# 2026-05-06 — MAGATAMA RunPod Status Truthfulness

## Why this was needed

After the script/registry repair, MAGATAMA could refresh the local RunPod datasets again, but the operator-facing status flow was still too coarse:

- failures in local dataset preparation
- failures in optional Hugging Face publish
- and actual RunPod availability

were too easy to confuse.

This produced the impression that “RunPod is broken” even when the real problem was just dataset preparation on Erik.

## Changes

Patched:

- `magatama/packages/dashboard/src/server.ts`

Behavior now:

- dataset source is normalized to either:
  - `huggingface`
  - `url`
- local dataset refresh (`training:refresh-all`) is wrapped with a dedicated error:
  - `Dataset-Refresh fehlgeschlagen: ...`
- Hugging Face publish is wrapped with a dedicated error:
  - `HuggingFace-Publish fehlgeschlagen: ...`
- if Hugging Face mode is selected but `HF_TOKEN` is missing, this is reported directly
- after successful preparation, the SSE stream now explicitly states:
  - Hugging Face dataset source in use
  - or URL-bundle dataset source in use, with no external publish required

## Live effect

The dashboard process was rebuilt and restarted on Erik after this change.

Result:

- RunPod preparation status is more honest
- operators can distinguish:
  - data refresh problem
  - optional external publish problem
  - actual RunPod training job submission/polling problem

## Notes

- This does not itself force a Hugging Face publish.
- It only makes the control plane truthful about what step is happening and what actually failed.