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"""
Translation service for multi-language query support.
Supports DeepL API for high-quality translations.
"""
import requests
from typing import Dict, List, Optional
from utils.cache import DictCache
class Translator:
"""Multi-language translator using DeepL API."""
DEEPL_API_URL = "https://api-free.deepl.com/v2/translate" # Free tier
# DEEPL_API_URL = "https://api.deepl.com/v2/translate" # Pro tier
# Language code mapping
LANG_CODE_MAP = {
'zh': 'ZH',
'en': 'EN',
'ru': 'RU',
'ar': 'AR',
'ja': 'JA',
'es': 'ES',
'de': 'DE',
'fr': 'FR',
'it': 'IT',
'pt': 'PT',
}
def __init__(
self,
api_key: Optional[str] = None,
use_cache: bool = True,
timeout: int = 10
):
"""
Initialize translator.
Args:
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be52af70
tangwang
first commit
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self.api_key = api_key
self.timeout = timeout
self.use_cache = use_cache
if use_cache:
self.cache = DictCache(".cache/translations.json")
else:
self.cache = None
def translate(
self,
text: str,
target_lang: str,
source_lang: Optional[str] = None
) -> Optional[str]:
"""
Translate text to target language.
Args:
text: Text to translate
target_lang: Target language code ('zh', 'en', 'ru', etc.)
source_lang: Source language code (optional, auto-detect if None)
Returns:
Translated text or None if translation fails
"""
if not text or not text.strip():
return text
# Normalize language codes
target_lang = target_lang.lower()
if source_lang:
source_lang = source_lang.lower()
# Check cache
if self.use_cache:
cache_key = f"{source_lang or 'auto'}:{target_lang}:{text}"
cached = self.cache.get(cache_key, category="translations")
if cached:
return cached
# If no API key, return mock translation (for testing)
if not self.api_key:
print(f"[Translator] No API key, returning original text (mock mode)")
return text
# Translate using DeepL
result = self._translate_deepl(text, target_lang, source_lang)
# Cache result
if result and self.use_cache:
cache_key = f"{source_lang or 'auto'}:{target_lang}:{text}"
self.cache.set(cache_key, result, category="translations")
return result
def _translate_deepl(
self,
text: str,
target_lang: str,
source_lang: Optional[str]
) -> Optional[str]:
"""Translate using DeepL API."""
# Map to DeepL language codes
target_code = self.LANG_CODE_MAP.get(target_lang, target_lang.upper())
headers = {
"Authorization": f"DeepL-Auth-Key {self.api_key}",
"Content-Type": "application/json",
}
payload = {
"text": [text],
"target_lang": target_code,
}
if source_lang:
source_code = self.LANG_CODE_MAP.get(source_lang, source_lang.upper())
payload["source_lang"] = source_code
try:
response = requests.post(
self.DEEPL_API_URL,
headers=headers,
json=payload,
timeout=self.timeout
)
if response.status_code == 200:
data = response.json()
if "translations" in data and len(data["translations"]) > 0:
return data["translations"][0]["text"]
else:
print(f"[Translator] DeepL API error: {response.status_code} - {response.text}")
return None
except requests.Timeout:
print(f"[Translator] Translation request timed out")
return None
except Exception as e:
print(f"[Translator] Translation failed: {e}")
return None
def translate_multi(
self,
text: str,
target_langs: List[str],
source_lang: Optional[str] = None
) -> Dict[str, Optional[str]]:
"""
Translate text to multiple target languages.
Args:
text: Text to translate
target_langs: List of target language codes
source_lang: Source language code (optional)
Returns:
Dictionary mapping language code to translated text
"""
results = {}
for lang in target_langs:
results[lang] = self.translate(text, lang, source_lang)
return results
def get_translation_needs(
self,
detected_lang: str,
supported_langs: List[str]
) -> List[str]:
"""
Determine which languages need translation.
Args:
detected_lang: Detected query language
supported_langs: List of supported languages
Returns:
List of language codes to translate to
"""
# If detected language is in supported list, translate to others
if detected_lang in supported_langs:
return [lang for lang in supported_langs if lang != detected_lang]
# Otherwise, translate to all supported languages
return supported_langs
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