mirror of
https://github.com/deunix-educ/aventuriers-des-mots.git
synced 2026-10-13 02:11:58 +02:00
Denis Defolie
2fe455f5d1
scripts/correction/: AnswerValidator (multiple choice, sentence correction via tap-the-faulty-word + retype) and DictationAnalyzer build the CorrectionResult structure from cahier des charges §6. Dictation analysis aligns words with WordAligner (Wagner-Fischer edit distance) before any character comparison, so an omitted or added word doesn't cascade into false errors on every following word. TextNormalizer handles non-breaking spaces, typographic apostrophes, and decomposed-vs-composed French accented characters via an explicit table (GDScript has no built-in NFC/NFD normalization). Error classification follows the data annotations only (rule_id present -> grammatical, absent -> unclassified), never a runtime linguistic guess. scripts/pedagogy/: DifficultyManager (per-skill difficulty from recent results), AttemptFlow (3-attempt graduated aid: hint, then explanation, then reveal, matching exercise-lifecycle.md's second gap), and ReviewScheduler (the five mastery states from §9, with session-counted spaced review intervals [1, 3, 6, 12] rather than wall-clock dates, since a family device's clock isn't trustworthy). All of it is pure: no scene tree, no clock or RNG read directly, every effectful input (session number, attempt outcome) is a parameter. 65 headless tests across both layers, including the word-omission-doesn't-cascade regression and the full decouverte -> acquise -> a_reviser -> acquise path. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
44 lines
1.6 KiB
GDScript
44 lines
1.6 KiB
GDScript
extends GutTest
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## Tests des contraintes croisees (scripts/data/semantic_checks.gd).
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func test_multiple_choice_rejects_out_of_bounds_correct_answer() -> void:
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var data := {"answers": ["a", "b"], "correct_answer": 5}
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var errors := SemanticChecks.check_multiple_choice(data, "test")
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assert_eq(errors.size(), 1)
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func test_multiple_choice_accepts_valid_index() -> void:
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var data := {"answers": ["a", "b"], "correct_answer": 1}
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assert_eq(SemanticChecks.check_multiple_choice(data, "test"), [])
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func test_sentence_correction_requires_at_least_one_error_token() -> void:
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var data := {"tokens": [{"text": "Les", "correct": true}]}
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var errors := SemanticChecks.check_sentence_correction(data, "test")
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assert_eq(errors.size(), 1)
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func test_sentence_correction_requires_expected_on_error_tokens() -> void:
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var data := {"tokens": [{"text": "petit", "correct": false}]}
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var errors := SemanticChecks.check_sentence_correction(data, "test")
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assert_eq(errors.size(), 1)
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assert_string_contains(errors[0], "expected")
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func test_dictation_word_count_must_match_target_text() -> void:
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var data := {
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"target_text": "Les petits chats dorment.",
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"words": [{"text": "Les"}, {"text": "petits"}],
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}
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var errors := SemanticChecks.check_dictation(data, "test")
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assert_eq(errors.size(), 1)
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func test_dictation_accepts_matching_word_count() -> void:
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var data := {
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"target_text": "Les petits chats dorment.",
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"words": [{"text": "Les"}, {"text": "petits"}, {"text": "chats"}, {"text": "dorment."}],
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}
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assert_eq(SemanticChecks.check_dictation(data, "test"), [])
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