feat: revue de code, doc CODE_REVIEW, forfaits 2026, traduction LLM, providers avec modèle
Made-with: Cursor
This commit is contained in:
Sepehr Ramezani
@@ -2,159 +2,553 @@
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Excel Translation Module
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Translates Excel files while preserving all formatting, formulas, images, and layout
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OPTIMIZED: Uses batch translation for 5-10x faster processing
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Updated to use new TranslationProvider interface with structured error handling.
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"""
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import re
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import tempfile
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import os
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import time
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import concurrent.futures
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from pathlib import Path
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from typing import Dict, Set, List, Tuple
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from typing import Dict, Set, List, Tuple, Optional, Callable, Any
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from openpyxl import load_workbook
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from openpyxl.worksheet.worksheet import Worksheet
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from openpyxl.cell.cell import Cell
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from openpyxl.utils import get_column_letter
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from services.translation_service import translation_service
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from services.providers.base import TranslationProvider
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try:
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import structlog
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logger = structlog.get_logger(__name__)
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_HAS_STRUCTLOG = True
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except ImportError:
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import logging
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logger = logging.getLogger(__name__)
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_HAS_STRUCTLOG = False
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def _log_info(event: str, **kwargs):
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"""Log info with structlog or standard logging compatibility."""
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if _HAS_STRUCTLOG:
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logger.info(event, **kwargs)
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else:
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msg = f"{event} " + " ".join(f"{k}={v}" for k, v in kwargs.items())
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logger.info(msg)
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def _log_error(event: str, **kwargs):
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"""Log error with structlog or standard logging compatibility."""
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if _HAS_STRUCTLOG:
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logger.error(event, **kwargs)
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else:
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msg = f"{event} " + " ".join(f"{k}={v}" for k, v in kwargs.items())
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logger.error(msg)
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class ExcelProcessorError(Exception):
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"""Exception for Excel processing errors with structured error codes."""
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INVALID_FORMAT = "INVALID_FORMAT"
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EXCEL_CORRUPTED = "EXCEL_CORRUPTED"
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EXCEL_READ_ERROR = "EXCEL_READ_ERROR"
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EXCEL_WRITE_ERROR = "EXCEL_WRITE_ERROR"
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EXCEL_TOO_LARGE = "EXCEL_TOO_LARGE"
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ERROR_MESSAGES = {
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INVALID_FORMAT: "Format de fichier non supporte. Utilisez .xlsx.",
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EXCEL_CORRUPTED: "Le fichier Excel est corrompu ou illisible.",
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EXCEL_READ_ERROR: "Erreur lors de la lecture du fichier Excel.",
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EXCEL_WRITE_ERROR: "Erreur lors de la creation du fichier traduit.",
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EXCEL_TOO_LARGE: "Le fichier est trop volumineux (max 50 Mo).",
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}
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def __init__(
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self,
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code: str,
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message: Optional[str] = None,
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details: Optional[Dict[str, Any]] = None,
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):
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self.code = code
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self.message = message or self.ERROR_MESSAGES.get(code, "Erreur inconnue")
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self.details = details or {}
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super().__init__(self.message)
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def to_dict(self) -> Dict[str, Any]:
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"""Convert error to dictionary format for API responses."""
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result = {"error": self.code, "message": self.message}
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if self.details:
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result["details"] = self.details
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return result
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class ExcelTranslator:
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"""Handles translation of Excel files with strict formatting preservation"""
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def __init__(self):
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self.translation_service = translation_service
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self.formula_pattern = re.compile(r'=.*')
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def translate_file(self, input_path: Path, output_path: Path, target_language: str) -> Path:
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"""
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Handles translation of Excel files with strict formatting preservation.
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Uses the new TranslationProvider interface for improved error handling
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and fallback chain support.
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"""
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MAX_FILE_SIZE_MB = 50
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XLSX_MAGIC_BYTES = b"PK" # .xlsx files are ZIP archives
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def __init__(self, provider: Optional[TranslationProvider] = None):
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"""
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Initialize ExcelTranslator.
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Args:
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provider: TranslationProvider instance for translations.
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If None, will use fallback to legacy translation_service.
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"""
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self._provider = provider
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self.formula_pattern = re.compile(r"=.*")
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self._custom_prompt: Optional[str] = None
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def set_provider(self, provider: TranslationProvider) -> None:
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"""Set the translation provider."""
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self._provider = provider
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def set_custom_prompt(self, prompt: Optional[str]) -> None:
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"""Set custom system prompt for LLM providers."""
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self._custom_prompt = prompt
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def translate_file(
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self,
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input_path: Path,
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output_path: Path,
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target_language: str,
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source_language: str = "auto",
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progress_callback: Optional[Callable[[Dict[str, Any]], None]] = None,
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) -> Path:
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"""
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Translate an Excel file while preserving all formatting and structure.
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Uses batch translation for improved performance.
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Args:
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input_path: Path to input Excel file
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output_path: Path for translated output file
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target_language: Target language code (e.g., 'fr', 'en')
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source_language: Source language code (default: auto-detect)
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progress_callback: Optional callback for progress updates
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Receives dict with: sheet, total_sheets, cells_translated
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Returns:
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Path to translated file
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Raises:
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ExcelProcessorError: If file is invalid, corrupted, or processing fails
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"""
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workbook = load_workbook(input_path, data_only=False)
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# Collect all translatable text elements
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text_elements = [] # List of (text, setter_function)
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sheet_names_to_translate = []
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for sheet_name in workbook.sheetnames:
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worksheet = workbook[sheet_name]
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self._collect_from_worksheet(worksheet, text_elements)
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sheet_names_to_translate.append(sheet_name)
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# Add sheet names to translate
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sheet_name_setters = []
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for sheet_name in sheet_names_to_translate:
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text_elements.append((sheet_name, None)) # None setter - handled separately
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sheet_name_setters.append(sheet_name)
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# Batch translate all texts at once
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if text_elements:
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texts = [elem[0] for elem in text_elements]
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print(f"Batch translating {len(texts)} text segments...")
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translated_texts = self.translation_service.translate_batch(texts, target_language)
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# Apply translations to cells
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sheet_name_offset = len(text_elements) - len(sheet_name_setters)
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for i, ((original_text, setter), translated) in enumerate(zip(text_elements[:sheet_name_offset], translated_texts[:sheet_name_offset])):
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if translated is not None and setter is not None:
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start_time = time.time()
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input_path = Path(input_path)
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output_path = Path(output_path)
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self._validate_file(input_path)
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try:
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workbook = load_workbook(input_path, data_only=False)
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except Exception as e:
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raise ExcelProcessorError(
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code=ExcelProcessorError.EXCEL_CORRUPTED,
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details={"file_name": input_path.name, "error": str(e)},
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)
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try:
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cells_translated = 0
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total_sheets = len(workbook.sheetnames)
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# Emit initial progress
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if progress_callback:
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progress_callback(
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{
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"current": 0,
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"total": total_sheets,
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"sheet": 0,
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"total_sheets": total_sheets,
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"cells_translated": 0,
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}
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)
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text_elements: List[Tuple[str, Callable[[str], None]]] = []
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sheet_names_to_translate = []
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for sheet_idx, sheet_name in enumerate(workbook.sheetnames):
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worksheet = workbook[sheet_name]
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self._collect_from_worksheet(worksheet, text_elements)
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sheet_names_to_translate.append(sheet_name)
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# Emit progress after each sheet collection (ensures < 500ms latency)
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if progress_callback:
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progress_callback(
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{
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"current": sheet_idx + 1,
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"total": total_sheets,
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"sheet": sheet_idx + 1,
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"total_sheets": total_sheets,
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"cells_translated": cells_translated,
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}
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)
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for sheet_name in sheet_names_to_translate:
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text_elements.append((sheet_name, None))
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if text_elements:
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texts = [elem[0] for elem in text_elements]
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total_texts = len(texts)
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sheet_name_offset = total_texts - len(sheet_names_to_translate)
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_log_info(
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"excel_batch_translation_start",
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file_name=input_path.name,
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text_count=total_texts,
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target_lang=target_language,
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)
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# Translate all text elements in parallel chunks, reporting real-time
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# progress after each chunk completes.
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CHUNK_SIZE = 15
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MAX_WORKERS = 6
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chunks = [
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(i, texts[i : i + CHUNK_SIZE])
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for i in range(0, total_texts, CHUNK_SIZE)
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]
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translated_texts: List[str] = [""] * total_texts
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completed_items = [0]
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def _translate_chunk(
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chunk_idx: int, chunk: List[str]
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) -> Tuple[int, List[str]]:
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return chunk_idx, self._batch_translate(
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chunk, target_language, source_language
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)
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with concurrent.futures.ThreadPoolExecutor(max_workers=MAX_WORKERS) as pool:
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future_map = {
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pool.submit(_translate_chunk, idx, chunk): (idx, chunk)
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for idx, chunk in chunks
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}
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for future in concurrent.futures.as_completed(future_map):
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chunk_idx, translated_chunk = future.result()
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for j, t in enumerate(translated_chunk):
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translated_texts[chunk_idx + j] = t
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completed_items[0] += len(translated_chunk)
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if progress_callback:
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done = min(completed_items[0], total_texts)
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progress_callback(
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{
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"current": done,
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"total": total_texts,
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"sheet": done,
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"total_sheets": total_texts,
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"cells_translated": cells_translated,
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}
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)
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# Apply cell translations
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for i, ((original_text, setter), translated) in enumerate(
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zip(
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text_elements[:sheet_name_offset],
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translated_texts[:sheet_name_offset],
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)
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):
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if translated is not None and setter is not None:
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try:
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setter(translated)
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cells_translated += 1
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except Exception as e:
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_log_error(
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"excel_setter_error",
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error=str(e),
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index=i,
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)
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# Apply sheet name translations
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sheet_name_mapping = {}
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for i, (sheet_name, translated) in enumerate(
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zip(sheet_names_to_translate, translated_texts[sheet_name_offset:])
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):
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if translated and translated != sheet_name:
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new_name = self._sanitize_sheet_name(translated)
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counter = 1
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base_name = new_name[:28] if len(new_name) > 28 else new_name
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while (
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new_name in sheet_name_mapping.values()
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or new_name in workbook.sheetnames
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):
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new_name = f"{base_name}_{counter}"
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counter += 1
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sheet_name_mapping[sheet_name] = new_name
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for original_name, new_name in sheet_name_mapping.items():
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try:
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setter(translated)
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except Exception as e:
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print(f"Error applying translation: {e}")
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# Apply sheet name translations
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sheet_name_mapping = {}
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for i, (sheet_name, translated) in enumerate(zip(sheet_name_setters, translated_texts[sheet_name_offset:])):
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if translated and translated != sheet_name:
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new_name = translated[:31]
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counter = 1
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base_name = new_name[:28] if len(new_name) > 28 else new_name
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while new_name in sheet_name_mapping.values() or new_name in workbook.sheetnames:
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new_name = f"{base_name}_{counter}"
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counter += 1
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sheet_name_mapping[sheet_name] = new_name
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# Rename sheets
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for original_name, new_name in sheet_name_mapping.items():
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workbook[original_name].title = new_name
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# Translate images if enabled (separate process)
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if getattr(self.translation_service, 'translate_images', False):
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for sheet_name in workbook.sheetnames:
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self._translate_images(workbook[sheet_name], target_language)
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workbook.save(output_path)
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workbook.close()
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return output_path
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def _collect_from_worksheet(self, worksheet: Worksheet, text_elements: List[Tuple[str, callable]]):
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"""Collect all translatable text from worksheet cells"""
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workbook[original_name].title = new_name
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except ValueError:
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_log_error(
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"excel_sheet_rename_failed",
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original_name=original_name,
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new_name=new_name,
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)
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try:
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workbook.save(output_path)
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except Exception as e:
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raise ExcelProcessorError(
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code=ExcelProcessorError.EXCEL_WRITE_ERROR,
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details={"file_name": output_path.name, "error": str(e)},
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)
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workbook.close()
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processing_time_ms = round((time.time() - start_time) * 1000, 2)
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_log_info(
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"excel_translation_success",
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file_name=input_path.name,
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sheets_processed=total_sheets,
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cells_translated=cells_translated,
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source_lang=source_language,
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target_lang=target_language,
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processing_time_ms=processing_time_ms,
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)
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return output_path
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except ExcelProcessorError:
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raise
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except Exception as e:
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raise ExcelProcessorError(
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code=ExcelProcessorError.EXCEL_READ_ERROR,
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details={"file_name": input_path.name, "error": str(e)},
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)
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def _validate_file(self, file_path: Path) -> None:
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"""Validate file format and size."""
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if not file_path.exists():
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raise ExcelProcessorError(
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code=ExcelProcessorError.EXCEL_READ_ERROR,
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message=f"Fichier introuvable: {file_path.name}",
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details={"file_name": file_path.name},
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)
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if file_path.suffix.lower() != ".xlsx":
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raise ExcelProcessorError(
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code=ExcelProcessorError.INVALID_FORMAT,
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details={
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"file_name": file_path.name,
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"extension": file_path.suffix,
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"expected": ".xlsx",
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},
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)
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with open(file_path, "rb") as f:
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header = f.read(4)
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if header[:2] != self.XLSX_MAGIC_BYTES:
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raise ExcelProcessorError(
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code=ExcelProcessorError.INVALID_FORMAT,
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details={"file_name": file_path.name, "reason": "Invalid file header"},
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)
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file_size_mb = file_path.stat().st_size / (1024 * 1024)
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if file_size_mb > self.MAX_FILE_SIZE_MB:
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raise ExcelProcessorError(
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code=ExcelProcessorError.EXCEL_TOO_LARGE,
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details={
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"file_name": file_path.name,
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"size_mb": round(file_size_mb, 2),
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"max_mb": self.MAX_FILE_SIZE_MB,
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},
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)
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def _sanitize_sheet_name(self, name: str) -> str:
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"""
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Sanitize a sheet name to be valid for Excel.
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Excel forbids: : \\ / ? * [ ]
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Max length: 31 characters
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"""
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invalid_chars = ":\\/?*[]"
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sanitized = "".join(c if c not in invalid_chars else "_" for c in name)
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return sanitized[:31]
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def _batch_translate(
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self, texts: List[str], target_language: str, source_language: str = "auto"
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) -> List[str]:
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"""
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Batch translate using new provider interface.
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Args:
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texts: List of texts to translate
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target_language: Target language code
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source_language: Source language code
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Returns:
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List of translated texts (same order as input)
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"""
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if not texts:
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return []
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if self._provider is not None:
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return self._translate_with_provider(
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texts, target_language, source_language
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)
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return self._translate_with_legacy(texts, target_language, source_language)
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def _translate_with_provider(
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self, texts: List[str], target_language: str, source_language: str
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) -> List[str]:
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"""Translate using the TranslationProvider.translate_batch() interface."""
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translated = self._provider.translate_batch(texts, target_language, source_language)
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return [
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t if (t and t.strip()) else orig
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for t, orig in zip(translated, texts)
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]
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def _translate_with_legacy(
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self, texts: List[str], target_language: str, source_language: str
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) -> List[str]:
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||||
"""Fallback to legacy translation_service for backward compatibility."""
|
||||
from services.translation_service import translation_service
|
||||
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||||
_log_info(
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||||
"excel_using_legacy_service",
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||||
text_count=len(texts),
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||||
target_lang=target_language,
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||||
)
|
||||
|
||||
return translation_service.translate_batch(
|
||||
texts, target_language, source_language
|
||||
)
|
||||
|
||||
def _collect_from_worksheet(
|
||||
self,
|
||||
worksheet: Worksheet,
|
||||
text_elements: List[Tuple[str, Callable[[str], None]]],
|
||||
) -> None:
|
||||
"""Collect all translatable text from worksheet cells."""
|
||||
for row in worksheet.iter_rows():
|
||||
for cell in row:
|
||||
if cell.value is not None:
|
||||
self._collect_from_cell(cell, text_elements)
|
||||
|
||||
def _collect_from_cell(self, cell: Cell, text_elements: List[Tuple[str, callable]]):
|
||||
"""Collect text from a cell"""
|
||||
|
||||
def _collect_from_cell(
|
||||
self, cell: Cell, text_elements: List[Tuple[str, Callable[[str], None]]]
|
||||
) -> None:
|
||||
"""Collect text from a cell."""
|
||||
original_value = cell.value
|
||||
|
||||
|
||||
if original_value is None:
|
||||
return
|
||||
|
||||
# Handle formulas - collect text inside quotes
|
||||
if isinstance(original_value, str) and original_value.startswith('='):
|
||||
string_pattern = re.compile(r'"([^"]*)"')
|
||||
|
||||
if isinstance(original_value, str) and original_value.startswith("="):
|
||||
# Handle both double quotes and single quotes in formulas
|
||||
# Also handles escaped quotes: "He said ""hello""" -> He said "hello"
|
||||
string_pattern = re.compile(r'"((?:[^"\\]|\\.)*)"')
|
||||
single_quote_pattern = re.compile(r"'((?:[^'\\]|\\.)*)'")
|
||||
|
||||
strings = string_pattern.findall(original_value)
|
||||
strings.extend(single_quote_pattern.findall(original_value))
|
||||
|
||||
for s in strings:
|
||||
if s.strip():
|
||||
|
||||
def make_formula_setter(c, orig_formula, orig_string):
|
||||
def setter(translated):
|
||||
c.value = orig_formula.replace(f'"{orig_string}"', f'"{translated}"')
|
||||
# Escape quotes in translated text to preserve formula validity
|
||||
escaped_translated = translated.replace('"', '""')
|
||||
c.value = orig_formula.replace(
|
||||
f'"{orig_string}"', f'"{escaped_translated}"'
|
||||
)
|
||||
|
||||
return setter
|
||||
text_elements.append((s, make_formula_setter(cell, original_value, s)))
|
||||
# Handle regular text
|
||||
|
||||
text_elements.append(
|
||||
(s, make_formula_setter(cell, original_value, s))
|
||||
)
|
||||
|
||||
elif isinstance(original_value, str) and original_value.strip():
|
||||
|
||||
def make_setter(c):
|
||||
def setter(text):
|
||||
c.value = text
|
||||
|
||||
return setter
|
||||
|
||||
text_elements.append((original_value, make_setter(cell)))
|
||||
|
||||
def _translate_images(self, worksheet: Worksheet, target_language: str):
|
||||
"""Translate text in images using vision model"""
|
||||
from services.translation_service import OllamaTranslationProvider
|
||||
|
||||
if not isinstance(self.translation_service.provider, OllamaTranslationProvider):
|
||||
return
|
||||
|
||||
|
||||
def _translate_images(self, worksheet: Worksheet, target_language: str) -> None:
|
||||
"""
|
||||
Translate text in images using vision model.
|
||||
|
||||
NOTE: This method is currently NOT CALLED in translate_file() as image translation
|
||||
is not part of the current story scope (Story 2.7). It is intentionally preserved
|
||||
for future implementation when vision model support is prioritized.
|
||||
|
||||
TODO: Call this method during translate_file() when implementing image translation feature.
|
||||
"""
|
||||
try:
|
||||
images = getattr(worksheet, '_images', [])
|
||||
|
||||
images = getattr(worksheet, "_images", [])
|
||||
|
||||
for idx, image in enumerate(images):
|
||||
try:
|
||||
image_data = image._data()
|
||||
ext = image.format or 'png'
|
||||
|
||||
with tempfile.NamedTemporaryFile(suffix=f'.{ext}', delete=False) as tmp:
|
||||
ext = image.format or "png"
|
||||
|
||||
with tempfile.NamedTemporaryFile(
|
||||
suffix=f".{ext}", delete=False
|
||||
) as tmp:
|
||||
tmp.write(image_data)
|
||||
tmp_path = tmp.name
|
||||
|
||||
translated_text = self.translation_service.provider.translate_image(tmp_path, target_language)
|
||||
|
||||
translated_text = self._translate_image_with_legacy(
|
||||
tmp_path, target_language
|
||||
)
|
||||
os.unlink(tmp_path)
|
||||
|
||||
|
||||
if translated_text and translated_text.strip():
|
||||
anchor = image.anchor
|
||||
if hasattr(anchor, '_from'):
|
||||
if hasattr(anchor, "_from"):
|
||||
cell_ref = f"{get_column_letter(anchor._from.col + 1)}{anchor._from.row + 1}"
|
||||
cell = worksheet[cell_ref]
|
||||
from openpyxl.comments import Comment
|
||||
cell.comment = Comment(f"Image translation: {translated_text}", "Translator")
|
||||
print(f"Added Excel image translation at {cell_ref}")
|
||||
|
||||
|
||||
cell.comment = Comment(
|
||||
f"Image translation: {translated_text}", "Translator"
|
||||
)
|
||||
_log_info(
|
||||
"excel_image_translation_added",
|
||||
cell_ref=cell_ref,
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error translating Excel image {idx}: {e}")
|
||||
|
||||
_log_error(
|
||||
"excel_image_translation_error",
|
||||
image_index=idx,
|
||||
error=str(e),
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error processing Excel images: {e}")
|
||||
_log_error(
|
||||
"excel_image_processing_error",
|
||||
error=str(e),
|
||||
)
|
||||
|
||||
def _translate_image_with_legacy(
|
||||
self, image_path: str, target_language: str
|
||||
) -> str:
|
||||
"""Translate image using legacy service."""
|
||||
from services.translation_service import translation_service
|
||||
|
||||
if hasattr(translation_service, "translate_image"):
|
||||
return translation_service.translate_image(image_path, target_language)
|
||||
return ""
|
||||
|
||||
|
||||
# Global translator instance
|
||||
excel_translator = ExcelTranslator()
|
||||
|
||||
Reference in New Issue
Block a user