"""Search tab for the parliamentary explorer."""

from __future__ import annotations

import pandas as pd

import analysis.explorer_data as explorer_data
from analysis.tabs._rendering import _render_voting_results, st


def build_search_tab(db_path: str, show_rejected: bool) -> None:
    """Build the Motie Zoeken tab."""
    st.subheader("Motie Zoeken")

    df = explorer_data.load_motions_df(db_path)
    if df.empty:
        st.warning("Geen moties beschikbaar.")
        return

    if not show_rejected:
        df = df[df["title"].fillna("").str.strip() != "Verworpen."]

    col1, col2, col3 = st.columns([2, 1, 1])
    with col1:
        query = st.text_input(
            "Zoek op titel", placeholder="bijv. stikstof, klimaat, wonen"
        )
    with col2:
        years = sorted(df["year"].dropna().astype(int).unique().tolist())
        if years:
            year_range = st.select_slider(
                "Jaar", options=years, value=(years[0], years[-1])
            )
        else:
            year_range = (2019, 2024)
    with col3:
        min_controversy = st.slider(
            "Min. controverse", min_value=0.0, max_value=1.0, value=0.0, step=0.05
        )

    working = df.copy()
    working = working[
        (working["year"] >= year_range[0]) & (working["year"] <= year_range[1])
    ]
    if min_controversy > 0:
        working = working[working["controversy_score"] >= min_controversy]
    if query:
        q = query.lower()
        mask = working["title"].fillna("").str.lower().str.contains(q, regex=False)
        working = working[mask]

    working = working.sort_values(by="controversy_score", ascending=False)
    st.caption(f"{len(working)} resultaten (top 50 getoond)")

    for _, row in working.head(50).iterrows():
        title = row.get("title") or f"Motie #{row['id']}"
        date_str = row["date"].strftime("%d %b %Y") if pd.notna(row["date"]) else "?"
        controversy = row.get("controversy_score") or 0
        with st.expander(f"**{title}** — {date_str} — {controversy:.2f}"):
            cols = st.columns(3)
            cols[0].metric("Controverse", f"{controversy:.2f}")
            cols[1].metric("Marge", f"{row.get('winning_margin', 0):.2f}")
            cols[2].metric("Jaar", int(row["year"]) if pd.notna(row["year"]) else "?")

            _render_voting_results(row.get("voting_results"))

            url = row.get("url")
            if url and str(url).startswith("http"):
                st.markdown(f"[Bekijk op Tweede Kamer]({url})")

            sim = explorer_data.query_similar(db_path, int(row["id"]), top_k=5)
            if not sim.empty:
                st.markdown("**Vergelijkbare moties:**")
                for _, s in sim.iterrows():
                    s_date = (
                        pd.to_datetime(s["date"]).strftime("%Y")
                        if pd.notna(s.get("date"))
                        else ""
                    )
                    st.markdown(
                        f"- {s.get('title', 'Onbekend')} *(score: {s['score']:.3f}, {s_date})*"
                    )
            else:
                st.caption("_Nog geen vergelijkbare moties beschikbaar_")