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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@@ -3,10 +3,12 @@ Translation Service Abstraction
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Provides a unified interface for different translation providers
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"""
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from abc import ABC, abstractmethod
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from typing import Optional, List
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from typing import Optional, List, Dict
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import requests
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from deep_translator import GoogleTranslator, DeeplTranslator, LibreTranslator
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from config import config
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import concurrent.futures
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import threading
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class TranslationProvider(ABC):
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@@ -16,59 +18,222 @@ class TranslationProvider(ABC):
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def translate(self, text: str, target_language: str, source_language: str = 'auto') -> str:
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"""Translate text from source to target language"""
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pass
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def translate_batch(self, texts: List[str], target_language: str, source_language: str = 'auto') -> List[str]:
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"""Translate multiple texts at once - default implementation"""
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return [self.translate(text, target_language, source_language) for text in texts]
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class GoogleTranslationProvider(TranslationProvider):
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"""Google Translate implementation"""
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"""Google Translate implementation with batch support"""
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def __init__(self):
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self._local = threading.local()
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def _get_translator(self, source_language: str, target_language: str) -> GoogleTranslator:
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"""Get or create a translator instance for the current thread"""
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key = f"{source_language}_{target_language}"
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if not hasattr(self._local, 'translators'):
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self._local.translators = {}
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if key not in self._local.translators:
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self._local.translators[key] = GoogleTranslator(source=source_language, target=target_language)
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return self._local.translators[key]
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def translate(self, text: str, target_language: str, source_language: str = 'auto') -> str:
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if not text or not text.strip():
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return text
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try:
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translator = self._get_translator(source_language, target_language)
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return translator.translate(text)
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except Exception as e:
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print(f"Translation error: {e}")
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return text
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def translate_batch(self, texts: List[str], target_language: str, source_language: str = 'auto', batch_size: int = 50) -> List[str]:
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"""
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Translate multiple texts using batch processing for speed.
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Uses deep_translator's batch capability when possible.
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"""
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if not texts:
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return []
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# Filter and track empty texts
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results = [''] * len(texts)
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non_empty_indices = []
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non_empty_texts = []
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for i, text in enumerate(texts):
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if text and text.strip():
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non_empty_indices.append(i)
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non_empty_texts.append(text)
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else:
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results[i] = text if text else ''
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if not non_empty_texts:
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return results
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try:
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translator = GoogleTranslator(source=source_language, target=target_language)
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return translator.translate(text)
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# Process in batches
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translated_texts = []
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for i in range(0, len(non_empty_texts), batch_size):
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batch = non_empty_texts[i:i + batch_size]
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try:
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# Use translate_batch if available
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if hasattr(translator, 'translate_batch'):
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batch_result = translator.translate_batch(batch)
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else:
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# Fallback: join with separator, translate, split
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separator = "\n|||SPLIT|||\n"
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combined = separator.join(batch)
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translated_combined = translator.translate(combined)
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if translated_combined:
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batch_result = translated_combined.split("|||SPLIT|||")
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# Clean up results
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batch_result = [t.strip() for t in batch_result]
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# If split didn't work correctly, fall back to individual
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if len(batch_result) != len(batch):
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batch_result = [translator.translate(t) for t in batch]
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else:
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batch_result = batch
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translated_texts.extend(batch_result)
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except Exception as e:
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print(f"Batch translation error, falling back to individual: {e}")
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for text in batch:
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try:
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translated_texts.append(translator.translate(text))
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except:
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translated_texts.append(text)
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# Map back to original positions
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for idx, translated in zip(non_empty_indices, translated_texts):
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results[idx] = translated if translated else texts[idx]
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return results
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except Exception as e:
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print(f"Translation error: {e}")
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return text
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print(f"Batch translation failed: {e}")
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# Fallback to individual translations
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for idx, text in zip(non_empty_indices, non_empty_texts):
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try:
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results[idx] = GoogleTranslator(source=source_language, target=target_language).translate(text) or text
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except:
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results[idx] = text
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return results
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class DeepLTranslationProvider(TranslationProvider):
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"""DeepL Translate implementation"""
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"""DeepL Translate implementation with batch support"""
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def __init__(self, api_key: str):
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self.api_key = api_key
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self._translator_cache = {}
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def _get_translator(self, source_language: str, target_language: str) -> DeeplTranslator:
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key = f"{source_language}_{target_language}"
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if key not in self._translator_cache:
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self._translator_cache[key] = DeeplTranslator(api_key=self.api_key, source=source_language, target=target_language)
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return self._translator_cache[key]
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def translate(self, text: str, target_language: str, source_language: str = 'auto') -> str:
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if not text or not text.strip():
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return text
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try:
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translator = DeeplTranslator(api_key=self.api_key, source=source_language, target=target_language)
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translator = self._get_translator(source_language, target_language)
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return translator.translate(text)
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except Exception as e:
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print(f"Translation error: {e}")
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return text
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def translate_batch(self, texts: List[str], target_language: str, source_language: str = 'auto') -> List[str]:
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"""Batch translate using DeepL"""
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if not texts:
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return []
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results = [''] * len(texts)
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non_empty = [(i, t) for i, t in enumerate(texts) if t and t.strip()]
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if not non_empty:
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return [t if t else '' for t in texts]
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try:
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translator = self._get_translator(source_language, target_language)
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non_empty_texts = [t for _, t in non_empty]
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if hasattr(translator, 'translate_batch'):
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translated = translator.translate_batch(non_empty_texts)
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else:
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translated = [translator.translate(t) for t in non_empty_texts]
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for (idx, _), trans in zip(non_empty, translated):
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results[idx] = trans if trans else texts[idx]
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# Fill empty positions
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for i, text in enumerate(texts):
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if not text or not text.strip():
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results[i] = text if text else ''
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return results
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except Exception as e:
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print(f"DeepL batch error: {e}")
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return [self.translate(t, target_language, source_language) for t in texts]
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class LibreTranslationProvider(TranslationProvider):
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"""LibreTranslate implementation"""
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"""LibreTranslate implementation with batch support"""
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def __init__(self, custom_url: str = "https://libretranslate.com"):
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self.custom_url = custom_url
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self._translator_cache = {}
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def _get_translator(self, source_language: str, target_language: str) -> LibreTranslator:
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key = f"{source_language}_{target_language}"
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if key not in self._translator_cache:
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self._translator_cache[key] = LibreTranslator(source=source_language, target=target_language, custom_url=self.custom_url)
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return self._translator_cache[key]
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def translate(self, text: str, target_language: str, source_language: str = 'auto') -> str:
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if not text or not text.strip():
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return text
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try:
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# LibreTranslator supports custom URL for self-hosted or public instances
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translator = LibreTranslator(source=source_language, target=target_language, custom_url=self.custom_url)
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translator = self._get_translator(source_language, target_language)
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return translator.translate(text)
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except Exception as e:
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print(f"LibreTranslate error: {e}")
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# Fail silently and return original text
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return text
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def translate_batch(self, texts: List[str], target_language: str, source_language: str = 'auto') -> List[str]:
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"""Batch translate using LibreTranslate"""
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if not texts:
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return []
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results = [''] * len(texts)
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non_empty = [(i, t) for i, t in enumerate(texts) if t and t.strip()]
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if not non_empty:
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return [t if t else '' for t in texts]
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try:
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translator = self._get_translator(source_language, target_language)
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for idx, text in non_empty:
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try:
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results[idx] = translator.translate(text) or text
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except:
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results[idx] = text
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for i, text in enumerate(texts):
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if not text or not text.strip():
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results[i] = text if text else ''
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return results
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except Exception as e:
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print(f"LibreTranslate batch error: {e}")
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return texts
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class OllamaTranslationProvider(TranslationProvider):
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@@ -90,7 +255,19 @@ class OllamaTranslationProvider(TranslationProvider):
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try:
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# Build system prompt with custom context if provided
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base_prompt = f"You are a translator. Translate the user's text to {target_language}. Return ONLY the translation, nothing else."
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base_prompt = f"""You are a professional translator. Your ONLY task is to translate text to {target_language}.
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CRITICAL RULES:
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1. Output ONLY the translated text - no explanations, no comments, no notes
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2. Preserve the exact formatting (line breaks, spacing, punctuation)
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3. Do NOT add any prefixes like "Here's the translation:" or "Translation:"
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4. Do NOT refuse to translate or ask clarifying questions
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5. If the text is already in {target_language}, return it unchanged
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6. Translate everything literally and accurately
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7. NEVER provide comments, opinions, or explanations - you are JUST a translator
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8. If you have any doubt about the translation, return the original text unchanged
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9. Do not interpret or analyze the content - simply translate word by word
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10. Your response must contain ONLY the translated text, nothing else"""
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if self.custom_system_prompt:
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system_content = f"""{base_prompt}
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@@ -213,7 +390,19 @@ class OpenAITranslationProvider(TranslationProvider):
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client = openai.OpenAI(api_key=self.api_key)
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# Build system prompt with custom context if provided
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base_prompt = f"You are a translator. Translate the user's text to {target_language}. Return ONLY the translation, nothing else."
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base_prompt = f"""You are a professional translator. Your ONLY task is to translate text to {target_language}.
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CRITICAL RULES:
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1. Output ONLY the translated text - no explanations, no comments, no notes
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2. Preserve the exact formatting (line breaks, spacing, punctuation)
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3. Do NOT add any prefixes like "Here's the translation:" or "Translation:"
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4. Do NOT refuse to translate or ask clarifying questions
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5. If the text is already in {target_language}, return it unchanged
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6. Translate everything literally and accurately
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7. NEVER provide comments, opinions, or explanations - you are JUST a translator
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8. If you have any doubt about the translation, return the original text unchanged
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9. Do not interpret or analyze the content - simply translate word by word
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10. Your response must contain ONLY the translated text, nothing else"""
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if self.custom_system_prompt:
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system_content = f"""{base_prompt}
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@@ -341,7 +530,7 @@ class TranslationService:
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def translate_batch(self, texts: list[str], target_language: str, source_language: str = 'auto') -> list[str]:
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"""
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Translate multiple text strings
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Translate multiple text strings efficiently using batch processing.
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Args:
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texts: List of texts to translate
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@@ -351,6 +540,14 @@ class TranslationService:
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Returns:
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List of translated texts
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"""
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if not texts:
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return []
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# Use provider's batch method if available
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if hasattr(self.provider, 'translate_batch'):
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return self.provider.translate_batch(texts, target_language, source_language)
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# Fallback to individual translations
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return [self.translate_text(text, target_language, source_language) for text in texts]
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