Charon
c340303314
## Summary - Extract PHP/Laravel commands to `core/php` repo (42 files, standalone module) - Extract CI/release + SDK commands to `core/ci` repo (10 files) - Remove `internal/variants/` build tag system entirely - Move all 30 remaining command packages from `internal/cmd/` to top-level `cmd/` - Rewrite `main.go` with direct imports — no more variant selection - PHP and CI are now optional via commented import lines in main.go Co-authored-by: Claude <developers@lethean.io> Reviewed-on: #2 Co-authored-by: Charon <charon@lthn.ai> Co-committed-by: Charon <charon@lthn.ai>
54 lines
1.6 KiB
Go
54 lines
1.6 KiB
Go
package ml
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import (
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"fmt"
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"os"
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"forge.lthn.ai/core/go/pkg/cli"
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"forge.lthn.ai/core/go/pkg/ml"
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)
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var ingestCmd = &cli.Command{
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Use: "ingest",
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Short: "Ingest benchmark scores and training logs into InfluxDB",
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Long: "Reads content score, capability score, and training log files and writes measurements to InfluxDB for the lab dashboard.",
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RunE: runIngest,
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}
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var (
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ingestContent string
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ingestCapability string
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ingestTraining string
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ingestRunID string
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ingestBatchSize int
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)
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func init() {
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ingestCmd.Flags().StringVar(&ingestContent, "content", "", "Content scores JSONL file")
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ingestCmd.Flags().StringVar(&ingestCapability, "capability", "", "Capability scores JSONL file")
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ingestCmd.Flags().StringVar(&ingestTraining, "training-log", "", "MLX LoRA training log file")
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ingestCmd.Flags().StringVar(&ingestRunID, "run-id", "", "Run ID tag (defaults to model name)")
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ingestCmd.Flags().IntVar(&ingestBatchSize, "batch-size", 100, "Lines per InfluxDB write batch")
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}
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func runIngest(cmd *cli.Command, args []string) error {
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if modelName == "" {
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return fmt.Errorf("--model is required")
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}
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if ingestContent == "" && ingestCapability == "" && ingestTraining == "" {
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return fmt.Errorf("at least one of --content, --capability, or --training-log is required")
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}
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influx := ml.NewInfluxClient(influxURL, influxDB)
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cfg := ml.IngestConfig{
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ContentFile: ingestContent,
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CapabilityFile: ingestCapability,
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TrainingLog: ingestTraining,
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Model: modelName,
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RunID: ingestRunID,
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BatchSize: ingestBatchSize,
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}
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return ml.Ingest(influx, cfg, os.Stdout)
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}
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