import os
import re
import unicodedata
from pypdf import PdfReader
try:
    import pytesseract
    from pdf2image import convert_from_path
    from PIL import Image
    TESSERACT_PATH = r'C:\Users\User\AppData\Local\Programs\Tesseract-OCR	esseract.exe'
    POPPLER_PATH = r'D:\이태훈\00크롬다운로드\poppler-25.12.0\Library\bin' 
    pytesseract.pytesseract.tesseract_cmd = TESSERACT_PATH
    OCR_AVAILABLE = True
except ImportError:
    OCR_AVAILABLE = False

def analyze_file_content(filename: str):
    file_path = os.path.join("sample", filename)
    if not os.path.exists(file_path):
        return {"error": "File not found"}
    
    content_parts = []
    log_steps = []
    
    try:
        if filename.lower().endswith(".pdf"):
            log_steps.append("1. 레이어: 파일 제목 분석 중...")
            log_steps.append("2. 레이어: PDF 텍스트 엔진 가동...")
            reader = PdfReader(file_path)
            text_extracted = ""
            for page in reader.pages[:5]:
                text = page.extract_text()
                if text: text_extracted += text + "
"
            if text_extracted.strip():
                content_parts.append(unicodedata.normalize('NFC', text_extracted))
            
            log_steps.append("3. 레이어: OCR 이미지 스캔 강제 실행...")
            if OCR_AVAILABLE and os.path.exists(TESSERACT_PATH):
                images = convert_from_path(file_path, first_page=1, last_page=2, poppler_path=POPPLER_PATH)
                for i, img in enumerate(images):
                    page_text = pytesseract.image_to_string(img, lang='kor+eng')
                    content_parts.append(unicodedata.normalize('NFC', page_text))
        else:
            with open(file_path, "r", encoding="utf-8", errors="ignore") as f:
                content_parts.append(unicodedata.normalize('NFC', f.read(5000)))
    except: pass

    full_content = "
".join(content_parts)
    search_pool = (full_content + " " + filename).lower().replace(" ", "").replace("
", "")
    
    result = {
        "suggested_path": "분석실패",
        "confidence": "Low",
        "log_steps": log_steps,
        "raw_text": full_content,
        "reason": "일치 키워드 없음"
    }

    if "실정보고" in search_pool:
        if any(k in search_pool for k in ["어천", "공주"]):
            if "품질" in search_pool: result["suggested_path"] = "설계변경 > 실정보고(어천~공주) > 품질관리"
            else: result["suggested_path"] = "설계변경 > 실정보고(어천~공주) > 기타"
            result["confidence"] = "100%"
            result["reason"] = "3중 레이어 분석: 실정보고+어천공주 키워드 통합 검출"

    return result