Auto-generate score: [Score Agent] Add BMI

[nckhell]

PR Type

• Enhancement
• Tests
• Documentation

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Description

• Add BMI score calculation logic.

• Define BMI input and output schemas.

• Include tests for input validation and calculation.

• Provide documentation for BMI usage.

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Changes walkthrough 📝

	Relevant files
Tests	1 files bmi.test.ts Add tests for BMI calculation and validations.                      +61/-0
Enhancement	4 files bmi.ts Implement BMI calculation method.                                                +14/-0    bmi_inputs.ts Define BMI input schema with weight and height.                    +15/-0    bmi_output.ts Define BMI output schema for score.                                            +10/-0    index.ts Refactor BMI module export.                                                            +1/-2
Other	1 files bmi_subscales.ts Add BMI subscales placeholder.                                                      +1/-0
Documentation	1 files README.md Add documentation for BMI score.                                                  +18/-0

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[github-actions]

PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

⏱️ Estimated effort to review: 2 🔵🔵⚪⚪⚪

🧪 PR contains tests

🔒 No security concerns identified

⚡ Recommended focus areas for review Precision The BMI calculation returns a floating point result that is directly compared to 24.22 in the test, which might lead to precision issues across different environments. Consider explicitly rounding the result or using a tolerance in the test. calculate: ({ data }) => { return { bmi: data.weight / ((data.height / 100) ** 2), }

[github-actions]

PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Impact
Possible issue	Use tolerant float comparison Replace the strict equality check with a floating-point tolerant comparison to handle precision discrepancies. src/scores/bmi/bmi.test.ts [57] -expect(outcome.bmi).toEqual(24.22) +expect(outcome.bmi).toBeCloseTo(24.22, 2) Suggestion importance[1-10]: 7 __ Why: The suggestion improves the test's accuracy against floating-point precision issues by using a tolerant comparison. It is a relevant and correct improvement, though its impact is moderate given the context.	Medium