add borderline method 2 based on led2Average

app/src/main/java/com/example/hpostesting/data/dao/MyDataBase.kt

@@ -10,7 +10,7 @@ import com.example.hpostesting.data.model.patient.UserData
 
 @Database(
     entities = [UserData::class, HemoCubeTestData::class, DeviceData::class, BufferCheckData::class],
-    version = 26,
+    version = 27,
     exportSchema = false
 )
 @TypeConverters(Converters::class)

app/src/main/java/com/example/hpostesting/data/model/patient/HemoCubeTestData.kt

@@ -78,6 +78,7 @@ data class HemoCubeTestData(
     var prdClassification: String = "",
     var deviceRatioClass: String = "",
     var slopeRatioClass: String = "",
+    var borderlineMethod2Class: String = "",
     var errorMessages: String = "",
     var batteryLevel: String = "",
     var batteryCapacity: String = "",

app/src/main/java/com/example/hpostesting/presentation/dashboard/HomeFragment.kt

@@ -116,13 +116,13 @@ class HomeFragment : Fragment() {
                 binding.rvOrderOffline.adapter = adapter
             }
         }
-        hemoCubeViewModel.deviceData.observe(viewLifecycleOwner) { deviceData ->
+//        hemoCubeViewModel.deviceData.observe(viewLifecycleOwner) { deviceData ->
-            val devicelist = mutableListOf<DeviceData>()
+//            val devicelist = mutableListOf<DeviceData>()
-            if (deviceData != null) {
+//            if (deviceData != null) {
-                devicelist.add(DeviceData(deviceData.deviceId))
+//                devicelist.add(DeviceData(deviceData.deviceId))
-            }
+//            }
-
+//
-        }
+//        }
         viewModel.networkStatusLiveData?.observe(viewLifecycleOwner) { isConnected ->
             if (isConnected) {
                 binding.internetAvailableCL.visibility = View.VISIBLE

app/src/main/java/com/example/hpostesting/presentation/hemocube/HemoCubeFragment.kt

@@ -911,6 +911,7 @@ class HemoCubeFragment : Fragment() {
                     .toString() + ", " + currentDeviceData?.coefficients?.get(1).toString()
                 this.prdClassification = absorbanceBasedClassification(predictedDenovixRatio)
                 this.deviceRatioClass = deviceRatioClassification(deviceRatio)
+                this.borderlineMethod2Class = reclassifyWithBorderlineMethod2(deviceRatio, deviceRatioBorderlineThresholds(deviceRatio), led2Average)
                 this.slopeRatioClass = slopeClass
                 this.classificationResult = findResultWithAdditionalMethods(
                     deviceRatio,
@@ -957,6 +958,29 @@ class HemoCubeFragment : Fragment() {
         }
     }
 
+    fun reclassifyWithBorderlineMethod2(deviceRatio: Double?, deviceRatioClass: String?, led2Average: Double?): String {
+        try {
+            if (deviceRatio != null && led2Average != null) {
+                if (deviceRatioClass == "Negative Borderline") {
+                    return if (led2Average >= 0.15)
+                        "Borderline. Normal"
+                    else
+                        "Borderline. Sickle Cell Trait"
+                }
+                if (deviceRatioClass == "Positive for Sickle Cell. HPLC for Confirmation") {
+                    return if (led2Average >= 0.19)
+                        "Borderline. Sickle Cell Trait"
+                    else
+                        "Borderline. Sickle Cell Disease"
+                }
+            }
+        } catch (e: Exception) {
+            handleException(e)
+            return "Error"
+        }
+        return deviceRatioClass.toString()
+    }
+
     fun findResultWithAdditionalMethods(
         deviceRatio: Double?,
         deviceRatioClass: String?,
@@ -985,10 +1009,35 @@ class HemoCubeFragment : Fragment() {
         return deviceRatioClass.toString()
     }
 
+    fun deviceRatioBorderlineThresholds(ratio: Double?): String {
+        try {
+            if (ratio != null) {
+                if (ratio in 0.11..0.237) {
+//                    setSubtitleTextColor(R.color.green_2)
+                    return "Normal"
+                }
+                if (ratio in 0.237..0.242)
+                    return "Negative Borderline"
+                if (ratio in 0.242..0.318)
+                    return "Sickle Cell Trait"
+                if (ratio in 0.318..0.356)
+                    return "Positive for Sickle Cell. HPLC for Confirmation"
+                if (ratio in 0.356..0.7)
+                    return "Sickle Cell Disease"
+            } else {
+                return "Invalid"
+            }
+        } catch (e: Exception) {
+            handleException(e)
+            return "Error"
+        }
+        return "Invalid"
+    }
+
     fun deviceRatioClassification(ratio: Double?): String {
         try {
             if (ratio != null) {
-                if (ratio in 0.16..0.22) {
+                if (ratio in 0.16..0.23) {
 //                    setSubtitleTextColor(R.color.green_2)
                     return "Normal"
                 }
@@ -998,7 +1047,7 @@ class HemoCubeFragment : Fragment() {
                     return "Sickle Cell Trait"
                 if (ratio in 0.31..0.36)
                     return "Positive for Sickle Cell. HPLC for Confirmation"
-                if (ratio in 0.36..0.56)
+                if (ratio in 0.36..0.7)
                     return "Sickle Cell Disease"
             } else {
                 return "Invalid"

app/src/main/java/com/example/hpostesting/presentation/hemocube/HemoCubeViewModel.kt

@@ -290,6 +290,7 @@ class HemoCubeViewModel @Inject constructor(
         testDetails?.prdClassification = DataHolder.hemoCubeTestData?.prdClassification.toString()
         testDetails?.deviceRatioClass = DataHolder.hemoCubeTestData?.deviceRatioClass.toString()
         testDetails?.slopeRatioClass = DataHolder.hemoCubeTestData?.slopeRatioClass.toString()
+        testDetails?.borderlineMethod2Class = DataHolder.hemoCubeTestData?.borderlineMethod2Class.toString()
         testDetails?.errorMessages = DataHolder.hemoCubeTestData?.errorMessages.toString()
         testDetails?.batteryLevel = DataHolder.hemoCubeTestData?.batteryLevel.toString()
         testDetails?.batteryCapacity = DataHolder.hemoCubeTestData?.batteryCapacity.toString()

app/src/test/java/com/example/hpostesting/HemoCubeFragmentTest.kt

@@ -441,4 +441,60 @@ class HemoCubeFragmentTest {
         val result = hemoCubeFragment.findResultWithAdditionalMethods(0.5, "Sickle Cell Disease", 70.0)
         assertEquals("Sickle Cell Disease", result)
     }
+
+    @Test
+    fun testReclassifyWithBorderlineMethod2_NegativeBorderlineToNormal() {
+        // Arrange
+        val deviceRatio = 0.1
+        val deviceRatioClass = "Negative Borderline"
+        val led2Average = 0.2
+
+        // Act
+        val result = hemoCubeFragment.reclassifyWithBorderlineMethod2(deviceRatio, deviceRatioClass, led2Average)
+
+        // Assert
+        assertEquals("Borderline. Normal", result)
+    }
+
+    @Test
+    fun testReclassifyWithBorderlineMethod2_NegativeBorderlineToSCT() {
+        // Arrange
+        val deviceRatio = 0.1
+        val deviceRatioClass = "Negative Borderline"
+        val led2Average = 0.14
+
+        // Act
+        val result = hemoCubeFragment.reclassifyWithBorderlineMethod2(deviceRatio, deviceRatioClass, led2Average)
+
+        // Assert
+        assertEquals("Borderline. Sickle Cell Trait", result)
+    }
+
+    @Test
+    fun testReclassifyWithBorderlineMethod2_PositiveSickleCell() {
+        // Arrange
+        val deviceRatio = 0.2
+        val deviceRatioClass = "Positive for Sickle Cell. HPLC for Confirmation"
+        val led2Average = 0.18
+
+        // Act
+        val result = hemoCubeFragment.reclassifyWithBorderlineMethod2(deviceRatio, deviceRatioClass, led2Average)
+
+        // Assert
+        assertEquals("Borderline. Sickle Cell Disease", result)
+    }
+
+    @Test
+    fun testReclassifyWithBorderlineMethod2_PositiveSickleCellToSCT() {
+        // Arrange
+        val deviceRatio = 0.2
+        val deviceRatioClass = "Positive for Sickle Cell. HPLC for Confirmation"
+        val led2Average = 0.195
+
+        // Act
+        val result = hemoCubeFragment.reclassifyWithBorderlineMethod2(deviceRatio, deviceRatioClass, led2Average)
+
+        // Assert
+        assertEquals("Borderline. Sickle Cell Trait", result)
+    }
 }