From 7b790b1bc331a0155d75224d94d319a720ec9406 Mon Sep 17 00:00:00 2001
From: AdrianoDev <adrianodalpastro@gmail.com>
Date: Mon, 11 May 2026 22:21:04 +0200
Subject: [PATCH] feat(dashboard): progress bar live + top fitness sulla pagina
 Overview
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Aggiunto blocco "Progresso run" sopra le metriche statiche con:
- progress bar generazioni (gens_done / n_generations)
- progress bar evaluations (evals_done / pop × gen) con percentuale
- metric top fitness / median fitness / cost so far
- pulsante Refresh manuale + timestamp ultimo update
- emoji status (🟢 running / ✅ completed / ❌ failed)

Niente nuove dipendenze: solo st.progress + st.rerun standard Streamlit.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---
 .../dashboard/pages/01_overview.py            | 39 ++++++++++++++++++-
 1 file changed, 38 insertions(+), 1 deletion(-)

diff --git a/src/multi_swarm/dashboard/pages/01_overview.py b/src/multi_swarm/dashboard/pages/01_overview.py
index 42296f5..558506d 100644
--- a/src/multi_swarm/dashboard/pages/01_overview.py
+++ b/src/multi_swarm/dashboard/pages/01_overview.py
@@ -1,9 +1,12 @@
 from __future__ import annotations
 
+from datetime import datetime
+
 import streamlit as st
 
 from multi_swarm.dashboard.data import (
     evaluations_df,
+    generations_df,
     get_repo,
     get_run_overview,
     list_runs_df,
@@ -25,6 +28,41 @@ st.dataframe(runs[["id", "name", "started_at", "completed_at", "status", "total_
 selected = st.selectbox("Seleziona run per dettaglio", runs["id"].tolist())
 overview = get_run_overview(repo, selected)
 
+# --- Progress live ---
+cfg = overview["config"]
+pop_size = int(cfg.get("population_size", 0))
+n_gens = int(cfg.get("n_generations", 0))
+evals = evaluations_df(repo, selected)
+gens = generations_df(repo, selected)
+
+evals_done = len(evals)
+evals_total = max(pop_size * n_gens, 1)
+gens_done = int(gens["completed_at"].notna().sum()) if not gens.empty else 0
+
+status_emoji = {"running": "🟢", "completed": "✅", "failed": "❌"}.get(overview["status"], "⚪")
+top_fit = float(evals["fitness"].max()) if not evals.empty else float("nan")
+
+st.subheader(f"{status_emoji} Progresso run")
+st.progress(
+    min(gens_done / max(n_gens, 1), 1.0),
+    text=f"Generations: {gens_done}/{n_gens}",
+)
+st.progress(
+    min(evals_done / evals_total, 1.0),
+    text=f"Evaluations: {evals_done}/{evals_total} ({100*evals_done/evals_total:.1f}%)",
+)
+pcol1, pcol2, pcol3 = st.columns(3)
+pcol1.metric("Top fitness", f"{top_fit:.4f}" if evals_done else "—")
+pcol2.metric("Median fitness", f"{evals['fitness'].median():.4f}" if evals_done else "—")
+pcol3.metric("Cost so far", f"${overview['total_cost_usd']:.4f}")
+
+ref_col1, ref_col2 = st.columns([1, 4])
+if ref_col1.button("🔄 Refresh"):
+    st.rerun()
+ref_col2.caption(f"Last update: {datetime.now().strftime('%H:%M:%S')}")
+
+st.divider()
+
 col1, col2, col3, col4 = st.columns(4)
 col1.metric("Status", overview["status"])
 col2.metric("Cost (USD)", f"{overview['total_cost_usd']:.4f}")
@@ -32,7 +70,6 @@ col3.metric("Started", overview["started_at"])
 col4.metric("Completed", overview["completed_at"] or "—")
 
 st.subheader("Statistiche evaluations")
-evals = evaluations_df(repo, selected)
 col5, col6, col7, col8 = st.columns(4)
 if not evals.empty:
     parse_success = 100 * (evals["parse_error"].isna().sum() / len(evals))