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.
73 lines
2.3 KiB
Python
73 lines
2.3 KiB
Python
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, render_completeness_warning, 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()
|
|
|
|
render_completeness_warning(glucose, start, end)
|
|
active_pct = sensor_active_percent(glucose, start, end)
|
|
|
|
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"
|
|
)
|