Files
Forge-Engine/tests/test_ai_chat.py
T
williamandClaude Sonnet 5 559331f9cf
Build and deploy / test-python (push) Successful in 10m59s
Build and deploy / test-js (push) Successful in 1m27s
Build and deploy / build-and-push (push) Skipped
Build and deploy / deploy (push) Skipped
Enrichit les declencheurs/actions de scene (clic/survol/affichage, surbrillance/video/son/visibilite/indication/attendre) et fiabilise la pose d'un fond/decor importe
- Ajoute clic/survol/affichage-ecran comme declencheurs, et surbrillance,
  video, son, visibilite, indication, attendre comme actions, utilisables
  aussi bien par l'editeur manuel (menu lateral Objets/Ecran) que par
  Ruby (IA), avec blocs deplacables/supprimables dans une chaine.
- Corrige plusieurs variantes du bug "impossible de poser un objet hors
  du champ de la camera" (troncature du chainage d'actions a 4 maillons,
  fond importe pose a 128x128 au lieu de sa taille reelle, decalage du
  fond au vrai glisser-depose, redimensionnement manuel jamais propage
  au monde).
- Ajoute un vrai glisser-depose depuis la galerie vers la scene, la
  gestion complete de "Mes assets" (sous-sections Fonds/Decors/Sons/
  Videos, suppression, reclassement fond<->decor sans re-upload).
- Ajoute l'upload de son (limite 3 min) et de video (MP4 uniquement,
  limite 5 min), avec validation de la duree reelle du fichier, et une
  replique audio optionnelle dans une bulle de dialogue.
- Fixe la taille de pose d'un objet/decor importe a 200x200 avec une
  boite de collision de 150x150.
- Filtre le selecteur de fichier des actions son/video par type reel.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-09-12 00:28:46 +02:00

195 lines
9.2 KiB
Python

"""ai/chat.py — la boucle tool-use (voir plan Phase 2, §5). Jamais un
vrai appel à l'API Claude ici : client.messages.create est monkeypatché
par une fausse classe qui rejoue une séquence de réponses programmée."""
import ai
import db
import screens
def _create_jeu2d_game_with_conversation(client, tmp_game_slug_cleanup, name="pytest_ai_chat"):
resp = client.post("/games/new", data={"name": name}, follow_redirects=False)
slug = tmp_game_slug_cleanup(resp.headers["Location"].rstrip("/").split("/")[-1])
screen_id = screens.create_screen(slug, "Scène 1", kind="jeu_2d")
conversation_id = screens.create_ia_conversation(slug, screen_id)
return slug, screen_id, conversation_id
class _FakeBlock:
def __init__(self, type, text=None, id=None, name=None, input=None):
self.type = type
self.text = text
self.id = id
self.name = name
self.input = input or {}
class _FakeResponse:
def __init__(self, content, stop_reason):
self.content = content
self.stop_reason = stop_reason
class _FakeMessages:
def __init__(self, responses):
self._responses = list(responses)
self.call_count = 0
self.last_kwargs = None
def create(self, **kwargs):
self.call_count += 1
self.last_kwargs = kwargs
if len(self._responses) > 1:
return self._responses.pop(0)
return self._responses[0] # rejoue la dernière indéfiniment (voir test de la borne)
class _FakeClient:
def __init__(self, responses):
self.messages = _FakeMessages(responses)
def test_run_chat_turn_returns_text_directly_when_no_tool_is_used(client, tmp_game_slug_cleanup, monkeypatch):
slug, screen_id, conversation_id = _create_jeu2d_game_with_conversation(client, tmp_game_slug_cleanup)
fake_client = _FakeClient([_FakeResponse([_FakeBlock("text", text="Bonjour, que veux-tu créer ?")], "end_turn")])
monkeypatch.setattr("ai.chat.get_client", lambda: fake_client)
reply = ai.run_chat_turn(slug, screen_id, conversation_id, 1, "Salut")
assert reply == "Bonjour, que veux-tu créer ?"
assert fake_client.messages.call_count == 1
def test_run_chat_turn_dispatches_a_tool_call_then_returns_the_final_text(client, tmp_game_slug_cleanup, monkeypatch):
slug, screen_id, conversation_id = _create_jeu2d_game_with_conversation(client, tmp_game_slug_cleanup)
tool_use_response = _FakeResponse(
[_FakeBlock("tool_use", id="t1", name="create_global_variable", input={"name": "score_ia", "var_type": "nombre_entier"})],
"tool_use",
)
final_response = _FakeResponse([_FakeBlock("text", text="Variable créée.")], "end_turn")
fake_client = _FakeClient([tool_use_response, final_response])
monkeypatch.setattr("ai.chat.get_client", lambda: fake_client)
reply = ai.run_chat_turn(slug, screen_id, conversation_id, 1, "Crée une variable score_ia")
assert reply == "Variable créée."
names = [v["name"] for v in db.list_global_variables(slug)]
assert "score_ia" in names
def test_run_chat_turn_stops_after_the_max_iterations_even_if_claude_keeps_calling_tools(client, tmp_game_slug_cleanup, monkeypatch):
slug, screen_id, conversation_id = _create_jeu2d_game_with_conversation(client, tmp_game_slug_cleanup)
always_tool_use = _FakeResponse(
[_FakeBlock("tool_use", id="t1", name="create_global_variable", input={"name": "boucle_infinie"})],
"tool_use",
)
fake_client = _FakeClient([always_tool_use])
monkeypatch.setattr("ai.chat.get_client", lambda: fake_client)
reply = ai.run_chat_turn(slug, screen_id, conversation_id, 1, "Fais quelque chose")
assert fake_client.messages.call_count == ai.chat._MAX_TOOL_ITERATIONS
assert reply == "(pas de réponse textuelle)"
def test_run_chat_turn_explains_when_cut_short_by_max_tokens(client, tmp_game_slug_cleanup, monkeypatch):
"""Bug corrigé : max_tokens=4096 pouvait couper Claude EN PLEINE
RÉFLEXION sur une demande riche, avant le moindre appel d'outil —
symptôme observé : "(pas de réponse textuelle)" dès le premier tour,
aucune progression. Message désormais plus clair pour le créateur."""
slug, screen_id, conversation_id = _create_jeu2d_game_with_conversation(client, tmp_game_slug_cleanup)
cut_short = _FakeResponse([], "max_tokens") # aucun bloc texte, coupé en cours de réflexion
fake_client = _FakeClient([cut_short])
monkeypatch.setattr("ai.chat.get_client", lambda: fake_client)
reply = ai.run_chat_turn(slug, screen_id, conversation_id, 1, "Fais quelque chose de complexe")
assert "interrompue" in reply
assert fake_client.messages.call_count == 1 # stop_reason != "tool_use" -> sort dès le premier tour
def test_run_chat_turn_uses_a_generous_max_tokens_not_the_old_lowballed_value(client, tmp_game_slug_cleanup, monkeypatch):
slug, screen_id, conversation_id = _create_jeu2d_game_with_conversation(client, tmp_game_slug_cleanup)
fake_client = _FakeClient([_FakeResponse([_FakeBlock("text", text="ok")], "end_turn")])
monkeypatch.setattr("ai.chat.get_client", lambda: fake_client)
ai.run_chat_turn(slug, screen_id, conversation_id, 1, "Salut")
assert fake_client.messages.last_kwargs["max_tokens"] >= 16000
def test_run_chat_turn_raises_when_anthropic_is_not_configured(client, tmp_game_slug_cleanup):
slug, screen_id, conversation_id = _create_jeu2d_game_with_conversation(client, tmp_game_slug_cleanup)
try:
ai.run_chat_turn(slug, screen_id, conversation_id, 1, "Salut")
assert False, "devrait lever AnthropicNotConfiguredError"
except ai.AnthropicNotConfiguredError:
pass
# ---------- État de scène ré-injecté à chaque tour (bug corrigé : Ruby
# dupliquait des objets faute de voir ce qui existait déjà) ----------
def test_describe_scene_state_reports_dimensions_and_no_objects(client, tmp_game_slug_cleanup):
slug, screen_id, _ = _create_jeu2d_game_with_conversation(client, tmp_game_slug_cleanup)
description = ai.chat._describe_scene_state(slug, screen_id)
assert "0 à 960" in description and "0 à 540" in description
assert "Aucun objet" in description
def test_describe_scene_state_lists_existing_objects_with_role_and_trigger_flag(client, tmp_game_slug_cleanup):
slug, screen_id, _ = _create_jeu2d_game_with_conversation(client, tmp_game_slug_cleanup)
player_id = screens.add_scene_object(slug, screen_id, kind="personnage")
screens.set_scene_object_role(slug, player_id, "joueur")
pnj_id = screens.add_scene_object(slug, screen_id, kind="personnage")
screens.set_scene_object_collision_rules(slug, pnj_id, screens.sanitize_collision_rules([
{"trigger": "collision", "action": {"type": "dialogue", "dialogue": {"id": "d_1", "lines": []}}},
]))
description = ai.chat._describe_scene_state(slug, screen_id)
assert f"id={player_id}" in description
assert "rôle=joueur" in description
assert f"id={pnj_id}" in description
assert "rôle=pnj" in description
assert "[déclencheur déjà configuré]" in description
def test_describe_scene_state_reports_no_screen_trigger_by_default(client, tmp_game_slug_cleanup):
slug, screen_id, _ = _create_jeu2d_game_with_conversation(client, tmp_game_slug_cleanup)
description = ai.chat._describe_scene_state(slug, screen_id)
assert "Aucun déclencheur d'écran" in description
def test_describe_scene_state_reports_an_existing_screen_trigger(client, tmp_game_slug_cleanup):
slug, screen_id, _ = _create_jeu2d_game_with_conversation(client, tmp_game_slug_cleanup)
screens.set_screen_triggers(slug, screen_id, screens.sanitize_screen_triggers([
{"trigger": "affichage", "action": {"type": "dialogue"}},
]))
description = ai.chat._describe_scene_state(slug, screen_id)
assert "1 déclencheur(s) D'ÉCRAN" in description
def test_system_prompt_documents_the_new_triggers_and_actions():
"""Bug à éviter : ajouter un type de déclencheur/action côté moteur
(screens/rendering/collision_rules.py) sans jamais le documenter dans
le system prompt le rendrait invisible pour Ruby malgré l'outil qui
l'accepte techniquement."""
prompt = ai.chat._SYSTEM_PROMPT
for keyword in ("\"clic\"", "\"survol\"", "\"affichage\"", "surbrillance", "visibilite", "\"son\"", "\"video\"", "indication"):
assert keyword in prompt, keyword
def test_system_prompt_asks_ruby_to_clarify_ambiguous_trigger_choice():
assert "pose la question" in ai.chat._SYSTEM_PROMPT
def test_system_prompt_asks_ruby_to_clarify_interagir_vs_immediate_action():
assert "interagir" in ai.chat._SYSTEM_PROMPT
assert "APPUYER SUR UNE TOUCHE" in ai.chat._SYSTEM_PROMPT
def test_run_chat_turn_passes_the_scene_state_in_the_system_prompt(client, tmp_game_slug_cleanup, monkeypatch):
slug, screen_id, conversation_id = _create_jeu2d_game_with_conversation(client, tmp_game_slug_cleanup)
screens.add_scene_object(slug, screen_id, kind="personnage")
fake_client = _FakeClient([_FakeResponse([_FakeBlock("text", text="ok")], "end_turn")])
monkeypatch.setattr("ai.chat.get_client", lambda: fake_client)
ai.run_chat_turn(slug, screen_id, conversation_id, 1, "Salut")
system_prompt = fake_client.messages.last_kwargs["system"]
assert "0 à 960" in system_prompt and "0 à 540" in system_prompt
assert "1 objet(s)" in system_prompt