
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routingStart := time.Now()
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// 分组利润控制:embeddings 文本入口请求级装门并固定 pricingAt。
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embPricingCtx, pricingAt := h.gatewayService.WithOpenAIRequestPricingContext(c.Request.Context(), apiKey.GroupID)
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c.Request = c.Request.WithContext(embPricingCtx)
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for {
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selection, _, err := h.gatewayService.SelectAccountWithSchedulerForCapability(
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c.Request.Context(),
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apiKey.GroupID,
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"",
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"",
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forwardModel,
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failedAccountIDs,
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service.OpenAIUpstreamTransportHTTPSSE,
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service.OpenAIEndpointCapabilityEmbeddings,
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false,
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false,
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true,
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)
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if err != nil {
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if failoverClientGone(c) {
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reqLog.Info("openai_embeddings.account_select_aborted_client_disconnected", zap.Error(err))
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return
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}
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reqLog.Warn("openai_embeddings.account_select_failed",
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zap.Error(err),
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zap.Int("excluded_account_count", len(failedAccountIDs)),
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)
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if len(failedAccountIDs) == 0 {
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cls := classifyNoAccountErrorFromGin(c, h.gatewayService, apiKey, reqModel, reqModel, service.PlatformOpenAI)
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if !cls.ModelNotFound {
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markOpsRoutingCapacityLimitedIfNoAvailable(c, err)
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}
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h.errorResponse(c, cls.Status, cls.ErrType, cls.Message)
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return
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}
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if lastFailoverErr != nil {
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h.handleFailoverExhausted(c, lastFailoverErr, false)
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} else {
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h.errorResponse(c, http.StatusBadGateway, "api_error", "Upstream request failed")
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}
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return
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}
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if selection == nil || selection.Account == nil {
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cls := classifyNoAccountErrorFromGin(c, h.gatewayService, apiKey, reqModel, reqModel, service.PlatformOpenAI)
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if !cls.ModelNotFound {
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markOpsRoutingCapacityLimited(c)
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}
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h.errorResponse(c, cls.Status, cls.ErrType, cls.Message)
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return
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}
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account := selection.Account
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setOpsSelectedAccount(c, account.ID, account.Platform)
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accountReleaseFunc, slotResult := h.acquireResponsesAccountSlot(c, apiKey.GroupID, "", selection, false, &streamStarted, reqLog)
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if slotResult == openAISlotAcquireProfitVetoed {
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// 利润终检否决:排除该账号重新选号;否决次数达上限则按无可用账号终止。
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if !recordOpenAIProfitVeto(failedAccountIDs, account.ID, &profitVetoCount) {
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h.handleOpenAIProfitVetoExhausted(c, streamStarted, reqLog, profitVetoCount)
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return
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}
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continue
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}
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if slotResult != openAISlotAcquireOK {
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return
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}
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service.SetOpsLatencyMs(c, service.OpsRoutingLatencyMsKey, time.Since(routingStart).Milliseconds())
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forwardStart := time.Now()
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forwardBody := body
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if channelMapping.Mapped {
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forwardBody = h.gatewayService.ReplaceModelInBody(body, channelMapping.MappedModel)
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}
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writerSizeBeforeForward := c.Writer.Size()
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result, err := func() (*service.OpenAIForwardResult, error) {
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defer func() {
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if accountReleaseFunc != nil {
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accountReleaseFunc()
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}
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}()
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return h.gatewayService.ForwardEmbeddings(c.Request.Context(), c, account, forwardBody, "")
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}()
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forwardDurationMs := time.Since(forwardStart).Milliseconds()
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upstreamLatencyMs, _ := getContextInt64(c, service.OpsUpstreamLatencyMsKey)
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responseLatencyMs := forwardDurationMs
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if upstreamLatencyMs > 0 && forwardDurationMs > upstreamLatencyMs {
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responseLatencyMs = forwardDurationMs - upstreamLatencyMs
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}
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service.SetOpsLatencyMs(c, service.OpsResponseLatencyMsKey, responseLatencyMs)
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if err != nil {
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var failoverErr *service.UpstreamFailoverError
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if errors.As(err, &failoverErr) {
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if c.Writer.Size() != writerSizeBeforeForward {
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h.handleFailoverExhausted(c, failoverErr, true)
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return
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}
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h.gatewayService.ReportOpenAIAccountScheduleResult(account, openAIAccountScheduleModel(c, account, reqModel, false, result), false, nil, err)
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if failoverClientGone(c) {
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reqLog.Info("openai_embeddings.failover_aborted_client_disconnected",
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zap.Int64("account_id", account.ID),
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zap.Int("upstream_status", failoverErr.StatusCode),
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)
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return
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}
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h.gatewayService.RecordOpenAIAccountSwitch()
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failedAccountIDs[account.ID] = struct{}{}
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lastFailoverErr = failoverErr
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if switchCount >= maxAccountSwitches {
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h.handleFailoverExhausted(c, failoverErr, false)
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return
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}
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switchCount++
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reqLog.Warn("openai_embeddings.upstream_failover_switching",
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zap.Int64("account_id", account.ID),
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zap.Int("upstream_status", failoverErr.StatusCode),
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zap.Int("switch_count", switchCount),
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zap.Int("max_switches", maxAccountSwitches),
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)
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continue
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}
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h.gatewayService.ReportOpenAIAccountScheduleResult(account, openAIAccountScheduleModel(c, account, reqModel, false, result), false, nil, err)
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if c.Writer.Size() == writerSizeBeforeForward {
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h.errorResponse(c, http.StatusBadGateway, "upstream_error", "Upstream request failed")
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}
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reqLog.Warn("openai_embeddings.forward_failed",
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zap.Int64("account_id", account.ID),
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zap.Error(err),
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)
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return
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}
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h.gatewayService.ReportOpenAIAccountScheduleResult(account, openAIAccountScheduleModel(c, account, reqModel, false, result), true, nil)
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userAgent := c.GetHeader("User-Agent")
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clientIP := ip.GetClientIP(c)
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inboundEndpoint := GetInboundEndpoint(c)
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upstreamEndpoint := GetUpstreamEndpoint(c, account.Platform)
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quotaPlatform := service.QuotaPlatform(c.Request.Context(), apiKey)
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sessionID := service.ExtractClientSessionID(c)
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h.submitOpenAIUsageRecordTask(c.Request.Context(), result, func(ctx context.Context) {
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if err := h.gatewayService.RecordUsage(ctx, &service.OpenAIRecordUsageInput{
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Result: result,
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APIKey: apiKey,
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User: apiKey.User,
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Account: account,
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Subscription: subscription,
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InboundEndpoint: inboundEndpoint,
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UpstreamEndpoint: upstreamEndpoint,
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UserAgent: userAgent,
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IPAddress: clientIP,
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APIKeyService: h.apiKeyService,
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QuotaPlatform: quotaPlatform,
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SessionID: sessionID,
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ChannelUsageFields: clientRequestedUsageFields(c, channelMapping, reqModel, result.UpstreamModel),
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PricingAt: pricingAt,
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}); err != nil {
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logger.L().With(
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zap.String("component", "handler.openai_gateway.embeddings"),
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zap.Int64("user_id", subject.UserID),
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zap.Int64("api_key_id", apiKey.ID),
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zap.Any("group_id", apiKey.GroupID),
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zap.String("model", reqModel),
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zap.Int64("account_id", account.ID),
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).Error("openai_embeddings.record_usage_failed", zap.Error(err))
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}
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})
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reqLog.Debug("openai_embeddings.request_completed",
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zap.Int64("account_id", account.ID),
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zap.Int("switch_count", switchCount),
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)
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return
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}
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}
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