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108 lines
3 KiB
Python
108 lines
3 KiB
Python
from quantum_learning.assessment import (
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evaluate_evidence_checklist,
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evaluate_feedback_loop,
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load_assessment_blueprint,
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score_named_rubric,
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)
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from quantum_learning.config import project_root
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def test_assessment_blueprint_loads_capstone_rubric():
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blueprint = load_assessment_blueprint()
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assert blueprint.title == "QuantumLearning Assessment Blueprint"
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assert len(blueprint.rubrics) >= 2
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assert blueprint.get_rubric("capstone_design_review").required_evidence
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def test_module_self_review_rubric_distinguishes_strong_and_weak_work():
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strong = score_named_rubric(
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"module_self_review",
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{
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"claim": 4,
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"evidence": 4,
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"risk": 3,
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"revision": 4,
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},
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)
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weak = score_named_rubric(
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"module_self_review",
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{
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"claim": 1,
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"evidence": 1,
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"risk": 0,
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"revision": 1,
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},
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)
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assert strong.passed
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assert strong.band in {"competent", "mastery-ready"}
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assert not weak.passed
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assert weak.band == "revision-needed"
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def test_feedback_loop_flags_missing_sections():
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report = evaluate_feedback_loop(
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{
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"claim": "The compiled candidate is better on this topology.",
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"evidence": "",
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"risk": "The noise model is still local and synthetic.",
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"next_step": "",
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}
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)
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assert not report.ready_for_review
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assert report.missing_sections == ("Evidence", "Next Step")
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def test_evidence_checklist_requires_all_items():
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report = evaluate_evidence_checklist(
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["Brief", "Evidence", "Risk"],
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{"Brief": True, "Evidence": False, "Risk": True},
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)
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assert not report.ready_for_review
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assert report.missing_items == ("Evidence",)
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def test_capstone_notebooks_reference_rubric_and_feedback_widgets():
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capstone_dir = project_root() / "notebooks" / "professional" / "module_04_capstone_design_review"
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lecture = (capstone_dir / "lecture.ipynb").read_text()
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studio = (capstone_dir / "studio.ipynb").read_text()
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assert "capstone_design_review" in studio
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assert "feedback_iteration_panel(" in lecture
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assert "evidence_checklist(" in studio
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def test_capstone_rubric_maps_to_intended_competence_dimensions():
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rubric = load_assessment_blueprint().get_rubric("capstone_design_review")
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assert [criterion.identifier for criterion in rubric.criteria] == [
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"brief",
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"candidates",
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"ideal",
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"hardware",
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"noise",
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"recommendation",
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"risk",
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]
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def test_capstone_rubric_rewards_complete_design_review_evidence():
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result = score_named_rubric(
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"capstone_design_review",
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{
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"brief": 4,
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"candidates": 4,
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"ideal": 4,
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"hardware": 4,
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"noise": 4,
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"recommendation": 4,
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"risk": 4,
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},
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)
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assert result.total_score == 28
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assert result.passed
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assert result.band == "mastery-ready"
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