import io import os import re import csv import tempfile import subprocess import logging from typing import List from bs4 import BeautifulSoup from pypdf import PdfReader from docx import Document import openpyxl import pdfplumber from PIL import Image import pytesseract from striprtf.striprtf import rtf_to_text logger = logging.getLogger(__name__) class DocumentProcessor: # ========================================================= # HELPERS # ========================================================= @staticmethod def _cleanup_text(text: str) -> str: if not text: return "" text = text.replace("\xa0", " ") text = text.replace("\t", " ") text = re.sub(r"[ \t]+", " ", text) text = re.sub(r"\n{3,}", "\n\n", text) return text.strip() @staticmethod def _cell_to_text(v) -> str: if v is None: return "" s = str(v).strip() return s if s else "" # ========================================================= # HTML # ========================================================= @staticmethod def normalize_email_html(html_content: str) -> str: """ Очищает HTML письма и нормализует таблицы """ soup = BeautifulSoup( html_content, "html.parser" ) for tag in soup(["script", "style"]): tag.decompose() for table in soup.find_all("table"): table["style"] = ( "border-collapse: collapse; width: 100%;" ) for cell in table.find_all(["td", "th"]): cell["style"] = ( "border:1px solid #ccc;padding:6px;" ) return str(soup) # ========================================================= # MAIN # ========================================================= def extract_text( self, content: bytes, filename: str ) -> str: ext = filename.lower().split(".")[-1] try: # ================================================= # PDF # ================================================= if ext == "pdf": return self._extract_pdf(content) # ================================================= # WORD # ================================================= elif ext in ["docx", "docm"]: return self._extract_docx(content) elif ext == "doc": return self._extract_doc(content) elif ext == "rtf": return self._extract_rtf(content) # ================================================= # EXCEL # ================================================= elif ext in ["xlsx", "xlsm", "xlsxm"]: return self._extract_excel_openpyxl(content) elif ext == "xls": return self._extract_excel_xls(content) elif ext == "csv": return self._extract_csv(content) # ================================================= # IMAGES / OCR # ================================================= elif ext in [ "png", "jpg", "jpeg", "gif", "bmp", "webp" ]: return self._extract_image(content) elif ext in ["tif", "tiff"]: return self._extract_tiff(content) # ================================================= # TEXT # ================================================= elif ext == "txt": try: return content.decode("utf-8") except Exception: return content.decode( "cp1251", errors="ignore" ) # ================================================= # UNKNOWN # ================================================= logger.warning( f"Unsupported attachment format: {ext}" ) return "" except Exception: logger.exception( f"Attachment processing failed: {filename}" ) return "" # ========================================================= # PDF # ========================================================= def _extract_pdf( self, content: bytes ) -> str: try: parts = [] with pdfplumber.open( io.BytesIO(content) ) as pdf: for page_num, page in enumerate( pdf.pages, start=1 ): parts.append( f"=== PAGE {page_num} ===" ) # ===================================== # TEXT # ===================================== try: text = page.extract_text() if text: parts.append(text) except Exception as e: logger.warning( f"PDF text extraction failed: {e}" ) # ===================================== # TABLES # ===================================== try: tables = page.extract_tables() for table_idx, table in enumerate( tables, start=1 ): parts.append( f"=== TABLE {table_idx} ===" ) for row in table: if not row: continue cells = [] for cell in row: if cell is None: continue txt = str(cell).strip() txt = " ".join( txt.split() ) if txt: cells.append(txt) if cells: parts.append( " | ".join(cells) ) except Exception as e: logger.warning( f"PDF table extraction failed: {e}" ) text = "\n".join(parts) return self._cleanup_text(text) except Exception as e: logger.error(f"PDF parse failed: {e}") return "" # ========================================================= # DOCX / DOCM # ========================================================= def _extract_docx( self, content: bytes ) -> str: try: doc = Document(io.BytesIO(content)) parts = [] # ============================================= # PARAGRAPHS # ============================================= for p in doc.paragraphs: txt = p.text.strip() if txt: parts.append(txt) # ============================================= # TABLES # ============================================= for table_idx, table in enumerate( doc.tables ): parts.append( f"=== TABLE {table_idx + 1} ===" ) for row in table.rows: cells = [] for cell in row.cells: cell_parts = [] # ================================= # DIRECT CELL TEXT # ================================= txt = "\n".join( p.text.strip() for p in cell.paragraphs if p.text.strip() ) txt = " ".join(txt.split()) if txt: cell_parts.append(txt) # ================================= # NESTED TABLES # ================================= for nested_table in cell.tables: for nested_row in nested_table.rows: nested_vals = [] for nested_cell in nested_row.cells: nested_txt = "\n".join( p.text.strip() for p in nested_cell.paragraphs if p.text.strip() ) nested_txt = " ".join( nested_txt.split() ) if nested_txt: nested_vals.append( nested_txt ) if nested_vals: cell_parts.append( " || ".join( nested_vals ) ) # ================================= # FINAL CELL # ================================= if cell_parts: cells.append( " <<>> ".join( cell_parts ) ) if cells: parts.append( " | ".join(cells) ) text = "\n".join(parts) return self._cleanup_text(text) except Exception as e: logger.error(f"DOCX parse failed: {e}") return "" # ========================================================= # DOC # ========================================================= def _extract_doc( self, content: bytes ) -> str: try: with tempfile.TemporaryDirectory() as tmpdir: input_path = os.path.join( tmpdir, "temp.doc" ) with open(input_path, "wb") as f: f.write(content) subprocess.run( [ "libreoffice", "--headless", "--convert-to", "docx", input_path, "--outdir", tmpdir, ], check=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL, ) converted_path = os.path.join( tmpdir, "temp.docx" ) if not os.path.exists( converted_path ): logger.error( "DOC conversion failed" ) return "" with open( converted_path, "rb" ) as f: converted_content = f.read() return self._extract_docx( converted_content ) except Exception as e: logger.error(f"DOC parse failed: {e}") return "" # ========================================================= # RTF # ========================================================= def _extract_rtf( self, content: bytes ) -> str: try: try: text = content.decode("utf-8") except Exception: text = content.decode( "cp1251", errors="ignore" ) text = rtf_to_text(text) return self._cleanup_text(text) except Exception as e: logger.error(f"RTF parse failed: {e}") return "" # ========================================================= # XLSX # ========================================================= def _extract_excel_openpyxl( self, content: bytes ) -> str: try: wb = openpyxl.load_workbook( io.BytesIO(content), data_only=True ) text = [] for sheet in wb.worksheets: text.append( f"=== SHEET: {sheet.title} ===" ) # ===================================== # MERGED CELLS # ===================================== merged_ranges = list( sheet.merged_cells.ranges ) if merged_ranges: text.append( "=== MERGED CELLS ===" ) for r in merged_ranges: text.append(str(r)) # ===================================== # ROWS # ===================================== text.append("[ROWS]") for row in sheet.iter_rows( values_only=True ): vals = [ self._cell_to_text(c) for c in row ] vals = [x for x in vals if x] if vals: text.append( " | ".join(vals) ) # ===================================== # COLUMNS # ===================================== text.append("[COLUMNS]") max_col = sheet.max_column or 0 max_row = sheet.max_row or 0 for c in range(1, max_col + 1): vals = [] for r in range(1, max_row + 1): v = self._cell_to_text( sheet.cell(r, c).value ) if v: vals.append(v) if vals: col_letter = ( openpyxl.utils .get_column_letter(c) ) text.append( f"COL {col_letter}: " + " || ".join(vals) ) return self._cleanup_text( "\n".join(text) ) except Exception as e: logger.error( f"XLSX parse failed: {e}" ) return "" # ========================================================= # XLS # ========================================================= def _extract_excel_xls( self, content: bytes ) -> str: try: import xlrd workbook = xlrd.open_workbook( file_contents=content ) text = [] for sheet in workbook.sheets(): text.append( f"=== SHEET: {sheet.name} ===" ) for row_idx in range( sheet.nrows ): row = sheet.row_values( row_idx ) vals = [ self._cell_to_text(c) for c in row ] vals = [x for x in vals if x] if vals: text.append( " | ".join(vals) ) return self._cleanup_text( "\n".join(text) ) except Exception as e: logger.error(f"XLS parse failed: {e}") return "" # ========================================================= # CSV # ========================================================= def _extract_csv( self, content: bytes ) -> str: try: try: text = content.decode("utf-8") except Exception: text = content.decode( "cp1251", errors="ignore" ) reader = csv.reader( io.StringIO(text) ) rows = [] for row in reader: vals = [ str(x).strip() for x in row if str(x).strip() ] if vals: rows.append( " | ".join(vals) ) return self._cleanup_text( "\n".join(rows) ) except Exception as e: logger.error(f"CSV parse failed: {e}") return "" # ========================================================= # OCR # ========================================================= def _ocr_image( self, image: Image.Image ) -> str: try: text = pytesseract.image_to_string( image, lang="rus+eng", config="--psm 6" ) return self._cleanup_text(text) except Exception as e: logger.error(f"OCR failed: {e}") return "" # ========================================================= # IMAGE # ========================================================= def _extract_image( self, content: bytes ) -> str: try: image = Image.open( io.BytesIO(content) ) return self._ocr_image(image) except Exception as e: logger.error( f"Image parse failed: {e}" ) return "" # ========================================================= # TIFF # ========================================================= def _extract_tiff( self, content: bytes ) -> str: try: image = Image.open( io.BytesIO(content) ) texts = [] for frame in range( getattr(image, "n_frames", 1) ): image.seek(frame) texts.append( self._ocr_image(image) ) return self._cleanup_text( "\n".join(texts) ) except Exception as e: logger.error( f"TIFF parse failed: {e}" ) return ""