import plotly.graph_objects as go
import requests
import streamlit as st

from auth import require_auth
from data_processing import classify_treatments
from nightscout_client import NightscoutConfigError
from reporting import (
    bolus_stats,
    day_of_week_pattern,
    gmi_percent,
    overnight_daytime_split,
    site_interval_stats,
)
from ui_common import get_colors, load_range_data, select_period_days

st.set_page_config(page_title="Glucose dashboard — Trends", page_icon="📊", layout="wide")
require_auth()

st.title("Trends")
st.caption("Geschat HbA1c (GMI) over tijd en overige statistieken (FR7, FR8).")

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()

colors = get_colors()
events = classify_treatments(treatments)

# --- FR7: geschat HbA1c (GMI) per maand ------------------------------------
st.subheader("Geschat HbA1c (GMI) per maand")
monthly = glucose.copy()
monthly["month"] = monthly["timestamp"].dt.to_period("M").astype(str)
monthly_gmi = monthly.groupby("month")["mmol"].mean().apply(gmi_percent)

if len(monthly_gmi) >= 1:
    fig = go.Figure(
        go.Bar(x=monthly_gmi.index, y=monthly_gmi.to_numpy(), marker_color=colors["glucose"])
    )
    fig.update_layout(
        paper_bgcolor="rgba(0,0,0,0)",
        plot_bgcolor="rgba(0,0,0,0)",
        font_color=colors["text"],
        height=280,
        margin={"l": 10, "r": 10, "t": 10, "b": 10},
        yaxis={"title": "GMI (%)", "gridcolor": colors["grid"]},
        xaxis={"title": "Maand", "gridcolor": colors["grid"]},
    )
    st.plotly_chart(fig, width="stretch")
st.caption("GMI is een schatting (Bergenstal et al. 2018), geen labwaarde.")

# --- FR8: nacht vs. overdag --------------------------------------------------
st.subheader("Nacht (00:00-06:00) vs. overdag")
split = overnight_daytime_split(glucose)
col1, col2 = st.columns(2)
col1.metric("Tijd in bereik 's nachts", f"{split['overnight']['in_range']:.0f}%")
col2.metric("Tijd in bereik overdag", f"{split['daytime']['in_range']:.0f}%")

# --- FR8: patroon per weekdag -------------------------------------------------
st.subheader("Patroon per weekdag")
weekday_df = day_of_week_pattern(glucose)
weekday_plot = weekday_df.dropna(subset=["mean_mmol"])
if not weekday_plot.empty:
    fig = go.Figure(
        go.Bar(x=weekday_plot["weekday"], y=weekday_plot["mean_mmol"], marker_color=colors["glucose"])
    )
    fig.update_layout(
        paper_bgcolor="rgba(0,0,0,0)",
        plot_bgcolor="rgba(0,0,0,0)",
        font_color=colors["text"],
        height=280,
        margin={"l": 10, "r": 10, "t": 10, "b": 10},
        yaxis={"title": "Gem. glucose (mmol/L)", "gridcolor": colors["grid"]},
        xaxis={"gridcolor": colors["grid"]},
    )
    st.plotly_chart(fig, width="stretch")

# --- FR8: bolus-insuline --------------------------------------------------
st.subheader("Bolus-insuline")
st.caption(
    "Alleen bolusinsuline (maaltijd/correctie/combo/SMB) — basaalinsuline vereist "
    "profielgegevens en is hier niet in verwerkt (zie docs/design-reporting.md)."
)
bolus = bolus_stats(treatments)
col1, col2 = st.columns(2)
col1.metric("Totaal bolus", f"{bolus['total_units']:.1f} E")
col2.metric("Aantal boluses", bolus["count"])
if bolus["by_type"]:
    st.table({"type": list(bolus["by_type"].keys()), "eenheden": list(bolus["by_type"].values())})

# --- FR8: pompsite-leeftijd vs. glucose/insuline ---------------------------
st.subheader("Pompsite-leeftijd vs. glucose en insuline")
st.caption(
    "Statistieken per interval tussen opeenvolgende pompwissels — een benadering "
    "(zonder basaalinsuline) van of insulinebehoefte samenhangt met de leeftijd "
    "van de pompsite."
)
site_stats = site_interval_stats(glucose, treatments, events["site_changes"])
if site_stats.empty:
    st.info("Geen pompwissels gevonden in deze periode.")
else:
    display = site_stats.copy()
    display["start"] = display["start"].dt.strftime("%d-%m-%Y")
    display["end"] = display["end"].dt.strftime("%d-%m-%Y")
    st.dataframe(display, width="stretch", hide_index=True)

st.caption(f"Periode: {start.strftime('%d-%m-%Y')} t/m {end.strftime('%d-%m-%Y')}")