Differential D2199 Diff 12818 source/tools/clients/python/samples/simple-example.py

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source/tools/clients/python/samples/simple-example.py

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				# This script provides an overview of the zero_ad wrapper for 0 AD
				from os import path
				import zero_ad

				# First, we will define some helper functions we will use later.
				import math
				def dist (p1, p2):
				return math.sqrt(sum((math.pow(x2 - x1, 2) for (x1, x2) in zip(p1, p2))))

				def center(units):
				sum_position = map(sum, zip(*map(lambda u: u.position(), units)))
				return [x/len(units) for x in sum_position]

				def closest(units, position):
				dists = (dist(unit.position(), position) for unit in units)
				index = 0
				min_dist = next(dists)
				for (i, d) in enumerate(dists):
				if d < min_dist:
				index = i
				min_dist = d

				return units[index]

				# Connect to a 0 AD game server listening at localhost:6000
				game = zero_ad.ZeroAD('http://localhost:6000')

				# Load the Arcadia map
				samples_dir = path.dirname(path.realpath(__file__))
				scenario_config_path = path.join(samples_dir, 'arcadia.json')
				with open(scenario_config_path, 'r') as f:
				arcadia_config = f.read()

				state = game.reset(arcadia_config)

				# The game is paused and will only progress upon calling "step"
				state = game.step()

				# Units can be queried from the game state
				citizen_soldiers = state.units(owner=1, type='infantry')
				# (including gaia units like trees or other resources)
				nearby_tree = closest(state.units(owner=0, type='tree'), center(citizen_soldiers))

				# Action commands can be created using zero_ad.actions
				collect_wood = zero_ad.actions.gather(citizen_soldiers, nearby_tree)

				female_citizens = state.units(owner=1, type='female_citizen')
				house_tpl = 'structures/spart_house'
				x = 680
				z = 640
				build_house = zero_ad.actions.construct(female_citizens, house_tpl, x, z, autocontinue=True)

				# These commands can then be applied to the game in a `step` command
				state = game.step([collect_wood, build_house])

				# We can also fetch units by id using the `unit` function on the game state
				female_id = female_citizens[0].id()
				female_citizen = state.unit(female_id)

				# A variety of unit information can be queried from the unit:
				print('female citizen\'s max health is', female_citizen.max_health())

				# Raw data for units and game states are available via the data attribute
				print(female_citizen.data)

				# Units can be built using the "train action"
				civic_center = state.units(owner=1, type="civil_centre")[0]
				spearman_type = 'units/spart_infantry_spearman_b'
				train_spearmen = zero_ad.actions.train([civic_center], spearman_type)

				state = game.step([train_spearmen])

				# Let's step the engine until the house has been built
				is_unit_busy = lambda state, unit_id: len(state.unit(unit_id).data['unitAIOrderData']) > 0
				while is_unit_busy(state, female_id):
				state = game.step()

				# The units for the other army can also be controlled
				enemy_units = state.units(owner=2)
				walk = zero_ad.actions.walk(enemy_units, *civic_center.position())
				game.step([walk], player=[2])

				# Step the game engine a bit to give them some time to walk
				for _ in range(150):
				state = game.step()

				# Let's attack with our entire military
				state = game.step([zero_ad.actions.chat('An attack is coming!')])

				while len(state.units(owner=2, type='unit')) > 0:
				attack_units = [ unit for unit in state.units(owner=1, type='unit') if 'female' not in unit.type() ]
				target = closest(state.units(owner=2), center(attack_units))
				state = game.step([zero_ad.actions.attack(attack_units, target)])

				while state.unit(target.id()):
				state = game.step()

				game.step([zero_ad.actions.chat('The enemies have been vanquished. Our home is safe again.')])