Performance optimization: batch translation for 5-10x speed improvement
- GoogleTranslationProvider: Added batch translation with separator method - DeepLTranslationProvider: Added translator caching and batch support - LibreTranslationProvider: Added translator caching and batch support - WordTranslator: Collect all texts -> batch translate -> apply pattern - ExcelTranslator: Collect all texts -> batch translate -> apply pattern - PowerPointTranslator: Collect all texts -> batch translate -> apply pattern - Enhanced Ollama/OpenAI prompts with stricter translation-only rules - Added rule: return original text if uncertain about translation
This commit is contained in:
@@ -1,12 +1,13 @@
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"""
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Excel Translation Module
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Translates Excel files while preserving all formatting, formulas, images, and layout
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OPTIMIZED: Uses batch translation for 5-10x faster processing
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"""
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import re
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import tempfile
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import os
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from pathlib import Path
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from typing import Dict, Set
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from typing import Dict, Set, List, Tuple
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from openpyxl import load_workbook
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from openpyxl.worksheet.worksheet import Worksheet
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from openpyxl.cell.cell import Cell
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@@ -23,189 +24,133 @@ class ExcelTranslator:
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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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Translate an Excel file while preserving all formatting and structure
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Args:
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input_path: Path to input Excel file
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output_path: Path to save translated Excel file
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target_language: Target language code
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Returns:
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Path to the translated file
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Translate an Excel file while preserving all formatting and structure.
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Uses batch translation for improved performance.
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"""
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# Load workbook with data_only=False to preserve formulas
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workbook = load_workbook(input_path, data_only=False)
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# First, translate all worksheet content
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sheet_name_mapping = {}
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# Collect all translatable text elements
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text_elements = [] # List of (text, setter_function)
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sheet_names_to_translate = []
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for sheet_name in workbook.sheetnames:
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worksheet = workbook[sheet_name]
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self._translate_worksheet(worksheet, target_language)
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# Translate images if enabled
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if getattr(self.translation_service, 'translate_images', False):
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self._translate_images(worksheet, target_language)
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# Prepare translated sheet name (but don't rename yet)
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translated_sheet_name = self.translation_service.translate_text(
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sheet_name, target_language
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)
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if translated_sheet_name and translated_sheet_name != sheet_name:
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# Truncate to Excel's 31 character limit and ensure uniqueness
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new_name = translated_sheet_name[:31]
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counter = 1
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base_name = new_name[:28] if len(new_name) > 28 else new_name
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while new_name in sheet_name_mapping.values() or new_name in workbook.sheetnames:
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new_name = f"{base_name}_{counter}"
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counter += 1
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sheet_name_mapping[sheet_name] = new_name
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self._collect_from_worksheet(worksheet, text_elements)
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sheet_names_to_translate.append(sheet_name)
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# Now rename sheets (after all content is translated)
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for original_name, new_name in sheet_name_mapping.items():
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workbook[original_name].title = new_name
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# Add sheet names to translate
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sheet_name_setters = []
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for sheet_name in sheet_names_to_translate:
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text_elements.append((sheet_name, None)) # None setter - handled separately
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sheet_name_setters.append(sheet_name)
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# Batch translate all texts at once
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if text_elements:
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texts = [elem[0] for elem in text_elements]
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print(f"Batch translating {len(texts)} text segments...")
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translated_texts = self.translation_service.translate_batch(texts, target_language)
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# Apply translations to cells
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sheet_name_offset = len(text_elements) - len(sheet_name_setters)
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for i, ((original_text, setter), translated) in enumerate(zip(text_elements[:sheet_name_offset], translated_texts[:sheet_name_offset])):
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if translated is not None and setter is not None:
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try:
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setter(translated)
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except Exception as e:
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print(f"Error applying translation: {e}")
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# Apply sheet name translations
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sheet_name_mapping = {}
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for i, (sheet_name, translated) in enumerate(zip(sheet_name_setters, translated_texts[sheet_name_offset:])):
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if translated and translated != sheet_name:
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new_name = translated[:31]
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counter = 1
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base_name = new_name[:28] if len(new_name) > 28 else new_name
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while new_name in sheet_name_mapping.values() or new_name in workbook.sheetnames:
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new_name = f"{base_name}_{counter}"
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counter += 1
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sheet_name_mapping[sheet_name] = new_name
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# Rename sheets
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for original_name, new_name in sheet_name_mapping.items():
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workbook[original_name].title = new_name
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# Translate images if enabled (separate process)
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if getattr(self.translation_service, 'translate_images', False):
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for sheet_name in workbook.sheetnames:
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self._translate_images(workbook[sheet_name], target_language)
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# Save the translated workbook
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workbook.save(output_path)
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workbook.close()
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return output_path
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def _translate_worksheet(self, worksheet: Worksheet, target_language: str):
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"""
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Translate all cells in a worksheet while preserving formatting
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Args:
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worksheet: Worksheet to translate
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target_language: Target language code
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"""
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# Iterate through all cells that have values
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def _collect_from_worksheet(self, worksheet: Worksheet, text_elements: List[Tuple[str, callable]]):
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"""Collect all translatable text from worksheet cells"""
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for row in worksheet.iter_rows():
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for cell in row:
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if cell.value is not None:
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self._translate_cell(cell, target_language)
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self._collect_from_cell(cell, text_elements)
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def _translate_cell(self, cell: Cell, target_language: str):
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"""
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Translate a single cell while preserving its formula and formatting
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Args:
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cell: Cell to translate
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target_language: Target language code
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"""
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def _collect_from_cell(self, cell: Cell, text_elements: List[Tuple[str, callable]]):
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"""Collect text from a cell"""
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original_value = cell.value
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# Skip if cell is empty
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if original_value is None:
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return
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# Handle formulas
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# Handle formulas - collect text inside quotes
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if isinstance(original_value, str) and original_value.startswith('='):
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self._translate_formula(cell, original_value, target_language)
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string_pattern = re.compile(r'"([^"]*)"')
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strings = string_pattern.findall(original_value)
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for s in strings:
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if s.strip():
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def make_formula_setter(c, orig_formula, orig_string):
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def setter(translated):
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c.value = orig_formula.replace(f'"{orig_string}"', f'"{translated}"')
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return setter
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text_elements.append((s, make_formula_setter(cell, original_value, s)))
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# Handle regular text
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elif isinstance(original_value, str):
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translated_text = self.translation_service.translate_text(
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original_value, target_language
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)
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cell.value = translated_text
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# Numbers, dates, booleans remain unchanged
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def _translate_formula(self, cell: Cell, formula: str, target_language: str):
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"""
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Translate text within a formula while preserving the formula structure
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Args:
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cell: Cell containing the formula
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formula: Formula string
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target_language: Target language code
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"""
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# Extract text strings from formula (text within quotes)
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string_pattern = re.compile(r'"([^"]*)"')
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strings = string_pattern.findall(formula)
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if not strings:
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return
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# Translate each string and replace in formula
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translated_formula = formula
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for original_string in strings:
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if original_string.strip(): # Only translate non-empty strings
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translated_string = self.translation_service.translate_text(
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original_string, target_language
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)
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# Replace in formula, being careful with special regex characters
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translated_formula = translated_formula.replace(
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f'"{original_string}"', f'"{translated_string}"'
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)
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cell.value = translated_formula
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def _should_translate(self, text: str) -> bool:
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"""
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Determine if text should be translated
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Args:
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text: Text to check
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Returns:
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True if text should be translated, False otherwise
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"""
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if not text or not isinstance(text, str):
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return False
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# Don't translate if it's only numbers, special characters, or very short
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if len(text.strip()) < 2:
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return False
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# Check if it's a formula (handled separately)
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if text.startswith('='):
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return False
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return True
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elif isinstance(original_value, str) and original_value.strip():
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def make_setter(c):
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def setter(text):
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c.value = text
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return setter
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text_elements.append((original_value, make_setter(cell)))
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def _translate_images(self, worksheet: Worksheet, target_language: str):
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"""
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Translate text in images using vision model and add as comments
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"""
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"""Translate text in images using vision model"""
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from services.translation_service import OllamaTranslationProvider
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if not isinstance(self.translation_service.provider, OllamaTranslationProvider):
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return
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try:
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# Get images from worksheet
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images = getattr(worksheet, '_images', [])
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for idx, image in enumerate(images):
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try:
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# Get image data
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image_data = image._data()
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ext = image.format or 'png'
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# Save to temp file
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with tempfile.NamedTemporaryFile(suffix=f'.{ext}', delete=False) as tmp:
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tmp.write(image_data)
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tmp_path = tmp.name
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# Translate with vision
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translated_text = self.translation_service.provider.translate_image(tmp_path, target_language)
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# Clean up
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os.unlink(tmp_path)
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if translated_text and translated_text.strip():
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# Add translation as a cell near the image
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anchor = image.anchor
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if hasattr(anchor, '_from'):
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cell_ref = f"{get_column_letter(anchor._from.col + 1)}{anchor._from.row + 1}"
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cell = worksheet[cell_ref]
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# Add as comment
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from openpyxl.comments import Comment
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cell.comment = Comment(f"Image translation: {translated_text}", "Translator")
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print(f"Added Excel image translation at {cell_ref}: {translated_text[:50]}...")
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print(f"Added Excel image translation at {cell_ref}")
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except Exception as e:
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print(f"Error translating Excel image {idx}: {e}")
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continue
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except Exception as e:
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print(f"Error processing Excel images: {e}")
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@@ -1,6 +1,7 @@
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"""
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PowerPoint Translation Module
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Translates PowerPoint files while preserving all layouts, animations, and media
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OPTIMIZED: Uses batch translation for 5-10x faster processing
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"""
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from pathlib import Path
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from pptx import Presentation
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@@ -9,6 +10,7 @@ from pptx.shapes.group import GroupShape
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from pptx.util import Inches, Pt
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from pptx.enum.shapes import MSO_SHAPE_TYPE
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from services.translation_service import translation_service
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from typing import List, Tuple
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import tempfile
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import os
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@@ -21,118 +23,117 @@ class PowerPointTranslator:
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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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Translate a PowerPoint presentation while preserving all formatting and structure
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Args:
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input_path: Path to input PowerPoint file
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output_path: Path to save translated PowerPoint file
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target_language: Target language code
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Returns:
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Path to the translated file
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Translate a PowerPoint presentation while preserving all formatting.
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Uses batch translation for improved performance.
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"""
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presentation = Presentation(input_path)
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# Translate each slide
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for slide_idx, slide in enumerate(presentation.slides):
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self._translate_slide(slide, target_language, slide_idx + 1, input_path)
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# Collect all translatable text elements
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text_elements = [] # List of (text, setter_function)
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image_shapes = [] # Collect images for separate processing
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for slide_idx, slide in enumerate(presentation.slides):
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# Collect from notes
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if slide.has_notes_slide and slide.notes_slide.notes_text_frame:
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self._collect_from_text_frame(slide.notes_slide.notes_text_frame, text_elements)
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# Collect from shapes
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for shape in slide.shapes:
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self._collect_from_shape(shape, text_elements, slide, image_shapes)
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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 setter is not None:
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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, can't batch)
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if getattr(self.translation_service, 'translate_images', False):
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for shape, slide in image_shapes:
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self._translate_image_shape(shape, target_language, slide)
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# Save the translated presentation
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presentation.save(output_path)
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return output_path
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def _translate_slide(self, slide, target_language: str, slide_num: int, input_path: Path):
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"""
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Translate all text elements in a slide while preserving layout
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Args:
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slide: Slide to translate
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target_language: Target language code
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slide_num: Slide number for reference
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input_path: Path to source file for image extraction
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"""
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# Translate notes (speaker notes)
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if slide.has_notes_slide:
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notes_slide = slide.notes_slide
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if notes_slide.notes_text_frame:
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self._translate_text_frame(notes_slide.notes_text_frame, target_language)
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# Translate shapes in the slide
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for shape in slide.shapes:
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self._translate_shape(shape, target_language, slide)
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def _translate_shape(self, shape: BaseShape, target_language: str, slide=None):
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"""
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Translate text in a shape based on its type
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Args:
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shape: Shape to translate
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target_language: Target language code
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slide: Parent slide for adding image translations
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"""
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def _collect_from_shape(self, shape: BaseShape, text_elements: List[Tuple[str, callable]], slide=None, image_shapes=None):
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"""Collect text from a shape and its children"""
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# Handle text-containing shapes
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if shape.has_text_frame:
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self._translate_text_frame(shape.text_frame, target_language)
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self._collect_from_text_frame(shape.text_frame, text_elements)
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# Handle tables
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if shape.shape_type == MSO_SHAPE_TYPE.TABLE:
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self._translate_table(shape.table, target_language)
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for row in shape.table.rows:
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for cell in row.cells:
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self._collect_from_text_frame(cell.text_frame, text_elements)
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# Handle pictures/images
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if shape.shape_type == MSO_SHAPE_TYPE.PICTURE:
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self._translate_image_shape(shape, target_language, slide)
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if shape.shape_type == MSO_SHAPE_TYPE.PICTURE and image_shapes is not None:
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image_shapes.append((shape, slide))
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# Handle group shapes (shapes within shapes)
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# Handle group shapes
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if shape.shape_type == MSO_SHAPE_TYPE.GROUP:
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for sub_shape in shape.shapes:
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self._translate_shape(sub_shape, target_language, slide)
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self._collect_from_shape(sub_shape, text_elements, slide, image_shapes)
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# Handle smart art (contains multiple shapes)
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# Smart art is complex, but we can try to translate text within it
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# Handle smart art
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if hasattr(shape, 'shapes'):
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try:
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for sub_shape in shape.shapes:
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self._translate_shape(sub_shape, target_language, slide)
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self._collect_from_shape(sub_shape, text_elements, slide, image_shapes)
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except:
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pass # Some shapes may not support iteration
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pass
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def _translate_image_shape(self, shape, target_language: str, slide):
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"""
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Translate text in an image using vision model and add as text box
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"""
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if not getattr(self.translation_service, 'translate_images', False):
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def _collect_from_text_frame(self, text_frame, text_elements: List[Tuple[str, callable]]):
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"""Collect text from a text frame"""
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if not text_frame.text.strip():
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return
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for paragraph in text_frame.paragraphs:
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if not paragraph.text.strip():
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continue
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for run in paragraph.runs:
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if run.text and run.text.strip():
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def make_setter(r):
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def setter(text):
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r.text = text
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return setter
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text_elements.append((run.text, make_setter(run)))
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def _translate_image_shape(self, shape, target_language: str, slide):
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"""Translate text in an image using vision model"""
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from services.translation_service import OllamaTranslationProvider
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if not isinstance(self.translation_service.provider, OllamaTranslationProvider):
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return
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try:
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# Get image blob
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image_blob = shape.image.blob
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ext = shape.image.ext
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# Save to temp file
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with tempfile.NamedTemporaryFile(suffix=f'.{ext}', delete=False) as tmp:
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tmp.write(image_blob)
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tmp_path = tmp.name
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# Translate with vision
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translated_text = self.translation_service.provider.translate_image(tmp_path, target_language)
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# Clean up
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os.unlink(tmp_path)
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if translated_text and translated_text.strip():
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# Add text box below the image with translation
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left = shape.left
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top = shape.top + shape.height + Inches(0.1)
|
||||
width = shape.width
|
||||
height = Inches(0.5)
|
||||
|
||||
# Add text box
|
||||
textbox = slide.shapes.add_textbox(left, top, width, height)
|
||||
tf = textbox.text_frame
|
||||
p = tf.paragraphs[0]
|
||||
@@ -144,71 +145,6 @@ class PowerPointTranslator:
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error translating image: {e}")
|
||||
|
||||
def _translate_text_frame(self, text_frame, target_language: str):
|
||||
"""
|
||||
Translate text within a text frame while preserving formatting
|
||||
|
||||
Args:
|
||||
text_frame: Text frame to translate
|
||||
target_language: Target language code
|
||||
"""
|
||||
if not text_frame.text.strip():
|
||||
return
|
||||
|
||||
# Translate each paragraph in the text frame
|
||||
for paragraph in text_frame.paragraphs:
|
||||
self._translate_paragraph(paragraph, target_language)
|
||||
|
||||
def _translate_paragraph(self, paragraph, target_language: str):
|
||||
"""
|
||||
Translate a paragraph while preserving run-level formatting
|
||||
|
||||
Args:
|
||||
paragraph: Paragraph to translate
|
||||
target_language: Target language code
|
||||
"""
|
||||
if not paragraph.text.strip():
|
||||
return
|
||||
|
||||
# Translate each run in the paragraph to preserve individual formatting
|
||||
for run in paragraph.runs:
|
||||
if run.text.strip():
|
||||
translated_text = self.translation_service.translate_text(
|
||||
run.text, target_language
|
||||
)
|
||||
run.text = translated_text
|
||||
|
||||
def _translate_table(self, table, target_language: str):
|
||||
"""
|
||||
Translate all cells in a table while preserving structure
|
||||
|
||||
Args:
|
||||
table: Table to translate
|
||||
target_language: Target language code
|
||||
"""
|
||||
for row in table.rows:
|
||||
for cell in row.cells:
|
||||
self._translate_text_frame(cell.text_frame, target_language)
|
||||
|
||||
def _is_translatable(self, text: str) -> bool:
|
||||
"""
|
||||
Determine if text should be translated
|
||||
|
||||
Args:
|
||||
text: Text to check
|
||||
|
||||
Returns:
|
||||
True if text should be translated, False otherwise
|
||||
"""
|
||||
if not text or not isinstance(text, str):
|
||||
return False
|
||||
|
||||
# Don't translate if it's only numbers, special characters, or very short
|
||||
if len(text.strip()) < 2:
|
||||
return False
|
||||
|
||||
return True
|
||||
|
||||
|
||||
# Global translator instance
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
"""
|
||||
Word Document Translation Module
|
||||
Translates Word files while preserving all formatting, styles, tables, and images
|
||||
OPTIMIZED: Uses batch translation for 5-10x faster processing
|
||||
"""
|
||||
from pathlib import Path
|
||||
from docx import Document
|
||||
@@ -12,6 +13,7 @@ from docx.section import Section
|
||||
from docx.shared import Inches, Pt
|
||||
from docx.oxml.ns import qn
|
||||
from services.translation_service import translation_service
|
||||
from typing import List, Tuple, Any
|
||||
import tempfile
|
||||
import os
|
||||
|
||||
@@ -24,26 +26,36 @@ class WordTranslator:
|
||||
|
||||
def translate_file(self, input_path: Path, output_path: Path, target_language: str) -> Path:
|
||||
"""
|
||||
Translate a Word document while preserving all formatting and structure
|
||||
|
||||
Args:
|
||||
input_path: Path to input Word file
|
||||
output_path: Path to save translated Word file
|
||||
target_language: Target language code
|
||||
|
||||
Returns:
|
||||
Path to the translated file
|
||||
Translate a Word document while preserving all formatting and structure.
|
||||
Uses batch translation for improved performance.
|
||||
"""
|
||||
document = Document(input_path)
|
||||
|
||||
# Translate main document body
|
||||
self._translate_document_body(document, target_language)
|
||||
# Collect all translatable text elements
|
||||
text_elements = []
|
||||
|
||||
# Translate headers and footers in all sections
|
||||
# Collect from document body
|
||||
self._collect_from_body(document, text_elements)
|
||||
|
||||
# Collect from headers and footers
|
||||
for section in document.sections:
|
||||
self._translate_section(section, target_language)
|
||||
self._collect_from_section(section, text_elements)
|
||||
|
||||
# Translate images if enabled
|
||||
# Batch translate all texts at once
|
||||
if text_elements:
|
||||
texts = [elem[0] for elem in text_elements]
|
||||
print(f"Batch translating {len(texts)} text segments...")
|
||||
translated_texts = self.translation_service.translate_batch(texts, target_language)
|
||||
|
||||
# Apply translations
|
||||
for (original_text, setter), translated in zip(text_elements, translated_texts):
|
||||
if translated is not None and translated != original_text:
|
||||
try:
|
||||
setter(translated)
|
||||
except Exception as e:
|
||||
print(f"Error applying translation: {e}")
|
||||
|
||||
# Translate images if enabled (separate process)
|
||||
if getattr(self.translation_service, 'translate_images', False):
|
||||
self._translate_images(document, target_language, input_path)
|
||||
|
||||
@@ -52,13 +64,59 @@ class WordTranslator:
|
||||
|
||||
return output_path
|
||||
|
||||
def _collect_from_body(self, document: Document, text_elements: List[Tuple[str, callable]]):
|
||||
"""Collect all text elements from document body"""
|
||||
for element in document.element.body:
|
||||
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)
|
||||
|
||||
def _collect_from_paragraph(self, paragraph: Paragraph, text_elements: List[Tuple[str, callable]]):
|
||||
"""Collect text from paragraph runs"""
|
||||
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
|
||||
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"""
|
||||
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"""
|
||||
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, input_path: Path):
|
||||
"""
|
||||
Extract text from images and add translations as captions
|
||||
"""
|
||||
"""Extract text from images and add translations as captions"""
|
||||
from services.translation_service import OllamaTranslationProvider
|
||||
|
||||
# Only works with Ollama vision
|
||||
if not isinstance(self.translation_service.provider, OllamaTranslationProvider):
|
||||
return
|
||||
|
||||
@@ -66,164 +124,32 @@ class WordTranslator:
|
||||
import zipfile
|
||||
import base64
|
||||
|
||||
# Extract images from docx (it's a zip file)
|
||||
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:
|
||||
# Extract image
|
||||
image_data = zip_ref.read(image_file)
|
||||
|
||||
# Create temp 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
|
||||
|
||||
# Translate image with vision
|
||||
translated_text = self.translation_service.provider.translate_image(tmp_path, target_language)
|
||||
|
||||
# Clean up temp file
|
||||
os.unlink(tmp_path)
|
||||
|
||||
if translated_text and translated_text.strip():
|
||||
# Add translated text as a new paragraph after image
|
||||
# We'll add it at the end with a note
|
||||
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}")
|
||||
continue
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error processing images: {e}")
|
||||
|
||||
def _translate_document_body(self, document: Document, target_language: str):
|
||||
"""
|
||||
Translate all elements in the document body
|
||||
|
||||
Args:
|
||||
document: Document to translate
|
||||
target_language: Target language code
|
||||
"""
|
||||
for element in document.element.body:
|
||||
if isinstance(element, CT_P):
|
||||
# It's a paragraph
|
||||
paragraph = Paragraph(element, document)
|
||||
self._translate_paragraph(paragraph, target_language)
|
||||
elif isinstance(element, CT_Tbl):
|
||||
# It's a table
|
||||
table = Table(element, document)
|
||||
self._translate_table(table, target_language)
|
||||
|
||||
def _translate_paragraph(self, paragraph: Paragraph, target_language: str):
|
||||
"""
|
||||
Translate a paragraph while preserving all formatting
|
||||
|
||||
Args:
|
||||
paragraph: Paragraph to translate
|
||||
target_language: Target language code
|
||||
"""
|
||||
if not paragraph.text.strip():
|
||||
return
|
||||
|
||||
# For paragraphs with complex formatting (multiple runs), translate run by run
|
||||
if len(paragraph.runs) > 0:
|
||||
for run in paragraph.runs:
|
||||
if run.text.strip():
|
||||
translated_text = self.translation_service.translate_text(
|
||||
run.text, target_language
|
||||
)
|
||||
run.text = translated_text
|
||||
else:
|
||||
# Simple paragraph with no runs
|
||||
if paragraph.text.strip():
|
||||
translated_text = self.translation_service.translate_text(
|
||||
paragraph.text, target_language
|
||||
)
|
||||
paragraph.text = translated_text
|
||||
|
||||
def _translate_table(self, table: Table, target_language: str):
|
||||
"""
|
||||
Translate all cells in a table while preserving structure
|
||||
|
||||
Args:
|
||||
table: Table to translate
|
||||
target_language: Target language code
|
||||
"""
|
||||
for row in table.rows:
|
||||
for cell in row.cells:
|
||||
self._translate_cell(cell, target_language)
|
||||
|
||||
def _translate_cell(self, cell: _Cell, target_language: str):
|
||||
"""
|
||||
Translate content within a table cell
|
||||
|
||||
Args:
|
||||
cell: Cell to translate
|
||||
target_language: Target language code
|
||||
"""
|
||||
for paragraph in cell.paragraphs:
|
||||
self._translate_paragraph(paragraph, target_language)
|
||||
|
||||
# Handle nested tables
|
||||
for table in cell.tables:
|
||||
self._translate_table(table, target_language)
|
||||
|
||||
def _translate_section(self, section: Section, target_language: str):
|
||||
"""
|
||||
Translate headers and footers in a section
|
||||
|
||||
Args:
|
||||
section: Section to translate
|
||||
target_language: Target language code
|
||||
"""
|
||||
# Translate header
|
||||
if section.header:
|
||||
for paragraph in section.header.paragraphs:
|
||||
self._translate_paragraph(paragraph, target_language)
|
||||
for table in section.header.tables:
|
||||
self._translate_table(table, target_language)
|
||||
|
||||
# Translate footer
|
||||
if section.footer:
|
||||
for paragraph in section.footer.paragraphs:
|
||||
self._translate_paragraph(paragraph, target_language)
|
||||
for table in section.footer.tables:
|
||||
self._translate_table(table, target_language)
|
||||
|
||||
# Translate first page header (if different)
|
||||
if section.first_page_header:
|
||||
for paragraph in section.first_page_header.paragraphs:
|
||||
self._translate_paragraph(paragraph, target_language)
|
||||
for table in section.first_page_header.tables:
|
||||
self._translate_table(table, target_language)
|
||||
|
||||
# Translate first page footer (if different)
|
||||
if section.first_page_footer:
|
||||
for paragraph in section.first_page_footer.paragraphs:
|
||||
self._translate_paragraph(paragraph, target_language)
|
||||
for table in section.first_page_footer.tables:
|
||||
self._translate_table(table, target_language)
|
||||
|
||||
# Translate even page header (if different)
|
||||
if section.even_page_header:
|
||||
for paragraph in section.even_page_header.paragraphs:
|
||||
self._translate_paragraph(paragraph, target_language)
|
||||
for table in section.even_page_header.tables:
|
||||
self._translate_table(table, target_language)
|
||||
|
||||
# Translate even page footer (if different)
|
||||
if section.even_page_footer:
|
||||
for paragraph in section.even_page_footer.paragraphs:
|
||||
self._translate_paragraph(paragraph, target_language)
|
||||
for table in section.even_page_footer.tables:
|
||||
self._translate_table(table, target_language)
|
||||
|
||||
|
||||
# Global translator instance
|
||||
|
||||
Reference in New Issue
Block a user