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import os
import pytest
from katrain.core.ai import ai_rank_estimation, generate_ai_move
from katrain.core.base_katrain import KaTrainBase
from katrain.core.constants import AI_STRATEGIES, AI_STRATEGIES_RECOMMENDED_ORDER, AI_HUMAN, AI_PRO, OUTPUT_INFO
from katrain.core.engine import KataGoEngine
from katrain.core.game import Game
class TestAI:
def test_order(self):
assert set(AI_STRATEGIES_RECOMMENDED_ORDER) == set(AI_STRATEGIES)
@pytest.mark.skipif(os.environ.get("CI", "").lower() == "true", reason="GH actions has no OpenCL")
def test_ai_strategies(self):
katrain = KaTrainBase(force_package_config=True, debug_level=0)
engine = KataGoEngine(katrain, katrain.config("engine"))
game = Game(katrain, engine)
n_rounds = 3
for _ in range(n_rounds):
for strategy in AI_STRATEGIES:
if strategy in [AI_HUMAN, AI_PRO]:
continue
settings = katrain.config(f"ai/{strategy}")
move, played_node = generate_ai_move(game, strategy, settings)
katrain.log(f"Testing strategy {strategy} -> {move}", OUTPUT_INFO)
assert move.coords is not None
assert played_node == game.current_node
assert game.current_node.depth == (len(AI_STRATEGIES) - 2) * n_rounds
for strategy in AI_STRATEGIES:
if strategy in [AI_HUMAN, AI_PRO]:
continue
game = Game(katrain, engine)
settings = katrain.config(f"ai/{strategy}")
move, played_node = generate_ai_move(game, strategy, settings)
katrain.log(f"Testing strategy on first move {strategy} -> {move}", OUTPUT_INFO)
assert game.current_node.depth == 1
def test_ai_rank_estimation(self):
katrain = KaTrainBase(force_package_config=True, debug_level=0)
for strategy in AI_STRATEGIES:
if strategy in [AI_HUMAN, AI_PRO]:
continue
settings = katrain.config(f"ai/{strategy}")
rank = ai_rank_estimation(strategy, settings)
assert -20 <= rank <= 9
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