def manage_hands(life):
for item in [lfe.get_inventory_item(life, item) for item in lfe.get_held_items(life)]:
judgement.judge_item(life, item["uid"])
_known_item = brain.get_remembered_item(life, item["uid"])
if _known_item["score"]: # judgement.get_score_of_highest_scoring_item(life):
continue
_equip_action = {"action": "equipitem", "item": item["uid"]}
if len(lfe.find_action(life, matches=[_equip_action])):
return True
if lfe.can_wear_item(life, item["uid"]):
lfe.add_action(life, _equip_action, 401, delay=lfe.get_item_access_time(life, item["uid"]))
return True
_storage = lfe.can_put_item_in_storage(life, item["uid"])
if not "CAN_WEAR" in item["flags"] and _storage:
_store_action = {"action": "storeitem", "item": item["uid"], "container": _storage}
if len(lfe.find_action(life, matches=[_store_action])):
continue
lfe.add_action(life, _store_action, 401, delay=lfe.get_item_access_time(life, item["uid"]))
return True
return False
def manage_inventory(life):
if manage_hands(life):
return False
for weapon_uid in combat.get_equipped_weapons(life):
if not combat.weapon_is_working(life, weapon_uid):
if combat.weapon_is_in_preferred_working_condition(life, weapon_uid):
if not len(lfe.find_action(life,matches=[{'action': 'refillammo'}])):
combat.reload_weapon(life, weapon_uid)
return True
_item_to_wear = {'score': 0, 'item_uid': None}
_item_to_equip = {'score': 0, 'item_uid': None}
for item in [lfe.get_inventory_item(life, item) for item in lfe.get_all_unequipped_items(life)]:
judgement.judge_item(life, item['uid'])
_known_item = brain.get_remembered_item(life, item['uid'])
if _known_item['score']:
if lfe.can_wear_item(life, item['uid']):
if _known_item['score'] > _item_to_wear['score']:
_item_to_wear['score'] = _known_item['score']
_item_to_wear['item_uid'] = item['uid']
else:
if rawparse.raw_has_section(life, 'items') and rawparse.raw_section_has_identifier(life, 'items', item['type']):
_action = lfe.execute_raw(life, 'items', item['type'])
if item['type'] == 'gun' and lfe.get_all_equipped_items(life, matches=[{'type': 'gun'}]):
continue
if _action == 'equip':
if _known_item['score'] > _item_to_equip['score']:
_item_to_equip['score'] = _known_item['score']
_item_to_equip['item_uid'] = item['uid']
_item = None
if _item_to_wear['score'] > _item_to_equip['score']:
_item = _item_to_wear['item_uid']
elif _item_to_equip['item_uid']:
_item = _item_to_equip['item_uid']
if _item:
_equip_action = {'action': 'equipitem', 'item': _item}
if len(lfe.find_action(life, matches=[_equip_action])):
return False
lfe.add_action(life,
_equip_action,
401,
delay=lfe.get_item_access_time(life, _item))
return False
return True
def position_to_attack(life, target):
if lfe.find_action(life, [{'action': 'dijkstra_move', 'reason': 'positioning for attack'}]):
if not lfe.ticker(life, 'attack_position', 4):
return False
_target_positions, _zones = combat.get_target_positions_and_zones(life, [target])
_nearest_target_score = zones.dijkstra_map(life['pos'], _target_positions, _zones, return_score=True)
#TODO: Short or long-range weapon?
#if _nearest_target_score >= sight.get_vision(life)/2:
if not sight.can_see_position(life, brain.knows_alife_by_id(life, target)['last_seen_at'], block_check=True, strict=True) or sight.view_blocked_by_life(life, _target_positions[0], allow=[target]):
print life['name'], 'changing position for combat...', life['name'], LIFE[target]['name']
_avoid_positions = []
for life_id in life['seen']:
if life_id == target or life['id'] == life_id:
continue
if alife.judgement.can_trust(life, life_id):
_avoid_positions.append(lfe.path_dest(LIFE[life_id]))
else:
_avoid_positions.append(brain.knows_alife_by_id(life, life_id)['last_seen_at'])
_cover = _target_positions
_zones = []
for pos in _cover:
_zone = zones.get_zone_at_coords(pos)
if not _zone in _zones:
_zones.append(_zone)
if not lfe.find_action(life, [{'action': 'dijkstra_move', 'orig_goals': _cover[:], 'avoid_positions': _avoid_positions}]):
lfe.stop(life)
lfe.add_action(life, {'action': 'dijkstra_move',
'rolldown': True,
'goals': _cover[:],
'orig_goals': _cover[:],
'avoid_positions': _avoid_positions,
'reason': 'positioning for attack'},
999)
return False
else:
return False
elif life['path']:
lfe.stop(life)
return True
def manage_hands(life):
for item in [
lfe.get_inventory_item(life, item)
for item in lfe.get_held_items(life)
]:
judgement.judge_item(life, item['uid'])
_known_item = brain.get_remembered_item(life, item['uid'])
for weapon in combat.get_equipped_weapons(life):
if item['type'] == ITEMS[weapon]['feed'] and len(
item['rounds']) >= 5:
combat.load_feed(life, weapon, item['uid'])
return True
if _known_item[
'score']: #judgement.get_score_of_highest_scoring_item(life):
continue
_equip_action = {'action': 'equipitem', 'item': item['uid']}
if len(lfe.find_action(life, matches=[_equip_action])):
return True
if lfe.can_wear_item(life, item['uid']):
lfe.add_action(life,
_equip_action,
401,
delay=lfe.get_item_access_time(life, item['uid']))
return True
_storage = lfe.can_put_item_in_storage(life, item['uid'])
if not 'CAN_WEAR' in item['flags'] and _storage:
_store_action = {
'action': 'storeitem',
'item': item['uid'],
'container': _storage
}
if len(lfe.find_action(life, matches=[_store_action])):
continue
lfe.add_action(life,
_store_action,
401,
delay=lfe.get_item_access_time(life, item['uid']))
return True
return False
def escape(life, targets):
_avoid_positions = []
_zones = [zones.get_zone_at_coords(life['pos'])]
if lfe.find_action(life, [{
'action': 'dijkstra_move',
'reason': 'escape'
}]):
if lfe.ticker(life, 'escape_refresh', 4):
lfe.stop(life)
else:
return False
for target_id in targets:
_target = brain.knows_alife_by_id(life, target_id)
_zone = zones.get_zone_at_coords(_target['last_seen_at'])
if not _zone in _zones:
_zones.append(_zone)
_avoid_positions.append(_target['last_seen_at'])
lfe.add_action(
life, {
'action': 'dijkstra_move',
'rolldown': False,
'zones': _zones,
'goals': _avoid_positions,
'reason': 'escape'
}, 100)
def escape(life, targets):
_avoid_positions = []
_zones = [zones.get_zone_at_coords(life['pos'])]
if lfe.find_action(life, [{'action': 'dijkstra_move', 'reason': 'escape'}]):
if lfe.ticker(life, 'escape_refresh', 4):
lfe.stop(life)
else:
return False
for target_id in targets:
_target = brain.knows_alife_by_id(life, target_id)
_zone = zones.get_zone_at_coords(_target['last_seen_at'])
if not _zone in _zones:
_zones.append(_zone)
_avoid_positions.append(_target['last_seen_at'])
lfe.add_action(life, {'action': 'dijkstra_move',
'rolldown': False,
'zones': _zones,
'goals': _avoid_positions,
'reason': 'escape'},
100)
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 _refill_feed(life, feed):
if not lfe.is_holding(life, feed['uid']) and not lfe.can_hold_item(life):
logging.warning('No hands free to load ammo!')
return False
if not lfe.get_held_items(life, matches=[{'id': feed['uid']}]) and lfe.item_is_stored(life, feed['uid']) and not lfe.find_action(life, matches=[{'action': 'removeandholditem'}]):
lfe.add_action(life,{'action': 'removeandholditem',
'item': feed['uid']},
200,
delay=0)
return False
#TODO: No check for ammo type.
_loading_rounds = len(lfe.find_action(life,matches=[{'action': 'refillammo'}]))
if _loading_rounds >= len(lfe.get_all_inventory_items(life,matches=[{'type': 'bullet', 'ammotype': feed['ammotype']}])):
#TODO: What?
if not _loading_rounds:
return True
return False
if len(lfe.find_action(life,matches=[{'action': 'refillammo'}])):
return False
_rounds = len(feed['rounds'])
if _rounds>=feed['maxrounds']:
print 'Full?'
return True
_ammo_count = len(lfe.get_all_inventory_items(life,matches=[{'type': 'bullet', 'ammotype': feed['ammotype']}]))
_ammo_count += len(feed['rounds'])
_rounds_to_load = numbers.clip(_ammo_count,0,feed['maxrounds'])
for ammo in lfe.get_all_inventory_items(life,matches=[{'type': 'bullet', 'ammotype': feed['ammotype']}])[:_rounds_to_load]:
lfe.add_action(life,{'action': 'refillammo',
'ammo': feed,
'round': ammo},
200,
delay=3)
_rounds += 1
return False
def _refill_feed(life, feed):
if not lfe.is_holding(life, feed['uid']) and not lfe.can_hold_item(life):
logging.warning('No hands free to load ammo!')
return False
if not lfe.get_held_items(life, matches=[{'id': feed['uid']}]) and lfe.item_is_stored(life, feed['uid']) and not lfe.find_action(life, matches=[{'action': 'removeandholditem'}]):
lfe.add_action(life,{'action': 'removeandholditem',
'item': feed['uid']},
200,
delay=0)
return False
#TODO: No check for ammo type.
_loading_rounds = len(lfe.find_action(life, matches=[{'action': 'refillammo'}]))
_bullets_in_inventory = len(lfe.get_all_inventory_items(life, matches=[{'type': 'bullet', 'ammotype': feed['ammotype']}]))
if _loading_rounds:# >= _bullets_in_inventory:
return False
if len(lfe.find_action(life,matches=[{'action': 'refillammo'}])):
return False
_rounds = len(feed['rounds'])
if _rounds>=feed['maxrounds'] or (not _bullets_in_inventory and _rounds):
print 'Full?'
return True
_ammo_count = len(lfe.get_all_inventory_items(life,matches=[{'type': 'bullet', 'ammotype': feed['ammotype']}]))
_ammo_count += len(feed['rounds'])
_rounds_to_load = numbers.clip(_ammo_count,0,feed['maxrounds'])
for ammo in lfe.get_all_inventory_items(life,matches=[{'type': 'bullet', 'ammotype': feed['ammotype']}])[:_rounds_to_load]:
lfe.add_action(life,{'action': 'refillammo',
'ammo': feed,
'round': ammo},
200,
delay=3)
_rounds += 1
return False
def load_feed(life, weapon_uid, feed_uid):
_load_action = {'action': 'reload',
'weapon': ITEMS[weapon_uid],
'ammo': ITEMS[feed_uid]}
if lfe.find_action(life, matches=[_load_action]):
return False
lfe.add_action(life, _load_action, 200, delay=0)
return True
def guard_camp(life):
_delay = random.randint(25, jobs.get_job_detail(life['job'], 'pause'))
if not life['path'] and not lfe.find_action(life, matches=[{'action': 'move'}]):
_chunk = WORLD_INFO['chunk_map'][references.find_least_populated_key_in_reference(life, CAMPS[life['camp']]['reference'])]
lfe.add_action(life,{'action': 'move',
'to': random.choice(_chunk['ground'])},
200,
delay=_delay)
return False
def load_feed(life, weapon_uid, feed_uid):
_load_action = {'action': 'reload',
'weapon': ITEMS[weapon_uid],
'ammo': ITEMS[feed_uid]}
if lfe.find_action(life, matches=[_load_action]):
return False
lfe.add_action(life, _load_action, 200, delay=0)
return True
def manage_hands(life):
for item in [lfe.get_inventory_item(life, item) for item in lfe.get_held_items(life)]:
judgement.judge_item(life, item['uid'])
_known_item = brain.get_remembered_item(life, item['uid'])
for weapon in combat.get_equipped_weapons(life):
if item['type'] == ITEMS[weapon]['feed'] and len(item['rounds'])>=5:
combat.load_feed(life, weapon, item['uid'])
return True
if _known_item['score']:#judgement.get_score_of_highest_scoring_item(life):
continue
_equip_action = {'action': 'equipitem',
'item': item['uid']}
if len(lfe.find_action(life, matches=[_equip_action])):
return True
if lfe.can_wear_item(life, item['uid']):
lfe.add_action(life, _equip_action,
401,
delay=lfe.get_item_access_time(life, item['uid']))
return True
_storage = lfe.can_put_item_in_storage(life, item['uid'])
if not 'CAN_WEAR' in item['flags'] and _storage:
_store_action = {'action': 'storeitem',
'item': item['uid'],
'container': _storage}
if len(lfe.find_action(life, matches=[_store_action])):
continue
lfe.add_action(life,_store_action,
401,
delay=lfe.get_item_access_time(life, item['uid']))
return True
return False
def search_for_target(life, target_id):
#TODO: Variable size instead of hardcoded
_know = brain.knows_alife_by_id(life, target_id)
_size = 30
if brain.alife_has_flag(life, target_id, 'search_map'):
_search_map = brain.get_alife_flag(life, target_id, 'search_map')
else:
_search_map = maps.create_search_map(life, _know['last_seen_at'], _size)
brain.flag_alife(life, target_id, 'search_map', value=_search_map)
lfe.stop(life)
lfe.walk_to(life, _know['last_seen_at'][:2])
if life['path'] or lfe.find_action(life, matches=[{'action': 'move'}]):
return False
_lowest = {'score': -1, 'pos': None}
_x_top_left = numbers.clip(_know['last_seen_at'][0]-(_size/2), 0, MAP_SIZE[0])
_y_top_left = numbers.clip(_know['last_seen_at'][1]-(_size/2), 0, MAP_SIZE[1])
for x in range(0, _size):
_x = _x_top_left+x
if _x >= MAP_SIZE[0]-1:
continue
for y in range(0, _size):
_y = _y_top_left+y
if _y >= MAP_SIZE[1]-1:
continue
if not _search_map[y, x]:
continue
if sight.can_see_position(life, (_x, _y)):
_search_map[y, x] = 0
if _search_map[y, x]>0 and (not _lowest['pos'] or _search_map[y, x] <= _lowest['score']):
_lowest['score'] = _search_map[y, x]
_lowest['pos'] = (_x, _y, x, y)
if _lowest['pos']:
x, y, _x, _y = _lowest['pos']
if travel_to_position(life, (x, y, _know['last_seen_at'][2]), stop_on_sight=True):
_search_map[_y, _x] = 0
else:
_know['escaped'] = 2
def manage_inventory(life):
if manage_hands(life):
return False
for weapon_uid in combat.get_equipped_weapons(life):
if not combat.weapon_is_working(life, weapon_uid):
if combat.weapon_is_in_preferred_working_condition(life, weapon_uid):
combat.reload_weapon(life, weapon_uid)
return True
_item_to_wear = {"score": 0, "item_uid": None}
_item_to_equip = {"score": 0, "item_uid": None}
for item in [lfe.get_inventory_item(life, item) for item in lfe.get_all_unequipped_items(life)]:
judgement.judge_item(life, item["uid"])
_known_item = brain.get_remembered_item(life, item["uid"])
if _known_item["score"]:
if lfe.can_wear_item(life, item["uid"]):
if _known_item["score"] > _item_to_wear["score"]:
_item_to_wear["score"] = _known_item["score"]
_item_to_wear["item_uid"] = item["uid"]
else:
if rawparse.raw_has_section(life, "items") and rawparse.raw_section_has_identifier(
life, "items", item["type"]
):
_action = lfe.execute_raw(life, "items", item["type"])
if _action == "equip":
if _known_item["score"] > _item_to_equip["score"]:
_item_to_equip["score"] = _known_item["score"]
_item_to_equip["item_uid"] = item["uid"]
_item = None
if _item_to_wear["score"] > _item_to_equip["score"]:
_item = _item_to_wear["item_uid"]
elif _item_to_equip["item_uid"]:
_item = _item_to_equip["item_uid"]
if _item:
_equip_action = {"action": "equipitem", "item": _item}
if len(lfe.find_action(life, matches=[_equip_action])):
return False
lfe.add_action(life, _equip_action, 401, delay=lfe.get_item_access_time(life, _item))
return True
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.walk_to(life, _highest["item"]["pos"])
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 guard_camp(life):
_delay = random.randint(25, jobs.get_job_detail(life['job'], 'pause'))
if not life['path'] and not lfe.find_action(life,
matches=[{
'action': 'move'
}]):
_chunk = WORLD_INFO['chunk_map'][
references.find_least_populated_key_in_reference(
life, CAMPS[life['camp']]['reference'])]
lfe.add_action(life, {
'action': 'move',
'to': random.choice(_chunk['ground'])
},
200,
delay=_delay)
return False
def ranged_combat(life, targets):
_target = 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
if not life['path'] or not numbers.distance(lfe.path_dest(life), _target['last_seen_at']) == 0:
movement.position_to_attack(life, _target['life']['id'])
if sight.can_see_position(life, _target['last_seen_at'], block_check=True, strict=True) and not sight.view_blocked_by_life(life, _target['last_seen_at'], allow=[_target['life']['id']]):
if sight.can_see_position(life, _target['life']['pos']):
if not len(lfe.find_action(life, matches=[{'action': 'shoot'}])):
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'},
5000,
delay=int(round(life['recoil']-stats.get_recoil_recovery_rate(life))))
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'], 'waiting...'
return False
def escape(life, targets):
_avoid_positions = []
_zones = [zones.get_zone_at_coords(life["pos"])]
if lfe.find_action(life, [{"action": "dijkstra_move", "reason": "escape"}]):
if lfe.ticker(life, "escape_refresh", 4):
lfe.stop(life)
else:
return False
for target_id in targets:
_target = brain.knows_alife_by_id(life, target_id)
_zone = zones.get_zone_at_coords(_target["last_seen_at"])
if not _zone in _zones:
_zones.append(_zone)
_avoid_positions.append(_target["last_seen_at"])
lfe.add_action(
life,
{"action": "dijkstra_move", "rolldown": False, "zones": _zones, "goals": _avoid_positions, "reason": "escape"},
100,
)
def hide(life, targets):
_target_positions = []
_avoid_positions = []
_zones = [zones.get_zone_at_coords(life["pos"])]
if lfe.find_action(life, [{"action": "dijkstra_move", "reason": "escaping"}]):
if not lfe.ticker(life, "escaping", 6):
return False
# What can the targets see?
for target_id in targets:
_target = brain.knows_alife_by_id(life, target_id)
_zone = zones.get_zone_at_coords(_target["last_seen_at"])
if not _zone in _zones:
_zones.append(_zone)
fov.fov(
_target["last_seen_at"],
sight.get_vision(_target["life"]),
callback=lambda pos: _avoid_positions.append(pos),
)
# What can we see?
_can_see_positions = []
fov.fov(life["pos"], sight.get_vision(life), callback=lambda pos: _can_see_positions.append(pos))
# If there are no visible targets, we could be running away from a position we were attacked from
_cover_exposed_at = brain.get_flag(life, "cover_exposed_at")
if _cover_exposed_at:
_avoid_exposed_cover_positions = set()
for pos in _cover_exposed_at[:]:
if tuple(pos[:2]) in _can_see_positions:
_cover_exposed_at.remove(pos)
continue
fov.fov(
pos,
int(round(sight.get_vision(life) * 0.25)),
callback=lambda pos: _avoid_exposed_cover_positions.add(pos),
)
for pos in _avoid_exposed_cover_positions:
if not pos in _avoid_positions:
_avoid_positions.append(pos)
else:
print "Something went wrong"
return False
# Overlay the two, finding positions we can see but the target can't
for pos in _can_see_positions[:]:
if pos in _avoid_positions:
_can_see_positions.remove(pos)
continue
# Get rid of positions that are too close
for target_id in targets:
_target = brain.knows_alife_by_id(life, target_id)
if numbers.distance(_target["last_seen_at"], pos) < 4:
_can_see_positions.remove(pos)
break
# Now scan for cover to prevent hiding in the open
for pos in _can_see_positions[:]:
if chunks.get_chunk(chunks.get_chunk_key_at(pos))["max_z"] == 2:
_can_see_positions.remove(pos)
if not _can_see_positions:
if life["pos"] in _cover_exposed_at:
_cover_exposed_at.remove(life["pos"])
return False
if lfe.find_action(life, [{"action": "dijkstra_move", "goals": _can_see_positions[:]}]):
return True
lfe.stop(life)
lfe.add_action(
life,
{
"action": "dijkstra_move",
"rolldown": True,
"zones": _zones,
"goals": _can_see_positions[:],
"reason": "escaping",
},
200,
)
def escape(life, targets):
_target_positions = []
_avoid_positions = []
_zones = [zones.get_zone_at_coords(life['pos'])]
if lfe.find_action(life, [{'action': 'dijkstra_move', 'reason': 'escaping'}]):
if not lfe.ticker(life, 'escaping', 4):
return False
#What can the targets see?
for target_id in targets:
_target = brain.knows_alife_by_id(life, target_id)
_zone = zones.get_zone_at_coords(_target['last_seen_at'])
if not _zone in _zones:
_zones.append(_zone)
fov.fov(_target['last_seen_at'], sight.get_vision(_target['life']), callback=lambda pos: _avoid_positions.append(pos))
#What can we see?
_can_see_positions = []
fov.fov(life['pos'], sight.get_vision(life), callback=lambda pos: _can_see_positions.append(pos))
#If there are no visible targets, we could be running away from a position we were attacked from
_cover_exposed_at = brain.get_flag(life, 'cover_exposed_at')
if _cover_exposed_at:
_avoid_exposed_cover_positions = set()
for pos in _cover_exposed_at[:]:
if tuple(pos[:2]) in _can_see_positions:
print 'ok!!!'*20
_cover_exposed_at.remove(pos)
continue
fov.fov(pos, int(round(sight.get_vision(life)*.25)), callback=lambda pos: _avoid_exposed_cover_positions.add(pos))
for pos in _avoid_exposed_cover_positions:
if not pos in _avoid_positions:
_avoid_positions.append(pos)
#Overlay the two, finding positions we can see but the target can't
for pos in _can_see_positions[:]:
if pos in _avoid_positions:
_can_see_positions.remove(pos)
continue
#Get rid of positions that are too close
for target_id in targets:
_target = brain.knows_alife_by_id(life, target_id)
#TODO: Unhardcode 15
if numbers.distance(_target['last_seen_at'], pos)<10:
_can_see_positions.remove(pos)
break
#Now scan for cover to prevent hiding in the open
for pos in _can_see_positions[:]:
if chunks.get_chunk(chunks.get_chunk_key_at(pos))['max_z'] == 2:
_can_see_positions.remove(pos)
#for target_id in targets:
#_target = brain.knows_alife_by_id(life, target_id)
#_target_positions.append(_target['last_seen_at'][:])
#_zone = zones.get_zone_at_coords(_target['last_seen_at'])
#if not _zone in _zones:
# _zones.append(_zone)
#for chunk_key in chunks.get_visible_chunks_from(_target['last_seen_at'], sight.get_vision(_target['life'])):
# if chunk_key in _visible_target_chunks:
# continue
# _visible_target_chunks.append(chunk_key)
#for friendly_id in life['seen']:
# _chunk_key = lfe.get_current_chunk_id(LIFE[friendly_id])
#
# if not _chunk_key in _visible_target_chunks:
# _visible_target_chunks.append(_chunk_key)
#if not _target_positions:
# return False
#TODO: #combat: For lower limit in return_score_in_range, use range of weapon
#_cover = zones.dijkstra_map(life['pos'],
# _avoid_positions,
# _zones,
# avoid_chunks=[],
# return_score_in_range=[1, 5]) # sight.get_vision(life)
#_cover = [(c[0], c[1], life['pos'][2]) for c in _cover]
#if not _cover:
# return False
#_zones = [zones.get_zone_at_coords(life['pos'])]
#for _pos in _cover:
# _zone = zones.get_zone_at_coords(_pos)
# if not _zone in _zones:
# _zones.append(_zone)
if not _can_see_positions:
return False
if lfe.find_action(life, [{'action': 'dijkstra_move', 'goals': _can_see_positions[:]}]):
return True
lfe.stop(life)
lfe.add_action(life, {'action': 'dijkstra_move',
'rolldown': True,
'zones': _zones,
'goals': _can_see_positions[:],
'reason': 'escaping'},
999)
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)
def hide(life, targets):
_target_positions = []
_avoid_positions = []
_zones = [zones.get_zone_at_coords(life['pos'])]
if lfe.find_action(life, [{
'action': 'dijkstra_move',
'reason': 'escaping'
}]):
if not lfe.ticker(life, 'escaping', 6):
return False
#What can the targets see?
for target_id in targets:
_target = brain.knows_alife_by_id(life, target_id)
_zone = zones.get_zone_at_coords(_target['last_seen_at'])
if not _zone in _zones:
_zones.append(_zone)
fov.fov(_target['last_seen_at'],
sight.get_vision(_target['life']),
callback=lambda pos: _avoid_positions.append(pos))
#What can we see?
_can_see_positions = []
fov.fov(life['pos'],
sight.get_vision(life),
callback=lambda pos: _can_see_positions.append(pos))
#If there are no visible targets, we could be running away from a position we were attacked from
_cover_exposed_at = brain.get_flag(life, 'cover_exposed_at')
if _cover_exposed_at:
_avoid_exposed_cover_positions = set()
for pos in _cover_exposed_at[:]:
if tuple(pos[:2]) in _can_see_positions:
_cover_exposed_at.remove(pos)
continue
fov.fov(
pos,
int(round(sight.get_vision(life) * .25)),
callback=lambda pos: _avoid_exposed_cover_positions.add(pos))
for pos in _avoid_exposed_cover_positions:
if not pos in _avoid_positions:
_avoid_positions.append(pos)
else:
print 'Something went wrong'
return False
#Overlay the two, finding positions we can see but the target can't
for pos in _can_see_positions[:]:
if pos in _avoid_positions:
_can_see_positions.remove(pos)
continue
#Get rid of positions that are too close
for target_id in targets:
_target = brain.knows_alife_by_id(life, target_id)
if bad_numbers.distance(_target['last_seen_at'], pos) < 4:
_can_see_positions.remove(pos)
break
#Now scan for cover to prevent hiding in the open
for pos in _can_see_positions[:]:
if chunks.get_chunk(chunks.get_chunk_key_at(pos))['max_z'] == 2:
_can_see_positions.remove(pos)
if not _can_see_positions:
if life['pos'] in _cover_exposed_at:
_cover_exposed_at.remove(life['pos'])
return False
if lfe.find_action(life, [{
'action': 'dijkstra_move',
'goals': _can_see_positions[:]
}]):
return True
lfe.stop(life)
lfe.add_action(
life, {
'action': 'dijkstra_move',
'rolldown': True,
'zones': _zones,
'goals': _can_see_positions[:],
'reason': 'escaping'
}, 200)
def position_to_attack(life, target, engage_distance):
if lfe.find_action(life, [{
'action': 'dijkstra_move',
'reason': 'positioning for attack'
}]):
if not lfe.ticker(life, 'attack_position', 4):
return False
_target_positions, _zones = combat.get_target_positions_and_zones(
life, [target])
_can_see = alife.sight.can_see_position(life,
_target_positions[0],
get_path=True)
_distance = bad_numbers.distance(life['pos'], _target_positions[0])
if _can_see and len(_can_see) < engage_distance * .85:
if life['path']:
lfe.stop(life)
elif _distance < engage_distance * .9:
_avoid_positions = set()
_target_area = set()
for life_id in alife.judgement.get_trusted(life,
visible=False,
only_recent=True):
fov.fov(LIFE[life_id]['pos'],
int(round(sight.get_vision(life) * .25)),
callback=lambda pos: _avoid_positions.add(pos))
fov.fov(_target_positions[0],
int(round(sight.get_vision(life) * .15)),
callback=lambda pos: _target_area.add(pos))
_min_view_distance = int(round(sight.get_vision(life) * .25))
_max_view_distance = int(round(sight.get_vision(life) * .5))
_attack_positions = set(
zones.dijkstra_map(
life['pos'],
_target_positions,
_zones,
rolldown=True,
return_score_in_range=[_min_view_distance,
_max_view_distance]))
_attack_positions = _attack_positions - _target_area
if not _attack_positions:
return False
if not lfe.find_action(life, [{
'action': 'dijkstra_move',
'orig_goals': list(_attack_positions),
'avoid_positions': list(_avoid_positions)
}]):
lfe.stop(life)
lfe.add_action(
life, {
'action':
'dijkstra_move',
'rolldown':
True,
'goals': [
list(p)
for p in random.sample(_attack_positions,
len(_attack_positions) / 2)
],
'orig_goals':
list(_attack_positions),
'avoid_positions':
list(_avoid_positions),
'reason':
'positioning for attack'
}, 999)
return False
else:
_can_see_positions = set()
_target_area = set()
_avoid_positions = set()
fov.fov(life['pos'],
int(round(sight.get_vision(life) * .75)),
callback=lambda pos: _can_see_positions.add(pos))
fov.fov(_target_positions[0],
int(round(sight.get_vision(life) * .75)),
callback=lambda pos: _target_area.add(pos))
for life_id in alife.judgement.get_trusted(life,
visible=False,
only_recent=True):
_path_dest = lfe.path_dest(LIFE[life_id])
if not _path_dest:
continue
if len(_path_dest) == 2:
_path_dest = list(_path_dest[:])
_path_dest.append(LIFE[life_id]['pos'][2])
fov.fov(_path_dest,
5,
callback=lambda pos: _avoid_positions.add(pos))
_avoid_positions = list(_avoid_positions)
_sneak_positions = _can_see_positions - _target_area
_move_positions = zones.dijkstra_map(LIFE[target]['pos'],
list(_sneak_positions),
_zones,
rolldown=True)
if not _move_positions:
travel_to_position(life, list(_target_positions[0]))
return False
if not lfe.find_action(life, [{
'action': 'dijkstra_move',
'orig_goals': _move_positions,
'avoid_positions': _avoid_positions
}]):
lfe.stop(life)
lfe.add_action(
life, {
'action': 'dijkstra_move',
'rolldown': True,
'goals': [list(p) for p in _move_positions],
'orig_goals': _move_positions,
'avoid_positions': _avoid_positions,
'reason': 'positioning for attack'
}, 999)
return False
return True
def fire(life, target, limb=None):
#TODO: Don't breathe this!
weapon = get_weapon_to_fire(life)
if not weapon:
return False
_aim_with_limb = None
for hand in life['hands']:
if weapon['uid'] in lfe.get_limb(life, hand)['holding']:
_aim_with_limb = hand
_ooa = False
_feed_uid = get_feed(weapon)
if not _feed_uid:
if 'player' in life:
gfx.message('The weapon is unloaded.')
_ooa = True
return False
_feed = items.get_item_from_uid(_feed_uid)
if not _feed or (_feed and not _feed['rounds']):
if 'player' in life:
gfx.message('*Click* (You are out of ammo.)')
_ooa = True
return False
_bullet_deviation = (1 - weapon['accuracy']) + life['recoil']
_deviation_mod = SETTINGS['aim_difficulty'] * (1 - (
(life['stats']['firearms'] / 10.0) * SETTINGS['firearms_skill_mod']))
_direction_deviation = (_bullet_deviation *
SETTINGS['aim_difficulty']) * _deviation_mod
life['recoil'] = bad_numbers.clip(
life['recoil'] + (weapon['recoil'] * get_stance_recoil_mod(life)), 0.0,
1.0)
_bullet_direction = bad_numbers.direction_to(life['pos'], target) + (
random.uniform(-_direction_deviation, _direction_deviation))
alife.noise.create(life['pos'],
120,
'%s fire' % weapon['name'],
'something discharge',
target=life['id'])
#TODO: Clean this up...
_bullet = items.get_item_from_uid(_feed['rounds'].pop())
_bullet['pos'] = life['pos'][:]
_bullet['start_pos'] = life['pos'][:]
_bullet['owner'] = None
_bullet['shot_by'] = life['id']
_bullet['aim_at_limb'] = limb
items.add_to_chunk(_bullet)
if gfx.position_is_in_frame(life['pos']) or 'player' in life:
effects.create_light(life['pos'], tcod.yellow, 7, 1, fade=3.2)
effects.create_light(_bullet['pos'],
tcod.yellow,
7,
.9,
fade=.65,
follow_item=_bullet['uid'])
effects.create_smoke_cloud(life['pos'], 3, color=tcod.light_gray)
effects.create_smoke(life['pos'], color=tcod.yellow)
_bullet['accuracy'] = int(
round(get_accuracy(life, weapon['uid'], limb=_aim_with_limb)))
print 'ACCURACY', _bullet['accuracy']
del _bullet['parent']
items.move(_bullet, _bullet_direction, _bullet['max_speed'])
_bullet['start_velocity'] = _bullet['velocity'][:]
items.tick_item(_bullet)
for _life in [LIFE[i] for i in LIFE]:
if _life['pos'][0] == target[0] and _life['pos'][1] == target[1]:
life['aim_at'] = _life['id']
break
if len(lfe.find_action(life, matches=[{'action': 'shoot'}])) == 1:
life['firing'] = None
def manage_inventory(life):
if manage_hands(life):
return False
for weapon_uid in combat.get_equipped_weapons(life):
if not combat.weapon_is_working(life, weapon_uid):
if combat.weapon_is_in_preferred_working_condition(
life, weapon_uid):
if not len(
lfe.find_action(life,
matches=[{
'action': 'refillammo'
}])):
combat.reload_weapon(life, weapon_uid)
return True
_item_to_wear = {'score': 0, 'item_uid': None}
_item_to_equip = {'score': 0, 'item_uid': None}
for item in [
lfe.get_inventory_item(life, item)
for item in lfe.get_all_unequipped_items(life)
]:
judgement.judge_item(life, item['uid'])
_known_item = brain.get_remembered_item(life, item['uid'])
if _known_item['score']:
if lfe.can_wear_item(life, item['uid']):
if _known_item['score'] > _item_to_wear['score']:
_item_to_wear['score'] = _known_item['score']
_item_to_wear['item_uid'] = item['uid']
else:
if rawparse.raw_has_section(
life, 'items') and rawparse.raw_section_has_identifier(
life, 'items', item['type']):
_action = lfe.execute_raw(life, 'items', item['type'])
if item['type'] == 'gun' and lfe.get_all_equipped_items(
life, matches=[{
'type': 'gun'
}]):
continue
if _action == 'equip':
if _known_item['score'] > _item_to_equip['score']:
_item_to_equip['score'] = _known_item['score']
_item_to_equip['item_uid'] = item['uid']
_item = None
if _item_to_wear['score'] > _item_to_equip['score']:
_item = _item_to_wear['item_uid']
elif _item_to_equip['item_uid']:
_item = _item_to_equip['item_uid']
if _item:
_equip_action = {'action': 'equipitem', 'item': _item}
if len(lfe.find_action(life, matches=[_equip_action])):
return False
lfe.add_action(life,
_equip_action,
401,
delay=lfe.get_item_access_time(life, _item))
return False
return True
def fire(life, target, limb=None):
#TODO: Don't breathe this!
weapon = get_weapon_to_fire(life)
if not weapon:
return False
_aim_with_limb = None
for hand in life['hands']:
if weapon['uid'] in lfe.get_limb(life, hand)['holding']:
_aim_with_limb = hand
_ooa = False
_feed_uid = get_feed(weapon)
if not _feed_uid:
if 'player' in life:
gfx.message('The weapon is unloaded.')
_ooa = True
return False
_feed = items.get_item_from_uid(_feed_uid)
if not _feed or (_feed and not _feed['rounds']):
if 'player' in life:
gfx.message('*Click* (You are out of ammo.)')
_ooa = True
return False
direction = numbers.direction_to(life['pos'],target)+(random.uniform(-life['recoil'], life['recoil']))
alife.noise.create(life['pos'], 120, '%s fire' % weapon['name'], 'something discharge')
#TODO: Clean this up...
_bullet = items.get_item_from_uid(_feed['rounds'].pop())
_bullet['pos'] = life['pos'][:]
_bullet['start_pos'] = life['pos'][:]
_bullet['owner'] = None
_bullet['shot_by'] = life['id']
_bullet['aim_at_limb'] = limb
life['recoil'] += _bullet['recoil']*(weapon['recoil']*get_stance_recoil_mod(life))
items.add_to_chunk(_bullet)
if gfx.position_is_in_frame(life['pos']):
effects.create_light(life['pos'], tcod.yellow, 7, 1, fade=3.5)
effects.create_light(_bullet['pos'], tcod.yellow, 7, 1, fade=0.65, follow_item=_bullet['uid'])
effects.create_smoke_cloud(life['pos'], 3, color=tcod.light_gray)
effects.create_smoke(life['pos'], color=tcod.yellow)
_bullet['accuracy'] = int(round(get_accuracy(life, weapon['uid'], limb=_aim_with_limb)))
del _bullet['parent']
items.move(_bullet, direction, _bullet['max_speed'])
_bullet['start_velocity'] = _bullet['velocity'][:]
items.tick_item(_bullet)
for _life in [LIFE[i] for i in LIFE]:
if _life['pos'][0] == target[0] and _life['pos'][1] == target[1]:
life['aim_at'] = _life['id']
break
if len(lfe.find_action(life, matches=[{'action': 'shoot'}])) == 1:
life['firing'] = None
def position_to_attack(life, target, engage_distance):
if lfe.find_action(life, [{"action": "dijkstra_move", "reason": "positioning for attack"}]):
if not lfe.ticker(life, "attack_position", 4):
return False
_target_positions, _zones = combat.get_target_positions_and_zones(life, [target])
_can_see = alife.sight.can_see_position(life, _target_positions[0], get_path=True)
_distance = numbers.distance(life["pos"], _target_positions[0])
if _can_see and len(_can_see) < engage_distance * 0.85:
if life["path"]:
lfe.stop(life)
elif _distance < engage_distance * 0.9:
_avoid_positions = set()
_target_area = set()
for life_id in alife.judgement.get_trusted(life, visible=False, only_recent=True):
fov.fov(
LIFE[life_id]["pos"],
int(round(sight.get_vision(life) * 0.25)),
callback=lambda pos: _avoid_positions.add(pos),
)
fov.fov(
_target_positions[0], int(round(sight.get_vision(life) * 0.15)), callback=lambda pos: _target_area.add(pos)
)
_min_view_distance = int(round(sight.get_vision(life) * 0.25))
_max_view_distance = int(round(sight.get_vision(life) * 0.5))
_attack_positions = set(
zones.dijkstra_map(
life["pos"],
_target_positions,
_zones,
rolldown=True,
return_score_in_range=[_min_view_distance, _max_view_distance],
)
)
_attack_positions = _attack_positions - _target_area
if not _attack_positions:
return False
if not lfe.find_action(
life,
[
{
"action": "dijkstra_move",
"orig_goals": list(_attack_positions),
"avoid_positions": list(_avoid_positions),
}
],
):
lfe.stop(life)
lfe.add_action(
life,
{
"action": "dijkstra_move",
"rolldown": True,
"goals": [list(p) for p in random.sample(_attack_positions, len(_attack_positions) / 2)],
"orig_goals": list(_attack_positions),
"avoid_positions": list(_avoid_positions),
"reason": "positioning for attack",
},
999,
)
return False
else:
_can_see_positions = set()
_target_area = set()
_avoid_positions = set()
fov.fov(
life["pos"], int(round(sight.get_vision(life) * 0.75)), callback=lambda pos: _can_see_positions.add(pos)
)
fov.fov(
_target_positions[0], int(round(sight.get_vision(life) * 0.75)), callback=lambda pos: _target_area.add(pos)
)
for life_id in alife.judgement.get_trusted(life, visible=False, only_recent=True):
_path_dest = lfe.path_dest(LIFE[life_id])
if not _path_dest:
continue
if len(_path_dest) == 2:
_path_dest = list(_path_dest[:])
_path_dest.append(LIFE[life_id]["pos"][2])
fov.fov(_path_dest, 5, callback=lambda pos: _avoid_positions.add(pos))
_avoid_positions = list(_avoid_positions)
_sneak_positions = _can_see_positions - _target_area
_move_positions = zones.dijkstra_map(LIFE[target]["pos"], list(_sneak_positions), _zones, rolldown=True)
if not _move_positions:
travel_to_position(life, list(_target_positions[0]))
return False
if not lfe.find_action(
life, [{"action": "dijkstra_move", "orig_goals": _move_positions, "avoid_positions": _avoid_positions}]
):
lfe.stop(life)
lfe.add_action(
life,
{
"action": "dijkstra_move",
"rolldown": True,
"goals": [list(p) for p in _move_positions],
"orig_goals": _move_positions,
"avoid_positions": _avoid_positions,
"reason": "positioning for attack",
},
999,
)
return False
return True
