• There are 38 files with units, with 6,114 lines of code.
• 0 very complex files (McCabe index sum 251+; 0 lines of code)
• 1 complex files (McCabe index sum 126-250; 1,295 lines of code)
• 5 medium complex files (McCabe index sum 51-125; 1,817 lines of code)
• 3 slightly complex files (McCabe index sum 26-50; 688 lines of code)
• 29 simple files (McCabe index sum 1-25; 2,314 lines of code)
• 25 main files have no units (e.g. languages without unit analysis, or files without functions) and are not classified.

The McCabe index of a file grows with its size: per 100 lines tells a large but plain file from a dense one, and most complex unit whether the complexity sits in one unit or is spread over many.

File	# lines	# units	McCabe index (sum)	per 100 lines	most complex unit
RunDetailPage.tsx in frontend/src/pages	1295	37	223	17	35
orchestrator.py in src/research_agent/supervisor	556	22	87	16	27
web_reporter.py in src/research_agent/reporters	385	52	84	22	7
jobs.py in src/research_agent/backend	418	22	83	20	12
__init__.py in src/research_agent/tools	257	6	76	30	16
csv_importer.py in src/research_agent/backend/services	201	8	53	26	20
runtime.py in src/research_agent/agents	290	12	42	14	13
prompts.py in src/research_agent/backend	201	12	36	18	7
runs.py in src/research_agent/backend/routes	197	10	34	17	9
streams.py in src/research_agent/backend	88	16	24	27	5
useDatabases.ts in frontend/src/hooks	71	8	14	20	4
storage.py in src/research_agent/backend	76	5	14	18	5
databases.py in src/research_agent/backend/routes	139	7	14	10	3
prompts.py in src/research_agent/backend/routes	76	7	13	17	2
useRuns.ts in frontend/src/hooks	84	8	11	13	4
DatasetsPage.tsx in frontend/src/pages	407	4	11	3	5
config.py in src/research_agent	78	5	10	13	3
ingestion.py in src/research_agent/analysis	47	3	8	17	4
executor.py in src/research_agent/backend	35	2	7	20	6
usePrompts.ts in frontend/src/hooks	96	6	6	6	1
data_analysis.py in src/research_agent/agents	29	1	6	21	6
RunsPage.tsx in frontend/src/pages	381	2	5	1	3
stats.py in src/research_agent/analysis	13	2	5	38	3
useEventStream.ts in frontend/src/hooks	44	1	4	9	4
checks.py in src/research_agent/supervisor	14	1	4	29	4
eda.py in src/research_agent/analysis	9	1	3	33	3
__init__.py in src/research_agent/agents/literature	41	1	3	7	3
contracts.py in src/research_agent/agents	34	3	3	9	1
vite.config.ts in frontend	23	1	2	9	2
main.py in src/research_agent/backend	25	2	2	8	1
eventSource.ts in frontend/src/lib	4	1	1	25	1
client.ts in frontend/src/api	24	1	1	4	1
PromptsPage.tsx in frontend/src/pages	410	1	1	0	1
backend_smoke.py in scripts	19	1	1	5	1
cli.py in src/research_agent/interface	24	1	1	4	1
base.py in src/research_agent/agents/literature/providers	6	1	1	17	1
logging.py in src/research_agent/utils	4	1	1	25	1
system.py in src/research_agent/backend/routes	13	1	1	8	1

• File complexity is the sum of the McCabe indexes (conditional complexity) of the units (methods, functions...) in a file.
• Files are classified in five categories based on that sum: 1-25 (simple files), 26-50 (slightly complex files), 51-125 (medium complex files), 126-250 (complex files), 251+ (very complex files). The default bands are five times the unit complexity bands, as a file is a group of units.
• Only main code files with units are classified. Files without units (languages without unit analysis, or files without functions) have no complexity to measure and are left out rather than counted as simple.
• A very complex file holds many decisions, which often means it has too many responsibilities: a candidate to split, and a place where changes need more testing.