alibaba / Route - 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).

Conditional Complexity Overall

Legend:

51+

26-50

11-25

6-10

1-5

Alternative Visuals

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 20 most complex units

Unit	# lines	McCabe index	# params
def eval_all() in route.py	261	98	1
def dump_db_json_schema() in route.py	45	21	2
def get_schmea_str_and_examples() in route.py	44	19	1
def convert_fk_index() in route.py	31	15	1
def get_schema_dict() in route.py	41	13	2
def filter_dict_by_sql() in route.py	24	13	2
def filter_dict_by_sl() in route.py	24	12	2
def parse_sql_from_string() in route.py	22	10	1
def __init__() in route.py	24	7	2
def get_example_str() in route.py	18	7	2
def parse_dataset() in route.py	17	6	3
def generate_response() in route.py	9	5	5
def usegpu() in route.py	17	5	1
def execute_query() in route.py	12	3	2
def replace_syn() in route.py	5	3	2
def read_json_file() in route.py	8	2	1
def generate_response() in route.py	6	2	2
def __init__() in route.py	2	1	3
def replace_multiple_spaces() in route.py	2	1	1
def execute_query_limit() in route.py	11	1	2