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5473393e30
Implement a simple HTTP server to start games, receive the gamestate and pass commands to the simulation. This is mainly intended for training reinforcement learning agents in 0 AD. As such, a python client and a small example are included. This option can be enabled using the -rl-interface flag. Patch by: irishninja Reviewed By: wraitii, Itms Fixes #5548 Differential Revision: https://code.wildfiregames.com/D2199 This was SVN commit r23917.
29 lines
895 B
Python
29 lines
895 B
Python
import urllib
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from urllib import request
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import json
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class RLAPI():
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def __init__(self, url):
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self.url = url
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def post(self, route, data):
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response = request.urlopen(url=f'{self.url}/{route}', data=bytes(data, 'utf8'))
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return response.read()
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def step(self, commands):
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post_data = '\n'.join((f'{player};{json.dumps(action)}' for (player, action) in commands))
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return self.post('step', post_data)
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def reset(self, scenario_config, player_id, save_replay):
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path = 'reset?'
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if save_replay:
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path += 'saveReplay=1&'
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if player_id:
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path += f'playerID={player_id}&'
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return self.post(path, scenario_config)
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def get_templates(self, names):
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post_data = '\n'.join(names)
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response = self.post('templates', post_data)
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return zip(names, response.decode().split('\n'))
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