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.

templates/Dashboard.html

@@ -87,8 +87,16 @@
         { key: "min", label: "Min" },
         { key: "max", label: "Max" },
         { key: "std_dev", label: "Std Dev" },
+        { key: "variance", label: "Variance" },
+        { key: "percentile_5", label: "5th Percentile" },
         { key: "percentile_10", label: "10th Percentile" },
         { key: "percentile_90", label: "90th Percentile" },
+        { key: "percentile_95", label: "95th Percentile" },
+        { key: "value_at_risk_95", label: "VaR (95%)" },
+        {
+          key: "expected_shortfall_95",
+          label: "Expected Shortfall (95%)",
+        },
       ];
 
       async function fetchSummary(results) {
@@ -123,12 +131,16 @@
         const grid = document.getElementById("summary-grid");
         grid.innerHTML = "";
         SUMMARY_FIELDS.forEach(({ key, label }) => {
-          const value = summary[key] ?? 0;
+          const rawValue = summary[key];
+          const numericValue = Number(rawValue);
+          const display = Number.isFinite(numericValue)
+            ? numericValue.toFixed(2)
+            : "—";
           const metric = document.createElement("div");
           metric.className = "metric";
           metric.innerHTML = `
                     <div class="metric-label">${label}</div>
-                    <div class="metric-value">${value.toFixed(2)}</div>
+                    <div class="metric-value">${display}</div>
                 `;
           grid.appendChild(metric);
         });
@@ -138,14 +150,34 @@
 
       function renderChart(summary) {
         const ctx = document.getElementById("summary-chart").getContext("2d");
-        const dataPoints = [
-          summary.min,
-          summary.percentile_10,
-          summary.median,
-          summary.mean,
-          summary.percentile_90,
-          summary.max,
-        ].map((value) => Number(value ?? 0));
+        const percentilePoints = [
+          { label: "Min", value: summary.min },
+          { label: "P5", value: summary.percentile_5 },
+          { label: "P10", value: summary.percentile_10 },
+          { label: "Median", value: summary.median },
+          { label: "Mean", value: summary.mean },
+          { label: "P90", value: summary.percentile_90 },
+          { label: "P95", value: summary.percentile_95 },
+          { label: "Max", value: summary.max },
+        ];
+
+        const labels = percentilePoints.map((point) => point.label);
+        const dataPoints = percentilePoints.map((point) =>
+          Number(point.value ?? 0)
+        );
+
+        const tailRiskLines = [
+          { label: "VaR (95%)", value: summary.value_at_risk_95 },
+          { label: "ES (95%)", value: summary.expected_shortfall_95 },
+        ]
+          .map(({ label, value }) => {
+            const numeric = Number(value);
+            if (!Number.isFinite(numeric)) {
+              return null;
+            }
+            return `${label}: ${numeric.toFixed(2)}`;
+          })
+          .filter((line) => line !== null);
 
         if (chartInstance) {
           chartInstance.destroy();
@@ -154,7 +186,7 @@
         chartInstance = new Chart(ctx, {
           type: "line",
           data: {
-            labels: ["Min", "P10", "Median", "Mean", "P90", "Max"],
+            labels,
             datasets: [
               {
                 label: "Result Summary",
@@ -169,6 +201,11 @@
           options: {
             plugins: {
               legend: { display: false },
+              tooltip: {
+                callbacks: {
+                  afterBody: () => tailRiskLines,
+                },
+              },
             },
             scales: {
               y: {