Python tools for F&B data, ingredient costs and repeatable checks.
| Project | What it does |
|---|---|
| F&B Menu Margin Kit | Costs recipes from purchase quantities and edible yields, then compares menu contributions, channel costs and sales plans. |
| Public Data Sentinel | Checks CSV, TSV and JSON inputs while preserving identifiers and source values. |
| JUnit Evidence Gate | Checks actual test cases and skip limits in JUnit reports. |
| JSON Repr Probe | Compares JSON representations and selected subtrees. |
The linked projects are maintained by @qorud02. Start with their README files for installation, examples and calculation rules.
Report a reproducible problem in the relevant project's issue tracker. Include a small input, expected output, actual output, Python version and operating system. Use synthetic data and remove personal or store records before sharing files. Follow that project's contribution guide when submitting a patch.
메뉴 원가와 판매 계획을 계산하고, 데이터와 테스트 결과를 직접 확인하는 Python 도구를 만듭니다. 각 프로젝트에서 설치 방법과 실행 예제를 확인할 수 있습니다. 오류 제보와 개선 제안은 해당 저장소의 Issues에서 받습니다.