feat: revue de code, doc CODE_REVIEW, forfaits 2026, traduction LLM, providers avec modèle
Made-with: Cursor
This commit is contained in:
Sepehr Ramezani
@@ -2,70 +2,456 @@
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Word Document Translation Module
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Translates Word files while preserving all formatting, styles, tables, and images
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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 time
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import concurrent.futures
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from pathlib import Path
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from typing import Dict, List, Tuple, Optional, Callable, Any
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from docx import Document
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from docx.text.paragraph import Paragraph
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from docx.table import Table, _Cell
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from docx.oxml.text.paragraph import CT_P
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from docx.oxml.table import CT_Tbl
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from docx.section import Section
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from docx.shared import Inches, Pt
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from docx.oxml import OxmlElement
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from docx.oxml.ns import qn
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from services.translation_service import translation_service
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from typing import List, Tuple, Any
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import tempfile
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import os
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from docx.section import Section
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from services.providers.base import TranslationProvider
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# Languages written right-to-left
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RTL_LANGUAGES: frozenset = frozenset(
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{"ar", "he", "fa", "ur", "ku", "ps", "ug", "sd", "yi", "dv", "ckb"}
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)
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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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def _set_paragraph_rtl(paragraph: Paragraph) -> None:
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"""
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Enable RTL mode on a paragraph and all its runs.
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Sets:
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- w:pPr/w:bidi → paragraph text direction = RTL
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- w:pPr/w:jc → alignment = right
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- w:rPr/w:rtl → run-level RTL marker for each run
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"""
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pPr = paragraph._p.get_or_add_pPr()
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if pPr.find(qn("w:bidi")) is None:
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pPr.append(OxmlElement("w:bidi"))
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jc = pPr.find(qn("w:jc"))
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if jc is None:
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jc = OxmlElement("w:jc")
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pPr.append(jc)
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jc.set(qn("w:val"), "right")
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for run in paragraph.runs:
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rPr = run._r.get_or_add_rPr()
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if rPr.find(qn("w:rtl")) is None:
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rPr.append(OxmlElement("w:rtl"))
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def _apply_rtl_to_document(document: Document) -> None:
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"""Apply RTL direction to every paragraph and section in the document."""
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# Body paragraphs
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for para in document.paragraphs:
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_set_paragraph_rtl(para)
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# Body tables
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for table in document.tables:
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for row in table.rows:
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for cell in row.cells:
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for para in cell.paragraphs:
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_set_paragraph_rtl(para)
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# Headers, footers, and section-level RTL (page layout direction)
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for section in document.sections:
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# Set the section (page) direction to RTL so Word renders margins,
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# columns and page numbering from right to left.
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sectPr = section._sectPr
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if sectPr.find(qn("w:bidi")) is None:
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sectPr.append(OxmlElement("w:bidi"))
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for hf in (section.header, section.footer):
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for para in hf.paragraphs:
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_set_paragraph_rtl(para)
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for table in hf.tables:
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for row in table.rows:
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for cell in row.cells:
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for para in cell.paragraphs:
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_set_paragraph_rtl(para)
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class WordProcessorError(Exception):
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"""Exception for Word processing errors with structured error codes."""
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INVALID_FORMAT = "INVALID_FORMAT"
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DOCX_CORRUPTED = "DOCX_CORRUPTED"
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DOCX_READ_ERROR = "DOCX_READ_ERROR"
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DOCX_WRITE_ERROR = "DOCX_WRITE_ERROR"
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DOCX_TOO_LARGE = "DOCX_TOO_LARGE"
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ERROR_MESSAGES = {
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INVALID_FORMAT: "Format de fichier non supporte. Utilisez .docx.",
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DOCX_CORRUPTED: "Le document Word est corrompu ou illisible.",
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DOCX_READ_ERROR: "Erreur lors de la lecture du document Word.",
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DOCX_WRITE_ERROR: "Erreur lors de la creation du document traduit.",
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DOCX_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 WordTranslator:
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"""Handles translation of Word documents with strict formatting preservation"""
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def __init__(self):
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self.translation_service = translation_service
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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 Word documents 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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DOCX_MAGIC_BYTES = b"PK" # .docx files are ZIP archives
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def __init__(self, provider: Optional[TranslationProvider] = None):
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"""
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Initialize WordTranslator.
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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._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 a Word document 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 Word 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: element, total_elements, runs_translated
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Returns:
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Path to translated file
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Raises:
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WordProcessorError: If file is invalid, corrupted, or processing fails
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"""
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document = Document(input_path)
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# Collect all translatable text elements
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text_elements = []
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# Collect from document body
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self._collect_from_body(document, text_elements)
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# Collect from headers and footers
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for section in document.sections:
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self._collect_from_section(section, text_elements)
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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
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for (original_text, setter), translated in zip(text_elements, translated_texts):
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if translated is not None and translated != original_text:
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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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# Translate images if enabled (separate process)
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if getattr(self.translation_service, 'translate_images', False):
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self._translate_images(document, target_language, input_path)
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# Save the translated document
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document.save(output_path)
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return output_path
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def _collect_from_body(self, document: Document, text_elements: List[Tuple[str, callable]]):
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"""Collect all text elements from document body"""
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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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document = Document(input_path)
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except Exception as e:
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raise WordProcessorError(
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code=WordProcessorError.DOCX_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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runs_translated = 0
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text_elements: List[Tuple[str, Callable[[str], None]]] = []
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self._collect_from_body(document, text_elements)
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total_sections = len(document.sections)
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total_elements = 0
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for section_idx, section in enumerate(document.sections):
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self._collect_from_section(section, text_elements)
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total_elements = len(text_elements)
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if progress_callback:
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progress_callback(
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{
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"current": section_idx + 1,
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"total": total_sections,
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"paragraph": section_idx + 1,
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"total_paragraphs": total_sections,
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"runs_translated": runs_translated,
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"phase": "collecting",
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}
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)
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if text_elements:
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texts = [elem[0] for elem in text_elements]
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total_elements = len(text_elements)
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_log_info(
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"word_batch_translation_start",
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file_name=input_path.name,
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text_count=len(texts),
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target_lang=target_language,
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)
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# Split into chunks and translate them IN PARALLEL using a thread
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# pool. Each worker handles one chunk independently, making
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# full use of available CPU/network concurrency. Progress is
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# reported as chunks complete (out-of-order completions are
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# fine — the tracker only moves forward).
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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_elements, CHUNK_SIZE)
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]
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translated_texts: List[str] = [""] * total_elements
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completed_items = [0] # mutable counter shared across threads
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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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result = self._batch_translate(chunk, target_language, source_language)
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return chunk_idx, result
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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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start = chunk_idx
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for j, t in enumerate(translated_chunk):
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translated_texts[start + 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_elements)
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progress_callback(
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{
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"current": done,
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"total": total_elements,
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"paragraph": done,
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"total_paragraphs": total_elements,
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"runs_translated": runs_translated,
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"phase": "translating",
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}
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)
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# Apply translations (fast — just text assignment)
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for i, ((original_text, setter), translated) in enumerate(
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zip(text_elements, translated_texts)
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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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runs_translated += 1
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except Exception as e:
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_log_error(
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"word_setter_error",
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error=str(e),
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index=i,
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)
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# Apply RTL layout when the target language is written right-to-left.
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if target_language.lower() in RTL_LANGUAGES:
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_apply_rtl_to_document(document)
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if progress_callback:
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progress_callback(
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{
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"current": total_elements if text_elements else total_sections,
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"total": total_elements if text_elements else total_sections,
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"paragraph": total_sections,
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"total_paragraphs": total_sections,
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"runs_translated": runs_translated,
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"phase": "complete",
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}
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)
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try:
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document.save(output_path)
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except Exception as e:
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raise WordProcessorError(
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code=WordProcessorError.DOCX_WRITE_ERROR,
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details={"file_name": output_path.name, "error": str(e)},
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)
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processing_time_ms = round((time.time() - start_time) * 1000, 2)
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_log_info(
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"word_translation_success",
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file_name=input_path.name,
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runs_translated=runs_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 WordProcessorError:
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raise
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except Exception as e:
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raise WordProcessorError(
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code=WordProcessorError.DOCX_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 WordProcessorError(
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code=WordProcessorError.DOCX_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() != ".docx":
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raise WordProcessorError(
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code=WordProcessorError.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": ".docx",
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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.DOCX_MAGIC_BYTES:
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raise WordProcessorError(
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code=WordProcessorError.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 WordProcessorError(
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code=WordProcessorError.DOCX_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 _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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# Fallback: keep original text for any empty/failed result
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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."""
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from services.translation_service import translation_service
|
||||
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_log_info(
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||||
"word_using_legacy_service",
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||||
text_count=len(texts),
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target_lang=target_language,
|
||||
)
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||||
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return translation_service.translate_batch(
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texts, target_language, source_language
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)
|
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|
||||
def _collect_from_body(
|
||||
self, document: Document, text_elements: List[Tuple[str, Callable[[str], None]]]
|
||||
) -> None:
|
||||
"""Collect all text elements from document body."""
|
||||
for element in document.element.body:
|
||||
if isinstance(element, CT_P):
|
||||
paragraph = Paragraph(element, document)
|
||||
@@ -73,84 +459,69 @@ class WordTranslator:
|
||||
elif isinstance(element, CT_Tbl):
|
||||
table = Table(element, document)
|
||||
self._collect_from_table(table, text_elements)
|
||||
|
||||
def _collect_from_paragraph(self, paragraph: Paragraph, text_elements: List[Tuple[str, callable]]):
|
||||
"""Collect text from paragraph runs"""
|
||||
|
||||
def _collect_from_paragraph(
|
||||
self,
|
||||
paragraph: Paragraph,
|
||||
text_elements: List[Tuple[str, Callable[[str], None]]],
|
||||
) -> None:
|
||||
"""Collect text from paragraph runs, preserving inter-run whitespace.
|
||||
|
||||
Each run is sent for translation WITHOUT its surrounding whitespace.
|
||||
The whitespace is captured and reapplied after translation so that words
|
||||
at formatting boundaries (e.g. bold/normal) do not get concatenated.
|
||||
"""
|
||||
if not paragraph.text.strip():
|
||||
return
|
||||
|
||||
|
||||
for run in paragraph.runs:
|
||||
if run.text and run.text.strip():
|
||||
# Create a setter function for this run
|
||||
def make_setter(r):
|
||||
def setter(text):
|
||||
r.text = text
|
||||
original = run.text
|
||||
# Capture leading/trailing whitespace that must survive translation.
|
||||
leading = original[: len(original) - len(original.lstrip())]
|
||||
trailing = original[len(original.rstrip()) :]
|
||||
stripped = original.strip()
|
||||
|
||||
def make_setter(r, lead: str, trail: str):
|
||||
def setter(text: str) -> None:
|
||||
# Strip any whitespace the translator may have added/removed
|
||||
# and reapply the original boundary whitespace.
|
||||
r.text = lead + text.strip() + trail
|
||||
|
||||
return setter
|
||||
text_elements.append((run.text, make_setter(run)))
|
||||
|
||||
def _collect_from_table(self, table: Table, text_elements: List[Tuple[str, callable]]):
|
||||
"""Collect text from table cells"""
|
||||
|
||||
text_elements.append((stripped, make_setter(run, leading, trailing)))
|
||||
|
||||
def _collect_from_table(
|
||||
self, table: Table, text_elements: List[Tuple[str, Callable[[str], None]]]
|
||||
) -> None:
|
||||
"""Collect text from table cells."""
|
||||
for row in table.rows:
|
||||
for cell in row.cells:
|
||||
for paragraph in cell.paragraphs:
|
||||
self._collect_from_paragraph(paragraph, text_elements)
|
||||
# Handle nested tables
|
||||
for nested_table in cell.tables:
|
||||
self._collect_from_table(nested_table, text_elements)
|
||||
|
||||
def _collect_from_section(self, section: Section, text_elements: List[Tuple[str, callable]]):
|
||||
"""Collect text from headers and footers"""
|
||||
|
||||
def _collect_from_section(
|
||||
self, section: Section, text_elements: List[Tuple[str, Callable[[str], None]]]
|
||||
) -> None:
|
||||
"""Collect text from headers and footers."""
|
||||
headers_footers = [
|
||||
section.header, section.footer,
|
||||
section.first_page_header, section.first_page_footer,
|
||||
section.even_page_header, section.even_page_footer
|
||||
section.header,
|
||||
section.footer,
|
||||
section.first_page_header,
|
||||
section.first_page_footer,
|
||||
section.even_page_header,
|
||||
section.even_page_footer,
|
||||
]
|
||||
|
||||
|
||||
for hf in headers_footers:
|
||||
if hf:
|
||||
for paragraph in hf.paragraphs:
|
||||
self._collect_from_paragraph(paragraph, text_elements)
|
||||
for table in hf.tables:
|
||||
self._collect_from_table(table, text_elements)
|
||||
|
||||
def _translate_images(self, document: Document, target_language: str, input_path: Path):
|
||||
"""Extract text from images and add translations as captions"""
|
||||
from services.translation_service import OllamaTranslationProvider
|
||||
|
||||
if not isinstance(self.translation_service.provider, OllamaTranslationProvider):
|
||||
return
|
||||
|
||||
try:
|
||||
import zipfile
|
||||
import base64
|
||||
|
||||
with zipfile.ZipFile(input_path, 'r') as zip_ref:
|
||||
image_files = [f for f in zip_ref.namelist() if f.startswith('word/media/')]
|
||||
|
||||
for idx, image_file in enumerate(image_files):
|
||||
try:
|
||||
image_data = zip_ref.read(image_file)
|
||||
ext = os.path.splitext(image_file)[1]
|
||||
|
||||
with tempfile.NamedTemporaryFile(suffix=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)
|
||||
os.unlink(tmp_path)
|
||||
|
||||
if translated_text and translated_text.strip():
|
||||
p = document.add_paragraph()
|
||||
p.add_run(f"[Image {idx + 1} translation: ").bold = True
|
||||
p.add_run(translated_text)
|
||||
p.add_run("]").bold = True
|
||||
print(f"Translated image {idx + 1}: {translated_text[:50]}...")
|
||||
except Exception as e:
|
||||
print(f"Error translating image {image_file}: {e}")
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error processing images: {e}")
|
||||
|
||||
|
||||
# Global translator instance
|
||||
word_translator = WordTranslator()
|
||||
|
||||
Reference in New Issue
Block a user