QA-01: Unit Test Coverage for Grade Derivation Logic

[jpdevhub]

Task Description

The _derive_grade utility in main.py handles critical business logic. We need to ensure 100% branch coverage to prevent regressions in scoring.

Context and Background

Target: main._derive_grade
Location: tests/test_ci.py
Test Suite: Use pytest with @pytest.mark.parametrize for edge cases.

Acceptance Criteria

Boundary values (e.g., exactly 90% for an 'A').
Type handling (ensure ValueError is raised for non-numeric inputs).
Negative/Over-scale inputs (input > 100 or < 0).

Hints

No response

[BHOGALA-SRIKA]

Hi! I'm an SSoC Season 5 contributor. I'd like to work on this issue. My approach: I'll write pytest parametrize test cases covering boundary values, type validation, and out-of-range inputs for the _derive_grade function. Can I be assigned?

[arya2807]

I'd like to work on this for SSoC Season 5.

Here's my detailed roadmap

Roadmap (4 days):

Day 1:
Locate _derive_grade in backend/main.py, understand current boundaries (90=A,80=B,70=C,60=D,<60=F), setup pytest

Day 2 - Write 27+ parametrized tests:

• Boundary: 90, 89.99, 80, 79.99, 70, 69.99, 60, 59.99 (14 tests)
• Type validation: None, "string", [90], {"score":85} → ValueError (5 tests)
• Out of range: 101, 150, -1, -50 → ValueError (4 tests)
• Float precision: 0.0, 100.0, 0.0001, 99.9999 (4 tests)

Day 3:
Run pytest --cov=main --cov-report=term-missing, ensure 100% branch coverage

Day 4:
Submit PR with coverage screenshot

I'm ready to start immediately upon assignment. Looking forward to contributing toF reshScanAi!

Thanks.

[jpdevhub]

@BHOGALA-SRIKA go ahead