willemjan
29d20ca441
_entries_since/_treatments_since requested a single page via `count`, but Nightscout's /api/v1/entries and /api/v1/treatments ignore a large `count` and cap the response around ~1150/~700 documents regardless of how far back the requested period goes. Every report page relying on fetch_entries_range/fetch_treatments_range (7/14/30/90-day selectors) was silently only getting the most recent ~3-4 days, no matter the selected period. Fixed by paginating with `find[date][$lte]` cursors in a new _paginated_get(), walking back until the requested `since` boundary is reached or the server returns a short/empty page (= genuinely no more data, confirmed by manually paginating against the real instance: entries go back 50+ days, treatments only ~4 days on this install). Also added reporting.completeness_warning(), shared by the interactive pages (via ui_common.render_completeness_warning) and the PDF export, that distinguishes "a structural gap at the start of the period" (data wasn't fetched/available) from "scattered gaps below the clinical AGP coverage threshold" (Danne et al. 2017) — the previous single generic "X% sensor coverage" message read as a CGM/sensor problem even when the real cause was this fetch bug.
109 lines
3.1 KiB
Python
109 lines
3.1 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 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 (
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get_colors,
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hex_to_rgba,
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load_range_data,
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render_completeness_warning,
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select_period_days,
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)
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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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render_completeness_warning(glucose, start, end)
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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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