Show Gaussian probability buckets in model summary

frontend/components/dashboard/scan-terminal/__tests__/modelSummaryDashboard.test.ts

@@ -2,8 +2,10 @@ import fs from "node:fs";
 import path from "node:path";
 import {
   MODEL_SUMMARY_MODEL_COLUMNS,
+  buildModelSummaryProbabilityColumns,
   buildModelSummaryRows,
   filterModelSummaryRows,
+  formatModelSummaryProbability,
   formatModelSummaryLocalTime,
   formatModelSummaryTemp,
   hasModelSummaryForecastData,
@@ -52,6 +54,12 @@ export function runTests() {
         JMA: 30.9,
         "AROME HD": 32.1,
       },
+      distribution_full: [
+        { value: 31, model_probability: 0.16, range: "[30.5~31.5)" },
+        { value: 32, model_probability: 0.42, range: "[31.5~32.5)" },
+        { value: 33, model_probability: 0.31, range: "[32.5~33.5)" },
+      ],
+      probability_engine: "legacy",
     },
     {
       city: "madrid",
@@ -67,6 +75,10 @@ export function runTests() {
         ECMWF: 37,
         GFS: 38.2,
       },
+      distribution_preview: [
+        { value: 35, probability: 0.18 },
+        { value: 36, probability: 0.52 },
+      ],
     },
     {
       city: "amsterdam",
@@ -112,6 +124,22 @@ export function runTests() {
   assert(parisRow.models.HRRR === null, "missing models should be normalized to null");
   assert(parisRow.modelMedian === 32.1, "model median should use available model values only");
   assert(parisRow.modelSpread === 2.5, "model spread should use available model min/max only");
+  assert(parisRow.gaussianMu === 32.2, "model summary should compute Gaussian mu from probability buckets");
+  assert(parisRow.probabilityEngine === "legacy", "model summary should preserve probability engine metadata");
+  assert(parisRow.probabilityBuckets.length === 3, "model summary should keep every probability bucket");
+  assert(
+    parisRow.probabilityBucketMap["31.5-32.5°C"]?.probability === 0.42 &&
+      parisRow.topProbabilityBucketKey === "31.5-32.5°C",
+    "model summary should map probability buckets and identify the top bucket",
+  );
+  const probabilityColumns = buildModelSummaryProbabilityColumns(summaryRows);
+  assert(
+    probabilityColumns.map((column) => column.key).join("|") ===
+      "30.5-31.5°C|31.5-32.5°C|32.5-33.5°C|34.5-35.5°C|35.5-36.5°C",
+    "model summary should expose dynamic probability bucket columns sorted by temperature",
+  );
+  assert(formatModelSummaryProbability(null) === "—", "missing probability should render as an em dash");
+  assert(formatModelSummaryProbability(0.424) === "42%", "probability buckets should render as rounded percentages");
   assert(formatModelSummaryTemp(null, "°C") === "—", "missing model temperatures should render as an em dash");
   assert(formatModelSummaryTemp(32.16, "°C") === "32.2°C", "model temperatures should render to one decimal");
   assert(hasModelSummaryForecastData(summaryRows), "model summary should recognize populated forecast rows");
@@ -176,6 +204,11 @@ export function runTests() {
     modelSummarySource.includes("MODEL_SUMMARY_MODEL_COLUMNS") &&
       modelSummarySource.includes("lastGoodSummaryRowsRef") &&
       modelSummarySource.includes("hasModelSummaryForecastData") &&
+      modelSummarySource.includes("buildModelSummaryProbabilityColumns") &&
+      modelSummarySource.includes("Gaussian μ") &&
+      modelSummarySource.includes("高斯 μ") &&
+      modelSummarySource.includes("topProbabilityBucketKey") &&
+      modelSummarySource.includes("min-w-[96px]") &&
       modelSummarySource.includes("Local Time") &&
       modelSummarySource.includes("当地时间") &&
       !modelSummarySource.includes("Current High") &&