GoogleCloudPlatform / solutionbuilder-terraform-genai-doc-summarization

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 13 most complex units

Unit	# lines	McCabe index	# params
def get_ocr_output_from_bucket() in webhook/document_extract.py	18	5	2
def entrypoint() in webhook/main.py	19	4	1
def truncate_complete_text() in webhook/utils.py	15	4	2
def redirect_and_reply() in webhook/main.py	27	3	1
def default_marshaller() in webhook/main.py	4	2	1
def coerce_datetime_zulu() in webhook/utils.py	11	2	1
def write_summarization_to_table() in webhook/bigquery.py	11	1	0
def async_document_extract() in webhook/document_extract.py	5	1	0
def predict_large_language_model() in webhook/vertex_llm.py	10	1	0
def cloud_event_entrypoint() in webhook/main.py	17	1	4
def summarization_entrypoint() in webhook/main.py	6	1	0
def log_content_error() in webhook/utils.py	4	1	1
def upload_to_gcs() in webhook/storage.py	5	1	3