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https://gitea.wildfiregames.com/0ad/0ad
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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.
69 lines
1.6 KiB
Python
69 lines
1.6 KiB
Python
def construct(units, template, x, z, angle=0, autorepair=True, autocontinue=True, queued=False):
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unit_ids = [ unit.id() for unit in units ]
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return {
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'type': 'construct',
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'entities': unit_ids,
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'template': template,
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'x': x,
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'z': z,
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'angle': angle,
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'autorepair': autorepair,
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'autocontinue': autocontinue,
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'queued': queued,
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}
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def gather(units, target, queued=False):
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unit_ids = [ unit.id() for unit in units ]
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return {
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'type': 'gather',
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'entities': unit_ids,
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'target': target.id(),
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'queued': queued,
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}
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def train(entities, unit_type, count=1):
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entity_ids = [ unit.id() for unit in entities ]
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return {
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'type': 'train',
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'entities': entity_ids,
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'template': unit_type,
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'count': count,
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}
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def debug_print(message):
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return {
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'type': 'debug-print',
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'message': message
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}
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def chat(message):
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return {
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'type': 'aichat',
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'message': message
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}
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def reveal_map():
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return {
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'type': 'reveal-map',
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'enable': True
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}
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def walk(units, x, z, queued=False):
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ids = [ unit.id() for unit in units ]
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return {
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'type': 'walk',
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'entities': ids,
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'x': x,
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'z': z,
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'queued': queued
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}
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def attack(units, target, queued=False, allow_capture=True):
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unit_ids = [ unit.id() for unit in units ]
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return {
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'type': 'attack',
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'entities': unit_ids,
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'target': target.id(),
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'allowCapture': allow_capture,
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'queued': queued
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}
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