Merge pull request 'feat(learning): FU-2 UI — התלבטות-הפאנל במסך-אישור היו"ר (#133)' (#220) from worktree-halacha-deliberation-ui into main

mcp-server/src/legal_mcp/services/db.py

@@ -4466,6 +4466,7 @@ async def list_halachot(
     order_by_priority: bool = False,
     cluster: bool = False,
     include_equivalents: bool = False,
+    include_panel_round: bool = False,
 ) -> list[dict]:
     """List halachot with optional triage controls (#84).
 
@@ -4549,9 +4550,47 @@ async def list_halachot(
         await _annotate_clusters(pool, out)
     if include_equivalents and out:
         await _annotate_equivalents(pool, out)
+    if include_panel_round and out:
+        await _annotate_panel_rounds(pool, out)
     return out
 
 
+async def _annotate_panel_rounds(pool, out: list[dict]) -> None:
+    """Attach the LATEST 3-judge panel round to each row (#133/FU-2), display-only.
+
+    Surfaces the panel's deliberation — each lineage's vote + rationale and the
+    derived verdict — inside the chair's review card, so her decision (the gold
+    label the loop learns from) is informed by *why* the judges split. Reads the
+    capture table halacha_panel_rounds; never affects review_status (INV-G10)."""
+    ids = [d["id"] for d in out]
+    rows = await pool.fetch(
+        "SELECT DISTINCT ON (halacha_id) halacha_id, question, verdict, "
+        "applied_action, round_ts, claude_vote, claude_reason, deepseek_vote, "
+        "deepseek_reason, gemini_vote, gemini_reason "
+        "FROM halacha_panel_rounds WHERE halacha_id = ANY($1::uuid[]) "
+        "ORDER BY halacha_id, round_ts DESC",
+        ids,
+    )
+    by_id = {
+        str(r["halacha_id"]): {
+            "question": r["question"],
+            "verdict": r["verdict"],
+            "applied_action": r["applied_action"],
+            "round_ts": r["round_ts"].isoformat() if r["round_ts"] else None,
+            "judges": [
+                {"model": "claude", "vote": r["claude_vote"], "reason": r["claude_reason"]},
+                {"model": "deepseek", "vote": r["deepseek_vote"], "reason": r["deepseek_reason"]},
+                {"model": "gemini", "vote": r["gemini_vote"], "reason": r["gemini_reason"]},
+            ],
+        }
+        for r in rows
+    }
+    for d in out:
+        pr = by_id.get(str(d["id"]))
+        if pr:
+            d["panel_round"] = pr
+
+
 async def _annotate_clusters(pool, out: list[dict]) -> None:
     """Add cluster_id + cluster_size to each row (#84.2), display-only.