def _select_a_new_vcs_from_all_group(
self, observations: Observations) -> actions.FunctionCall:
if self.action_ids.select_unit() in observations.available_actions():
self.step = self.step + 1
action = self.actions.select_unit(self.scv_index_in_all_group)
self.scv_index_in_all_group = self.scv_index_in_all_group + 1
return action
def _research_concussive_shells(
self, observations: Observations) -> actions.FunctionCall:
if self.action_ids.research_concussive_shells(
) in observations.available_actions():
self.step = self.step + 1
return self.actions.research_concussive_shells()
return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall:
if not self.scv_selected:
unit_type = observations.screen().unit_type()
unit_y, unit_x = (
unit_type == self.unit_type_ids.terran_scv()).nonzero()
rand_unit_index = random.randint(0, len(unit_y) - 1)
target = [unit_x[rand_unit_index], unit_y[rand_unit_index]]
self.scv_selected = True
return self.actions.select_point(target)
elif not self.scv_moved and self.action_ids.move_minimap(
) in observations.available_actions():
unit_y, unit_x = self.other_bases_minimap_locations.pop(0)
target = [unit_x, unit_y]
self.scv_moved = True
return self.actions.move_minimap(target)
elif self.scv_moved and observations.player().idle_worker_count(
) > 0 and len(self.other_bases_minimap_locations) > 0:
self.scv_moved = False
return self.actions.select_idle_worker()
elif self.infinite_scouting and len(
self.other_bases_minimap_locations) == 0:
self.other_bases_minimap_locations = self.base_location.other_unknown_bases_locations_on_minimap(
)
elif not self.scv_back_to_base and len(
self.other_bases_minimap_locations) == 0:
unit_y, unit_x = self.base_location.base_location_on_minimap()
target = [unit_x, unit_y]
self.scv_back_to_base = True
return self.actions.move_minimap(target)
return self.actions.no_op()
def _research_combat_shield(
self, observations: Observations) -> actions.FunctionCall:
if self.action_ids.research_combat_shield(
) in observations.available_actions():
self.step = self.step + 1
return self.actions.research_combat_shield()
return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall:
if not self.building_built:
if self.build_action_id() in observations.available_actions():
unit_y, unit_x = self.base_location.locate_command_center(
observations.screen())
if unit_x.any():
target = self.base_location.transform_distance(
int(unit_x.mean()), self.x_from_base,
int(unit_y.mean()), self.y_from_base)
self.building_built = True
return self.build_action(target)
elif not self.select_scv_order.done(observations):
return self.select_scv_order.execute(observations)
elif not self.building_rallied:
if not self.building_selected:
unit_type = observations.screen().unit_type()
unit_y, unit_x = (unit_type == self.building_type()).nonzero()
if unit_y.any():
target = [int(unit_x.mean()), int(unit_y.mean())]
self.building_selected = True
return self.actions.select_point(target)
else:
self.building_rallied = True
if self.base_location.command_center_is_top_left():
target = [29, 21]
else:
target = [29, 46]
return self.actions.rally_units_minimap(target)
return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall:
if self.done(observations):
self._reset()
elif not self.army_selected:
if self.action_ids.select_army() in observations.available_actions(
):
self.army_selected = True
return self.actions.select_army()
elif self.army_selected and self.action_ids.attack_minimap(
) in observations.available_actions():
self.push_ordered = True
if self.base_location.command_center_is_top_left():
target = [39, 45]
else:
target = [21, 24]
return self.actions.attack_minimap(target)
return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall:
if not self.select_scv_order.done(observations):
return self.select_scv_order.execute(observations)
elif self.action_ids.move_screen() in observations.available_actions():
unit_type = observations.screen().unit_type()
unit_y, unit_x = (
unit_type == self.unit_type_ids.terran_refinery()).nonzero()
if unit_y.any():
target = [int(unit_x.mean()), int(unit_y.mean())]
self.scv_sent_to_refinery = True
return self.actions.move_screen(target)
return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall:
if not self.supply_depot_built:
if not self.select_scv_order.done(observations):
return self.select_scv_order.execute(observations)
elif self.action_ids.build_supply_depot(
) in observations.available_actions():
cc_y, cc_x = self.base_location.locate_command_center(
observations.screen())
target = self.base_location.transform_distance(
int(cc_x.mean()), self.x_from_base, int(cc_y.mean()),
self.y_from_base)
self.supply_depot_built = True
return self.actions.build_supply_depot(target)
return self.actions.no_op()
def send_scv_to_mineral(
self, observations: Observations) -> actions.FunctionCall:
if self.action_ids.harvest_gather() in observations.available_actions(
):
unit_type = observations.screen().unit_type()
unit_y, unit_x = (unit_type == self.unit_type_ids.
neutral_mineral_field()).nonzero()
if unit_y.any():
i = random.randint(0, len(unit_y) - 1)
m_x = unit_x[i]
m_y = unit_y[i]
target = [int(m_x), int(m_y)]
return self.actions.harvest_gather(target)
return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall:
if not self.builder_scv_selected:
self.builder_scv_selected = True
print("select builder")
return SelectSCV(self.base_location).execute(observations)
# https://itnext.io/how-to-locate-and-select-units-in-pysc2-2bb1c81f2ad3
elif not self.refinery_building and self.action_ids.build_refinery(
) in observations.available_actions():
unit_type = observations.screen().unit_type()
vespene_y, vespene_x = (unit_type == self.unit_type_ids.
neutral_vespene_geyser()).nonzero()
vespene_geyser_count = int(math.ceil(len(vespene_y) / 97))
units = []
for i in range(0, len(vespene_y)):
units.append((vespene_x[i], vespene_y[i]))
kmeans = KMeans(vespene_geyser_count)
kmeans.fit(units)
vespene1_x = int(kmeans.cluster_centers_[0][0])
vespene1_y = int(kmeans.cluster_centers_[0][1])
self.refinery_target = [vespene1_x, vespene1_y]
self.refinery_building = True
print("refinery building")
return self.actions.build_refinery(self.refinery_target)
elif self.refinery_building and not self.refinery_selected:
unit_type = observations.screen().unit_type()
refinery_y, refinery_x = (
unit_type == self.unit_type_ids.terran_refinery()).nonzero()
if refinery_y.any():
self.refinery_selected = True
print("refinery selected")
return self.actions.select_point(self.refinery_target)
elif self.refinery_selected and not self.first_collector_scv_selected:
if observations.single_select().is_built():
self.first_collector_scv_selected = True
print("select first collector")
return SelectSCV(self.base_location).execute(observations)
elif self.first_collector_scv_selected and not self.first_collector_scv_sent:
self.first_collector_scv_sent = True
print("sent first collector")
return self.actions.harvest_gather(self.refinery_target)
elif self.first_collector_scv_sent and not self.second_collector_scv_selected:
self.second_collector_scv_selected = True
print("select second collector")
return SelectSCV(self.base_location).execute(observations)
elif self.second_collector_scv_selected and not self.second_collector_scv_sent:
self.second_collector_scv_sent = True
print("sent second collector")
return self.actions.harvest_gather(self.refinery_target)
return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall:
if not self.command_center_selected:
unit_type = observations.screen().unit_type()
center_y, center_x = (unit_type == self.unit_type_ids.
terran_command_center()).nonzero()
center_x = round(center_x.mean())
center_y = round(center_y.mean())
target = [center_x, center_y]
self.command_center_selected = True
return self.actions.select_point(target)
elif self.command_center_selected and self.action_ids.morph_orbital_command(
) in observations.available_actions():
self.orbital_command_built = True
return self.actions.morph_orbital_command()
return self.actions.no_op()
def _build_reactor(self,
observations: Observations) -> actions.FunctionCall:
if self.action_ids.build_reactor_barracks(
) in observations.available_actions():
self.step = self.step + 1
cc_y, cc_x = self.location.command_center_first_position()
difference_from_cc = self.difference_from_command_center()
target = self.location.transform_distance(
round(cc_x.mean()),
difference_from_cc[0],
round(cc_y.mean()),
difference_from_cc[1],
)
return self.actions.build_reactor_barracks(target)
return self.actions.no_op()
def attack_minimap(self, observations: Observations) -> actions.FunctionCall:
do_it = True
if not observations.single_select().empty() and observations.single_select().unit_type() == self.unit_type_ids.terran_scv():
do_it = False
if not observations.multi_select().empty() and observations.multi_select().unit_type(0) == self.unit_type_ids.terran_scv():
do_it = False
if do_it and self.action_ids.attack_minimap() in observations.available_actions():
x_offset = random.randint(-1, 1)
y_offset = random.randint(-1, 1)
target = self.location.transform_location(int(self.x) + (x_offset * 8), int(self.y) + (y_offset * 8))
return self.actions.attack_minimap(target)
return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall:
if self.done(observations):
self._reset()
elif self._train_action_id() in observations.available_actions():
self.already_trained = self.already_trained + 1
return self._train_action()
elif not self.barracks_selected:
unit_type = observations.screen().unit_type()
unit_y, unit_x = (
unit_type == self.unit_type_ids.terran_barracks()).nonzero()
if unit_y.any():
target = [int(unit_x.mean()), int(unit_y.mean())]
self.barracks_selected = True
return self.actions.select_point(target)
return self.actions.no_op()
def _build_factory(self,
observations: Observations) -> actions.FunctionCall:
cc_y, cc_x = self.location.command_center_first_position()
factories_count = BuildingCounter().factories_count(observations)
if factories_count < self.max_factories and self.action_ids.build_factory(
) in observations.available_actions():
if cc_y.any():
current_count_to_difference_from_cc = BuildingPositionsFromCommandCenter(
).factories()
target = self.location.transform_distance(
round(cc_x.mean()),
current_count_to_difference_from_cc[factories_count][0],
round(cc_y.mean()),
current_count_to_difference_from_cc[factories_count][1],
)
return self.actions.build_factory(target)
return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall:
if not self.barracks_selected:
unit_type = observations.screen().unit_type()
unit_y, unit_x = (
unit_type == self.unit_type_ids.terran_barracks()).nonzero()
target = [int(unit_x.mean()), int(unit_y.mean())]
self.barracks_selected = True
return self.actions.select_point(target)
elif self.action_ids.build_techlab_barracks(
) in observations.available_actions():
self.tech_lab_built = True
unit_type = observations.screen().unit_type()
unit_y, unit_x = (
unit_type == self.unit_type_ids.terran_barracks()).nonzero()
target = [int(unit_x.mean()), int(unit_y.mean())]
return self.actions.build_techlab_barracks(target)
return self.actions.no_op()
def send_selected_scv_group_to_refinery(
self, location: Location, observations: Observations,
refinery_id: int) -> actions.FunctionCall:
if self.action_ids.harvest_gather() in observations.available_actions(
):
if refinery_id == 1:
difference_from_cc = BuildingPositionsFromCommandCenter(
).vespene_geysers()[0]
else:
difference_from_cc = BuildingPositionsFromCommandCenter(
).vespene_geysers()[1]
cc_y, cc_x = location.command_center_first_position()
target = location.transform_distance(
round(cc_x.mean()),
difference_from_cc[0],
round(cc_y.mean()),
difference_from_cc[1],
)
#print("send collector " + str(refinery_id) + " to refinery " + str(target[0]) + " " + str(target[1]))
return self.actions.harvest_gather(target)
return self.actions.no_op()
def _build_refinery(self,
observations: Observations) -> actions.FunctionCall:
if self.action_ids.build_refinery() in observations.available_actions(
):
if self.refinery_index == 1:
difference_from_cc = BuildingPositionsFromCommandCenter(
).vespene_geysers()[0]
else:
difference_from_cc = BuildingPositionsFromCommandCenter(
).vespene_geysers()[1]
cc_y, cc_x = self.location.command_center_first_position()
target = self.location.transform_distance(
round(cc_x.mean()),
difference_from_cc[0],
round(cc_y.mean()),
difference_from_cc[1],
)
#print(
# "build refinery "+str(self.refinery_index) + " on "+str(target[0])+ " "+str(target[1])
# + " CC is "+ str(round(cc_x.mean())) + " " + str(round(cc_y.mean()))
#)
return self.actions.build_refinery(target)
return self.actions.no_op()
def select_army(self, observations: Observations) -> actions.FunctionCall:
if self.action_ids.select_army() in observations.available_actions():
return self.actions.select_army()
return self.actions.no_op()
def train_marine(self, observations: Observations) -> actions.FunctionCall:
if self.action_ids.train_marauder() in observations.available_actions(
):
return self.actions.train_marauder()
return self.actions.no_op()
def _train_scv(self, observations: Observations) -> actions.FunctionCall:
if self.action_ids.train_scv() in observations.available_actions():
return self.actions.train_scv()
return self.actions.no_op()
def executable(self, observations: Observations) -> bool:
return self.action_ids.select_army() in observations.available_actions(
)