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>
72 lines
3.1 KiB
GDScript
72 lines
3.1 KiB
GDScript
class_name ProgressUpdates
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extends RefCounted
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## Fonctions pures qui appliquent une tentative d'exercice ou un debut de
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## seance a une sauvegarde (dictionnaire conforme a save.schema.json), en
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## s'appuyant sur ReviewScheduler et DifficultyManager (scripts/pedagogy/).
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## ProgressManager (autoload) est seul responsable d'appeler ces fonctions et
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## de persister le resultat via SaveManager ; l'ecriture sur disque reste
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## groupee en fin de mission (docs/specs/decisions.md, point 7).
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## attempt : {"skill": String, "success": bool, "hint_used": bool,
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## "exercise_type": String}.
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static func record_attempt(save_data: Dictionary, attempt: Dictionary) -> Dictionary:
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var updated: Dictionary = save_data.duplicate(true)
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var skills: Dictionary = updated["skills"]
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var skill_id: String = attempt["skill"]
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var skill_state: Dictionary = (
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skills[skill_id] if skills.has(skill_id) else ReviewScheduler.initial_state()
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)
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var current_session: int = updated["session_count"]
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skills[skill_id] = ReviewScheduler.record_attempt(skill_state, attempt, current_session)
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updated["skills"] = skills
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return updated
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## A appeler une fois en debut de seance, avant toute tentative : incremente
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## session_count et bascule en "a_reviser" les competences "acquise" dont le
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## delai de revision est depasse sans nouvelle pratique.
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static func start_session(save_data: Dictionary) -> Dictionary:
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var updated: Dictionary = save_data.duplicate(true)
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updated["session_count"] = int(updated["session_count"]) + 1
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var current_session: int = updated["session_count"]
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var skills: Dictionary = updated["skills"]
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var updated_skills: Dictionary = {}
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for skill_id: String in skills:
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updated_skills[skill_id] = ReviewScheduler.mark_overdue_as_review(
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skills[skill_id], current_session
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)
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updated["skills"] = updated_skills
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return updated
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static func next_difficulty_for_skill(
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save_data: Dictionary, skill_id: String, current_difficulty: int
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) -> int:
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var skills: Dictionary = save_data["skills"]
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if not skills.has(skill_id):
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return current_difficulty
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var recent: Array[bool] = skills[skill_id]["recent_results"]
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return DifficultyManager.next_difficulty(current_difficulty, recent)
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static func unlock_region(save_data: Dictionary, region_id: String) -> Dictionary:
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var updated: Dictionary = save_data.duplicate(true)
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var regions: Array = updated["unlocked_regions"]
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if not regions.has(region_id):
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regions.append(region_id)
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updated["unlocked_regions"] = regions
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return updated
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## Les recompenses valorisent l'effort et la progression, jamais la vitesse
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## (cahier des charges §2, principe 6) : un nombre fixe d'etoiles par mission
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## terminee, quel que soit le temps pris ou le nombre d'aides utilisees.
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static func add_stars(save_data: Dictionary, amount: int) -> Dictionary:
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var updated: Dictionary = save_data.duplicate(true)
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var rewards: Dictionary = updated["rewards"].duplicate(true)
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rewards["stars"] = int(rewards["stars"]) + amount
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updated["rewards"] = rewards
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return updated
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