Revert "final touch up"

This reverts commit 98bbd1a.

Author: shuoweil

tests/system/small/test_run_and_publish_benchmark.py

@@ -15,39 +15,28 @@
 from pathlib import Path
 import sys
 
-# Add the project root to the Python path to allow for application-specific imports.
-sys.path.insert(0, str(Path(__file__).resolve().parents[3]))
-
-from scripts import run_and_publish_benchmark  # noqa: E402
+from scripts import run_and_publish_benchmark
 
+sys.path.insert(0, str(Path(__file__).resolve().parents[3]))
 
-def test_collect_benchmark_result(tmp_path: Path):
-    """Tests the collect_benchmark_result function.
-
-    This test verifies that the function correctly reads benchmark result
-    files from a specified directory, processes them, and returns a
-    pandas DataFrame with the expected data and types.
 
-    Args:
-        tmp_path (Path): The pytest fixture providing a temporary directory path.
-    """
-    # Arrange: Create dummy log files with benchmark data.
+def test_collect_benchmark_result(tmp_path):
+    # Create dummy log files
     (tmp_path / "benchmark1.bytesprocessed").write_text("100")
     (tmp_path / "benchmark1.slotmillis").write_text("1000")
     (tmp_path / "benchmark1.bq_exec_time_seconds").write_text("1.0")
     (tmp_path / "benchmark1.local_exec_time_seconds").write_text("2.0")
     (tmp_path / "benchmark1.query_char_count").write_text("50")
     (tmp_path / "benchmark1.totalrows").write_text("10")
 
-    # Act: Collect the benchmark results from the temporary directory.
-    # The second argument '1' is a placeholder for the number of runs.
+    # Collect the benchmark results
     df, error_message = run_and_publish_benchmark.collect_benchmark_result(
         str(tmp_path), 1
     )
 
-    # Assert: Verify the contents and structure of the resulting DataFrame.
-    assert error_message is None, "Expected no error messages."
-    assert len(df) == 1, "DataFrame should contain exactly one row."
+    # Assert that the DataFrame is correct
+    assert error_message is None
+    assert len(df) == 1
     assert df["Benchmark_Name"][0] == "benchmark1"
     assert df["Bytes_Processed"][0] == 100
     assert df["Slot_Millis"][0] == 1000