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>
77 lines
2.8 KiB
GDScript
77 lines
2.8 KiB
GDScript
class_name DataLoader
|
|
extends RefCounted
|
|
## Charge et valide les fichiers JSON de data/ contre leurs schemas (data/schemas/).
|
|
## Meme code utilise par `make validate-data` (headless) et par ExerciseEngine a
|
|
## l'execution : une seule source de verite pour la validation (voir
|
|
## docs/specs/decisions.md, point 2).
|
|
|
|
const SCHEMA_DIR := "res://data/schemas"
|
|
|
|
static var _schema_cache: Dictionary = {}
|
|
|
|
|
|
## Mappe un type d'exercice (champ "type" des donnees) vers le nom de son schema.
|
|
## Chaine vide si le type n'est pas reconnu : la liste des types est fermee ici,
|
|
## pas devinee ailleurs.
|
|
static func exercise_schema_name_for_type(exercise_type: String) -> String:
|
|
match exercise_type:
|
|
"multiple_choice":
|
|
return "exercise_multiple_choice"
|
|
"sentence_correction":
|
|
return "exercise_sentence_correction"
|
|
_:
|
|
return ""
|
|
|
|
|
|
static func load_schema(schema_name: String) -> Dictionary:
|
|
if _schema_cache.has(schema_name):
|
|
return _schema_cache[schema_name]
|
|
var path := "%s/%s.schema.json" % [SCHEMA_DIR, schema_name]
|
|
var file := FileAccess.open(path, FileAccess.READ)
|
|
if file == null:
|
|
push_error("Schema introuvable : %s" % path)
|
|
return {}
|
|
var parsed: Variant = JSON.parse_string(file.get_as_text())
|
|
var schema: Dictionary = parsed if typeof(parsed) == TYPE_DICTIONARY else {}
|
|
_schema_cache[schema_name] = schema
|
|
return schema
|
|
|
|
|
|
## Lit un fichier JSON et le valide contre le schema nomme. Retourne la liste des
|
|
## erreurs (vide si valide) ; ne retourne jamais les donnees analysees, pour que
|
|
## l'appelant ne puisse pas accidentellement utiliser une donnee non validee.
|
|
static func validate_file(path: String, schema_name: String) -> Array[String]:
|
|
var parsed: Variant = read_json(path)
|
|
if parsed == null:
|
|
return ["%s : lecture impossible ou JSON invalide" % path]
|
|
var schema := load_schema(schema_name)
|
|
return SchemaValidator.validate(parsed, schema, path)
|
|
|
|
|
|
static func read_json(path: String) -> Variant:
|
|
var file := FileAccess.open(path, FileAccess.READ)
|
|
if file == null:
|
|
return null
|
|
var text := file.get_as_text()
|
|
if text.strip_edges().is_empty():
|
|
return null
|
|
return JSON.parse_string(text)
|
|
|
|
|
|
static func find_json_files(root_path: String) -> Array[String]:
|
|
var result: Array[String] = []
|
|
var dir := DirAccess.open(root_path)
|
|
if dir == null:
|
|
return result
|
|
dir.list_dir_begin()
|
|
var entry := dir.get_next()
|
|
while entry != "":
|
|
if entry != "." and entry != "..":
|
|
var full_path := root_path.path_join(entry)
|
|
if dir.current_is_dir():
|
|
result.append_array(find_json_files(full_path))
|
|
elif entry.ends_with(".json"):
|
|
result.append(full_path)
|
|
entry = dir.get_next()
|
|
return result
|