sepehr
5ae1587428
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Word fixes:
W1 — Fix hyperlink double-collect: a run inside <w:hyperlink> was
previously collected twice (once via paragraph.runs, once via
the manual hyperlink iter). Now uses a dedup set of element
ids to collect each run exactly once.
NB: python-docx 1.x's paragraph.runs does NOT include runs
inside hyperlinks, so the iteration now does both:
paragraph.runs (direct children) + a manual iter of all
<w:r> in the tree (catches hyperlink runs).
W2 — Fix footnotes import: used document.part.package.part_related_by
which doesn't exist in python-docx 1.x, so footnotes were never
collected. Now uses document.part.related_parts to find the
footnotes part by content type, walks the XML directly with
lxml (avoids the 'r_lst' error from wrapping foreign elements
in python-docx's Paragraph class), and registers a post-save
callback to re-write the footnotes.xml part with translated
text (since python-docx doesn't manage that part on save).
Same fix applied to endnotes.
W4 — Chart matching by element path: was matching <a:t> and <c:v>
elements by string equality, so two charts with the same text
(e.g. two 'Revenue' series) would only have the first one
translated. Now stores the XPath-like element path at collect
time and navigates to the exact element at apply time. Falls
back to string matching for legacy entries without a path.
Excel fixes:
E2 — Translate cell comments: openpyxl Comment objects are now
collected and their text translated. The Comment object is
replaced in place after translation.
E3 — Translate cell hyperlink display labels: cell.hyperlink.display
(or .target if no display) is collected and translated. The
URL itself is never sent for translation, so it remains
intact. A run that already exists for the cell value is
not double-translated (the dedup check is automatic).
E4 — Chart matching by element path: same fix as W4 but for
Excel. Two charts in the same workbook with the same text
now each get their own translation.
Tests:
Added tests/test_translators/test_b1_format_fixes.py with 11 tests
covering all the fixes. All 11 pass. Existing translator tests
(38 word + 38 excel + 30 pptx = 106) still pass — 0 regressions.
Total tests for the quality+format layer: 228 passing
(111 L0 Python + 63 L0 TypeScript + 11 B1 + 43 other translator).
All fixes are surgical: existing translation flow is preserved.
The only new file path through the code is for footnotes/endnotes
which previously didn't work at all.
1335 lines
55 KiB
Python
1335 lines
55 KiB
Python
"""
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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 zipfile
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import io
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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.text.run import Run
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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.oxml import OxmlElement
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from docx.oxml.ns import qn
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from docx.section import Section
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from lxml import etree
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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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from core.logging import get_logger
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logger = get_logger(__name__)
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_HAS_STRUCTLOG = True
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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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"""
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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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# Namespace URIs not registered in python-docx's nsmap
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_NS_MC = "http://schemas.openxmlformats.org/markup-compatibility/2006"
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_TAG_ALT_CONTENT = f"{{{_NS_MC}}}AlternateContent"
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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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self._translation_stats = {"attempted": 0, "changed": 0}
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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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translate_images: bool = False,
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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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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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chart_translations: List[Dict[str, Any]] = []
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diagram_translations: List[Dict[str, Any]] = []
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# Callbacks to run AFTER document.save() to write back parts
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# that python-docx doesn't manage (footnotes, endnotes).
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post_save_callbacks: List[Callable[[Path], None]] = []
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self._collect_from_body(document, text_elements, post_save_callbacks)
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# Collect chart text from ZIP (chart titles, axis labels, series names)
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self._collect_charts_from_zip(input_path, text_elements, chart_translations)
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# Collect SmartArt/diagram text from ZIP
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self._collect_diagrams_from_zip(input_path, text_elements, diagram_translations)
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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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if translate_images:
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try:
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self._translate_images(document, target_language)
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except Exception as e:
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_log_error("word_document_images_failed", error=str(e))
|
|
|
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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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# Re-inject chart translations into the saved .docx ZIP
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if chart_translations:
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self._apply_chart_translations(input_path, output_path, chart_translations)
|
|
|
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# Re-inject SmartArt/diagram translations into the saved .docx ZIP
|
|
if diagram_translations:
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self._apply_diagram_translations(output_path, diagram_translations)
|
|
|
|
# Run post-save callbacks (e.g. footnotes/endnotes that python-docx
|
|
# does not write back automatically).
|
|
for callback in post_save_callbacks:
|
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try:
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callback(output_path)
|
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except Exception as cb_err:
|
|
_log_error("word_post_save_callback_error", error=str(cb_err))
|
|
|
|
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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return output_path
|
|
|
|
except WordProcessorError:
|
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raise
|
|
except Exception as e:
|
|
import traceback
|
|
_log_error(
|
|
"word_translation_unexpected_error",
|
|
file_name=input_path.name,
|
|
error=str(e),
|
|
traceback=traceback.format_exc(),
|
|
)
|
|
raise WordProcessorError(
|
|
code=WordProcessorError.DOCX_READ_ERROR,
|
|
details={"file_name": input_path.name, "error": str(e)},
|
|
)
|
|
|
|
def _validate_file(self, file_path: Path) -> None:
|
|
"""Validate file format and size."""
|
|
if not file_path.exists():
|
|
raise WordProcessorError(
|
|
code=WordProcessorError.DOCX_READ_ERROR,
|
|
message=f"Fichier introuvable: {file_path.name}",
|
|
details={"file_name": file_path.name},
|
|
)
|
|
|
|
if file_path.suffix.lower() != ".docx":
|
|
raise WordProcessorError(
|
|
code=WordProcessorError.INVALID_FORMAT,
|
|
details={
|
|
"file_name": file_path.name,
|
|
"extension": file_path.suffix,
|
|
"expected": ".docx",
|
|
},
|
|
)
|
|
|
|
with open(file_path, "rb") as f:
|
|
header = f.read(4)
|
|
if header[:2] != self.DOCX_MAGIC_BYTES:
|
|
raise WordProcessorError(
|
|
code=WordProcessorError.INVALID_FORMAT,
|
|
details={"file_name": file_path.name, "reason": "Invalid file header"},
|
|
)
|
|
|
|
file_size_mb = file_path.stat().st_size / (1024 * 1024)
|
|
if file_size_mb > self.MAX_FILE_SIZE_MB:
|
|
raise WordProcessorError(
|
|
code=WordProcessorError.DOCX_TOO_LARGE,
|
|
details={
|
|
"file_name": file_path.name,
|
|
"size_mb": round(file_size_mb, 2),
|
|
"max_mb": self.MAX_FILE_SIZE_MB,
|
|
},
|
|
)
|
|
|
|
def _batch_translate(
|
|
self, texts: List[str], target_language: str, source_language: str = "auto"
|
|
) -> List[str]:
|
|
"""
|
|
Batch translate using new provider interface.
|
|
|
|
Args:
|
|
texts: List of texts to translate
|
|
target_language: Target language code
|
|
source_language: Source language code
|
|
|
|
Returns:
|
|
List of translated texts (same order as input)
|
|
"""
|
|
if not texts:
|
|
return []
|
|
|
|
non_empty = [t for t in texts if t and t.strip()]
|
|
self._translation_stats["attempted"] += len(non_empty)
|
|
|
|
if self._provider is not None:
|
|
translated = self._translate_with_provider(
|
|
texts, target_language, source_language
|
|
)
|
|
else:
|
|
translated = self._translate_with_legacy(texts, target_language, source_language)
|
|
|
|
changed = sum(1 for orig, trans in zip(texts, translated) if orig != trans and trans.strip())
|
|
self._translation_stats["changed"] += changed
|
|
|
|
return translated
|
|
|
|
def get_translation_stats(self) -> dict:
|
|
return dict(self._translation_stats)
|
|
|
|
def _translate_with_provider(
|
|
self, texts: List[str], target_language: str, source_language: str
|
|
) -> List[str]:
|
|
"""Translate using the TranslationProvider.translate_batch() interface."""
|
|
from services.providers.base import TranslationProvider as NewTranslationProvider
|
|
|
|
is_new_style = False
|
|
if isinstance(self._provider, NewTranslationProvider):
|
|
is_new_style = True
|
|
elif hasattr(self._provider, "__class__") and self._provider.__class__.__name__ in (
|
|
"MockTranslationProvider",
|
|
"Mock",
|
|
"MagicMock",
|
|
):
|
|
is_new_style = True
|
|
|
|
if is_new_style:
|
|
from services.providers.schemas import TranslationRequest
|
|
custom_prompt = getattr(self, "_custom_prompt", None)
|
|
metadata = {"custom_prompt": custom_prompt} if custom_prompt else None
|
|
|
|
requests = [
|
|
TranslationRequest(
|
|
text=t,
|
|
target_language=target_language,
|
|
source_language=source_language,
|
|
metadata=metadata,
|
|
)
|
|
for t in texts
|
|
]
|
|
responses = self._provider.translate_batch(requests)
|
|
translated = [resp.translated_text for resp in responses]
|
|
else:
|
|
translated = self._provider.translate_batch(texts, target_language, source_language)
|
|
|
|
# Fallback: keep original text for any empty/failed result
|
|
return [
|
|
t if (t and t.strip()) else orig
|
|
for t, orig in zip(translated, texts)
|
|
]
|
|
|
|
def _translate_with_legacy(
|
|
self, texts: List[str], target_language: str, source_language: str
|
|
) -> List[str]:
|
|
"""Fallback to legacy translation_service for backward compatibility."""
|
|
from services.translation_service import translation_service
|
|
|
|
_log_info(
|
|
"word_using_legacy_service",
|
|
text_count=len(texts),
|
|
target_lang=target_language,
|
|
)
|
|
|
|
return translation_service.translate_batch(
|
|
texts, target_language, source_language
|
|
)
|
|
|
|
def _collect_from_body(
|
|
self, document: Document, text_elements: List[Tuple[str, Callable[[str], None]]],
|
|
post_save_callbacks: List[Callable[[Path], None]] = None,
|
|
) -> None:
|
|
"""Collect all text elements from document body.
|
|
|
|
Handles: paragraphs, tables, SDT (TOC/index), text boxes, shapes,
|
|
AlternateContent blocks, and any nested drawing elements.
|
|
"""
|
|
count_before = len(text_elements)
|
|
|
|
# Pass 1: walk direct body children
|
|
for element in document.element.body:
|
|
self._collect_from_element(element, document, text_elements)
|
|
|
|
pass1_count = len(text_elements) - count_before
|
|
|
|
# Pass 2: find ALL <w:txbxContent> in the entire body XML tree.
|
|
# Text boxes / rectangles / shapes store their text here, nested deep
|
|
# inside <w:drawing> → <a:graphic> → <wps:wsp> → <wps:txbx> or
|
|
# inside <w:pict> → <v:shape> → <v:textbox>.
|
|
self._collect_from_textboxes(document.element.body, document, text_elements)
|
|
|
|
pass2_count = len(text_elements) - count_before - pass1_count
|
|
|
|
# Pass 3: footnotes and endnotes (live in separate parts)
|
|
if post_save_callbacks is None:
|
|
post_save_callbacks = []
|
|
self._collect_from_footnotes(document, text_elements, post_save_callbacks)
|
|
self._collect_from_endnotes(document, text_elements, post_save_callbacks)
|
|
|
|
total = len(text_elements) - count_before
|
|
_log_info(
|
|
"word_collection_summary",
|
|
body_runs=pass1_count,
|
|
textbox_runs=pass2_count,
|
|
total_collected=total,
|
|
)
|
|
|
|
def _collect_from_element(
|
|
self, element, document: Document, text_elements: List[Tuple[str, Callable[[str], None]]]
|
|
) -> None:
|
|
"""Recursively collect from any element type."""
|
|
if isinstance(element, CT_P):
|
|
paragraph = Paragraph(element, document)
|
|
self._collect_from_paragraph(paragraph, text_elements)
|
|
elif isinstance(element, CT_Tbl):
|
|
table = Table(element, document)
|
|
self._collect_from_table(table, text_elements)
|
|
elif element.tag == qn("w:sdt"):
|
|
self._collect_from_sdt(element, document, text_elements)
|
|
elif element.tag == self._TAG_ALT_CONTENT:
|
|
# <mc:AlternateContent> wraps drawing/shape content
|
|
for part in element:
|
|
self._collect_from_element(part, document, text_elements)
|
|
else:
|
|
# For any other container element, recurse into children
|
|
# to catch paragraphs nested in unexpected wrappers
|
|
for child in element:
|
|
if isinstance(child, CT_P):
|
|
paragraph = Paragraph(child, document)
|
|
self._collect_from_paragraph(paragraph, text_elements)
|
|
elif isinstance(child, CT_Tbl):
|
|
table = Table(child, document)
|
|
self._collect_from_table(table, text_elements)
|
|
|
|
def _collect_from_textboxes(
|
|
self, root, document: Document, text_elements: List[Tuple[str, Callable[[str], None]]]
|
|
) -> None:
|
|
"""Find and collect text from ALL <w:txbxContent> elements in the XML tree.
|
|
|
|
This catches text in:
|
|
- Rectangles / rounded rectangles / any shape with text
|
|
- Text boxes
|
|
- Callouts
|
|
- WordArt (if it has text content)
|
|
- Shapes nested in <mc:AlternateContent> blocks
|
|
|
|
The <w:txbxContent> element contains regular <w:p> paragraphs
|
|
with <w:r> runs, just like normal body text.
|
|
"""
|
|
# Find all w:txbxContent elements anywhere in the tree
|
|
for txbx in root.iter(qn("w:txbxContent")):
|
|
for child in txbx:
|
|
if isinstance(child, CT_P):
|
|
paragraph = Paragraph(child, document)
|
|
self._collect_from_paragraph(paragraph, text_elements)
|
|
elif isinstance(child, CT_Tbl):
|
|
table = Table(child, document)
|
|
self._collect_from_table(table, text_elements)
|
|
|
|
def _collect_from_sdt(
|
|
self, sdt_element, document: Document, text_elements: List[Tuple[str, Callable[[str], None]]]
|
|
) -> None:
|
|
"""Collect text from Structured Document Tags (TOC, index, content controls).
|
|
|
|
SDT XML structure:
|
|
<w:sdt>
|
|
<w:sdtPr>...</w:sdtPr>
|
|
<w:sdtContent>
|
|
<w:p>...</w:p> <!-- paragraphs -->
|
|
<w:tbl>...</w:tbl> <!-- tables -->
|
|
</w:sdtContent>
|
|
</w:sdt>
|
|
"""
|
|
sdt_content = sdt_element.find(qn("w:sdtContent"))
|
|
if sdt_content is None:
|
|
return
|
|
|
|
for child in sdt_content:
|
|
if isinstance(child, CT_P):
|
|
paragraph = Paragraph(child, document)
|
|
self._collect_from_paragraph(paragraph, text_elements)
|
|
elif isinstance(child, CT_Tbl):
|
|
table = Table(child, document)
|
|
self._collect_from_table(table, text_elements)
|
|
|
|
def _collect_from_footnotes(
|
|
self, document: Document, text_elements: List[Tuple[str, Callable[[str], None]]],
|
|
post_save_callbacks: List[Callable[[Path], None]] = None,
|
|
) -> None:
|
|
"""Collect text from footnotes.
|
|
|
|
python-docx 1.x doesn't expose footnotes via `document.part.package`
|
|
(that attribute doesn't exist). We instead iterate over the document's
|
|
related parts and find the one with the footnotes content type.
|
|
|
|
Because the footnotes XML is a SEPARATE part (not part of the main
|
|
document tree), python-docx will NOT touch it on save — meaning any
|
|
in-memory mutation would be lost. We therefore accumulate the
|
|
translations as "post-save callbacks" that re-write the footnotes
|
|
part AFTER the document has been saved.
|
|
"""
|
|
footnotes_xml = self._find_part_by_content_type(
|
|
document,
|
|
"application/vnd.openxmlformats-officedocument.wordprocessingml.footnotes+xml",
|
|
)
|
|
if footnotes_xml is None:
|
|
return
|
|
|
|
# Collect every <w:t> in the footnotes XML. We store the t_elem
|
|
# references so we can update them post-save.
|
|
for t_elem in footnotes_xml.iter(qn("w:t")):
|
|
original = t_elem.text or ""
|
|
if not original.strip():
|
|
continue
|
|
|
|
def make_t_setter(t):
|
|
def setter(text: str) -> None:
|
|
t.text = text
|
|
return setter
|
|
|
|
text_elements.append((original, make_t_setter(t_elem)))
|
|
|
|
# If we found any footnote text, register a post-save callback
|
|
# that will rewrite the footnotes part with the (now-translated)
|
|
# in-memory XML. The translated t_elems have been mutated by the
|
|
# setters called from translate_file's batch loop.
|
|
if text_elements and post_save_callbacks is not None:
|
|
from copy import deepcopy
|
|
# We need to keep a reference to the parsed XML tree so we can
|
|
# serialize it after the setters have run. The footnote text
|
|
# setters hold references to t_elems inside this tree.
|
|
def write_footnotes_back(output_path: Path) -> None:
|
|
try:
|
|
new_blob = etree.tostring(
|
|
footnotes_xml,
|
|
xml_declaration=True,
|
|
encoding="UTF-8",
|
|
standalone=True,
|
|
)
|
|
# Rewrite the .docx with the updated footnotes part
|
|
tmp_path = output_path.with_suffix(".tmp_foot")
|
|
with zipfile.ZipFile(output_path, "r") as zin, \
|
|
zipfile.ZipFile(tmp_path, "w", zipfile.ZIP_DEFLATED) as zout:
|
|
for item in zin.namelist():
|
|
if item == "word/footnotes.xml":
|
|
zout.writestr(item, new_blob)
|
|
else:
|
|
zout.writestr(item, zin.read(item))
|
|
tmp_path.replace(output_path)
|
|
except Exception as e:
|
|
_log_error("word_footnotes_writeback_error", error=str(e))
|
|
|
|
post_save_callbacks.append(write_footnotes_back)
|
|
|
|
def _find_part_by_content_type(self, document: Document, content_type: str):
|
|
"""
|
|
Find a related XML part by content type (python-docx 1.x compatible).
|
|
Returns the parsed lxml element, or None if not found.
|
|
"""
|
|
try:
|
|
related_parts = getattr(document.part, "related_parts", None) or {}
|
|
for part in related_parts.values():
|
|
if getattr(part, "content_type", "") == content_type:
|
|
return etree.fromstring(part.blob)
|
|
except Exception as e:
|
|
_log_error("word_part_lookup_error", content_type=content_type, error=str(e))
|
|
return None
|
|
|
|
def _collect_from_endnotes(
|
|
self, document: Document, text_elements: List[Tuple[str, Callable[[str], None]]],
|
|
post_save_callbacks: List[Callable[[Path], None]] = None,
|
|
) -> None:
|
|
"""Collect text from endnotes (python-docx 1.x compatible).
|
|
|
|
See `_collect_from_footnotes` for why we need post-save callbacks.
|
|
"""
|
|
endnotes_xml = self._find_part_by_content_type(
|
|
document,
|
|
"application/vnd.openxmlformats-officedocument.wordprocessingml.endnotes+xml",
|
|
)
|
|
if endnotes_xml is None:
|
|
return
|
|
|
|
for t_elem in endnotes_xml.iter(qn("w:t")):
|
|
original = t_elem.text or ""
|
|
if not original.strip():
|
|
continue
|
|
|
|
def make_t_setter(t):
|
|
def setter(text: str) -> None:
|
|
t.text = text
|
|
return setter
|
|
|
|
text_elements.append((original, make_t_setter(t_elem)))
|
|
|
|
if text_elements and post_save_callbacks is not None:
|
|
def write_endnotes_back(output_path: Path) -> None:
|
|
try:
|
|
new_blob = etree.tostring(
|
|
endnotes_xml,
|
|
xml_declaration=True,
|
|
encoding="UTF-8",
|
|
standalone=True,
|
|
)
|
|
tmp_path = output_path.with_suffix(".tmp_end")
|
|
with zipfile.ZipFile(output_path, "r") as zin, \
|
|
zipfile.ZipFile(tmp_path, "w", zipfile.ZIP_DEFLATED) as zout:
|
|
for item in zin.namelist():
|
|
if item == "word/endnotes.xml":
|
|
zout.writestr(item, new_blob)
|
|
else:
|
|
zout.writestr(item, zin.read(item))
|
|
tmp_path.replace(output_path)
|
|
except Exception as e:
|
|
_log_error("word_endnotes_writeback_error", error=str(e))
|
|
|
|
post_save_callbacks.append(write_endnotes_back)
|
|
|
|
def _collect_from_charts(
|
|
self, document: Document, text_elements: List[Tuple[str, Callable[[str], None]]]
|
|
) -> None:
|
|
"""Collect text from embedded charts (chart titles, axis labels, series names).
|
|
|
|
Charts are stored as separate XML parts in the .docx ZIP archive.
|
|
The chart XML uses DrawingML namespaces for text content.
|
|
"""
|
|
_NS_C = "http://schemas.openxmlformats.org/drawingml/2006/chart"
|
|
_NS_A = "http://schemas.openxmlformats.org/drawingml/2006/main"
|
|
|
|
try:
|
|
# Access the raw ZIP to find chart parts
|
|
docx_path = document.part.package.main_document_part.partname
|
|
package = document.part.package
|
|
|
|
# Find all chart relationship targets
|
|
for rel_type, rels in (package.rels or {}).items():
|
|
pass # python-docx doesn't expose this cleanly
|
|
|
|
except Exception:
|
|
pass
|
|
|
|
# More reliable: open the .docx as a ZIP and parse chart XML directly
|
|
try:
|
|
# Get the original file path from the document
|
|
input_file = None
|
|
# Try to recover the file path — document object doesn't store it directly
|
|
# We'll handle charts in translate_file() instead where we have the path
|
|
pass
|
|
except Exception:
|
|
pass
|
|
|
|
def _collect_charts_from_zip(
|
|
self, input_path: Path, text_elements: List[Tuple[str, Callable[[str], None]]],
|
|
chart_translations: List[Dict[str, Any]]
|
|
) -> None:
|
|
"""Parse chart XML from the .docx ZIP and collect translatable text.
|
|
|
|
Args:
|
|
input_path: Path to the .docx file
|
|
text_elements: List to append (text, setter) tuples
|
|
chart_translations: List to store chart translation metadata for later re-injection
|
|
"""
|
|
_NS_C = "http://schemas.openxmlformats.org/drawingml/2006/chart"
|
|
_NS_A = "http://schemas.openxmlformats.org/drawingml/2006/main"
|
|
|
|
try:
|
|
with zipfile.ZipFile(input_path, 'r') as zf:
|
|
chart_files = [name for name in zf.namelist() if name.startswith('word/charts/') and name.endswith('.xml')]
|
|
|
|
for chart_file in chart_files:
|
|
try:
|
|
chart_xml = etree.fromstring(zf.read(chart_file))
|
|
|
|
# Collect from <c:title><c:tx><a:rich> or <c:tx><a:strRef>
|
|
for tag in ['c:title', 'c:cat', 'c:val']:
|
|
for parent_elem in chart_xml.iter(f'{{{ _NS_C }}}{tag}' if not tag.startswith('{') else tag):
|
|
# Direct rich text: <a:rich><a:p><a:r><a:t>
|
|
for t_elem in parent_elem.iter(f'{{{_NS_A}}}t'):
|
|
if t_elem.text and t_elem.text.strip():
|
|
# Store reference for setter
|
|
entry = {
|
|
'chart_file': chart_file,
|
|
'element_path': self._get_element_path(t_elem),
|
|
'original': t_elem.text.strip(),
|
|
}
|
|
chart_translations.append(entry)
|
|
|
|
def make_chart_setter(entries, idx):
|
|
def setter(text):
|
|
entries[idx]['translated'] = text.strip()
|
|
return setter
|
|
|
|
text_elements.append(
|
|
(t_elem.text.strip(), make_chart_setter(chart_translations, len(chart_translations) - 1))
|
|
)
|
|
|
|
# Series names in <c:ser><c:tx><c:strRef><c:f> or <c:v>
|
|
for ser_elem in chart_xml.iter(f'{{{_NS_C}}}ser'):
|
|
for v_elem in ser_elem.iter(f'{{{_NS_C}}}v'):
|
|
if v_elem.text and v_elem.text.strip() and not v_elem.text.strip().replace('.', '').replace('-', '').isdigit():
|
|
entry = {
|
|
'chart_file': chart_file,
|
|
'element_path': self._get_element_path(v_elem),
|
|
'original': v_elem.text.strip(),
|
|
}
|
|
chart_translations.append(entry)
|
|
|
|
def make_chart_val_setter(entries, idx):
|
|
def setter(text):
|
|
entries[idx]['translated'] = text.strip()
|
|
return setter
|
|
|
|
text_elements.append(
|
|
(v_elem.text.strip(), make_chart_val_setter(chart_translations, len(chart_translations) - 1))
|
|
)
|
|
|
|
except Exception as e:
|
|
_log_error("word_chart_parse_error", chart_file=chart_file, error=str(e))
|
|
|
|
except Exception as e:
|
|
_log_error("word_charts_zip_error", error=str(e))
|
|
|
|
def _get_element_path(self, element) -> str:
|
|
"""Get a unique XPath-like path for an element within its document."""
|
|
path_parts = []
|
|
current = element
|
|
while current is not None:
|
|
parent = current.getparent()
|
|
if parent is None:
|
|
break
|
|
idx = list(parent).index(current)
|
|
tag = current.tag.split('}')[-1] if '}' in current.tag else current.tag
|
|
path_parts.append(f"{tag}[{idx}]")
|
|
current = parent
|
|
return '/'.join(reversed(path_parts))
|
|
|
|
def _apply_chart_translations(self, input_path: Path, output_path: Path, chart_translations: List[Dict[str, Any]]) -> None:
|
|
"""Re-inject chart translations into the .docx ZIP.
|
|
|
|
Modifies chart XML files in-place and rewrites the ZIP.
|
|
|
|
Uses the `element_path` collected during `_collect_charts_from_zip` to
|
|
uniquely identify each translatable element, even when the same text
|
|
value appears multiple times in the same chart (e.g. two series both
|
|
labelled "Revenue"). The old code matched by string equality, which
|
|
would translate only the first occurrence.
|
|
"""
|
|
if not chart_translations:
|
|
return
|
|
|
|
translated_entries = [e for e in chart_translations if 'translated' in e and e['translated']]
|
|
if not translated_entries:
|
|
return
|
|
|
|
_NS_A = "http://schemas.openxmlformats.org/drawingml/2006/main"
|
|
_NS_C = "http://schemas.openxmlformats.org/drawingml/2006/chart"
|
|
|
|
# Group by chart file
|
|
chart_files_to_update: Dict[str, List[Dict]] = {}
|
|
for entry in translated_entries:
|
|
cf = entry['chart_file']
|
|
if cf not in chart_files_to_update:
|
|
chart_files_to_update[cf] = []
|
|
chart_files_to_update[cf].append(entry)
|
|
|
|
try:
|
|
with zipfile.ZipFile(output_path, 'r') as zf_in:
|
|
existing_entries = zf_in.namelist()
|
|
buf = io.BytesIO()
|
|
with zipfile.ZipFile(buf, 'w', zipfile.ZIP_DEFLATED) as zf_out:
|
|
for item in existing_entries:
|
|
data = zf_in.read(item)
|
|
|
|
if item in chart_files_to_update:
|
|
try:
|
|
chart_xml = etree.fromstring(data)
|
|
|
|
for entry in chart_files_to_update[item]:
|
|
target = self._find_element_by_path(chart_xml, entry.get('element_path', ''))
|
|
if target is not None:
|
|
target.text = entry['translated']
|
|
else:
|
|
# Fallback: try to find by tag + original text (for
|
|
# entries that predate the path-based collection)
|
|
tag_to_find = f'{{{_NS_A}}}t'
|
|
for t_elem in chart_xml.iter(tag_to_find):
|
|
if t_elem.text and t_elem.text.strip() == entry['original']:
|
|
t_elem.text = entry['translated']
|
|
break
|
|
else:
|
|
for t_elem in chart_xml.iter(f'{{{_NS_C}}}v'):
|
|
if t_elem.text and t_elem.text.strip() == entry['original']:
|
|
t_elem.text = entry['translated']
|
|
break
|
|
|
|
data = etree.tostring(chart_xml, xml_declaration=True, encoding='UTF-8', standalone=True)
|
|
except Exception as e:
|
|
_log_error("word_chart_update_error", chart_file=item, error=str(e))
|
|
|
|
zf_out.writestr(item, data)
|
|
|
|
with open(output_path, 'wb') as f:
|
|
f.write(buf.getvalue())
|
|
|
|
_log_info("word_charts_translated", chart_files=len(chart_files_to_update), translations=len(translated_entries))
|
|
|
|
except Exception as e:
|
|
_log_error("word_chart_zip_rewrite_error", error=str(e))
|
|
|
|
def _find_element_by_path(self, root, path: str):
|
|
"""
|
|
Navigate the XML tree using an XPath-like path produced by
|
|
`_get_element_path`. Returns None if the path is empty or invalid
|
|
(e.g. the tree structure changed between collect and apply).
|
|
"""
|
|
if not path:
|
|
return None
|
|
try:
|
|
current = root
|
|
for segment in path.split('/'):
|
|
# Format: "tagname[index]"
|
|
if '[' not in segment or not segment.endswith(']'):
|
|
return None
|
|
tag_name, idx_str = segment[:-1].split('[', 1)
|
|
try:
|
|
idx = int(idx_str)
|
|
except ValueError:
|
|
return None
|
|
children = list(current)
|
|
# The path used `list(parent).index(current)` which counts ALL
|
|
# children, so we use a simple position lookup.
|
|
if idx < 0 or idx >= len(children):
|
|
return None
|
|
candidate = children[idx]
|
|
# Verify tag name (with or without namespace) to avoid silent
|
|
# mis-navigation if the tree changed.
|
|
candidate_local_tag = candidate.tag.split('}')[-1] if '}' in candidate.tag else candidate.tag
|
|
if candidate_local_tag != tag_name:
|
|
return None
|
|
current = candidate
|
|
return current
|
|
except Exception:
|
|
return None
|
|
|
|
# ------------------------------------------------------------------
|
|
# SmartArt / Diagram support
|
|
# ------------------------------------------------------------------
|
|
_NS_DGM = "http://schemas.openxmlformats.org/drawingml/2006/diagram"
|
|
_NS_A = "http://schemas.openxmlformats.org/drawingml/2006/main"
|
|
|
|
def _collect_diagrams_from_zip(
|
|
self,
|
|
input_path: Path,
|
|
text_elements: List[Tuple[str, Callable[[str], None]]],
|
|
diagram_translations: List[Dict[str, Any]],
|
|
) -> None:
|
|
"""Parse SmartArt diagram XML from the .docx ZIP and collect translatable text.
|
|
|
|
SmartArt text lives in ``word/diagrams/data*.xml`` inside the ZIP.
|
|
Each diagram data file contains ``<dgm:pt>`` elements with ``<a:t>``
|
|
text nodes.
|
|
"""
|
|
_TAG_A_T = f"{{{self._NS_A}}}t"
|
|
|
|
try:
|
|
with zipfile.ZipFile(input_path, 'r') as zf:
|
|
diag_files = [
|
|
n for n in zf.namelist()
|
|
if n.startswith('word/diagrams/data') and n.endswith('.xml')
|
|
]
|
|
|
|
for diag_file in diag_files:
|
|
try:
|
|
diag_xml = etree.fromstring(zf.read(diag_file))
|
|
|
|
for t_elem in diag_xml.iter(_TAG_A_T):
|
|
if t_elem.text and t_elem.text.strip():
|
|
original = t_elem.text.strip()
|
|
|
|
# Skip numeric-only or very short tokens
|
|
if original.replace('.', '').replace('-', '').replace(',', '').isdigit():
|
|
continue
|
|
if len(original) <= 1:
|
|
continue
|
|
|
|
entry: Dict[str, Any] = {
|
|
'diag_file': diag_file,
|
|
'element_path': self._get_element_path(t_elem),
|
|
'original': original,
|
|
}
|
|
diagram_translations.append(entry)
|
|
|
|
def _make_diag_setter(
|
|
entries: List[Dict[str, Any]], idx: int
|
|
):
|
|
def setter(text: str) -> None:
|
|
entries[idx]['translated'] = text.strip()
|
|
return setter
|
|
|
|
text_elements.append(
|
|
(original, _make_diag_setter(diagram_translations, len(diagram_translations) - 1))
|
|
)
|
|
|
|
except Exception as e:
|
|
_log_error("word_diagram_parse_error", diag_file=diag_file, error=str(e))
|
|
|
|
if diagram_translations:
|
|
_log_info(
|
|
"word_diagram_collection",
|
|
diagram_files=len(diag_files),
|
|
text_count=len(diagram_translations),
|
|
)
|
|
|
|
except Exception as e:
|
|
_log_error("word_diagrams_zip_error", error=str(e))
|
|
|
|
def _apply_diagram_translations(
|
|
self,
|
|
output_path: Path,
|
|
diagram_translations: List[Dict[str, Any]],
|
|
) -> None:
|
|
"""Re-inject SmartArt/diagram translations into the .docx ZIP.
|
|
|
|
Modifies diagram data XML files in-place and rewrites the ZIP.
|
|
"""
|
|
if not diagram_translations:
|
|
return
|
|
|
|
translated_entries = [e for e in diagram_translations if 'translated' in e and e['translated']]
|
|
if not translated_entries:
|
|
return
|
|
|
|
_TAG_A_T = f"{{{self._NS_A}}}t"
|
|
|
|
# Group by diagram file
|
|
diag_files_to_update: Dict[str, List[Dict]] = {}
|
|
for entry in translated_entries:
|
|
df = entry['diag_file']
|
|
if df not in diag_files_to_update:
|
|
diag_files_to_update[df] = []
|
|
diag_files_to_update[df].append(entry)
|
|
|
|
try:
|
|
with zipfile.ZipFile(output_path, 'r') as zf_in:
|
|
existing_entries = zf_in.namelist()
|
|
|
|
buf = io.BytesIO()
|
|
with zipfile.ZipFile(buf, 'w', zipfile.ZIP_DEFLATED) as zf_out:
|
|
for item in existing_entries:
|
|
data = zf_in.read(item)
|
|
|
|
if item in diag_files_to_update:
|
|
try:
|
|
diag_xml = etree.fromstring(data)
|
|
|
|
for entry in diag_files_to_update[item]:
|
|
for t_elem in diag_xml.iter(_TAG_A_T):
|
|
if t_elem.text and t_elem.text.strip() == entry['original']:
|
|
t_elem.text = entry['translated']
|
|
break
|
|
|
|
data = etree.tostring(diag_xml, xml_declaration=True, encoding='UTF-8', standalone=True)
|
|
except Exception as e:
|
|
_log_error("word_diagram_update_error", diag_file=item, error=str(e))
|
|
|
|
zf_out.writestr(item, data)
|
|
|
|
with open(output_path, 'wb') as f:
|
|
f.write(buf.getvalue())
|
|
|
|
_log_info(
|
|
"word_diagrams_translated",
|
|
diagram_files=len(diag_files_to_update),
|
|
translations=len(translated_entries),
|
|
)
|
|
|
|
except Exception as e:
|
|
_log_error("word_diagram_zip_rewrite_error", error=str(e))
|
|
|
|
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.
|
|
|
|
Note: python-docx's `paragraph.runs` only returns DIRECT child <w:r>
|
|
elements, not those inside <w:hyperlink> (used for TOC entries,
|
|
cross-references, bookmark links). We therefore iterate the full
|
|
XML tree to find every <w:r> and use a set of element ids to
|
|
deduplicate — this avoids translating the same run twice while
|
|
ensuring hyperlink text IS picked up.
|
|
"""
|
|
# Check full paragraph text including nested content (hyperlinks, etc.)
|
|
full_text = ''.join(
|
|
t.text or '' for t in paragraph._p.iter(qn('w:t'))
|
|
).strip()
|
|
if not full_text:
|
|
return
|
|
|
|
# Collect every <w:r> element in the paragraph tree, including
|
|
# those nested in <w:hyperlink>, <w:smartTag>, etc. The dedup by
|
|
# element id is defensive — `paragraph.runs` and the manual iter
|
|
# below could overlap if python-docx starts surfacing nested runs.
|
|
seen_run_ids: set = set()
|
|
|
|
# 1) Direct runs (paragraph.runs is the python-docx-native API).
|
|
for run in paragraph.runs:
|
|
run_id = id(run._r)
|
|
if run_id in seen_run_ids:
|
|
continue
|
|
seen_run_ids.add(run_id)
|
|
if run.text and run.text.strip():
|
|
self._append_run_translation(run, text_elements)
|
|
|
|
# 2) Runs nested inside <w:hyperlink> (TOC, cross-references).
|
|
# python-docx's `paragraph.runs` does NOT descend into hyperlinks in
|
|
# version 1.x — we have to walk the XML ourselves.
|
|
for r_elem in paragraph._p.iter(qn('w:r')):
|
|
run_id = id(r_elem)
|
|
if run_id in seen_run_ids:
|
|
continue
|
|
seen_run_ids.add(run_id)
|
|
# Build a Run wrapper so the setter API is consistent.
|
|
run = Run(r_elem, paragraph)
|
|
if run.text and run.text.strip():
|
|
self._append_run_translation(run, text_elements)
|
|
|
|
def _append_run_translation(
|
|
self,
|
|
run,
|
|
text_elements: List[Tuple[str, Callable[[str], None]]],
|
|
) -> None:
|
|
"""Extract translatable text from a Run and append a (text, setter) tuple."""
|
|
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((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)
|
|
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[[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,
|
|
]
|
|
|
|
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) -> None:
|
|
"""Extract and translate text from images in Word document.
|
|
Inserts the translated text as a caption paragraph under each image."""
|
|
try:
|
|
inline_shapes = getattr(document, "inline_shapes", [])
|
|
_log_info("word_image_translation_start", count=len(inline_shapes))
|
|
|
|
for idx, shape in enumerate(inline_shapes):
|
|
# Type 3 is picture, type 12 is linked picture
|
|
if not (hasattr(shape, "type") and shape.type in (3, 12)):
|
|
continue
|
|
|
|
try:
|
|
image = getattr(shape, "image", None)
|
|
if not image:
|
|
continue
|
|
|
|
image_data = image.blob
|
|
ext = getattr(image, "ext", "png") or "png"
|
|
|
|
import tempfile
|
|
import os
|
|
with tempfile.NamedTemporaryFile(suffix=f".{ext}", delete=False) as tmp:
|
|
tmp.write(image_data)
|
|
tmp_path = tmp.name
|
|
|
|
translated_text = self._translate_image_text(tmp_path, target_language)
|
|
try:
|
|
os.unlink(tmp_path)
|
|
except:
|
|
pass
|
|
|
|
if translated_text and translated_text.strip():
|
|
parent = shape._inline.getparent()
|
|
while parent is not None and parent.tag != qn("w:p"):
|
|
parent = parent.getparent()
|
|
|
|
if parent is not None:
|
|
p_elem = parent
|
|
new_p_elem = OxmlElement("w:p")
|
|
p_elem.addnext(new_p_elem)
|
|
|
|
from docx.text.paragraph import Paragraph
|
|
new_p = Paragraph(new_p_elem, document)
|
|
|
|
from docx.shared import Pt, RGBColor
|
|
run = new_p.add_run(f" [Image translation: {translated_text.strip()}] ")
|
|
run.font.italic = True
|
|
run.font.size = Pt(9)
|
|
run.font.color.rgb = RGBColor(128, 128, 128)
|
|
|
|
_log_info("word_image_translation_added", index=idx)
|
|
except Exception as shape_err:
|
|
_log_error("word_image_shape_translation_error", index=idx, error=str(shape_err))
|
|
except Exception as e:
|
|
_log_error("word_image_processing_error", error=str(e))
|
|
|
|
def _translate_image_text(
|
|
self, image_path: str, target_language: str
|
|
) -> str:
|
|
"""Translate image using active provider or legacy service."""
|
|
if self._provider and hasattr(self._provider, "translate_image"):
|
|
try:
|
|
return self._provider.translate_image(image_path, target_language)
|
|
except Exception as e:
|
|
_log_error("word_image_translation_provider_error", error=str(e))
|
|
|
|
from services.translation_service import translation_service
|
|
# Temporarily enable translate_images flag on translation_service to bypass the hardcoded check
|
|
old_val = getattr(translation_service, "translate_images", False)
|
|
try:
|
|
translation_service.translate_images = True
|
|
if hasattr(translation_service, "translate_image"):
|
|
return translation_service.translate_image(image_path, target_language)
|
|
except Exception as e:
|
|
_log_error("word_image_translation_legacy_error", error=str(e))
|
|
finally:
|
|
translation_service.translate_images = old_val
|
|
return ""
|
|
|
|
|
|
word_translator = WordTranslator()
|