GoogleCloudPlatform / dataplexutils - Conditional Complexity

Intro

Conditional complexity (also called cyclomatic complexity) is a term used to measure the complexity of software. The term refers to the number of possible paths through a program function. A higher value ofter means higher maintenance and testing costs (infosecinstitute.com).
Conditional complexity is calculated by counting all conditions in the program that can affect the execution path (e.g. if statement, loops, switches, and/or operators, try and catch blocks...).
Conditional complexity is measured at the unit level (methods, functions...).
Units are classified in four categories based on the measured McCabe index: 1-5 (simple units), 6-10 (medium complex units), 11-25 (complex units), 26+ (very complex units).

Learn more...

Conditional Complexity Overall

There are 67 units with 1,887 lines of code in units (70.9% of code).

0 very complex units (0 lines of code)
2 complex units (111 lines of code)
3 medium complex units (441 lines of code)
17 simple units (724 lines of code)
45 very simple units (611 lines of code)

Legend:

51+

26-50

11-25

6-10

1-5

Alternative Visuals

3D view of all units

Conditional Complexity per Extension

51+

26-50

11-25

6-10

1-5

Conditional Complexity per Logical Component

primary logical decomposition

51+

26-50

11-25

6-10

1-5

Most Complex Units

Top 50 most complex units

Unit	# lines	McCabe index	# params
def generate_dataset_tables_descriptions() in src/package/dataplexutils/metadata/wizard.py	59	30	4
def generate_dataset_tables_columns_descriptions() in src/package/dataplexutils/metadata/wizard.py	52	27	4
def generate_columns_descriptions() in src/package/dataplexutils/metadata/wizard.py	79	14	4
function App() in src/frontend/metadata-wizard-app/src/App.js	318	12	0
def _extract_column_info_from_table_profile() in src/package/dataplexutils/metadata/wizard.py	44	11	3
def _get_prompt_table() in src/package/dataplexutils/metadata/wizard.py	56	10	1
def _get_job_sources() in src/package/dataplexutils/metadata/wizard.py	57	10	3
def _get_table_profile_quality() in src/package/dataplexutils/metadata/wizard.py	49	9	3
def _update_table_dataplex_description() in src/package/dataplexutils/metadata/wizard.py	55	9	3
def _update_column_metadata_as_regenerated() in src/package/dataplexutils/metadata/wizard.py	57	9	3
def _get_prompt_columns() in src/package/dataplexutils/metadata/wizard.py	45	8	1
def generate_table_description() in src/package/dataplexutils/metadata/wizard.py	64	8	4
def _get_tables_from_uri() in src/package/dataplexutils/metadata/wizard.py	16	8	2
def _get_column_comment() in src/package/dataplexutils/metadata/wizard.py	31	8	4
def _update_table_draft_description() in src/package/dataplexutils/metadata/wizard.py	57	8	3
def _update_column_draft_description() in src/package/dataplexutils/metadata/wizard.py	56	8	4
def accept_column_draft_description() in src/package/dataplexutils/metadata/wizard.py	25	7	3
def _update_table_metadata_as_regenerated() in src/package/dataplexutils/metadata/wizard.py	44	7	2
def _check_if_table_should_be_regenerated() in src/package/dataplexutils/metadata/wizard.py	20	7	2
def _check_if_column_should_be_regenerated() in src/package/dataplexutils/metadata/wizard.py	20	7	3
def _list_tables_in_dataset_for_regeneration() in src/package/dataplexutils/metadata/wizard.py	26	6	2
def _llm_inference() in src/package/dataplexutils/metadata/wizard.py	46	6	3
def _get_updated_column() in src/package/dataplexutils/metadata/wizard.py	24	5	3
def _get_table_sources_info() in src/package/dataplexutils/metadata/wizard.py	23	5	3
def _update_table_bq_description() in src/package/dataplexutils/metadata/wizard.py	21	5	3
def accept_table_draft_description() in src/package/dataplexutils/metadata/wizard.py	20	5	2
def get_promtp() in src/package/dataplexutils/metadata/wizard.py	11	4	1
def _order_tables_to_strategy() in src/package/dataplexutils/metadata/wizard.py	11	4	3
def _get_table_scan_reference() in src/package/dataplexutils/metadata/wizard.py	19	4	2
def _get_table_sources() in src/package/dataplexutils/metadata/wizard.py	24	4	2
def _update_column_bq_description() in src/package/dataplexutils/metadata/wizard.py	20	4	4
def _get_table_schema() in src/package/dataplexutils/metadata/wizard.py	14	3	2
def _get_table_sample() in src/package/dataplexutils/metadata/wizard.py	11	3	3
def _get_table_profile() in src/package/dataplexutils/metadata/wizard.py	9	3	3
def _get_table_quality() in src/package/dataplexutils/metadata/wizard.py	9	3	3
def _list_tables_in_dataset() in src/package/dataplexutils/metadata/wizard.py	10	2	2
def _table_exists() in src/package/dataplexutils/metadata/wizard.py	6	2	2
def _split_table_fqn() in src/package/dataplexutils/metadata/wizard.py	10	2	2
def _split_dataset_fqn() in src/package/dataplexutils/metadata/wizard.py	8	2	2
def _construct_bq_resource_string() in src/package/dataplexutils/metadata/wizard.py	7	2	2
def _get_dataset_location() in src/package/dataplexutils/metadata/wizard.py	8	2	2
def _bq_job_info() in src/package/dataplexutils/metadata/wizard.py	10	2	3
def _get_table_description() in src/package/dataplexutils/metadata/wizard.py	9	2	2
def regenerate_table_description() in src/package/dataplexutils/metadata/wizard.py	10	2	3
def regenerate_columns_descriptions() in src/package/dataplexutils/metadata/wizard.py	9	2	4
def _update_table_schema() in src/package/dataplexutils/metadata/wizard.py	12	2	3
def _create_aspect_type() in src/package/dataplexutils/metadata/wizard.py	25	2	2
def _check_if_exists_aspect_type() in src/package/dataplexutils/metadata/wizard.py	10	2	2
def _call_api() in src/cli/metadata_wizard_cli/cli.py	21	1	0
def _get_input_arguments() in src/cli/metadata_wizard_cli/cli.py	134	1	0