Add BERTopic.

LLMTopicDetection_BERTopic/tests/test_plotting/test_topics.py

@@ -0,0 +1,52 @@
+import copy
+import pytest
+
+
+@pytest.mark.parametrize(
+    "model",
+    [
+        ("kmeans_pca_topic_model"),
+        ("base_topic_model"),
+        ("custom_topic_model"),
+        ("merged_topic_model"),
+        ("reduced_topic_model"),
+        ("online_topic_model"),
+    ],
+)
+def test_topics(model, request):
+    topic_model = copy.deepcopy(request.getfixturevalue(model))
+    fig = topic_model.visualize_topics()
+    for slider in fig.to_dict()["layout"]["sliders"]:
+        for step in slider["steps"]:
+            assert int(step["label"].split(" ")[-1]) != -1
+
+    fig = topic_model.visualize_topics(top_n_topics=5)
+    for slider in fig.to_dict()["layout"]["sliders"]:
+        for step in slider["steps"]:
+            assert int(step["label"].split(" ")[-1]) != -1
+
+
+@pytest.mark.parametrize(
+    "model",
+    [
+        ("kmeans_pca_topic_model"),
+        ("base_topic_model"),
+        ("custom_topic_model"),
+        ("merged_topic_model"),
+        ("reduced_topic_model"),
+        ("online_topic_model"),
+    ],
+)
+def test_topics_outlier(model, request):
+    topic_model = copy.deepcopy(request.getfixturevalue(model))
+    topic_model.topic_sizes_[-1] = 4
+    fig = topic_model.visualize_topics()
+
+    for slider in fig.to_dict()["layout"]["sliders"]:
+        for step in slider["steps"]:
+            assert int(step["label"].split(" ")[-1]) != -1
+
+    fig = topic_model.visualize_topics(top_n_topics=5)
+    for slider in fig.to_dict()["layout"]["sliders"]:
+        for step in slider["steps"]:
+            assert int(step["label"].split(" ")[-1]) != -1