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