cli/internal/cmd/ml/cmd_expand.go
Snider abe74a1a3d refactor: split CLI from monorepo, import core/go as library (#1)
- Change module from forge.lthn.ai/core/go to forge.lthn.ai/core/cli
- Remove pkg/ directory (now served from core/go)
- Add require + replace for forge.lthn.ai/core/go => ../go
- Update go.work to include ../go workspace module
- Fix all internal/cmd/* imports: pkg/ refs → forge.lthn.ai/core/go/pkg/
- Rename internal/cmd/sdk package to sdkcmd (avoids conflict with pkg/sdk)
- Remove SDK library files from internal/cmd/sdk/ (now in core/go/pkg/sdk/)
- Remove duplicate RAG helper functions from internal/cmd/rag/
- Remove stale cmd/core-ide/ (now in core/ide repo)
- Update IDE variant to remove core-ide import
- Fix test assertion for new module name
- Run go mod tidy to sync dependencies

core/cli is now a pure CLI application importing core/go for packages.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Co-authored-by: Claude <developers@lethean.io>
Reviewed-on: #1
2026-02-16 14:24:37 +00:00

81 lines
2 KiB
Go

package ml
import (
"context"
"fmt"
"os"
"forge.lthn.ai/core/go/pkg/cli"
"forge.lthn.ai/core/go/pkg/ml"
)
var (
expandWorker string
expandOutput string
expandLimit int
expandDryRun bool
)
var expandCmd = &cli.Command{
Use: "expand",
Short: "Generate expansion responses from pending prompts",
Long: "Reads pending expansion prompts from DuckDB and generates responses via an OpenAI-compatible API.",
RunE: runExpand,
}
func init() {
expandCmd.Flags().StringVar(&expandWorker, "worker", "", "Worker hostname (defaults to os.Hostname())")
expandCmd.Flags().StringVar(&expandOutput, "output", ".", "Output directory for JSONL files")
expandCmd.Flags().IntVar(&expandLimit, "limit", 0, "Max prompts to process (0 = all)")
expandCmd.Flags().BoolVar(&expandDryRun, "dry-run", false, "Print plan and exit without generating")
}
func runExpand(cmd *cli.Command, args []string) error {
if modelName == "" {
return fmt.Errorf("--model is required")
}
path := dbPath
if path == "" {
path = os.Getenv("LEM_DB")
}
if path == "" {
return fmt.Errorf("--db or LEM_DB env is required")
}
if expandWorker == "" {
h, _ := os.Hostname()
expandWorker = h
}
db, err := ml.OpenDBReadWrite(path)
if err != nil {
return fmt.Errorf("open db: %w", err)
}
defer db.Close()
rows, err := db.QueryExpansionPrompts("pending", expandLimit)
if err != nil {
return fmt.Errorf("query expansion_prompts: %w", err)
}
fmt.Printf("Loaded %d pending prompts from %s\n", len(rows), path)
var prompts []ml.Response
for _, r := range rows {
prompt := r.Prompt
if prompt == "" && r.PromptEn != "" {
prompt = r.PromptEn
}
prompts = append(prompts, ml.Response{
ID: r.SeedID,
Domain: r.Domain,
Prompt: prompt,
})
}
ctx := context.Background()
backend := ml.NewHTTPBackend(apiURL, modelName)
influx := ml.NewInfluxClient(influxURL, influxDB)
return ml.ExpandPrompts(ctx, backend, influx, prompts, modelName, expandWorker, expandOutput, expandDryRun, expandLimit)
}