import display_gloss as dg
import synonyms_preprocess as sp
from NLP_Spacy_base_translator import NlpSpacyBaseTranslator 
from flask import Flask, render_template, Response, request, send_file
import io
import cv2
import numpy as np
import os
import requests
from concurrent.futures import ThreadPoolExecutor
from urllib.parse import quote, unquote
import tempfile
import re
from functools import lru_cache
from typing import List, Dict, Any
import logging
from contextlib import contextmanager

# 로깅 설정
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

app = Flask(__name__, static_folder='static')
app.config['TITLE'] = 'Sign Language Translate'

# 전역 변수를 초기화하고 캐싱
nlp, dict_docs_spacy = sp.load_spacy_values()
dataset, list_2000_tokens = dg.load_data()

# 스레드 풀 생성
executor = ThreadPoolExecutor(max_workers=4)

# 메모리 캐시 데코레이터
@lru_cache(maxsize=1000)
def clean_quotes(text: str) -> str:
    """따옴표 정리 함수"""
    text = re.sub(r"'+", "'", text)
    text = re.sub(r'\s+', ' ', text).strip()
    return text

@lru_cache(maxsize=1000)
def is_korean(text: str) -> bool:
    """한글이 포함되어 있는지 확인"""
    return bool(re.search('[가-힣]', text))

@lru_cache(maxsize=1000)
def is_english(text: str) -> bool:
    """텍스트가 영어인지 확인하는 함수"""
    text_without_quotes = re.sub(r"'[^']*'|\s", "", text)
    return bool(re.match(r'^[A-Za-z.,!?-]*$', text_without_quotes))

@lru_cache(maxsize=1000)
def normalize_quotes(text: str) -> str:
    """따옴표 형식을 정규화하는 함수"""
    text = re.sub(r"'+", "'", text)
    text = re.sub(r'\s+', ' ', text).strip()
    
    if re.search(r"'[^']*'", text):
        return text
    return text

@lru_cache(maxsize=1000)
def find_quoted_words(text: str) -> List[str]:
    """작은따옴표로 묶인 단어들을 찾는 함수"""
    return re.findall(r"'([^']*)'", text)

@lru_cache(maxsize=1000)
def spell_out_word(word: str) -> str:
    """단어를 개별 알파벳으로 분리하는 함수"""
    return ' '.join(list(word.lower()))

def translate_text_chunk(text: str, source_lang: str, target_lang: str) -> str:
    """텍스트 번역 함수"""
    try:
        url = "https://translate.googleapis.com/translate_a/single"
        params = {
            "client": "gtx",
            "sl": source_lang,
            "tl": target_lang,
            "dt": "t",
            "q": text
        }
        
        response = requests.get(url, params=params)
        if response.status_code != 200:
            logger.error(f"Translation API error: {response.status_code}")
            return text
            
        data = response.json()
        return ' '.join(item[0] for item in data[0] if item[0])
            
    except Exception as e:
        logger.error(f"Translation error: {e}")
        return text

def translate_korean_text(text: str) -> str:
    """한글 전용 번역 함수"""
    try:
        quoted_match = re.search(r"'([^']*)'", text)
        if not quoted_match:
            # 인용부호가 없는 경우 전체 텍스트를 번역하도록 함
            translated_text = translate_text_chunk(text, "ko", "en")
            # 번역 후 추가 전처리 (필요한 경우)
            translated_text = re.sub(r'\bNAME\b', 'name', translated_text)
            translated_text = translated_text.replace(" .", ".")
            return translated_text

        quoted_word = quoted_match.group(1)
        
        # 본문 번역: 인용부호 단어를 placeholder로 대체
        main_text = text.replace(f"'{quoted_word}'", "XXXXX")
        translated_main = translate_text_chunk(main_text, "ko", "en")
        
        # 인용된 단어 처리
        if re.match(r'^[A-Za-z]+$', quoted_word):
            proper_noun = quoted_word.upper()
        else:
            proper_noun = translate_text_chunk(quoted_word, "ko", "en").upper()

        final_text = translated_main.replace("XXXXX", f"'{proper_noun}'")
        final_text = re.sub(r'\bNAME\b', 'name', final_text)
        final_text = final_text.replace(" .", ".")
        
        return final_text

    except Exception as e:
        logger.error(f"Korean translation error: {e}")
        return text


def translate_korean_to_english(text: str) -> str:
    """전체 텍스트 번역 함수"""
    try:
        text = normalize_quotes(text)
        
        if is_english(text):
            # 영어 문장 안의 작은따옴표 단어를 대문자로 바꿔주는 처리
            quoted_match = re.search(r"'([^']*)'", text)
            if quoted_match:
                quoted_word = quoted_match.group(1).upper()
                text = re.sub(r"'[^']*'", f"'{quoted_word}'", text, 1)
            return text

        if is_korean(text):
            return translate_korean_text(text)

        return text
    except Exception as e:
        logger.error(f"Translation error: {e}")
        return text

def process_frame(frame_data: bytes) -> np.ndarray:
    """프레임 처리 함수"""
    try:
        frame_content = frame_data.split(b'\r\n\r\n')[1]
        nparr = np.frombuffer(frame_content, np.uint8)
        return cv2.imdecode(nparr, cv2.IMREAD_COLOR)
    except Exception as e:
        logger.error(f"Frame processing error: {e}")
        raise

@contextmanager
def video_writer(path: str, frame_size: tuple, fps: int = 25):
    """비디오 작성을 위한 컨텍스트 매니저"""
    fourcc = cv2.VideoWriter_fourcc(*'mp4v')
    writer = cv2.VideoWriter(path, fourcc, fps, frame_size)
    try:
        yield writer
    finally:
        writer.release()

def generate_complete_video(gloss_list: List[str], dataset: Dict[str, Any], list_2000_tokens: List[str]) -> bytes:
    """최적화된 비디오 생성 함수"""
    try:
        frames = []
        is_spelling = False
        
        # 프레임 생성을 병렬로 처리
        with ThreadPoolExecutor() as executor:
            for gloss in gloss_list:
                if gloss == 'FINGERSPELL-START':
                    is_spelling = True
                    continue
                elif gloss == 'FINGERSPELL-END':
                    is_spelling = False
                    continue
                
                frame_futures = [
                    executor.submit(process_frame, frame)
                    for frame in dg.generate_video([gloss], dataset, list_2000_tokens)
                ]
                frames.extend([future.result() for future in frame_futures])
        
        if not frames:
            raise Exception("No frames generated")

        height, width = frames[0].shape[:2]
        
        with tempfile.NamedTemporaryFile(suffix='.mp4', delete=False) as temp_file:
            temp_path = temp_file.name
            
            with video_writer(temp_path, (width, height)) as out:
                for frame in frames:
                    out.write(frame)
            
            with open(temp_path, 'rb') as f:
                video_bytes = f.read()
            
        os.remove(temp_path)
        return video_bytes
        
    except Exception as e:
        logger.error(f"Video generation error: {str(e)}")
        raise

@app.route('/')
def index():
    return render_template('index.html', title=app.config['TITLE'])

@app.route('/translate/', methods=['POST'])
def result():
    if request.method == 'POST':
        input_text = request.form['inputSentence'].strip()
        if not input_text:
            # 에러 페이지로 이동
            return render_template('error.html', error="Please enter text to translate")
        
        try:
            input_text = normalize_quotes(input_text)
            english_text = translate_korean_to_english(input_text)
            if not english_text:
                raise Exception("Translation failed")
            
            quoted_words = find_quoted_words(english_text)
            
            # NLP 처리를 스레드 풀에서 실행
            def process_nlp():
                clean_english = re.sub(r"'([^']*)'", r"\1", english_text)
                eng_to_asl_translator = NlpSpacyBaseTranslator(sentence=clean_english)
                return eng_to_asl_translator.translate_to_gloss()
                
            generated_gloss = executor.submit(process_nlp).result()
            
            # 작은따옴표 처리(지정된 영단어는 fingerspell로 변환)
            processed_gloss = []
            words = generated_gloss.split()
            
            for word in words:
                word_upper = word.upper()
                if quoted_words and word_upper in [w.upper() for w in quoted_words]:
                    spelled_word = spell_out_word(word)
                    processed_gloss.extend(['FINGERSPELL-START'] + spelled_word.split() + ['FINGERSPELL-END'])
                else:
                    processed_gloss.append(word.lower())
            
            gloss_sentence_before_synonym = " ".join(processed_gloss)
            
            # 동의어 처리
            final_gloss = []
            i = 0
            while i < len(processed_gloss):
                if processed_gloss[i] == 'FINGERSPELL-START':
                    # fingerspell 구간은 그대로 넣는다
                    final_gloss.extend(processed_gloss[i:i+2])  # FINGERSPELL-START + 첫 글자
                    i += 2
                    while i < len(processed_gloss) and processed_gloss[i] != 'FINGERSPELL-END':
                        final_gloss.append(processed_gloss[i])
                        i += 1
                    if i < len(processed_gloss):
                        final_gloss.append(processed_gloss[i])  # FINGERSPELL-END
                        i += 1
                else:
                    word = processed_gloss[i]
                    # 동의어 찾기를 스레드 풀에서 비동기로 실행하여 결과 얻기
                    synonym = executor.submit(
                        sp.find_synonyms,
                        word,
                        nlp,
                        dict_docs_spacy,
                        list_2000_tokens
                    ).result()
                    final_gloss.append(synonym)
                    i += 1
            
            gloss_sentence_after_synonym = " ".join(final_gloss)
            
            return render_template(
                'result.html',
                title=app.config['TITLE'],
                original_sentence=input_text,
                english_translation=english_text,
                gloss_sentence_before_synonym=gloss_sentence_before_synonym,
                gloss_sentence_after_synonym=gloss_sentence_after_synonym
            )
                                
        except Exception as e:
            logger.error(f"Translation processing error: {str(e)}")
            return render_template('error.html', error=f"Translation error: {str(e)}")

@app.route('/video_feed')
def video_feed():
    sentence = request.args.get('gloss_sentence_to_display', '')
    gloss_list = sentence.split()
    return Response(
        dg.generate_video(gloss_list, dataset, list_2000_tokens), 
        mimetype='multipart/x-mixed-replace; boundary=frame'
    )

@app.route('/download_video/<path:gloss_sentence>')
def download_video(gloss_sentence: str):
    try:
        decoded_sentence = unquote(gloss_sentence)
        gloss_list = decoded_sentence.split()
        
        if not gloss_list:
            return "No gloss provided", 400
            
        video_bytes = generate_complete_video(gloss_list, dataset, list_2000_tokens)
        
        if not video_bytes:
            return "Failed to generate video", 500
            
        return send_file(
            io.BytesIO(video_bytes),
            mimetype='video/mp4',
            as_attachment=True,
            download_name='sign_language.mp4'
        )
    except Exception as e:
        logger.error(f"Video download error: {str(e)}")
        return f"Error downloading video: {str(e)}", 500

# 만약 main.py를 직접 실행하는 경우(개발 환경)
if __name__ == "__main__":
    app.run(host="0.0.0.0", port=7860, debug=True)

# ---------------------------------------------------------------------
# Gunicorn 설정을 main.py 파일 내에 포함 (Gunicorn 실행 시 -c 옵션으로 사용)
# 아래 변수들은 Gunicorn이 main.py를 설정 파일로 사용할 경우 적용됩니다.
bind = "0.0.0.0:7860"
workers = 4
timeout = 120  # worker timeout을 120초로 설정