def explore_unknown_chunks(life):
if life['path']:
return True
_chunk_key = references.path_along_reference(life, 'roads')
if not _chunk_key:
return False
_walkable_area = chunks.get_walkable_areas(_chunk_key)
if not _walkable_area:
print 'no walkable area'
return False
_closest_pos = {'pos': None, 'distance': -1}
for pos in _walkable_area:
_distance = numbers.distance(life['pos'], pos)
if _distance <= 1:
_closest_pos['pos'] = pos
break
if not _closest_pos['pos'] or _distance < _closest_pos['distance']:
_closest_pos['pos'] = pos
_closest_pos['distance'] = _distance
lfe.clear_actions(life)
lfe.add_action(life, {'action': 'move', 'to': _closest_pos['pos']}, 200)
return True
def explore_known_chunks(life):
# Our first order of business is to figure out exactly what we're looking for.
# There's a big difference between exploring the map looking for a purpose and
# exploring the map with a purpose. Both will use similar routines but I wager
# it'll actually be a lot harder to do it without there being some kind of goal
# to at least start us in the right direction.
# This function will kick in only if the ALife is idling, so looting is handled
# automatically.
# Note: Determining whether this fuction should run at all needs to be done inside
# the module itself.
_chunk_key = brain.retrieve_from_memory(life, "explore_chunk")
_chunk = maps.get_chunk(_chunk_key)
if life["path"] and chunks.position_is_in_chunk(lfe.path_dest(life), _chunk_key):
return True
if chunks.is_in_chunk(life, "%s,%s" % (_chunk["pos"][0], _chunk["pos"][1])):
life["known_chunks"][_chunk_key]["last_visited"] = WORLD_INFO["ticks"]
return False
if not _chunk["ground"]:
return False
_pos_in_chunk = random.choice(_chunk["ground"])
lfe.clear_actions(life)
lfe.add_action(life, {"action": "move", "to": _pos_in_chunk}, 200)
return True
def find_target(life, target, distance=5, follow=False, call=True):
_target = brain.knows_alife_by_id(life, target)
_dist = numbers.distance(life['pos'], _target['last_seen_at'])
_can_see = sight.can_see_target(life, target)
if _can_see and _dist<=distance:
if follow:
return True
lfe.stop(life)
return True
if _target['escaped'] == 1:
search_for_target(life, target)
return False
if not _can_see and sight.can_see_position(life, _target['last_seen_at']) and _dist<distance:
if call:
if not _target['escaped']:
memory.create_question(life, target, 'GET_LOCATION')
speech.communicate(life, 'call', matches=[target])
_target['escaped'] = 1
return False
if not lfe.path_dest(life) == tuple(_target['last_seen_at'][:2]):
lfe.clear_actions(life)
lfe.add_action(life,
{'action': 'move','to': _target['last_seen_at'][:2]},
200)
return False
def explore_unknown_chunks(life):
if life['path']:
return True
_chunk_key = references.path_along_reference(life, 'roads')
if not _chunk_key:
return False
_walkable_area = chunks.get_walkable_areas(_chunk_key)
if not _walkable_area:
print 'no walkable area'
return False
_closest_pos = {'pos': None, 'distance': -1}
for pos in _walkable_area:
_distance = bad_numbers.distance(life['pos'], pos)
if _distance <= 1:
_closest_pos['pos'] = pos
break
if not _closest_pos['pos'] or _distance<_closest_pos['distance']:
_closest_pos['pos'] = pos
_closest_pos['distance'] = _distance
lfe.clear_actions(life)
lfe.add_action(life,{'action': 'move','to': _closest_pos['pos']},200)
return True
def understand(life):
if SETTINGS['controlling']:
_dist_to_player = numbers.distance(life['pos'], LIFE[SETTINGS['controlling']]['pos'])
if _dist_to_player < 100:
if life['think_rate_max']>=30:
if _dist_to_player < 75:
life['think_rate_max'] = 1
life['online'] = True
logging.debug('[Agent] %s brought online (Reason: Near viewer)' % ' '.join(life['name']))
else:
life['think_rate_max'] = 1
else:
if _dist_to_player >= OFFLINE_ALIFE_DISTANCE and life['online']:
life['online'] = False
logging.debug('[Agent] %s went offline (Reason: Away from viewer)' % ' '.join(life['name']))
elif life['think_rate_max']<30:
if _dist_to_player < OFFLINE_ALIFE_DISTANCE:
life['online'] = True
logging.debug('[Agent] %s went passive (Reason: Away from viewer)' % ' '.join(life['name']))
life['think_rate_max'] = numbers.clip(15*(((_dist_to_player-100)+30)/30), 30, 60)
else:
life['think_rate_max'] = 5
if not life['online'] or life['asleep']:
return False
if len(life['actions'])-len(lfe.find_action(life, matches=[{'action': 'move'}, {'action': 'dijkstra_move'}]))>0:
lfe.clear_actions(life)
life['path'] = []
return False
if life['think_rate']>0:
life['think_rate'] -= 1
return False
for module in CONSTANT_MODULES:
module.setup(life)
life['think_rate'] = life['think_rate_max']
#if life['name'][0].startswith('Tim'):
# _goal, _tier, _plan = planner.get_next_goal(life, debug='attack')
#else:
_goal, _tier, _plan = planner.get_next_goal(life)
if _goal:
lfe.change_goal(life, _goal, _tier, _plan)
else:
lfe.change_goal(life, 'idle', TIER_RELAXED, [])
#logging.error('%s has no possible goal.' % ' '.join(life['name']))
return False
planner.think(life)
def collect_nearby_wanted_items(life,
only_visible=True,
matches={'type': 'gun'}):
_highest = {'item': None, 'score': -100000}
_nearby = sight.find_known_items(life,
matches=matches,
only_visible=only_visible)
for item in _nearby:
_item = brain.get_remembered_item(life, item)
_score = _item['score']
_score -= bad_numbers.distance(life['pos'], ITEMS[item]['pos'])
if not _highest['item'] or _score > _highest['score']:
_highest['score'] = _score
_highest['item'] = ITEMS[item]
if not _highest['item']:
return True
_empty_hand = lfe.get_open_hands(life)
if not _empty_hand:
print 'No open hands, managing....'
for item_uid in lfe.get_held_items(life):
_container = lfe.can_put_item_in_storage(life, item_uid)
lfe.add_action(life, {
'action': 'storeitem',
'item': item_uid,
'container': _container
},
200,
delay=lfe.get_item_access_time(life, item_uid))
return False
if life['pos'] == _highest['item']['pos']:
lfe.clear_actions(life)
for action in lfe.find_action(life,
matches=[{
'action': 'pickupholditem'
}]):
#print 'I was picking up something else...',_highest['item']['name']
return False
lfe.add_action(life, {
'action': 'pickupholditem',
'item': _highest['item']['uid'],
'hand': random.choice(_empty_hand)
},
200,
delay=lfe.get_item_access_time(life,
_highest['item']['uid']))
lfe.lock_item(life, _highest['item']['uid'])
else:
lfe.walk_to(life, _highest['item']['pos'])
return False
def conditions(life, alife_seen, alife_not_seen, targets_seen, targets_not_seen, source_map): RETURN_VALUE = STATE_UNCHANGED if not lfe.execute_raw(life, 'state', 'hide'): if life['state'] == STATE: lfe.clear_actions(life) return False if not life['state'] == STATE: RETURN_VALUE = STATE_CHANGE return RETURN_VALUE
def conditions(life, alife_seen, alife_not_seen, targets_seen,
targets_not_seen, source_map):
RETURN_VALUE = STATE_UNCHANGED
if not lfe.execute_raw(life, 'state', 'guard'):
if life['state'] == STATE:
lfe.clear_actions(life)
return False
if not life['state'] == STATE:
RETURN_VALUE = STATE_CHANGE
return RETURN_VALUE
def collect_nearby_wanted_items(life, only_visible=True, matches={"type": "gun"}):
_highest = {"item": None, "score": -100000}
_nearby = sight.find_known_items(life, matches=matches, only_visible=only_visible)
for item in _nearby:
_item = brain.get_remembered_item(life, item)
_score = _item["score"]
_score -= numbers.distance(life["pos"], ITEMS[item]["pos"])
if not _highest["item"] or _score > _highest["score"]:
_highest["score"] = _score
_highest["item"] = ITEMS[item]
if not _highest["item"]:
return True
_empty_hand = lfe.get_open_hands(life)
if not _empty_hand:
print "No open hands, managing...."
for item_uid in lfe.get_held_items(life):
_container = lfe.can_put_item_in_storage(life, item_uid)
lfe.add_action(
life,
{"action": "storeitem", "item": item_uid, "container": _container},
200,
delay=lfe.get_item_access_time(life, item_uid),
)
return False
if life["pos"] == _highest["item"]["pos"]:
lfe.clear_actions(life)
for action in lfe.find_action(life, matches=[{"action": "pickupholditem"}]):
# print 'I was picking up something else...',_highest['item']['name']
return False
lfe.add_action(
life,
{"action": "pickupholditem", "item": _highest["item"]["uid"], "hand": random.choice(_empty_hand)},
200,
delay=lfe.get_item_access_time(life, _highest["item"]["uid"]),
)
lfe.lock_item(life, _highest["item"]["uid"])
else:
lfe.walk_to(life, _highest["item"]["pos"])
return False
def travel_to_position(life, pos, stop_on_sight=False):
if stop_on_sight and sight.can_see_position(life, pos):
return True
if not numbers.distance(life['pos'], pos):
return True
_dest = lfe.path_dest(life)
if _dest and tuple(_dest[:2]) == tuple(pos[:2]):
return False
lfe.clear_actions(life)
lfe.add_action(life,{'action': 'move','to': (pos[0],pos[1])},200)
return False
def collect_nearby_wanted_items(life, only_visible=True, matches={'type': 'gun'}):
_highest = {'item': None,'score': -100000}
_nearby = sight.find_known_items(life, matches=matches, only_visible=only_visible)
for item in _nearby:
_item = brain.get_remembered_item(life, item)
_score = _item['score']
_score -= numbers.distance(life['pos'], ITEMS[item]['pos'])
if not _highest['item'] or _score > _highest['score']:
_highest['score'] = _score
_highest['item'] = ITEMS[item]
if not _highest['item']:
return True
_empty_hand = lfe.get_open_hands(life)
if not _empty_hand:
print 'No open hands, managing....'
for item_uid in lfe.get_held_items(life):
_container = lfe.can_put_item_in_storage(life, item_uid)
lfe.add_action(life, {'action': 'storeitem',
'item': item_uid,
'container': _container},
200,
delay=lfe.get_item_access_time(life, item_uid))
return False
if life['pos'] == _highest['item']['pos']:
lfe.clear_actions(life)
for action in lfe.find_action(life, matches=[{'action': 'pickupholditem'}]):
#print 'I was picking up something else...',_highest['item']['name']
return False
lfe.add_action(life,{'action': 'pickupholditem',
'item': _highest['item']['uid'],
'hand': random.choice(_empty_hand)},
200,
delay=lfe.get_item_access_time(life, _highest['item']['uid']))
lfe.lock_item(life, _highest['item']['uid'])
else:
lfe.clear_actions(life)
lfe.add_action(life,{'action': 'move','to': _highest['item']['pos'][:2]},200)
return False
def explore_unknown_chunks(life):
if life["path"]:
return True
_chunk_key = references.path_along_reference(life, "roads")
if not _chunk_key:
_best_reference = references._find_best_unknown_reference(life, "roads")["reference"]
if not _best_reference:
return False
_chunk_key = references.find_nearest_key_in_reference(life, _best_reference, unknown=True, threshold=15)
if not _chunk_key:
return False
_walkable_area = chunks.get_walkable_areas(_chunk_key)
if not _walkable_area:
print "no walkable area"
return False
_closest_pos = {"pos": None, "distance": -1}
for pos in _walkable_area:
_distance = numbers.distance(life["pos"], pos)
if _distance <= 1:
_closest_pos["pos"] = pos
break
if not _closest_pos["pos"] or _distance < _closest_pos["distance"]:
_closest_pos["pos"] = pos
_closest_pos["distance"] = _distance
lfe.clear_actions(life)
lfe.add_action(life, {"action": "move", "to": _closest_pos["pos"]}, 200)
return True
def ranged_combat(life, targets):
_target = brain.knows_alife_by_id(life, get_closest_target(life, targets))
#if not _target:
# for target_id in targets:
# if brain.knows_alife_by_id(life, target_id)['escaped']:
# continue
#
# brain.knows_alife_by_id(life, target_id)['escaped'] = 1
#
# logging.error('No target for ranged combat.')
#
# return False
_engage_distance = get_engage_distance(life)
_path_dest = lfe.path_dest(life)
if not _path_dest:
_path_dest = life['pos'][:]
_target_distance = bad_numbers.distance(life['pos'], _target['last_seen_at'])
#Get us near the target
#if _target['last_seen_at']:
movement.position_to_attack(life, _target['life']['id'], _engage_distance)
if sight.can_see_position(life, _target['last_seen_at']):
if _target_distance <= _engage_distance:
if sight.can_see_position(life, _target['life']['pos']):
if not sight.view_blocked_by_life(life, _target['life']['pos'], allow=[_target['life']['id']]):
lfe.clear_actions(life)
if not len(lfe.find_action(life, matches=[{'action': 'shoot'}])) and _target['time_visible']>2:
for i in range(weapons.get_rounds_to_fire(weapons.get_weapon_to_fire(life))):
lfe.add_action(life, {'action': 'shoot',
'target': _target['last_seen_at'],
'target_id': _target['life']['id'],
'limb': 'chest'},
300,
delay=int(round(life['recoil']-stats.get_recoil_recovery_rate(life))))
else:
_friendly_positions, _friendly_zones = get_target_positions_and_zones(life, judgement.get_trusted(life))
_friendly_zones.append(zones.get_zone_at_coords(life['pos']))
_friendly_positions.append(life['pos'][:])
if not lfe.find_action(life, [{'action': 'dijkstra_move', 'orig_goals': [_target['life']['pos'][:]], 'avoid_positions': _friendly_positions}]):
lfe.add_action(life, {'action': 'dijkstra_move',
'rolldown': True,
'zones': _friendly_zones,
'goals': [_target['life']['pos'][:]],
'orig_goals': [_target['life']['pos'][:]],
'avoid_positions': _friendly_positions,
'reason': 'combat_position'},
100)
else:
lfe.memory(life,'lost sight of %s' % (' '.join(_target['life']['name'])), target=_target['life']['id'])
_target['escaped'] = 1
for send_to in judgement.get_trusted(life):
speech.communicate(life,
'target_missing',
target=_target['life']['id'],
matches=[send_to])
#else:
#print life['name']
#_friendly_positions, _friendly_zones = get_target_positions_and_zones(life, judgement.get_trusted(life))
#_friendly_zones.append(zones.get_zone_at_coords(life['pos']))
#_friendly_positions.append(life['pos'][:])
#if not lfe.find_action(life, [{'action': 'dijkstra_move', 'orig_goals': [_target['life']['pos'][:]], 'avoid_positions': _friendly_positions}]):
# lfe.add_action(life, {'action': 'dijkstra_move',
# 'rolldown': True,
# 'zones': _friendly_zones,
# 'goals': [_target['life']['pos'][:]],
# 'orig_goals': [_target['life']['pos'][:]],
# 'avoid_positions': _friendly_positions,
# 'reason': 'combat_position'},
# 100)
#
# print '2'
else:
return False
def ranged_combat(life, targets):
_target = brain.knows_alife_by_id(life, get_closest_target(life, targets))
#if not _target:
# for target_id in targets:
# if brain.knows_alife_by_id(life, target_id)['escaped']:
# continue
#
# brain.knows_alife_by_id(life, target_id)['escaped'] = 1
#
# logging.error('No target for ranged combat.')
#
# return False
_engage_distance = get_engage_distance(life)
_path_dest = lfe.path_dest(life)
if not _path_dest:
_path_dest = life['pos'][:]
_target_distance = bad_numbers.distance(life['pos'],
_target['last_seen_at'])
#Get us near the target
#if _target['last_seen_at']:
movement.position_to_attack(life, _target['life']['id'], _engage_distance)
if sight.can_see_position(life, _target['last_seen_at']):
if _target_distance <= _engage_distance:
if sight.can_see_position(life, _target['life']['pos']):
if not sight.view_blocked_by_life(
life,
_target['life']['pos'],
allow=[_target['life']['id']]):
lfe.clear_actions(life)
if not len(
lfe.find_action(
life, matches=[{
'action': 'shoot'
}])) and _target['time_visible'] > 2:
for i in range(
weapons.get_rounds_to_fire(
weapons.get_weapon_to_fire(life))):
lfe.add_action(
life, {
'action': 'shoot',
'target': _target['last_seen_at'],
'target_id': _target['life']['id'],
'limb': 'chest'
},
300,
delay=int(
round(
life['recoil'] -
stats.get_recoil_recovery_rate(life))))
else:
_friendly_positions, _friendly_zones = get_target_positions_and_zones(
life, judgement.get_trusted(life))
_friendly_zones.append(
zones.get_zone_at_coords(life['pos']))
_friendly_positions.append(life['pos'][:])
if not lfe.find_action(
life, [{
'action': 'dijkstra_move',
'orig_goals': [_target['life']['pos'][:]],
'avoid_positions': _friendly_positions
}]):
lfe.add_action(
life, {
'action': 'dijkstra_move',
'rolldown': True,
'zones': _friendly_zones,
'goals': [_target['life']['pos'][:]],
'orig_goals': [_target['life']['pos'][:]],
'avoid_positions': _friendly_positions,
'reason': 'combat_position'
}, 100)
else:
lfe.memory(life,
'lost sight of %s' %
(' '.join(_target['life']['name'])),
target=_target['life']['id'])
_target['escaped'] = 1
for send_to in judgement.get_trusted(life):
speech.communicate(life,
'target_missing',
target=_target['life']['id'],
matches=[send_to])
#else:
#print life['name']
#_friendly_positions, _friendly_zones = get_target_positions_and_zones(life, judgement.get_trusted(life))
#_friendly_zones.append(zones.get_zone_at_coords(life['pos']))
#_friendly_positions.append(life['pos'][:])
#if not lfe.find_action(life, [{'action': 'dijkstra_move', 'orig_goals': [_target['life']['pos'][:]], 'avoid_positions': _friendly_positions}]):
# lfe.add_action(life, {'action': 'dijkstra_move',
# 'rolldown': True,
# 'zones': _friendly_zones,
# 'goals': [_target['life']['pos'][:]],
# 'orig_goals': [_target['life']['pos'][:]],
# 'avoid_positions': _friendly_positions,
# 'reason': 'combat_position'},
# 100)
#
# print '2'
else:
return False
def understand(life):
if SETTINGS['controlling']:
_dist_to_player = numbers.distance(
life['pos'], LIFE[SETTINGS['controlling']]['pos'])
if _dist_to_player < 100:
if life['think_rate_max'] >= 30:
if _dist_to_player < 75:
life['think_rate_max'] = 1
life['online'] = True
logging.debug(
'[Agent] %s brought online (Reason: Near viewer)' %
' '.join(life['name']))
else:
life['think_rate_max'] = 1
else:
if _dist_to_player >= OFFLINE_ALIFE_DISTANCE and life['online']:
life['online'] = False
logging.debug(
'[Agent] %s went offline (Reason: Away from viewer)' %
' '.join(life['name']))
elif life['think_rate_max'] < 30:
if _dist_to_player < OFFLINE_ALIFE_DISTANCE:
life['online'] = True
logging.debug(
'[Agent] %s went passive (Reason: Away from viewer)' %
' '.join(life['name']))
life['think_rate_max'] = numbers.clip(
15 * (((_dist_to_player - 100) + 30) / 30), 30, 60)
else:
life['think_rate_max'] = 5
if not life['online'] or life['asleep']:
return False
if len(life['actions']) - len(
lfe.find_action(life,
matches=[{
'action': 'move'
}, {
'action': 'dijkstra_move'
}])) > 0:
lfe.clear_actions(life)
life['path'] = []
return False
if life['think_rate'] > 0:
life['think_rate'] -= 1
return False
for module in CONSTANT_MODULES:
module.setup(life)
life['think_rate'] = life['think_rate_max']
#if life['name'][0].startswith('Tim'):
# _goal, _tier, _plan = planner.get_next_goal(life, debug='attack')
#else:
_goal, _tier, _plan = planner.get_next_goal(life)
if _goal:
lfe.change_goal(life, _goal, _tier, _plan)
else:
lfe.change_goal(life, 'idle', TIER_RELAXED, [])
#logging.error('%s has no possible goal.' % ' '.join(life['name']))
return False
planner.think(life)
