feat: Enhance dashboard metrics and summary statistics

- Added new summary fields: variance, 5th percentile, 95th percentile, VaR (95%), and expected shortfall (95%) to the dashboard.
- Updated the display logic for summary metrics to handle non-finite values gracefully.
- Modified the chart rendering to include additional percentile points and tail risk metrics in tooltips.

test: Introduce unit tests for consumption, costs, and other modules

- Created a comprehensive test suite for consumption, costs, equipment, maintenance, production, reporting, and simulation modules.
- Implemented fixtures for database setup and teardown using an in-memory SQLite database for isolated testing.
- Added tests for creating, listing, and validating various entities, ensuring proper error handling and response validation.

refactor: Consolidate parameter tests and remove deprecated files

- Merged parameter-related tests into a new test file for better organization and clarity.
- Removed the old parameter test file that was no longer in use.
- Improved test coverage for parameter creation, listing, and validation scenarios.

fix: Ensure proper validation and error handling in API endpoints

- Added validation to reject negative amounts in consumption and production records.
- Implemented checks to prevent duplicate scenario creation and ensure proper error messages are returned.
- Enhanced reporting endpoint tests to validate input formats and expected outputs.

routes/reporting.py

@@ -1,4 +1,4 @@
-from typing import Any, Dict, List
+from typing import Any, Dict, List, cast
 
 from fastapi import APIRouter, HTTPException, Request, status
 from pydantic import BaseModel
@@ -25,14 +25,16 @@ def _validate_payload(payload: Any) -> List[Dict[str, float]]:
             detail="Invalid input format",
         )
 
+    typed_payload = cast(List[Any], payload)
+
     validated: List[Dict[str, float]] = []
-    for index, item in enumerate(payload):
+    for index, item in enumerate(typed_payload):
         if not isinstance(item, dict):
             raise HTTPException(
                 status_code=status.HTTP_400_BAD_REQUEST,
                 detail=f"Entry at index {index} must be an object",
             )
-        value = item.get("result")
+        value = cast(Dict[str, Any], item).get("result")
         if not isinstance(value, (int, float)):
             raise HTTPException(
                 status_code=status.HTTP_400_BAD_REQUEST,
@@ -49,8 +51,13 @@ class ReportSummary(BaseModel):
     min: float
     max: float
     std_dev: float
+    variance: float
     percentile_10: float
     percentile_90: float
+    percentile_5: float
+    percentile_95: float
+    value_at_risk_95: float
+    expected_shortfall_95: float
 
 
 @router.post("/summary", response_model=ReportSummary)
@@ -65,6 +72,11 @@ async def summary_report(request: Request):
         min=float(summary["min"]),
         max=float(summary["max"]),
         std_dev=float(summary["std_dev"]),
+        variance=float(summary["variance"]),
         percentile_10=float(summary["percentile_10"]),
         percentile_90=float(summary["percentile_90"]),
+        percentile_5=float(summary["percentile_5"]),
+        percentile_95=float(summary["percentile_95"]),
+        value_at_risk_95=float(summary["value_at_risk_95"]),
+        expected_shortfall_95=float(summary["expected_shortfall_95"]),
     )