mirror of
https://github.com/deunix-educ/aventuriers-des-mots.git
synced 2026-10-13 10:21:58 +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>
26 lines
933 B
GDScript
26 lines
933 B
GDScript
class_name ExercisePicker
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extends RefCounted
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## Choisit un exercice parmi une liste de candidats, sans jamais redonner celui
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## qui vient d'etre traite ("Points durs" du prompt de lancement : une revision
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## tire un autre exercice de la meme regle, jamais celui qui vient d'etre
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## rate). Code pur : le generateur aleatoire est injecte, jamais lu
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## directement.
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## Retourne null si `candidates` est vide. Si tous les candidats sont exclus
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## (un seul exercice disponible), le redonne : pas d'autre choix possible.
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static func pick(
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candidates: Array[Dictionary], exclude_id: String, rng: RandomNumberGenerator
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) -> Variant:
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if candidates.is_empty():
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return null
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var pool: Array[Dictionary] = []
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for candidate in candidates:
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if candidate["id"] != exclude_id:
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pool.append(candidate)
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if pool.is_empty():
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pool = candidates
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return pool[rng.randi_range(0, pool.size() - 1)]
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