add reporting foundation: multipage nav, auth gate, date-range fetch

First increment of the clinical reporting feature (see
docs/requirements-reporting.md and docs/design-reporting.md): moves the
existing live view to pages/1_Live.py, adds a password gate since the
dashboard URL will be shared with the diabetes team, adds
fetch_entries_range/fetch_treatments_range for multi-day report queries,
and adds reporting.py with the core clinical calculations (GMI, %CV,
5-band time-in-range, hypo/hyper event detection per the Battelino et al.
2019 persistence rule). No report pages wired up yet — that's next.

Co-Authored-By: Claude Sonnet 5 <[email protected]>

app.py

@@ -1,241 +1,23 @@
-import plotly.graph_objects as go
-import requests
 import streamlit as st
 from dotenv import load_dotenv
 
-from data_processing import (
-    TARGET_HIGH,
-    TARGET_LOW,
-    classify_treatments,
-    summarize_time_in_range,
-)
-from nightscout_client import NightscoutConfigError, fetch_entries, fetch_treatments
+from auth import require_auth
 
 load_dotenv()  # laadt .env als die bestaat; bestaande env vars blijven leidend
 
 st.set_page_config(page_title="Glucose dashboard", page_icon="📊", layout="wide")
+require_auth()
 
 st.title("Glucose dashboard")
-
-HOURS_OPTIONS = {"6 uur": 6, "12 uur": 12, "24 uur": 24, "48 uur": 48}
-
-# Kleuren per rol, licht/donker — zie de dataviz-conventies in dit project:
-# categorale kleuren voor identiteit (glucose/insuline/carbs), status-kleuren
-# (vast, nooit hergebruikt) voor te laag/te hoog.
-PALETTE = {
-    "light": {
-        "glucose": "#2a78d6",
-        "insulin": "#1baf7a",
-        "carbs": "#eb6834",
-        "low": "#d03b3b",
-        "high": "#fab219",
-        "band": "rgba(12,163,12,0.08)",
-        "grid": "#e1e0d9",
-        "muted": "#898781",
-        "text": "#52514e",
-    },
-    "dark": {
-        "glucose": "#3987e5",
-        "insulin": "#199e70",
-        "carbs": "#d95926",
-        "low": "#d03b3b",
-        "high": "#fab219",
-        "band": "rgba(12,163,12,0.15)",
-        "grid": "#2c2c2a",
-        "muted": "#898781",
-        "text": "#c3c2b7",
-    },
-}
-
-
-@st.cache_data(ttl=60, show_spinner="Data ophalen van Nightscout...")
-def load_nightscout_data(hours: int):
-    glucose = fetch_entries(hours=hours)
-    treatments = fetch_treatments(hours=hours)
-    return glucose, treatments
-
-
-MMOL_HOVERTEMPLATE = "%{x|%d-%m %H:%M} · %{y:.1f} mmol/L<extra></extra>"
-
-
-def build_chart(glucose, insulin, carbs, site_changes, sensor_changes, colors) -> go.Figure:
-    glucose_min = min(glucose["mmol"].min(), TARGET_LOW)
-    glucose_max = max(glucose["mmol"].max(), TARGET_HIGH)
-    y_top = glucose_max + 1.0
-    lane_base = glucose_min - 2.5
-    y_bottom = lane_base - 0.5
-    insulin_lane_y = lane_base + 1.5
-    carbs_lane_y = lane_base + 0.7
-
-    fig = go.Figure()
-
-    # Streefbereik als achtergrondband, geen losse legenda-entry nodig.
-    fig.add_hrect(
-        y0=TARGET_LOW,
-        y1=TARGET_HIGH,
-        fillcolor=colors["band"],
-        line_width=0,
-        layer="below",
-    )
-
-    fig.add_trace(
-        go.Scatter(
-            x=glucose["timestamp"],
-            y=glucose["mmol"],
-            mode="lines",
-            name="Glucose",
-            line={"color": colors["glucose"], "width": 2, "shape": "spline"},
-            hovertemplate=MMOL_HOVERTEMPLATE,
-        )
-    )
-
-    low_points = glucose[glucose["mmol"] < TARGET_LOW]
-    high_points = glucose[glucose["mmol"] > TARGET_HIGH]
-    if not low_points.empty:
-        fig.add_trace(
-            go.Scatter(
-                x=low_points["timestamp"],
-                y=low_points["mmol"],
-                mode="markers",
-                name=f"Laag (<{TARGET_LOW})",
-                marker={"color": colors["low"], "size": 6},
-                hovertemplate=MMOL_HOVERTEMPLATE,
-            )
-        )
-    if not high_points.empty:
-        fig.add_trace(
-            go.Scatter(
-                x=high_points["timestamp"],
-                y=high_points["mmol"],
-                mode="markers",
-                name=f"Hoog (>{TARGET_HIGH})",
-                marker={"color": colors["high"], "size": 6},
-                hovertemplate=MMOL_HOVERTEMPLATE,
-            )
-        )
-
-    if not insulin.empty:
-        fig.add_trace(
-            go.Scatter(
-                x=insulin["timestamp"],
-                y=[insulin_lane_y] * len(insulin),
-                mode="markers",
-                name="Insuline",
-                marker={"color": colors["insulin"], "size": 10, "symbol": "triangle-up"},
-                customdata=insulin["insulin"],
-                hovertemplate="%{x|%d-%m %H:%M} · %{customdata:.1f} E<extra></extra>",
-            )
-        )
-
-    if not carbs.empty:
-        fig.add_trace(
-            go.Scatter(
-                x=carbs["timestamp"],
-                y=[carbs_lane_y] * len(carbs),
-                mode="markers",
-                name="Koolhydraten",
-                marker={"color": colors["carbs"], "size": 10, "symbol": "circle"},
-                customdata=carbs["carbs"],
-                hovertemplate="%{x|%d-%m %H:%M} · %{customdata:.0f} g<extra></extra>",
-            )
-        )
-
-    # Let op: annotation_text/-position via add_vline() zelf triggert een bug
-    # in plotly's shapeannotation-helper met pandas Timestamp-x-waarden, dus
-    # de lijn en het label worden hier los toegevoegd.
-    for _, row in site_changes.iterrows():
-        fig.add_vline(x=row["timestamp"], line_dash="dot", line_color=colors["muted"], opacity=0.6)
-        fig.add_annotation(
-            x=row["timestamp"],
-            y=y_top,
-            yanchor="bottom",
-            text="Pomp",
-            showarrow=False,
-            font={"color": colors["muted"], "size": 10},
-        )
-    for _, row in sensor_changes.iterrows():
-        fig.add_vline(x=row["timestamp"], line_dash="dash", line_color=colors["muted"], opacity=0.6)
-        fig.add_annotation(
-            x=row["timestamp"],
-            y=y_top,
-            yanchor="bottom",
-            text="Sensor",
-            showarrow=False,
-            font={"color": colors["muted"], "size": 10},
-        )
-
-    fig.update_layout(
-        paper_bgcolor="rgba(0,0,0,0)",
-        plot_bgcolor="rgba(0,0,0,0)",
-        font_color=colors["text"],
-        legend={"orientation": "h", "yanchor": "bottom", "y": 1.02, "xanchor": "left", "x": 0},
-        margin={"l": 10, "r": 10, "t": 10, "b": 10},
-        height=480,
-        yaxis={
-            "title": "mmol/L",
-            "range": [y_bottom, y_top],
-            "gridcolor": colors["grid"],
-            "zeroline": False,
-        },
-        xaxis={"gridcolor": colors["grid"]},
-    )
-    return fig
-
-
-with st.sidebar:
-    st.header("Instellingen")
-    hours_label = st.radio("Periode", list(HOURS_OPTIONS.keys()), index=2)
-    hours = HOURS_OPTIONS[hours_label]
-    if st.button("Vernieuwen"):
-        st.cache_data.clear()
-
-try:
-    glucose, treatments = load_nightscout_data(hours)
-except NightscoutConfigError as exc:
-    st.error(str(exc))
-    st.stop()
-except (requests.RequestException, ValueError) as exc:  # netwerk-/API-fouten van Nightscout
-    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()
-
-events = classify_treatments(treatments)
-tir = summarize_time_in_range(glucose)
-
-latest = glucose.iloc[-1]
-previous = glucose.iloc[-2] if len(glucose) > 1 else None
-delta = round(latest["mmol"] - previous["mmol"], 1) if previous is not None else None
-
-col1, col2, col3, col4 = st.columns(4)
-col1.metric("Actuele glucose", f"{latest['mmol']:.1f} mmol/L", delta=delta, delta_color="off")
-col2.metric("Tijd in bereik", f"{tir['in_range']:.0f}%")
-col3.metric("Tijd laag", f"{tir['low']:.0f}%")
-col4.metric("Tijd hoog", f"{tir['high']:.0f}%")
-st.caption(
-    f"Laatste meting: {latest['timestamp'].strftime('%d-%m-%Y %H:%M')} · "
-    f"streefbereik {TARGET_LOW}-{TARGET_HIGH} mmol/L"
-)
-
-theme_type = "light"
-try:
-    theme_type = st.context.theme.type or "light"
-except AttributeError:
-    pass
-colors = PALETTE["dark" if theme_type == "dark" else "light"]
-
-fig = build_chart(
-    glucose,
-    events["insulin"],
-    events["carbs"],
-    events["site_changes"],
-    events["sensor_changes"],
-    colors,
-)
-st.plotly_chart(fig, width="stretch")
-st.caption(
-    "Driehoekjes = insuline · cirkels = koolhydraten · stippellijn = pompwissel · "
-    "streepjeslijn = sensorwissel"
+st.write("Kies een pagina in de zijbalk.")
+st.markdown(
+    """
+    - **Live** — rollend overzicht van de laatste uren, met insuline/koolhydraten/pomp-/sensorwissels
+    - **Samenvatting** — AGP-samenvattingsstatistieken en tijd-in-bereik over een gekozen periode
+    - **AGP profiel** — percentielgrafiek over een 24-uurs samengesteld beeld
+    - **Dagoverzicht** — losse glucosegrafiek per dag
+    - **Hypo events** / **Hyper events** — detectie en analyse van te lage/hoge periodes
+    - **Trends** — geschat HbA1c (GMI) over tijd en overige statistieken
+    - **Export** — PDF-rapport van geselecteerde onderdelen
+    """
 )