Add tabular index (metadata.csv, characters.csv) + card metadata

scripts/build_tables.py

@@ -0,0 +1,44 @@
+#!/usr/bin/env python3
+"""Generate ../metadata.csv (animations) and ../characters.csv from the JSON indexes.
+Plain stdlib csv, so prompts containing commas/slashes are quoted correctly."""
+import csv, json, os, sys
+HERE=os.path.dirname(os.path.abspath(__file__)); ROOT=os.path.dirname(HERE)
+J=lambda n: json.load(open(os.path.join(ROOT,n)))
+
+prompts, frames = J("animation_prompts.json"), J("animation_frames.json")
+rows=[]
+for f in sorted(prompts):
+    v=prompts[f]
+    rows.append({
+        "file": "animation/"+f,
+        "prompt": v.get("prompt",""),
+        "description": v.get("description",""),
+        "text": v.get("description") or v.get("prompt",""),   # ready-to-use label
+        "frames": frames.get(f,""),
+        "motion_id": v.get("motion_id",""),
+    })
+out=os.path.join(ROOT,"metadata.csv")
+with open(out,"w",newline="",encoding="utf-8") as fh:
+    w=csv.DictWriter(fh,fieldnames=["file","prompt","description","text","frames","motion_id"])
+    w.writeheader(); w.writerows(rows)
+print("metadata.csv      ->",len(rows),"rows")
+
+chars, cbones = J("characters.json"), J("character_bones.json")
+anim=set(J("animation_bones.json")["mixamo"])
+crows=[]
+for f in sorted(chars):
+    b=set(cbones.get(f,[]))
+    crows.append({
+        "file": "character_refined/"+f,
+        "file_original": "character/"+f,
+        "name": chars[f].get("name",""),
+        "uuid": chars[f].get("uuid",""),
+        "bone_count": len(b),
+        "covers_animation_rig": str(anim <= b).lower(),
+    })
+out=os.path.join(ROOT,"characters.csv")
+with open(out,"w",newline="",encoding="utf-8") as fh:
+    w=csv.DictWriter(fh,fieldnames=["file","file_original","name","uuid","bone_count","covers_animation_rig"])
+    w.writeheader(); w.writerows(crows)
+n=sum(1 for r in crows if r["covers_animation_rig"]=="true")
+print("characters.csv    ->",len(crows),"rows |",n,"fully retargetable")