awslabs / document-understanding-solution
Example of integrating & using Amazon Textract, Amazon Comprehend, Amazon Comprehend Medical, Amazon Kendra to automate the processing of documents for use cases such as enterprise search and discovery, control and compliance, and general business process workflow.
Summary
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| Main Code: 14,001 LOC (169 files) = JS (45%) + SCSS (23%) + PY (19%) + TS (10%) Secondary code: Test: 199 LOC (4); Generated: 32,979 LOC (3); Build & Deploy: 183 LOC (3); Other: 34,578 LOC (36); |
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| Duplication: 14% | |||
| File Size: 10% long (>1000 LOC), 64% short (<= 200 LOC) | |||
| Unit Size: 16% long (>100 LOC), 36% short (<= 10 LOC) | |||
| Conditional Complexity: 9% complex (McCabe index > 50), 58% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (23 components) | ||
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2 years, 2 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
4 files |
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Latest commit date: 2021-11-15
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(30 days)
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