import io
import re
import streamlit as st
import streamlit.components.v1 as components
from PIL import Image, ImageOps

# Возвращаем оригинальный генератор для 100% валидного GS1 DataMatrix
try:
    from pystrich.datamatrix import DataMatrixEncoder, DataMatrixData, FNC1
except ImportError:
    st.error("Папка pystrich не найдена. Поместите локальную копию библиотеки в корень проекта для работы на Python 3.12+.")
    DataMatrixEncoder, DataMatrixData, FNC1 = None, None, None

# ================= НАСТРОЙКИ ПЕЧАТИ =================
DPI = 203
LABEL_SIZE_MM = 20
TOTAL_DOTS = int((LABEL_SIZE_MM / 25.4) * DPI)  # 160 пикселей

def parse_cz_mark_to_parts(raw_string):
    if "(01)" in raw_string and "(21)" in raw_string:
        raw_string = raw_string.replace("(01)", "01", 1).replace("(21)", "21", 1)
        raw_string = raw_string.replace("(91)", "\x1d91", 1).replace("(92)", "\x1d92", 1).replace("(93)", "\x1d93", 1)

    if re.search(r'[А-Яа-яЁё]', raw_string):
        ru_lower = "йцукенгшщзхъфывапролджэячсмитьбюё"
        en_lower = "qwertyuiop[]asdfghjkl;'zxcvbnm,.`"
        ru_upper = "ЙЦУКЕНГШЩЗХЪФЫВАПРОЛДЖЭЯЧСМИТЬБЮЁ"
        en_upper = "QWERTYUIOP{}ASDFGHJKL:\"ZXCVBNM<>~"
        ru_spec = ".,\"№;:?"
        en_spec = "/?@#$^&"
        layout_map = str.maketrans(ru_lower + ru_upper + ru_spec, en_lower + en_upper + en_spec)
        raw_string = raw_string.translate(layout_map)
        
    raw_string = raw_string.replace('<GS>', '\x1d').replace('[GS]', '\x1d')
    
    if '\x1d' in raw_string or '\u001d' in raw_string:
        return raw_string.replace('\u001d', '\x1d').split('\x1d')
        
    if len(raw_string) < 16:
        return [raw_string]
        
    parts = []
    current_part = raw_string[:16] 
    remaining = raw_string[16:]
    
    i = 0
    while i < len(remaining):
        if i + 2 <= len(remaining):
            pair = remaining[i:i+2]
            if pair in ("91", "92", "93"):
                parts.append(current_part)
                current_part = pair
                i += 2
                continue
        current_part += remaining[i]
        i += 1
        
    parts.append(current_part)
    return parts

def create_duplicate_label(raw_dm_string):
    parts = parse_cz_mark_to_parts(raw_dm_string)
    
    args = [FNC1]
    for i, part in enumerate(parts):
        args.append(part)
        if i < len(parts) - 1:
            args.append(FNC1)
            
    payload = DataMatrixData(*args, encoding='ascii')
    encoder = DataMatrixEncoder(payload)
    dm_img = encoder.get_pilimage()
    
    img = Image.new('RGB', (TOTAL_DOTS, TOTAL_DOTS), 'white')
    PAD = 16 
    
    gray = dm_img.convert('L')
    inverted = ImageOps.invert(gray)
    bbox = inverted.getbbox()
    if bbox: 
        dm_img = dm_img.crop(bbox)
        
    pixels = dm_img.convert('L').load()
    module_size = next((x for x in range(1, dm_img.width) if pixels[x, 0] != pixels[0, 0]), 1)
            
    modules_x = dm_img.width // module_size
    modules_y = dm_img.height // module_size
    small_dm = dm_img.resize((modules_x, modules_y), Image.NEAREST)
    
    max_dm_space = TOTAL_DOTS - (PAD * 2)
    scale = max_dm_space // modules_x
    if scale < 1: scale = 1
    
    final_dm_size = modules_x * scale
    final_dm = small_dm.resize((final_dm_size, final_dm_size), Image.NEAREST)
    
    x_pos = (TOTAL_DOTS - final_dm_size) // 2
    y_pos = (TOTAL_DOTS - final_dm_size) // 2
    img.paste(final_dm, (x_pos, y_pos))

    return img.convert('1')

def run(plugin_info):
    st.markdown("""
        <style>
            div[data-testid="stTextInput"]:has(input[aria-label="scanned_hidden"]) {
                display: none;
                height: 0;
                margin: 0;
                padding: 0;
            }
        </style>
    """, unsafe_allow_html=True)

    with st.container(border=True):
        tabs = st.tabs(["⌨️ Текст / Ручной сканер", "📸 Live-Камера"])
        scanned_code = None
        
        scanned_js = st.text_input("scanned_hidden", key="scanned_hidden", label_visibility="collapsed")
        
        with tabs[0]:
            text_input = st.text_input("Отсканируйте марку или вставьте код:", key="scanned_text").strip()
            if text_input:
                scanned_code = text_input
                
        with tabs[1]:
            if scanned_js:
                scanned_code = scanned_js
                st.success("✓ Штрихкод успешно распознан!")
                if st.button("📷 Сканировать новую марку", use_container_width=True):
                    st.session_state["scanned_hidden"] = ""
                    st.rerun()
            else:
                st.info("💡 Наведите камеру на DataMatrix. Если окно черное, проверьте системные разрешения.")
                
                # HTML блок с индикатором загрузки и жесткими размерами контейнера
                components.html("""
                    <div id="reader-container" style="width: 100%; min-height: 350px; background: #000; border-radius: 8px; position: relative; overflow: hidden; box-shadow: 0 4px 12px rgba(0,0,0,0.1);">
                        <div id="status" style="color: #fff; font-family: sans-serif; position: absolute; top: 45%; left: 0; width: 100%; text-align: center;">Подключение видеопотока...</div>
                        <div id="reader" style="width: 100%; height: 100%;"></div>
                    </div>
                    <script src="https://unpkg.com/html5-qrcode" type="text/javascript"></script>
                    
                    <script type="text/javascript">
                        window.addEventListener('load', function () {
                            const statusDiv = document.getElementById('status');
                            try {
                                const html5QrCode = new Html5Qrcode("reader");
                                
                                // Убрали qrbox во избежание конфликтов размера iframe
                                const config = { 
                                    fps: 10, 
                                    formatsToSupport: [ Html5QrcodeSupportedFormats.DATA_MATRIX ]
                                };
                                
                                html5QrCode.start(
                                    { facingMode: "environment" },
                                    config,
                                    (decodedText, decodedResult) => {
                                        html5QrCode.stop().then(() => {
                                            const parentDoc = window.parent.document;
                                            const inputElement = parentDoc.querySelector('input[aria-label="scanned_hidden"]');
                                            if (inputElement) {
                                                let nativeInputValueSetter = Object.getOwnPropertyDescriptor(window.HTMLInputElement.prototype, "value").set;
                                                nativeInputValueSetter.call(inputElement, decodedText);
                                                inputElement.dispatchEvent(new Event('input', { bubbles: true }));
                                            }
                                        });
                                    },
                                    (errorMessage) => { }
                                ).then(() => {
                                    statusDiv.style.display = 'none'; // Скрываем статус загрузки
                                }).catch((err) => {
                                    statusDiv.innerHTML = '<span style="color:red; padding: 10px; display: block;">Ошибка: ' + err + '</span>';
                                });
                            } catch(e) {
                                statusDiv.innerHTML = '<span style="color:red;">Критическая ошибка: ' + e.message + '</span>';
                            }
                        });
                    </script>
                """, height=400)

        if scanned_code:
            st.divider()
            with st.spinner("Генерация дубликата..."):
                if DataMatrixEncoder is None:
                    st.error("Генерация невозможна: отсутствует локальная папка pystrich.")
                else:
                    try:
                        label_img = create_duplicate_label(scanned_code)
                        display_img = label_img.resize((label_img.width * 3, label_img.height * 3), Image.NEAREST)
                        
                        st.success("✓ Создан 100% оригинальный дубликат GS1 DataMatrix.")
                        
                        col1, col2 = st.columns([1, 2])
                        with col1:
                            st.image(display_img, caption="Сгенерированная марка")
                            
                        buf = io.BytesIO()
                        label_img.save(buf, format="PNG")
                        
                        with col2:
                            st.text_area("Распознанные данные (внутренний код):", value=scanned_code, disabled=True, height=100)
                            st.download_button(
                                label="📥 Скачать марку (PNG)",
                                data=buf.getvalue(),
                                file_name="duplicate_label.png",
                                mime="image/png",
                                use_container_width=True
                            )
                    except Exception as e:
                        st.error(f"✖ Ошибка генерации: {e}")