Wire grade trail notices, dress mark factor, and truancy summons weights.

Lesson multipliers stay explicit in tests; poor marks and unexcused absences toast and may auto-summon, while illness stays excused.
2026-08-21 14:18:41 +03:00
parent 975ca4936e
commit 59a7023bc4
23 changed files with 762 additions and 13 deletions
@@ -0,0 +1,68 @@
+using HSchool.Content;
+
+namespace HSchool.Ai.Tests;
+
+public class LessonMarkCouplingTests
+{
+    private static readonly BehaviorDef Rules = new()
+    {
+        DefName = "Behavior",
+        LessonMarkThresholds = BehaviorDef.DefaultLessonMarkThresholds,
+        LessonMarkMax = 40,
+        LessonNoTextbookFactor = 0.5f,
+        LessonWhisperSkillFactor = 0.4f,
+    };
+
+    [Fact]
+    public void WhisperFactor_WorsensMarkVsQuiet()
+    {
+        var quiet = LessonLearning.Mark(
+            LessonLearning.Quality(1f, 0, 100f, 1f, textbookFactor: 1f),
+            Rules);
+        var whisper = LessonLearning.Mark(
+            LessonLearning.Quality(1f, 0, 100f, 1f, textbookFactor: Rules.LessonWhisperSkillFactor),
+            Rules);
+
+        Assert.True(quiet > whisper);
+    }
+
+    [Fact]
+    public void NoTextbook_WorsensMarkVsWithTextbook()
+    {
+        var withBook = LessonLearning.Mark(
+            LessonLearning.Quality(1f, 0, 100f, 1f, textbookFactor: 1f),
+            Rules);
+        var without = LessonLearning.Mark(
+            LessonLearning.Quality(1f, 0, 100f, 1f, textbookFactor: Rules.LessonNoTextbookFactor),
+            Rules);
+
+        Assert.True(withBook > without);
+    }
+
+    [Fact]
+    public void Hunger_WorsensMarkVsFull()
+    {
+        var full = LessonLearning.Mark(LessonLearning.Quality(1f, 0, 100f, 1f, 1f), Rules);
+        var hungry = LessonLearning.Mark(LessonLearning.Quality(0.2f, 0, 100f, 1f, 1f), Rules);
+
+        Assert.True(full > hungry);
+    }
+
+    [Fact]
+    public void Cold_WorsensMarkVsWarm()
+    {
+        var warm = LessonLearning.Mark(LessonLearning.Quality(1f, 0, 100f, warmth: 1f, textbookFactor: 1f), Rules);
+        var cold = LessonLearning.Mark(LessonLearning.Quality(1f, 0, 100f, warmth: 0.2f, textbookFactor: 1f), Rules);
+
+        Assert.True(warm > cold);
+    }
+
+    [Fact]
+    public void WeakTeacher_WorsensMarkVsStrong()
+    {
+        var strong = LessonLearning.Mark(LessonLearning.Quality(1f, 0, teacherSkill: 100f, 1f, 1f), Rules);
+        var weak = LessonLearning.Mark(LessonLearning.Quality(1f, 0, teacherSkill: 10f, 1f, 1f), Rules);
+
+        Assert.True(strong > weak);
+    }
+}