mirror of
https://github.com/deunix-educ/aventuriers-des-mots.git
synced 2026-10-13 02:11:58 +02:00
Denis Defolie
493a8617d7
Wires every autoload up to a real UI: boot -> profile select/create -> world map (three mission markers, positioned from data, not hardcoded pixels) -> mission intro (narrative from data/missions/, a new data type with its own schema) -> rule panel -> exercise host -> one of the three exercise type scenes -> feedback panel -> reward screen -> back to the map. exercise_host is the only piece with real orchestration logic: picks exercises via ExerciseEngine (now fully implemented, validating at load like make validate-data does), validates answers through the pure AnswerValidator/DictationAnalyzer, escalates aid over 3 attempts via AttemptFlow, feeds DifficultyManager so adaptive difficulty is actually wired in rather than dead code, and records every attempt through ProgressManager. Every exercise-type scene (multiple_choice, sentence_correction, dictation) only emits its answer by signal, per the architecture invariant. All child-facing text now comes from data/localization/fr.json via UIText, not hardcoded in scripts or scenes. Getting that right required extending SchemaValidator to support "additionalProperties" as a schema (dynamic keys), which also closed a real gap: save.skills was previously unvalidated against SkillState's actual shape. 16 new headless tests, including two integration tests that instance exercise_host.tscn directly and drive it by emitting child-scene signals, stopping short of the final scene transition (which would tear down the test runner's own tree). Everything that needs a screen -- layout at different sizes, touch, virtual keyboard, actual audio playback (no .ogg files exist yet) -- is listed in the new docs/testing/manual-checklist.md instead of claimed as verified. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
34 lines
1.1 KiB
GDScript
34 lines
1.1 KiB
GDScript
extends GutTest
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## Tests de ExercisePicker.
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var rng := RandomNumberGenerator.new()
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func before_each() -> void:
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rng.seed = 42
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func test_empty_candidates_returns_null() -> void:
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var candidates: Array[Dictionary] = []
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assert_null(ExercisePicker.pick(candidates, "", rng))
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func test_picks_among_candidates() -> void:
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var candidates: Array[Dictionary] = [{"id": "a"}, {"id": "b"}, {"id": "c"}]
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var picked: Dictionary = ExercisePicker.pick(candidates, "", rng)
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var ids: Array = candidates.map(func(c: Dictionary) -> String: return c["id"])
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assert_true(ids.has(picked["id"]))
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func test_never_returns_the_excluded_id_when_alternatives_exist() -> void:
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var candidates: Array[Dictionary] = [{"id": "a"}, {"id": "b"}]
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for _i in 20:
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var picked: Dictionary = ExercisePicker.pick(candidates, "a", rng)
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assert_eq(picked["id"], "b")
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func test_returns_the_only_candidate_even_if_excluded() -> void:
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var candidates: Array[Dictionary] = [{"id": "a"}]
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var picked: Dictionary = ExercisePicker.pick(candidates, "a", rng)
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assert_eq(picked["id"], "a")
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