58 lines
2.5 KiB
Python
58 lines
2.5 KiB
Python
import json
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from matplotlib import pyplot as plt
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from island.match import Match
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from island.matches import Matches
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matches = Matches('wos-data-casual')
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labels = ['not enough tr', 'other reason']
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percents = [0.0, 0.0]
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op = 'D'
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def get_reason(m, i, target):
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r = m.query('action', 'request').where(lambda x: x['rno'] == i+1 and x['from'] == target).raw_data
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rs = m.query('action', 'approve').where(lambda x: x['rno'] == i+1 and x['to'] == target).raw_data
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rsn = [n['from'] for n in rs]
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for j in r:
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if j['to'] not in rsn:
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tr = 1440
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for k in m.query('action', 'request').where(lambda x: x['rno'] == i+1 and x['from'] == j['to']).raw_data:
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tr -= k['tr']
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for k in m.query('action', 'cancel').where(lambda x: x['rno'] == i+1 and x['from'] == j['to']).raw_data:
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tr += m.query('action', 'request').where(lambda x: x['rno'] == i+1 and x['from'] == j['to'] and x['to'] == k['to'] and x['log_id'] < k['log_id']).orderby('log_id').raw_data[-1]['tr']
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for k in m.query('action', 'deny').where(lambda x: x['rno'] == i+1 and x['to'] == j['to']).raw_data:
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tr += m.query('action', 'request').where(lambda x: x['rno'] == i+1 and x['from'] == j['to'] and x['to'] == k['from'] and x['log_id'] < k['log_id']).orderby('log_id').raw_data[-1]['tr']
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for k in m.query('action', 'approve').where(lambda x: x['rno'] == i+1 and x['from'] == j['to']).raw_data:
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tr -= k['tr']
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print(tr)
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if tr >= j['tr']:
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percents[1] += 1
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else:
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percents[0] += 1
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for m in matches.data:
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info = m.query('game', 'created').select('info').first()['info']
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conf = json.loads(info['config'])
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game_end_at = int(info['game_end_at'])
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for i in range(1, game_end_at):
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calced = set()
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for row in m.query('action', 'done').where(lambda x: (x['act_a'] == op or x['act_b'] == op) and x['rno'] == i).raw_data:
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if row['act_a'] == op and row['a'] not in calced:
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get_reason(m, i, row['a'])
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calced.add(row['a'])
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if row['act_b'] == op and row['b'] not in calced:
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get_reason(m, i, row['b'])
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calced.add(row['b'])
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_all = sum(percents) / 100
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percents[0] /= _all
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percents[1] /= _all
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plt.figure()
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plt.pie(percents, labels=labels, autopct='%1.2f%%', startangle=90)
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plt.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.
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plt.show()
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# plt.savefig('graph/unlink_has_neighbor.png') |