fix: resolve linting issues in token efficiency implementation

- Fix ambiguous variable names (l → layer)
- Remove unused imports and variables
- Organize import statements

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

src/brain/cache.py

@@ -13,8 +13,8 @@ import hashlib
 import json
 import logging
 import time
-from dataclasses import dataclass, field
-from typing import Any, TYPE_CHECKING
+from dataclasses import dataclass
+from typing import TYPE_CHECKING, Any
 
 if TYPE_CHECKING:
     from src.brain.gemini_client import TradeDecision
@@ -26,7 +26,7 @@ logger = logging.getLogger(__name__)
 class CacheEntry:
     """Cached decision with metadata."""
 
-    decision: "TradeDecision"
+    decision: TradeDecision
     cached_at: float  # Unix timestamp
     hit_count: int = 0
     market_data_hash: str = ""

src/brain/context_selector.py

@@ -191,7 +191,7 @@ class ContextSelector:
         selected_layers = [layer for layer, score in scores.items() if score >= min_score]
 
         # Sort by score (descending)
-        selected_layers.sort(key=lambda l: scores[l], reverse=True)
+        selected_layers.sort(key=lambda layer: scores[layer], reverse=True)
 
         total_score = sum(scores[layer] for layer in selected_layers)
 

src/brain/gemini_client.py

@@ -19,9 +19,9 @@ from typing import Any
 
 from google import genai
 
-from src.config import Settings
 from src.brain.cache import DecisionCache
 from src.brain.prompt_optimizer import PromptOptimizer
+from src.config import Settings
 
 logger = logging.getLogger(__name__)
 

src/brain/prompt_optimizer.py

@@ -14,7 +14,6 @@ import re
 from dataclasses import dataclass
 from typing import Any
 
-
 # Abbreviation mapping for common terms
 ABBREVIATIONS = {
     "price": "P",

src/context/summarizer.py

@@ -176,9 +176,6 @@ class ContextSummarizer:
         Returns:
             Dictionary with recent (detailed) and historical (summary) data
         """
-        now = datetime.now(UTC)
-        cutoff = now - timedelta(days=window_days)
-
         result: dict[str, Any] = {
             "window_days": window_days,
             "recent_data": {},

src/evolution/optimizer.py

@@ -23,7 +23,7 @@ from google import genai
 
 from src.config import Settings
 from src.db import init_db
-from src.logging.decision_logger import DecisionLog, DecisionLogger
+from src.logging.decision_logger import DecisionLogger
 
 logger = logging.getLogger(__name__)
 

src/main.py

@@ -21,7 +21,7 @@ from src.broker.overseas import OverseasBroker
 from src.config import Settings
 from src.context.layer import ContextLayer
 from src.context.store import ContextStore
-from src.core.criticality import CriticalityAssessor, CriticalityLevel
+from src.core.criticality import CriticalityAssessor
 from src.core.priority_queue import PriorityTaskQueue
 from src.core.risk_manager import CircuitBreakerTripped, RiskManager
 from src.db import init_db, log_trade

tests/test_evolution.py

@@ -11,15 +11,15 @@ from __future__ import annotations
 import json
 import sqlite3
 import tempfile
-from datetime import UTC, datetime, timedelta
+from datetime import UTC, datetime
 from pathlib import Path
-from unittest.mock import AsyncMock, MagicMock, Mock, patch
+from unittest.mock import AsyncMock, Mock, patch
 
 import pytest
 
 from src.config import Settings
 from src.db import init_db, log_trade
-from src.evolution.ab_test import ABTester, ABTestResult, StrategyPerformance
+from src.evolution.ab_test import ABTester
 from src.evolution.optimizer import EvolutionOptimizer
 from src.evolution.performance_tracker import (
     PerformanceDashboard,
@@ -28,7 +28,6 @@ from src.evolution.performance_tracker import (
 )
 from src.logging.decision_logger import DecisionLogger
 
-
 # ------------------------------------------------------------------
 # Fixtures
 # ------------------------------------------------------------------

tests/test_token_efficiency.py

@@ -12,11 +12,10 @@ from __future__ import annotations
 
 import sqlite3
 import time
-from datetime import UTC, datetime, timedelta
 
 import pytest
 
-from src.brain.cache import CacheMetrics, DecisionCache
+from src.brain.cache import DecisionCache
 from src.brain.context_selector import ContextSelector, DecisionType
 from src.brain.gemini_client import TradeDecision
 from src.brain.prompt_optimizer import PromptOptimizer, TokenMetrics
@@ -24,7 +23,6 @@ from src.context.layer import ContextLayer
 from src.context.store import ContextStore
 from src.context.summarizer import ContextSummarizer, SummaryStats
 
-
 # ============================================================================
 # Prompt Optimizer Tests
 # ============================================================================
@@ -294,7 +292,7 @@ class TestContextSelector:
         # Should only select high-relevance layers
         assert len(selection.layers) >= 1
         assert ContextLayer.L7_REALTIME in selection.layers
-        assert all(selection.relevance_scores[l] >= 0.5 for l in selection.layers)
+        assert all(selection.relevance_scores[layer] >= 0.5 for layer in selection.layers)
 
     def test_get_context_data(self, store):
         """Test context data retrieval."""