add Samenvatting and AGP Profiel pages (FR2, FR3, FR9)

Wires reporting.py's stats into two new pages: a summary panel (data completeness, GMI, %CV, 5-band time-in-range vs. consensus targets) and the standard AGP percentile chart (5th-95th and 25th-75th bands plus median, aggregated by time-of-day across the selected period). Co-Authored-By: Claude Sonnet 5 <[email protected]>
2026-07-26 20:09:25 +02:00
parent 3ef9a7666a
commit 1207ff536f
6 changed files with 277 additions and 0 deletions
@@ -0,0 +1,76 @@
+import requests
+import streamlit as st
+
+from auth import require_auth
+from nightscout_client import NightscoutConfigError
+from reporting import (
+    gmi_percent,
+    percent_cv,
+    sensor_active_percent,
+    tir_breakdown_5band,
+)
+from ui_common import load_range_data, select_period_days
+
+st.set_page_config(page_title="Glucose dashboard — Samenvatting", page_icon="📊", layout="wide")
+require_auth()
+
+st.title("Samenvatting")
+st.caption("AGP-stijl samenvattingsstatistieken over een gekozen periode (FR2, FR9).")
+
+start, end, days = select_period_days(default_label="90 dagen")
+
+try:
+    glucose, _treatments = load_range_data(start, end)
+except NightscoutConfigError as exc:
+    st.error(str(exc))
+    st.stop()
+except (requests.RequestException, ValueError) as exc:
+    st.error(f"Kon geen data ophalen van Nightscout: {exc}")
+    st.stop()
+
+if glucose.empty:
+    st.info("Geen glucosemetingen gevonden in deze periode.")
+    st.stop()
+
+active_pct = sensor_active_percent(glucose, start, end)
+if active_pct < 70:
+    st.warning(
+        f"Slechts {active_pct:.0f}% sensordekking in deze periode (streefwaarde ≥70%). "
+        "De onderstaande cijfers zijn mogelijk minder betrouwbaar door de vele hiaten."
+    )
+
+mean_mmol = glucose["mmol"].mean()
+gmi = gmi_percent(mean_mmol)
+cv = percent_cv(glucose)
+tir = tir_breakdown_5band(glucose)
+
+st.subheader("Kerncijfers")
+col1, col2, col3, col4 = st.columns(4)
+col1.metric("Sensordekking", f"{active_pct:.0f}%", help="Streefwaarde: ≥70%")
+col2.metric("Gemiddelde glucose", f"{mean_mmol:.1f} mmol/L")
+col3.metric("Geschat HbA1c (GMI)", f"{gmi:.1f}%", help="Bergenstal et al. 2018 — geen labwaarde")
+col4.metric("Variabiliteit (%CV)", f"{cv:.0f}%", help="Streefwaarde: ≤36%")
+
+st.subheader("Tijd in bereik (5 klinische banden)")
+band_labels = {
+    "very_low": "Zeer laag (<3.0)",
+    "low": "Laag (3.0-3.9)",
+    "in_range": "In bereik (3.9-10.0)",
+    "high": "Hoog (10.0-13.9)",
+    "very_high": "Zeer hoog (>13.9)",
+}
+band_targets = {
+    "very_low": "<1%",
+    "low": "<4% (samen met zeer laag)",
+    "in_range": ">70%",
+    "high": "<25% (samen met zeer hoog)",
+    "very_high": "<5%",
+}
+cols = st.columns(5)
+for col, band in zip(cols, band_labels, strict=True):
+    col.metric(band_labels[band], f"{tir[band]:.0f}%", help=f"Streefwaarde: {band_targets[band]}")
+
+st.caption(
+    f"Periode: {start.strftime('%d-%m-%Y')} t/m {end.strftime('%d-%m-%Y')} "
+    f"({len(glucose)} metingen) · streefwaarden volgens Battelino et al. 2019"
+)