def METHOD_NAME():
    platform = "urn:li:dataPlatform:kafka"
    dataset_name = (
        "test-timeline-sample-kafka"
    )
    env = "PROD"
    dataset_urn = f"urn:li:dataset:({platform},{dataset_name},{env})"
    put(dataset_urn, "glossaryTerms", "test_resources/timeline/newglossary.json")
    put(dataset_urn, "glossaryTerms", "test_resources/timeline/newglossaryv2.json")
    put(dataset_urn, "glossaryTerms", "test_resources/timeline/newglossaryv3.json")
    res_data = timeline_cli.get_timeline(dataset_urn, ["GLOSSARY_TERM"], None, None, False)
    get_datahub_graph().hard_delete_entity(urn=dataset_urn)
    assert res_data
    assert len(res_data) == 3
    assert res_data[0]["semVerChange"] == "MINOR"
    assert len(res_data[0]["changeEvents"]) == 1
    assert res_data[1]["semVerChange"] == "MINOR"
    assert len(res_data[1]["changeEvents"]) == 1
    assert res_data[2]["semVerChange"] == "MINOR"
    assert len(res_data[2]["changeEvents"]) == 2
    assert res_data[2]["semVer"] == "0.2.0-computed"