Add atlas refine cue seed workflow

tools/krea2_atlas_refine_manifest.py

@@ -0,0 +1,17 @@
+#!/usr/bin/env python3
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+
+
+ROOT = Path(__file__).resolve().parents[1]
+if str(ROOT) in sys.path:
+    sys.path.remove(str(ROOT))
+sys.path.insert(0, str(ROOT))
+
+from krea2_atlas_refine_manifest import main  # noqa: E402
+
+
+if __name__ == "__main__":
+    raise SystemExit(main(sys.argv[1:]))

tools/sxcp_prompt_batch.py

@@ -26,6 +26,27 @@ DEFAULT_OUT_CHANNEL = "sxcp_eval_out"
 DEFAULT_IN_CHANNEL = "sxcp_eval_in"
 NEGATIVE_OUT_CHANNEL = "sxcp_eval_negative_out"
 PROMPT_ORDERS = {"subject_first", "geometry_only", "prompt_order_test"}
+PROBE_METADATA_FIELDS = (
+    "variant_key",
+    "source_entry_id",
+    "source_stem",
+    "cue_axes",
+    "seed_metadata",
+    "evidence",
+    "matrix_evidence",
+    "selection",
+    "prompt_source",
+    "reference_images",
+    "notes",
+)
+BATCH_METADATA_FIELDS = (
+    "subject_id",
+    "variant_key",
+    "source_entry_id",
+    "source_stem",
+    "source_prompt_sha256",
+    "selection",
+)
 
 
 class BatchError(ValueError):
@@ -80,7 +101,11 @@ def _validate_probe(raw: Any, index: int) -> dict[str, str]:
     if not text:
         raise BatchError(f"probes[{index}].text is required")
     _validate_no_negative_channel(text, field=f"probes[{index}].text")
-    return {"id": probe_id, "prompt_order": prompt_order, "text": text}
+    probe: dict[str, Any] = {"id": probe_id, "prompt_order": prompt_order, "text": text}
+    for field in PROBE_METADATA_FIELDS:
+        if field in raw:
+            probe[field] = raw[field]
+    return probe
 
 
 def _validate_image_path(value: Any, *, field: str) -> str:
@@ -111,12 +136,16 @@ def load_batch(path: Path) -> dict[str, Any]:
     if not isinstance(probes_raw, list) or not probes_raw:
         raise BatchError("probes must be a non-empty list")
     probes = [_validate_probe(raw, index) for index, raw in enumerate(probes_raw)]
-    return {
+    loaded = {
         "seed": seed,
         "channel_out": channel_out,
         "channel_in": channel_in,
         "probes": probes,
     }
+    for field in BATCH_METADATA_FIELDS:
+        if field in batch:
+            loaded[field] = batch[field]
+    return loaded
 
 
 def load_results(path: Path) -> dict[str, Any]: