84 lines
2.8 KiB
Python
84 lines
2.8 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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max_draw_pile_size = 15
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probabilities = {}
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raw_output = None
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try:
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result = subprocess.run(['./endgame-analyzer', '-g', str(game_id), '-d', str(max_draw_pile_size), '--interactive', '0', '--quiet', '-r'], stdout=subprocess.PIPE, timeout=10)
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raw_output = result.stdout
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except subprocess.TimeoutExpired as time_err:
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raw_output = time_err.stdout
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output = raw_output.decode('utf-8')
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print(output)
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# Check if the game was just over before reaching the specified draw pile size
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if re.search(r'The given draw pile size \({}\) cannot be obtained with the specified replay.'.format(max_draw_pile_size), output):
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print('detected empty output')
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return {str(size): 0 for size in range(1, max_draw_pile_size + 1)}
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# Now, parse all results that we obtained (unclear how many depending on whether we ran into the timeout)
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x = 'Probability with 13 cards left in deck: 5855/6237 ~ 93.875%'
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for m in re.finditer('Probability with ([0-9]+) cards left in deck: .*/.* ~ ([0-9.]+)', output):
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probabilities[str(m.group(1))] = m.group(2)
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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(10), '-i', '0', '--all-clues', '-r', '--quiet'], stdout=subprocess.PIPE, timeout=180)
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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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print(output)
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for m in re.finditer('Probability with ([0-9]+) cards left in deck and [0-8] clues \((.[0-8])\).*: .*/.* ~ ([0-9.]*)', output):
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if m.group(1) not in probabilities.keys():
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probabilities[m.group(1)] = {}
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probabilities[m.group(1)][m.group(2)] = m.group(3)
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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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if 'all' not in DATA.keys():
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DATA['all'] = {}
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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.get('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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if 'normal' not in DATA.keys():
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DATA['normal'] = {}
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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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