apache / incubator-sdap-in-situ-data-servicesConditional 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).

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Conditional Complexity Overall

There are 430 units with 3,116 lines of code in units (46.7% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
9 medium complex units (336 lines of code)
23 simple units (492 lines of code)
398 very simple units (2,288 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 get() in parquet_flask/v1/query_data_doms_custom_pagination.py	35	18	1
def __generate_time_partition_list() in parquet_flask/io_logic/parquet_query_condition_management_v4.py	22	17	3
def __generate_time_partition_list() in parquet_flask/io_logic/parquet_query_condition_management_v3.py	22	17	3
def get() in parquet_flask/v1/query_data_doms.py	30	16	1
def start() in parquet_flask/cdms_lambda_func/index_to_es/s3_stat_extractor.py	26	13	1
def start() in parquet_flask/io_logic/sub_collection_statistics.py	102	13	1
def start() in parquet_flask/io_logic/parquet_paths_es_retriever.py	48	12	1
def get() in parquet_flask/v1/sub_collection_statistics_endpoint.py	28	11	1
def __check_time_range() in parquet_flask/io_logic/parquet_query_condition_management_v3.py	23	11	1
def add_one_item() in parquet_flask/aws/aws_ddb.py	22	10	5
def __check_depth() in parquet_flask/io_logic/parquet_query_condition_management_v4.py	19	10	1
def to_json() in parquet_flask/cdms_lambda_func/index_to_es/s3_stat_extractor.py	21	9	1
def generate_lat_lon_intervals() in parquet_flask/utils/spatial_utils.py	14	9	3
def ingest() in parquet_flask/v1/ingest_aws_json.py	30	8	1
def ingest() in parquet_flask/io_logic/ingest_new_file.py	28	8	3
def from_json() in parquet_flask/io_logic/query_v2.py	24	8	2
def gunzip_file_os() in parquet_flask/utils/file_utils.py	15	7	2
def create_table() in parquet_flask/aws/aws_ddb.py	40	7	2
def _replace_decimals() in parquet_flask/aws/aws_ddb.py	16	7	2
def __get_doc_dict() in parquet_flask/aws/es_middleware.py	9	7	4
def __check_errors_for_bulk() in parquet_flask/aws/es_middleware.py	9	7	2
def get_unioned_read_df() in parquet_flask/io_logic/query_v4.py	22	7	3
def load_from_es() in parquet_flask/io_logic/partitioned_parquet_path.py	14	7	2
def generate_path() in parquet_flask/io_logic/partitioned_parquet_path.py	21	7	1
def start() in parquet_flask/cdms_lambda_func/index_to_es/parquet_file_es_indexer.py	19	6	2
def start() in parquet_flask/parquet_stat_extractor/statistics_retriever.py	31	6	1
def __get_all_s3_files_under() in parquet_flask/aws/aws_s3.py	14	6	4
def search() in parquet_flask/io_logic/query_v4.py	46	6	2
def __get_json_datatype() in parquet_flask/io_logic/cdms_schema.py	13	6	3
def search() in parquet_flask/io_logic/raw_query.py	34	6	3
def __check_platform() in parquet_flask/io_logic/parquet_query_condition_management_v3.py	15	6	1
def __check_depth() in parquet_flask/io_logic/parquet_query_condition_management_v3.py	16	6	1
def __calculate_4_ranges() in parquet_flask/v1/query_data_doms.py	18	5	2
def start() in parquet_flask/cdms_lambda_func/ingest_s3_to_cdms/ingest_s3_to_cdms.py	37	5	2
def __is_valid() in parquet_flask/cdms_lambda_func/s3_records/s3_2_sqs.py	14	5	1
def is_int() in parquet_flask/utils/general_utils.py	10	5	2
def is_float() in parquet_flask/utils/general_utils.py	10	5	2
def gen_float_list_from_comma_sep_str() in parquet_flask/utils/general_utils.py	8	5	2
def write_json() in parquet_flask/utils/file_utils.py	8	5	5
def has_table() in parquet_flask/aws/aws_ddb.py	8	5	1
def update_one_item() in parquet_flask/aws/aws_ddb.py	15	5	7
def add_tags_to_obj() in parquet_flask/aws/aws_s3.py	12	5	2
def get_secret() in parquet_flask/aws/aws_secret_manager.py	22	5	2
def __check_time_range() in parquet_flask/io_logic/parquet_query_condition_management_v4.py	11	5	1
def __get_nth_first_page() in parquet_flask/io_logic/query_v4.py	19	5	2
def get_geospatial_interval() in parquet_flask/io_logic/ingest_new_file.py	11	5	1
def __sanitize_record() in parquet_flask/io_logic/sanitize_record.py	7	5	2
def start() in parquet_flask/io_logic/sanitize_record.py	14	5	2
def __format_lat_lon() in parquet_flask/io_logic/partitioned_parquet_path.py	8	5	1
def __check_bbox() in parquet_flask/io_logic/parquet_query_condition_management_v3.py	15	5	1