aws-solutions / aws-media-insights-engine

A serverless framework to accelerate the development of applications that discover next-generation insights in your video, audio, text, and image resources by utilizing AWS Machine Learning and Media services.

Summary

	CFG
		Main Code: 12,153 LOC (55 files) = PY (61%) + YAML (38%) + YML (<1%) + CFG (<1%) Secondary code: Test: 1,994 LOC (17); Generated: 0 LOC (0); Build & Deploy: 976 LOC (5); Other: 2,927 LOC (16);
		Duplication: 46%
		File Size: 51% long (>1000 LOC), 30% short (<= 200 LOC)
		Unit Size: 11% long (>100 LOC), 19% short (<= 10 LOC)
		Conditional Complexity: 2% complex (McCabe index > 50), 38% simple (McCabe index <= 5)
		Logical Component Decomposition: primary (10 components)
		2 years, 5 months old 99% of code older than 365 days <1% of code not updated in the past 365 days
		14% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits.
		Goals: Keep the system simple and easy to change (4)
	Features of interest: TODOs 13 files

Commits Trend

Latest commit date: 2022-01-21

15 commits (30 days) 2 contributors (30 days)

Commits 15 135 105 127 Contributors 2 8 9 12 2022 2021 2020 2019

show commits trend per language

Commits	2022 2021 2020 2019 9 46 29 32 py 2 40 33 33 yaml 1 21 8 yml cfg 1 cfg
Contributors	2022 2021 2020 2019 2 3 5 7 py 1 4 6 6 yaml 1 3 2 yml cfg 1 cfg