google-gemini / angular-docs-rag-sample 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 14 most complex units

Unit	# lines	McCabe index	# params
def parse_related_questions_response_to_list() in functions/main.py	13	6	1
def call_genai_generate_content() in functions/main.py	13	5	1
def generate_aqa_answer() in functions/main.py	43	4	1
def get_url() in functions/main.py	22	4	1
async getAnswer() in src/app/chat/chat.component.ts	12	2	1
addDialog() in src/app/chat/chat.component.ts	7	2	3
def get_genai_follow_up_questions() in functions/main.py	20	2	2
def generate_genai_answer() in functions/main.py	8	2	1
async getAQAAnswer() in src/app/gen-ai.service.ts	3	1	1
def convert_to_html() in functions/main.py	4	1	1
def add_custom_instruction_to_context() in functions/main.py	4	1	2
def ask_model_with_context() in functions/main.py	4	1	2
def print_the_prompt() in functions/main.py	9	1	1
def hello() in functions/main.py	5	1	1