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2863 lines
98 KiB
Go
2863 lines
98 KiB
Go
package service
|
||
|
||
import (
|
||
"container/heap"
|
||
"context"
|
||
"errors"
|
||
"fmt"
|
||
"hash/fnv"
|
||
"log/slog"
|
||
"math"
|
||
"sort"
|
||
"strconv"
|
||
"strings"
|
||
"sync"
|
||
"sync/atomic"
|
||
"time"
|
||
|
||
"github.com/Wei-Shaw/sub2api/internal/config"
|
||
"golang.org/x/sync/singleflight"
|
||
)
|
||
|
||
const (
|
||
openAIAccountScheduleLayerPreviousResponse = "previous_response_id"
|
||
openAIAccountScheduleLayerSessionSticky = "session_hash"
|
||
openAIAccountScheduleLayerLoadBalance = "load_balance"
|
||
openAIAdvancedSchedulerSettingKey = "openai_advanced_scheduler_enabled"
|
||
)
|
||
|
||
const (
|
||
openAIAdvancedSchedulerSettingCacheTTL = 5 * time.Second
|
||
openAIAdvancedSchedulerSettingDBTimeout = 2 * time.Second
|
||
// ponytail: cap probes added when cost ordering expands configured Top-K;
|
||
// use bulk acquisition if a measured workload needs a higher ceiling.
|
||
openAIAccountSelectionProbeLimit = 64
|
||
)
|
||
|
||
const (
|
||
openAIQuotaHeadroomNeutralFactor = 0.5
|
||
openAIQuotaHeadroomSecondaryLowRemain = 0.10
|
||
openAIQuotaHeadroomSnapshotStaleAfter = 8 * time.Hour
|
||
openAIUpstreamCostNeutralFactor = 0.5
|
||
defaultOpenAIOAuthSchedulingRateMultiplier = 1.0
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||
)
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||
|
||
type cachedOpenAIAdvancedSchedulerSetting struct {
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||
lowUpstreamRatePriorityEnabled bool
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||
oauthSchedulingRateMultiplier float64
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||
enabled bool
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||
stickyWeightedEnabled bool
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||
subscriptionPriorityEnabled bool
|
||
lbTopKOverride int
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||
weightOverrides map[string]float64
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||
expiresAt int64
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||
}
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type openAIAdvancedSchedulerRuntimeSettings struct {
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||
lowUpstreamRatePriorityEnabled bool
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oauthSchedulingRateMultiplier float64
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||
enabled bool
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||
stickyWeightedEnabled bool
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subscriptionPriorityEnabled bool
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||
lbTopKOverride int
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||
weightOverrides map[string]float64
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||
}
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||
|
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var openAIAdvancedSchedulerSettingCache atomic.Value // *cachedOpenAIAdvancedSchedulerSetting
|
||
var openAIAdvancedSchedulerSettingSF singleflight.Group
|
||
|
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type OpenAIAccountScheduleRequest struct {
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||
GroupID *int64
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||
Platform string
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SessionHash string
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||
StickyAccountID int64
|
||
StickyPreviousAccountID int64
|
||
StickyWeighted bool
|
||
SubscriptionPriority bool
|
||
PreserveStickyBinding bool
|
||
PreviousResponseID string
|
||
PreviousResponseCanMove bool
|
||
UseUpstreamTokenCost bool
|
||
RequestedModel string
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||
RequiredTransport OpenAIUpstreamTransport
|
||
RequiredCapability OpenAIEndpointCapability
|
||
RequiredImageCapability OpenAIImagesCapability
|
||
// RequireCompact is only for legacy /responses/compact capability filtering
|
||
// and compact_model_mapping; native remote compaction v2 leaves it false.
|
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RequireCompact bool
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ExcludedIDs map[int64]struct{}
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||
}
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|
||
type OpenAIAccountScheduleDecision struct {
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||
Layer string
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StickyPreviousHit bool
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||
StickySessionHit bool
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||
CandidateCount int
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||
TopK int
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||
LatencyMs int64
|
||
LoadSkew float64
|
||
SelectedAccountID int64
|
||
SelectedAccountType string
|
||
}
|
||
|
||
type OpenAIAccountSchedulerMetricsSnapshot struct {
|
||
SelectTotal int64
|
||
StickyPreviousHitTotal int64
|
||
StickySessionHitTotal int64
|
||
LoadBalanceSelectTotal int64
|
||
AccountSwitchTotal int64
|
||
SchedulerLatencyMsTotal int64
|
||
SchedulerLatencyMsAvg float64
|
||
StickyHitRatio float64
|
||
AccountSwitchRate float64
|
||
LoadSkewAvg float64
|
||
RuntimeStatsAccountCount int
|
||
}
|
||
|
||
type OpenAIAccountScheduler interface {
|
||
Select(ctx context.Context, req OpenAIAccountScheduleRequest) (*AccountSelectionResult, OpenAIAccountScheduleDecision, error)
|
||
ReportResult(accountID int64, success bool, firstTokenMs *int)
|
||
ReportSwitch()
|
||
SnapshotMetrics() OpenAIAccountSchedulerMetricsSnapshot
|
||
}
|
||
|
||
type openAIAccountSchedulerMetrics struct {
|
||
selectTotal atomic.Int64
|
||
stickyPreviousHitTotal atomic.Int64
|
||
stickySessionHitTotal atomic.Int64
|
||
loadBalanceSelectTotal atomic.Int64
|
||
accountSwitchTotal atomic.Int64
|
||
latencyMsTotal atomic.Int64
|
||
loadSkewMilliTotal atomic.Int64
|
||
}
|
||
|
||
type openAIAccountLoadPlan struct {
|
||
allCandidates []openAIAccountCandidateScore
|
||
candidates []openAIAccountCandidateScore
|
||
staleSnapshotCompactRetry []openAIAccountCandidateScore
|
||
selectionOrder []openAIAccountCandidateScore
|
||
candidateCount int
|
||
topK int
|
||
loadSkew float64
|
||
includeOverflowFallback bool
|
||
}
|
||
|
||
type openAIAccountLoadSelectionAttempt struct {
|
||
result *AccountSelectionResult
|
||
selectionOrder []openAIAccountCandidateScore
|
||
candidateCount int
|
||
topK int
|
||
loadSkew float64
|
||
compactBlocked bool
|
||
noCompactCandidates bool
|
||
err error
|
||
}
|
||
|
||
func (m *openAIAccountSchedulerMetrics) recordSelect(decision OpenAIAccountScheduleDecision) {
|
||
if m == nil {
|
||
return
|
||
}
|
||
m.selectTotal.Add(1)
|
||
m.latencyMsTotal.Add(decision.LatencyMs)
|
||
m.loadSkewMilliTotal.Add(int64(math.Round(decision.LoadSkew * 1000)))
|
||
if decision.StickyPreviousHit {
|
||
m.stickyPreviousHitTotal.Add(1)
|
||
}
|
||
if decision.StickySessionHit {
|
||
m.stickySessionHitTotal.Add(1)
|
||
}
|
||
if decision.Layer == openAIAccountScheduleLayerLoadBalance {
|
||
m.loadBalanceSelectTotal.Add(1)
|
||
}
|
||
}
|
||
|
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func (m *openAIAccountSchedulerMetrics) recordSwitch() {
|
||
if m == nil {
|
||
return
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}
|
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m.accountSwitchTotal.Add(1)
|
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}
|
||
|
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type openAIAccountRuntimeStats struct {
|
||
accounts sync.Map
|
||
accountCount atomic.Int64
|
||
}
|
||
|
||
type openAIAccountRuntimeStat struct {
|
||
errorRateEWMABits atomic.Uint64
|
||
ttftEWMABits atomic.Uint64
|
||
}
|
||
|
||
func newOpenAIAccountRuntimeStats() *openAIAccountRuntimeStats {
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||
return &openAIAccountRuntimeStats{}
|
||
}
|
||
|
||
func (s *openAIAccountRuntimeStats) loadOrCreate(accountID int64) *openAIAccountRuntimeStat {
|
||
if value, ok := s.accounts.Load(accountID); ok {
|
||
stat, _ := value.(*openAIAccountRuntimeStat)
|
||
if stat != nil {
|
||
return stat
|
||
}
|
||
}
|
||
|
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stat := &openAIAccountRuntimeStat{}
|
||
stat.ttftEWMABits.Store(math.Float64bits(math.NaN()))
|
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actual, loaded := s.accounts.LoadOrStore(accountID, stat)
|
||
if !loaded {
|
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s.accountCount.Add(1)
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||
return stat
|
||
}
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existing, _ := actual.(*openAIAccountRuntimeStat)
|
||
if existing != nil {
|
||
return existing
|
||
}
|
||
return stat
|
||
}
|
||
|
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func updateEWMAAtomic(target *atomic.Uint64, sample float64, alpha float64) {
|
||
for {
|
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oldBits := target.Load()
|
||
oldValue := math.Float64frombits(oldBits)
|
||
newValue := alpha*sample + (1-alpha)*oldValue
|
||
if target.CompareAndSwap(oldBits, math.Float64bits(newValue)) {
|
||
return
|
||
}
|
||
}
|
||
}
|
||
|
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func (s *openAIAccountRuntimeStats) report(accountID int64, success bool, firstTokenMs *int) {
|
||
if s == nil || accountID <= 0 {
|
||
return
|
||
}
|
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const alpha = 0.2
|
||
stat := s.loadOrCreate(accountID)
|
||
|
||
errorSample := 1.0
|
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if success {
|
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errorSample = 0.0
|
||
}
|
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updateEWMAAtomic(&stat.errorRateEWMABits, errorSample, alpha)
|
||
|
||
if firstTokenMs != nil && *firstTokenMs > 0 {
|
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ttft := float64(*firstTokenMs)
|
||
ttftBits := math.Float64bits(ttft)
|
||
for {
|
||
oldBits := stat.ttftEWMABits.Load()
|
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oldValue := math.Float64frombits(oldBits)
|
||
if math.IsNaN(oldValue) {
|
||
if stat.ttftEWMABits.CompareAndSwap(oldBits, ttftBits) {
|
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break
|
||
}
|
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continue
|
||
}
|
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newValue := alpha*ttft + (1-alpha)*oldValue
|
||
if stat.ttftEWMABits.CompareAndSwap(oldBits, math.Float64bits(newValue)) {
|
||
break
|
||
}
|
||
}
|
||
}
|
||
}
|
||
|
||
func (s *openAIAccountRuntimeStats) snapshot(accountID int64) (errorRate float64, ttft float64, hasTTFT bool) {
|
||
if s == nil || accountID <= 0 {
|
||
return 0, 0, false
|
||
}
|
||
value, ok := s.accounts.Load(accountID)
|
||
if !ok {
|
||
return 0, 0, false
|
||
}
|
||
stat, _ := value.(*openAIAccountRuntimeStat)
|
||
if stat == nil {
|
||
return 0, 0, false
|
||
}
|
||
errorRate = clamp01(math.Float64frombits(stat.errorRateEWMABits.Load()))
|
||
ttftValue := math.Float64frombits(stat.ttftEWMABits.Load())
|
||
if math.IsNaN(ttftValue) {
|
||
return errorRate, 0, false
|
||
}
|
||
return errorRate, ttftValue, true
|
||
}
|
||
|
||
func (s *openAIAccountRuntimeStats) size() int {
|
||
if s == nil {
|
||
return 0
|
||
}
|
||
return int(s.accountCount.Load())
|
||
}
|
||
|
||
type defaultOpenAIAccountScheduler struct {
|
||
service *OpenAIGatewayService
|
||
metrics openAIAccountSchedulerMetrics
|
||
stats *openAIAccountRuntimeStats
|
||
grokFreeQuotaGateCache sync.Map // key: int64(accountID), value: grokFreeQuotaGateCacheEntry
|
||
}
|
||
|
||
type openAISelectionProbeBudget struct {
|
||
acquires int
|
||
rechecks int
|
||
attempted map[int64]struct{}
|
||
limited bool
|
||
}
|
||
|
||
func newOpenAISelectionProbeBudget() *openAISelectionProbeBudget {
|
||
return &openAISelectionProbeBudget{attempted: make(map[int64]struct{})}
|
||
}
|
||
|
||
func (b *openAISelectionProbeBudget) enableLimit() {
|
||
if b != nil {
|
||
b.limited = true
|
||
}
|
||
}
|
||
|
||
func (b *openAISelectionProbeBudget) recordAcquire(accountID int64) bool {
|
||
if b == nil {
|
||
return false
|
||
}
|
||
if !b.limited {
|
||
return true
|
||
}
|
||
if b.acquires >= openAIAccountSelectionProbeLimit {
|
||
return false
|
||
}
|
||
if b.attempted == nil {
|
||
b.attempted = make(map[int64]struct{})
|
||
}
|
||
b.acquires++
|
||
b.attempted[accountID] = struct{}{}
|
||
return true
|
||
}
|
||
|
||
func (b *openAISelectionProbeBudget) recordRecheck() bool {
|
||
if b == nil {
|
||
return false
|
||
}
|
||
if !b.limited {
|
||
return true
|
||
}
|
||
if b.rechecks >= openAIAccountSelectionProbeLimit {
|
||
return false
|
||
}
|
||
b.rechecks++
|
||
return true
|
||
}
|
||
|
||
func (b *openAISelectionProbeBudget) acquireExhausted() bool {
|
||
return b != nil && b.limited && b.acquires >= openAIAccountSelectionProbeLimit
|
||
}
|
||
|
||
func (b *openAISelectionProbeBudget) wasAttempted(accountID int64) bool {
|
||
if b == nil {
|
||
return false
|
||
}
|
||
_, ok := b.attempted[accountID]
|
||
return ok
|
||
}
|
||
|
||
type openAIStickyEscapeConfig struct {
|
||
enabled bool
|
||
ttftMs float64
|
||
errorRate float64
|
||
}
|
||
|
||
func newDefaultOpenAIAccountScheduler(service *OpenAIGatewayService, stats *openAIAccountRuntimeStats) OpenAIAccountScheduler {
|
||
if stats == nil {
|
||
stats = newOpenAIAccountRuntimeStats()
|
||
}
|
||
return &defaultOpenAIAccountScheduler{
|
||
service: service,
|
||
stats: stats,
|
||
}
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) Select(
|
||
ctx context.Context,
|
||
req OpenAIAccountScheduleRequest,
|
||
) (*AccountSelectionResult, OpenAIAccountScheduleDecision, error) {
|
||
decision := OpenAIAccountScheduleDecision{}
|
||
start := time.Now()
|
||
defer func() {
|
||
decision.LatencyMs = time.Since(start).Milliseconds()
|
||
s.metrics.recordSelect(decision)
|
||
}()
|
||
|
||
previousResponseID := strings.TrimSpace(req.PreviousResponseID)
|
||
if previousResponseID != "" && NormalizeOpenAICompatiblePlatform(req.Platform) == PlatformOpenAI &&
|
||
(!req.StickyWeighted || !req.PreviousResponseCanMove) {
|
||
selection, err := s.service.selectAccountByPreviousResponseIDForCapability(
|
||
ctx,
|
||
req.GroupID,
|
||
previousResponseID,
|
||
req.RequestedModel,
|
||
req.ExcludedIDs,
|
||
req.RequiredCapability,
|
||
req.RequireCompact,
|
||
)
|
||
if err != nil {
|
||
return nil, decision, err
|
||
}
|
||
if selection != nil && selection.Account != nil {
|
||
if !s.isAccountTransportCompatible(selection.Account, req.RequiredTransport) {
|
||
if selection.ReleaseFunc != nil {
|
||
selection.ReleaseFunc()
|
||
}
|
||
selection = nil
|
||
}
|
||
}
|
||
if selection != nil && selection.Account != nil {
|
||
decision.Layer = openAIAccountScheduleLayerPreviousResponse
|
||
decision.StickyPreviousHit = true
|
||
decision.SelectedAccountID = selection.Account.ID
|
||
decision.SelectedAccountType = selection.Account.Type
|
||
if req.SessionHash != "" {
|
||
_ = s.service.bindOpenAIStickySessionDuringSelection(ctx, req.GroupID, req.SessionHash, selection.Account.ID)
|
||
}
|
||
return selection, decision, nil
|
||
}
|
||
}
|
||
|
||
if !req.StickyWeighted {
|
||
selection, escapedSticky, err := s.selectBySessionHash(ctx, req)
|
||
if err != nil {
|
||
return nil, decision, err
|
||
}
|
||
if selection != nil && selection.Account != nil {
|
||
decision.Layer = openAIAccountScheduleLayerSessionSticky
|
||
decision.StickySessionHit = true
|
||
decision.SelectedAccountID = selection.Account.ID
|
||
decision.SelectedAccountType = selection.Account.Type
|
||
return selection, decision, nil
|
||
}
|
||
if escapedSticky {
|
||
req.PreserveStickyBinding = true
|
||
}
|
||
}
|
||
|
||
selection, candidateCount, topK, loadSkew, err := s.selectByLoadBalance(ctx, req)
|
||
decision.Layer = openAIAccountScheduleLayerLoadBalance
|
||
decision.CandidateCount = candidateCount
|
||
decision.TopK = topK
|
||
decision.LoadSkew = loadSkew
|
||
if err != nil {
|
||
return nil, decision, err
|
||
}
|
||
if selection != nil && selection.Account != nil {
|
||
decision.SelectedAccountID = selection.Account.ID
|
||
decision.SelectedAccountType = selection.Account.Type
|
||
if req.StickyWeighted {
|
||
if req.StickyPreviousAccountID > 0 && selection.Account.ID == req.StickyPreviousAccountID {
|
||
decision.StickyPreviousHit = true
|
||
}
|
||
if req.StickyAccountID > 0 && selection.Account.ID == req.StickyAccountID {
|
||
decision.StickySessionHit = true
|
||
}
|
||
}
|
||
}
|
||
return selection, decision, nil
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) selectBySessionHash(
|
||
ctx context.Context,
|
||
req OpenAIAccountScheduleRequest,
|
||
) (*AccountSelectionResult, bool, error) {
|
||
sessionHash := strings.TrimSpace(req.SessionHash)
|
||
if sessionHash == "" || s == nil || s.service == nil || s.service.cache == nil {
|
||
return nil, false, nil
|
||
}
|
||
|
||
accountID := req.StickyAccountID
|
||
if accountID <= 0 {
|
||
var err error
|
||
accountID, err = s.service.getStickySessionAccountID(ctx, req.GroupID, sessionHash)
|
||
if err != nil || accountID <= 0 {
|
||
return nil, false, nil
|
||
}
|
||
}
|
||
if accountID <= 0 {
|
||
return nil, false, nil
|
||
}
|
||
if req.ExcludedIDs != nil {
|
||
if _, excluded := req.ExcludedIDs[accountID]; excluded {
|
||
return nil, false, nil
|
||
}
|
||
}
|
||
|
||
account, err := s.service.getSchedulableAccount(ctx, accountID)
|
||
if err != nil || account == nil {
|
||
_ = s.service.deleteStickySessionAccountID(ctx, req.GroupID, sessionHash)
|
||
return nil, false, nil
|
||
}
|
||
if shouldClearStickySession(account, req.RequestedModel) || account.Platform != NormalizeOpenAICompatiblePlatform(req.Platform) || !account.IsOpenAICompatible() || !account.IsSchedulable() {
|
||
_ = s.service.deleteStickySessionAccountID(ctx, req.GroupID, sessionHash)
|
||
return nil, false, nil
|
||
}
|
||
if !s.isAccountRequestCompatible(ctx, account, req) {
|
||
return nil, false, nil
|
||
}
|
||
if !s.isAccountTransportCompatible(account, req.RequiredTransport) {
|
||
_ = s.service.deleteStickySessionAccountID(ctx, req.GroupID, sessionHash)
|
||
return nil, false, nil
|
||
}
|
||
account = s.service.recheckSelectedOpenAIAccountFromDB(ctx, account, req.GroupID, req.Platform, req.RequestedModel, req.RequireCompact, req.RequiredCapability)
|
||
if account == nil || !s.service.openAIAccountMatchesSchedulingGroup(account, req.GroupID) || !s.isAccountTransportCompatible(account, req.RequiredTransport) {
|
||
_ = s.service.deleteStickySessionAccountID(ctx, req.GroupID, sessionHash)
|
||
return nil, false, nil
|
||
}
|
||
// Free-tier soft gate: sticky session must not pin an over-quota free OAuth account.
|
||
// Admin QueryQuota / import probes do not use this path.
|
||
if account != nil && len(s.filterGrokFreeQuotaAccounts(ctx, []Account{*account})) == 0 {
|
||
_ = s.service.deleteStickySessionAccountID(ctx, req.GroupID, sessionHash)
|
||
return nil, false, nil
|
||
}
|
||
// Team+model cool: sticky must not pin a sibling under the same team 429 window.
|
||
now := time.Now()
|
||
upstreamModel := canonicalOpenAIAccountSchedulingModel(account, req.RequestedModel)
|
||
if account != nil && isGrokTeamModelRateLimited(account, upstreamModel, now) {
|
||
_ = s.service.deleteStickySessionAccountID(ctx, req.GroupID, sessionHash)
|
||
return nil, false, nil
|
||
}
|
||
if account != nil && isGrokModelQuotaBlocked(account.ID, upstreamModel, now) {
|
||
_ = s.service.deleteStickySessionAccountID(ctx, req.GroupID, sessionHash)
|
||
return nil, false, nil
|
||
}
|
||
escapeCfg := s.service.openAIStickyEscapeConfig()
|
||
if reason, errorRate, ttft, shouldEscape := s.shouldEscapeStickyAccount(accountID, escapeCfg); shouldEscape {
|
||
slog.Info("sticky_escape_triggered",
|
||
"account_id", accountID,
|
||
"reason", reason,
|
||
"error_rate", errorRate,
|
||
"ttft", ttft,
|
||
)
|
||
return nil, true, nil
|
||
}
|
||
result, acquireErr := s.service.tryAcquireAccountSlot(ctx, accountID, account.Concurrency)
|
||
if acquireErr == nil && result != nil && result.Acquired {
|
||
_ = s.service.refreshStickySessionTTL(ctx, req.GroupID, sessionHash, s.service.openAIWSSessionStickyTTL())
|
||
return attachSelectionProfitGate(ctx, &AccountSelectionResult{
|
||
Account: account,
|
||
Acquired: true,
|
||
ReleaseFunc: result.ReleaseFunc,
|
||
}), false, nil
|
||
}
|
||
|
||
cfg := s.service.schedulingConfig()
|
||
// WaitPlan.MaxConcurrency 使用 Concurrency(非 EffectiveLoadFactor),因为 WaitPlan 控制的是 Redis 实际并发槽位等待。
|
||
if s.service.concurrencyService != nil {
|
||
if escapeCfg.enabled && acquireErr == nil && result != nil && !result.Acquired {
|
||
errorRate, ttft, _ := s.stats.snapshot(accountID)
|
||
slog.Info("sticky_escape_triggered",
|
||
"account_id", accountID,
|
||
"reason", "concurrency_full",
|
||
"error_rate", errorRate,
|
||
"ttft", ttft,
|
||
)
|
||
return nil, true, nil
|
||
}
|
||
return attachSelectionProfitGate(ctx, &AccountSelectionResult{
|
||
Account: account,
|
||
WaitPlan: &AccountWaitPlan{
|
||
AccountID: accountID,
|
||
MaxConcurrency: account.Concurrency,
|
||
Timeout: cfg.StickySessionWaitTimeout,
|
||
MaxWaiting: cfg.StickySessionMaxWaiting,
|
||
},
|
||
}), false, nil
|
||
}
|
||
return nil, false, nil
|
||
}
|
||
|
||
func openAIStickyAccountMatchesGroup(account *Account, groupID *int64) bool {
|
||
if account == nil {
|
||
return false
|
||
}
|
||
if groupID == nil {
|
||
return len(account.AccountGroups) == 0 && len(account.GroupIDs) == 0
|
||
}
|
||
for _, accountGroupID := range account.GroupIDs {
|
||
if accountGroupID == *groupID {
|
||
return true
|
||
}
|
||
}
|
||
for _, accountGroup := range account.AccountGroups {
|
||
if accountGroup.GroupID == *groupID {
|
||
return true
|
||
}
|
||
}
|
||
return false
|
||
}
|
||
|
||
func openAIAccountSchedulingPriority(account *Account) int {
|
||
if account == nil {
|
||
return 0
|
||
}
|
||
return account.Priority
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) shouldEscapeStickyAccount(accountID int64, cfg openAIStickyEscapeConfig) (reason string, errorRate float64, ttft float64, shouldEscape bool) {
|
||
if !cfg.enabled || s == nil || s.stats == nil || accountID <= 0 {
|
||
return "", 0, 0, false
|
||
}
|
||
errorRate, ttft, hasTTFT := s.stats.snapshot(accountID)
|
||
if hasTTFT && ttft > cfg.ttftMs {
|
||
return "ttft", errorRate, ttft, true
|
||
}
|
||
if errorRate > cfg.errorRate {
|
||
return "error_rate", errorRate, ttft, true
|
||
}
|
||
return "", errorRate, ttft, false
|
||
}
|
||
|
||
type openAIAccountCandidateScore struct {
|
||
account *Account
|
||
loadInfo *AccountLoadInfo
|
||
loadKnown bool
|
||
score float64
|
||
priority int
|
||
errorRate float64
|
||
ttft float64
|
||
hasTTFT bool
|
||
}
|
||
|
||
type openAIAccountCandidateHeap []openAIAccountCandidateScore
|
||
|
||
func (h openAIAccountCandidateHeap) Len() int {
|
||
return len(h)
|
||
}
|
||
|
||
func (h openAIAccountCandidateHeap) Less(i, j int) bool {
|
||
// 最小堆根节点保存“最差”候选,便于 O(log k) 维护 topK。
|
||
return isOpenAIAccountCandidateBetter(h[j], h[i])
|
||
}
|
||
|
||
func (h openAIAccountCandidateHeap) Swap(i, j int) {
|
||
h[i], h[j] = h[j], h[i]
|
||
}
|
||
|
||
func (h *openAIAccountCandidateHeap) Push(x any) {
|
||
candidate, ok := x.(openAIAccountCandidateScore)
|
||
if !ok {
|
||
panic("openAIAccountCandidateHeap: invalid element type")
|
||
}
|
||
*h = append(*h, candidate)
|
||
}
|
||
|
||
func (h *openAIAccountCandidateHeap) Pop() any {
|
||
old := *h
|
||
n := len(old)
|
||
last := old[n-1]
|
||
*h = old[:n-1]
|
||
return last
|
||
}
|
||
|
||
func isOpenAIAccountCandidateBetter(left openAIAccountCandidateScore, right openAIAccountCandidateScore) bool {
|
||
if left.score != right.score {
|
||
return left.score > right.score
|
||
}
|
||
if left.account.Priority != right.account.Priority {
|
||
return left.account.Priority < right.account.Priority
|
||
}
|
||
if left.loadInfo.LoadRate != right.loadInfo.LoadRate {
|
||
return left.loadInfo.LoadRate < right.loadInfo.LoadRate
|
||
}
|
||
if left.loadInfo.WaitingCount != right.loadInfo.WaitingCount {
|
||
return left.loadInfo.WaitingCount < right.loadInfo.WaitingCount
|
||
}
|
||
return left.account.ID < right.account.ID
|
||
}
|
||
|
||
func selectTopKOpenAICandidates(candidates []openAIAccountCandidateScore, topK int) []openAIAccountCandidateScore {
|
||
if len(candidates) == 0 {
|
||
return nil
|
||
}
|
||
if topK <= 0 {
|
||
topK = 1
|
||
}
|
||
if topK >= len(candidates) {
|
||
ranked := append([]openAIAccountCandidateScore(nil), candidates...)
|
||
sort.Slice(ranked, func(i, j int) bool {
|
||
return isOpenAIAccountCandidateBetter(ranked[i], ranked[j])
|
||
})
|
||
return ranked
|
||
}
|
||
|
||
best := make(openAIAccountCandidateHeap, 0, topK)
|
||
for _, candidate := range candidates {
|
||
if len(best) < topK {
|
||
heap.Push(&best, candidate)
|
||
continue
|
||
}
|
||
if isOpenAIAccountCandidateBetter(candidate, best[0]) {
|
||
best[0] = candidate
|
||
heap.Fix(&best, 0)
|
||
}
|
||
}
|
||
|
||
ranked := make([]openAIAccountCandidateScore, len(best))
|
||
copy(ranked, best)
|
||
sort.Slice(ranked, func(i, j int) bool {
|
||
return isOpenAIAccountCandidateBetter(ranked[i], ranked[j])
|
||
})
|
||
return ranked
|
||
}
|
||
|
||
type openAISelectionRNG struct {
|
||
state uint64
|
||
}
|
||
|
||
func newOpenAISelectionRNG(seed uint64) openAISelectionRNG {
|
||
if seed == 0 {
|
||
seed = 0x9e3779b97f4a7c15
|
||
}
|
||
return openAISelectionRNG{state: seed}
|
||
}
|
||
|
||
func (r *openAISelectionRNG) nextUint64() uint64 {
|
||
// xorshift64*
|
||
x := r.state
|
||
x ^= x >> 12
|
||
x ^= x << 25
|
||
x ^= x >> 27
|
||
r.state = x
|
||
return x * 2685821657736338717
|
||
}
|
||
|
||
func (r *openAISelectionRNG) nextFloat64() float64 {
|
||
// [0,1)
|
||
return float64(r.nextUint64()>>11) / (1 << 53)
|
||
}
|
||
|
||
func deriveOpenAISelectionSeed(req OpenAIAccountScheduleRequest) uint64 {
|
||
hasher := fnv.New64a()
|
||
writeValue := func(value string) {
|
||
trimmed := strings.TrimSpace(value)
|
||
if trimmed == "" {
|
||
return
|
||
}
|
||
_, _ = hasher.Write([]byte(trimmed))
|
||
_, _ = hasher.Write([]byte{0})
|
||
}
|
||
|
||
writeValue(req.SessionHash)
|
||
writeValue(req.PreviousResponseID)
|
||
writeValue(req.RequestedModel)
|
||
if req.GroupID != nil {
|
||
_, _ = hasher.Write([]byte(strconv.FormatInt(*req.GroupID, 10)))
|
||
}
|
||
|
||
seed := hasher.Sum64()
|
||
// 对“无会话锚点”的纯负载均衡请求引入时间熵,避免固定命中同一账号。
|
||
if strings.TrimSpace(req.SessionHash) == "" && strings.TrimSpace(req.PreviousResponseID) == "" {
|
||
seed ^= uint64(time.Now().UnixNano())
|
||
}
|
||
if seed == 0 {
|
||
seed = uint64(time.Now().UnixNano()) ^ 0x9e3779b97f4a7c15
|
||
}
|
||
return seed
|
||
}
|
||
|
||
func buildOpenAIWeightedSelectionOrder(
|
||
candidates []openAIAccountCandidateScore,
|
||
req OpenAIAccountScheduleRequest,
|
||
) []openAIAccountCandidateScore {
|
||
if len(candidates) <= 1 {
|
||
return append([]openAIAccountCandidateScore(nil), candidates...)
|
||
}
|
||
|
||
pool := append([]openAIAccountCandidateScore(nil), candidates...)
|
||
weights := make([]float64, len(pool))
|
||
minScore := pool[0].score
|
||
for i := 1; i < len(pool); i++ {
|
||
if pool[i].score < minScore {
|
||
minScore = pool[i].score
|
||
}
|
||
}
|
||
for i := range pool {
|
||
// 将 top-K 分值平移到正区间,避免“单一最高分账号”长期垄断。
|
||
weight := (pool[i].score - minScore) + 1.0
|
||
if math.IsNaN(weight) || math.IsInf(weight, 0) || weight <= 0 {
|
||
weight = 1.0
|
||
}
|
||
weights[i] = weight
|
||
}
|
||
|
||
order := make([]openAIAccountCandidateScore, 0, len(pool))
|
||
rng := newOpenAISelectionRNG(deriveOpenAISelectionSeed(req))
|
||
for len(pool) > 0 {
|
||
total := 0.0
|
||
for _, w := range weights {
|
||
total += w
|
||
}
|
||
|
||
selectedIdx := 0
|
||
if total > 0 {
|
||
r := rng.nextFloat64() * total
|
||
acc := 0.0
|
||
for i, w := range weights {
|
||
acc += w
|
||
if r <= acc {
|
||
selectedIdx = i
|
||
break
|
||
}
|
||
}
|
||
} else {
|
||
selectedIdx = int(rng.nextUint64() % uint64(len(pool)))
|
||
}
|
||
|
||
order = append(order, pool[selectedIdx])
|
||
pool = append(pool[:selectedIdx], pool[selectedIdx+1:]...)
|
||
weights = append(weights[:selectedIdx], weights[selectedIdx+1:]...)
|
||
}
|
||
return order
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) buildOpenAIAccountLoadPlan(
|
||
ctx context.Context,
|
||
req OpenAIAccountScheduleRequest,
|
||
filtered []*Account,
|
||
loadMap map[int64]*AccountLoadInfo,
|
||
) openAIAccountLoadPlan {
|
||
allCandidates := make([]openAIAccountCandidateScore, 0, len(filtered))
|
||
for _, account := range filtered {
|
||
loadInfo, loadKnown := loadMap[account.ID]
|
||
if !loadKnown || loadInfo == nil {
|
||
loadInfo = &AccountLoadInfo{AccountID: account.ID}
|
||
loadKnown = false
|
||
}
|
||
errorRate, ttft, hasTTFT := 0.0, 0.0, false
|
||
if s.stats != nil {
|
||
errorRate, ttft, hasTTFT = s.stats.snapshot(account.ID)
|
||
}
|
||
allCandidates = append(allCandidates, openAIAccountCandidateScore{
|
||
account: account,
|
||
loadInfo: loadInfo,
|
||
loadKnown: loadKnown,
|
||
errorRate: errorRate,
|
||
ttft: ttft,
|
||
hasTTFT: hasTTFT,
|
||
})
|
||
}
|
||
|
||
candidates := allCandidates
|
||
staleSnapshotCompactRetry := make([]openAIAccountCandidateScore, 0, len(allCandidates))
|
||
if req.RequireCompact {
|
||
candidates = make([]openAIAccountCandidateScore, 0, len(allCandidates))
|
||
for _, candidate := range allCandidates {
|
||
if openAICompactSupportTier(candidate.account) == 0 {
|
||
staleSnapshotCompactRetry = append(staleSnapshotCompactRetry, candidate)
|
||
continue
|
||
}
|
||
candidates = append(candidates, candidate)
|
||
}
|
||
}
|
||
|
||
plan := openAIAccountLoadPlan{
|
||
allCandidates: allCandidates,
|
||
candidates: candidates,
|
||
staleSnapshotCompactRetry: staleSnapshotCompactRetry,
|
||
candidateCount: len(candidates),
|
||
}
|
||
if len(candidates) == 0 {
|
||
plan.selectionOrder = s.buildOpenAISelectionOrder(req, plan)
|
||
return plan
|
||
}
|
||
|
||
minPriority, maxPriority := openAIAccountSchedulingPriority(candidates[0].account), openAIAccountSchedulingPriority(candidates[0].account)
|
||
maxWaiting := 1
|
||
loadRateSum := 0.0
|
||
loadRateSumSquares := 0.0
|
||
minTTFT, maxTTFT := 0.0, 0.0
|
||
hasTTFTSample := false
|
||
for i := range candidates {
|
||
candidate := &candidates[i]
|
||
candidate.priority = openAIAccountSchedulingPriority(candidate.account)
|
||
if candidate.priority < minPriority {
|
||
minPriority = candidate.priority
|
||
}
|
||
if candidate.priority > maxPriority {
|
||
maxPriority = candidate.priority
|
||
}
|
||
if candidate.loadInfo.WaitingCount > maxWaiting {
|
||
maxWaiting = candidate.loadInfo.WaitingCount
|
||
}
|
||
if candidate.hasTTFT && candidate.ttft > 0 {
|
||
if !hasTTFTSample {
|
||
minTTFT, maxTTFT = candidate.ttft, candidate.ttft
|
||
hasTTFTSample = true
|
||
} else {
|
||
if candidate.ttft < minTTFT {
|
||
minTTFT = candidate.ttft
|
||
}
|
||
if candidate.ttft > maxTTFT {
|
||
maxTTFT = candidate.ttft
|
||
}
|
||
}
|
||
}
|
||
loadRate := float64(candidate.loadInfo.LoadRate)
|
||
loadRateSum += loadRate
|
||
loadRateSumSquares += loadRate * loadRate
|
||
}
|
||
plan.loadSkew = calcLoadSkewByMoments(loadRateSum, loadRateSumSquares, len(candidates))
|
||
|
||
weights := s.service.openAIWSSchedulerWeightsForRequest(ctx)
|
||
now := time.Now()
|
||
upstreamCostFactors := map[int64]float64(nil)
|
||
if req.UseUpstreamTokenCost && weights.UpstreamCost > 0 {
|
||
accounts := make([]*Account, 0, len(candidates))
|
||
for _, candidate := range candidates {
|
||
accounts = append(accounts, candidate.account)
|
||
}
|
||
upstreamCostFactors = openAIUpstreamCostFactors(accounts, now, s.service.openAIOAuthSchedulingRateMultiplier(ctx))
|
||
for _, factor := range upstreamCostFactors {
|
||
if factor != openAIUpstreamCostNeutralFactor {
|
||
plan.includeOverflowFallback = true
|
||
break
|
||
}
|
||
}
|
||
}
|
||
|
||
// Reset 因子(use-it-or-lose-it):在拥有「未来会话窗口结束时间」的账号中,
|
||
// 剩余时间越短 → 因子越接近 1(越早重置越优先用尽)。无活跃窗口的账号因子为 0。
|
||
// 仅在 weights.Reset > 0 时计算,默认关闭不影响原有行为。
|
||
minResetRemaining, maxResetRemaining := 0.0, 0.0
|
||
hasResetSample := false
|
||
if weights.Reset > 0 {
|
||
for _, candidate := range candidates {
|
||
end := candidate.account.SessionWindowEnd
|
||
if end == nil || !now.Before(*end) {
|
||
continue
|
||
}
|
||
remaining := end.Sub(now).Seconds()
|
||
if !hasResetSample {
|
||
minResetRemaining, maxResetRemaining = remaining, remaining
|
||
hasResetSample = true
|
||
continue
|
||
}
|
||
if remaining < minResetRemaining {
|
||
minResetRemaining = remaining
|
||
}
|
||
if remaining > maxResetRemaining {
|
||
maxResetRemaining = remaining
|
||
}
|
||
}
|
||
}
|
||
|
||
for i := range candidates {
|
||
item := &candidates[i]
|
||
priorityFactor := 1.0
|
||
if maxPriority > minPriority {
|
||
priorityFactor = 1 - float64(item.priority-minPriority)/float64(maxPriority-minPriority)
|
||
}
|
||
loadFactor := 1 - clamp01(float64(item.loadInfo.LoadRate)/100.0)
|
||
queueFactor := 1 - clamp01(float64(item.loadInfo.WaitingCount)/float64(maxWaiting))
|
||
errorFactor := 1 - clamp01(item.errorRate)
|
||
ttftFactor := 0.5
|
||
if item.hasTTFT && hasTTFTSample && maxTTFT > minTTFT {
|
||
ttftFactor = 1 - clamp01((item.ttft-minTTFT)/(maxTTFT-minTTFT))
|
||
}
|
||
resetFactor := 0.0
|
||
if weights.Reset > 0 && hasResetSample {
|
||
if end := item.account.SessionWindowEnd; end != nil && now.Before(*end) {
|
||
if maxResetRemaining > minResetRemaining {
|
||
resetFactor = 1 - clamp01((end.Sub(now).Seconds()-minResetRemaining)/(maxResetRemaining-minResetRemaining))
|
||
} else {
|
||
// 所有有窗口的账号剩余时间相同:一律给满分,让其优于无窗口账号。
|
||
resetFactor = 1
|
||
}
|
||
}
|
||
}
|
||
quotaHeadroomFactor := 0.0
|
||
if weights.QuotaHeadroom > 0 {
|
||
quotaHeadroomFactor = openAIQuotaHeadroomFactor(item.account, now)
|
||
}
|
||
upstreamCostFactor := openAIUpstreamCostNeutralFactor
|
||
if factor, ok := upstreamCostFactors[item.account.ID]; ok {
|
||
upstreamCostFactor = factor
|
||
}
|
||
|
||
item.score = weights.Priority*priorityFactor +
|
||
weights.Load*loadFactor +
|
||
weights.Queue*queueFactor +
|
||
weights.ErrorRate*errorFactor +
|
||
weights.TTFT*ttftFactor +
|
||
weights.Reset*resetFactor +
|
||
weights.QuotaHeadroom*quotaHeadroomFactor +
|
||
weights.UpstreamCost*(upstreamCostFactor-openAIUpstreamCostNeutralFactor)
|
||
if req.StickyWeighted {
|
||
if req.PreviousResponseCanMove && req.StickyPreviousAccountID > 0 && item.account.ID == req.StickyPreviousAccountID {
|
||
item.score += weights.Previous
|
||
}
|
||
if req.StickyAccountID > 0 && item.account.ID == req.StickyAccountID {
|
||
item.score += weights.SessionSticky
|
||
}
|
||
}
|
||
}
|
||
plan.candidates = candidates
|
||
|
||
plan.topK = s.service.openAIWSLBTopKForRequest(ctx)
|
||
if plan.topK > len(candidates) {
|
||
plan.topK = len(candidates)
|
||
}
|
||
if plan.topK <= 0 {
|
||
plan.topK = 1
|
||
}
|
||
|
||
plan.selectionOrder = s.buildOpenAISelectionOrder(req, plan)
|
||
return plan
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) buildOpenAISelectionOrder(
|
||
req OpenAIAccountScheduleRequest,
|
||
plan openAIAccountLoadPlan,
|
||
) []openAIAccountCandidateScore {
|
||
buildSelectionOrder := func(pool []openAIAccountCandidateScore) []openAIAccountCandidateScore {
|
||
if len(pool) == 0 || plan.topK <= 0 {
|
||
return nil
|
||
}
|
||
groupTopK := plan.topK
|
||
if groupTopK > len(pool) {
|
||
groupTopK = len(pool)
|
||
}
|
||
ranked := selectTopKOpenAICandidates(pool, groupTopK)
|
||
var primary []openAIAccountCandidateScore
|
||
if req.StickyWeighted {
|
||
for _, stickyID := range []int64{req.StickyPreviousAccountID, req.StickyAccountID} {
|
||
if stickyID <= 0 {
|
||
continue
|
||
}
|
||
for i, candidate := range ranked {
|
||
if candidate.account != nil && candidate.account.ID == stickyID {
|
||
primary = append([]openAIAccountCandidateScore{candidate}, ranked[:i]...)
|
||
primary = append(primary, ranked[i+1:]...)
|
||
break
|
||
}
|
||
}
|
||
if len(primary) > 0 {
|
||
break
|
||
}
|
||
}
|
||
}
|
||
if len(primary) == 0 {
|
||
primary = buildOpenAIWeightedSelectionOrder(ranked, req)
|
||
}
|
||
if !plan.includeOverflowFallback || groupTopK >= len(pool) {
|
||
return primary
|
||
}
|
||
|
||
selected := make(map[int64]struct{}, len(primary))
|
||
for _, candidate := range primary {
|
||
selected[candidate.account.ID] = struct{}{}
|
||
}
|
||
overflow := make([]openAIAccountCandidateScore, 0, len(pool)-len(primary))
|
||
for _, candidate := range pool {
|
||
if _, ok := selected[candidate.account.ID]; !ok {
|
||
overflow = append(overflow, candidate)
|
||
}
|
||
}
|
||
sort.Slice(overflow, func(i, j int) bool {
|
||
return isOpenAIAccountCandidateBetter(overflow[i], overflow[j])
|
||
})
|
||
return append(primary, overflow...)
|
||
}
|
||
|
||
if req.RequireCompact {
|
||
supported := make([]openAIAccountCandidateScore, 0, len(plan.candidates))
|
||
unknown := make([]openAIAccountCandidateScore, 0, len(plan.candidates))
|
||
for _, candidate := range plan.candidates {
|
||
switch openAICompactSupportTier(candidate.account) {
|
||
case 2:
|
||
supported = append(supported, candidate)
|
||
case 1:
|
||
unknown = append(unknown, candidate)
|
||
}
|
||
}
|
||
selectionOrder := make([]openAIAccountCandidateScore, 0, len(plan.allCandidates))
|
||
selectionOrder = append(selectionOrder, buildSelectionOrder(supported)...)
|
||
selectionOrder = append(selectionOrder, buildSelectionOrder(unknown)...)
|
||
if len(plan.staleSnapshotCompactRetry) > 0 && s.service.schedulerSnapshot != nil {
|
||
selectionOrder = append(selectionOrder, sortOpenAICompactRetryCandidates(plan.staleSnapshotCompactRetry)...)
|
||
}
|
||
return selectionOrder
|
||
}
|
||
|
||
return buildSelectionOrder(plan.candidates)
|
||
}
|
||
|
||
func sortOpenAICompactRetryCandidates(pool []openAIAccountCandidateScore) []openAIAccountCandidateScore {
|
||
if len(pool) == 0 {
|
||
return nil
|
||
}
|
||
ordered := append([]openAIAccountCandidateScore(nil), pool...)
|
||
sort.SliceStable(ordered, func(i, j int) bool {
|
||
a, b := ordered[i], ordered[j]
|
||
if a.account.Priority != b.account.Priority {
|
||
return a.account.Priority < b.account.Priority
|
||
}
|
||
if a.loadInfo.LoadRate != b.loadInfo.LoadRate {
|
||
return a.loadInfo.LoadRate < b.loadInfo.LoadRate
|
||
}
|
||
if a.loadInfo.WaitingCount != b.loadInfo.WaitingCount {
|
||
return a.loadInfo.WaitingCount < b.loadInfo.WaitingCount
|
||
}
|
||
switch {
|
||
case a.account.LastUsedAt == nil && b.account.LastUsedAt != nil:
|
||
return true
|
||
case a.account.LastUsedAt != nil && b.account.LastUsedAt == nil:
|
||
return false
|
||
case a.account.LastUsedAt == nil && b.account.LastUsedAt == nil:
|
||
return false
|
||
default:
|
||
return a.account.LastUsedAt.Before(*b.account.LastUsedAt)
|
||
}
|
||
})
|
||
return ordered
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) tryAcquireOpenAISelectionOrder(
|
||
ctx context.Context,
|
||
req OpenAIAccountScheduleRequest,
|
||
selectionOrder []openAIAccountCandidateScore,
|
||
) (*AccountSelectionResult, bool, error) {
|
||
budget := newOpenAISelectionProbeBudget()
|
||
budget.enableLimit()
|
||
return s.tryAcquireOpenAISelectionOrderWithBudget(ctx, req, selectionOrder, budget)
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) tryAcquireOpenAISelectionOrderWithBudget(
|
||
ctx context.Context,
|
||
req OpenAIAccountScheduleRequest,
|
||
selectionOrder []openAIAccountCandidateScore,
|
||
budget *openAISelectionProbeBudget,
|
||
) (*AccountSelectionResult, bool, error) {
|
||
compactBlocked := false
|
||
release := func(result *AcquireResult) {
|
||
if result != nil && result.ReleaseFunc != nil {
|
||
result.ReleaseFunc()
|
||
}
|
||
}
|
||
for i := 0; i < len(selectionOrder); i++ {
|
||
candidate := selectionOrder[i]
|
||
if candidate.account == nil {
|
||
continue
|
||
}
|
||
if candidate.loadKnown && candidate.account.Concurrency > 0 &&
|
||
candidate.loadInfo.CurrentConcurrency >= candidate.account.Concurrency {
|
||
continue
|
||
}
|
||
|
||
result, attempted, acquireErr := s.tryAcquireOpenAIAccountSlot(ctx, candidate.account.ID, candidate.account.Concurrency, budget)
|
||
if !attempted {
|
||
break
|
||
}
|
||
if acquireErr != nil {
|
||
return nil, compactBlocked, acquireErr
|
||
}
|
||
if result == nil || !result.Acquired {
|
||
continue
|
||
}
|
||
|
||
fresh := s.service.resolveFreshSchedulableOpenAIAccount(ctx, candidate.account, req.Platform, req.RequestedModel, false, req.RequiredCapability)
|
||
if fresh == nil || !s.isAccountTransportCompatible(fresh, req.RequiredTransport) || !s.isAccountRequestCompatible(ctx, fresh, req) {
|
||
release(result)
|
||
continue
|
||
}
|
||
if !s.consumeOpenAISelectionDBRecheck(budget) {
|
||
release(result)
|
||
break
|
||
}
|
||
fresh = s.service.recheckSelectedOpenAIAccountFromDB(ctx, fresh, req.GroupID, req.Platform, req.RequestedModel, false, req.RequiredCapability)
|
||
if fresh == nil || !s.isAccountTransportCompatible(fresh, req.RequiredTransport) || !s.isAccountRequestCompatible(ctx, fresh, req) {
|
||
release(result)
|
||
continue
|
||
}
|
||
if req.RequireCompact && openAICompactSupportTier(fresh) == 0 {
|
||
compactBlocked = true
|
||
release(result)
|
||
continue
|
||
}
|
||
|
||
if fresh.Concurrency != candidate.account.Concurrency {
|
||
release(result)
|
||
result, attempted, acquireErr = s.tryAcquireOpenAIAccountSlot(ctx, fresh.ID, fresh.Concurrency, budget)
|
||
if !attempted {
|
||
continue
|
||
}
|
||
if acquireErr != nil {
|
||
return nil, compactBlocked, acquireErr
|
||
}
|
||
if result == nil || !result.Acquired {
|
||
continue
|
||
}
|
||
}
|
||
if req.SessionHash != "" && !req.PreserveStickyBinding {
|
||
_ = s.service.bindOpenAIStickySessionDuringSelection(ctx, req.GroupID, req.SessionHash, fresh.ID)
|
||
}
|
||
return attachSelectionProfitGate(ctx, &AccountSelectionResult{
|
||
Account: fresh,
|
||
Acquired: true,
|
||
ReleaseFunc: result.ReleaseFunc,
|
||
}), compactBlocked, nil
|
||
}
|
||
return nil, compactBlocked, nil
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) tryAcquireOpenAIAccountSlot(
|
||
ctx context.Context,
|
||
accountID int64,
|
||
maxConcurrency int,
|
||
budget *openAISelectionProbeBudget,
|
||
) (*AcquireResult, bool, error) {
|
||
if s.service.concurrencyService != nil && maxConcurrency > 0 && !budget.recordAcquire(accountID) {
|
||
return nil, false, nil
|
||
}
|
||
result, err := s.service.tryAcquireAccountSlot(ctx, accountID, maxConcurrency)
|
||
return result, true, err
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) consumeOpenAISelectionDBRecheck(budget *openAISelectionProbeBudget) bool {
|
||
if s.service.schedulerSnapshot == nil || s.service.accountRepo == nil {
|
||
return true
|
||
}
|
||
return budget.recordRecheck()
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) tryFallbackToWeightedSticky(
|
||
ctx context.Context,
|
||
req OpenAIAccountScheduleRequest,
|
||
) (*AccountSelectionResult, error) {
|
||
if !req.StickyWeighted {
|
||
return nil, nil
|
||
}
|
||
for _, accountID := range []int64{req.StickyPreviousAccountID, req.StickyAccountID} {
|
||
if accountID <= 0 {
|
||
continue
|
||
}
|
||
if req.ExcludedIDs != nil {
|
||
if _, excluded := req.ExcludedIDs[accountID]; excluded {
|
||
continue
|
||
}
|
||
}
|
||
account, err := s.service.getSchedulableAccount(ctx, accountID)
|
||
if err != nil || account == nil {
|
||
continue
|
||
}
|
||
if !s.isAccountRequestCompatible(ctx, account, req) || !s.isAccountTransportCompatible(account, req.RequiredTransport) {
|
||
continue
|
||
}
|
||
account = s.service.recheckSelectedOpenAIAccountFromDB(ctx, account, req.GroupID, req.Platform, req.RequestedModel, req.RequireCompact, req.RequiredCapability)
|
||
if account == nil {
|
||
if accountID == req.StickyAccountID && strings.TrimSpace(req.SessionHash) != "" {
|
||
_ = s.service.deleteStickySessionAccountID(ctx, req.GroupID, req.SessionHash)
|
||
}
|
||
continue
|
||
}
|
||
if !s.service.openAIAccountMatchesSchedulingGroup(account, req.GroupID) {
|
||
if accountID == req.StickyAccountID && strings.TrimSpace(req.SessionHash) != "" {
|
||
_ = s.service.deleteStickySessionAccountID(ctx, req.GroupID, req.SessionHash)
|
||
}
|
||
continue
|
||
}
|
||
if !s.isAccountRequestCompatible(ctx, account, req) || !s.isAccountTransportCompatible(account, req.RequiredTransport) {
|
||
continue
|
||
}
|
||
if req.RequireCompact && openAICompactSupportTier(account) == 0 {
|
||
continue
|
||
}
|
||
// Keep weighted sticky fallback subject to the same free-tier gate as the
|
||
// normal and sticky selection paths. Otherwise an over-quota free account
|
||
// could be reintroduced after the primary candidate pass.
|
||
if len(s.filterGrokFreeQuotaAccounts(ctx, []Account{*account})) == 0 {
|
||
continue
|
||
}
|
||
upstreamModel := canonicalOpenAIAccountSchedulingModel(account, req.RequestedModel)
|
||
now := time.Now()
|
||
if isGrokTeamModelRateLimited(account, upstreamModel, now) ||
|
||
isGrokModelQuotaBlocked(account.ID, upstreamModel, now) {
|
||
continue
|
||
}
|
||
result, acquireErr := s.service.tryAcquireAccountSlot(ctx, account.ID, account.Concurrency)
|
||
if acquireErr != nil {
|
||
return nil, acquireErr
|
||
}
|
||
if result != nil && result.Acquired {
|
||
if req.SessionHash != "" && !req.PreserveStickyBinding {
|
||
_ = s.service.bindOpenAIStickySessionDuringSelection(ctx, req.GroupID, req.SessionHash, account.ID)
|
||
}
|
||
return attachSelectionProfitGate(ctx, &AccountSelectionResult{
|
||
Account: account,
|
||
Acquired: true,
|
||
ReleaseFunc: result.ReleaseFunc,
|
||
}), nil
|
||
}
|
||
if s.service.concurrencyService != nil {
|
||
cfg := s.service.schedulingConfig()
|
||
return attachSelectionProfitGate(ctx, &AccountSelectionResult{
|
||
Account: account,
|
||
WaitPlan: &AccountWaitPlan{
|
||
AccountID: account.ID,
|
||
MaxConcurrency: account.Concurrency,
|
||
Timeout: cfg.StickySessionWaitTimeout,
|
||
MaxWaiting: cfg.StickySessionMaxWaiting,
|
||
},
|
||
}), nil
|
||
}
|
||
}
|
||
return nil, nil
|
||
}
|
||
|
||
// openAISelectionFilterStats counts why candidates were dropped by the
|
||
// selectByLoadBalance initial filter. Historically these exclusions were
|
||
// silent (debug logs at best), so a "no available accounts" failure with
|
||
// excluded_account_count=0 was undiagnosable from the error alone (#4599).
|
||
// The reasons map is lazily allocated: on the happy path (nothing filtered
|
||
// out, or an account is eventually selected) no extra allocation happens.
|
||
type openAISelectionFilterStats struct {
|
||
pool int
|
||
reasons map[string]int
|
||
}
|
||
|
||
func (s *openAISelectionFilterStats) exclude(reason string) {
|
||
if s.reasons == nil {
|
||
s.reasons = make(map[string]int, 4)
|
||
}
|
||
s.reasons[reason]++
|
||
}
|
||
|
||
// summary renders deterministic exclusion statistics for scheduling error
|
||
// messages, e.g. "pool=3, filtered: model_not_supported=2 quota_auto_pause_7d=1".
|
||
// Reasons are sorted lexicographically so the output is stable for tests and
|
||
// log aggregation. extra, when non-empty, is appended as a trailing marker.
|
||
func (s openAISelectionFilterStats) summary(extra string) string {
|
||
var b strings.Builder
|
||
_, _ = b.WriteString("pool=")
|
||
_, _ = b.WriteString(strconv.Itoa(s.pool))
|
||
if len(s.reasons) > 0 {
|
||
reasons := make([]string, 0, len(s.reasons))
|
||
for reason := range s.reasons {
|
||
reasons = append(reasons, reason)
|
||
}
|
||
sort.Strings(reasons)
|
||
_, _ = b.WriteString(", filtered:")
|
||
for _, reason := range reasons {
|
||
_, _ = b.WriteString(" ")
|
||
_, _ = b.WriteString(reason)
|
||
_, _ = b.WriteString("=")
|
||
_, _ = b.WriteString(strconv.Itoa(s.reasons[reason]))
|
||
}
|
||
}
|
||
if extra != "" {
|
||
_, _ = b.WriteString(", ")
|
||
_, _ = b.WriteString(extra)
|
||
}
|
||
return b.String()
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) selectByLoadBalance(
|
||
ctx context.Context,
|
||
req OpenAIAccountScheduleRequest,
|
||
) (*AccountSelectionResult, int, int, float64, error) {
|
||
budget := newOpenAISelectionProbeBudget()
|
||
accounts, err := s.service.listSchedulableAccounts(ctx, req.GroupID, req.Platform)
|
||
if err != nil {
|
||
return nil, 0, 0, 0, err
|
||
}
|
||
if len(accounts) == 0 {
|
||
return nil, 0, 0, 0, noAvailableOpenAISelectionError(req.RequestedModel, false, openAISelectionFilterStats{}.summary(""))
|
||
}
|
||
// Local free-tier soft gate on the Grok scheduling path only (not admin probe).
|
||
accounts = s.filterGrokFreeQuotaAccounts(ctx, accounts)
|
||
if len(accounts) == 0 {
|
||
return nil, 0, 0, 0, noAvailableOpenAISelectionError(req.RequestedModel, false, openAISelectionFilterStats{}.summary("grok_free_quota_soft_gate"))
|
||
}
|
||
// Team+model rate-limit cool: siblings of a 429'd team skip the hot model.
|
||
if req.Platform == PlatformGrok {
|
||
now := time.Now()
|
||
filtered := filterGrokTeamModelRateLimitedAccounts(accounts, req.RequestedModel, now)
|
||
if len(filtered) == 0 && len(accounts) > 0 {
|
||
return nil, 0, 0, 0, noAvailableOpenAISelectionError(req.RequestedModel, false, openAISelectionFilterStats{}.summary("grok_team_model_rate_limit"))
|
||
}
|
||
if filtered != nil {
|
||
accounts = filtered
|
||
}
|
||
// Per-account model free-usage soft-block (other models stay eligible).
|
||
modelFiltered := filterGrokModelQuotaBlockedAccounts(accounts, req.RequestedModel, now)
|
||
if len(modelFiltered) == 0 && len(accounts) > 0 {
|
||
return nil, 0, 0, 0, noAvailableOpenAISelectionError(req.RequestedModel, false, openAISelectionFilterStats{}.summary("grok_model_quota_block"))
|
||
}
|
||
accounts = modelFiltered
|
||
}
|
||
|
||
// require_privacy_set: 获取分组信息
|
||
var schedGroup *Group
|
||
if req.GroupID != nil && s.service.schedulerSnapshot != nil {
|
||
schedGroup, _ = s.service.schedulerSnapshot.GetGroupByID(ctx, *req.GroupID)
|
||
}
|
||
|
||
filterStats := openAISelectionFilterStats{pool: len(accounts)}
|
||
filtered := make([]*Account, 0, len(accounts))
|
||
loadReq := make([]AccountWithConcurrency, 0, len(accounts))
|
||
for i := range accounts {
|
||
account := &accounts[i]
|
||
if req.ExcludedIDs != nil {
|
||
if _, excluded := req.ExcludedIDs[account.ID]; excluded {
|
||
filterStats.exclude("excluded")
|
||
continue
|
||
}
|
||
}
|
||
if !account.IsSchedulable() {
|
||
filterStats.exclude("not_schedulable")
|
||
continue
|
||
}
|
||
if account.Platform != NormalizeOpenAICompatiblePlatform(req.Platform) || !account.IsOpenAICompatible() {
|
||
filterStats.exclude("platform_mismatch")
|
||
continue
|
||
}
|
||
if s.service.isOpenAIAccountRequestRuntimeBlocked(account, req.RequestedModel) {
|
||
filterStats.exclude("runtime_blocked")
|
||
continue
|
||
}
|
||
// require_privacy_set: 跳过 privacy 未设置的账号并标记异常
|
||
if schedGroup != nil && schedGroup.RequirePrivacySet && !account.IsPrivacySet() {
|
||
s.service.BlockAccountScheduling(account, time.Time{}, "privacy_not_set")
|
||
_ = s.service.accountRepo.SetError(ctx, account.ID,
|
||
fmt.Sprintf("Privacy not set, required by group [%s]", schedGroup.Name))
|
||
filterStats.exclude("privacy_not_set")
|
||
continue
|
||
}
|
||
if compatible, reason := s.isAccountRequestCompatibleReason(ctx, account, req); !compatible {
|
||
filterStats.exclude(reason)
|
||
continue
|
||
}
|
||
if !s.isAccountTransportCompatible(account, req.RequiredTransport) {
|
||
filterStats.exclude("transport_incompatible")
|
||
continue
|
||
}
|
||
filtered = append(filtered, account)
|
||
loadReq = append(loadReq, AccountWithConcurrency{
|
||
ID: account.ID,
|
||
MaxConcurrency: account.EffectiveLoadFactor(),
|
||
})
|
||
}
|
||
if len(filtered) == 0 {
|
||
return nil, 0, 0, 0, noAvailableOpenAISelectionError(req.RequestedModel, false, filterStats.summary(""))
|
||
}
|
||
|
||
loadMap := map[int64]*AccountLoadInfo{}
|
||
if s.service.concurrencyService != nil {
|
||
if batchLoad, loadErr := s.service.concurrencyService.GetAccountsLoadBatch(ctx, loadReq); loadErr == nil {
|
||
loadMap = batchLoad
|
||
}
|
||
}
|
||
|
||
if req.SubscriptionPriority {
|
||
subscriptionAccounts, regularAccounts := partitionOpenAIChatGPTSubscriptionAccounts(filtered)
|
||
if len(subscriptionAccounts) > 0 {
|
||
attempt := s.trySelectByLoadBalancePool(ctx, req, subscriptionAccounts, loadMap, budget)
|
||
if attempt.err != nil && (!attempt.noCompactCandidates || len(regularAccounts) <= 0) {
|
||
return nil, attempt.candidateCount, attempt.topK, attempt.loadSkew, attempt.err
|
||
}
|
||
if attempt.result != nil {
|
||
return attempt.result, attempt.candidateCount, attempt.topK, attempt.loadSkew, nil
|
||
}
|
||
if len(regularAccounts) > 0 {
|
||
regularAttempt := s.trySelectByLoadBalancePool(ctx, req, regularAccounts, loadMap, budget)
|
||
if regularAttempt.err != nil && !regularAttempt.noCompactCandidates {
|
||
return nil, regularAttempt.candidateCount, regularAttempt.topK, regularAttempt.loadSkew, regularAttempt.err
|
||
}
|
||
if regularAttempt.result != nil {
|
||
return regularAttempt.result, regularAttempt.candidateCount, regularAttempt.topK, regularAttempt.loadSkew, nil
|
||
}
|
||
var result *AccountSelectionResult
|
||
candidateCount, topK, loadSkew := regularAttempt.candidateCount, regularAttempt.topK, regularAttempt.loadSkew
|
||
fallbackErr := regularAttempt.err
|
||
if regularAttempt.err == nil {
|
||
result, candidateCount, topK, loadSkew, fallbackErr = s.finishLoadBalanceSelectionFallback(ctx, req, regularAttempt, budget, filterStats)
|
||
if fallbackErr == nil && result != nil {
|
||
return result, candidateCount, topK, loadSkew, nil
|
||
}
|
||
}
|
||
// 常规池既无法获取也无法排队(含仅剩不支持 compact 的候选)时,
|
||
// 回退到订阅池的等待计划:busy-but-waitable 的订阅账号不应因常规池存在
|
||
// 而被丢弃,否则开启订阅优先反而让本可排队成功的请求硬失败。
|
||
subResult, subCandidateCount, subTopK, subLoadSkew, subErr := s.finishLoadBalanceSelectionFallback(ctx, req, attempt, budget, filterStats)
|
||
if subErr == nil && subResult != nil {
|
||
return subResult, subCandidateCount, subTopK, subLoadSkew, nil
|
||
}
|
||
return result, candidateCount, topK, loadSkew, fallbackErr
|
||
}
|
||
return s.finishLoadBalanceSelectionFallback(ctx, req, attempt, budget, filterStats)
|
||
}
|
||
}
|
||
|
||
attempt := s.trySelectByLoadBalancePool(ctx, req, filtered, loadMap, budget)
|
||
if attempt.err != nil {
|
||
return nil, attempt.candidateCount, attempt.topK, attempt.loadSkew, attempt.err
|
||
}
|
||
if attempt.result != nil {
|
||
return attempt.result, attempt.candidateCount, attempt.topK, attempt.loadSkew, nil
|
||
}
|
||
return s.finishLoadBalanceSelectionFallback(ctx, req, attempt, budget, filterStats)
|
||
}
|
||
|
||
func partitionOpenAIChatGPTSubscriptionAccounts(accounts []*Account) ([]*Account, []*Account) {
|
||
subscriptionAccounts := make([]*Account, 0, len(accounts))
|
||
regularAccounts := make([]*Account, 0, len(accounts))
|
||
for _, account := range accounts {
|
||
if account != nil && account.IsOpenAIChatGPTSubscription() {
|
||
subscriptionAccounts = append(subscriptionAccounts, account)
|
||
continue
|
||
}
|
||
regularAccounts = append(regularAccounts, account)
|
||
}
|
||
return subscriptionAccounts, regularAccounts
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) trySelectByLoadBalancePool(
|
||
ctx context.Context,
|
||
req OpenAIAccountScheduleRequest,
|
||
filtered []*Account,
|
||
loadMap map[int64]*AccountLoadInfo,
|
||
budget *openAISelectionProbeBudget,
|
||
) openAIAccountLoadSelectionAttempt {
|
||
plan := s.buildOpenAIAccountLoadPlan(ctx, req, filtered, loadMap)
|
||
if openAICostOverflowExpanded(req, plan) {
|
||
budget.enableLimit()
|
||
}
|
||
attempt := openAIAccountLoadSelectionAttempt{
|
||
selectionOrder: plan.selectionOrder,
|
||
candidateCount: plan.candidateCount,
|
||
topK: plan.topK,
|
||
loadSkew: plan.loadSkew,
|
||
}
|
||
if req.RequireCompact && len(plan.candidates) == 0 && len(plan.staleSnapshotCompactRetry) == 0 {
|
||
attempt.noCompactCandidates = true
|
||
attempt.err = ErrNoAvailableCompactAccounts
|
||
return attempt
|
||
}
|
||
if req.RequireCompact && len(attempt.selectionOrder) == 0 && s.service.schedulerSnapshot == nil {
|
||
attempt.noCompactCandidates = true
|
||
attempt.err = ErrNoAvailableCompactAccounts
|
||
return attempt
|
||
}
|
||
if len(attempt.selectionOrder) == 0 {
|
||
attempt.compactBlocked = req.RequireCompact && len(plan.allCandidates) > 0
|
||
return attempt
|
||
}
|
||
|
||
result, compactBlocked, acquireErr := s.tryAcquireOpenAISelectionOrderWithBudget(ctx, req, attempt.selectionOrder, budget)
|
||
attempt.compactBlocked = compactBlocked
|
||
if acquireErr != nil {
|
||
attempt.err = acquireErr
|
||
return attempt
|
||
}
|
||
if result != nil {
|
||
attempt.result = result
|
||
return attempt
|
||
}
|
||
|
||
if s.service.concurrencyService != nil && !budget.acquireExhausted() {
|
||
loadReq := buildOpenAIAccountLoadRequest(filtered)
|
||
if freshLoadMap, loadErr := s.service.concurrencyService.GetAccountsLoadBatchFresh(ctx, loadReq); loadErr == nil {
|
||
freshPlan := s.buildOpenAIAccountLoadPlan(ctx, req, filtered, freshLoadMap)
|
||
if openAICostOverflowExpanded(req, freshPlan) {
|
||
budget.enableLimit()
|
||
}
|
||
if len(freshPlan.selectionOrder) > 0 {
|
||
freshResult, freshCompactBlocked, freshAcquireErr := s.tryAcquireOpenAISelectionOrderWithBudget(ctx, req, freshPlan.selectionOrder, budget)
|
||
if freshAcquireErr != nil {
|
||
attempt.err = freshAcquireErr
|
||
return attempt
|
||
}
|
||
if freshResult != nil {
|
||
attempt.result = freshResult
|
||
attempt.selectionOrder = freshPlan.selectionOrder
|
||
attempt.candidateCount = freshPlan.candidateCount
|
||
attempt.topK = freshPlan.topK
|
||
attempt.loadSkew = freshPlan.loadSkew
|
||
return attempt
|
||
}
|
||
attempt.compactBlocked = attempt.compactBlocked || freshCompactBlocked
|
||
attempt.selectionOrder = freshPlan.selectionOrder
|
||
attempt.candidateCount = freshPlan.candidateCount
|
||
attempt.topK = freshPlan.topK
|
||
attempt.loadSkew = freshPlan.loadSkew
|
||
}
|
||
}
|
||
}
|
||
|
||
return attempt
|
||
}
|
||
|
||
func openAICostOverflowExpanded(req OpenAIAccountScheduleRequest, plan openAIAccountLoadPlan) bool {
|
||
if !plan.includeOverflowFallback || plan.topK <= 0 {
|
||
return false
|
||
}
|
||
if !req.RequireCompact {
|
||
return len(plan.candidates) > plan.topK
|
||
}
|
||
supported, unknown := 0, 0
|
||
for _, candidate := range plan.candidates {
|
||
switch openAICompactSupportTier(candidate.account) {
|
||
case 2:
|
||
supported++
|
||
case 1:
|
||
unknown++
|
||
}
|
||
}
|
||
return supported > plan.topK || unknown > plan.topK
|
||
}
|
||
|
||
func buildOpenAIAccountLoadRequest(accounts []*Account) []AccountWithConcurrency {
|
||
loadReq := make([]AccountWithConcurrency, 0, len(accounts))
|
||
for _, account := range accounts {
|
||
if account == nil {
|
||
continue
|
||
}
|
||
loadReq = append(loadReq, AccountWithConcurrency{
|
||
ID: account.ID,
|
||
MaxConcurrency: account.EffectiveLoadFactor(),
|
||
})
|
||
}
|
||
return loadReq
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) finishLoadBalanceSelectionFallback(
|
||
ctx context.Context,
|
||
req OpenAIAccountScheduleRequest,
|
||
attempt openAIAccountLoadSelectionAttempt,
|
||
budget *openAISelectionProbeBudget,
|
||
filterStats openAISelectionFilterStats,
|
||
) (*AccountSelectionResult, int, int, float64, error) {
|
||
candidateCount := attempt.candidateCount
|
||
topK := attempt.topK
|
||
loadSkew := attempt.loadSkew
|
||
|
||
if len(attempt.selectionOrder) == 0 {
|
||
return nil, candidateCount, topK, loadSkew, noAvailableOpenAISelectionError(req.RequestedModel, attempt.compactBlocked, filterStats.summary("selection_order_empty"))
|
||
}
|
||
|
||
if stickyFallback, stickyErr := s.tryFallbackToWeightedSticky(ctx, req); stickyErr != nil {
|
||
return nil, candidateCount, topK, loadSkew, stickyErr
|
||
} else if stickyFallback != nil {
|
||
return stickyFallback, candidateCount, topK, loadSkew, nil
|
||
}
|
||
|
||
cfg := s.service.schedulingConfig()
|
||
compactBlocked := attempt.compactBlocked
|
||
// WaitPlan.MaxConcurrency 使用 Concurrency(非 EffectiveLoadFactor),因为 WaitPlan 控制的是 Redis 实际并发槽位等待。
|
||
passes := 1
|
||
if budget != nil && budget.limited {
|
||
passes = 4
|
||
}
|
||
for pass := 0; pass < passes; pass++ {
|
||
wantAttempted := pass == 1 || pass == 3
|
||
wantKnownFull := pass >= 2
|
||
for _, candidate := range attempt.selectionOrder {
|
||
if candidate.account == nil {
|
||
continue
|
||
}
|
||
if budget != nil && budget.limited {
|
||
knownFull := candidate.loadKnown && candidate.account.Concurrency > 0 &&
|
||
candidate.loadInfo.CurrentConcurrency >= candidate.account.Concurrency
|
||
if budget.wasAttempted(candidate.account.ID) != wantAttempted || knownFull != wantKnownFull {
|
||
continue
|
||
}
|
||
}
|
||
fresh := s.service.resolveFreshSchedulableOpenAIAccount(ctx, candidate.account, req.Platform, req.RequestedModel, false, req.RequiredCapability)
|
||
if fresh == nil || !s.isAccountTransportCompatible(fresh, req.RequiredTransport) || !s.isAccountRequestCompatible(ctx, fresh, req) {
|
||
continue
|
||
}
|
||
if !s.consumeOpenAISelectionDBRecheck(budget) {
|
||
return nil, candidateCount, topK, loadSkew, noAvailableOpenAISelectionError(req.RequestedModel, compactBlocked, filterStats.summary("selection_order_exhausted"))
|
||
}
|
||
fresh = s.service.recheckSelectedOpenAIAccountFromDB(ctx, fresh, req.GroupID, req.Platform, req.RequestedModel, false, req.RequiredCapability)
|
||
if fresh == nil || !s.isAccountTransportCompatible(fresh, req.RequiredTransport) || !s.isAccountRequestCompatible(ctx, fresh, req) {
|
||
continue
|
||
}
|
||
if req.RequireCompact && openAICompactSupportTier(fresh) == 0 {
|
||
compactBlocked = true
|
||
continue
|
||
}
|
||
return attachSelectionProfitGate(ctx, &AccountSelectionResult{
|
||
Account: fresh,
|
||
WaitPlan: &AccountWaitPlan{
|
||
AccountID: fresh.ID,
|
||
MaxConcurrency: fresh.Concurrency,
|
||
Timeout: cfg.FallbackWaitTimeout,
|
||
MaxWaiting: cfg.FallbackMaxWaiting,
|
||
},
|
||
}), candidateCount, topK, loadSkew, nil
|
||
}
|
||
}
|
||
|
||
return nil, candidateCount, topK, loadSkew, noAvailableOpenAISelectionError(req.RequestedModel, compactBlocked, filterStats.summary("selection_order_exhausted"))
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) isAccountTransportCompatible(account *Account, requiredTransport OpenAIUpstreamTransport) bool {
|
||
if requiredTransport == OpenAIUpstreamTransportAny || requiredTransport == OpenAIUpstreamTransportHTTPSSE {
|
||
return true
|
||
}
|
||
if s == nil || s.service == nil {
|
||
return false
|
||
}
|
||
return s.service.isOpenAIAccountTransportCompatible(account, requiredTransport)
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) lookupShadowParentAccount(ctx context.Context, id int64) *Account {
|
||
if s == nil || s.service == nil {
|
||
return nil
|
||
}
|
||
if s.service.schedulerSnapshot != nil {
|
||
if account, err := s.service.schedulerSnapshot.GetAccount(ctx, id); err == nil && account != nil {
|
||
return account
|
||
}
|
||
}
|
||
if s.service.accountRepo == nil {
|
||
return nil
|
||
}
|
||
account, _ := s.service.accountRepo.GetByID(ctx, id)
|
||
return account
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) isAccountRequestCompatible(ctx context.Context, account *Account, req OpenAIAccountScheduleRequest) bool {
|
||
compatible, _ := s.isAccountRequestCompatibleReason(ctx, account, req)
|
||
return compatible
|
||
}
|
||
|
||
// isAccountRequestCompatibleReason reports whether the account can serve the
|
||
// request, and when it cannot, names the veto point. The reason feeds
|
||
// openAISelectionFilterStats so that "no available accounts" errors state why
|
||
// each candidate was dropped instead of failing silently (#4599).
|
||
func (s *defaultOpenAIAccountScheduler) isAccountRequestCompatibleReason(ctx context.Context, account *Account, req OpenAIAccountScheduleRequest) (bool, string) {
|
||
if account == nil {
|
||
return false, "account_nil"
|
||
}
|
||
if s != nil && s.service != nil && s.service.isOpenAIAccountRequestRuntimeBlocked(account, req.RequestedModel) {
|
||
return false, "runtime_blocked"
|
||
}
|
||
if s != nil && s.service != nil && s.service.isOpenAIProxyStreamQuarantined(ctx, account) {
|
||
return false, "proxy_stream_quarantined"
|
||
}
|
||
// Quota auto-pause must be evaluated during the initial filter too. Without it the
|
||
// TopK candidate pool can be filled with paused accounts and the later fresh/DB
|
||
// rechecks won't reach healthy accounts that fell outside TopK — manifesting as
|
||
// "no available accounts" even though healthy ones exist.
|
||
if paused, decision := shouldAutoPauseOpenAIAccountByQuota(ctx, account); paused {
|
||
reason := "quota_auto_pause"
|
||
if decision.window != "" {
|
||
reason += "_" + decision.window
|
||
}
|
||
return false, reason
|
||
}
|
||
// 母账号健康联动:影子账号的凭据来自母账号,母账号不可调度时影子也不应被选中。
|
||
// Parent-health gate: shadow borrows the parent's credentials; an unschedulable
|
||
// parent must block the shadow across all scheduler paths.
|
||
if !parentHealthyForShadow(account, func(id int64) *Account {
|
||
return s.lookupShadowParentAccount(ctx, id)
|
||
}) {
|
||
return false, "shadow_parent_unhealthy"
|
||
}
|
||
if req.RequestedModel != "" && !account.IsModelSupported(req.RequestedModel) {
|
||
return false, "model_not_supported"
|
||
}
|
||
if req.GroupID != nil && s != nil && s.service != nil &&
|
||
s.service.needsUpstreamChannelRestrictionCheck(ctx, req.GroupID) &&
|
||
s.service.isUpstreamModelRestrictedByChannel(ctx, *req.GroupID, account, req.RequestedModel, req.RequireCompact) {
|
||
return false, "channel_upstream_restricted"
|
||
}
|
||
if !accountSupportsOpenAICapabilities(account, req.RequiredCapability, req.RequiredImageCapability) {
|
||
return false, "capability_mismatch"
|
||
}
|
||
// 分组利润控制:不合格账号在候选过滤与抢槽后终检阶段即被排除,
|
||
// 排序/评分/粘性/熔断只在合格账号之间工作;named reason 进入 filter stats。
|
||
if vetoed, reason := openAIProfitControlVetoReason(ctx, account); vetoed {
|
||
return false, reason
|
||
}
|
||
return true, ""
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) ReportResult(accountID int64, success bool, firstTokenMs *int) {
|
||
if s == nil || s.stats == nil {
|
||
return
|
||
}
|
||
s.stats.report(accountID, success, firstTokenMs)
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) ReportSwitch() {
|
||
if s == nil {
|
||
return
|
||
}
|
||
s.metrics.recordSwitch()
|
||
}
|
||
|
||
func (s *defaultOpenAIAccountScheduler) SnapshotMetrics() OpenAIAccountSchedulerMetricsSnapshot {
|
||
if s == nil {
|
||
return OpenAIAccountSchedulerMetricsSnapshot{}
|
||
}
|
||
|
||
selectTotal := s.metrics.selectTotal.Load()
|
||
prevHit := s.metrics.stickyPreviousHitTotal.Load()
|
||
sessionHit := s.metrics.stickySessionHitTotal.Load()
|
||
switchTotal := s.metrics.accountSwitchTotal.Load()
|
||
latencyTotal := s.metrics.latencyMsTotal.Load()
|
||
loadSkewTotal := s.metrics.loadSkewMilliTotal.Load()
|
||
|
||
snapshot := OpenAIAccountSchedulerMetricsSnapshot{
|
||
SelectTotal: selectTotal,
|
||
StickyPreviousHitTotal: prevHit,
|
||
StickySessionHitTotal: sessionHit,
|
||
LoadBalanceSelectTotal: s.metrics.loadBalanceSelectTotal.Load(),
|
||
AccountSwitchTotal: switchTotal,
|
||
SchedulerLatencyMsTotal: latencyTotal,
|
||
RuntimeStatsAccountCount: s.stats.size(),
|
||
}
|
||
if selectTotal > 0 {
|
||
snapshot.SchedulerLatencyMsAvg = float64(latencyTotal) / float64(selectTotal)
|
||
snapshot.StickyHitRatio = float64(prevHit+sessionHit) / float64(selectTotal)
|
||
snapshot.AccountSwitchRate = float64(switchTotal) / float64(selectTotal)
|
||
snapshot.LoadSkewAvg = float64(loadSkewTotal) / 1000 / float64(selectTotal)
|
||
}
|
||
return snapshot
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) openAIAdvancedSchedulerSettingRepo() SettingRepository {
|
||
if s == nil || s.rateLimitService == nil || s.rateLimitService.settingService == nil {
|
||
return nil
|
||
}
|
||
return s.rateLimitService.settingService.settingRepo
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) openAIAdvancedSchedulerRuntimeSettings(ctx context.Context) openAIAdvancedSchedulerRuntimeSettings {
|
||
if cached, ok := openAIAdvancedSchedulerSettingCache.Load().(*cachedOpenAIAdvancedSchedulerSetting); ok && cached != nil {
|
||
if time.Now().UnixNano() < cached.expiresAt {
|
||
return openAIAdvancedSchedulerRuntimeSettings{
|
||
lowUpstreamRatePriorityEnabled: cached.lowUpstreamRatePriorityEnabled,
|
||
oauthSchedulingRateMultiplier: cached.oauthSchedulingRateMultiplier,
|
||
enabled: cached.enabled,
|
||
stickyWeightedEnabled: cached.stickyWeightedEnabled,
|
||
subscriptionPriorityEnabled: cached.subscriptionPriorityEnabled,
|
||
lbTopKOverride: cached.lbTopKOverride,
|
||
weightOverrides: cloneOpenAIAdvancedSchedulerWeightOverrides(cached.weightOverrides),
|
||
}
|
||
}
|
||
}
|
||
|
||
result, _, _ := openAIAdvancedSchedulerSettingSF.Do(openAIAdvancedSchedulerSettingKey, func() (any, error) {
|
||
if cached, ok := openAIAdvancedSchedulerSettingCache.Load().(*cachedOpenAIAdvancedSchedulerSetting); ok && cached != nil {
|
||
if time.Now().UnixNano() < cached.expiresAt {
|
||
return openAIAdvancedSchedulerRuntimeSettings{
|
||
lowUpstreamRatePriorityEnabled: cached.lowUpstreamRatePriorityEnabled,
|
||
oauthSchedulingRateMultiplier: cached.oauthSchedulingRateMultiplier,
|
||
enabled: cached.enabled,
|
||
stickyWeightedEnabled: cached.stickyWeightedEnabled,
|
||
subscriptionPriorityEnabled: cached.subscriptionPriorityEnabled,
|
||
lbTopKOverride: cached.lbTopKOverride,
|
||
weightOverrides: cloneOpenAIAdvancedSchedulerWeightOverrides(cached.weightOverrides),
|
||
}, nil
|
||
}
|
||
}
|
||
|
||
lowUpstreamRatePriorityEnabled := false
|
||
oauthSchedulingRateMultiplier := defaultOpenAIOAuthSchedulingRateMultiplier
|
||
enabled := false
|
||
stickyWeightedEnabled := false
|
||
subscriptionPriorityEnabled := false
|
||
lbTopKOverride := 0
|
||
weightOverrides := map[string]float64{}
|
||
if repo := s.openAIAdvancedSchedulerSettingRepo(); repo != nil {
|
||
dbCtx, cancel := context.WithTimeout(context.WithoutCancel(ctx), openAIAdvancedSchedulerSettingDBTimeout)
|
||
defer cancel()
|
||
|
||
if values, err := repo.GetMultiple(dbCtx, openAIAdvancedSchedulerRuntimeSettingKeys()); err == nil {
|
||
lowUpstreamRatePriorityEnabled = strings.EqualFold(strings.TrimSpace(values[SettingKeyOpenAILowUpstreamRatePriorityEnabled]), "true")
|
||
oauthSchedulingRateMultiplier = parseOpenAIOAuthSchedulingRateMultiplier(values[SettingKeyOpenAIOAuthSchedulingRateMultiplier])
|
||
enabled = strings.EqualFold(strings.TrimSpace(values[openAIAdvancedSchedulerSettingKey]), "true")
|
||
stickyWeightedEnabled = strings.EqualFold(strings.TrimSpace(values[SettingKeyOpenAIAdvancedSchedulerStickyWeightedEnabled]), "true")
|
||
subscriptionPriorityEnabled = strings.EqualFold(strings.TrimSpace(values[SettingKeyOpenAIAdvancedSchedulerSubscriptionPriorityEnabled]), "true")
|
||
lbTopKOverride = parsePositiveIntOverride(values[SettingKeyOpenAIAdvancedSchedulerLBTopK])
|
||
weightOverrides = parseOpenAIAdvancedSchedulerWeightOverrides(values)
|
||
} else {
|
||
// 批量读取失败时逐键降级,覆盖全部键(含 TopK/权重),避免只加载布尔开关
|
||
// 而静默丢弃管理员配置的覆盖值;降级状态会被缓存一个 TTL,必须留痕。
|
||
slog.Warn("openai_advanced_scheduler_settings_batch_load_failed", "error", err)
|
||
fallbackValues := make(map[string]string)
|
||
for _, key := range openAIAdvancedSchedulerRuntimeSettingKeys() {
|
||
if value, valueErr := repo.GetValue(dbCtx, key); valueErr == nil {
|
||
fallbackValues[key] = value
|
||
}
|
||
}
|
||
lowUpstreamRatePriorityEnabled = strings.EqualFold(strings.TrimSpace(fallbackValues[SettingKeyOpenAILowUpstreamRatePriorityEnabled]), "true")
|
||
oauthSchedulingRateMultiplier = parseOpenAIOAuthSchedulingRateMultiplier(fallbackValues[SettingKeyOpenAIOAuthSchedulingRateMultiplier])
|
||
enabled = strings.EqualFold(strings.TrimSpace(fallbackValues[openAIAdvancedSchedulerSettingKey]), "true")
|
||
stickyWeightedEnabled = strings.EqualFold(strings.TrimSpace(fallbackValues[SettingKeyOpenAIAdvancedSchedulerStickyWeightedEnabled]), "true")
|
||
subscriptionPriorityEnabled = strings.EqualFold(strings.TrimSpace(fallbackValues[SettingKeyOpenAIAdvancedSchedulerSubscriptionPriorityEnabled]), "true")
|
||
lbTopKOverride = parsePositiveIntOverride(fallbackValues[SettingKeyOpenAIAdvancedSchedulerLBTopK])
|
||
weightOverrides = parseOpenAIAdvancedSchedulerWeightOverrides(fallbackValues)
|
||
}
|
||
}
|
||
|
||
openAIAdvancedSchedulerSettingCache.Store(&cachedOpenAIAdvancedSchedulerSetting{
|
||
lowUpstreamRatePriorityEnabled: lowUpstreamRatePriorityEnabled,
|
||
oauthSchedulingRateMultiplier: oauthSchedulingRateMultiplier,
|
||
enabled: enabled,
|
||
stickyWeightedEnabled: stickyWeightedEnabled,
|
||
subscriptionPriorityEnabled: subscriptionPriorityEnabled,
|
||
lbTopKOverride: lbTopKOverride,
|
||
weightOverrides: cloneOpenAIAdvancedSchedulerWeightOverrides(weightOverrides),
|
||
expiresAt: time.Now().Add(openAIAdvancedSchedulerSettingCacheTTL).UnixNano(),
|
||
})
|
||
return openAIAdvancedSchedulerRuntimeSettings{
|
||
lowUpstreamRatePriorityEnabled: lowUpstreamRatePriorityEnabled,
|
||
oauthSchedulingRateMultiplier: oauthSchedulingRateMultiplier,
|
||
enabled: enabled,
|
||
stickyWeightedEnabled: stickyWeightedEnabled,
|
||
subscriptionPriorityEnabled: subscriptionPriorityEnabled,
|
||
lbTopKOverride: lbTopKOverride,
|
||
weightOverrides: weightOverrides,
|
||
}, nil
|
||
})
|
||
|
||
settings, _ := result.(openAIAdvancedSchedulerRuntimeSettings)
|
||
return settings
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) isOpenAIAdvancedSchedulerEnabled(ctx context.Context) bool {
|
||
return s.openAIAdvancedSchedulerRuntimeSettings(ctx).enabled
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) isOpenAILowUpstreamRatePriorityEnabled(ctx context.Context) bool {
|
||
settings := s.openAIAdvancedSchedulerRuntimeSettings(ctx)
|
||
return !settings.enabled && settings.lowUpstreamRatePriorityEnabled
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) openAIOAuthSchedulingRateMultiplier(ctx context.Context) float64 {
|
||
return s.openAIAdvancedSchedulerRuntimeSettings(ctx).oauthSchedulingRateMultiplier
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) isOpenAIAdvancedSchedulerStickyWeightedEnabled(ctx context.Context) bool {
|
||
settings := s.openAIAdvancedSchedulerRuntimeSettings(ctx)
|
||
return settings.enabled && settings.stickyWeightedEnabled
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) isOpenAIAdvancedSchedulerSubscriptionPriorityEnabled(ctx context.Context) bool {
|
||
settings := s.openAIAdvancedSchedulerRuntimeSettings(ctx)
|
||
return settings.enabled && settings.subscriptionPriorityEnabled
|
||
}
|
||
|
||
func openAIAdvancedSchedulerRuntimeSettingKeys() []string {
|
||
keys := []string{
|
||
SettingKeyOpenAILowUpstreamRatePriorityEnabled,
|
||
SettingKeyOpenAIOAuthSchedulingRateMultiplier,
|
||
openAIAdvancedSchedulerSettingKey,
|
||
SettingKeyOpenAIAdvancedSchedulerStickyWeightedEnabled,
|
||
SettingKeyOpenAIAdvancedSchedulerSubscriptionPriorityEnabled,
|
||
SettingKeyOpenAIAdvancedSchedulerLBTopK,
|
||
}
|
||
for _, spec := range openAIAdvancedSchedulerWeightOverrideSpecs() {
|
||
keys = append(keys, spec.key)
|
||
}
|
||
return keys
|
||
}
|
||
|
||
type openAIAdvancedSchedulerWeightOverrideSpec struct {
|
||
key string
|
||
name string
|
||
}
|
||
|
||
func openAIAdvancedSchedulerWeightOverrideSpecs() []openAIAdvancedSchedulerWeightOverrideSpec {
|
||
return []openAIAdvancedSchedulerWeightOverrideSpec{
|
||
{key: SettingKeyOpenAIAdvancedSchedulerWeightPriority, name: "priority"},
|
||
{key: SettingKeyOpenAIAdvancedSchedulerWeightLoad, name: "load"},
|
||
{key: SettingKeyOpenAIAdvancedSchedulerWeightQueue, name: "queue"},
|
||
{key: SettingKeyOpenAIAdvancedSchedulerWeightErrorRate, name: "error_rate"},
|
||
{key: SettingKeyOpenAIAdvancedSchedulerWeightTTFT, name: "ttft"},
|
||
{key: SettingKeyOpenAIAdvancedSchedulerWeightReset, name: "reset"},
|
||
{key: SettingKeyOpenAIAdvancedSchedulerWeightQuotaHeadroom, name: "quota_headroom"},
|
||
{key: SettingKeyOpenAIAdvancedSchedulerWeightUpstreamCost, name: "upstream_cost"},
|
||
{key: SettingKeyOpenAIAdvancedSchedulerWeightPreviousResponse, name: "previous_response"},
|
||
{key: SettingKeyOpenAIAdvancedSchedulerWeightSessionSticky, name: "session_sticky"},
|
||
}
|
||
}
|
||
|
||
func parsePositiveIntOverride(raw string) int {
|
||
raw = strings.TrimSpace(raw)
|
||
if raw == "" {
|
||
return 0
|
||
}
|
||
value, err := strconv.Atoi(raw)
|
||
if err != nil || value <= 0 {
|
||
return 0
|
||
}
|
||
return value
|
||
}
|
||
|
||
func parseOpenAIAdvancedSchedulerWeightOverrides(values map[string]string) map[string]float64 {
|
||
overrides := map[string]float64{}
|
||
for _, spec := range openAIAdvancedSchedulerWeightOverrideSpecs() {
|
||
raw := strings.TrimSpace(values[spec.key])
|
||
if raw == "" {
|
||
continue
|
||
}
|
||
value, err := strconv.ParseFloat(raw, 64)
|
||
if err != nil || value < 0 || math.IsNaN(value) || math.IsInf(value, 0) {
|
||
continue
|
||
}
|
||
overrides[spec.name] = value
|
||
}
|
||
return overrides
|
||
}
|
||
|
||
func cloneOpenAIAdvancedSchedulerWeightOverrides(in map[string]float64) map[string]float64 {
|
||
if len(in) == 0 {
|
||
return nil
|
||
}
|
||
out := make(map[string]float64, len(in))
|
||
for key, value := range in {
|
||
out[key] = value
|
||
}
|
||
return out
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) getOpenAIAccountScheduler(ctx context.Context) OpenAIAccountScheduler {
|
||
if s == nil {
|
||
return nil
|
||
}
|
||
if !s.isOpenAIAdvancedSchedulerEnabled(ctx) {
|
||
return nil
|
||
}
|
||
s.openaiSchedulerOnce.Do(func() {
|
||
if s.openaiAccountStats == nil {
|
||
s.openaiAccountStats = newOpenAIAccountRuntimeStats()
|
||
}
|
||
if s.openaiScheduler == nil {
|
||
s.openaiScheduler = newDefaultOpenAIAccountScheduler(s, s.openaiAccountStats)
|
||
}
|
||
})
|
||
return s.openaiScheduler
|
||
}
|
||
|
||
func resetOpenAIAdvancedSchedulerSettingCacheForTest() {
|
||
openAIAdvancedSchedulerSettingCache = atomic.Value{}
|
||
openAIAdvancedSchedulerSettingSF = singleflight.Group{}
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) SelectAccountWithScheduler(
|
||
ctx context.Context,
|
||
groupID *int64,
|
||
previousResponseID string,
|
||
sessionHash string,
|
||
requestedModel string,
|
||
excludedIDs map[int64]struct{},
|
||
requiredTransport OpenAIUpstreamTransport,
|
||
requireCompact bool,
|
||
) (*AccountSelectionResult, OpenAIAccountScheduleDecision, error) {
|
||
return s.selectAccountWithScheduler(ctx, groupID, previousResponseID, sessionHash, requestedModel, excludedIDs, requiredTransport, "", "", requireCompact, PlatformOpenAI, false, true)
|
||
}
|
||
|
||
// SelectAccountWithSchedulerForCapability 按能力要求调度账号。
|
||
// previousResponseCanMove 表示首包 input 可自行重建工具续链,previous_response_id 允许跨账号迁移
|
||
// (粘性加权模式下改为加权偏好而非硬粘连)。
|
||
func (s *OpenAIGatewayService) SelectAccountWithSchedulerForCapability(
|
||
ctx context.Context,
|
||
groupID *int64,
|
||
previousResponseID string,
|
||
sessionHash string,
|
||
requestedModel string,
|
||
excludedIDs map[int64]struct{},
|
||
requiredTransport OpenAIUpstreamTransport,
|
||
requiredCapability OpenAIEndpointCapability,
|
||
requireCompact bool,
|
||
previousResponseCanMove bool,
|
||
useUpstreamTokenCost bool,
|
||
platformOverride ...string,
|
||
) (*AccountSelectionResult, OpenAIAccountScheduleDecision, error) {
|
||
platform := PlatformOpenAI
|
||
if len(platformOverride) > 0 {
|
||
platform = platformOverride[0]
|
||
}
|
||
return s.selectAccountWithScheduler(ctx, groupID, previousResponseID, sessionHash, requestedModel, excludedIDs, requiredTransport, requiredCapability, "", requireCompact, platform, previousResponseCanMove, useUpstreamTokenCost)
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) SelectAccountWithSchedulerForImages(
|
||
ctx context.Context,
|
||
groupID *int64,
|
||
sessionHash string,
|
||
requestedModel string,
|
||
excludedIDs map[int64]struct{},
|
||
requiredCapability OpenAIImagesCapability,
|
||
) (*AccountSelectionResult, OpenAIAccountScheduleDecision, error) {
|
||
selection, decision, err := s.selectAccountWithScheduler(ctx, groupID, "", sessionHash, requestedModel, excludedIDs, OpenAIUpstreamTransportHTTPSSE, "", requiredCapability, false, PlatformOpenAI, false, false)
|
||
if err == nil && selection != nil && selection.Account != nil {
|
||
return selection, decision, nil
|
||
}
|
||
// 如果要求 native 能力(如指定了模型)但没有可用的 APIKey 账号,回退到 basic(OAuth 账号)
|
||
if requiredCapability == OpenAIImagesCapabilityNative {
|
||
return s.selectAccountWithScheduler(ctx, groupID, "", sessionHash, requestedModel, excludedIDs, OpenAIUpstreamTransportHTTPSSE, "", OpenAIImagesCapabilityBasic, false, PlatformOpenAI, false, false)
|
||
}
|
||
return selection, decision, err
|
||
}
|
||
|
||
// selectAccountWithScheduler wraps selectAccountWithSchedulerOnce with a
|
||
// fail-open second pass for the proxy stream circuit (#5056): when the only
|
||
// reason no account is available is that every candidate sits behind a
|
||
// quarantined proxy, the quarantine must degrade to a preference instead of
|
||
// zeroing out capacity. The retry re-runs the exact same selection with the
|
||
// quarantine checks bypassed, so healthy proxies always win the first pass
|
||
// and quarantined ones only serve when nothing else can.
|
||
func (s *OpenAIGatewayService) selectAccountWithScheduler(
|
||
ctx context.Context,
|
||
groupID *int64,
|
||
previousResponseID string,
|
||
sessionHash string,
|
||
requestedModel string,
|
||
excludedIDs map[int64]struct{},
|
||
requiredTransport OpenAIUpstreamTransport,
|
||
requiredCapability OpenAIEndpointCapability,
|
||
requiredImageCapability OpenAIImagesCapability,
|
||
requireCompact bool,
|
||
platform string,
|
||
previousResponseCanMove bool,
|
||
useUpstreamTokenCost bool,
|
||
) (*AccountSelectionResult, OpenAIAccountScheduleDecision, error) {
|
||
selection, decision, err := s.selectAccountWithSchedulerOnce(ctx, groupID, previousResponseID, sessionHash, requestedModel, excludedIDs, requiredTransport, requiredCapability, requiredImageCapability, requireCompact, platform, previousResponseCanMove, useUpstreamTokenCost)
|
||
if err == nil || openAIProxyStreamQuarantineBypassed(ctx) {
|
||
return selection, decision, err
|
||
}
|
||
if !errors.Is(err, ErrNoAvailableAccounts) && !errors.Is(err, ErrNoAvailableCompactAccounts) {
|
||
return selection, decision, err
|
||
}
|
||
// The circuit only ever quarantines PlatformOpenAI accounts.
|
||
if NormalizeOpenAICompatiblePlatform(platform) != PlatformOpenAI {
|
||
return selection, decision, err
|
||
}
|
||
blocked := s.getOpenAIProxyStreamCircuit().activeBlockCount(time.Now())
|
||
if blocked == 0 {
|
||
return selection, decision, err
|
||
}
|
||
s.logOpenAIProxyStreamQuarantineFailOpen(requestedModel, blocked)
|
||
return s.selectAccountWithSchedulerOnce(withOpenAIProxyStreamQuarantineBypass(ctx), groupID, previousResponseID, sessionHash, requestedModel, excludedIDs, requiredTransport, requiredCapability, requiredImageCapability, requireCompact, platform, previousResponseCanMove, useUpstreamTokenCost)
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) selectAccountWithSchedulerOnce(
|
||
ctx context.Context,
|
||
groupID *int64,
|
||
previousResponseID string,
|
||
sessionHash string,
|
||
requestedModel string,
|
||
excludedIDs map[int64]struct{},
|
||
requiredTransport OpenAIUpstreamTransport,
|
||
requiredCapability OpenAIEndpointCapability,
|
||
requiredImageCapability OpenAIImagesCapability,
|
||
requireCompact bool,
|
||
platform string,
|
||
previousResponseCanMove bool,
|
||
useUpstreamTokenCost bool,
|
||
) (*AccountSelectionResult, OpenAIAccountScheduleDecision, error) {
|
||
ctx = s.withOpenAIQuotaAutoPauseContext(ctx)
|
||
// 分组利润控制:唯一文本调度入口的防御性装门。handler 文本
|
||
// 入口已在请求开始经 WithOpenAIRequestPricingContext 装门并固定 pricingAt,
|
||
// 此处对同分组门直接复用(failover 重入阈值稳定),仅为不经 handler 装配的
|
||
// 内部调用兜底。图片/视频调度不在利润门范围:requiredImageCapability 非空的
|
||
// Images 调度不装门;其他使用 Responses 能力的文本请求(包括原生远程压缩)
|
||
// 仍须装门。其余媒体路径通过 WithOpenAIProfitControlSuppressed 显式跳过。
|
||
if requiredImageCapability == "" {
|
||
ctx = s.withOpenAIProfitControlGate(ctx, groupID)
|
||
}
|
||
platform = NormalizeOpenAICompatiblePlatform(platform)
|
||
decision := OpenAIAccountScheduleDecision{}
|
||
scheduler := s.getOpenAIAccountScheduler(ctx)
|
||
if scheduler == nil {
|
||
decision.Layer = openAIAccountScheduleLayerLoadBalance
|
||
if requiredTransport == OpenAIUpstreamTransportAny || requiredTransport == OpenAIUpstreamTransportHTTPSSE {
|
||
effectiveExcludedIDs := cloneExcludedAccountIDs(excludedIDs)
|
||
for {
|
||
selection, err := s.selectAccountWithLoadAwareness(ctx, groupID, platform, sessionHash, requestedModel, effectiveExcludedIDs, requireCompact, requiredCapability, useUpstreamTokenCost)
|
||
if err != nil {
|
||
return nil, decision, err
|
||
}
|
||
if selection == nil || selection.Account == nil {
|
||
return selection, decision, nil
|
||
}
|
||
if accountSupportsOpenAICapabilities(selection.Account, requiredCapability, requiredImageCapability) {
|
||
return selection, decision, nil
|
||
}
|
||
if selection.ReleaseFunc != nil {
|
||
selection.ReleaseFunc()
|
||
}
|
||
if effectiveExcludedIDs == nil {
|
||
effectiveExcludedIDs = make(map[int64]struct{})
|
||
}
|
||
if _, exists := effectiveExcludedIDs[selection.Account.ID]; exists {
|
||
return nil, decision, ErrNoAvailableAccounts
|
||
}
|
||
effectiveExcludedIDs[selection.Account.ID] = struct{}{}
|
||
}
|
||
}
|
||
|
||
effectiveExcludedIDs := cloneExcludedAccountIDs(excludedIDs)
|
||
for {
|
||
selection, err := s.selectAccountWithLoadAwareness(ctx, groupID, platform, sessionHash, requestedModel, effectiveExcludedIDs, requireCompact, requiredCapability, useUpstreamTokenCost)
|
||
if err != nil {
|
||
return nil, decision, err
|
||
}
|
||
if selection == nil || selection.Account == nil {
|
||
return selection, decision, nil
|
||
}
|
||
if s.isOpenAIAccountTransportCompatible(selection.Account, requiredTransport) &&
|
||
accountSupportsOpenAICapabilities(selection.Account, requiredCapability, requiredImageCapability) {
|
||
return selection, decision, nil
|
||
}
|
||
if selection.ReleaseFunc != nil {
|
||
selection.ReleaseFunc()
|
||
}
|
||
if effectiveExcludedIDs == nil {
|
||
effectiveExcludedIDs = make(map[int64]struct{})
|
||
}
|
||
if _, exists := effectiveExcludedIDs[selection.Account.ID]; exists {
|
||
return nil, decision, ErrNoAvailableAccounts
|
||
}
|
||
effectiveExcludedIDs[selection.Account.ID] = struct{}{}
|
||
}
|
||
}
|
||
|
||
if s.checkChannelPricingRestriction(ctx, groupID, requestedModel) {
|
||
slog.Warn("channel pricing restriction blocked request",
|
||
"group_id", derefGroupID(groupID),
|
||
"model", requestedModel)
|
||
return nil, decision, fmt.Errorf("%w supporting model: %s (channel pricing restriction)", ErrNoAvailableAccounts, requestedModel)
|
||
}
|
||
|
||
var stickyAccountID int64
|
||
if sessionHash != "" && s.cache != nil {
|
||
if accountID, err := s.getStickySessionAccountID(ctx, groupID, sessionHash); err == nil && accountID > 0 {
|
||
stickyAccountID = accountID
|
||
}
|
||
}
|
||
stickyWeighted := s.isOpenAIAdvancedSchedulerStickyWeightedEnabled(ctx)
|
||
subscriptionPriority := s.isOpenAIAdvancedSchedulerSubscriptionPriorityEnabled(ctx)
|
||
stickyPreviousAccountID := int64(0)
|
||
if stickyWeighted && previousResponseCanMove && strings.TrimSpace(previousResponseID) != "" && platform == PlatformOpenAI {
|
||
stickyPreviousAccountID = s.ResolveAccountIDByPreviousResponseIDForScheduler(ctx, groupID, previousResponseID, requestedModel, excludedIDs, requiredCapability, requireCompact)
|
||
}
|
||
|
||
return scheduler.Select(ctx, OpenAIAccountScheduleRequest{
|
||
GroupID: groupID,
|
||
Platform: platform,
|
||
SessionHash: sessionHash,
|
||
StickyAccountID: stickyAccountID,
|
||
StickyPreviousAccountID: stickyPreviousAccountID,
|
||
StickyWeighted: stickyWeighted,
|
||
SubscriptionPriority: subscriptionPriority,
|
||
PreviousResponseID: previousResponseID,
|
||
PreviousResponseCanMove: previousResponseCanMove,
|
||
UseUpstreamTokenCost: useUpstreamTokenCost,
|
||
RequestedModel: requestedModel,
|
||
RequiredTransport: requiredTransport,
|
||
RequiredCapability: requiredCapability,
|
||
RequiredImageCapability: requiredImageCapability,
|
||
RequireCompact: requireCompact,
|
||
ExcludedIDs: excludedIDs,
|
||
})
|
||
}
|
||
|
||
func accountSupportsOpenAICapabilities(account *Account, requiredCapability OpenAIEndpointCapability, requiredImageCapability OpenAIImagesCapability) bool {
|
||
if account == nil {
|
||
return false
|
||
}
|
||
return account.SupportsOpenAIEndpointCapability(requiredCapability) &&
|
||
account.SupportsOpenAIImageCapability(requiredImageCapability)
|
||
}
|
||
|
||
func cloneExcludedAccountIDs(excludedIDs map[int64]struct{}) map[int64]struct{} {
|
||
if len(excludedIDs) == 0 {
|
||
return nil
|
||
}
|
||
cloned := make(map[int64]struct{}, len(excludedIDs))
|
||
for id := range excludedIDs {
|
||
cloned[id] = struct{}{}
|
||
}
|
||
return cloned
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) isOpenAIAccountTransportCompatible(account *Account, requiredTransport OpenAIUpstreamTransport) bool {
|
||
if requiredTransport == OpenAIUpstreamTransportAny || requiredTransport == OpenAIUpstreamTransportHTTPSSE {
|
||
return true
|
||
}
|
||
if s == nil || account == nil {
|
||
return false
|
||
}
|
||
if requiredTransport == OpenAIUpstreamTransportResponsesWebsocketV2Ingress {
|
||
if s.cfg == nil || !s.cfg.Gateway.OpenAIWS.ModeRouterV2Enabled {
|
||
return s.getOpenAIWSProtocolResolver().Resolve(account).Transport == OpenAIUpstreamTransportResponsesWebsocketV2
|
||
}
|
||
mode := account.ResolveOpenAIResponsesWebSocketV2Mode(s.cfg.Gateway.OpenAIWS.IngressModeDefault)
|
||
switch mode {
|
||
case OpenAIWSIngressModeCtxPool, OpenAIWSIngressModePassthrough, OpenAIWSIngressModeHTTPBridge, OpenAIWSIngressModeShared, OpenAIWSIngressModeDedicated:
|
||
return true
|
||
default:
|
||
return false
|
||
}
|
||
}
|
||
return s.getOpenAIWSProtocolResolver().Resolve(account).Transport == requiredTransport
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) ReportOpenAIAccountScheduleResult(accountID int64, model string, success bool, firstTokenMs *int) {
|
||
if success {
|
||
s.clearOpenAIAccountModelTransientState(accountID, normalizeOpenAIAccountModelTransientModel(model))
|
||
}
|
||
scheduler := s.getOpenAIAccountScheduler(context.Background())
|
||
if scheduler == nil {
|
||
return
|
||
}
|
||
scheduler.ReportResult(accountID, success, firstTokenMs)
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) RecordOpenAIAccountSwitch() {
|
||
scheduler := s.getOpenAIAccountScheduler(context.Background())
|
||
if scheduler == nil {
|
||
return
|
||
}
|
||
scheduler.ReportSwitch()
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) SnapshotOpenAIAccountSchedulerMetrics() OpenAIAccountSchedulerMetricsSnapshot {
|
||
scheduler := s.getOpenAIAccountScheduler(context.Background())
|
||
if scheduler == nil {
|
||
return OpenAIAccountSchedulerMetricsSnapshot{}
|
||
}
|
||
return scheduler.SnapshotMetrics()
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) openAIWSSessionStickyTTL() time.Duration {
|
||
if s != nil && s.cfg != nil && s.cfg.Gateway.OpenAIWS.StickySessionTTLSeconds > 0 {
|
||
return time.Duration(s.cfg.Gateway.OpenAIWS.StickySessionTTLSeconds) * time.Second
|
||
}
|
||
return openaiStickySessionTTL
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) openAIWSLBTopK() int {
|
||
if s != nil && s.cfg != nil && s.cfg.Gateway.OpenAIWS.LBTopK > 0 {
|
||
return s.cfg.Gateway.OpenAIWS.LBTopK
|
||
}
|
||
return 7
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) openAIWSLBTopKForRequest(ctx context.Context) int {
|
||
base := s.openAIWSLBTopK()
|
||
settings := s.openAIAdvancedSchedulerRuntimeSettings(ctx)
|
||
// DB 覆盖值与 stickyWeighted/subscriptionPriority 一样受总开关门控:
|
||
// 关闭高级调度器后所有调用方(含管理页分数快照)都应回到配置/默认行为。
|
||
if !settings.enabled {
|
||
return base
|
||
}
|
||
if settings.lbTopKOverride > 0 {
|
||
return settings.lbTopKOverride
|
||
}
|
||
return base
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) openAIStickyEscapeConfig() openAIStickyEscapeConfig {
|
||
if s != nil && s.cfg != nil {
|
||
cfg := s.cfg.Gateway.OpenAIScheduler
|
||
enabled := cfg.StickyEscapeEnabled
|
||
if !enabled && cfg.StickyEscapeTTFTMs == 0 && cfg.StickyEscapeErrorRate == 0 {
|
||
enabled = true
|
||
}
|
||
ttftMs := float64(cfg.StickyEscapeTTFTMs)
|
||
if ttftMs <= 0 {
|
||
ttftMs = 15000
|
||
}
|
||
errorRate := cfg.StickyEscapeErrorRate
|
||
if errorRate < 0 || errorRate > 1 {
|
||
errorRate = 0.5
|
||
}
|
||
if errorRate == 0 && cfg.StickyEscapeTTFTMs == 0 && cfg.StickyEscapeErrorRate == 0 {
|
||
errorRate = 0.5
|
||
}
|
||
return openAIStickyEscapeConfig{
|
||
enabled: enabled,
|
||
ttftMs: ttftMs,
|
||
errorRate: errorRate,
|
||
}
|
||
}
|
||
return openAIStickyEscapeConfig{
|
||
enabled: true,
|
||
ttftMs: 15000,
|
||
errorRate: 0.5,
|
||
}
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) openAIWSSchedulerWeights() GatewayOpenAIWSSchedulerScoreWeightsView {
|
||
if s != nil && s.cfg != nil {
|
||
return GatewayOpenAIWSSchedulerScoreWeightsView{
|
||
Priority: s.cfg.Gateway.OpenAIWS.SchedulerScoreWeights.Priority,
|
||
Load: s.cfg.Gateway.OpenAIWS.SchedulerScoreWeights.Load,
|
||
Queue: s.cfg.Gateway.OpenAIWS.SchedulerScoreWeights.Queue,
|
||
ErrorRate: s.cfg.Gateway.OpenAIWS.SchedulerScoreWeights.ErrorRate,
|
||
TTFT: s.cfg.Gateway.OpenAIWS.SchedulerScoreWeights.TTFT,
|
||
Reset: s.cfg.Gateway.OpenAIWS.SchedulerScoreWeights.Reset,
|
||
QuotaHeadroom: s.cfg.Gateway.OpenAIWS.SchedulerScoreWeights.QuotaHeadroom,
|
||
UpstreamCost: s.cfg.Gateway.OpenAIWS.SchedulerScoreWeights.UpstreamCost,
|
||
Previous: s.cfg.Gateway.OpenAIWS.SchedulerScoreWeights.PreviousResponse,
|
||
SessionSticky: s.cfg.Gateway.OpenAIWS.SchedulerScoreWeights.SessionSticky,
|
||
}
|
||
}
|
||
return GatewayOpenAIWSSchedulerScoreWeightsView{
|
||
Priority: 1.0,
|
||
Load: 1.0,
|
||
Queue: 0.7,
|
||
ErrorRate: 0.8,
|
||
TTFT: 0.5,
|
||
Reset: 0.0,
|
||
QuotaHeadroom: 0.0,
|
||
UpstreamCost: 0.0,
|
||
Previous: 5.0,
|
||
SessionSticky: 3.0,
|
||
}
|
||
}
|
||
|
||
func (s *OpenAIGatewayService) openAIWSSchedulerWeightsForRequest(ctx context.Context) GatewayOpenAIWSSchedulerScoreWeightsView {
|
||
weights := s.openAIWSSchedulerWeights()
|
||
settings := s.openAIAdvancedSchedulerRuntimeSettings(ctx)
|
||
// 同 openAIWSLBTopKForRequest:总开关关闭时不应用 DB 覆盖值。
|
||
if !settings.enabled {
|
||
return weights
|
||
}
|
||
overridden := applyOpenAIAdvancedSchedulerWeightOverrides(weights, settings.weightOverrides)
|
||
if !overridden.configWeights().IsValid() {
|
||
return weights
|
||
}
|
||
return overridden
|
||
}
|
||
|
||
func applyOpenAIAdvancedSchedulerWeightOverrides(
|
||
weights GatewayOpenAIWSSchedulerScoreWeightsView,
|
||
overrides map[string]float64,
|
||
) GatewayOpenAIWSSchedulerScoreWeightsView {
|
||
for key, value := range overrides {
|
||
switch key {
|
||
case "priority":
|
||
weights.Priority = value
|
||
case "load":
|
||
weights.Load = value
|
||
case "queue":
|
||
weights.Queue = value
|
||
case "error_rate":
|
||
weights.ErrorRate = value
|
||
case "ttft":
|
||
weights.TTFT = value
|
||
case "reset":
|
||
weights.Reset = value
|
||
case "quota_headroom":
|
||
weights.QuotaHeadroom = value
|
||
case "upstream_cost":
|
||
weights.UpstreamCost = value
|
||
case "previous_response":
|
||
weights.Previous = value
|
||
case "session_sticky":
|
||
weights.SessionSticky = value
|
||
}
|
||
}
|
||
return weights
|
||
}
|
||
|
||
type GatewayOpenAIWSSchedulerScoreWeightsView struct {
|
||
Priority float64
|
||
Load float64
|
||
Queue float64
|
||
ErrorRate float64
|
||
TTFT float64
|
||
// Reset 倾向「会话窗口最早重置」的账号;0 表示关闭(默认)。
|
||
Reset float64
|
||
QuotaHeadroom float64
|
||
UpstreamCost float64
|
||
Previous float64
|
||
SessionSticky float64
|
||
}
|
||
|
||
func (w GatewayOpenAIWSSchedulerScoreWeightsView) configWeights() config.GatewayOpenAIWSSchedulerScoreWeights {
|
||
return config.GatewayOpenAIWSSchedulerScoreWeights{
|
||
Priority: w.Priority,
|
||
Load: w.Load,
|
||
Queue: w.Queue,
|
||
ErrorRate: w.ErrorRate,
|
||
TTFT: w.TTFT,
|
||
Reset: w.Reset,
|
||
QuotaHeadroom: w.QuotaHeadroom,
|
||
UpstreamCost: w.UpstreamCost,
|
||
PreviousResponse: w.Previous,
|
||
SessionSticky: w.SessionSticky,
|
||
}
|
||
}
|
||
|
||
type OpenAIAccountSchedulerScoreSnapshot struct {
|
||
BaseScore float64
|
||
StickyScore float64
|
||
StickyScoreInfinity bool
|
||
StickyWeightedEnabled bool
|
||
}
|
||
|
||
func (s *RateLimitService) BuildOpenAIAccountSchedulerScoreSnapshot(
|
||
ctx context.Context,
|
||
accounts []*Account,
|
||
loadMap map[int64]*AccountLoadInfo,
|
||
) map[int64]OpenAIAccountSchedulerScoreSnapshot {
|
||
gateway := &OpenAIGatewayService{cfg: nil, rateLimitService: s}
|
||
if s != nil {
|
||
gateway.cfg = s.cfg
|
||
}
|
||
return buildOpenAIAccountSchedulerScoreSnapshot(
|
||
accounts,
|
||
loadMap,
|
||
gateway.openAIWSSchedulerWeightsForRequest(ctx),
|
||
gateway.isOpenAIAdvancedSchedulerStickyWeightedEnabled(ctx),
|
||
gateway.openAIOAuthSchedulingRateMultiplier(ctx),
|
||
)
|
||
}
|
||
|
||
func BuildOpenAIAccountSchedulerScoreSnapshot(
|
||
accounts []*Account,
|
||
loadMap map[int64]*AccountLoadInfo,
|
||
) map[int64]OpenAIAccountSchedulerScoreSnapshot {
|
||
gateway := &OpenAIGatewayService{}
|
||
return buildOpenAIAccountSchedulerScoreSnapshot(accounts, loadMap, gateway.openAIWSSchedulerWeights(), false, defaultOpenAIOAuthSchedulingRateMultiplier)
|
||
}
|
||
|
||
func buildOpenAIAccountSchedulerScoreSnapshot(
|
||
accounts []*Account,
|
||
loadMap map[int64]*AccountLoadInfo,
|
||
weights GatewayOpenAIWSSchedulerScoreWeightsView,
|
||
stickyWeightedEnabled bool,
|
||
oauthSchedulingRateMultiplier float64,
|
||
) map[int64]OpenAIAccountSchedulerScoreSnapshot {
|
||
if len(accounts) == 0 {
|
||
return nil
|
||
}
|
||
candidates := make([]openAIAccountCandidateScore, 0, len(accounts))
|
||
for _, account := range accounts {
|
||
if account == nil {
|
||
continue
|
||
}
|
||
loadInfo := loadMap[account.ID]
|
||
if loadInfo == nil {
|
||
loadInfo = &AccountLoadInfo{AccountID: account.ID}
|
||
}
|
||
candidates = append(candidates, openAIAccountCandidateScore{
|
||
account: account,
|
||
loadInfo: loadInfo,
|
||
errorRate: 0,
|
||
ttft: 0,
|
||
hasTTFT: false,
|
||
})
|
||
}
|
||
if len(candidates) == 0 {
|
||
return nil
|
||
}
|
||
|
||
minPriority, maxPriority := openAIAccountSchedulingPriority(candidates[0].account), openAIAccountSchedulingPriority(candidates[0].account)
|
||
maxWaiting := 1
|
||
for i := range candidates {
|
||
candidate := &candidates[i]
|
||
candidate.priority = openAIAccountSchedulingPriority(candidate.account)
|
||
if candidate.priority < minPriority {
|
||
minPriority = candidate.priority
|
||
}
|
||
if candidate.priority > maxPriority {
|
||
maxPriority = candidate.priority
|
||
}
|
||
if candidate.loadInfo.WaitingCount > maxWaiting {
|
||
maxWaiting = candidate.loadInfo.WaitingCount
|
||
}
|
||
}
|
||
|
||
minResetRemaining, maxResetRemaining := 0.0, 0.0
|
||
hasResetSample := false
|
||
now := time.Now()
|
||
upstreamCostFactors := map[int64]float64(nil)
|
||
if weights.UpstreamCost > 0 {
|
||
accounts := make([]*Account, 0, len(candidates))
|
||
for _, candidate := range candidates {
|
||
accounts = append(accounts, candidate.account)
|
||
}
|
||
upstreamCostFactors = openAIUpstreamCostFactors(accounts, now, oauthSchedulingRateMultiplier)
|
||
}
|
||
if weights.Reset > 0 {
|
||
for _, candidate := range candidates {
|
||
end := candidate.account.SessionWindowEnd
|
||
if end == nil || !now.Before(*end) {
|
||
continue
|
||
}
|
||
remaining := end.Sub(now).Seconds()
|
||
if !hasResetSample {
|
||
minResetRemaining, maxResetRemaining = remaining, remaining
|
||
hasResetSample = true
|
||
continue
|
||
}
|
||
if remaining < minResetRemaining {
|
||
minResetRemaining = remaining
|
||
}
|
||
if remaining > maxResetRemaining {
|
||
maxResetRemaining = remaining
|
||
}
|
||
}
|
||
}
|
||
|
||
result := make(map[int64]OpenAIAccountSchedulerScoreSnapshot, len(candidates))
|
||
for _, candidate := range candidates {
|
||
priorityFactor := 1.0
|
||
if maxPriority > minPriority {
|
||
priorityFactor = 1 - float64(candidate.priority-minPriority)/float64(maxPriority-minPriority)
|
||
}
|
||
loadFactor := 1 - clamp01(float64(candidate.loadInfo.LoadRate)/100.0)
|
||
queueFactor := 1 - clamp01(float64(candidate.loadInfo.WaitingCount)/float64(maxWaiting))
|
||
errorFactor := 1.0
|
||
ttftFactor := 0.5
|
||
resetFactor := 0.0
|
||
if weights.Reset > 0 && hasResetSample {
|
||
if end := candidate.account.SessionWindowEnd; end != nil && now.Before(*end) {
|
||
if maxResetRemaining > minResetRemaining {
|
||
resetFactor = 1 - clamp01((end.Sub(now).Seconds()-minResetRemaining)/(maxResetRemaining-minResetRemaining))
|
||
} else {
|
||
resetFactor = 1
|
||
}
|
||
}
|
||
}
|
||
quotaHeadroomFactor := 0.0
|
||
if weights.QuotaHeadroom > 0 {
|
||
quotaHeadroomFactor = openAIQuotaHeadroomFactor(candidate.account, now)
|
||
}
|
||
upstreamCostFactor := openAIUpstreamCostNeutralFactor
|
||
if factor, ok := upstreamCostFactors[candidate.account.ID]; ok {
|
||
upstreamCostFactor = factor
|
||
}
|
||
baseScore := weights.Priority*priorityFactor +
|
||
weights.Load*loadFactor +
|
||
weights.Queue*queueFactor +
|
||
weights.ErrorRate*errorFactor +
|
||
weights.TTFT*ttftFactor +
|
||
weights.Reset*resetFactor +
|
||
weights.QuotaHeadroom*quotaHeadroomFactor +
|
||
weights.UpstreamCost*(upstreamCostFactor-openAIUpstreamCostNeutralFactor)
|
||
score := OpenAIAccountSchedulerScoreSnapshot{
|
||
BaseScore: baseScore,
|
||
StickyWeightedEnabled: stickyWeightedEnabled,
|
||
StickyScoreInfinity: !stickyWeightedEnabled,
|
||
}
|
||
if stickyWeightedEnabled {
|
||
score.StickyScore = baseScore + weights.Previous + weights.SessionSticky
|
||
}
|
||
result[candidate.account.ID] = score
|
||
}
|
||
return result
|
||
}
|
||
|
||
func openAIUpstreamCostFactors(accounts []*Account, now time.Time, oauthSchedulingRateMultiplier float64) map[int64]float64 {
|
||
type rateSample struct {
|
||
accountID int64
|
||
rate float64
|
||
}
|
||
|
||
factors := make(map[int64]float64, len(accounts))
|
||
samples := make([]rateSample, 0, len(accounts))
|
||
eligibleCount := 0
|
||
for _, account := range accounts {
|
||
if account == nil {
|
||
continue
|
||
}
|
||
factors[account.ID] = openAIUpstreamCostNeutralFactor
|
||
if !account.IsOpenAIApiKey() && !account.IsOpenAIOAuth() {
|
||
continue
|
||
}
|
||
eligibleCount++
|
||
if rate, ok := openAISchedulingRate(account, now, oauthSchedulingRateMultiplier); ok {
|
||
samples = append(samples, rateSample{accountID: account.ID, rate: rate})
|
||
}
|
||
}
|
||
if len(samples) < 2 || eligibleCount == 0 {
|
||
return factors
|
||
}
|
||
|
||
allEqual := true
|
||
positiveLogs := make([]float64, 0, len(samples))
|
||
for i, sample := range samples {
|
||
if i > 0 && sample.rate != samples[0].rate {
|
||
allEqual = false
|
||
}
|
||
if sample.rate > 0 {
|
||
positiveLogs = append(positiveLogs, math.Log(sample.rate))
|
||
}
|
||
}
|
||
if allEqual || len(positiveLogs) == 0 {
|
||
return factors
|
||
}
|
||
|
||
sort.Float64s(positiveLogs)
|
||
middle := len(positiveLogs) / 2
|
||
medianLog := positiveLogs[middle]
|
||
if len(positiveLogs)%2 == 0 {
|
||
medianLog = (positiveLogs[middle-1] + positiveLogs[middle]) / 2
|
||
}
|
||
center := math.Exp(medianLog)
|
||
if center <= 0 || math.IsNaN(center) || math.IsInf(center, 0) {
|
||
return factors
|
||
}
|
||
|
||
coverage := float64(len(samples)) / float64(eligibleCount)
|
||
for _, sample := range samples {
|
||
rawFactor := 1.0
|
||
if sample.rate > 0 {
|
||
rawFactor = 1 / (1 + sample.rate/center)
|
||
}
|
||
factors[sample.accountID] = clamp01(openAIUpstreamCostNeutralFactor + coverage*(rawFactor-openAIUpstreamCostNeutralFactor))
|
||
}
|
||
return factors
|
||
}
|
||
|
||
type openAILegacyUpstreamRateOrder struct {
|
||
enabled bool
|
||
rates map[int64]float64
|
||
}
|
||
|
||
func newOpenAILegacyUpstreamRateOrder(accounts []*Account, now time.Time, oauthSchedulingRateMultiplier float64) openAILegacyUpstreamRateOrder {
|
||
rates := make(map[int64]float64, len(accounts))
|
||
var first float64
|
||
distinct := false
|
||
for _, account := range accounts {
|
||
if account == nil {
|
||
continue
|
||
}
|
||
// 与 openAIUpstreamCostFactors 使用同一道平台门控:只有 OpenAI 平台账号
|
||
// 的倍率参与 legacy 低倍率优先排序。上游自报倍率来自中转方,不能让它对
|
||
// 其他平台的调度产生影响——否则自报低价即可吸走流量,而实际结算走本地倍率。
|
||
if !account.IsOpenAIApiKey() && !account.IsOpenAIOAuth() {
|
||
continue
|
||
}
|
||
rate, ok := openAISchedulingRate(account, now, oauthSchedulingRateMultiplier)
|
||
if !ok {
|
||
continue
|
||
}
|
||
if len(rates) == 0 {
|
||
first = rate
|
||
} else if rate != first {
|
||
distinct = true
|
||
}
|
||
rates[account.ID] = rate
|
||
}
|
||
return openAILegacyUpstreamRateOrder{enabled: len(rates) >= 2 && distinct, rates: rates}
|
||
}
|
||
|
||
func openAISchedulingRate(account *Account, now time.Time, oauthSchedulingRateMultiplier float64) (float64, bool) {
|
||
if account != nil && account.IsOpenAIOAuth() {
|
||
return oauthSchedulingRateMultiplier, true
|
||
}
|
||
return openAIFreshUpstreamBillingRate(account, now)
|
||
}
|
||
|
||
// compare returns -1 when a should be selected before b, 1 when b should be
|
||
// selected first, and 0 when the rate signal does not distinguish them.
|
||
func (o openAILegacyUpstreamRateOrder) compare(a, b *Account) int {
|
||
if !o.enabled || a == nil || b == nil {
|
||
return 0
|
||
}
|
||
aRate, aKnown := o.rates[a.ID]
|
||
bRate, bKnown := o.rates[b.ID]
|
||
if aKnown != bKnown {
|
||
if aKnown {
|
||
return -1
|
||
}
|
||
return 1
|
||
}
|
||
if !aKnown || aRate == bRate {
|
||
return 0
|
||
}
|
||
if aRate < bRate {
|
||
return -1
|
||
}
|
||
return 1
|
||
}
|
||
|
||
func openAIFreshUpstreamBillingRate(account *Account, now time.Time) (float64, bool) {
|
||
if !isUpstreamBillingProbeAccount(account) {
|
||
return 0, false
|
||
}
|
||
snapshot := decodeUpstreamBillingProbeSnapshot(account.Extra)
|
||
if snapshot == nil || (snapshot.Status != UpstreamBillingProbeStatusOK && snapshot.Status != UpstreamBillingProbeStatusFailed) ||
|
||
snapshot.ReceivedAt == nil || snapshot.ReceivedAt.IsZero() {
|
||
return 0, false
|
||
}
|
||
receivedAt := *snapshot.ReceivedAt
|
||
freshUntil := snapshot.FreshUntil
|
||
if freshUntil == nil && snapshot.Status == UpstreamBillingProbeStatusOK {
|
||
interval := snapshot.NextProbeAt.Sub(receivedAt)
|
||
if interval > 0 {
|
||
freshUntil = probeTimePtr(receivedAt.Add(2 * interval))
|
||
}
|
||
}
|
||
if freshUntil == nil || !freshUntil.After(receivedAt) || now.Before(receivedAt) || now.After(*freshUntil) {
|
||
return 0, false
|
||
}
|
||
return upstreamBillingRateAt(snapshot.Data, now)
|
||
}
|
||
|
||
func openAIQuotaHeadroomFactor(account *Account, now time.Time) float64 {
|
||
if account == nil || len(account.Extra) == 0 || openAIQuotaHeadroomSnapshotStale(account.Extra, now) {
|
||
return openAIQuotaHeadroomNeutralFactor
|
||
}
|
||
primaryUsedPercent, ok := resolveAccountExtraNumber(account.Extra, "codex_primary_used_percent", "codex_7d_used_percent")
|
||
if !ok || openAIQuotaWindowResetAny(account.Extra, now, "primary", "7d") {
|
||
return openAIQuotaHeadroomNeutralFactor
|
||
}
|
||
|
||
factor := 1 - clamp01(primaryUsedPercent/100)
|
||
if secondaryUsedPercent, ok := resolveAccountExtraNumber(account.Extra, "codex_secondary_used_percent", "codex_5h_used_percent"); ok &&
|
||
!openAIQuotaWindowResetAny(account.Extra, now, "secondary", "5h") {
|
||
secondaryRemaining := 1 - clamp01(secondaryUsedPercent/100)
|
||
if secondaryRemaining < openAIQuotaHeadroomSecondaryLowRemain {
|
||
factor *= openAIQuotaHeadroomNeutralFactor
|
||
}
|
||
}
|
||
return factor
|
||
}
|
||
|
||
func openAIQuotaHeadroomSnapshotStale(extra map[string]any, now time.Time) bool {
|
||
updatedRaw, ok := extra["codex_usage_updated_at"]
|
||
if !ok {
|
||
return true
|
||
}
|
||
updatedAt, err := parseTime(fmt.Sprint(updatedRaw))
|
||
if err != nil {
|
||
return true
|
||
}
|
||
return now.Sub(updatedAt) >= openAIQuotaHeadroomSnapshotStaleAfter
|
||
}
|
||
|
||
func openAIQuotaWindowResetAny(extra map[string]any, now time.Time, windows ...string) bool {
|
||
for _, window := range windows {
|
||
if openAIQuotaWindowReset(extra, window, now) {
|
||
return true
|
||
}
|
||
}
|
||
return false
|
||
}
|
||
|
||
func clamp01(value float64) float64 {
|
||
switch {
|
||
case value < 0:
|
||
return 0
|
||
case value > 1:
|
||
return 1
|
||
default:
|
||
return value
|
||
}
|
||
}
|
||
|
||
func calcLoadSkewByMoments(sum float64, sumSquares float64, count int) float64 {
|
||
if count <= 1 {
|
||
return 0
|
||
}
|
||
mean := sum / float64(count)
|
||
variance := sumSquares/float64(count) - mean*mean
|
||
if variance < 0 {
|
||
variance = 0
|
||
}
|
||
return math.Sqrt(variance)
|
||
}
|