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]>
This commit is contained in:
Claude Sonnet 5
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import requests
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import streamlit as st
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from auth import require_auth
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from nightscout_client import NightscoutConfigError
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from reporting import (
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gmi_percent,
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percent_cv,
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sensor_active_percent,
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tir_breakdown_5band,
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)
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from ui_common import load_range_data, select_period_days
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st.set_page_config(page_title="Glucose dashboard — Samenvatting", page_icon="📊", layout="wide")
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require_auth()
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st.title("Samenvatting")
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st.caption("AGP-stijl samenvattingsstatistieken over een gekozen periode (FR2, FR9).")
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start, end, days = select_period_days(default_label="90 dagen")
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try:
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glucose, _treatments = load_range_data(start, end)
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except NightscoutConfigError as exc:
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st.error(str(exc))
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st.stop()
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except (requests.RequestException, ValueError) as exc:
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st.error(f"Kon geen data ophalen van Nightscout: {exc}")
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st.stop()
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if glucose.empty:
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st.info("Geen glucosemetingen gevonden in deze periode.")
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st.stop()
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active_pct = sensor_active_percent(glucose, start, end)
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if active_pct < 70:
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st.warning(
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f"Slechts {active_pct:.0f}% sensordekking in deze periode (streefwaarde ≥70%). "
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"De onderstaande cijfers zijn mogelijk minder betrouwbaar door de vele hiaten."
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)
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mean_mmol = glucose["mmol"].mean()
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gmi = gmi_percent(mean_mmol)
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cv = percent_cv(glucose)
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tir = tir_breakdown_5band(glucose)
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st.subheader("Kerncijfers")
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col1, col2, col3, col4 = st.columns(4)
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col1.metric("Sensordekking", f"{active_pct:.0f}%", help="Streefwaarde: ≥70%")
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col2.metric("Gemiddelde glucose", f"{mean_mmol:.1f} mmol/L")
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col3.metric("Geschat HbA1c (GMI)", f"{gmi:.1f}%", help="Bergenstal et al. 2018 — geen labwaarde")
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col4.metric("Variabiliteit (%CV)", f"{cv:.0f}%", help="Streefwaarde: ≤36%")
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st.subheader("Tijd in bereik (5 klinische banden)")
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band_labels = {
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"very_low": "Zeer laag (<3.0)",
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"low": "Laag (3.0-3.9)",
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"in_range": "In bereik (3.9-10.0)",
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"high": "Hoog (10.0-13.9)",
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"very_high": "Zeer hoog (>13.9)",
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}
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band_targets = {
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"very_low": "<1%",
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"low": "<4% (samen met zeer laag)",
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"in_range": ">70%",
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"high": "<25% (samen met zeer hoog)",
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"very_high": "<5%",
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}
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cols = st.columns(5)
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for col, band in zip(cols, band_labels, strict=True):
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col.metric(band_labels[band], f"{tir[band]:.0f}%", help=f"Streefwaarde: {band_targets[band]}")
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st.caption(
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f"Periode: {start.strftime('%d-%m-%Y')} t/m {end.strftime('%d-%m-%Y')} "
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f"({len(glucose)} metingen) · streefwaarden volgens Battelino et al. 2019"
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)
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@@ -0,0 +1,100 @@
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import plotly.graph_objects as go
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import requests
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import streamlit as st
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from auth import require_auth
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from data_processing import TARGET_HIGH, TARGET_LOW
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from nightscout_client import NightscoutConfigError
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from reporting import agp_percentile_bands
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from ui_common import get_colors, hex_to_rgba, load_range_data, select_period_days
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st.set_page_config(page_title="Glucose dashboard — AGP profiel", page_icon="📊", layout="wide")
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require_auth()
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st.title("AGP profiel")
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st.caption(
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"Percentielgrafiek over een samengesteld 24-uursbeeld (FR3) — de 5e/25e/50e/75e/"
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"95e percentiel van alle metingen op elk tijdstip van de dag in de gekozen periode."
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)
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start, end, days = select_period_days(default_label="90 dagen")
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try:
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glucose, _treatments = load_range_data(start, end)
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except NightscoutConfigError as exc:
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st.error(str(exc))
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st.stop()
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except (requests.RequestException, ValueError) as exc:
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st.error(f"Kon geen data ophalen van Nightscout: {exc}")
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st.stop()
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if glucose.empty:
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st.info("Geen glucosemetingen gevonden in deze periode.")
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st.stop()
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bands = agp_percentile_bands(glucose, bin_minutes=30)
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colors = get_colors()
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hours = bands["minute_of_day"] / 60
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fig = go.Figure()
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fig.add_hrect(y0=TARGET_LOW, y1=TARGET_HIGH, fillcolor=colors["band"], line_width=0, layer="below")
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# 5e-95e percentiel als brede, lichte band.
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fig.add_trace(
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go.Scatter(x=hours, y=bands["p95"], mode="lines", line={"width": 0}, showlegend=False, hoverinfo="skip")
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)
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fig.add_trace(
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go.Scatter(
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x=hours,
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y=bands["p5"],
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mode="lines",
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line={"width": 0},
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fill="tonexty",
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fillcolor=colors["band"],
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name="5e-95e percentiel",
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hoverinfo="skip",
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)
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)
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# 25e-75e percentiel als smallere, donkerdere band.
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fig.add_trace(
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go.Scatter(x=hours, y=bands["p75"], mode="lines", line={"width": 0}, showlegend=False, hoverinfo="skip")
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)
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fig.add_trace(
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go.Scatter(
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x=hours,
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y=bands["p25"],
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mode="lines",
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line={"width": 0},
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fill="tonexty",
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fillcolor=hex_to_rgba(colors["glucose"], 0.3),
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name="25e-75e percentiel",
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hoverinfo="skip",
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)
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)
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# Mediaan.
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fig.add_trace(
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go.Scatter(
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x=hours,
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y=bands["p50"],
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mode="lines",
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line={"color": colors["glucose"], "width": 2},
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name="Mediaan",
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hovertemplate="%{x:.0f}u · %{y:.1f} mmol/L<extra></extra>",
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)
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)
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fig.update_layout(
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paper_bgcolor="rgba(0,0,0,0)",
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plot_bgcolor="rgba(0,0,0,0)",
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font_color=colors["text"],
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legend={"orientation": "h", "yanchor": "bottom", "y": 1.02, "xanchor": "left", "x": 0},
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margin={"l": 10, "r": 10, "t": 10, "b": 10},
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height=480,
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yaxis={"title": "mmol/L", "gridcolor": colors["grid"], "zeroline": False},
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xaxis={"title": "Uur van de dag", "gridcolor": colors["grid"], "tickmode": "linear", "dtick": 2},
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)
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st.plotly_chart(fig, width="stretch")
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st.caption(
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f"Periode: {start.strftime('%d-%m-%Y')} t/m {end.strftime('%d-%m-%Y')} ({len(glucose)} metingen)"
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)
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