Add pump profile fetching and Insulineprofiel page

Fetch and parse the latest-used Nightscout profile (basal schedule, ISF, carb ratio, DIA, targets) and show it as a new dashboard page: a list of basal/ISF/carb-ratio segments plus a bar chart of basal rate by hour of day. This is the data foundation for treatment overlays on the glucose charts and the redesigned PDF report in follow-up PRs.
2026-09-05 21:37:17 +02:00
parent 8641022219
commit 79249958c2
6 changed files with 423 additions and 1 deletions
@@ -0,0 +1,98 @@
+import pandas as pd
+import plotly.graph_objects as go
+import requests
+import streamlit as st
+
+from auth import require_auth
+from nightscout_client import NightscoutConfigError
+from profile_data import segments_table, segments_to_hourly_bars, total_daily_basal
+from ui_common import get_colors, load_profile
+
+st.set_page_config(page_title="Glucose dashboard — Insulineprofiel", page_icon="📊", layout="wide")
+require_auth()
+
+st.title("Insulineprofiel")
+st.caption("Het meest recent gebruikte pompprofiel: basaalschema, ISF, koolhydraatratio en DIA.")
+
+try:
+    profile = load_profile()
+except NightscoutConfigError as exc:
+    st.error(str(exc))
+    st.stop()
+except (requests.RequestException, ValueError) as exc:
+    st.error(f"Kon geen profiel ophalen van Nightscout: {exc}")
+    st.stop()
+
+if not profile:
+    st.info("Geen pompprofiel gevonden op deze Nightscout-instantie.")
+    st.stop()
+
+colors = get_colors()
+
+col1, col2 = st.columns(2)
+col1.metric("DIA (werkingsduur insuline)", f"{profile['dia']:.1f} uur")
+col2.caption(f"Profielnaam: {profile['name'] or '—'}")
+
+st.subheader("Basaalschema")
+bars = segments_to_hourly_bars(profile["basal"])
+fig = go.Figure(
+    go.Scatter(
+        x=[b["hour"] for b in bars],
+        y=[b["value"] for b in bars],
+        mode="lines",
+        line={"shape": "hv", "color": colors["basal"], "width": 2},
+        fill="tozeroy",
+        fillcolor=colors["basal"],
+        opacity=0.7,
+        name="Basaal",
+        hovertemplate="%{x:.0f}:00 · %{y:.2f} E/uur<extra></extra>",
+    )
+)
+fig.update_layout(
+    paper_bgcolor="rgba(0,0,0,0)",
+    plot_bgcolor="rgba(0,0,0,0)",
+    font_color=colors["text"],
+    height=320,
+    margin={"l": 10, "r": 10, "t": 10, "b": 10},
+    xaxis={"title": "Uur van de dag", "range": [0, 24], "dtick": 2, "gridcolor": colors["grid"]},
+    yaxis={"title": "E/uur", "gridcolor": colors["grid"], "rangemode": "tozero"},
+    showlegend=False,
+)
+st.plotly_chart(fig, width="stretch")
+
+basal_rows = segments_table(profile["basal"])
+st.dataframe(
+    pd.DataFrame(basal_rows).rename(
+        columns={"start": "Van", "end": "Tot", "value": "Basaalsnelheid (E/uur)"}
+    ),
+    width="stretch",
+    hide_index=True,
+)
+
+col_isf, col_ratio = st.columns(2)
+with col_isf:
+    st.subheader("Insulinegevoeligheid (ISF)")
+    isf_rows = segments_table(profile["sens"])
+    st.dataframe(
+        pd.DataFrame(isf_rows).rename(
+            columns={"start": "Van", "end": "Tot", "value": "ISF (mmol/L per E)"}
+        ),
+        width="stretch",
+        hide_index=True,
+    )
+
+with col_ratio:
+    st.subheader("Koolhydraatratio")
+    ratio_rows = segments_table(profile["carbratio"])
+    st.dataframe(
+        pd.DataFrame(ratio_rows).rename(
+            columns={"start": "Van", "end": "Tot", "value": "Ratio (g koolhydraten per E)"}
+        ),
+        width="stretch",
+        hide_index=True,
+    )
+
+st.caption(
+    f"Totale dagelijkse basaal: {total_daily_basal(profile['basal']):.1f} E "
+    "(volgens profielschema, exclusief tijdelijke aanpassingen)."
+)