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/simulations.py

@@ -60,8 +60,8 @@ def _load_parameters(db: Session, scenario_id: int) -> List[SimulationParameterI
     )
     return [
         SimulationParameterInput(
-            name=cast(str, item.name),
-            value=cast(float, item.value),
+            name=item.name,
+            value=item.value,
         )
         for item in db_params
     ]
@@ -86,7 +86,7 @@ async def simulate(payload: SimulationRunRequest, db: Session = Depends(get_db))
         )
 
     raw_results = run_simulation(
-        [param.dict(exclude_none=True) for param in parameters],
+        [param.model_dump(exclude_none=True) for param in parameters],
         iterations=payload.iterations,
         seed=payload.seed,
     )