Files
aventuriers-des-mots/scripts/data/validate_data_cli.gd
T
Denis Defolie 65a0cb46f9 Add mission scoring, rewards collection and save schema v2
Phase "score et récompenses" of the post-0.1.0 plan (user feedback:
wants a more game-like experience with scoring and rewards).

- MissionScoring: 1-3 stars from how each exercise was solved (never
  speed; a finished mission always gives at least one star).
- Save schema v2: mission_results (best/last stars, completions) with a
  v1->v2 migration that keeps existing stars and items.
- Total only grows by the improvement over a mission's best score.
- Data-driven collection (data/rewards, reward_item schema, validated
  incl. mission cross-check) unlocked by RewardRules.
- Reward screen, collection screen, stars on the world map.
- Version 0.2.0.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-10-11 22:20:59 +02:00

120 lines
5.0 KiB
GDScript

extends SceneTree
## Outil headless invoque par `make validate-data`.
## Valide chaque fichier JSON de data/ contre son schema (data/schemas/), puis
## applique les contraintes croisees que le schema ne peut pas exprimer.
func _init() -> void:
var failures: Array[String] = []
var checked := 0
checked += _validate_simple_dir("res://data/rules", "rule", failures)
checked += _validate_simple_dir("res://data/curriculum", "curriculum", failures)
checked += _validate_dictations("res://data/dictations", failures)
checked += _validate_exercises("res://data/exercises", failures)
checked += _validate_missions("res://data/missions", failures)
checked += _validate_rewards("res://data/rewards", failures)
checked += _validate_simple_dir("res://data/localization", "localization", failures)
if failures.is_empty():
print("validate-data : %d fichier(s) JSON valide(s)" % checked)
quit(0)
else:
for failure in failures:
printerr(failure)
printerr("validate-data : %d erreur(s)" % failures.size())
quit(1)
func _validate_simple_dir(dir_path: String, schema_name: String, failures: Array[String]) -> int:
var count := 0
for path in DataLoader.find_json_files(dir_path):
count += 1
failures.append_array(DataLoader.validate_file(path, schema_name))
return count
func _validate_dictations(dir_path: String, failures: Array[String]) -> int:
var count := 0
for path in DataLoader.find_json_files(dir_path):
count += 1
var schema_errors := DataLoader.validate_file(path, "dictation")
failures.append_array(schema_errors)
if schema_errors.is_empty():
var data: Dictionary = DataLoader.read_json(path)
failures.append_array(SemanticChecks.check_dictation(data, path))
return count
func _validate_missions(dir_path: String, failures: Array[String]) -> int:
var known_rule_ids: Array[String] = []
for path in DataLoader.find_json_files("res://data/rules"):
var rule: Variant = DataLoader.read_json(path)
if typeof(rule) == TYPE_DICTIONARY and rule.has("rule_id"):
known_rule_ids.append(rule["rule_id"])
var count := 0
for path in DataLoader.find_json_files(dir_path):
count += 1
var schema_errors := DataLoader.validate_file(path, "mission")
failures.append_array(schema_errors)
if not schema_errors.is_empty():
continue
var data: Dictionary = DataLoader.read_json(path)
if not known_rule_ids.has(data["rule_id"]):
var message := (
"%s : rule_id '%s' ne correspond a aucune regle de data/rules"
% [path, data["rule_id"]]
)
failures.append(message)
return count
func _validate_exercises(dir_path: String, failures: Array[String]) -> int:
var count := 0
for path in DataLoader.find_json_files(dir_path):
count += 1
var data: Variant = DataLoader.read_json(path)
if data == null or typeof(data) != TYPE_DICTIONARY or not data.has("type"):
failures.append("%s : champ 'type' manquant ou JSON invalide" % path)
continue
var exercise_type: String = data["type"]
var schema_name := DataLoader.exercise_schema_name_for_type(exercise_type)
if schema_name.is_empty():
failures.append("%s : type d'exercice inconnu '%s'" % [path, exercise_type])
continue
var schema_errors := DataLoader.validate_file(path, schema_name)
failures.append_array(schema_errors)
if not schema_errors.is_empty():
continue
match exercise_type:
"multiple_choice":
failures.append_array(SemanticChecks.check_multiple_choice(data, path))
"sentence_correction":
failures.append_array(SemanticChecks.check_sentence_correction(data, path))
return count
func _validate_rewards(dir_path: String, failures: Array[String]) -> int:
var known_mission_ids: Array[String] = []
for path in DataLoader.find_json_files("res://data/missions"):
var mission: Variant = DataLoader.read_json(path)
if typeof(mission) == TYPE_DICTIONARY and mission.has("mission_id"):
known_mission_ids.append(mission["mission_id"])
var count := 0
for path in DataLoader.find_json_files(dir_path):
count += 1
var schema_errors := DataLoader.validate_file(path, "reward_item")
failures.append_array(schema_errors)
if not schema_errors.is_empty():
continue
var data: Dictionary = DataLoader.read_json(path)
failures.append_array(SemanticChecks.check_reward_item(data, path))
var mission_id: String = data["unlock"].get("mission_id", "")
if not mission_id.is_empty() and not known_mission_ids.has(mission_id):
failures.append(
"%s : mission_id '%s' ne correspond a aucune mission" % [path, mission_id]
)
return count