mozilla / opmon - 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 73 units with 750 lines of code in units (25.6% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
3 medium complex units (219 lines of code)
3 simple units (55 lines of code)
67 very simple units (476 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 validate() in opmon/monitoring.py	129	20	1
def dry_run_query() in opmon/dryrun.py	34	15	2
def write() in opmon/metadata.py	56	12	1
def to_experiment() in opmon/experimenter.py	27	9	1
def _before_execute_callback() in opmon/cli.py	16	7	4
def _check_runnable() in opmon/monitoring.py	12	6	2
def _buffer_to_json() in opmon/logging/bigquery_log_handler.py	16	4	2
def ever_launched() in opmon/experimenter.py	9	4	1
def with_slug() in opmon/experimenter.py	5	4	2
def from_config() in opmon/statistic.py	14	4	2
def _get_statistics_sql() in opmon/monitoring.py	19	4	2
def _run_sql_for_alerts() in opmon/monitoring.py	30	4	2
def _check_value_not_null() in opmon/platform.py	7	3	3
def _generate_platform_config() in opmon/platform.py	12	3	2
def configs() in opmon/config.py	10	3	1
def flush() in opmon/logging/bigquery_log_handler.py	14	3	1
def from_dict() in opmon/experimenter.py	16	3	2
def rollouts() in opmon/experimenter.py	3	3	1
def compute() in opmon/statistic.py	9	3	2
def run() in opmon/monitoring.py	34	3	2
def _run_metrics_sql() in opmon/monitoring.py	25	3	2
def _get_sql_for_alerts() in opmon/monitoring.py	17	3	2
def bigquery() in opmon/metadata.py	3	2	1
def client() in opmon/bigquery_client.py	3	2	1
def convert() in opmon/cli.py	4	2	4
def setup_logger() in opmon/logging/__init__.py	12	2	2
def appName() in opmon/experimenter.py	2	2	1
def appId() in opmon/experimenter.py	2	2	1
def bigquery() in opmon/monitoring.py	5	2	1
def _app_id_to_bigquery_dataset() in opmon/monitoring.py	4	2	2
def _get_statistics_view_sql() in opmon/monitoring.py	13	2	1
def _render_sql() in opmon/metadata.py	6	1	4
def with_configs_from() in opmon/config.py	2	1	0
def validate() in opmon/config.py	5	1	0
def __call__() in opmon/bigquery_client.py	5	1	0
def sql_table_id() in opmon/bigquery_client.py	2	1	1
def execute() in opmon/bigquery_client.py	11	1	0
def load_table_from_json() in opmon/bigquery_client.py	2	1	0
def __init__() in opmon/dryrun.py	3	1	3
def cli() in opmon/cli.py	6	1	0
def run() in opmon/cli.py	10	1	0
def _run() in opmon/cli.py	7	1	0
def backfill() in opmon/cli.py	11	1	0
def preview() in opmon/cli.py	13	1	0
def validate_config() in opmon/cli.py	2	1	0
def __init__() in opmon/logging/bigquery_log_handler.py	7	1	0
def __init__() in opmon/errors.py	2	1	2
def __init__() in opmon/errors.py	2	1	3
def __init__() in opmon/errors.py	2	1	3
def __init__() in opmon/errors.py	2	1	3