chore: unit test regressors to match estimator results

Signed-off-by: Huamin Chen <[email protected]>

Author: rootfs

pkg/model/estimator/local/regressor/local_test.go

@@ -0,0 +1,51 @@
+/*
+Copyright 2021.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+*/
+
+package regressor
+
+import (
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+
+	"github.com/sustainable-computing-io/kepler/pkg/model/types"
+)
+
+var _ = Describe("Test Regressor Weight Unit (logarithm model from URL)", func() {
+	It("Get Node Components Power By Logarithmic Regression with model from URL", func() {
+		modelURL := "https://raw.githubusercontent.com/sustainable-computing-io/kepler-model-db/refs/heads/main/models/v0.7/ec2-0.7.11/rapl-sysfs/AbsPower/BPFOnly/LogarithmicRegressionTrainer_0.json"
+
+		// Initialize the regressor with the URL
+		r := genRegressor(types.AbsPower, types.ComponentEnergySource, "", modelURL, "", types.LogarithmicTrainer)
+		err := r.Start()
+		Expect(err).To(BeNil())
+
+		r.ResetSampleIdx()
+		r.AddNodeFeatureValues(nodeFeatureValues)
+
+		powers, err := r.GetComponentsPower(false)
+		Expect(err).NotTo(HaveOccurred())
+		Expect(len(powers)).Should(Equal(1))
+
+		// Test power calculation. The results should match those from estimator
+		// Expect(powers[0].Core).Should(BeNumerically("=", 0))
+		// Expect(powers[0].DRAM).Should(BeNumerically("=", 0))
+		// Expect(powers[0].Pkg).Should(BeNumerically("=", 0))
+
+		idlePowers, err := r.GetComponentsPower(true)
+		Expect(err).NotTo(HaveOccurred())
+		Expect(len(idlePowers)).Should(Equal(1))
+	})
+})