GoogleCloudPlatform / public-datasets-pipelines

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 1,150 units with 8,258 lines of code in units (7.9% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
3 medium complex units (131 lines of code)
15 simple units (446 lines of code)
1,132 very simple units (7,681 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 convert_dt_format() in datasets/epa_historical_air_quality/pipelines/_images/run_csv_transform_kub/csv_transform.py	25	16	3
def shorthand_to_number() in datasets/noaa/pipelines/_images/run_csv_transform_kub/csv_transform.py	24	13	1
def generate_products() in datasets/thelook_ecommerce/pipelines/_images/run_thelook_kub/fake.py	82	11	0
def convert_json_file_to_csv() in datasets/hacker_news/pipelines/_images/run_csv_transform_kub/csv_transform.py	57	10	1
def create_dataset_yaml() in scripts/scaffold.py	65	9	1
def __post_init__() in datasets/thelook_ecommerce/pipelines/_images/run_thelook_kub/fake.py	72	8	2
def date_for_length() in datasets/fec/pipelines/_images/run_csv_transform_kub/csv_transform.py	23	8	2
def merge_nested_dicts() in scripts/deploy_dag.py	14	7	3
def download_url_files_from_list() in datasets/san_francisco/pipelines/_images/run_csv_transform_kub/csv_transform.py	10	7	2
def convert_dt_format() in datasets/san_francisco/pipelines/_images/run_csv_transform_kub/csv_transform.py	26	7	2
def __post_init__() in datasets/thelook_ecommerce/pipelines/_images/run_thelook_kub/fake.py	40	7	1
def main() in datasets/usda_nass_agriculture/pipelines/_images/run_script_kub/script.py	18	7	4
def validate_bucket_name() in scripts/generate_terraform.py	13	6	1
def __post_init__() in datasets/thelook_ecommerce/pipelines/_images/run_thelook_kub/fake.py	44	6	2
def convert_dt_format() in datasets/san_francisco_311/pipelines/_images/run_csv_transform_kub/csv_transform.py	11	6	1
def create_dataframe() in datasets/imdb/pipelines/_images/run_csv_transform_kub/csv_transform.py	27	6	1
def chunk_clean_akas() in datasets/imdb/pipelines/_images/run_csv_transform_kub/csv_transform.py	15	6	1
def parse_date_format_value() in datasets/new_york/pipelines/_images/run_csv_transform_kub/csv_transform.py	11	6	1
def create_pipeline_yaml() in scripts/scaffold.py	34	5	1
def parallel_read_tables() in datasets/cloud_datasets/pipelines/_images/pdp_extract_tabular_metadata/script.py	21	5	2
def resolve_nan() in datasets/austin_bikeshare/pipelines/_images/run_csv_transform_kub/csv_transform.py	7	5	2
def ftp_list_of_files() in datasets/noaa/pipelines/_images/run_csv_transform_kub/csv_transform.py	21	5	3
def clean_date() in datasets/london_bicycles/pipelines/_images/run_csv_transform_kub/csv_transform.py	12	5	1
def convert_datetime() in datasets/nasa_wildfire/pipelines/_images/run_csv_transform_kub/csv_transform.py	12	5	1
def get_title_basics() in datasets/imdb/pipelines/_images/run_csv_transform_kub/csv_transform.py	16	5	1
def download_file() in datasets/new_york_taxi_trips/pipelines/_images/run_csv_transform_kub/csv_transform.py	16	5	2
def download_file() in datasets/new_york_taxi_trips/_images/run_csv_transform_kub/csv_transform.py	16	5	2
def create_table_schema() in datasets/noaa_passive_bioacoustic/pipelines/_images/run_csv_transform_kub/csv_transform.py	25	5	2
def scrape() in datasets/geos_fp/pipelines/_images/rolling_copy/script.py	6	5	2
def convert_dt_format() in datasets/fec/pipelines/_images/run_csv_transform_kub/csv_transform.py	14	5	1
def convert_dt_format_opex() in datasets/fec/pipelines/_images/run_csv_transform_kub/csv_transform.py	14	5	1
def list_subdirs() in scripts/deploy_dag.py	3	4	1
def customize_template_subs() in scripts/generate_terraform.py	13	4	2
def list_subdirs() in scripts/generate_terraform.py	3	4	1
def validate_task() in scripts/generate_dag.py	9	4	2
def list_subdirs() in scripts/generate_dag.py	3	4	1
def print_airflow_variables() in scripts/generate_dag.py	17	4	3
def __init__() in datasets/cloud_datasets/pipelines/_images/pdp_extract_tabular_metadata/script.py	17	4	2
def read_datasets() in datasets/cloud_datasets/pipelines/_images/pdp_extract_tabular_metadata/script.py	19	4	1
def listdirs() in datasets/san_francisco/pipelines/_images/run_csv_transform_kub/csv_transform.py	9	4	1
def concatenate_files() in datasets/sec_failure_to_deliver/pipelines/_images/run_csv_transform_kub/csv_transform.py	11	4	2
def __post_init__() in datasets/thelook_ecommerce/pipelines/_images/run_thelook_kub/fake.py	23	4	2
def new_func() in datasets/google_political_ads/pipelines/_images/run_csv_transform_kub/csv_transform.py	8	4	2
def save_to_new_file() in datasets/google_political_ads/pipelines/_images/run_csv_transform_kub/csv_transform.py	5	4	3
def convert_dt_format() in datasets/iowa_liquor_sales/pipelines/_images/run_csv_transform_kub/csv_transform.py	6	4	1
def get_name_basics() in datasets/imdb/pipelines/_images/run_csv_transform_kub/csv_transform.py	11	4	1
def convert_dt_format() in datasets/the_general_index/pipelines/_images/run_csv_transform_kub/csv_transform.py	9	4	1
def replace_date() in datasets/fdic/pipelines/_images/run_csv_transform_kub/csv_transform.py	14	4	2
def find_file_in_path() in datasets/city_health_dashboard/pipelines/_images/run_csv_transform_kub/csv_transform.py	10	4	2
def rename_date_headers() in datasets/covid19_jhu_csse/pipelines/_images/run_csv_transform_kub/csv_transform.py	11	4	2