feat(dashboard): GA convergence page (median/max/p90 + entropy)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-05-09 20:34:17 +02:00
parent 889903fdae
commit 95dcf4c232
@@ -0,0 +1,68 @@
from __future__ import annotations
import plotly.graph_objects as go
import streamlit as st
from multi_swarm.dashboard.data import generations_df, get_repo, list_runs_df
st.title("GA Convergence")
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())
gens = generations_df(repo, selected)
if gens.empty:
st.warning("Nessuna generazione registrata per questa run.")
st.stop()
fig = go.Figure()
fig.add_trace(
go.Scatter(
x=gens["generation_idx"],
y=gens["fitness_median"],
name="median",
mode="lines+markers",
)
)
fig.add_trace(
go.Scatter(
x=gens["generation_idx"],
y=gens["fitness_max"],
name="max",
mode="lines+markers",
)
)
fig.add_trace(
go.Scatter(
x=gens["generation_idx"],
y=gens["fitness_p90"],
name="p90",
mode="lines+markers",
)
)
fig.update_layout(
xaxis_title="generation",
yaxis_title="fitness",
title="Fitness convergence",
)
st.plotly_chart(fig, use_container_width=True)
st.subheader("Entropy")
fig2 = go.Figure()
fig2.add_trace(go.Scatter(x=gens["generation_idx"], y=gens["entropy"], mode="lines+markers"))
fig2.add_hline(y=0.5, line_dash="dash", annotation_text="gate threshold (0.5)")
fig2.update_layout(
xaxis_title="generation",
yaxis_title="entropy",
title="Diversity (fitness entropy)",
)
st.plotly_chart(fig2, use_container_width=True)
st.subheader("Tabella generazioni")
st.dataframe(gens)