LEM scoring pipeline, native MLX Metal bindings, Claude SDK wrapper, RAG with Qdrant/Ollama, unified AI facade, and MCP protocol server. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
153 lines
4.2 KiB
Go
153 lines
4.2 KiB
Go
package ml
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import (
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"context"
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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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"time"
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)
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// ExpandOutput is the JSONL output structure for expansion generation.
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type ExpandOutput struct {
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ID string `json:"id"`
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Domain string `json:"domain,omitempty"`
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Prompt string `json:"prompt"`
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Response string `json:"response"`
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Model string `json:"model"`
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ElapsedSeconds float64 `json:"elapsed_seconds"`
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Chars int `json:"chars"`
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}
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// GetCompletedIDs queries InfluxDB for prompt IDs that have already been
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// processed in the expansion_gen measurement.
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func GetCompletedIDs(influx *InfluxClient) (map[string]bool, error) {
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rows, err := influx.QuerySQL("SELECT DISTINCT seed_id FROM expansion_gen")
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if err != nil {
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return nil, fmt.Errorf("query expansion_gen: %w", err)
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}
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ids := make(map[string]bool, len(rows))
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for _, row := range rows {
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id := strVal(row, "seed_id")
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if id != "" {
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ids[id] = true
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}
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}
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return ids, nil
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}
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// ExpandPrompts generates responses for expansion prompts using the given
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// backend and reports progress to InfluxDB. Already-completed prompts (per
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// InfluxDB) are skipped. API errors for individual prompts are logged and
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// skipped. InfluxDB reporting is best-effort.
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func ExpandPrompts(ctx context.Context, backend Backend, influx *InfluxClient, prompts []Response,
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modelName, worker, outputDir string, dryRun bool, limit int) error {
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remaining := prompts
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// Check InfluxDB for already-completed IDs.
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completed, err := GetCompletedIDs(influx)
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if err != nil {
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log.Printf("warning: could not check completed IDs: %v", err)
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} else {
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remaining = nil
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for _, p := range prompts {
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if !completed[p.ID] {
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remaining = append(remaining, p)
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}
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}
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skipped := len(prompts) - len(remaining)
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if skipped > 0 {
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log.Printf("skipping %d already-completed prompts, %d remaining", skipped, len(remaining))
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}
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}
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if limit > 0 && limit < len(remaining) {
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remaining = remaining[:limit]
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}
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if len(remaining) == 0 {
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log.Println("all prompts already completed, nothing to do")
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return nil
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}
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if dryRun {
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log.Printf("dry-run: would process %d prompts with model %s (worker: %s)", len(remaining), modelName, worker)
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for i, p := range remaining {
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if i >= 10 {
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log.Printf(" ... and %d more", len(remaining)-10)
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break
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}
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log.Printf(" %s (domain: %s)", p.ID, p.Domain)
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}
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return nil
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}
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outputPath := filepath.Join(outputDir, fmt.Sprintf("expand-%s.jsonl", worker))
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f, err := os.OpenFile(outputPath, os.O_APPEND|os.O_CREATE|os.O_WRONLY, 0644)
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if err != nil {
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return fmt.Errorf("open output file: %w", err)
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}
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defer f.Close()
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total := len(remaining)
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completedCount := 0
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for idx, p := range remaining {
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start := time.Now()
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response, err := backend.Generate(ctx, p.Prompt, GenOpts{Temperature: 0.7, MaxTokens: 2048})
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elapsed := time.Since(start).Seconds()
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if err != nil {
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log.Printf("[%d/%d] id=%s ERROR: %v", idx+1, total, p.ID, err)
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continue
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}
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chars := len(response)
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completedCount++
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out := ExpandOutput{
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ID: p.ID,
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Domain: p.Domain,
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Prompt: p.Prompt,
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Response: response,
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Model: modelName,
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ElapsedSeconds: elapsed,
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Chars: chars,
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}
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line, err := json.Marshal(out)
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if err != nil {
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log.Printf("[%d/%d] id=%s marshal error: %v", idx+1, total, p.ID, err)
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continue
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}
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if _, err := f.Write(append(line, '\n')); err != nil {
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log.Printf("[%d/%d] id=%s write error: %v", idx+1, total, p.ID, err)
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continue
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}
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genLine := fmt.Sprintf("expansion_gen,i=%d,w=%s,d=%s seed_id=\"%s\",gen_time=%f,chars=%di,model=\"%s\"",
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idx, EscapeLp(worker), EscapeLp(p.Domain),
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p.ID, elapsed, chars, modelName)
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pct := float64(completedCount) / float64(total) * 100.0
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progressLine := fmt.Sprintf("expansion_progress,worker=%s completed=%di,target=%di,pct=%f",
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EscapeLp(worker), completedCount, total, pct)
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if writeErr := influx.WriteLp([]string{genLine, progressLine}); writeErr != nil {
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log.Printf("[%d/%d] id=%s influx write error: %v", idx+1, total, p.ID, writeErr)
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}
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log.Printf("[%d/%d] id=%s chars=%d time=%.1fs", idx+1, total, p.ID, chars, elapsed)
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}
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log.Printf("expand complete: %d/%d prompts generated, output: %s", completedCount, total, outputPath)
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return nil
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}
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