aws-samples / aws-cdk-adverse-event-detection-app
Building a real-time adverse event monitoring system for social media data using Amazon SageMaker and Amazon QuickSight
Summary
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| Main Code: 2,980 LOC (13 files) = PY (100%) Secondary code: Test: 18 LOC (3); Generated: 0 LOC (0); Build & Deploy: 11 LOC (1); Other: 559 LOC (6); |
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| Duplication: <1% | |||
| File Size: 79% long (>1000 LOC), 20% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 41% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 66% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (5 components) | ||
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9 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) | |||
Latest commit date: 2021-08-06
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