aws-samples / amazon-comprehend-doc-search
Using Amazon Comprehend, Amazon Elasticsearch with Kibana, Amazon S3, Amazon Cognito to search over large number of documents.
Summary
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| Main Code: 524 LOC (3 files) = YML (78%) + PY (21%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 102 LOC (4); |
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| Duplication: 13% | |||
| File Size: 0% long (>1000 LOC), 24% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 23% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 23% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (1 component) | ||
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2 years, 10 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: 2021-06-02
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(30 days)
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