mirror of
https://github.com/deunix-educ/aventuriers-des-mots.git
synced 2026-10-13 02:11:58 +02:00
Denis Defolie
d057c8ee77
Introduces a generic JSON-Schema-subset validator in GDScript (scripts/data/schema_validator.gd) used both by `make validate-data` and, later, by ExerciseEngine at load time, plus semantic_checks.gd for cross-field constraints a schema can't express (answer index bounds, at least one faulty token in sentence correction, word count matching between a dictation's target_text and its annotations). Schemas cover rule, exercise (dispatched per type: multiple_choice, sentence_correction), dictation, curriculum, and save (save.schema.json is not yet wired into validate-data; saves live in user://, handled at the Profiles/Saves step). First draft content for the CE1 "accord_adjectif" rule (one rule, two multiple-choice exercises, one sentence correction, one dictation, one curriculum entry) exercises the full pipeline end to end and seeds docs/review/content-review.md, regenerated by the new tools/generate_content_review.py (`make content-review`). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
46 lines
1.7 KiB
GDScript
46 lines
1.7 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": [
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{ "text": "Les" }, { "text": "petits" }, { "text": "chats" }, { "text": "dorment." }
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],
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}
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assert_eq(SemanticChecks.check_dictation(data, "test"), [])
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