aws-samples / automating-livestream-video-monitoring
This repo presents a demo application for realtime livestream video quality monitoring using AWS serverless and AI/ML services.
Summary
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| Main Code: 6,027 LOC (88 files) = PY (43%) + VUE (21%) + YAML (18%) + JS (8%) + YML (5%) + GRAPHQL (1%) + CSS (<1%) + HTML (<1%) Secondary code: Test: 638 LOC (21); Generated: 15,265 LOC (2); Build & Deploy: 129 LOC (3); Other: 18,890 LOC (35); |
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| Duplication: 3% | |||
| File Size: 0% long (>1000 LOC), 59% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 53% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 75% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (29 components) | ||
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6 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
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Features of interest:
TODOs
3 files |
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Latest commit date: 2021-09-10
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