elastic / genai-workshops - 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).

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Conditional Complexity Overall

There are 15 units with 422 lines of code in units (16.3% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
1 medium complex units (174 lines of code)
1 simple units (22 lines of code)
13 very simple units (226 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 15 most complex units

Unit	# lines	McCabe index	# params
export default function MainChat() in vectordb-genai-101/chat-app-code/frontend/src/components/main_chat.tsx	174	23	0
def create_llm_prompt() in vectordb-genai-101/chat-app-code/backend/services/llm_service.py	22	8	3
export default function Home() in vectordb-genai-101/chat-app-code/frontend/src/app/page.tsx	106	2	0
def build_conversation_history() in vectordb-genai-101/chat-app-code/backend/services/llm_service.py	38	2	3
def generate_answer() in vectordb-genai-101/chat-app-code/backend/services/model_service.py	5	2	2
def perform_es_search() in vectordb-genai-101/chat-app-code/backend/services/search_service.py	12	2	2
def create_prompt() in vectordb-genai-101/chat-app-code/backend/services/prompt_service.py	7	2	3
export default function MyApp() in vectordb-genai-101/chat-app-code/frontend/pages/_app.tsx	12	1	2
function ChevronsUpDownIcon() in vectordb-genai-101/chat-app-code/frontend/src/components/main_chat.tsx	9	1	1
function SendIcon() in vectordb-genai-101/chat-app-code/frontend/src/components/main_chat.tsx	9	1	1
export default function RootLayout() in vectordb-genai-101/chat-app-code/frontend/src/app/layout.tsx	11	1	2
def es_chat_completion() in vectordb-genai-101/chat-app-code/backend/services/inference_service.py	10	1	2
def init_conversation_history() in vectordb-genai-101/chat-app-code/backend/services/llm_service.py	3	1	0
def call_aws_bedrock() in vectordb-genai-101/chat-app-code/backend/services/model_service.py	2	1	1
def read_root() in vectordb-genai-101/chat-app-code/backend/main.py	2	1	0