feat(dashboard): Genomes page (top-10 + inspection)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

src/multi_swarm/dashboard/pages/03_genomes.py

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+from __future__ import annotations
+
+import streamlit as st
+
+from multi_swarm.dashboard.data import (
+    evaluations_df,
+    genomes_df,
+    get_repo,
+    list_runs_df,
+)
+
+st.title("Genomes")
+
+db_path = st.session_state.get("db_path", "./runs.db")
+repo = get_repo(db_path)
+
+runs = list_runs_df(repo)
+if runs.empty:
+    st.info("Nessuna run.")
+    st.stop()
+
+selected = st.selectbox("Run", runs["id"].tolist())
+evals = evaluations_df(repo, selected)
+genomes = genomes_df(repo, selected)
+
+if evals.empty:
+    st.warning("Nessuna evaluation.")
+    st.stop()
+
+merged = evals.merge(
+    genomes, left_on="genome_id", right_on="id", how="left", suffixes=("", "_g")
+)
+top = merged.sort_values("fitness", ascending=False).head(10)
+
+st.subheader("Top-10 genomi (per fitness)")
+display_cols = [
+    "genome_id",
+    "fitness",
+    "dsr",
+    "sharpe",
+    "max_dd",
+    "n_trades",
+    "cognitive_style",
+    "temperature",
+    "lookback_window",
+    "feature_access",
+]
+existing = [c for c in display_cols if c in top.columns]
+st.dataframe(top[existing])
+
+st.subheader("Ispezione genoma")
+gid = st.selectbox("Seleziona genome_id", top["genome_id"].tolist())
+row = merged[merged["genome_id"] == gid].iloc[0]
+
+col1, col2 = st.columns(2)
+with col1:
+    st.metric("fitness", f"{row['fitness']:.3f}")
+    st.metric("DSR", f"{row['dsr']:.3f}")
+    st.metric("Sharpe", f"{row['sharpe']:.3f}")
+with col2:
+    st.metric("max DD", f"{row['max_dd']:.3f}")
+    st.metric("trades", int(row["n_trades"]))
+    st.metric("style", str(row.get("cognitive_style", "—")))
+
+st.subheader("System prompt")
+st.code(row.get("system_prompt", "—"))
+
+st.subheader("Raw LLM output")
+st.code(row.get("raw_text", "—"))
+
+if row.get("parse_error"):
+    st.error(f"Parse error: {row['parse_error']}")