Major rewrite of the Go backend to support:
- Three API format imports: openai, anthropic, compatible
- Three protocol conversions: Chat Completions, Responses, Messages
- Hub-and-spoke architecture with Chat as intermediate format
Deleted:
- opencat.go (old entry)
- store/, team/, pkg/team/, pkg/store/ (old data layer)
- internal/model/, internal/consts/ (old types)
- internal/service/team/, internal/controller/team/ (old handlers)
- llm/ (removed LLM client library, pure proxy mode)
- dist/, assets/ (old build artifacts)
Added:
- internal/store/ — 9 GORM models + multi-DB support
- internal/pkg/ — crypto (AES-GCM), apikey, jwt, ratelimit, resp, tokenizer
- internal/channel/ — channel selection, weighted LB, health checks
- internal/proxy/convert/ — 6 protocol conversion functions + SSE streaming
- internal/proxy/ — gateway with request dispatch and upstream selection
- internal/usage/ — async usage recorder with batch writes
- internal/api/ — management API (auth, users, keys, channels, models)
- Makefile for build/test/deploy
Fixed API to match frontend expectations:
- Login response wraps token in { data: { token } }
- GET /api/profile route added
- Profile response wraps user in { code, data }
- Role returned as number (10=admin, 1=user)
141 lines
2.9 KiB
Go
141 lines
2.9 KiB
Go
package usage
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import (
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"context"
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"log"
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"opencatd-open/internal/dao"
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"opencatd-open/internal/store"
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"sync"
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"time"
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)
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// Event represents a usage event to be recorded
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type Event struct {
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UserID uint64
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ModelName string
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ChannelID uint64
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PromptTokens int
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CompletionTokens int
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CacheReadTokens int
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Cost float64
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IsError bool
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IsCanceled bool
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RequestID string
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}
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// Recorder handles async usage recording
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type Recorder struct {
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usageDAO *dao.UsageDAO
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dailyDAO *dao.DailyUsageDAO
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ch chan Event
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batchSize int
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flushInterval time.Duration
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wg sync.WaitGroup
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}
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// NewRecorder creates a new usage recorder
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func NewRecorder(usageDAO *dao.UsageDAO, dailyDAO *dao.DailyUsageDAO) *Recorder {
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return &Recorder{
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usageDAO: usageDAO,
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dailyDAO: dailyDAO,
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ch: make(chan Event, 10000),
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batchSize: 100,
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flushInterval: 5 * time.Second,
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}
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}
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// Start starts the recorder's background workers
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func (r *Recorder) Start(ctx context.Context) {
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r.wg.Add(1)
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go r.processLoop(ctx)
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}
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// Stop gracefully stops the recorder
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func (r *Recorder) Stop() {
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close(r.ch)
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r.wg.Wait()
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}
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// Record queues a usage event for async recording
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func (r *Recorder) Record(event Event) {
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select {
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case r.ch <- event:
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default:
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log.Printf("Usage channel full, dropping event for user %d model %s", event.UserID, event.ModelName)
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}
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}
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func (r *Recorder) processLoop(ctx context.Context) {
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defer r.wg.Done()
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batch := make([]Event, 0, r.batchSize)
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ticker := time.NewTicker(r.flushInterval)
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defer ticker.Stop()
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for {
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select {
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case <-ctx.Done():
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if len(batch) > 0 {
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r.flush(batch)
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}
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return
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case event, ok := <-r.ch:
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if !ok {
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if len(batch) > 0 {
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r.flush(batch)
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}
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return
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}
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batch = append(batch, event)
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if len(batch) >= r.batchSize {
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r.flush(batch)
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batch = make([]Event, 0, r.batchSize)
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}
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case <-ticker.C:
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if len(batch) > 0 {
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r.flush(batch)
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batch = make([]Event, 0, r.batchSize)
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}
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}
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}
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}
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func (r *Recorder) flush(events []Event) {
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if len(events) == 0 {
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return
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}
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// Batch create usage logs
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logs := make([]*store.UsageLog, 0, len(events))
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for _, e := range events {
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status := store.UsageStatusSuccess
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if e.IsError {
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status = store.UsageStatusError
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}
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if e.IsCanceled {
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status = store.UsageStatusCanceled
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}
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log := &store.UsageLog{
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UserID: e.UserID,
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ModelName: e.ModelName,
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ChannelID: e.ChannelID,
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InputTokens: int64(e.PromptTokens),
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OutputTokens: int64(e.CompletionTokens),
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CacheReadTokens: int64(e.CacheReadTokens),
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Cost: e.Cost,
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Status: status,
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RequestID: e.RequestID,
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}
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logs = append(logs, log)
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}
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// Write to database
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if err := r.usageDAO.BatchCreate(context.Background(), logs); err != nil {
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log.Printf("Failed to batch create usage logs: %v", err)
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}
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log.Printf("Flushed %d usage logs", len(logs))
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}
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