54 lines
1.9 KiB
Python
54 lines
1.9 KiB
Python
import unittest
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from pathlib import Path
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from PIL import Image
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from automation.arena import ArenaRunner
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from automation.engine import Matcher, Region, load_flow
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ROOT = Path(__file__).resolve().parent.parent
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class ArenaDesktop:
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def __init__(self, images):
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self.images = images
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self.index = 0
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self.clicks = []
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def screenshot(self):
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return self.images[min(self.index, len(self.images) - 1)]
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def click(self, point, region, size, hold=0.2):
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self.clicks.append((point, hold))
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self.index += 1
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class ArenaTests(unittest.TestCase):
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def setUp(self):
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self.flow = load_flow(ROOT / 'workflows/arena_points.json')
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self.matcher = Matcher(ROOT / 'assets')
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self.region = Region(0, 0, 562, 1002)
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def image(self, state):
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image = Image.new('RGB', (562, 1002), (62, 52, 35))
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for spec in self.flow['states'][state]:
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template = Image.open(ROOT / 'assets' / spec['template']).convert('RGB')
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x, y, _, _ = spec['search']
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image.paste(template, (x + 5, y + 5))
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return image
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def runner(self, states):
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desktop = ArenaDesktop([self.image(state) for state in states])
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return desktop, ArenaRunner(desktop, self.matcher, self.flow,
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lambda _: self.region, log=lambda _: None, timeout=0.8)
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def test_claims_points_and_returns_home(self):
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desktop, runner = self.runner(['home', 'territory', 'selection', 'arena_page', 'reward', 'arena_page', 'territory', 'home'])
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self.assertEqual(runner.run(), 'claimed')
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expected = ('territory', 'peak_duel', 'arena', 'claim_points',
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'dismiss_reward', 'arena_back', 'territory_back')
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self.assertEqual([point for point, _ in desktop.clicks], [self.flow['clicks'][name] for name in expected])
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if __name__ == '__main__':
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unittest.main()
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