def focus_on_entity(entity, target_id, show_line=False, pause=False):
global HAS_FOCUS, PAUSE
if HAS_FOCUS or '--no-fx' in sys.argv:
return
HAS_FOCUS = target_id
PAUSE = pause
_entity = ui_dialog.create(18, 7, 'Enemy spotted!')
entities.register_event(_entity, 'delete', lambda e: lose_focus())
entities.trigger_event(DIRECTOR,
'create_timer',
time=120,
exit_callback=lambda e: ui_dialog.delete(_entity))
if show_line:
for x, y in shapes.line(movement.get_position(entity),
movement.get_position_via_id(target_id)):
effects.vapor(x,
y,
group='effects_freetick',
start_alpha=1.0,
fade_rate=.01)
def build_item_list(entity):
entity['ai']['visible_items'] = {'weapon': [],
'container': [],
'ammo': [],
'bullet': [],
'corpse': []}
return
_active_solids = zones.get_active_solids(entity)
for entity_id in entities.get_entity_group('items'):
_item = entities.get_entity(entity_id)
if not _item['stats']['type'] in entity['ai']['visible_items']:
continue
if _item['stats']['owner']:
continue
_distance = numbers.distance(movement.get_position(entity), movement.get_position(_item))
if _distance >= stats.get_vision(entity):
continue
for pos in shapes.line(movement.get_position(entity), movement.get_position(_item)):
if pos in _active_solids:
break
else:
entity['ai']['visible_items'][_item['stats']['type']].append(entity_id)
entities.trigger_event(_item, 'seen', target_id=entity['_id'])
def can_see_position(entity, position): _solids = zones.get_active_solids(entity) if numbers.distance(movement.get_position(entity), position) > stats.get_vision(entity): return False for pos in shapes.line(movement.get_position(entity), position): if pos in _solids: return False return True
def draw_raid_path(path):
_start_pos = path[0]
for pos in path[1:]:
_r_pos_1 = _start_pos[0] * constants.MAP_CELL_SPACE, _start_pos[1] * constants.MAP_CELL_SPACE
_r_pos_2 = pos[0] * constants.MAP_CELL_SPACE, pos[1] * constants.MAP_CELL_SPACE
_line = shapes.line(_r_pos_1, _r_pos_2)
for x, y in _line[: len(_line) - 1]:
display.write_char("map_path", x + constants.MAP_CELL_SPACE / 2, y + constants.MAP_CELL_SPACE / 2, chr(176))
_start_pos = pos[:]
def can_see_position(entity, position):
_solids = zones.get_active_solids(entity)
if numbers.distance(movement.get_position(entity),
position) > stats.get_vision(entity):
return False
for pos in shapes.line(movement.get_position(entity), position):
if pos in _solids:
return False
return True
def draw_raid_path(path):
_start_pos = path[0]
for pos in path[1:]:
_r_pos_1 = _start_pos[0] * constants.MAP_CELL_SPACE, _start_pos[
1] * constants.MAP_CELL_SPACE
_r_pos_2 = pos[0] * constants.MAP_CELL_SPACE, pos[
1] * constants.MAP_CELL_SPACE
_line = shapes.line(_r_pos_1, _r_pos_2)
for x, y in _line[:len(_line) - 1]:
display.write_char('map_path', x + constants.MAP_CELL_SPACE / 2,
y + constants.MAP_CELL_SPACE / 2, chr(176))
_start_pos = pos[:]
def focus_on_entity(entity, target_id, show_line=False, pause=False): global HAS_FOCUS, PAUSE if HAS_FOCUS or '--no-fx' in sys.argv: return HAS_FOCUS = target_id PAUSE = pause _entity = ui_dialog.create(18, 7, 'Enemy spotted!') entities.register_event(_entity, 'delete', lambda e: lose_focus()) entities.trigger_event(DIRECTOR, 'create_timer', time=120, exit_callback=lambda e: ui_dialog.delete(_entity)) if show_line: for x, y in shapes.line(movement.get_position(entity), movement.get_position_via_id(target_id)): effects.vapor(x, y, group='effects_freetick', start_alpha=1.0, fade_rate=.01)
def explosion(x, y, size):
_solids = zones.get_active_solids({}, no_life=True)
for pos in shapes.circle_smooth(x, y, size + .1, 0.05):
_c_mod = 1 - (numbers.float_distance((x, y), pos) / size)
_c_mod_clip = numbers.clip(1 - numbers.float_distance((x, y), pos) / size, random.uniform(.3, .45), 1)
if pos in _solids or set(shapes.line((x, y), (int(round(pos[0])), int(round(pos[1]))))) & _solids:
continue
smoke(pos[0], pos[1], _c_mod_clip)
if random.uniform(0, 1) < numbers.clip(_c_mod, 0, .75) and not pos in _solids:
fire(pos[0], pos[1], _c_mod)
for i in range(random.randint(2 * size, 3*size)):
smoke_shooter(x, y, random.randint(0, 359))
light(x, y, random.randint(7, 9), r=2.5, g=1.5, b=1.5)
light(x, y, random.randint(13, 15), r=1.3, g=1.3, b=1.3)
def build_life_list(entity):
entity['ai']['visible_targets'] = []
_nearest_target = {'target_id': None, 'distance': 0}
_solids = zones.get_active_solids(entity)
_visible_life = set()
_vision = stats.get_vision(entity)
_visible_by_friendlies = [entities.get_entity(e)['ai']['visible_targets'] for e in entity['ai']['life_memory'] if not entity['ai']['life_memory'][e]['is_target'] and e in entities.ENTITIES]
#Warning: Makes AI super smart
_visible_by_friendlies = [item for sublist in _visible_by_friendlies for item in sublist]
for entity_id in entities.get_entity_group('life'):
if entity['_id'] == entity_id:
continue
_target = entities.get_entity(entity_id)
if not entity_id in entity['ai']['life_memory']:
life.create_life_memory(entity, entity_id)
if not ai_factions.is_enemy(entity, entity_id):
_visible = True
else:
if numbers.distance(movement.get_position(entity), movement.get_position(_target)) > _vision:
if entity['ai']['life_memory'][entity_id]['can_see'] and ai_factions.is_enemy(entity, _target['_id']):
entities.trigger_event(entity, 'target_lost', target_id=entity_id)
if entity_id in _visible_by_friendlies:
entity['ai']['life_memory'][entity_id]['in_los'] = False
entity['ai']['life_memory'][entity_id]['can_see'] = True
_visible = True
else:
entity['ai']['life_memory'][entity_id]['can_see'] = False
entity['ai']['life_memory'][entity_id]['in_los'] = False
if entity_id in entity['ai']['visible_life']:
entity['ai']['visible_life'].remove(entity_id)
_visible = False
else:
for pos in shapes.line(movement.get_position(entity), movement.get_position(_target)):
if pos in _solids:
if entity['ai']['life_memory'][entity_id]['can_see'] and ai_factions.is_enemy(entity, _target['_id']):
entities.trigger_event(entity, 'target_lost', target_id=entity_id)
if entity_id in _visible_by_friendlies:
entity['ai']['life_memory'][entity_id]['in_los'] = False
entity['ai']['life_memory'][entity_id]['can_see'] = True
_visible = True
else:
entity['ai']['life_memory'][entity_id]['can_see'] = False
entity['ai']['life_memory'][entity_id]['in_los'] = False
if entity_id in entity['ai']['visible_life']:
entity['ai']['visible_life'].remove(entity_id)
_visible = False
break
else:
entity['ai']['life_memory'][entity_id]['in_los'] = True
_visible = True
if not _visible and entity['ai']['life_memory'][entity_id]['seen_time'] > 0:
_visible = True
entity['ai']['life_memory'][entity_id]['in_los'] = False
entity['ai']['life_memory'][entity_id]['can_see'] = True
entity['ai']['life_memory'][entity_id]['seen_time'] -= 1
if entity_id in entity['ai']['visible_life']:
entity['ai']['visible_life'].remove(entity_id)
elif not _visible and entity_id in entity['ai']['visible_life']:
entity['ai']['visible_life'].remove(entity_id)
if _visible:
_previous_last_seen_at = entity['ai']['life_memory'][entity_id]['last_seen_at']
_target_position = movement.get_position(_target)[:]
entity['ai']['life_memory'][entity_id]['is_lost'] = False
if entity['ai']['life_memory'][entity_id]['in_los']:
if entity['ai']['life_memory'][entity_id]['seen_time'] < 30:
entity['ai']['life_memory'][entity_id]['seen_time'] += 1
else:
entity['ai']['life_memory'][entity_id]['seen_time'] -= 1
if entity['ai']['life_memory'][entity_id]['seen_time'] < 0 and entity_id in entity['ai']['visible_life']:
entity['ai']['visible_life'].remove(entity_id)
entity['ai']['life_memory'][entity_id]['in_los'] = False
if movement.get_position(_target) == _previous_last_seen_at:
_new_last_seen_at = _previous_last_seen_at
else:
_new_last_seen_at = _target_position
_is_target = ai_factions.is_enemy(entity, _target['_id'])
_profile = {'distance': numbers.distance(movement.get_position(entity), movement.get_position(_target)),
'is_target': _is_target,
'is_armed': items.get_items_in_holder(_target, 'weapon'),
'is_lost': False,
'can_see': True,
'last_seen_at': _new_last_seen_at,
'last_seen_velocity': None}
if not entity_id in entity['ai']['visible_life']:
entities.trigger_event(entity, 'new_target_spotted', target_id=entity_id)
if entity['ai']['life_memory'][entity_id]['in_los']:
entity['ai']['visible_life'].add(entity_id)
if _is_target:
ai_flow.register_combat(entity, entity_id)
if _is_target:
entity['ai']['targets'].add(entity_id)
_distance = numbers.distance(movement.get_position(entity), movement.get_position_via_id(entity_id))
if not _nearest_target['target_id'] or _distance < _nearest_target['distance']:
_nearest_target['distance'] = _distance
_nearest_target['target_id'] = entity_id
if entity['ai']['life_memory'][entity_id]['last_seen_at']:
_last_seen_at = entity['ai']['life_memory'][entity_id]['last_seen_at'][:]
_velocity = (_profile['last_seen_at'][0]-_last_seen_at[0], _profile['last_seen_at'][1]-_last_seen_at[1])
_profile['last_seen_velocity'] = _velocity
else:
_profile['last_seen_velocity'] = None
if not entity['ai']['life_memory'][entity_id]['can_see'] and _is_target:
_could_not_see_target_before = True
else:
_could_not_see_target_before = False
entity['ai']['life_memory'][entity_id].update(_profile)
if _could_not_see_target_before:
entities.trigger_event(entity, 'target_found', target_id=entity_id)
#TODO: What?
#for t in entity['ai']['life_memory']:
# if not 'is_lost' in entity['ai']['life_memory'][t]:
# print entity['ai']['life_memory'][t]
entity['ai']['visible_targets'] = list(entity['ai']['visible_life'] & entity['ai']['targets'])
entity['ai']['targets_to_search'] = [t for t in entity['ai']['life_memory'].keys() if entity['ai']['life_memory'][t]['is_lost'] and not entity['ai']['life_memory'][t]['searched_for'] and t in entities.ENTITIES]
if _nearest_target['target_id']:
if not entity['ai']['nearest_target'] == _nearest_target['target_id']:
entity['ai']['meta']['has_firing_position'] = True
entity['ai']['nearest_target'] = _nearest_target['target_id']
elif entity['ai']['targets']:
for target_id in list(entity['ai']['targets']):
_target = entity['ai']['life_memory'][target_id]
if not target_id in entities.ENTITIES or _target['is_lost']:
entity['ai']['targets'].remove(target_id)
continue
_distance = numbers.distance(movement.get_position(entity), _target['last_seen_at'])
if not _nearest_target['target_id'] or _distance < _nearest_target['distance']:
_nearest_target['target_id'] = target_id
_nearest_target['distance'] = _distance
if not entity['ai']['nearest_target'] == _nearest_target['target_id']:
entity['ai']['meta']['has_firing_position'] = True
entity['ai']['nearest_target'] = _nearest_target['target_id']
def search_for_target(entity):
_lost_targets = entity['ai']['targets_to_search']
_inside = zones.get_active_inside_positions()
if not _lost_targets:
print 'Trying to search with no lost targets'
return
_closest_target = {'distance': 0, 'target_id': None}
for target_id in _lost_targets:
_memory = entity['ai']['life_memory'][target_id]
_distance = numbers.distance(movement.get_position(entity), _memory['last_seen_at'])
if not _closest_target['target_id'] or _distance < _closest_target['distance']:
_closest_target['target_id'] = target_id
_closest_target['distance'] = _distance
_target = entities.get_entity(_closest_target['target_id'])
_solids = zones.get_active_solids(entity)
if flags.has_flag(entity, 'search_nodes'):
_search_for_target(entity, _target['_id'])
return
_x, _y = movement.get_position(entity)
_tx, _ty = entity['ai']['life_memory'][_target['_id']]['last_seen_at']
_nodes_to_search = {}
if entity['ai']['life_memory'][_target['_id']]['last_seen_velocity']:
_vx, _vy = entity['ai']['life_memory'][_target['_id']]['last_seen_velocity']
_tx + _vx*6
_ty + _vy*6
entities.trigger_event(entity, 'set_flag', flag='search_nodes', value=_nodes_to_search)
for node_x, node_y in zones.get_active_node_grid():
_distance = numbers.distance((_tx, _ty), (node_x, node_y))
if _distance >= 30:
continue
if not (node_x, node_y) in _inside:
continue
_continue = False
for pos in shapes.line((_tx, _ty), (node_x, node_y)):
if pos in _solids:
_continue = True
break
if _continue:
continue
if _distance in _nodes_to_search:
if not (node_x, node_y) in _nodes_to_search[_distance]:
_nodes_to_search[_distance].append((node_x, node_y))
else:
_nodes_to_search[_distance] = [(node_x, node_y)]
def get_vantage_point(squad, member_id):
_member = entities.get_entity(member_id)
_member_pos = movement.get_position(_member)
_best_vantage = {'position': None, 'score': 1000}
_engage_range = flags.get_flag(_member, 'engage_distance')
_min_engage_range = flags.get_flag(_member, 'min_engage_distance')
if _member['movement']['path']['destination']:
if _member['movement']['path']['destination'] in squad['position_map_scores']:
_scores = squad['position_map_scores'][_member['movement']['path']['destination']]
_score = _scores['vantage']# + _scores['member_coverage']
_continue = False
for target_id in squad['known_targets']:
_last_known_position = _member['ai']['life_memory'][target_id]['last_seen_at']
_distance_to_target = numbers.distance(_member['movement']['path']['destination'], _last_known_position)
if _distance_to_target < _min_engage_range:
_continue = True
break
if not _continue and _scores['targets'] and _score >= _min_engage_range and _score <= _engage_range:
return _member['movement']['path']['destination']
for pos in squad['position_map_scores']:
_scores = squad['position_map_scores'][pos]
_dist = numbers.distance(_member_pos, pos)
_score = _scores['vantage'] + _dist
_continue = False
if not _scores['targets'] or _score - _dist < _min_engage_range or _score > _engage_range + _dist:
continue
for target_id in squad['known_targets']:
_last_known_position = _member['ai']['life_memory'][target_id]['last_seen_at']
_distance_to_target = numbers.distance(pos, _last_known_position)
if _distance_to_target < _min_engage_range:
_continue = True
break
if _continue:
continue
if _score < _best_vantage['score']:
_astar_distance = len(pathfinding.astar(_member_pos, pos, zones.get_active_astar_map(), zones.get_active_weight_map()))
_best_vantage['score'] = _score + _scores['member_coverage'] + int(round((_astar_distance * .15)))
_best_vantage['position'] = pos[:]
if not _best_vantage['position']:
_member['ai']['meta']['has_firing_position'] = False
entities.trigger_event(_member, 'create_timer', time=60, exit_callback=_reset_fire_position)
return
_x, _y = movement.get_position(_member)
_member_positions = set()
for squad_member_id in squad['members']:
if squad_member_id == member_id:
continue
_member_positions.add(movement.get_position_via_id(squad_member_id))
_v_p = _best_vantage['position']
_friendly_fire = False
for pos in shapes.line((_x, _y), _best_vantage['position']):
if pos in _member_positions:
_friendly_fire = True
break
if _friendly_fire:
for n_pos in [(_v_p[0]-1, _v_p[1]-1), (_v_p[0], _v_p[1]-1), (_v_p[0]+1, _v_p[1]-1), (_v_p[0]-1, _v_p[1]), (_v_p[0]+1, _v_p[1]), (_v_p[0]-1, _v_p[1]+1), (_v_p[0], _v_p[1]+1), (_v_p[0]+1, _v_p[1]+1)]:
if not n_pos in squad['position_map_scores']:
continue
_break = False
for nn_pos in shapes.line((_x, _y), n_pos):
if nn_pos in _member_positions:
_break = True
break
else:
_v_p = n_pos
break
if _break:
continue
for coverage_pos in shapes.circle(_v_p[0], _v_p[1], 6):
if not coverage_pos in squad['position_map_scores']:
continue
_c_dist = 15 * (1 - (numbers.distance(coverage_pos, (_x, _y)) / 6.0))
squad['position_map_scores'][coverage_pos]['member_coverage'] += _c_dist
squad['position_map_scores'][_v_p]['member_coverage'] += 6
return _v_p
def get_vantage_point(squad, member_id):
_member = entities.get_entity(member_id)
_member_pos = movement.get_position(_member)
_best_vantage = {'position': None, 'score': 1000}
_engage_range = flags.get_flag(_member, 'engage_distance')
_min_engage_range = flags.get_flag(_member, 'min_engage_distance')
if _member['movement']['path']['destination']:
if _member['movement']['path']['destination'] in squad[
'position_map_scores']:
_scores = squad['position_map_scores'][_member['movement']['path']
['destination']]
_score = _scores['vantage'] # + _scores['member_coverage']
_continue = False
for target_id in squad['known_targets']:
_last_known_position = _member['ai']['life_memory'][target_id][
'last_seen_at']
_distance_to_target = numbers.distance(
_member['movement']['path']['destination'],
_last_known_position)
if _distance_to_target < _min_engage_range:
_continue = True
break
if not _continue and _scores[
'targets'] and _score >= _min_engage_range and _score <= _engage_range:
return _member['movement']['path']['destination']
for pos in squad['position_map_scores']:
_scores = squad['position_map_scores'][pos]
_dist = numbers.distance(_member_pos, pos)
_score = _scores['vantage'] + _dist
_continue = False
if not _scores[
'targets'] or _score - _dist < _min_engage_range or _score > _engage_range + _dist:
continue
for target_id in squad['known_targets']:
_last_known_position = _member['ai']['life_memory'][target_id][
'last_seen_at']
_distance_to_target = numbers.distance(pos, _last_known_position)
if _distance_to_target < _min_engage_range:
_continue = True
break
if _continue:
continue
if _score < _best_vantage['score']:
_astar_distance = len(
pathfinding.astar(_member_pos, pos,
zones.get_active_astar_map(),
zones.get_active_weight_map()))
_best_vantage['score'] = _score + _scores['member_coverage'] + int(
round((_astar_distance * .15)))
_best_vantage['position'] = pos[:]
if not _best_vantage['position']:
_member['ai']['meta']['has_firing_position'] = False
entities.trigger_event(_member,
'create_timer',
time=60,
exit_callback=_reset_fire_position)
return
_x, _y = movement.get_position(_member)
_member_positions = set()
for squad_member_id in squad['members']:
if squad_member_id == member_id:
continue
_member_positions.add(movement.get_position_via_id(squad_member_id))
_v_p = _best_vantage['position']
_friendly_fire = False
for pos in shapes.line((_x, _y), _best_vantage['position']):
if pos in _member_positions:
_friendly_fire = True
break
if _friendly_fire:
for n_pos in [(_v_p[0] - 1, _v_p[1] - 1), (_v_p[0], _v_p[1] - 1),
(_v_p[0] + 1, _v_p[1] - 1), (_v_p[0] - 1, _v_p[1]),
(_v_p[0] + 1, _v_p[1]), (_v_p[0] - 1, _v_p[1] + 1),
(_v_p[0], _v_p[1] + 1), (_v_p[0] + 1, _v_p[1] + 1)]:
if not n_pos in squad['position_map_scores']:
continue
_break = False
for nn_pos in shapes.line((_x, _y), n_pos):
if nn_pos in _member_positions:
_break = True
break
else:
_v_p = n_pos
break
if _break:
continue
for coverage_pos in shapes.circle(_v_p[0], _v_p[1], 6):
if not coverage_pos in squad['position_map_scores']:
continue
_c_dist = 15 * (1 - (numbers.distance(coverage_pos, (_x, _y)) / 6.0))
squad['position_map_scores'][coverage_pos][
'member_coverage'] += _c_dist
squad['position_map_scores'][_v_p]['member_coverage'] += 6
return _v_p
def search_for_target(entity):
_lost_targets = entity['ai']['targets_to_search']
_inside = zones.get_active_inside_positions()
if not _lost_targets:
print 'Trying to search with no lost targets'
return
_closest_target = {'distance': 0, 'target_id': None}
for target_id in _lost_targets:
_memory = entity['ai']['life_memory'][target_id]
_distance = numbers.distance(movement.get_position(entity),
_memory['last_seen_at'])
if not _closest_target[
'target_id'] or _distance < _closest_target['distance']:
_closest_target['target_id'] = target_id
_closest_target['distance'] = _distance
_target = entities.get_entity(_closest_target['target_id'])
_solids = zones.get_active_solids(entity)
if flags.has_flag(entity, 'search_nodes'):
_search_for_target(entity, _target['_id'])
return
_x, _y = movement.get_position(entity)
_tx, _ty = entity['ai']['life_memory'][_target['_id']]['last_seen_at']
_nodes_to_search = {}
if entity['ai']['life_memory'][_target['_id']]['last_seen_velocity']:
_vx, _vy = entity['ai']['life_memory'][
_target['_id']]['last_seen_velocity']
_tx + _vx * 6
_ty + _vy * 6
entities.trigger_event(entity,
'set_flag',
flag='search_nodes',
value=_nodes_to_search)
for node_x, node_y in zones.get_active_node_grid():
_distance = numbers.distance((_tx, _ty), (node_x, node_y))
if _distance >= 30:
continue
if not (node_x, node_y) in _inside:
continue
_continue = False
for pos in shapes.line((_tx, _ty), (node_x, node_y)):
if pos in _solids:
_continue = True
break
if _continue:
continue
if _distance in _nodes_to_search:
if not (node_x, node_y) in _nodes_to_search[_distance]:
_nodes_to_search[_distance].append((node_x, node_y))
else:
_nodes_to_search[_distance] = [(node_x, node_y)]
