Rtw

C 69 completed
Other
unknown / scala · tiny
36
Files
613
LOC
0
Frameworks
4
Languages

Pipeline State

completed
Run ID
#1536729
Phase
done
Progress
0%
Started
2026-04-16 17:33:19
Finished
2026-04-16 17:33:19
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
21.44
Framework unique
Isolation
Last stage change
2026-05-10 03:35:10
Deduplication group #52856
Member of a group with 35 similar repo(s) — canonical #1539263 view group →
Repobility · severity-and-effort ranking · https://repobility.com

AI Prompt

Create a Scala library, similar to the RTW concept, designed for building data pipelines in architectures that separate read and write databases, like Amazon RDS clusters. The library should enforce distinct stages for reading, transforming, and writing data. I need methods like `onReadStage`, `onTransformStage`, and `onWriteStage` within a main pipeline trait. The goal is to make the operation context—read-only, write, or no DB connection—visible in the code structure. Please include examples showing how to chain these stages together to process data.
scala library data-pipeline database read-write architecture functional
Generated by gemma4:latest

Catalog Information

Create a Scala library, similar to the RTW concept, designed for building data pipelines in architectures that separate read and write databases, like Amazon RDS clusters. The library should enforce distinct stages for reading, transforming, and writing data. I need methods like onReadStage, onTransformStage, and onWriteStage within a main pipeline trait. The goal is to make the operation context—read-only, write, or no DB connection—visible in the code structure. Please include examples s

Tags

scala library data-pipeline database read-write architecture functional

Quality Score

C
69.1/100
Structure
63
Code Quality
90
Documentation
65
Testing
15
Practices
80
Security
100
Dependencies
50

Strengths

  • CI/CD pipeline configured (github_actions)
  • Consistent naming conventions (PascalCase)
  • Low average code complexity — well-structured code
  • Good security practices — no major issues detected
  • Properly licensed project

Weaknesses

  • No tests found — high risk of regressions

Recommendations

  • Add a test suite — start with critical path integration tests
  • Add a linter configuration to enforce code style consistency

Languages

scala
67.3%
markdown
19.8%
json
7.9%
yaml
5.0%

Frameworks

None detected

Quality Timeline

1 quality score recorded.

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