Machine Downtime Monitor on AWS is a self-service, cloud solution that customers can utilize to monitor their machines for breakdowns on factory floors. The solution connects to machines on a factory floor via the OPC-DA protocol and provides a near real-time view of machines statuses across lines and factories. The solution deploys Amazon Kinesis stream and provides a flexible model to configure how machine data should be interpreted, based on customers??? needs.
Main Code: 5,287 LOC (57 files) = TS (60%) + TSX (26%) + PY (6%) + CSS (2%) + GRAPHQL (2%) + JS (<1%) + HTML (<1%) Secondary code: Test: 13,101 LOC (29); Generated: 0 LOC (0); Build & Deploy: 145 LOC (2); Other: 739 LOC (25); |
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Duplication: 4% | |||
File Size: 0% long (>1000 LOC), 57% short (<= 200 LOC) | |||
Unit Size: 27% long (>100 LOC), 28% short (<= 10 LOC) | |||
Conditional Complexity: 0% complex (McCabe index > 50), 65% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (10 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) |
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Latest commit date: 2021-11-22
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(30 days)
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generated by sokrates.dev (configuration) on 2022-02-01