feat: add translation billing stats and remove Export/Settings pages
- Add TranslationLog model to track translation API usage per task - Integrate Dify API actual price (total_price) into translation stats - Display translation statistics in admin dashboard with per-task costs - Remove unused Export and Settings pages to simplify frontend - Add GET /api/v2/admin/translation-stats endpoint 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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@@ -13,6 +13,7 @@ from app.models.user import User
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from app.models.task import Task, TaskStatus
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from app.models.session import Session as UserSession
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from app.models.audit_log import AuditLog
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from app.models.translation_log import TranslationLog
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from app.core.config import settings
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logger = logging.getLogger(__name__)
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@@ -209,6 +210,87 @@ class AdminService:
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return top_users
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def get_translation_statistics(self, db: Session) -> dict:
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"""
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Get translation usage statistics for admin dashboard.
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Args:
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db: Database session
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Returns:
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Dictionary with translation stats including total tokens, costs, and breakdowns
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"""
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# Total translation count
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total_translations = db.query(TranslationLog).count()
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# Sum of tokens
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token_stats = db.query(
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func.sum(TranslationLog.total_tokens).label("total_tokens"),
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func.sum(TranslationLog.input_tokens).label("total_input_tokens"),
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func.sum(TranslationLog.output_tokens).label("total_output_tokens"),
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func.sum(TranslationLog.total_characters).label("total_characters"),
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func.sum(TranslationLog.estimated_cost).label("total_cost")
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).first()
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# Breakdown by target language
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by_language = db.query(
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TranslationLog.target_lang,
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func.count(TranslationLog.id).label("count"),
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func.sum(TranslationLog.total_tokens).label("tokens"),
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func.sum(TranslationLog.total_characters).label("characters")
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).group_by(TranslationLog.target_lang).all()
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language_breakdown = [
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{
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"language": lang,
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"count": count,
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"tokens": tokens or 0,
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"characters": chars or 0
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}
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for lang, count, tokens, chars in by_language
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]
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# Recent translations (last 20)
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recent = db.query(TranslationLog).order_by(
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TranslationLog.created_at.desc()
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).limit(20).all()
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recent_translations = [
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{
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"id": log.id,
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"task_id": log.task_id,
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"target_lang": log.target_lang,
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"total_tokens": log.total_tokens,
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"total_characters": log.total_characters,
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"processing_time_seconds": log.processing_time_seconds,
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"estimated_cost": log.estimated_cost,
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"created_at": log.created_at.isoformat() if log.created_at else None
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}
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for log in recent
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]
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# Stats for last 30 days
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date_30_days_ago = datetime.utcnow() - timedelta(days=30)
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recent_stats = db.query(
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func.count(TranslationLog.id).label("count"),
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func.sum(TranslationLog.total_tokens).label("tokens")
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).filter(TranslationLog.created_at >= date_30_days_ago).first()
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return {
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"total_translations": total_translations,
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"total_tokens": token_stats.total_tokens or 0,
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"total_input_tokens": token_stats.total_input_tokens or 0,
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"total_output_tokens": token_stats.total_output_tokens or 0,
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"total_characters": token_stats.total_characters or 0,
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"estimated_cost": token_stats.total_cost or 0.0,
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"by_language": language_breakdown,
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"recent_translations": recent_translations,
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"last_30_days": {
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"count": recent_stats.count or 0,
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"tokens": recent_stats.tokens or 0
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}
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}
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# Singleton instance
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admin_service = AdminService()
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@@ -40,6 +40,8 @@ class TranslationResponse:
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total_tokens: int
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latency: float
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conversation_id: str
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total_price: float = 0.0
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currency: str = "USD"
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@dataclass
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@@ -50,6 +52,8 @@ class BatchTranslationResponse:
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latency: float
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conversation_id: str
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missing_markers: List[int] = field(default_factory=list)
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total_price: float = 0.0
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currency: str = "USD"
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class DifyTranslationError(Exception):
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@@ -252,6 +256,11 @@ class DifyClient:
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translated_text = data.get("answer", "")
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usage = data.get("metadata", {}).get("usage", {})
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# Extract price info from usage or metadata (may be string or number)
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raw_price = usage.get("total_price", 0.0)
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total_price = float(raw_price) if raw_price else 0.0
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currency = usage.get("currency", "USD") or "USD"
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self._total_tokens += usage.get("total_tokens", 0)
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self._total_requests += 1
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@@ -259,7 +268,9 @@ class DifyClient:
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translated_text=translated_text,
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total_tokens=usage.get("total_tokens", 0),
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latency=usage.get("latency", 0.0),
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conversation_id=data.get("conversation_id", "")
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conversation_id=data.get("conversation_id", ""),
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total_price=total_price,
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currency=currency
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)
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def translate_batch(
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@@ -297,6 +308,11 @@ class DifyClient:
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answer = data.get("answer", "")
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usage = data.get("metadata", {}).get("usage", {})
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# Extract price info from usage or metadata (may be string or number)
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raw_price = usage.get("total_price", 0.0)
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total_price = float(raw_price) if raw_price else 0.0
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currency = usage.get("currency", "USD") or "USD"
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translations = self._parse_batch_response(answer, len(texts))
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# Check for missing markers
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@@ -314,7 +330,9 @@ class DifyClient:
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total_tokens=usage.get("total_tokens", 0),
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latency=usage.get("latency", 0.0),
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conversation_id=data.get("conversation_id", ""),
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missing_markers=missing_markers
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missing_markers=missing_markers,
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total_price=total_price,
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currency=currency
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)
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def get_stats(self) -> dict:
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@@ -232,6 +232,8 @@ class TranslationService:
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self._jobs_lock = threading.Lock()
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self._total_tokens = 0
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self._total_latency = 0.0
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self._total_price = 0.0
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self._currency = "USD"
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def _load_raw_ocr_regions(
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self,
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@@ -459,6 +461,9 @@ class TranslationService:
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self._total_tokens += response.total_tokens
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self._total_latency += response.latency
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self._total_price += response.total_price
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if response.currency:
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self._currency = response.currency
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# Map translations back to items
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translated_items = []
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@@ -524,6 +529,9 @@ class TranslationService:
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self._total_tokens += response.total_tokens
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self._total_latency += response.latency
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self._total_price += response.total_price
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if response.currency:
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self._currency = response.currency
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return TranslatedItem(
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element_id=item.element_id,
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@@ -555,7 +563,9 @@ class TranslationService:
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total_elements: int,
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processing_time: float,
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batch_count: int,
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processing_track: str = 'direct'
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processing_track: str = 'direct',
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total_price: float = 0.0,
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currency: str = 'USD'
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) -> Dict:
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"""
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Build the translation result JSON structure.
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@@ -613,6 +623,8 @@ class TranslationService:
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'total_characters': total_chars,
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'processing_time_seconds': round(processing_time, 2),
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'total_tokens': self._total_tokens,
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'total_price': round(total_price, 6),
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'currency': currency,
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'batch_count': batch_count
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},
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'translations': {}, # Empty for OCR Track
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@@ -656,6 +668,8 @@ class TranslationService:
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'total_characters': total_chars,
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'processing_time_seconds': round(processing_time, 2),
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'total_tokens': self._total_tokens,
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'total_price': round(total_price, 6),
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'currency': currency,
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'batch_count': batch_count
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},
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'translations': translations
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@@ -687,6 +701,8 @@ class TranslationService:
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start_time = time.time()
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self._total_tokens = 0
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self._total_latency = 0.0
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self._total_price = 0.0
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self._currency = "USD"
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logger.info(
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f"Starting translation: task_id={task_id}, target={target_lang}"
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@@ -752,7 +768,9 @@ class TranslationService:
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total_elements=total_elements,
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processing_time=processing_time,
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batch_count=len(batches),
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processing_track=processing_track
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processing_track=processing_track,
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total_price=self._total_price,
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currency=self._currency
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)
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# Save result
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