fix: resolve linting and formatting issues for CI

- Use contextlib.suppress instead of try/except/pass (SIM105)
- Prefix unused fixture arguments with underscore (ARG002)
- Replace asyncio.TimeoutError with TimeoutError (UP041)
- Apply ruff formatting to all files

🤖 Generated with [Claude Code](https://claude.com/claude-code)

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

src/polymarket_insider_tracker/detector/models.py

@@ -265,14 +265,10 @@ class RiskAssessment:
             "has_fresh_wallet_signal": self.fresh_wallet_signal is not None,
             "has_size_anomaly_signal": self.size_anomaly_signal is not None,
             "fresh_wallet_confidence": (
-                self.fresh_wallet_signal.confidence
-                if self.fresh_wallet_signal
-                else None
+                self.fresh_wallet_signal.confidence if self.fresh_wallet_signal else None
             ),
             "size_anomaly_confidence": (
-                self.size_anomaly_signal.confidence
-                if self.size_anomaly_signal
-                else None
+                self.size_anomaly_signal.confidence if self.size_anomaly_signal else None
             ),
             "timestamp": self.timestamp.isoformat(),
         }

src/polymarket_insider_tracker/detector/scorer.py

@@ -155,8 +155,7 @@ class RiskScorer:
         # Log assessment
         if should_alert:
             logger.info(
-                "Risk assessment triggered alert: wallet=%s, market=%s, "
-                "score=%.2f, signals=%d",
+                "Risk assessment triggered alert: wallet=%s, market=%s, score=%.2f, signals=%d",
                 bundle.wallet_address[:10] + "...",
                 bundle.market_id[:10] + "...",
                 weighted_score,
@@ -180,9 +179,7 @@ class RiskScorer:
             should_alert=should_alert,
         )
 
-    def calculate_weighted_score(
-        self, bundle: SignalBundle
-    ) -> tuple[float, int]:
+    def calculate_weighted_score(self, bundle: SignalBundle) -> tuple[float, int]:
         """Calculate weighted score from all signals.
 
         Applies per-signal weights and multi-signal bonuses.
@@ -273,9 +270,7 @@ class RiskScorer:
         deleted = await self._redis.delete(key)
         return deleted > 0
 
-    async def assess_batch(
-        self, bundles: list[SignalBundle]
-    ) -> list[RiskAssessment]:
+    async def assess_batch(self, bundles: list[SignalBundle]) -> list[RiskAssessment]:
         """Assess multiple trade bundles.
 
         Args:

src/polymarket_insider_tracker/detector/sniper.py

@@ -228,10 +228,17 @@ class SniperDetector:
             for entry in entries:
                 # Normalize market ID to 0-1 range
                 market_hash = (
-                    int(hashlib.md5(  # noqa: S324
-                        entry.market_id.encode()
-                    ).hexdigest()[:8], 16) % 1000
-                ) / 1000.0
+                    (
+                        int(
+                            hashlib.md5(  # noqa: S324
+                                entry.market_id.encode()
+                            ).hexdigest()[:8],
+                            16,
+                        )
+                        % 1000
+                    )
+                    / 1000.0
+                )
 
                 # Normalize entry delta to hours (0-5 mins = 0-0.083 hours)
                 delta_hours = entry.entry_delta_seconds / 3600.0
@@ -415,11 +422,7 @@ class SniperDetector:
         overlap_factor = min(1.0, markets_common / 5.0)
 
         # Weighted combination
-        confidence = (
-            0.3 * size_factor +
-            0.4 * speed_factor +
-            0.3 * overlap_factor
-        )
+        confidence = 0.3 * size_factor + 0.4 * speed_factor + 0.3 * overlap_factor
 
         return round(min(1.0, confidence), 3)