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Add JSON schemas, data validator, and first CE1 content
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>
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class_name SchemaValidator
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extends RefCounted
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## Validateur de donnees contre un sous-ensemble de JSON Schema : type, required,
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## properties, additionalProperties, items, enum, const, minimum, maximum,
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## minItems, maxItems, minLength, maxLength, pattern.
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## Les schemas ne decrivent jamais de code a executer : seulement une structure
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## de donnees a verifier (voir l'invariant d'architecture dans CLAUDE.md).
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static func validate(value: Variant, schema: Dictionary, path: String = "$") -> Array[String]:
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var errors: Array[String] = []
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_validate_node(value, schema, path, errors)
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return errors
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static func _validate_node(
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value: Variant, schema: Dictionary, path: String, errors: Array[String]
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) -> void:
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if schema.has("const"):
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if value != schema["const"]:
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errors.append("%s : doit valoir exactement %s" % [path, schema["const"]])
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return
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if schema.has("enum"):
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var allowed: Array = schema["enum"]
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if not allowed.has(value):
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errors.append("%s : valeur '%s' absente de l'enum %s" % [path, value, allowed])
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return
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if schema.has("type"):
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if not _check_type(value, schema["type"]):
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errors.append(
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"%s : type attendu '%s', trouve '%s'" % [path, schema["type"], typeof(value)]
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)
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return
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match typeof(value):
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TYPE_DICTIONARY:
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_validate_object(value, schema, path, errors)
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TYPE_ARRAY:
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_validate_array(value, schema, path, errors)
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TYPE_STRING:
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_validate_string(value, schema, path, errors)
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TYPE_INT, TYPE_FLOAT:
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_validate_number(value, schema, path, errors)
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static func _check_type(value: Variant, expected: String) -> bool:
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match expected:
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"object":
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return typeof(value) == TYPE_DICTIONARY
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"array":
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return typeof(value) == TYPE_ARRAY
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"string":
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return typeof(value) == TYPE_STRING
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"boolean":
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return typeof(value) == TYPE_BOOL
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"integer":
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if typeof(value) == TYPE_INT:
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return true
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if typeof(value) == TYPE_FLOAT:
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var number: float = value
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return number == floor(number)
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return false
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"number":
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return typeof(value) == TYPE_INT or typeof(value) == TYPE_FLOAT
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_:
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return true
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static func _validate_object(
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value: Dictionary, schema: Dictionary, path: String, errors: Array[String]
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) -> void:
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if schema.has("required"):
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for key: String in schema["required"]:
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if not value.has(key):
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errors.append("%s : propriete requise manquante '%s'" % [path, key])
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var properties: Dictionary = schema.get("properties", {})
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var additional_allowed: Variant = schema.get("additionalProperties", true)
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for key: String in value.keys():
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if properties.has(key):
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_validate_node(value[key], properties[key], "%s.%s" % [path, key], errors)
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elif additional_allowed == false:
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errors.append("%s : propriete inattendue '%s'" % [path, key])
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static func _validate_array(
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value: Array, schema: Dictionary, path: String, errors: Array[String]
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) -> void:
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if schema.has("minItems") and value.size() < int(schema["minItems"]):
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errors.append("%s : au moins %d element(s) attendu(s)" % [path, schema["minItems"]])
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if schema.has("maxItems") and value.size() > int(schema["maxItems"]):
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errors.append("%s : au plus %d element(s) attendu(s)" % [path, schema["maxItems"]])
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if schema.has("items"):
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var item_schema: Dictionary = schema["items"]
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for i in value.size():
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_validate_node(value[i], item_schema, "%s[%d]" % [path, i], errors)
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static func _validate_string(
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value: String, schema: Dictionary, path: String, errors: Array[String]
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) -> void:
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if schema.has("minLength") and value.length() < int(schema["minLength"]):
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errors.append("%s : longueur minimale %d non atteinte" % [path, schema["minLength"]])
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if schema.has("maxLength") and value.length() > int(schema["maxLength"]):
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errors.append("%s : longueur maximale %d depassee" % [path, schema["maxLength"]])
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if schema.has("pattern"):
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var regex := RegEx.new()
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regex.compile(schema["pattern"])
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if regex.search(value) == null:
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errors.append("%s : ne correspond pas au motif '%s'" % [path, schema["pattern"]])
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static func _validate_number(
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value: Variant, schema: Dictionary, path: String, errors: Array[String]
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) -> void:
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var number: float = value
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if schema.has("minimum") and number < float(schema["minimum"]):
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errors.append("%s : doit etre >= %s" % [path, schema["minimum"]])
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if schema.has("maximum") and number > float(schema["maximum"]):
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errors.append("%s : doit etre <= %s" % [path, schema["maximum"]])
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