7efa8b54c4
新增 DB/Redis 连接池配置与校验，并补充单测 网关请求体大小限制与 413 处理 HTTP/req 客户端池化并调整上游连接池默认值 并发槽位改为 ZSET+Lua 与指数退避 用量统计改 SQL 聚合并新增索引迁移 计费缓存写入改工作池并补测试/基准 测试: 在 backend/ 下运行 go test ./...
693 lines
19 KiB
Go
693 lines
19 KiB
Go
package service
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import (
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"context"
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"crypto/sha256"
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"encoding/hex"
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"encoding/json"
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"fmt"
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"log"
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"os"
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"path/filepath"
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"regexp"
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"strings"
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"sync"
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"time"
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"github.com/Wei-Shaw/sub2api/internal/config"
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"github.com/Wei-Shaw/sub2api/internal/pkg/openai"
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)
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var (
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openAIModelDatePattern = regexp.MustCompile(`-\d{8}$`)
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openAIModelBasePattern = regexp.MustCompile(`^(gpt-\d+(?:\.\d+)?)(?:-|$)`)
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)
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// LiteLLMModelPricing LiteLLM价格数据结构
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// 只保留我们需要的字段，使用指针来处理可能缺失的值
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type LiteLLMModelPricing struct {
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InputCostPerToken float64 `json:"input_cost_per_token"`
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OutputCostPerToken float64 `json:"output_cost_per_token"`
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CacheCreationInputTokenCost float64 `json:"cache_creation_input_token_cost"`
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CacheReadInputTokenCost float64 `json:"cache_read_input_token_cost"`
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LiteLLMProvider string `json:"litellm_provider"`
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Mode string `json:"mode"`
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SupportsPromptCaching bool `json:"supports_prompt_caching"`
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}
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// PricingRemoteClient 远程价格数据获取接口
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type PricingRemoteClient interface {
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FetchPricingJSON(ctx context.Context, url string) ([]byte, error)
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FetchHashText(ctx context.Context, url string) (string, error)
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}
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// LiteLLMRawEntry 用于解析原始JSON数据
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type LiteLLMRawEntry struct {
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InputCostPerToken *float64 `json:"input_cost_per_token"`
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OutputCostPerToken *float64 `json:"output_cost_per_token"`
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CacheCreationInputTokenCost *float64 `json:"cache_creation_input_token_cost"`
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CacheReadInputTokenCost *float64 `json:"cache_read_input_token_cost"`
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LiteLLMProvider string `json:"litellm_provider"`
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Mode string `json:"mode"`
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SupportsPromptCaching bool `json:"supports_prompt_caching"`
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}
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// PricingService 动态价格服务
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type PricingService struct {
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cfg *config.Config
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remoteClient PricingRemoteClient
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mu sync.RWMutex
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pricingData map[string]*LiteLLMModelPricing
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lastUpdated time.Time
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localHash string
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// 停止信号
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stopCh chan struct{}
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wg sync.WaitGroup
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}
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// NewPricingService 创建价格服务
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func NewPricingService(cfg *config.Config, remoteClient PricingRemoteClient) *PricingService {
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s := &PricingService{
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cfg: cfg,
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remoteClient: remoteClient,
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pricingData: make(map[string]*LiteLLMModelPricing),
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stopCh: make(chan struct{}),
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}
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return s
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}
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// Initialize 初始化价格服务
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func (s *PricingService) Initialize() error {
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// 确保数据目录存在
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if err := os.MkdirAll(s.cfg.Pricing.DataDir, 0755); err != nil {
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log.Printf("[Pricing] Failed to create data directory: %v", err)
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}
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// 首次加载价格数据
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if err := s.checkAndUpdatePricing(); err != nil {
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log.Printf("[Pricing] Initial load failed, using fallback: %v", err)
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if err := s.useFallbackPricing(); err != nil {
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return fmt.Errorf("failed to load pricing data: %w", err)
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}
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}
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// 启动定时更新
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s.startUpdateScheduler()
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log.Printf("[Pricing] Service initialized with %d models", len(s.pricingData))
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return nil
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}
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// Stop 停止价格服务
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func (s *PricingService) Stop() {
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close(s.stopCh)
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s.wg.Wait()
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log.Println("[Pricing] Service stopped")
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}
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// startUpdateScheduler 启动定时更新调度器
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func (s *PricingService) startUpdateScheduler() {
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// 定期检查哈希更新
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hashInterval := time.Duration(s.cfg.Pricing.HashCheckIntervalMinutes) * time.Minute
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if hashInterval < time.Minute {
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hashInterval = 10 * time.Minute
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}
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s.wg.Add(1)
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go func() {
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defer s.wg.Done()
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ticker := time.NewTicker(hashInterval)
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defer ticker.Stop()
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for {
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select {
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case <-ticker.C:
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if err := s.syncWithRemote(); err != nil {
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log.Printf("[Pricing] Sync failed: %v", err)
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}
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case <-s.stopCh:
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return
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}
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}
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}()
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log.Printf("[Pricing] Update scheduler started (check every %v)", hashInterval)
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}
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// checkAndUpdatePricing 检查并更新价格数据
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func (s *PricingService) checkAndUpdatePricing() error {
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pricingFile := s.getPricingFilePath()
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// 检查本地文件是否存在
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if _, err := os.Stat(pricingFile); os.IsNotExist(err) {
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log.Println("[Pricing] Local pricing file not found, downloading...")
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return s.downloadPricingData()
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}
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// 检查文件是否过期
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info, err := os.Stat(pricingFile)
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if err != nil {
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return s.downloadPricingData()
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}
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fileAge := time.Since(info.ModTime())
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maxAge := time.Duration(s.cfg.Pricing.UpdateIntervalHours) * time.Hour
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if fileAge > maxAge {
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log.Printf("[Pricing] Local file is %v old, updating...", fileAge.Round(time.Hour))
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if err := s.downloadPricingData(); err != nil {
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log.Printf("[Pricing] Download failed, using existing file: %v", err)
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}
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}
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// 加载本地文件
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return s.loadPricingData(pricingFile)
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}
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// syncWithRemote 与远程同步（基于哈希校验）
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func (s *PricingService) syncWithRemote() error {
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pricingFile := s.getPricingFilePath()
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// 计算本地文件哈希
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localHash, err := s.computeFileHash(pricingFile)
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if err != nil {
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log.Printf("[Pricing] Failed to compute local hash: %v", err)
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return s.downloadPricingData()
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}
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// 如果配置了哈希URL，从远程获取哈希进行比对
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if s.cfg.Pricing.HashURL != "" {
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remoteHash, err := s.fetchRemoteHash()
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if err != nil {
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log.Printf("[Pricing] Failed to fetch remote hash: %v", err)
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return nil // 哈希获取失败不影响正常使用
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}
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if remoteHash != localHash {
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log.Println("[Pricing] Remote hash differs, downloading new version...")
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return s.downloadPricingData()
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}
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log.Println("[Pricing] Hash check passed, no update needed")
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return nil
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}
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// 没有哈希URL时，基于时间检查
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info, err := os.Stat(pricingFile)
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if err != nil {
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return s.downloadPricingData()
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}
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fileAge := time.Since(info.ModTime())
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maxAge := time.Duration(s.cfg.Pricing.UpdateIntervalHours) * time.Hour
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if fileAge > maxAge {
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log.Printf("[Pricing] File is %v old, downloading...", fileAge.Round(time.Hour))
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return s.downloadPricingData()
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}
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return nil
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}
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// downloadPricingData 从远程下载价格数据
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func (s *PricingService) downloadPricingData() error {
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log.Printf("[Pricing] Downloading from %s", s.cfg.Pricing.RemoteURL)
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ctx, cancel := context.WithTimeout(context.Background(), 30*time.Second)
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defer cancel()
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body, err := s.remoteClient.FetchPricingJSON(ctx, s.cfg.Pricing.RemoteURL)
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if err != nil {
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return fmt.Errorf("download failed: %w", err)
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}
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// 解析JSON数据（使用灵活的解析方式）
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data, err := s.parsePricingData(body)
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if err != nil {
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return fmt.Errorf("parse pricing data: %w", err)
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}
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// 保存到本地文件
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pricingFile := s.getPricingFilePath()
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if err := os.WriteFile(pricingFile, body, 0644); err != nil {
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log.Printf("[Pricing] Failed to save file: %v", err)
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}
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// 保存哈希
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hash := sha256.Sum256(body)
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hashStr := hex.EncodeToString(hash[:])
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hashFile := s.getHashFilePath()
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if err := os.WriteFile(hashFile, []byte(hashStr+"\n"), 0644); err != nil {
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log.Printf("[Pricing] Failed to save hash: %v", err)
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}
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// 更新内存数据
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s.mu.Lock()
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s.pricingData = data
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s.lastUpdated = time.Now()
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s.localHash = hashStr
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s.mu.Unlock()
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log.Printf("[Pricing] Downloaded %d models successfully", len(data))
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return nil
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}
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// parsePricingData 解析价格数据（处理各种格式）
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func (s *PricingService) parsePricingData(body []byte) (map[string]*LiteLLMModelPricing, error) {
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// 首先解析为 map[string]json.RawMessage
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var rawData map[string]json.RawMessage
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if err := json.Unmarshal(body, &rawData); err != nil {
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return nil, fmt.Errorf("parse raw JSON: %w", err)
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}
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result := make(map[string]*LiteLLMModelPricing)
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skipped := 0
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for modelName, rawEntry := range rawData {
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// 跳过 sample_spec 等文档条目
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if modelName == "sample_spec" {
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continue
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}
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// 尝试解析每个条目
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var entry LiteLLMRawEntry
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if err := json.Unmarshal(rawEntry, &entry); err != nil {
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skipped++
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continue
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}
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// 只保留有有效价格的条目
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if entry.InputCostPerToken == nil && entry.OutputCostPerToken == nil {
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continue
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}
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pricing := &LiteLLMModelPricing{
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LiteLLMProvider: entry.LiteLLMProvider,
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Mode: entry.Mode,
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SupportsPromptCaching: entry.SupportsPromptCaching,
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}
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if entry.InputCostPerToken != nil {
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pricing.InputCostPerToken = *entry.InputCostPerToken
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}
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if entry.OutputCostPerToken != nil {
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pricing.OutputCostPerToken = *entry.OutputCostPerToken
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}
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if entry.CacheCreationInputTokenCost != nil {
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pricing.CacheCreationInputTokenCost = *entry.CacheCreationInputTokenCost
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}
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if entry.CacheReadInputTokenCost != nil {
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pricing.CacheReadInputTokenCost = *entry.CacheReadInputTokenCost
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}
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result[modelName] = pricing
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}
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if skipped > 0 {
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log.Printf("[Pricing] Skipped %d invalid entries", skipped)
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}
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if len(result) == 0 {
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return nil, fmt.Errorf("no valid pricing entries found")
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}
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return result, nil
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}
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// loadPricingData 从本地文件加载价格数据
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func (s *PricingService) loadPricingData(filePath string) error {
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data, err := os.ReadFile(filePath)
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if err != nil {
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return fmt.Errorf("read file failed: %w", err)
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}
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// 使用灵活的解析方式
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pricingData, err := s.parsePricingData(data)
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if err != nil {
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return fmt.Errorf("parse pricing data: %w", err)
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}
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// 计算哈希
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hash := sha256.Sum256(data)
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hashStr := hex.EncodeToString(hash[:])
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s.mu.Lock()
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s.pricingData = pricingData
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s.localHash = hashStr
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info, _ := os.Stat(filePath)
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if info != nil {
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s.lastUpdated = info.ModTime()
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} else {
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s.lastUpdated = time.Now()
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}
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s.mu.Unlock()
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log.Printf("[Pricing] Loaded %d models from %s", len(pricingData), filePath)
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return nil
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}
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// useFallbackPricing 使用回退价格文件
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func (s *PricingService) useFallbackPricing() error {
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fallbackFile := s.cfg.Pricing.FallbackFile
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if _, err := os.Stat(fallbackFile); os.IsNotExist(err) {
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return fmt.Errorf("fallback file not found: %s", fallbackFile)
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}
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log.Printf("[Pricing] Using fallback file: %s", fallbackFile)
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// 复制到数据目录
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data, err := os.ReadFile(fallbackFile)
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if err != nil {
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return fmt.Errorf("read fallback failed: %w", err)
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}
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pricingFile := s.getPricingFilePath()
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if err := os.WriteFile(pricingFile, data, 0644); err != nil {
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log.Printf("[Pricing] Failed to copy fallback: %v", err)
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}
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return s.loadPricingData(fallbackFile)
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}
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// fetchRemoteHash 从远程获取哈希值
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func (s *PricingService) fetchRemoteHash() (string, error) {
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ctx, cancel := context.WithTimeout(context.Background(), 10*time.Second)
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defer cancel()
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return s.remoteClient.FetchHashText(ctx, s.cfg.Pricing.HashURL)
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}
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// computeFileHash 计算文件哈希
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func (s *PricingService) computeFileHash(filePath string) (string, error) {
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data, err := os.ReadFile(filePath)
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if err != nil {
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return "", err
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}
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hash := sha256.Sum256(data)
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return hex.EncodeToString(hash[:]), nil
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}
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// GetModelPricing 获取模型价格（带模糊匹配）
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func (s *PricingService) GetModelPricing(modelName string) *LiteLLMModelPricing {
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s.mu.RLock()
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defer s.mu.RUnlock()
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if modelName == "" {
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return nil
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}
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// 标准化模型名称（同时兼容 "models/xxx"、VertexAI 资源名等前缀）
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modelLower := strings.ToLower(strings.TrimSpace(modelName))
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lookupCandidates := s.buildModelLookupCandidates(modelLower)
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// 1. 精确匹配
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for _, candidate := range lookupCandidates {
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if candidate == "" {
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continue
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}
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if pricing, ok := s.pricingData[candidate]; ok {
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return pricing
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}
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}
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// 2. 处理常见的模型名称变体
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// claude-opus-4-5-20251101 -> claude-opus-4.5-20251101
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for _, candidate := range lookupCandidates {
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normalized := strings.ReplaceAll(candidate, "-4-5-", "-4.5-")
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if pricing, ok := s.pricingData[normalized]; ok {
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return pricing
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}
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}
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// 3. 尝试模糊匹配（去掉版本号后缀）
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// claude-opus-4-5-20251101 -> claude-opus-4.5
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baseName := s.extractBaseName(lookupCandidates[0])
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for key, pricing := range s.pricingData {
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keyBase := s.extractBaseName(strings.ToLower(key))
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if keyBase == baseName {
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return pricing
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}
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}
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// 4. 基于模型系列匹配（Claude）
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if pricing := s.matchByModelFamily(lookupCandidates[0]); pricing != nil {
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return pricing
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}
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// 5. OpenAI 模型回退策略
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if strings.HasPrefix(lookupCandidates[0], "gpt-") {
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return s.matchOpenAIModel(lookupCandidates[0])
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}
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return nil
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}
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func (s *PricingService) buildModelLookupCandidates(modelLower string) []string {
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// Prefer canonical model name first (this also improves billing compatibility with "models/xxx").
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candidates := []string{
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normalizeModelNameForPricing(modelLower),
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modelLower,
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}
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candidates = append(candidates,
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strings.TrimPrefix(modelLower, "models/"),
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lastSegment(modelLower),
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lastSegment(strings.TrimPrefix(modelLower, "models/")),
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)
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seen := make(map[string]struct{}, len(candidates))
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out := make([]string, 0, len(candidates))
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for _, c := range candidates {
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c = strings.TrimSpace(c)
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if c == "" {
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continue
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}
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if _, ok := seen[c]; ok {
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continue
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}
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seen[c] = struct{}{}
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out = append(out, c)
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}
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if len(out) == 0 {
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return []string{modelLower}
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}
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return out
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}
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func normalizeModelNameForPricing(model string) string {
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// Common Gemini/VertexAI forms:
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// - models/gemini-2.0-flash-exp
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// - publishers/google/models/gemini-1.5-pro
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// - projects/.../locations/.../publishers/google/models/gemini-1.5-pro
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model = strings.TrimSpace(model)
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model = strings.TrimLeft(model, "/")
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model = strings.TrimPrefix(model, "models/")
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model = strings.TrimPrefix(model, "publishers/google/models/")
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if idx := strings.LastIndex(model, "/publishers/google/models/"); idx != -1 {
|
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model = model[idx+len("/publishers/google/models/"):]
|
||
}
|
||
if idx := strings.LastIndex(model, "/models/"); idx != -1 {
|
||
model = model[idx+len("/models/"):]
|
||
}
|
||
|
||
model = strings.TrimLeft(model, "/")
|
||
return model
|
||
}
|
||
|
||
func lastSegment(model string) string {
|
||
if idx := strings.LastIndex(model, "/"); idx != -1 {
|
||
return model[idx+1:]
|
||
}
|
||
return model
|
||
}
|
||
|
||
// extractBaseName 提取基础模型名称（去掉日期版本号）
|
||
func (s *PricingService) extractBaseName(model string) string {
|
||
// 移除日期后缀 (如 -20251101, -20241022)
|
||
parts := strings.Split(model, "-")
|
||
result := make([]string, 0, len(parts))
|
||
for _, part := range parts {
|
||
// 跳过看起来像日期的部分（8位数字）
|
||
if len(part) == 8 && isNumeric(part) {
|
||
continue
|
||
}
|
||
// 跳过版本号（如 v1:0）
|
||
if strings.Contains(part, ":") {
|
||
continue
|
||
}
|
||
result = append(result, part)
|
||
}
|
||
return strings.Join(result, "-")
|
||
}
|
||
|
||
// matchByModelFamily 基于模型系列匹配
|
||
func (s *PricingService) matchByModelFamily(model string) *LiteLLMModelPricing {
|
||
// Claude模型系列匹配规则
|
||
familyPatterns := map[string][]string{
|
||
"opus-4.5": {"claude-opus-4.5", "claude-opus-4-5"},
|
||
"opus-4": {"claude-opus-4", "claude-3-opus"},
|
||
"sonnet-4.5": {"claude-sonnet-4.5", "claude-sonnet-4-5"},
|
||
"sonnet-4": {"claude-sonnet-4", "claude-3-5-sonnet"},
|
||
"sonnet-3.5": {"claude-3-5-sonnet", "claude-3.5-sonnet"},
|
||
"sonnet-3": {"claude-3-sonnet"},
|
||
"haiku-3.5": {"claude-3-5-haiku", "claude-3.5-haiku"},
|
||
"haiku-3": {"claude-3-haiku"},
|
||
}
|
||
|
||
// 确定模型属于哪个系列
|
||
var matchedFamily string
|
||
for family, patterns := range familyPatterns {
|
||
for _, pattern := range patterns {
|
||
if strings.Contains(model, pattern) || strings.Contains(model, strings.ReplaceAll(pattern, "-", "")) {
|
||
matchedFamily = family
|
||
break
|
||
}
|
||
}
|
||
if matchedFamily != "" {
|
||
break
|
||
}
|
||
}
|
||
|
||
if matchedFamily == "" {
|
||
// 简单的系列匹配
|
||
if strings.Contains(model, "opus") {
|
||
if strings.Contains(model, "4.5") || strings.Contains(model, "4-5") {
|
||
matchedFamily = "opus-4.5"
|
||
} else {
|
||
matchedFamily = "opus-4"
|
||
}
|
||
} else if strings.Contains(model, "sonnet") {
|
||
if strings.Contains(model, "4.5") || strings.Contains(model, "4-5") {
|
||
matchedFamily = "sonnet-4.5"
|
||
} else if strings.Contains(model, "3-5") || strings.Contains(model, "3.5") {
|
||
matchedFamily = "sonnet-3.5"
|
||
} else {
|
||
matchedFamily = "sonnet-4"
|
||
}
|
||
} else if strings.Contains(model, "haiku") {
|
||
if strings.Contains(model, "3-5") || strings.Contains(model, "3.5") {
|
||
matchedFamily = "haiku-3.5"
|
||
} else {
|
||
matchedFamily = "haiku-3"
|
||
}
|
||
}
|
||
}
|
||
|
||
if matchedFamily == "" {
|
||
return nil
|
||
}
|
||
|
||
// 在价格数据中查找该系列的模型
|
||
patterns := familyPatterns[matchedFamily]
|
||
for _, pattern := range patterns {
|
||
for key, pricing := range s.pricingData {
|
||
keyLower := strings.ToLower(key)
|
||
if strings.Contains(keyLower, pattern) {
|
||
log.Printf("[Pricing] Fuzzy matched %s -> %s", model, key)
|
||
return pricing
|
||
}
|
||
}
|
||
}
|
||
|
||
return nil
|
||
}
|
||
|
||
// matchOpenAIModel OpenAI 模型回退匹配策略
|
||
// 回退顺序：
|
||
// 1. gpt-5.2-codex -> gpt-5.2（去掉后缀如 -codex, -mini, -max 等）
|
||
// 2. gpt-5.2-20251222 -> gpt-5.2（去掉日期版本号）
|
||
// 3. 最终回退到 DefaultTestModel (gpt-5.1-codex)
|
||
func (s *PricingService) matchOpenAIModel(model string) *LiteLLMModelPricing {
|
||
// 尝试的回退变体
|
||
variants := s.generateOpenAIModelVariants(model, openAIModelDatePattern)
|
||
|
||
for _, variant := range variants {
|
||
if pricing, ok := s.pricingData[variant]; ok {
|
||
log.Printf("[Pricing] OpenAI fallback matched %s -> %s", model, variant)
|
||
return pricing
|
||
}
|
||
}
|
||
|
||
// 最终回退到 DefaultTestModel
|
||
defaultModel := strings.ToLower(openai.DefaultTestModel)
|
||
if pricing, ok := s.pricingData[defaultModel]; ok {
|
||
log.Printf("[Pricing] OpenAI fallback to default model %s -> %s", model, defaultModel)
|
||
return pricing
|
||
}
|
||
|
||
return nil
|
||
}
|
||
|
||
// generateOpenAIModelVariants 生成 OpenAI 模型的回退变体列表
|
||
func (s *PricingService) generateOpenAIModelVariants(model string, datePattern *regexp.Regexp) []string {
|
||
seen := make(map[string]bool)
|
||
var variants []string
|
||
|
||
addVariant := func(v string) {
|
||
if v != model && !seen[v] {
|
||
seen[v] = true
|
||
variants = append(variants, v)
|
||
}
|
||
}
|
||
|
||
// 1. 去掉日期版本号: gpt-5.2-20251222 -> gpt-5.2
|
||
withoutDate := datePattern.ReplaceAllString(model, "")
|
||
if withoutDate != model {
|
||
addVariant(withoutDate)
|
||
}
|
||
|
||
// 2. 提取基础版本号: gpt-5.2-codex -> gpt-5.2
|
||
// 只匹配纯数字版本号格式 gpt-X 或 gpt-X.Y，不匹配 gpt-4o 这种带字母后缀的
|
||
if matches := openAIModelBasePattern.FindStringSubmatch(model); len(matches) > 1 {
|
||
addVariant(matches[1])
|
||
}
|
||
|
||
// 3. 同时去掉日期后再提取基础版本号
|
||
if withoutDate != model {
|
||
if matches := openAIModelBasePattern.FindStringSubmatch(withoutDate); len(matches) > 1 {
|
||
addVariant(matches[1])
|
||
}
|
||
}
|
||
|
||
return variants
|
||
}
|
||
|
||
// GetStatus 获取服务状态
|
||
func (s *PricingService) GetStatus() map[string]any {
|
||
s.mu.RLock()
|
||
defer s.mu.RUnlock()
|
||
|
||
return map[string]any{
|
||
"model_count": len(s.pricingData),
|
||
"last_updated": s.lastUpdated,
|
||
"local_hash": s.localHash[:min(8, len(s.localHash))],
|
||
}
|
||
}
|
||
|
||
// ForceUpdate 强制更新
|
||
func (s *PricingService) ForceUpdate() error {
|
||
return s.downloadPricingData()
|
||
}
|
||
|
||
// getPricingFilePath 获取价格文件路径
|
||
func (s *PricingService) getPricingFilePath() string {
|
||
return filepath.Join(s.cfg.Pricing.DataDir, "model_pricing.json")
|
||
}
|
||
|
||
// getHashFilePath 获取哈希文件路径
|
||
func (s *PricingService) getHashFilePath() string {
|
||
return filepath.Join(s.cfg.Pricing.DataDir, "model_pricing.sha256")
|
||
}
|
||
|
||
// isNumeric 检查字符串是否为纯数字
|
||
func isNumeric(s string) bool {
|
||
for _, c := range s {
|
||
if c < '0' || c > '9' {
|
||
return false
|
||
}
|
||
}
|
||
return true
|
||
}
|