fix(stats): Address PR review feedback and fix all typing/linting issues

## Changes Made

### High Priority Fixes (PR Review)
- Added comprehensive exception handling to all aggregator methods with graceful degradation
- Enhanced PII sanitization for trading-specific data (accounts, balances, PnL, positions)
  - Smart redaction shows last 4 chars for account IDs
  - Shows positive/negative/zero for financial values
  - Extended sensitive key list for trading context

### Medium Priority Fixes (PR Review)
- Added bounds checking to health score calculation (0-100 range enforced)
- Fixed potential division by zero errors with safe fallbacks
- Added comprehensive unit test suite covering:
  - Memory leak prevention with circular buffers
  - PII sanitization verification
  - Thread safety under concurrent access
  - Performance percentile calculations
  - Error handling and graceful degradation

### Typing and Linting Fixes
- Fixed OrderManager response type checking with isinstance()
- Fixed EnhancedStatsTrackingMixin type annotations and data_quality handling
- Fixed StatisticsAggregator ComponentStats usage (dict literals instead of constructor)
- Fixed TradingSuiteStats missing fields (total_errors, health_score)
- Fixed managed_trade.py null checking for order objects
- Fixed position_manager operations authentication method calls
- Removed unused imports and trailing whitespace

### Files Modified
- src/project_x_py/order_manager/core.py
- src/project_x_py/position_manager/operations.py
- src/project_x_py/risk_manager/managed_trade.py
- src/project_x_py/trading_suite.py
- src/project_x_py/types/stats_types.py
- src/project_x_py/utils/enhanced_stats_tracking.py
- src/project_x_py/utils/statistics_aggregator.py
- tests/test_enhanced_statistics.py (new comprehensive test suite)

All mypy type checking and ruff linting now pass with zero issues.

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

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

Author: TexasCoding

src/project_x_py/order_manager/core.py

@@ -454,6 +454,17 @@ async def place_order(
                 )
                 duration_ms = (time.time() - start_time) * 1000
 
+                # Response should be a dict for order placement
+                if not isinstance(response, dict):
+                    error = ProjectXOrderError("Invalid response format")
+                    await self.track_error(
+                        error, "place_order", {"contract_id": contract_id, "side": side}
+                    )
+                    await self.track_operation(
+                        "place_order", duration_ms, success=False
+                    )
+                    raise error
+
                 if not response.get("success", False):
                     error_msg = response.get("errorMessage", ErrorMessages.ORDER_FAILED)
                     error = ProjectXOrderError(error_msg)
@@ -465,7 +476,12 @@ async def place_order(
                     )
                     raise error
 
-                result = OrderPlaceResponse(**response)
+                result = OrderPlaceResponse(
+                    orderId=response.get("orderId", 0),
+                    success=response.get("success", False),
+                    errorCode=response.get("errorCode", ""),
+                    errorMessage=response.get("errorMessage", ""),
+                )
 
                 # Track successful operation
                 await self.track_operation(
@@ -481,7 +497,9 @@ async def place_order(
                 self.stats["total_volume"] += size
                 if size > self.stats["largest_order"]:
                     self.stats["largest_order"] = size
-                self._update_activity()
+                self._last_activity = (
+                    datetime.now()
+                )  # Update activity timestamp directly
 
                 self.logger.info(
                     LogMessages.ORDER_PLACED,
@@ -544,6 +562,10 @@ async def search_open_orders(
             "POST", "/Order/searchOpen", data=params
         )
 
+        # Response should be a dict for order search
+        if not isinstance(response, dict):
+            raise ProjectXOrderError("Invalid response format")
+
         if not response.get("success", False):
             error_msg = response.get("errorMessage", ErrorMessages.ORDER_SEARCH_FAILED)
             raise ProjectXOrderError(error_msg)
@@ -665,6 +687,10 @@ async def cancel_order(self, order_id: int, account_id: int | None = None) -> bo
                 "POST", "/Order/cancel", data=payload
             )
 
+            # Response should be a dict
+            if not isinstance(response, dict):
+                raise ProjectXOrderError("Invalid response format")
+
             success = response.get("success", False) if response else False
 
             if success:
@@ -763,6 +789,10 @@ async def modify_order(
                 "POST", "/Order/modify", data=payload
             )
 
+            # Response should be a dict
+            if not isinstance(response, dict):
+                raise ProjectXOrderError("Invalid response format")
+
             if response and response.get("success", False):
                 # Update statistics
                 async with self.order_lock:
@@ -866,7 +896,7 @@ async def get_order_statistics(self) -> OrderManagerStats:
         """
         # Get enhanced performance metrics
         perf_metrics = await self.get_performance_metrics()
-        error_stats = await self.get_error_stats()
+        # error_stats = await self.get_error_stats()  # Available if needed
 
         async with self.order_lock:
             # Use internal order tracking

src/project_x_py/position_manager/operations.py

@@ -126,7 +126,9 @@ async def close_position_direct(
             - No price control - executes at current market price
             - For partial closes, use partially_close_position()
         """
-        await self.project_x._ensure_authenticated()
+        # Ensure authenticated (using public method, not private _ensure_authenticated)
+        if not self.project_x.account_info:
+            await self.project_x.authenticate()
 
         if account_id is None:
             if not self.project_x.account_info:
@@ -250,7 +252,9 @@ async def partially_close_position(
             - Remaining position continues with same average price
             - Close size must not exceed current position size
         """
-        await self.project_x._ensure_authenticated()
+        # Ensure authenticated (using public method, not private _ensure_authenticated)
+        if not self.project_x.account_info:
+            await self.project_x.authenticate()
 
         if account_id is None:
             if not self.project_x.account_info:

src/project_x_py/risk_manager/managed_trade.py

@@ -641,7 +641,7 @@ async def order_fill_handler(event: Any) -> None:
                 event_order_id = event_data.get("order_id")
                 if not event_order_id and "order" in event_data:
                     order_obj = event_data.get("order")
-                    if hasattr(order_obj, "id"):
+                    if order_obj and hasattr(order_obj, "id"):
                         event_order_id = order_obj.id
                 if event_order_id == order.id:
                     filled_successfully = True
@@ -656,7 +656,7 @@ async def order_terminal_handler(event: Any) -> None:
                 event_order_id = event_data.get("order_id")
                 if not event_order_id and "order" in event_data:
                     order_obj = event_data.get("order")
-                    if hasattr(order_obj, "id"):
+                    if order_obj and hasattr(order_obj, "id"):
                         event_order_id = order_obj.id
                 if event_order_id == order.id:
                     filled_successfully = False

src/project_x_py/trading_suite.py

@@ -61,7 +61,7 @@
     PositionManagerConfig,
 )
 from project_x_py.types.protocols import ProjectXClientProtocol
-from project_x_py.types.stats_types import ComponentStats, TradingSuiteStats
+from project_x_py.types.stats_types import TradingSuiteStats
 from project_x_py.utils import ProjectXLogger, StatisticsAggregator
 
 logger = ProjectXLogger.get_logger(__name__)

src/project_x_py/types/stats_types.py

@@ -76,6 +76,7 @@ class ComponentStats(TypedDict):
     last_activity: str | None
     error_count: int
     memory_usage_mb: float
+    performance_metrics: NotRequired[dict[str, Any]]  # Optional performance data
 
 
 class TradingSuiteStats(TypedDict):
@@ -112,6 +113,10 @@ class TradingSuiteStats(TypedDict):
     features_enabled: list[str]
     timeframes: list[str]
 
+    # Calculated cross-component metrics
+    total_errors: NotRequired[int]  # Total error count across all components
+    health_score: NotRequired[float]  # Overall health score (0-100)
+
 
 # Component-Specific Statistics Types
 class OrderManagerStats(TypedDict):

src/project_x_py/utils/enhanced_stats_tracking.py

@@ -25,7 +25,7 @@
 import traceback
 from collections import deque
 from datetime import datetime, timedelta
-from typing import Any, Callable, Optional
+from typing import Any
 
 from project_x_py.utils.logging_config import ProjectXLogger
 
@@ -87,7 +87,7 @@ def _init_enhanced_stats(
         }
 
         # Data quality metrics
-        self._data_quality = {
+        self._data_quality: dict[str, Any] = {
             "total_data_points": 0,
             "invalid_data_points": 0,
             "missing_data_points": 0,
@@ -211,10 +211,18 @@ async def track_data_quality(
             duplicate_points: Number of duplicate points
         """
         async with self._stats_lock:
-            self._data_quality["total_data_points"] += total_points
-            self._data_quality["invalid_data_points"] += invalid_points
-            self._data_quality["missing_data_points"] += missing_points
-            self._data_quality["duplicate_data_points"] += duplicate_points
+            # Type-safe integer updates
+            current_total = int(self._data_quality.get("total_data_points", 0))
+            current_invalid = int(self._data_quality.get("invalid_data_points", 0))
+            current_missing = int(self._data_quality.get("missing_data_points", 0))
+            current_duplicate = int(self._data_quality.get("duplicate_data_points", 0))
+
+            self._data_quality["total_data_points"] = current_total + total_points
+            self._data_quality["invalid_data_points"] = current_invalid + invalid_points
+            self._data_quality["missing_data_points"] = current_missing + missing_points
+            self._data_quality["duplicate_data_points"] = (
+                current_duplicate + duplicate_points
+            )
             self._data_quality["last_validation"] = datetime.now()
 
     async def get_performance_metrics(self) -> dict[str, Any]:
@@ -316,8 +324,8 @@ async def get_data_quality_stats(self) -> dict[str, Any]:
             Dictionary with data quality metrics
         """
         async with self._stats_lock:
-            total = self._data_quality["total_data_points"]
-            invalid = self._data_quality["invalid_data_points"]
+            total = int(self._data_quality.get("total_data_points", 0))
+            invalid = int(self._data_quality.get("invalid_data_points", 0))
 
             quality_score = ((total - invalid) / total * 100) if total > 0 else 100.0
 
@@ -424,11 +432,14 @@ async def cleanup_old_stats(self) -> None:
 
             # Clean up data gaps
             if "data_gaps" in self._data_quality:
-                self._data_quality["data_gaps"] = [
-                    gap
-                    for gap in self._data_quality["data_gaps"]
-                    if gap.get("timestamp", datetime.min) >= cutoff_time
-                ]
+                gaps = self._data_quality.get("data_gaps", [])
+                if isinstance(gaps, list):
+                    self._data_quality["data_gaps"] = [
+                        gap
+                        for gap in gaps
+                        if isinstance(gap, dict)
+                        and gap.get("timestamp", datetime.min) >= cutoff_time
+                    ]
 
             logger.debug(f"Cleaned up stats older than {cutoff_time}")
 
@@ -481,7 +492,7 @@ def _calculate_memory_usage(self) -> float:
                 size += sys.getsizeof(attr)
 
                 # For collections, also count items
-                if isinstance(attr, (list, dict, set, deque)):
+                if isinstance(attr, list | dict | set | deque):
                     try:
                         for item in attr.values() if isinstance(attr, dict) else attr:
                             size += sys.getsizeof(item)
@@ -525,24 +536,81 @@ def _sanitize_for_export(self, data: Any) -> Any:
         """
         if isinstance(data, dict):
             sanitized = {}
+            # Extended list of sensitive keys for trading data
             sensitive_keys = {
                 "password",
                 "token",
                 "key",
                 "secret",
                 "auth",
                 "credential",
+                "account_id",
+                "accountid",
+                "account_name",
+                "accountname",
+                "balance",
+                "equity",
+                "pnl",
+                "profit",
+                "loss",
+                "position_size",
+                "positionsize",
+                "order_size",
+                "ordersize",
+                "api_key",
+                "apikey",
+                "session",
+                "cookie",
+                "username",
+                "email",
+                "phone",
+                "ssn",
+                "tax_id",
+                "bank",
+                "routing",
             }
 
             for key, value in data.items():
-                if any(sensitive in key.lower() for sensitive in sensitive_keys):
-                    sanitized[key] = "***REDACTED***"
+                key_lower = key.lower()
+                # Check if key contains any sensitive patterns
+                if any(sensitive in key_lower for sensitive in sensitive_keys):
+                    # Special handling for certain fields to show partial info
+                    if (
+                        "account" in key_lower
+                        and isinstance(value, str)
+                        and len(value) > 4
+                    ):
+                        # Show last 4 chars of account ID/name
+                        sanitized[key] = f"***{value[-4:]}"
+                    elif any(
+                        x in key_lower
+                        for x in ["pnl", "profit", "loss", "balance", "equity"]
+                    ):
+                        # Show if positive/negative but not actual value
+                        if isinstance(value, int | float):
+                            sanitized[key] = (
+                                "positive"
+                                if value > 0
+                                else "negative"
+                                if value < 0
+                                else "zero"
+                            )
+                        else:
+                            sanitized[key] = "***REDACTED***"
+                    else:
+                        sanitized[key] = "***REDACTED***"
                 else:
                     sanitized[key] = self._sanitize_for_export(value)
 
             return sanitized
-        elif isinstance(data, (list, tuple)):
+        elif isinstance(data, list | tuple):
             return [self._sanitize_for_export(item) for item in data]
+        elif isinstance(data, str):
+            # Check for patterns that look like sensitive data
+            if len(data) > 20 and any(c in data for c in ["=", "Bearer", "Basic"]):
+                # Might be a token or auth header
+                return "***REDACTED***"
+            return data
         else:
             return data
 
@@ -562,7 +630,7 @@ def _format_prometheus(self, stats: dict[str, Any]) -> str:
         # Performance metrics
         if "performance" in stats:
             perf = stats["performance"]
-            if "api_stats" in perf and perf["api_stats"]:
+            if perf.get("api_stats"):
                 lines.append(
                     f"# HELP {component}_api_response_time_ms API response time in milliseconds"
                 )