Compare commits
| Author | SHA1 | Date | |
|---|---|---|---|
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b2cebe1ba7 | ||
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d8fe3f5a3c |
@@ -0,0 +1,331 @@
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package batching
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import (
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"fmt"
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"sync"
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"time"
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)
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// GitOp represents a git operation to be batched
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type GitOp struct {
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OpType string // "commit", "push", "merge"
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Branch string
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Message string
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Files []string
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Timestamp time.Time
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ID string
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}
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// GitBatch represents a batch of git operations
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type GitBatch struct {
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ID string
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Operations []*GitOp
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CreatedAt time.Time
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ExecutedAt time.Time
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Status string // "pending", "executing", "completed", "failed"
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Error error
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}
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// GitBatcher batches git operations for efficient execution
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type GitBatcher struct {
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mu sync.RWMutex
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queue []*GitOp
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maxBatchSize int
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maxBatchAge time.Duration
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lastFlushTime time.Time
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executedBatches []*GitBatch
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pendingBatches []*GitBatch
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stats *BatchStats
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flushChan chan struct{}
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stopChan chan struct{}
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}
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// BatchStats tracks batching statistics
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type BatchStats struct {
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TotalOps int
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TotalBatches int
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AvgOpsPerBatch float64
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NetworkSavings int // Estimated network round trips saved
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TotalExecuteTime time.Duration
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}
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// NewGitBatcher creates a new git batcher
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func NewGitBatcher(maxBatchSize int, maxBatchAge time.Duration) *GitBatcher {
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if maxBatchSize <= 0 {
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maxBatchSize = 10
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}
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if maxBatchAge <= 0 {
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maxBatchAge = 5 * time.Second
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}
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return &GitBatcher{
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queue: make([]*GitOp, 0),
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maxBatchSize: maxBatchSize,
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maxBatchAge: maxBatchAge,
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lastFlushTime: time.Now(),
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executedBatches: make([]*GitBatch, 0),
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pendingBatches: make([]*GitBatch, 0),
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stats: &BatchStats{
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TotalOps: 0,
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TotalBatches: 0,
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},
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flushChan: make(chan struct{}, 1),
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stopChan: make(chan struct{}),
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}
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}
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// Enqueue adds a git operation to the queue
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func (gb *GitBatcher) Enqueue(op *GitOp) {
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if op == nil {
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return
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}
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op.Timestamp = time.Now()
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gb.mu.Lock()
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defer gb.mu.Unlock()
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gb.queue = append(gb.queue, op)
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gb.stats.TotalOps++
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// Auto-flush if batch is full
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if len(gb.queue) >= gb.maxBatchSize {
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gb.flushLocked()
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}
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}
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// flushLocked creates a batch from queued operations (must be called with lock held)
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func (gb *GitBatcher) flushLocked() {
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if len(gb.queue) == 0 {
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return
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}
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batch := &GitBatch{
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ID: fmt.Sprintf("batch-%d", gb.stats.TotalBatches),
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Operations: make([]*GitOp, len(gb.queue)),
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CreatedAt: time.Now(),
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Status: "pending",
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}
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copy(batch.Operations, gb.queue)
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gb.pendingBatches = append(gb.pendingBatches, batch)
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gb.queue = make([]*GitOp, 0)
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gb.lastFlushTime = time.Now()
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gb.stats.TotalBatches++
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}
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// Flush manually flushes the current batch
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func (gb *GitBatcher) Flush() {
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gb.mu.Lock()
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defer gb.mu.Unlock()
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gb.flushLocked()
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}
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// GetPendingBatch returns the next pending batch without removing it
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func (gb *GitBatcher) GetPendingBatch() *GitBatch {
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gb.mu.RLock()
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defer gb.mu.RUnlock()
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if len(gb.pendingBatches) == 0 {
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return nil
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}
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return gb.pendingBatches[0]
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}
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// MarkBatchExecuting marks a batch as executing
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func (gb *GitBatcher) MarkBatchExecuting(batchID string) {
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gb.mu.Lock()
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defer gb.mu.Unlock()
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for _, batch := range gb.pendingBatches {
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if batch.ID == batchID {
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batch.Status = "executing"
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break
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}
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}
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}
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// MarkBatchCompleted marks a batch as completed and removes from pending
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func (gb *GitBatcher) MarkBatchCompleted(batchID string) {
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gb.mu.Lock()
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defer gb.mu.Unlock()
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var idx int
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var found *GitBatch
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for i, batch := range gb.pendingBatches {
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if batch.ID == batchID {
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idx = i
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found = batch
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break
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}
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}
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if found != nil {
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found.Status = "completed"
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found.ExecutedAt = time.Now()
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// Move to executed batches
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gb.executedBatches = append(gb.executedBatches, found)
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// Remove from pending
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gb.pendingBatches = append(gb.pendingBatches[:idx], gb.pendingBatches[idx+1:]...)
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}
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}
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// MarkBatchFailed marks a batch as failed with an error
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func (gb *GitBatcher) MarkBatchFailed(batchID string, err error) {
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gb.mu.Lock()
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defer gb.mu.Unlock()
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var found *GitBatch
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for _, batch := range gb.pendingBatches {
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if batch.ID == batchID {
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found = batch
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break
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}
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}
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if found != nil {
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found.Status = "failed"
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found.Error = err
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found.ExecutedAt = time.Now()
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// Keep in pending (for retry logic)
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// Could also move to failed queue
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}
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}
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// QueueSize returns the current queue size
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func (gb *GitBatcher) QueueSize() int {
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gb.mu.RLock()
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defer gb.mu.RUnlock()
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return len(gb.queue)
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}
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// PendingBatchCount returns the number of pending batches
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func (gb *GitBatcher) PendingBatchCount() int {
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gb.mu.RLock()
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defer gb.mu.RUnlock()
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return len(gb.pendingBatches)
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}
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// GetStats returns batching statistics
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func (gb *GitBatcher) GetStats() *BatchStats {
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gb.mu.RLock()
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defer gb.mu.RUnlock()
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stats := *gb.stats
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if stats.TotalBatches > 0 {
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stats.AvgOpsPerBatch = float64(stats.TotalOps) / float64(stats.TotalBatches)
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// Estimated savings: each batch saves (ops-1) round trips
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stats.NetworkSavings = stats.TotalOps - stats.TotalBatches
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}
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return &stats
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}
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// GetExecutedBatches returns all executed batches
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func (gb *GitBatcher) GetExecutedBatches() []*GitBatch {
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gb.mu.RLock()
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defer gb.mu.RUnlock()
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result := make([]*GitBatch, len(gb.executedBatches))
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copy(result, gb.executedBatches)
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return result
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}
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// GetBatchByID returns a specific batch by ID
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func (gb *GitBatcher) GetBatchByID(batchID string) *GitBatch {
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gb.mu.RLock()
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defer gb.mu.RUnlock()
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for _, batch := range gb.pendingBatches {
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if batch.ID == batchID {
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return batch
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}
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}
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for _, batch := range gb.executedBatches {
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if batch.ID == batchID {
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return batch
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}
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}
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return nil
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}
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// TimeSinceLastFlush returns time since last flush
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func (gb *GitBatcher) TimeSinceLastFlush() time.Duration {
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gb.mu.RLock()
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defer gb.mu.RUnlock()
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return time.Since(gb.lastFlushTime)
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}
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// ShouldFlush checks if batch should be flushed based on age
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func (gb *GitBatcher) ShouldFlush() bool {
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gb.mu.RLock()
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defer gb.mu.RUnlock()
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if len(gb.queue) == 0 {
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return false
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}
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return time.Since(gb.lastFlushTime) >= gb.maxBatchAge
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}
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// Clear clears all pending operations and batches
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func (gb *GitBatcher) Clear() {
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gb.mu.Lock()
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defer gb.mu.Unlock()
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gb.queue = make([]*GitOp, 0)
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gb.pendingBatches = make([]*GitBatch, 0)
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gb.executedBatches = make([]*GitBatch, 0)
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}
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// GetQueuedOps returns a copy of queued operations
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func (gb *GitBatcher) GetQueuedOps() []*GitOp {
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gb.mu.RLock()
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defer gb.mu.RUnlock()
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ops := make([]*GitOp, len(gb.queue))
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copy(ops, gb.queue)
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return ops
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}
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// CalculateNetworkSavings calculates estimated network round trips saved
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func (gb *GitBatcher) CalculateNetworkSavings() int {
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gb.mu.RLock()
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defer gb.mu.RUnlock()
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totalSavings := 0
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// Each batch of N operations saves N-1 round trips
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for _, batch := range gb.executedBatches {
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if len(batch.Operations) > 1 {
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totalSavings += len(batch.Operations) - 1
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}
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}
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return totalSavings
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}
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// GetBatchInfo returns human-readable batch information
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func (batch *GitBatch) GetInfo() map[string]interface{} {
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return map[string]interface{}{
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"id": batch.ID,
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"status": batch.Status,
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"op_count": len(batch.Operations),
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"created_at": batch.CreatedAt,
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"executed_at": batch.ExecutedAt,
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"duration": batch.ExecutedAt.Sub(batch.CreatedAt),
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"error": batch.Error,
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}
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}
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@@ -0,0 +1,355 @@
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package batching
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import (
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"testing"
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"time"
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"github.com/stretchr/testify/assert"
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)
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func TestNewGitBatcher(t *testing.T) {
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batcher := NewGitBatcher(10, 5*time.Second)
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assert.NotNil(t, batcher)
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assert.Equal(t, 0, batcher.QueueSize())
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}
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func TestEnqueueOperation(t *testing.T) {
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batcher := NewGitBatcher(10, 5*time.Second)
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op := &GitOp{
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OpType: "commit",
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Branch: "main",
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Message: "Add feature",
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Files: []string{"file1.go"},
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}
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batcher.Enqueue(op)
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assert.Equal(t, 1, batcher.QueueSize())
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}
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func TestEnqueueMultipleOps(t *testing.T) {
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batcher := NewGitBatcher(10, 5*time.Second)
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for i := 0; i < 5; i++ {
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op := &GitOp{
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OpType: "commit",
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Branch: "main",
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Message: "Commit",
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}
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batcher.Enqueue(op)
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}
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assert.Equal(t, 5, batcher.QueueSize())
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}
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func TestAutoFlushOnMaxBatchSize(t *testing.T) {
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batcher := NewGitBatcher(5, 10*time.Second)
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for i := 0; i < 5; i++ {
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op := &GitOp{
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OpType: "commit",
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Branch: "main",
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Message: "Commit",
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}
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batcher.Enqueue(op)
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}
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// After 5 ops, should auto-flush
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assert.Equal(t, 0, batcher.QueueSize())
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assert.Equal(t, 1, batcher.PendingBatchCount())
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}
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func TestManualFlush(t *testing.T) {
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batcher := NewGitBatcher(10, 5*time.Second)
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op := &GitOp{
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OpType: "commit",
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Branch: "main",
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Message: "Commit",
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}
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batcher.Enqueue(op)
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assert.Equal(t, 1, batcher.QueueSize())
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batcher.Flush()
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assert.Equal(t, 0, batcher.QueueSize())
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assert.Equal(t, 1, batcher.PendingBatchCount())
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}
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func TestGetPendingBatch(t *testing.T) {
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batcher := NewGitBatcher(10, 5*time.Second)
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op := &GitOp{
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OpType: "commit",
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Branch: "main",
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Message: "Commit",
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}
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batcher.Enqueue(op)
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batcher.Flush()
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batch := batcher.GetPendingBatch()
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assert.NotNil(t, batch)
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assert.Equal(t, 1, len(batch.Operations))
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}
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func TestMarkBatchExecuting(t *testing.T) {
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batcher := NewGitBatcher(10, 5*time.Second)
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op := &GitOp{OpType: "commit"}
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batcher.Enqueue(op)
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batcher.Flush()
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batch := batcher.GetPendingBatch()
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batcher.MarkBatchExecuting(batch.ID)
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updated := batcher.GetBatchByID(batch.ID)
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assert.Equal(t, "executing", updated.Status)
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}
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func TestMarkBatchCompleted(t *testing.T) {
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batcher := NewGitBatcher(10, 5*time.Second)
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op := &GitOp{OpType: "commit"}
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batcher.Enqueue(op)
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batcher.Flush()
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batch := batcher.GetPendingBatch()
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batcher.MarkBatchCompleted(batch.ID)
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executed := batcher.GetExecutedBatches()
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assert.Equal(t, 1, len(executed))
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assert.Equal(t, "completed", executed[0].Status)
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}
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func TestMarkBatchFailed(t *testing.T) {
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batcher := NewGitBatcher(10, 5*time.Second)
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op := &GitOp{OpType: "commit"}
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batcher.Enqueue(op)
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batcher.Flush()
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batch := batcher.GetPendingBatch()
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testErr := assert.AnError
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batcher.MarkBatchFailed(batch.ID, testErr)
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failed := batcher.GetBatchByID(batch.ID)
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assert.Equal(t, "failed", failed.Status)
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assert.Error(t, failed.Error)
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}
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func TestGetStats(t *testing.T) {
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batcher := NewGitBatcher(5, 5*time.Second)
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// Add 10 ops (will create 2 batches of 5 each)
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for i := 0; i < 10; i++ {
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op := &GitOp{OpType: "commit"}
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batcher.Enqueue(op)
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}
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stats := batcher.GetStats()
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assert.Equal(t, 10, stats.TotalOps)
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assert.Equal(t, 2, stats.TotalBatches)
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assert.Equal(t, 5.0, stats.AvgOpsPerBatch)
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// 10 ops in 2 batches saves 8 round trips (5-1 + 5-1)
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assert.Equal(t, 8, stats.NetworkSavings)
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}
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func TestQueueSize(t *testing.T) {
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batcher := NewGitBatcher(10, 5*time.Second)
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op := &GitOp{OpType: "commit"}
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batcher.Enqueue(op)
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assert.Equal(t, 1, batcher.QueueSize())
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}
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func TestPendingBatchCount(t *testing.T) {
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batcher := NewGitBatcher(10, 5*time.Second)
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op := &GitOp{OpType: "commit"}
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batcher.Enqueue(op)
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batcher.Flush()
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|
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assert.Equal(t, 1, batcher.PendingBatchCount())
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}
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|
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func TestGetExecutedBatches(t *testing.T) {
|
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batcher := NewGitBatcher(10, 5*time.Second)
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||||
|
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// Create and execute batches
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for i := 0; i < 2; i++ {
|
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op := &GitOp{OpType: "commit"}
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batcher.Enqueue(op)
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batcher.Flush()
|
||||
|
||||
batch := batcher.GetPendingBatch()
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||||
batcher.MarkBatchCompleted(batch.ID)
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}
|
||||
|
||||
executed := batcher.GetExecutedBatches()
|
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assert.Equal(t, 2, len(executed))
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}
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||||
|
||||
func TestTimeSinceLastFlush(t *testing.T) {
|
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batcher := NewGitBatcher(10, 5*time.Second)
|
||||
|
||||
op := &GitOp{OpType: "commit"}
|
||||
batcher.Enqueue(op)
|
||||
batcher.Flush()
|
||||
|
||||
time.Sleep(100 * time.Millisecond)
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elapsed := batcher.TimeSinceLastFlush()
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||||
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||||
assert.Greater(t, elapsed, 50*time.Millisecond)
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assert.Less(t, elapsed, 200*time.Millisecond)
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||||
}
|
||||
|
||||
func TestShouldFlush(t *testing.T) {
|
||||
batcher := NewGitBatcher(100, 100*time.Millisecond)
|
||||
|
||||
// Empty queue should not flush
|
||||
assert.False(t, batcher.ShouldFlush())
|
||||
|
||||
// Enqueue but not old enough
|
||||
op := &GitOp{OpType: "commit"}
|
||||
batcher.Enqueue(op)
|
||||
assert.False(t, batcher.ShouldFlush())
|
||||
|
||||
// Wait for age to exceed max age
|
||||
time.Sleep(150 * time.Millisecond)
|
||||
assert.True(t, batcher.ShouldFlush())
|
||||
}
|
||||
|
||||
func TestClear(t *testing.T) {
|
||||
batcher := NewGitBatcher(10, 5*time.Second)
|
||||
|
||||
op := &GitOp{OpType: "commit"}
|
||||
batcher.Enqueue(op)
|
||||
batcher.Flush()
|
||||
|
||||
assert.Equal(t, 1, batcher.PendingBatchCount())
|
||||
|
||||
batcher.Clear()
|
||||
assert.Equal(t, 0, batcher.QueueSize())
|
||||
assert.Equal(t, 0, batcher.PendingBatchCount())
|
||||
}
|
||||
|
||||
func TestGetQueuedOps(t *testing.T) {
|
||||
batcher := NewGitBatcher(10, 5*time.Second)
|
||||
|
||||
ops := []*GitOp{
|
||||
{OpType: "commit", Message: "Commit 1"},
|
||||
{OpType: "commit", Message: "Commit 2"},
|
||||
{OpType: "commit", Message: "Commit 3"},
|
||||
}
|
||||
|
||||
for _, op := range ops {
|
||||
batcher.Enqueue(op)
|
||||
}
|
||||
|
||||
queued := batcher.GetQueuedOps()
|
||||
assert.Equal(t, 3, len(queued))
|
||||
assert.Equal(t, "Commit 1", queued[0].Message)
|
||||
assert.Equal(t, "Commit 3", queued[2].Message)
|
||||
}
|
||||
|
||||
func TestCalculateNetworkSavings(t *testing.T) {
|
||||
batcher := NewGitBatcher(3, 5*time.Second)
|
||||
|
||||
// Add 6 ops (will create 2 batches of 3 each)
|
||||
for i := 0; i < 6; i++ {
|
||||
op := &GitOp{OpType: "commit"}
|
||||
batcher.Enqueue(op)
|
||||
}
|
||||
|
||||
// Mark both batches as completed
|
||||
for i := 0; i < 2; i++ {
|
||||
batch := batcher.GetPendingBatch()
|
||||
if batch != nil {
|
||||
batcher.MarkBatchCompleted(batch.ID)
|
||||
}
|
||||
}
|
||||
|
||||
savings := batcher.CalculateNetworkSavings()
|
||||
// 2 batches of 3 each saves 4 round trips (3-1 + 3-1)
|
||||
assert.Equal(t, 4, savings)
|
||||
}
|
||||
|
||||
func TestGetBatchByID(t *testing.T) {
|
||||
batcher := NewGitBatcher(10, 5*time.Second)
|
||||
|
||||
op := &GitOp{OpType: "commit"}
|
||||
batcher.Enqueue(op)
|
||||
batcher.Flush()
|
||||
|
||||
batch := batcher.GetPendingBatch()
|
||||
retrieved := batcher.GetBatchByID(batch.ID)
|
||||
|
||||
assert.NotNil(t, retrieved)
|
||||
assert.Equal(t, batch.ID, retrieved.ID)
|
||||
}
|
||||
|
||||
func TestGetBatchInfo(t *testing.T) {
|
||||
batch := &GitBatch{
|
||||
ID: "test-batch",
|
||||
Status: "completed",
|
||||
CreatedAt: time.Now(),
|
||||
ExecutedAt: time.Now().Add(1 * time.Second),
|
||||
}
|
||||
|
||||
info := batch.GetInfo()
|
||||
assert.Equal(t, "test-batch", info["id"])
|
||||
assert.Equal(t, "completed", info["status"])
|
||||
}
|
||||
|
||||
func TestMultipleBatches(t *testing.T) {
|
||||
batcher := NewGitBatcher(3, 5*time.Second)
|
||||
|
||||
// Create 3 batches
|
||||
for batch := 0; batch < 3; batch++ {
|
||||
for i := 0; i < 3; i++ {
|
||||
op := &GitOp{
|
||||
OpType: "commit",
|
||||
Branch: "main",
|
||||
}
|
||||
batcher.Enqueue(op)
|
||||
}
|
||||
}
|
||||
|
||||
// All 3 batches should be pending
|
||||
assert.Equal(t, 3, batcher.PendingBatchCount())
|
||||
assert.Equal(t, 0, batcher.QueueSize())
|
||||
}
|
||||
|
||||
func TestEnqueueNil(t *testing.T) {
|
||||
batcher := NewGitBatcher(10, 5*time.Second)
|
||||
|
||||
// Enqueueing nil should not fail
|
||||
batcher.Enqueue(nil)
|
||||
assert.Equal(t, 0, batcher.QueueSize())
|
||||
}
|
||||
|
||||
func BenchmarkEnqueue(b *testing.B) {
|
||||
batcher := NewGitBatcher(1000, 10*time.Second)
|
||||
|
||||
for i := 0; i < b.N; i++ {
|
||||
op := &GitOp{
|
||||
OpType: "commit",
|
||||
Branch: "main",
|
||||
Message: "Commit",
|
||||
}
|
||||
batcher.Enqueue(op)
|
||||
}
|
||||
}
|
||||
|
||||
func BenchmarkFlush(b *testing.B) {
|
||||
batcher := NewGitBatcher(1000, 10*time.Second)
|
||||
|
||||
for i := 0; i < b.N; i++ {
|
||||
op := &GitOp{OpType: "commit"}
|
||||
batcher.Enqueue(op)
|
||||
|
||||
if (i + 1) % 100 == 0 {
|
||||
batcher.Flush()
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,373 @@
|
||||
package batching
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"sync"
|
||||
"time"
|
||||
)
|
||||
|
||||
// LLMRequest represents a single LLM request to be batched
|
||||
type LLMRequest struct {
|
||||
ID string `json:"id"`
|
||||
Type string `json:"type"` // "implementer", "judge", "planner"
|
||||
Model string `json:"model"`
|
||||
Prompt string `json:"prompt"`
|
||||
Metadata map[string]interface{} `json:"metadata,omitempty"`
|
||||
Timestamp time.Time `json:"timestamp"`
|
||||
ResultCh chan *LLMResult `json:"-"`
|
||||
}
|
||||
|
||||
// LLMResult represents the result of a single LLM request
|
||||
type LLMResult struct {
|
||||
RequestID string `json:"request_id"`
|
||||
Response string `json:"response"`
|
||||
Error error `json:"error,omitempty"`
|
||||
Duration time.Duration `json:"duration"`
|
||||
TokenCount int `json:"token_count"`
|
||||
Metadata map[string]interface{} `json:"metadata,omitempty"`
|
||||
}
|
||||
|
||||
// LLMBatch represents a batch of LLM requests
|
||||
type LLMBatch struct {
|
||||
ID string
|
||||
Requests []*LLMRequest
|
||||
Model string
|
||||
Type string
|
||||
CreatedAt time.Time
|
||||
ExecutedAt time.Time
|
||||
Status string // "pending", "executing", "completed", "failed"
|
||||
Error error
|
||||
Results map[string]*LLMResult
|
||||
ExecutionTime time.Duration
|
||||
}
|
||||
|
||||
// LLMBatcher batches LLM requests for efficient API usage
|
||||
type LLMBatcher struct {
|
||||
mu sync.RWMutex
|
||||
queue []*LLMRequest
|
||||
maxBatchSize int
|
||||
maxBatchAge time.Duration
|
||||
lastFlushTime time.Time
|
||||
executedBatches []*LLMBatch
|
||||
pendingBatches []*LLMBatch
|
||||
stats *LLMBatchStats
|
||||
}
|
||||
|
||||
// LLMBatchStats tracks LLM batching statistics
|
||||
type LLMBatchStats struct {
|
||||
TotalRequests int
|
||||
TotalBatches int
|
||||
AvgRequestsPerBatch float64
|
||||
APICallsSaved int // Total API calls saved (individual requests - batches)
|
||||
TotalTokens int
|
||||
TotalExecutionTime time.Duration
|
||||
}
|
||||
|
||||
// NewLLMBatcher creates a new LLM batcher
|
||||
func NewLLMBatcher(maxBatchSize int, maxBatchAge time.Duration) *LLMBatcher {
|
||||
if maxBatchSize <= 0 {
|
||||
maxBatchSize = 10
|
||||
}
|
||||
if maxBatchAge <= 0 {
|
||||
maxBatchAge = 2 * time.Second
|
||||
}
|
||||
|
||||
return &LLMBatcher{
|
||||
queue: make([]*LLMRequest, 0),
|
||||
maxBatchSize: maxBatchSize,
|
||||
maxBatchAge: maxBatchAge,
|
||||
lastFlushTime: time.Now(),
|
||||
executedBatches: make([]*LLMBatch, 0),
|
||||
pendingBatches: make([]*LLMBatch, 0),
|
||||
stats: &LLMBatchStats{
|
||||
TotalRequests: 0,
|
||||
TotalBatches: 0,
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
// Enqueue adds an LLM request to the queue
|
||||
func (lb *LLMBatcher) Enqueue(req *LLMRequest) {
|
||||
if req == nil {
|
||||
return
|
||||
}
|
||||
|
||||
if req.ID == "" {
|
||||
req.ID = fmt.Sprintf("req-%d", time.Now().UnixNano())
|
||||
}
|
||||
|
||||
req.Timestamp = time.Now()
|
||||
if req.ResultCh == nil {
|
||||
req.ResultCh = make(chan *LLMResult, 1)
|
||||
}
|
||||
|
||||
lb.mu.Lock()
|
||||
defer lb.mu.Unlock()
|
||||
|
||||
lb.queue = append(lb.queue, req)
|
||||
lb.stats.TotalRequests++
|
||||
|
||||
// Auto-flush if batch is full
|
||||
if len(lb.queue) >= lb.maxBatchSize {
|
||||
lb.flushLocked()
|
||||
}
|
||||
}
|
||||
|
||||
// flushLocked creates a batch from queued requests (must be called with lock held)
|
||||
func (lb *LLMBatcher) flushLocked() {
|
||||
if len(lb.queue) == 0 {
|
||||
return
|
||||
}
|
||||
|
||||
// Group by type and model
|
||||
groups := make(map[string][]*LLMRequest)
|
||||
for _, req := range lb.queue {
|
||||
key := fmt.Sprintf("%s:%s", req.Type, req.Model)
|
||||
groups[key] = append(groups[key], req)
|
||||
}
|
||||
|
||||
// Create batch for each group
|
||||
for key, reqs := range groups {
|
||||
batch := &LLMBatch{
|
||||
ID: fmt.Sprintf("batch-%d", lb.stats.TotalBatches),
|
||||
Requests: reqs,
|
||||
Model: reqs[0].Model,
|
||||
Type: reqs[0].Type,
|
||||
CreatedAt: time.Now(),
|
||||
Status: "pending",
|
||||
Results: make(map[string]*LLMResult),
|
||||
}
|
||||
|
||||
lb.pendingBatches = append(lb.pendingBatches, batch)
|
||||
lb.stats.TotalBatches++
|
||||
_ = key // Silence unused variable warning
|
||||
}
|
||||
|
||||
lb.queue = make([]*LLMRequest, 0)
|
||||
lb.lastFlushTime = time.Now()
|
||||
}
|
||||
|
||||
// Flush manually flushes the current queue
|
||||
func (lb *LLMBatcher) Flush() {
|
||||
lb.mu.Lock()
|
||||
defer lb.mu.Unlock()
|
||||
|
||||
lb.flushLocked()
|
||||
}
|
||||
|
||||
// GetPendingBatch returns the next pending batch without removing it
|
||||
func (lb *LLMBatcher) GetPendingBatch() *LLMBatch {
|
||||
lb.mu.RLock()
|
||||
defer lb.mu.RUnlock()
|
||||
|
||||
if len(lb.pendingBatches) == 0 {
|
||||
return nil
|
||||
}
|
||||
|
||||
return lb.pendingBatches[0]
|
||||
}
|
||||
|
||||
// MarkBatchExecuting marks a batch as executing
|
||||
func (lb *LLMBatcher) MarkBatchExecuting(batchID string) {
|
||||
lb.mu.Lock()
|
||||
defer lb.mu.Unlock()
|
||||
|
||||
for _, batch := range lb.pendingBatches {
|
||||
if batch.ID == batchID {
|
||||
batch.Status = "executing"
|
||||
break
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// MarkBatchCompleted marks a batch as completed and delivers results
|
||||
func (lb *LLMBatcher) MarkBatchCompleted(batchID string, results map[string]*LLMResult) {
|
||||
lb.mu.Lock()
|
||||
defer lb.mu.Unlock()
|
||||
|
||||
var idx int
|
||||
var found *LLMBatch
|
||||
for i, batch := range lb.pendingBatches {
|
||||
if batch.ID == batchID {
|
||||
idx = i
|
||||
found = batch
|
||||
break
|
||||
}
|
||||
}
|
||||
|
||||
if found != nil {
|
||||
found.Status = "completed"
|
||||
found.ExecutedAt = time.Now()
|
||||
found.ExecutionTime = found.ExecutedAt.Sub(found.CreatedAt)
|
||||
found.Results = results
|
||||
|
||||
// Deliver results to request channels
|
||||
for _, req := range found.Requests {
|
||||
if result, exists := results[req.ID]; exists {
|
||||
select {
|
||||
case req.ResultCh <- result:
|
||||
default:
|
||||
// Channel not ready or closed
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Update stats
|
||||
lb.stats.TotalTokens += countTokensInBatch(found)
|
||||
lb.stats.TotalExecutionTime += found.ExecutionTime
|
||||
|
||||
// Move to executed batches
|
||||
lb.executedBatches = append(lb.executedBatches, found)
|
||||
lb.pendingBatches = append(lb.pendingBatches[:idx], lb.pendingBatches[idx+1:]...)
|
||||
}
|
||||
}
|
||||
|
||||
// MarkBatchFailed marks a batch as failed
|
||||
func (lb *LLMBatcher) MarkBatchFailed(batchID string, err error) {
|
||||
lb.mu.Lock()
|
||||
defer lb.mu.Unlock()
|
||||
|
||||
var found *LLMBatch
|
||||
for _, batch := range lb.pendingBatches {
|
||||
if batch.ID == batchID {
|
||||
found = batch
|
||||
break
|
||||
}
|
||||
}
|
||||
|
||||
if found != nil {
|
||||
found.Status = "failed"
|
||||
found.Error = err
|
||||
found.ExecutedAt = time.Now()
|
||||
|
||||
// Deliver errors to request channels
|
||||
for _, req := range found.Requests {
|
||||
result := &LLMResult{
|
||||
RequestID: req.ID,
|
||||
Error: err,
|
||||
}
|
||||
|
||||
select {
|
||||
case req.ResultCh <- result:
|
||||
default:
|
||||
// Channel not ready or closed
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// GetStats returns batching statistics
|
||||
func (lb *LLMBatcher) GetStats() *LLMBatchStats {
|
||||
lb.mu.RLock()
|
||||
defer lb.mu.RUnlock()
|
||||
|
||||
stats := *lb.stats
|
||||
if stats.TotalBatches > 0 {
|
||||
stats.AvgRequestsPerBatch = float64(stats.TotalRequests) / float64(stats.TotalBatches)
|
||||
// API calls saved: total requests - total batches
|
||||
stats.APICallsSaved = stats.TotalRequests - stats.TotalBatches
|
||||
}
|
||||
|
||||
return &stats
|
||||
}
|
||||
|
||||
// QueueSize returns current queue size
|
||||
func (lb *LLMBatcher) QueueSize() int {
|
||||
lb.mu.RLock()
|
||||
defer lb.mu.RUnlock()
|
||||
|
||||
return len(lb.queue)
|
||||
}
|
||||
|
||||
// PendingBatchCount returns number of pending batches
|
||||
func (lb *LLMBatcher) PendingBatchCount() int {
|
||||
lb.mu.RLock()
|
||||
defer lb.mu.RUnlock()
|
||||
|
||||
return len(lb.pendingBatches)
|
||||
}
|
||||
|
||||
// GetBatchByID returns a batch by ID
|
||||
func (lb *LLMBatcher) GetBatchByID(batchID string) *LLMBatch {
|
||||
lb.mu.RLock()
|
||||
defer lb.mu.RUnlock()
|
||||
|
||||
for _, batch := range lb.pendingBatches {
|
||||
if batch.ID == batchID {
|
||||
return batch
|
||||
}
|
||||
}
|
||||
|
||||
for _, batch := range lb.executedBatches {
|
||||
if batch.ID == batchID {
|
||||
return batch
|
||||
}
|
||||
}
|
||||
|
||||
return nil
|
||||
}
|
||||
|
||||
// TimeSinceLastFlush returns time since last flush
|
||||
func (lb *LLMBatcher) TimeSinceLastFlush() time.Duration {
|
||||
lb.mu.RLock()
|
||||
defer lb.mu.RUnlock()
|
||||
|
||||
return time.Since(lb.lastFlushTime)
|
||||
}
|
||||
|
||||
// ShouldFlush checks if queue should be flushed based on age
|
||||
func (lb *LLMBatcher) ShouldFlush() bool {
|
||||
lb.mu.RLock()
|
||||
defer lb.mu.RUnlock()
|
||||
|
||||
if len(lb.queue) == 0 {
|
||||
return false
|
||||
}
|
||||
|
||||
return time.Since(lb.lastFlushTime) >= lb.maxBatchAge
|
||||
}
|
||||
|
||||
// GetExecutedBatches returns all executed batches
|
||||
func (lb *LLMBatcher) GetExecutedBatches() []*LLMBatch {
|
||||
lb.mu.RLock()
|
||||
defer lb.mu.RUnlock()
|
||||
|
||||
result := make([]*LLMBatch, len(lb.executedBatches))
|
||||
copy(result, lb.executedBatches)
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
// Clear clears all pending operations
|
||||
func (lb *LLMBatcher) Clear() {
|
||||
lb.mu.Lock()
|
||||
defer lb.mu.Unlock()
|
||||
|
||||
lb.queue = make([]*LLMRequest, 0)
|
||||
lb.pendingBatches = make([]*LLMBatch, 0)
|
||||
lb.executedBatches = make([]*LLMBatch, 0)
|
||||
}
|
||||
|
||||
// countTokensInBatch counts total tokens in a batch
|
||||
func countTokensInBatch(batch *LLMBatch) int {
|
||||
total := 0
|
||||
for _, result := range batch.Results {
|
||||
total += result.TokenCount
|
||||
}
|
||||
return total
|
||||
}
|
||||
|
||||
// GetBatchInfo returns human-readable batch information
|
||||
func (batch *LLMBatch) GetInfo() map[string]interface{} {
|
||||
return map[string]interface{}{
|
||||
"id": batch.ID,
|
||||
"type": batch.Type,
|
||||
"model": batch.Model,
|
||||
"status": batch.Status,
|
||||
"request_count": len(batch.Requests),
|
||||
"created_at": batch.CreatedAt,
|
||||
"executed_at": batch.ExecutedAt,
|
||||
"duration": batch.ExecutionTime,
|
||||
"error": batch.Error,
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,436 @@
|
||||
package batching
|
||||
|
||||
import (
|
||||
"testing"
|
||||
"time"
|
||||
|
||||
"github.com/stretchr/testify/assert"
|
||||
)
|
||||
|
||||
func TestLLMNewBatcher(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
assert.NotNil(t, batcher)
|
||||
assert.Equal(t, 0, batcher.QueueSize())
|
||||
}
|
||||
|
||||
func TestLLMEnqueueRequest(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
|
||||
req := &LLMRequest{
|
||||
ID: "req-1",
|
||||
Type: "implementer",
|
||||
Model: "claude-opus",
|
||||
Prompt: "Generate code",
|
||||
}
|
||||
|
||||
batcher.Enqueue(req)
|
||||
assert.Equal(t, 1, batcher.QueueSize())
|
||||
}
|
||||
|
||||
func TestLLMEnqueueMultipleRequests(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
|
||||
for i := 0; i < 5; i++ {
|
||||
req := &LLMRequest{
|
||||
Type: "implementer",
|
||||
Model: "claude-opus",
|
||||
Prompt: "Prompt",
|
||||
}
|
||||
batcher.Enqueue(req)
|
||||
}
|
||||
|
||||
assert.Equal(t, 5, batcher.QueueSize())
|
||||
}
|
||||
|
||||
func TestLLMAutoFlushOnMaxBatchSize(t *testing.T) {
|
||||
batcher := NewLLMBatcher(5, 10*time.Second)
|
||||
|
||||
for i := 0; i < 5; i++ {
|
||||
req := &LLMRequest{
|
||||
Type: "implementer",
|
||||
Model: "claude-opus",
|
||||
Prompt: "Prompt",
|
||||
}
|
||||
batcher.Enqueue(req)
|
||||
}
|
||||
|
||||
assert.Equal(t, 0, batcher.QueueSize())
|
||||
assert.Equal(t, 1, batcher.PendingBatchCount())
|
||||
}
|
||||
|
||||
func TestLLMManualFlush(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
|
||||
req := &LLMRequest{
|
||||
Type: "implementer",
|
||||
Model: "claude-opus",
|
||||
Prompt: "Prompt",
|
||||
}
|
||||
batcher.Enqueue(req)
|
||||
|
||||
batcher.Flush()
|
||||
assert.Equal(t, 0, batcher.QueueSize())
|
||||
assert.Equal(t, 1, batcher.PendingBatchCount())
|
||||
}
|
||||
|
||||
func TestLLMGetPendingBatch(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
|
||||
req := &LLMRequest{
|
||||
Type: "implementer",
|
||||
Model: "claude-opus",
|
||||
Prompt: "Prompt",
|
||||
}
|
||||
batcher.Enqueue(req)
|
||||
batcher.Flush()
|
||||
|
||||
batch := batcher.GetPendingBatch()
|
||||
assert.NotNil(t, batch)
|
||||
assert.Equal(t, 1, len(batch.Requests))
|
||||
assert.Equal(t, "implementer", batch.Type)
|
||||
}
|
||||
|
||||
func TestLLMMarkBatchExecuting(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
|
||||
req := &LLMRequest{Type: "implementer", Model: "claude-opus", Prompt: "test"}
|
||||
batcher.Enqueue(req)
|
||||
batcher.Flush()
|
||||
|
||||
batch := batcher.GetPendingBatch()
|
||||
batcher.MarkBatchExecuting(batch.ID)
|
||||
|
||||
updated := batcher.GetBatchByID(batch.ID)
|
||||
assert.Equal(t, "executing", updated.Status)
|
||||
}
|
||||
|
||||
func TestLLMMarkBatchCompleted(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
|
||||
req := &LLMRequest{
|
||||
ID: "req-1",
|
||||
Type: "implementer",
|
||||
Model: "claude-opus",
|
||||
Prompt: "test",
|
||||
}
|
||||
batcher.Enqueue(req)
|
||||
batcher.Flush()
|
||||
|
||||
batch := batcher.GetPendingBatch()
|
||||
|
||||
results := map[string]*LLMResult{
|
||||
"req-1": {
|
||||
RequestID: "req-1",
|
||||
Response: "Generated code",
|
||||
TokenCount: 100,
|
||||
},
|
||||
}
|
||||
|
||||
batcher.MarkBatchCompleted(batch.ID, results)
|
||||
|
||||
executed := batcher.GetExecutedBatches()
|
||||
assert.Equal(t, 1, len(executed))
|
||||
assert.Equal(t, "completed", executed[0].Status)
|
||||
}
|
||||
|
||||
func TestLLMMarkBatchFailed(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
|
||||
req := &LLMRequest{
|
||||
ID: "req-1",
|
||||
Type: "implementer",
|
||||
Model: "claude-opus",
|
||||
}
|
||||
batcher.Enqueue(req)
|
||||
batcher.Flush()
|
||||
|
||||
batch := batcher.GetPendingBatch()
|
||||
testErr := assert.AnError
|
||||
batcher.MarkBatchFailed(batch.ID, testErr)
|
||||
|
||||
failed := batcher.GetBatchByID(batch.ID)
|
||||
assert.Equal(t, "failed", failed.Status)
|
||||
assert.Error(t, failed.Error)
|
||||
}
|
||||
|
||||
func TestLLMGroupByTypeAndModel(t *testing.T) {
|
||||
batcher := NewLLMBatcher(100, 5*time.Second)
|
||||
|
||||
// Add requests of different types
|
||||
for i := 0; i < 3; i++ {
|
||||
req := &LLMRequest{
|
||||
Type: "implementer",
|
||||
Model: "claude-opus",
|
||||
Prompt: "test",
|
||||
}
|
||||
batcher.Enqueue(req)
|
||||
}
|
||||
|
||||
for i := 0; i < 2; i++ {
|
||||
req := &LLMRequest{
|
||||
Type: "judge",
|
||||
Model: "claude-opus",
|
||||
Prompt: "test",
|
||||
}
|
||||
batcher.Enqueue(req)
|
||||
}
|
||||
|
||||
batcher.Flush()
|
||||
|
||||
// Should create 2 batches (one for implementer, one for judge)
|
||||
assert.Equal(t, 2, batcher.PendingBatchCount())
|
||||
}
|
||||
|
||||
func TestLLMGetStats(t *testing.T) {
|
||||
batcher := NewLLMBatcher(5, 5*time.Second)
|
||||
|
||||
// Add 10 requests (will create 2 batches)
|
||||
for i := 0; i < 10; i++ {
|
||||
req := &LLMRequest{
|
||||
Type: "implementer",
|
||||
Model: "claude-opus",
|
||||
Prompt: "test",
|
||||
}
|
||||
batcher.Enqueue(req)
|
||||
}
|
||||
|
||||
stats := batcher.GetStats()
|
||||
assert.Equal(t, 10, stats.TotalRequests)
|
||||
assert.Equal(t, 2, stats.TotalBatches)
|
||||
assert.Equal(t, 5.0, stats.AvgRequestsPerBatch)
|
||||
// 10 requests in 2 batches saves 8 API calls
|
||||
assert.Equal(t, 8, stats.APICallsSaved)
|
||||
}
|
||||
|
||||
func TestLLMResultDelivery(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
|
||||
req := &LLMRequest{
|
||||
ID: "req-1",
|
||||
Type: "implementer",
|
||||
Model: "claude-opus",
|
||||
Prompt: "test",
|
||||
ResultCh: make(chan *LLMResult, 1),
|
||||
}
|
||||
|
||||
batcher.Enqueue(req)
|
||||
batcher.Flush()
|
||||
|
||||
batch := batcher.GetPendingBatch()
|
||||
|
||||
results := map[string]*LLMResult{
|
||||
"req-1": {
|
||||
RequestID: "req-1",
|
||||
Response: "Response",
|
||||
TokenCount: 50,
|
||||
},
|
||||
}
|
||||
|
||||
batcher.MarkBatchCompleted(batch.ID, results)
|
||||
|
||||
// Check if result was delivered to channel
|
||||
select {
|
||||
case result := <-req.ResultCh:
|
||||
assert.NotNil(t, result)
|
||||
assert.Equal(t, "Response", result.Response)
|
||||
case <-time.After(1 * time.Second):
|
||||
t.Fatal("Result not delivered")
|
||||
}
|
||||
}
|
||||
|
||||
func TestLLMMultipleBatches(t *testing.T) {
|
||||
batcher := NewLLMBatcher(3, 5*time.Second)
|
||||
|
||||
// Create 3 batches (3 requests each)
|
||||
for batch := 0; batch < 3; batch++ {
|
||||
for i := 0; i < 3; i++ {
|
||||
req := &LLMRequest{
|
||||
Type: "implementer",
|
||||
Model: "claude-opus",
|
||||
Prompt: "test",
|
||||
}
|
||||
batcher.Enqueue(req)
|
||||
}
|
||||
}
|
||||
|
||||
assert.Equal(t, 3, batcher.PendingBatchCount())
|
||||
}
|
||||
|
||||
func TestLLMQueueSize(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
|
||||
req := &LLMRequest{Type: "implementer", Model: "claude-opus"}
|
||||
batcher.Enqueue(req)
|
||||
|
||||
assert.Equal(t, 1, batcher.QueueSize())
|
||||
}
|
||||
|
||||
func TestLLMPendingBatchCount(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
|
||||
req := &LLMRequest{Type: "implementer", Model: "claude-opus"}
|
||||
batcher.Enqueue(req)
|
||||
batcher.Flush()
|
||||
|
||||
assert.Equal(t, 1, batcher.PendingBatchCount())
|
||||
}
|
||||
|
||||
func TestLLMGetExecutedBatches(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
|
||||
for i := 0; i < 2; i++ {
|
||||
req := &LLMRequest{Type: "implementer", Model: "claude-opus"}
|
||||
batcher.Enqueue(req)
|
||||
batcher.Flush()
|
||||
|
||||
batch := batcher.GetPendingBatch()
|
||||
batcher.MarkBatchCompleted(batch.ID, make(map[string]*LLMResult))
|
||||
}
|
||||
|
||||
executed := batcher.GetExecutedBatches()
|
||||
assert.Equal(t, 2, len(executed))
|
||||
}
|
||||
|
||||
func TestLLMTimeSinceLastFlush(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
|
||||
req := &LLMRequest{Type: "implementer", Model: "claude-opus"}
|
||||
batcher.Enqueue(req)
|
||||
batcher.Flush()
|
||||
|
||||
time.Sleep(100 * time.Millisecond)
|
||||
elapsed := batcher.TimeSinceLastFlush()
|
||||
|
||||
assert.Greater(t, elapsed, 50*time.Millisecond)
|
||||
assert.Less(t, elapsed, 200*time.Millisecond)
|
||||
}
|
||||
|
||||
func TestLLMShouldFlush(t *testing.T) {
|
||||
batcher := NewLLMBatcher(100, 100*time.Millisecond)
|
||||
|
||||
req := &LLMRequest{Type: "implementer", Model: "claude-opus"}
|
||||
batcher.Enqueue(req)
|
||||
|
||||
// Should not flush yet
|
||||
assert.False(t, batcher.ShouldFlush())
|
||||
|
||||
// Wait for age to exceed
|
||||
time.Sleep(150 * time.Millisecond)
|
||||
assert.True(t, batcher.ShouldFlush())
|
||||
}
|
||||
|
||||
func TestLLMClear(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
|
||||
req := &LLMRequest{Type: "implementer", Model: "claude-opus"}
|
||||
batcher.Enqueue(req)
|
||||
batcher.Flush()
|
||||
|
||||
batcher.Clear()
|
||||
assert.Equal(t, 0, batcher.QueueSize())
|
||||
assert.Equal(t, 0, batcher.PendingBatchCount())
|
||||
}
|
||||
|
||||
func TestLLMGetBatchByID(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
|
||||
req := &LLMRequest{Type: "implementer", Model: "claude-opus"}
|
||||
batcher.Enqueue(req)
|
||||
batcher.Flush()
|
||||
|
||||
batch := batcher.GetPendingBatch()
|
||||
retrieved := batcher.GetBatchByID(batch.ID)
|
||||
|
||||
assert.NotNil(t, retrieved)
|
||||
assert.Equal(t, batch.ID, retrieved.ID)
|
||||
}
|
||||
|
||||
func TestLLMGetBatchInfo(t *testing.T) {
|
||||
batch := &LLMBatch{
|
||||
ID: "batch-1",
|
||||
Type: "implementer",
|
||||
Model: "claude-opus",
|
||||
Status: "completed",
|
||||
CreatedAt: time.Now(),
|
||||
}
|
||||
|
||||
info := batch.GetInfo()
|
||||
assert.Equal(t, "batch-1", info["id"])
|
||||
assert.Equal(t, "implementer", info["type"])
|
||||
assert.Equal(t, "claude-opus", info["model"])
|
||||
assert.Equal(t, "completed", info["status"])
|
||||
}
|
||||
|
||||
func TestLLMEnqueueNil(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
|
||||
batcher.Enqueue(nil)
|
||||
assert.Equal(t, 0, batcher.QueueSize())
|
||||
}
|
||||
|
||||
func TestLLMAutoIDGeneration(t *testing.T) {
|
||||
req := &LLMRequest{
|
||||
Type: "implementer",
|
||||
Model: "claude-opus",
|
||||
Prompt: "test",
|
||||
}
|
||||
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
batcher.Enqueue(req)
|
||||
|
||||
assert.NotEmpty(t, req.ID)
|
||||
}
|
||||
|
||||
func TestLLMTokenCounting(t *testing.T) {
|
||||
batcher := NewLLMBatcher(10, 5*time.Second)
|
||||
|
||||
req := &LLMRequest{
|
||||
ID: "req-1",
|
||||
Type: "implementer",
|
||||
Model: "claude-opus",
|
||||
Prompt: "test",
|
||||
}
|
||||
batcher.Enqueue(req)
|
||||
batcher.Flush()
|
||||
|
||||
batch := batcher.GetPendingBatch()
|
||||
|
||||
results := map[string]*LLMResult{
|
||||
"req-1": {
|
||||
RequestID: "req-1",
|
||||
Response: "Response",
|
||||
TokenCount: 500,
|
||||
},
|
||||
}
|
||||
|
||||
batcher.MarkBatchCompleted(batch.ID, results)
|
||||
|
||||
stats := batcher.GetStats()
|
||||
assert.Equal(t, 500, stats.TotalTokens)
|
||||
}
|
||||
|
||||
func BenchmarkLLMEnqueue(b *testing.B) {
|
||||
batcher := NewLLMBatcher(1000, 10*time.Second)
|
||||
|
||||
for i := 0; i < b.N; i++ {
|
||||
req := &LLMRequest{
|
||||
Type: "implementer",
|
||||
Model: "claude-opus",
|
||||
Prompt: "test",
|
||||
}
|
||||
batcher.Enqueue(req)
|
||||
}
|
||||
}
|
||||
|
||||
func BenchmarkLLMFlush(b *testing.B) {
|
||||
batcher := NewLLMBatcher(1000, 10*time.Second)
|
||||
|
||||
for i := 0; i < b.N; i++ {
|
||||
req := &LLMRequest{Type: "implementer", Model: "claude-opus"}
|
||||
batcher.Enqueue(req)
|
||||
|
||||
if (i + 1) % 100 == 0 {
|
||||
batcher.Flush()
|
||||
}
|
||||
}
|
||||
}
|
||||
+2
-2
@@ -8,8 +8,8 @@
|
||||
| T2.2 | Parallel task dispatch: multiple T0.x tasks execute truly concurrently (not sequential) | [x] | `task/T2.2` | 9 tasks complete in ~1/9 total time (wall-clock speedup measured) |
|
||||
| T2.3 | Prompt template caching: pre-compile Go templates on worker startup | [x] | `task/T2.3` | Template render latency < 100ms (vs parse+render each time) |
|
||||
| T2.4 | Lessons file indexing: fast lookup of past failures without full file scan | [x] | `task/T2.4` | Query lessons by task type → return in < 10ms for 1000s of entries |
|
||||
| T2.5 | Git operation batching: combine multiple worktree commits into single push/merge | [ ] | `task/T2.5` | N tasks → 1 push (vs N pushes), measured via git ref-log |
|
||||
| T2.6 | LLM request batching: group similar Implementer calls into one API request | [ ] | `task/T2.6` | 3 implementer tasks → 1 Anthropic API call with batch input (vs 3 separate calls) |
|
||||
| T2.5 | Git operation batching: combine multiple worktree commits into single push/merge | [x] | `task/T2.5` | N tasks → 1 push (vs N pushes), measured via git ref-log |
|
||||
| T2.6 | LLM request batching: group similar Implementer calls into one API request | [x] | `task/T2.6` | 3 implementer tasks → 1 Anthropic API call with batch input (vs 3 separate calls) |
|
||||
| T2.7 | Workflow history pruning: trim old task unit outputs from orchestrator history | [ ] | `task/T2.7` | Continue-as-new cycle history size constant despite 1000s of task units completed |
|
||||
| T2.8 | Distributed lock optimization: replace flock with Redis/etcd for multi-pod scenarios | [ ] | `task/T2.8` | 5 concurrent orchestrators on different pods share FS safely via distributed lock |
|
||||
|
||||
|
||||
Reference in New Issue
Block a user