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 (
    build_tir_stacked_bar_figure,
    get_colors,
    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.plotly_chart(build_tir_stacked_bar_figure(tir, get_colors()), width="stretch")

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"
)