a43cc099cd
Virgil split go-ai into standalone modules (go-agentic, go-ml, go-mlx, go-rag). This migrates all CLI imports to the new module paths and fixes API mismatches from the split. Key changes: - go-ai/agentic → go-agentic (cmd/ai, cmd/dev) - go-ai/ml → go-ml (31 files in cmd/ml) - go-ai/rag → go-rag (3 files in cmd/rag) - go-ai/mlx → go-mlx (1 file) - Fix go.work path (../core → ../go) - Add all split repos to go.work and go.mod - Simplify daemon to goroutine-based MCP (remove missing supervisor) - Wire go-agentic SQLiteRegistry into dispatch watch (--agent-id flag) - Add `core ai agent fleet` command for local registry status - Fix rag collections API (PointCount, Status string) - Fix ml live/expand-status to use available go-ml API Co-Authored-By: Charon <charon@lethean.io>
95 lines
2.5 KiB
Go
95 lines
2.5 KiB
Go
package ml
|
|
|
|
import (
|
|
"fmt"
|
|
"os"
|
|
|
|
"forge.lthn.ai/core/go/pkg/cli"
|
|
"forge.lthn.ai/core/go-ml"
|
|
)
|
|
|
|
var expandStatusCmd = &cli.Command{
|
|
Use: "expand-status",
|
|
Short: "Show expansion pipeline progress",
|
|
Long: "Queries DuckDB for expansion prompts, generated responses, scoring status, and overall pipeline progress.",
|
|
RunE: runExpandStatus,
|
|
}
|
|
|
|
func runExpandStatus(cmd *cli.Command, args []string) error {
|
|
path := dbPath
|
|
if path == "" {
|
|
path = os.Getenv("LEM_DB")
|
|
}
|
|
if path == "" {
|
|
return fmt.Errorf("--db or LEM_DB required")
|
|
}
|
|
|
|
db, err := ml.OpenDB(path)
|
|
if err != nil {
|
|
return fmt.Errorf("open db: %w", err)
|
|
}
|
|
defer db.Close()
|
|
|
|
fmt.Fprintln(os.Stdout, "LEM Expansion Pipeline Status")
|
|
fmt.Fprintln(os.Stdout, "==================================================")
|
|
|
|
// Expansion prompts
|
|
total, pending, err := db.CountExpansionPrompts()
|
|
if err != nil {
|
|
fmt.Fprintln(os.Stdout, " Expansion prompts: not created (run: normalize)")
|
|
return nil
|
|
}
|
|
fmt.Fprintf(os.Stdout, " Expansion prompts: %d total, %d pending\n", total, pending)
|
|
|
|
// Generated responses — query raw counts via SQL
|
|
generated := 0
|
|
rows, err := db.QueryRows("SELECT count(*) AS n FROM expansion_raw")
|
|
if err != nil || len(rows) == 0 {
|
|
fmt.Fprintln(os.Stdout, " Generated: 0 (run: core ml expand)")
|
|
} else {
|
|
if n, ok := rows[0]["n"]; ok {
|
|
generated = toInt(n)
|
|
}
|
|
fmt.Fprintf(os.Stdout, " Generated: %d\n", generated)
|
|
}
|
|
|
|
// Scored — query scoring counts via SQL
|
|
sRows, err := db.QueryRows("SELECT count(*) AS n FROM scoring_results WHERE suite = 'heuristic'")
|
|
if err != nil || len(sRows) == 0 {
|
|
fmt.Fprintln(os.Stdout, " Scored: 0 (run: score --tier 1)")
|
|
} else {
|
|
scored := toInt(sRows[0]["n"])
|
|
fmt.Fprintf(os.Stdout, " Heuristic scored: %d\n", scored)
|
|
}
|
|
|
|
// Pipeline progress
|
|
if total > 0 && generated > 0 {
|
|
genPct := float64(generated) / float64(total) * 100
|
|
fmt.Fprintf(os.Stdout, "\n Progress: %.1f%% generated\n", genPct)
|
|
}
|
|
|
|
// Golden set context
|
|
golden, err := db.CountGoldenSet()
|
|
if err == nil && golden > 0 {
|
|
fmt.Fprintf(os.Stdout, "\n Golden set: %d / %d\n", golden, targetTotal)
|
|
if generated > 0 {
|
|
fmt.Fprintf(os.Stdout, " Combined: %d total examples\n", golden+generated)
|
|
}
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
// toInt converts an interface{} (typically from QueryRows) to int.
|
|
func toInt(v interface{}) int {
|
|
switch n := v.(type) {
|
|
case int:
|
|
return n
|
|
case int64:
|
|
return int(n)
|
|
case float64:
|
|
return int(n)
|
|
default:
|
|
return 0
|
|
}
|
|
}
|