64 lines
2.0 KiB
Python
64 lines
2.0 KiB
Python
import json
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import re
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import subprocess
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from typing import Dict
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from pathlib import Path
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DATA_FILE = Path('endgame-data.json')
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if not DATA_FILE.exists():
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DATA_FILE.write_text('{}')
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with open(DATA_FILE, 'r') as f:
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DATA: Dict = json.loads(f.read())
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def analyze_game(game_id: int):
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probabilities = {}
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for deck_size in range(1, 16):
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try:
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result = subprocess.run(['./endgame-analyzer', '-g', str(game_id), '-d', str(deck_size), '-i', '0'], stdout=subprocess.PIPE, timeout=30)
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except subprocess.TimeoutExpired:
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return probabilities
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output = result.stdout.decode('utf-8')
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m = re.search('Probability with optimal play: .*/.* ~ ([0-9.]+)', output)
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if not m:
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raise ValueError("Invalid program output: {}".format(output))
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probabilities[str(deck_size)] = m.group(1)
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return probabilities
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def full_analyze_game(game_id: int):
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probabilities = {}
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try:
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result = subprocess.run(['./endgame-analyzer', '-g', str(game_id), '-d', str(deck_size), '-i', '0', '--all-clues', '-r'], stdout=subprocess.PIPE, timeout=180)
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except subproces.TimeoutExpired:
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return probabilities
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output = result.stdout.decode('utf-8')
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for m in re.finditer('Probability with (\d+) cards left in deck and (\d) clues (+|-\d): .*/.* ~ ([0-9.]+)', output):
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probabilities[m.group(1)][m.group(3)] = m.group(4)
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return probabilities
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def full_analyze_game_cached(game_id: int):
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cached = DATA.get('all', {}).get(str(game_id), None)
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if cached is not None:
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return cached
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result = full_analyze_game(game_id)
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DATA['all'][game_id] = result
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save_cache()
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return result
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def analyze_game_cached(game_id: int):
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cached = DATA['normal'].get(str(game_id), None)
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if cached is not None:
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return cached
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result = analyze_game(game_id)
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DATA['normal'][game_id] = result
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save_cache()
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return result
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def save_cache():
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with open(DATA_FILE, 'w') as f:
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f.writelines(json.dumps(DATA, indent=2))
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