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>
71 lines
2.4 KiB
GDScript
71 lines
2.4 KiB
GDScript
extends GutTest
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## Tests du validateur de schema generique (scripts/data/schema_validator.gd),
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## independants de tout contenu reel de data/.
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var schema: Dictionary = {
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"type": "object",
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"required": ["id", "level"],
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"additionalProperties": false,
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"properties":
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{
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"id": {"type": "string", "pattern": "^[a-z][a-z0-9_]*$"},
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"level": {"type": "string", "enum": ["CE1", "CE2"]},
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"difficulty": {"type": "integer", "minimum": 1, "maximum": 3},
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"tags": {"type": "array", "minItems": 1, "items": {"type": "string"}},
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},
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}
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func test_valid_object_has_no_errors() -> void:
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var data := {"id": "ex_01", "level": "CE1", "difficulty": 2, "tags": ["pluriel"]}
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assert_eq(SchemaValidator.validate(data, schema), [])
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func test_missing_required_property_is_reported() -> void:
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var data := {"level": "CE1"}
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var errors := SchemaValidator.validate(data, schema)
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assert_eq(errors.size(), 1)
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assert_string_contains(errors[0], "id")
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func test_wrong_type_is_reported() -> void:
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var data := {"id": "ex_01", "level": "CE1", "difficulty": "deux"}
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var errors := SchemaValidator.validate(data, schema)
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assert_eq(errors.size(), 1)
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assert_string_contains(errors[0], "difficulty")
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func test_enum_violation_is_reported() -> void:
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var data := {"id": "ex_01", "level": "CM1"}
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var errors := SchemaValidator.validate(data, schema)
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assert_eq(errors.size(), 1)
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assert_string_contains(errors[0], "level")
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func test_pattern_violation_is_reported() -> void:
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var data := {"id": "Ex-01", "level": "CE1"}
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var errors := SchemaValidator.validate(data, schema)
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assert_eq(errors.size(), 1)
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assert_string_contains(errors[0], "id")
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func test_unexpected_property_is_reported_when_additional_forbidden() -> void:
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var data := {"id": "ex_01", "level": "CE1", "extra": true}
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var errors := SchemaValidator.validate(data, schema)
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assert_eq(errors.size(), 1)
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assert_string_contains(errors[0], "extra")
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func test_min_items_violation_is_reported() -> void:
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var data := {"id": "ex_01", "level": "CE1", "tags": []}
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var errors := SchemaValidator.validate(data, schema)
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assert_eq(errors.size(), 1)
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assert_string_contains(errors[0], "tags")
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func test_numeric_bounds_are_checked() -> void:
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var data := {"id": "ex_01", "level": "CE1", "difficulty": 9}
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var errors := SchemaValidator.validate(data, schema)
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assert_eq(errors.size(), 1)
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assert_string_contains(errors[0], "difficulty")
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