def test_empty_segments_urls(self):
# setup
meta_data = pd.read_csv(TEST_DATA_DIR / "study1_metadata_short_durations.csv", index_col=0)
segment_urls = pd.read_csv(TEST_DATA_DIR / "empty_segment_urls.csv", index_col=0)
expected_result = pd.DataFrame(columns=['segments.id', 'dataChunks.url', 'dataChunks.time'])
# run test
result = utils.create_data_chunk_urls(meta_data, segment_urls)
# check result
assert result.equals(expected_result)
def test_success(self):
# setup
meta_data = pd.read_csv(TEST_DATA_DIR / "study1_metadata_short_durations.csv", index_col=0)
segment_urls = pd.read_csv(TEST_DATA_DIR / "segment_urls_3.csv", index_col=0)
expected_result = pd.read_csv(TEST_DATA_DIR / "study1_data_chunk_urls.csv", index_col=0)
# run test
result = utils.create_data_chunk_urls(meta_data, segment_urls)
# check result
assert result.equals(expected_result)
def test_success_from_to_within_segments(self):
# setup
meta_data = pd.read_csv(TEST_DATA_DIR / "study1_metadata_short_durations.csv", index_col=0)
segment_urls = pd.read_csv(TEST_DATA_DIR / "segment_urls_3.csv", index_col=0)
expected_result = pd.read_csv(TEST_DATA_DIR / "study1_data_chunk_urls_short.csv",
index_col=0)
# run test
result = utils.create_data_chunk_urls(meta_data, segment_urls, from_time=1526275685834.375,
to_time=1526275725634.375)
# check result
assert result.equals(expected_result)