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
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@@ -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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