Automated Validation Tool for Jsthermalcomfort Package Functions

data

@@ -0,0 +1,54 @@
+{
+  "information": {
+    "summary": "This file contains a series of validation tables for a_pmv() in pythermalcomfort, jsthermalcomfort, calcaPMV() in R",
+    "version": "1.0.0",
+    "license": "MIT"
+  },
+  "tolerance": {
+    "pmv": 0.01
+  },
+  "data": [
+    {
+      "inputs": {
+        "tdb": 24,
+        "tr": 30,
+        "vr": 0.22,
+        "rh": 50,
+        "met": 1.4,
+        "clo": 0.5,
+        "a_coefficient": 0.293
+      },
+      "outputs": {
+        "a_pmv": 0.48
+      }
+    },
+    {
+      "inputs": {
+        "tdb": 30,
+        "tr": 30,
+        "vr": 0.22,
+        "rh": 50,
+        "met": 1.4,
+        "clo": 0.5,
+        "a_coefficient": 0.293
+      },
+      "outputs": {
+        "a_pmv": 1.09
+      }
+    },
+    {
+      "inputs": {
+        "tdb": [24, 30],
+        "tr": 30,
+        "vr": 0.22,
+        "rh": 50,
+        "met": 1.4,
+        "clo": 0.5,
+        "a_coefficient": 0.293
+      },
+      "outputs": {
+        "a_pmv": [0.48, 1.09]
+      }
+    }
+  ]
+}

tests/models/a_pmv.test.js

@@ -1,49 +1,32 @@
-import { expect, describe, it } from "@jest/globals";
-import { deep_close_to_array } from "../test_utilities.js";
-import { a_pmv, a_pmv_array } from "../../src/models/a_pmv.js";
+import { expect, describe, it, beforeAll } from "@jest/globals";
+import { loadTestData, shouldSkipTest } from './testUtils'; // Use the utils
+import { a_pmv } from "../../src/models/a_pmv.js";
+import { testDataUrls } from './comftest';
 
-describe("a_pmv", () => {
-  it.each([
-    {
-      tdb: 24,
-      tr: 30,
-      vr: 0.22,
-      rh: 50,
-      met: 1.4,
-      clo: 0.5,
-      a_coefficient: 0.293,
-      wme: undefined,
-      expected: 0.48,
-    },
-  ])(
-    "returns $expected when tdb is $tdb, tr is $tr, vr is $vr, rh is $rh, met is $met, clo is $clo, a_coefficient is $a_coefficient",
-    ({ tdb, tr, vr, rh, met, clo, wme, a_coefficient, expected }) => {
-      const result = a_pmv(tdb, tr, vr, rh, met, clo, a_coefficient, wme);
+let testData;
+let tolerance;
 
-      expect(result).toBeCloseTo(expected, 2);
-    },
-  );
+beforeAll(async () => {
+  const result = await loadTestData(testDataUrls.aPmv, 'pmv');
+  testData = result.testData;
+  tolerance = result.tolerance;
 });
 
-describe("a_pmv_array", () => {
-  it.each([
-    {
-      tdb: [24, 30],
-      tr: [30, 30],
-      vr: [0.22, 0.22],
-      rh: [50, 50],
-      met: [1.4, 1.4],
-      clo: [0.5, 0.5],
-      a_coefficient: [0.293, 0.293],
-      wme: undefined,
-      expected: [0.48, 1.09],
-    },
-  ])(
-    "returns $expected when tdb is $tdb, tr is $tr, vr is $vr, rh is $rh, met is $met, clo is $clo, a_coefficient is $a_coefficient",
-    ({ tdb, tr, vr, rh, met, clo, wme, a_coefficient, expected }) => {
-      const result = a_pmv_array(tdb, tr, vr, rh, met, clo, a_coefficient, wme);
+describe("a_pmv", () => {
+  it("Runs the test after data is loaded and skips data containing arrays", () => {
+    testData.data.forEach(({ inputs, expected }) => {
+      if (shouldSkipTest(inputs) || expected === undefined) {
+        return; // skip the test
+      }
+
+      const { tdb, tr, vr, rh, met, clo, a_coefficient, wme } = inputs;
+      const result = a_pmv(tdb, tr, vr, rh, met, clo, a_coefficient, wme);
 
-      deep_close_to_array(result, expected, 2);
-    },
-  );
+      if (isNaN(result) || expected === null) {
+        expect(result).toBeNaN();
+      } else {
+        expect(result).toBeCloseTo(expected, tolerance);
+      }
+    });
+  });
 });