feat(web): persona pane shows the CANONICAL affect->NL Worldtree injects (v0.19.5)

The pane now renders the LITERAL mood word + relationship directive Worldtree
context-injects into the agent — adopted from Worldtree's canon, not invented:

- canonMood(pad) mirrors Worldtree describe_pad (valence×arousal grid, ±0.3 bands);
  for sindra's PAD the canonical render is "neutral" — an invented octant vocab
  would have said "faintly excited" and MISLED. Adopting canonical is the point.
- canonDirective(rel) mirrors render_d2_canonical byte-exact: "...warmth is clear
  warm regard; ability trust is strong; ...; speak with direct warmth; ..." — the
  exact stance instruction the agent receives (which makes the WAD "stranger"
  relation_context read even more incoherent, as flagged to worldtree-dev).
- Both VERIFIED byte-exact against Worldtree's OWN renderer on the live snapshot.
- Canon vendored (docs/vendor/worldtree-persona-canon/) + drift-pinned in
  .corviduo-canonicals.toml (canonical_drift green); flat browser form
  (static/persona_render_canon.json) regenerated by scripts/build_persona_canon.py
  via Worldtree's authoritative loader. Reference-impl posture: adopt canonical.
- Fail-open (canon absent -> lines omit); INV-004 esc() preserved.

JS syntax clean. Refresh + drive turns to see the canonical NL under mood + each
relation.

scripts/build_persona_canon.py

@@ -0,0 +1,49 @@
+#!/usr/bin/env python3
+"""Regenerate src/ratatoskr/web/static/persona_render_canon.json from the vendored
+Worldtree d2 render canons (docs/vendor/worldtree-persona-canon/).
+
+The web persona pane renders the CANONICAL affect->NL (mood word + relationship
+directive) BYTE-EXACT to what Worldtree injects into the agent's context. That render
+needs the relation canon parsed into per-band phrase maps; this script reparses the
+vendored raw canons into the flat form the browser JS consumes.
+
+Uses Worldtree's OWN loader (core.persona.stance_render.load_canon) as the authoritative
+parser, so the flat form can never drift from Worldtree's parsing semantics. Requires
+Worldtree's venv (pydantic etc.).
+
+Run when scripts/canonical_drift.py flags a canon bump:
+    PYTHONPATH=~/development/Worldtree ~/development/Worldtree/.venv/bin/python \
+        scripts/build_persona_canon.py
+"""
+import json
+from pathlib import Path
+
+from core.persona.stance_render import load_canon  # Worldtree (authoritative parser)
+
+ROOT = Path(__file__).resolve().parent.parent
+VENDOR = ROOT / "docs" / "vendor" / "worldtree-persona-canon"
+OUT = ROOT / "src" / "ratatoskr" / "web" / "static" / "persona_render_canon.json"
+
+canon = load_canon(str(VENDOR / "d2-render-canon-v1.json"))
+mood = json.loads((VENDOR / "d2-mood-render-canon-v1.json").read_text())
+out = {
+    "_source": "vendored from Worldtree core/persona/canon/{d2-mood-render-canon-v1,d2-render-canon-v1}.json",
+    "_generated_by": "scripts/build_persona_canon.py (regen on canonical_drift flag)",
+    "_render_path": "deterministic, no LLM; mirrors Worldtree describe_pad + render_d2_canonical byte-exact",
+    "mood_grid": mood["describe_pad"]["valence_arousal_grid"],
+    "relation": {
+        "trust_cuts": [list(c) for c in canon.trust_cuts],
+        "warmth_cuts": [list(c) for c in canon.warmth_cuts],
+        "agency_cuts": [list(c) for c in canon.agency_cuts],
+        "warmth_phrase": canon.warmth_phrase, "warmth_beh": canon.warmth_beh,
+        "agency_phrase": canon.agency_phrase, "agency_beh": canon.agency_beh,
+        "history": canon.history,
+        "prefix": "Use this graded relationship state: toward target, warmth is ",
+        "tbeh": {"low_trust": "verify important claims before relying on them",
+                 "cold_warmth": "protect boundaries while staying useful",
+                 "default": "work from ordinary good faith"},
+        "cold_warmth_bands": ["distant", "cold", "hostile"], "high_conf_floor": 0.55,
+    },
+}
+OUT.write_text(json.dumps(out, indent=1) + "\n")
+print(f"wrote {OUT.relative_to(ROOT)}")