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

from auth import require_auth
from nightscout_client import NightscoutConfigError
from profile_data import segments_table, segments_to_hourly_bars, total_daily_basal
from ui_common import get_colors, hex_to_rgba, load_profile

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

st.title("Insulineprofiel")
st.caption("Het meest recent gebruikte pompprofiel: basaalschema, ISF, koolhydraatratio en DIA.")

try:
    profile = load_profile()
except NightscoutConfigError as exc:
    st.error(str(exc))
    st.stop()
except (requests.RequestException, ValueError) as exc:
    st.error(f"Kon geen profiel ophalen van Nightscout: {exc}")
    st.stop()

if not profile:
    st.info("Geen pompprofiel gevonden op deze Nightscout-instantie.")
    st.stop()

colors = get_colors()

col1, col2 = st.columns(2)
col1.metric("DIA (werkingsduur insuline)", f"{profile['dia']:.1f} uur")
col2.caption(f"Profielnaam: {profile['name'] or '—'}")

st.subheader("Basaalschema")
bars = segments_to_hourly_bars(profile["basal"])
fig = go.Figure(
    go.Scatter(
        x=[b["hour"] for b in bars],
        y=[b["value"] for b in bars],
        mode="lines",
        line={"shape": "hv", "color": colors["basal"], "width": 2},
        fill="tozeroy",
        fillcolor=hex_to_rgba(colors["basal"], 0.3),
        opacity=0.8,
        name="Basaal",
        hovertemplate="%{x:.0f}:00 · %{y:.2f} E/uur<extra></extra>",
    )
)
fig.update_layout(
    paper_bgcolor="rgba(0,0,0,0)",
    plot_bgcolor="rgba(0,0,0,0)",
    font_color=colors["text"],
    height=320,
    margin={"l": 10, "r": 10, "t": 10, "b": 10},
    xaxis={"title": "Uur van de dag", "range": [0, 24], "dtick": 2, "gridcolor": colors["grid"]},
    yaxis={"title": "E/uur", "gridcolor": colors["grid"], "rangemode": "tozero"},
    showlegend=False,
)
st.plotly_chart(fig, width="stretch")

basal_rows = segments_table(profile["basal"])
st.dataframe(
    pd.DataFrame(basal_rows).rename(
        columns={"start": "Van", "end": "Tot", "value": "Basaalsnelheid (E/uur)"}
    ),
    width="stretch",
    hide_index=True,
)

col_isf, col_ratio = st.columns(2)
with col_isf:
    st.subheader("Insulinegevoeligheid (ISF)")
    isf_rows = segments_table(profile["sens"])
    st.dataframe(
        pd.DataFrame(isf_rows).rename(
            columns={"start": "Van", "end": "Tot", "value": "ISF (mmol/L per E)"}
        ),
        width="stretch",
        hide_index=True,
    )

with col_ratio:
    st.subheader("Koolhydraatratio")
    ratio_rows = segments_table(profile["carbratio"])
    st.dataframe(
        pd.DataFrame(ratio_rows).rename(
            columns={"start": "Van", "end": "Tot", "value": "Ratio (g koolhydraten per E)"}
        ),
        width="stretch",
        hide_index=True,
    )

st.caption(
    f"Totale dagelijkse basaal: {total_daily_basal(profile['basal']):.1f} E "
    "(volgens profielschema, exclusief tijdelijke aanpassingen)."
)