Fix linting issues: line length, import sorting, unused variables

- Set ruff/black line length to 120
- Reformatted code with black
- Fixed import ordering with ruff
- Disabled lint for UI component files with long CSS strings
- Updated pyproject.toml with proper tool configuration

tests/test_strategies.py

@@ -4,7 +4,7 @@ import pytest
 
 import app.core.pricing.black_scholes as black_scholes
 from app.strategies.base import StrategyConfig
-from app.strategies.laddered_put import LadderSpec, LadderedPutStrategy
+from app.strategies.laddered_put import LadderedPutStrategy, LadderSpec
 from app.strategies.protective_put import ProtectivePutSpec, ProtectivePutStrategy
 
 
@@ -18,7 +18,10 @@ def test_protective_put_costs(
     sample_strategy_config: StrategyConfig,
 ) -> None:
     _force_analytic_pricing(monkeypatch)
-    strategy = ProtectivePutStrategy(sample_strategy_config, ProtectivePutSpec(label="ATM", strike_pct=1.0, months=12))
+    strategy = ProtectivePutStrategy(
+        sample_strategy_config,
+        ProtectivePutSpec(label="ATM", strike_pct=1.0, months=12),
+    )
     cost = strategy.calculate_cost()
 
     assert cost["strategy"] == "protective_put_atm"
@@ -35,7 +38,12 @@ def test_laddered_strategy(sample_strategy_config: StrategyConfig, monkeypatch:
     _force_analytic_pricing(monkeypatch)
     strategy = LadderedPutStrategy(
         sample_strategy_config,
-        LadderSpec(label="50_50_ATM_OTM95", weights=(0.5, 0.5), strike_pcts=(1.0, 0.95), months=12),
+        LadderSpec(
+            label="50_50_ATM_OTM95",
+            weights=(0.5, 0.5),
+            strike_pcts=(1.0, 0.95),
+            months=12,
+        ),
     )
     cost = strategy.calculate_cost()
     protection = strategy.calculate_protection()
@@ -65,7 +73,12 @@ def test_scenario_analysis(
     )
     ladder = LadderedPutStrategy(
         sample_strategy_config,
-        LadderSpec(label="50_50_ATM_OTM95", weights=(0.5, 0.5), strike_pcts=(1.0, 0.95), months=12),
+        LadderSpec(
+            label="50_50_ATM_OTM95",
+            weights=(0.5, 0.5),
+            strike_pcts=(1.0, 0.95),
+            months=12,
+        ),
     )
 
     protective_scenarios = protective.get_scenarios()