"""
Human+ — Page 1: Upload Lab PDF
Refactored: semua konten pakai Streamlit native.
"""

import streamlit as st
from ui.components import (
    render_trust_badges,
    render_section_label,
    render_info_card,
    render_highlight_quote,
    render_error_state,
)


def render_upload_page():
    render_trust_badges()

    # ── Cara kerja ────────────────────────────────────────────────
    render_section_label("CARA KERJA", "🔄")

    col1, col2, col3 = st.columns(3)
    with col1:
        st.markdown("**1 · 📤 Upload PDF**")
        st.caption("Hasil lab dari klinik manapun")
    with col2:
        st.markdown("**2 · 🧠 AI Analisis**")
        st.caption("Gemini baca & identifikasi biomarker")
    with col3:
        st.markdown("**3 · 💉 Terima Protocol**")
        st.caption("IV drip + suplemen hyperpersonal")

    st.write("")

    # ── Upload zone ───────────────────────────────────────────────
    render_section_label("UPLOAD HASIL LAB", "📋")

    uploaded_file = st.file_uploader(
        label="Upload PDF hasil lab (maks 10MB)",
        type=["pdf"],
        help="Format: PDF · Maksimal 10MB · Data tidak disimpan di server",
    )

    st.caption("🔒 PDF · Maks 10MB · Semua data hanya diproses sementara")

    # ── Validasi & lanjut ─────────────────────────────────────────
    if uploaded_file is not None:

        if uploaded_file.size > 10 * 1024 * 1024:
            render_error_state(
                title="File Terlalu Besar",
                message="Maksimal ukuran file adalah 10MB. Silakan compress PDF terlebih dahulu.",
            )
            return

        size_kb  = uploaded_file.size / 1024
        size_str = f"{size_kb:.1f} KB" if size_kb < 1024 else f"{size_kb/1024:.2f} MB"

        # File preview — native columns
        col_icon, col_info, col_ok = st.columns([1, 6, 1])
        with col_icon:
            st.write("📄")
        with col_info:
            st.markdown(f"**{uploaded_file.name}**")
            st.caption(f"{size_str} · PDF siap dianalisis")
        with col_ok:
            st.write("✅")

        # Simpan ke session state SEBELUM tombol ditekan
        if st.session_state.uploaded_pdf_bytes is None:
            st.session_state.uploaded_pdf_bytes = uploaded_file.read()
            st.session_state.pdf_filename = uploaded_file.name

        st.write("")
        if st.button("🔬 Analisis Hasil Lab Saya", type="primary", use_container_width=True):
            st.session_state.step = 2
            st.rerun()

    else:
        st.caption("↑ Upload file PDF untuk memulai")

    # ── Quote ─────────────────────────────────────────────────────
    st.write("")
    render_highlight_quote(
        "Tubuh manusia luar biasa jika diberi apa yang dibutuhkannya. "
        "Mulai dari data lab Anda, lalu ambil action."
    )

    # ── Biomarker list ────────────────────────────────────────────
    render_section_label("BIOMARKER YANG DIANALISIS", "🧬")
    render_info_card(
        title="LONGEVITY MARKERS",
        icon="🎯",
        body=(
            "hs-CRP · Homocysteine · Vitamin D · HbA1c · Testosterone · Magnesium · "
            "Zinc · Vitamin B12 · Ferritin · ApoB · Triglycerides · HDL · "
            "TSH · Cortisol · DHEA-S · Fasting Insulin · dan lainnya. "
            "Semua dibandingkan dengan optimal longevity range Human+, "
            "bukan sekadar range lab standar."
        ),
    )