daniel156161
a2414f0b3d
Build and Push Docker Container / build-and-push (push) Successful in 2m18s
- Register Zenith 1.1 with balanced duel verdicts and forced-outcome overrides. - Prioritize permanent-trail space in Constrictor and health-aware hazard routes. - Deduct executor queue delays and return fallback directions on move timeouts. - Correlate response headers, replay timings, and sampled structured trace logs. - Move shared metrics publication off the response path without losing local counts. - Allow configurable tournament opponents and add a psql helper recipe. - Preserve empty latency values through compact replay encoding and migration. - Update Arena game links and use default assets for missing customizations. - Cover strategy, HTTP lifecycle, tracing, replay codecs, and dashboard behavior. - Validate with 260 passing Python tests, 4 skips, and 2 passing JavaScript tests.
85 lines
3.2 KiB
Python
85 lines
3.2 KiB
Python
import unittest
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from time import perf_counter
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from snakes import SnakeBuilder, get_snake_version
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from snakes.strategies.prism import PrismBattleSnake_GPT_5_6_Sol
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from snakes.strategies.zenith import ZenithBattleSnake_ClaudeOpus5_5
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LOSS = -100_000.0
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WIN = 100_000.0
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class TestZenithRegistration(unittest.TestCase):
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def test_api_name_and_version_are_exposed(self):
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snake = ZenithBattleSnake_ClaudeOpus5_5()
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self.assertEqual(snake.name, "ZenithBattleSnake")
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self.assertEqual(snake.version, "1.1.0")
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self.assertEqual(get_snake_version("ZenithBattleSnake_ClaudeOpus5_5"), "1.1.0")
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self.assertIsInstance(snake, PrismBattleSnake_GPT_5_6_Sol)
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self.assertIsInstance(
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SnakeBuilder.build("ZenithBattleSnake_ClaudeOpus5_5"),
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ZenithBattleSnake_ClaudeOpus5_5,
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)
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class TestZenithVerdicts(unittest.TestCase):
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def test_proven_loss_is_vetoed_for_best_surviving_heuristic(self):
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scores = {"up": 300.0, "left": 120.0, "right": 90.0}
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verdicts = {"up": (LOSS, 3), "left": (-40.0, 3), "right": (25.0, 3)}
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self.assertEqual(ZenithBattleSnake_ClaudeOpus5_5._apply_verdicts("up", scores, verdicts), "left")
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def test_proven_win_overrides_heuristic(self):
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scores = {"up": 300.0, "left": 120.0}
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verdicts = {"up": (15.0, 2), "left": (WIN, 2)}
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self.assertEqual(ZenithBattleSnake_ClaudeOpus5_5._apply_verdicts("up", scores, verdicts), "left")
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def test_keeps_choice_when_every_move_loses(self):
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scores = {"up": 300.0, "left": 120.0}
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verdicts = {"up": (LOSS, 2), "left": (LOSS - 1, 2)}
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self.assertEqual(ZenithBattleSnake_ClaudeOpus5_5._apply_verdicts("up", scores, verdicts), "up")
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def test_keeps_choice_without_verdict(self):
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scores = {"up": 300.0, "left": 120.0}
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self.assertEqual(ZenithBattleSnake_ClaudeOpus5_5._apply_verdicts("up", scores, {}), "up")
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def test_verdict_search_resolves_every_candidate(self):
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snake = ZenithBattleSnake_ClaudeOpus5_5()
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# Longer enemy can also reach (2, 5): stepping there loses the head-to-head.
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my_body = [{"x": 1, "y": 5}, {"x": 0, "y": 5}]
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enemy = {"body": [{"x": 3, "y": 5}, {"x": 4, "y": 5}, {"x": 5, "y": 5}], "health": 100}
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safe_moves = {"up": {"x": 1, "y": 6}, "right": {"x": 2, "y": 5}}
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verdicts = snake._duel_verdicts(
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safe_moves=safe_moves, my_body=my_body, enemy=enemy, my_health=100,
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food_set=set(), hazard_set=set(), hazard_damage=15, hazard_count={},
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previous_hazard_set=set(), width=11, height=11,
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deadline=perf_counter() + 1.0,
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)
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self.assertEqual(set(verdicts), {"up", "right"})
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self.assertLessEqual(verdicts["right"][0], LOSS / 2)
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self.assertGreater(verdicts["up"][0], LOSS / 2)
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self.assertEqual(
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snake._apply_verdicts("right", {"right": 50.0, "up": 10.0}, verdicts), "up",
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)
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def test_verdict_search_stops_when_out_of_time(self):
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snake = ZenithBattleSnake_ClaudeOpus5_5()
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verdicts = snake._duel_verdicts(
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safe_moves={"up": {"x": 0, "y": 2}}, my_body=[{"x": 0, "y": 1}],
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enemy={"body": [{"x": 4, "y": 4}]}, my_health=100,
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food_set=set(), hazard_set=set(), hazard_damage=15, hazard_count={},
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previous_hazard_set=set(), width=5, height=5,
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deadline=perf_counter() - 0.001,
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)
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self.assertEqual(verdicts, {})
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if __name__ == "__main__":
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unittest.main()
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