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 conditions(life, alife_seen, alife_not_seen, targets_seen, targets_not_seen, source_map):
RETURN_VALUE = STATE_UNCHANGED
_mode = None
if lfe.execute_raw(life, 'state', 'combat'):
_mode = 'combat'
if not _mode and lfe.execute_raw(life, 'state', 'hunt'):
_mode = 'hunt'
if not _mode:
return False
if not lfe.execute_raw(life, 'combat', 'ranged') and not lfe.execute_raw(life, 'combat', 'melee'):
return False
if not life['state'] == STATE:
life['state_flags'] = {}
stats.battle_cry(life)
if gfx.position_is_in_frame(life['pos']) and SETTINGS['controlling']:
_can_see = sight.can_see_position(life, LIFE[SETTINGS['controlling']]['pos'])
if _can_see:
_knows = brain.knows_alife_by_id(life, SETTINGS['controlling'])
if _knows and judgement.can_trust(life, SETTINGS['controlling']):
if lfe.ticker(life, 'enter_combat_message', 3, fire=True):
logic.show_event('%s readies up.' % ' '.join(life['name']), life=life)
RETURN_VALUE = STATE_CHANGE
brain.flag(life, 'combat_mode', value=_mode)
return RETURN_VALUE
def tick(life, alife_seen, alife_not_seen, targets_seen, targets_not_seen, source_map): if lfe.ticker(life, 'call_for_help', 160, fire=True): _target = judgement.get_nearest_threat(life) _knows = brain.knows_alife_by_id(life, _target) if _target and judgement.get_nearest_trusted_target(life): if _knows: speech.announce(life, 'attacked_by_hostile', public=True, target_id=_target, last_seen_at=_knows['last_seen_at']) else: speech.announce(life, 'attacked_by_hostile', public=True, target_id=_target)
def tick(life, alife_seen, alife_not_seen, targets_seen, targets_not_seen, source_map): if lfe.ticker(life, 'call_for_help', 160, fire=True): _target = judgement.get_nearest_threat(life) _knows = brain.knows_alife_by_id(life, _target) if _target and judgement.get_nearest_trusted_target(life): if _knows: speech.announce(life, 'attacked_by_hostile', public=True, target_id=_target, last_seen_at=_knows['last_seen_at']) else: speech.announce(life, 'attacked_by_hostile', public=True, target_id=_target)
def judge_chunk_visually(life, chunk_id):
if not chunk_id in life['known_chunks']:
life['known_chunks'][chunk_id] = {'last_visited': -1,
'last_seen': -1,
'last_checked': -1,
'discovered_at': WORLD_INFO['ticks'],
'flags': {},
'life': [],
'score': 0}
if lfe.ticker(life, 'judge_shelters', 5):
if lfe.execute_raw(life, 'discover', 'remember_shelter'):
judge_shelter(life, chunk_id)
def judge_chunk_life(life, chunk_id): if lfe.ticker(life, 'judge_chunk_life_tick', 30): return False _score = 0 for life_id in life['known_chunks'][chunk_id]['life']: _target = brain.knows_alife_by_id(life, life_id) _is_here = False _actually_here = False if not _target['last_seen_at'] or not chunks.position_is_in_chunk(_target['last_seen_at'], chunk_id) and not _target['life']['path']: continue return _score
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 judge_chunk_visually(life, chunk_id):
if not chunk_id in life["known_chunks"]:
life["known_chunks"][chunk_id] = {
"last_visited": -1,
"last_seen": -1,
"last_checked": -1,
"discovered_at": WORLD_INFO["ticks"],
"flags": {},
"life": [],
"score": 0,
}
if lfe.ticker(life, "judge_shelters", 5):
if lfe.execute_raw(life, "discover", "remember_shelter"):
judge_shelter(life, chunk_id)
def judge_chunk_life(life, chunk_id):
if lfe.ticker(life, "judge_chunk_life_tick", 30):
return False
_score = 0
for life_id in life["known_chunks"][chunk_id]["life"]:
_target = brain.knows_alife_by_id(life, life_id)
_is_here = False
_actually_here = False
if (
not _target["last_seen_at"]
or not chunks.position_is_in_chunk(_target["last_seen_at"], chunk_id)
and not _target["life"]["path"]
):
continue
return _score
def conditions(life, alife_seen, alife_not_seen, targets_seen,
targets_not_seen, source_map):
RETURN_VALUE = STATE_UNCHANGED
_mode = None
if lfe.execute_raw(life, 'state', 'combat'):
_mode = 'combat'
if not _mode and lfe.execute_raw(life, 'state', 'hunt'):
_mode = 'hunt'
if not _mode:
return False
if not lfe.execute_raw(life, 'combat', 'ranged') and not lfe.execute_raw(
life, 'combat', 'melee'):
return False
if not life['state'] == STATE:
life['state_flags'] = {}
stats.battle_cry(life)
if gfx.position_is_in_frame(life['pos']) and SETTINGS['controlling']:
_can_see = sight.can_see_position(
life, LIFE[SETTINGS['controlling']]['pos'])
if _can_see:
_knows = brain.knows_alife_by_id(life, SETTINGS['controlling'])
if _knows and judgement.can_trust(life,
SETTINGS['controlling']):
if lfe.ticker(life, 'enter_combat_message', 3, fire=True):
logic.show_event('%s readies up.' %
' '.join(life['name']),
life=life)
RETURN_VALUE = STATE_CHANGE
brain.flag(life, 'combat_mode', value=_mode)
return RETURN_VALUE
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 judge_chunk(life, chunk_id, visited=False, seen=False, checked=True, investigate=False):
if lfe.ticker(life, "judge_tick", 30):
return False
chunk = maps.get_chunk(chunk_id)
_score = 0
if not chunk_id in life["known_chunks"]:
life["known_chunks"][chunk_id] = {
"last_visited": -1,
"last_seen": -1,
"last_checked": -1,
"discovered_at": WORLD_INFO["ticks"],
"flags": {},
"life": [],
}
_camp = chunks.get_global_flag(chunk_id, "camp")
if _camp and not _camp in life["known_camps"]:
camps.discover_camp(life, _camp)
_known_chunk = life["known_chunks"][chunk_id]
if seen:
_known_chunk["last_seen"] = WORLD_INFO["ticks"]
if visited:
_known_chunk["last_visited"] = WORLD_INFO["ticks"]
_known_chunk["last_seen"] = WORLD_INFO["ticks"]
if checked:
_known_chunk["last_checked"] = WORLD_INFO["ticks"]
_trusted = 0
for _target in life["know"].values():
if not _target["last_seen_at"]:
continue
_is_here = False
_actually_here = False
if chunks.position_is_in_chunk(_target["last_seen_at"], chunk_id) and not _target["life"]["path"]:
_is_here = True
elif (
not _target["last_seen_time"]
and _target["life"]["path"]
and chunks.position_is_in_chunk(lfe.path_dest(_target["life"]), chunk_id)
):
_is_here = True
if chunks.position_is_in_chunk(_target["life"]["pos"], chunk_id):
_actually_here = True
if _is_here:
if not _target["life"]["id"] in _known_chunk["life"]:
_known_chunk["life"].append(_target["life"]["id"])
if is_target_dangerous(life, _target["life"]["id"]):
_score -= 10
elif life["group"] and groups.is_leader(life, life["group"], _target["life"]["id"]):
_trusted += _target["trust"]
else:
if _target["life"]["id"] in _known_chunk["life"]:
_known_chunk["life"].remove(_target["life"]["id"])
if investigate and not visited:
chunks.flag(life, chunk_id, "investigate", True)
elif visited and chunks.get_flag(life, chunk_id, "investigate"):
chunks.unflag(life, chunk_id, "investigate")
if chunks.get_flag(life, chunk_id, "investigate"):
_score += 5
# for camp in life['known_camps']:
# if not chunk_id in camps.get_camp(camp)['reference']:
# continue
# if not life['camp'] == camp['id']:
# continue
# if stats.desires_shelter(life):
# _score += judge_camp(life, life['camp'])
if lfe.execute_raw(life, "discover", "remember_shelter"):
judge_shelter(life, chunk_id)
# if stats.desires_interaction(life):
# _score += _trusted
if seen:
pass
# TODO: Still a good idea... maybe use for shelter?
# for item in chunk['items']:
# _item = brain.remember_known_item(life, item)
# if _item:
# _score += _item['score']
life["known_chunks"][chunk_id]["score"] = _score
return _score
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
def act(life): understand(life) if lfe.ticker(life, 'update_camps', UPDATE_CAMP_RATE): judgement.update_camps(life)
def act(life):
understand(life)
if lfe.ticker(life, 'update_camps', UPDATE_CAMP_RATE):
judgement.update_camps(life)
def judge_chunk(life, chunk_id, visited=False, seen=False, checked=True, investigate=False):
if lfe.ticker(life, 'judge_tick', 30):
return False
chunk = maps.get_chunk(chunk_id)
_score = 0
if not chunk_id in life['known_chunks']:
life['known_chunks'][chunk_id] = {'last_visited': -1,
'last_seen': -1,
'last_checked': -1,
'discovered_at': WORLD_INFO['ticks'],
'flags': {},
'life': []}
_camp = chunks.get_global_flag(chunk_id, 'camp')
if _camp and not _camp in life['known_camps']:
camps.discover_camp(life, _camp)
_known_chunk = life['known_chunks'][chunk_id]
if seen:
_known_chunk['last_seen'] = WORLD_INFO['ticks']
if visited:
_known_chunk['last_visited'] = WORLD_INFO['ticks']
_known_chunk['last_seen'] = WORLD_INFO['ticks']
if checked:
_known_chunk['last_checked'] = WORLD_INFO['ticks']
_trusted = 0
for _target in life['know'].values():
if not _target['last_seen_at']:
continue
_is_here = False
_actually_here = False
if chunks.position_is_in_chunk(_target['last_seen_at'], chunk_id) and not _target['life']['path']:
_is_here = True
elif not _target['last_seen_time'] and _target['life']['path'] and chunks.position_is_in_chunk(lfe.path_dest(_target['life']), chunk_id):
_is_here = True
if chunks.position_is_in_chunk(_target['life']['pos'], chunk_id):
_actually_here = True
if _is_here:
if not _target['life']['id'] in _known_chunk['life']:
_known_chunk['life'].append(_target['life']['id'])
if is_target_dangerous(life, _target['life']['id']):
_score -= 10
elif life['group'] and groups.is_leader(life, life['group'], _target['life']['id']):
_trusted += _target['trust']
else:
if _target['life']['id'] in _known_chunk['life']:
_known_chunk['life'].remove(_target['life']['id'])
if investigate and not visited:
chunks.flag(life, chunk_id, 'investigate', True)
elif visited and chunks.get_flag(life, chunk_id, 'investigate'):
chunks.unflag(life, chunk_id, 'investigate')
if chunks.get_flag(life, chunk_id, 'investigate'):
_score += 5
#for camp in life['known_camps']:
# if not chunk_id in camps.get_camp(camp)['reference']:
# continue
#if not life['camp'] == camp['id']:
# continue
#if stats.desires_shelter(life):
# _score += judge_camp(life, life['camp'])
if lfe.execute_raw(life, 'discover', 'remember_shelter'):
judge_shelter(life, chunk_id)
#if stats.desires_interaction(life):
# _score += _trusted
if seen:
pass
#TODO: Still a good idea... maybe use for shelter?
#for item in chunk['items']:
# _item = brain.remember_known_item(life, item)
# if _item:
# _score += _item['score']
life['known_chunks'][chunk_id]['score'] = _score
return _score
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 setup(life):
#TODO: Add these two values to an array called PANIC_STATES
#if not alife_seen:
# return False
#if brain.retrieve_from_memory(life, 'tension_spike') >= 10:
# lfe.say(life, '@n panics!', action=True)
_potential_talking_targets = []
for ai in life['seen']:
if not stats.can_talk_to(life, ai):
continue
#print life['name'], LIFE[ai]['name'], judgement.get_tension_with(life, ai)
if stats.has_attacked_self(life, ai):
stats.react_to_attack(life, ai)
elif 0<judgement.get_tension_with(life, ai)<=judgement.get_max_tension_with(life, ai):
stats.react_to_tension(life, ai)
else:
#if not stats.desires_first_contact_with(life, ai) and not stats.desires_conversation_with(life, ai):
# continue
if not stats.desires_conversation_with(life, ai):
continue
_potential_talking_targets.append(ai)
if not _potential_talking_targets:
if life['dialogs']:
_dialog = life['dialogs'][0]
dialog.process(life, _dialog)
if not lfe.ticker(life, 'talk', 6):
return False
if lfe.get_all_inventory_items(life, matches=[{'type': 'radio'}]):
for ai in life['know']:
if ai in _potential_talking_targets:
continue
if not stats.can_talk_to(life, ai):
continue
_potential_talking_targets.append(ai)
#TODO: Score these
random.shuffle(_potential_talking_targets)
for target in _potential_talking_targets:
if life['dialogs']:
break
#if stats.desires_first_contact_with(life, target):
# memory.create_question(life, target, 'establish_relationship', ignore_if_said_in_last=-1)
if memory.get_questions_for_target(life, target):
_question = memory.ask_target_question(life, target)
speech.start_dialog(life, target, _question['gist'], **_question['args'])
elif memory.get_orders_for_target(life, target):
speech.start_dialog(life, target, 'give_order')
elif stats.wants_group_member(life, target):
memory.create_question(life, target, 'recruit', ignore_if_said_in_last=-1, group_id=life['group'])
if life['dialogs']:
_dialog = life['dialogs'][0]
dialog.process(life, _dialog)
if not judgement.is_safe(life) and lfe.ticker(life, 'call_for_help', 90, fire=True):
_combat_targets = judgement.get_ready_combat_targets(life)
if _combat_targets:
if life['camp'] and camps.is_in_camp(life, lfe.get_current_camp(life)):
_nearest_camp = camps.get_nearest_known_camp(life)
raids.create_raid(_nearest_camp['id'], join=life['id'])
raids.add_raiders(_nearest_camp['id'], _combat_targets)
#TODO: Remove memory call
speech.announce(life,
'camp_raid',
camp=_nearest_camp,
raiders=_combat_targets)
if life['group']:
for target in _combat_targets:
_last_seen_at = None
_know = brain.knows_alife_by_id(life, target)
if _know:
_last_seen_at = _know['last_seen_at']
groups.distribute(life, 'under_attack', attacker=target, last_seen_at=_last_seen_at)
for target in judgement.get_ready_combat_targets(life):
_last_seen_at = None
_know = brain.knows_alife_by_id(life, target)
if _know:
_last_seen_at = _know['last_seen_at']
speech.announce(life, 'attacked_by_hostile', trusted=True, target_id=target, last_seen_at=_last_seen_at)
_visible_items = [life['know_items'][item] for item in life['know_items'] if not life['know_items'][item]['last_seen_time'] and not 'parent_id' in ITEMS[life['know_items'][item]['item']]]
for ai in [life['know'][i] for i in life['know']]:
if judgement.is_target_dangerous(life, ai['life']['id']):
continue
#if life['state'] == 'combat':
# break
if ai['life']['state'] in ['hiding', 'hidden']:
break
if not stats.can_talk_to(life, ai['life']['id']):
continue
for item in _visible_items:
#TODO: Check
if brain.has_shared_item_with(life, ai['life'], item['item']):
continue
if not item['item'] in ITEMS:
continue
brain.share_item_with(life, ai['life'], item['item'])
speech.communicate(life,
'share_item_info',
item=item['item'],
matches=[ai['life']['id']])
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 generate_needs(life):
if not lfe.ticker(life, 'generate_needs', 90, fire=True):
return False
if stats.desires_weapon(life):
brain.flag(life, 'no_weapon')
else:
brain.unflag(life, 'no_weapon')
if combat.get_weapons(life):
for weapon in combat.get_weapons(life):
_weapon_uid = weapon['uid']
#for _flag in ['ammo', 'feed']:
if len(combat.get_all_ammo_for_weapon(life, _weapon_uid)) >= 5:
_flag_name = '%s_needs_ammo' % _weapon_uid
_need = brain.get_flag(life, _flag_name)
if _need:
delete_needed_item(life, _need)
brain.unflag(life, _flag_name)
if combat.get_feeds_for_weapon(life, _weapon_uid):
_flag_name = '%s_needs_feed' % _weapon_uid
_need = brain.get_flag(life, _flag_name)
if _need:
delete_needed_item(life, _need)
brain.unflag(life, _flag_name)
if not combat.has_potentially_usable_weapon(
life) and not combat.has_ready_weapon(life):
#_weapon_with_feed = None
#for weapon in combat.get_weapons(life):
# if weapons.get_feed(weapon):
# _weapon_with_feed = weapon['uid']
# break
#if _weapon_with_feed:
# _weapon_uid = weapon['uid']
# _flag_name = '%s_needs_ammo' % _weapon_uid
# _n = add_needed_item(life,
# {'type': 'bullet', 'owner': None, 'ammotype': weapon['ammotype']},
# satisfy_if=action.make_small_script(function='get_flag',
# args={'flag': _flag_name}),
# satisfy_callback=action.make_small_script(return_function='pick_up_and_hold_item'))
#
# brain.flag(life, _flag_name, value=_n)
for weapon in combat.get_weapons(life):
_weapon_uid = weapon['uid']
_flag_name = '%s_needs_feed' % _weapon_uid
if combat.have_feed_and_ammo_for_weapon(life, _weapon_uid):
continue
#print 'feeds?', combat.get_feeds_for_weapon(life, _weapon_uid), [ITEMS[i]['name'] for i in lfe.get_held_items(life)]
if not combat.get_feeds_for_weapon(
life, _weapon_uid) and not brain.get_flag(
life, _flag_name):
_n = add_needed_item(
life, {
'type': weapon['feed'],
'owner': None,
'ammotype': weapon['ammotype']
},
satisfy_if=action.make_small_script(
function='get_flag', args={'flag': _flag_name}),
satisfy_callback=action.make_small_script(
return_function='pick_up_and_hold_item'))
brain.flag(life, _flag_name, value=_n)
_flag_name = '%s_needs_ammo' % _weapon_uid
if len(combat.get_all_ammo_for_weapon(
life, _weapon_uid)) < 5 and not brain.get_flag(
life, _flag_name):
_n = add_needed_item(
life, {
'type': 'bullet',
'owner': None,
'ammotype': weapon['ammotype']
},
satisfy_if=action.make_small_script(
function='get_flag', args={'flag': _flag_name}),
satisfy_callback=action.make_small_script(
return_function='pick_up_and_hold_item'))
brain.flag(life, _flag_name, value=_n)
def setup(life):
#TODO: Add these two values to an array called PANIC_STATES
#if not alife_seen:
# return False
#if brain.retrieve_from_memory(life, 'tension_spike') >= 10:
# lfe.say(life, '@n panics!', action=True)
_needs_help = stats.is_injured(life)
_potential_talking_targets = []
for ai in life['seen']:
if not stats.can_talk_to(life, ai):
continue
_relationship_change = stats.wants_alignment_change(life, ai)
#if 'player' in LIFE[ai]:
# print life['name'], LIFE[ai]['name'], judgement.get_tension_with(life, ai)>judgement.get_max_tension_with(life, ai), _relationship_change
if stats.has_attacked_self(life, ai):
stats.react_to_attack(life, ai)
elif judgement.get_tension_with(life, ai)>judgement.get_max_tension_with(life, ai):
stats.react_to_tension(life, ai)
elif _needs_help:
if stats.desires_help_from(life, ai):
stats.ask_for_help(life, ai)
elif _relationship_change:
speech.change_alignment(life, ai, _relationship_change)
else:
if not stats.desires_conversation_with(life, ai):
continue
_potential_talking_targets.append(ai)
if not _potential_talking_targets:
if life['dialogs']:
_dialog = life['dialogs'][0]
dialog.process(life, _dialog)
if not lfe.ticker(life, 'talk', 6):
return False
if lfe.get_all_inventory_items(life, matches=[{'type': 'radio'}]):
for ai in life['know']:
if ai in _potential_talking_targets:
continue
if not stats.can_talk_to(life, ai):
continue
_potential_talking_targets.append(ai)
#TODO: Score these
random.shuffle(_potential_talking_targets)
for target in _potential_talking_targets:
if life['dialogs']:
break
#if stats.desires_first_contact_with(life, target):
# memory.create_question(life, target, 'establish_relationship', ignore_if_said_in_last=-1)
if memory.get_questions_for_target(life, target) and numbers.distance(life['pos'], LIFE[target]['pos'])<=25:
_question = memory.ask_target_question(life, target)
speech.start_dialog(life, target, _question['gist'], **_question['args'])
elif memory.get_orders_for_target(life, target):
speech.start_dialog(life, target, 'give_order')
#elif stats.wants_group_member(life, target):
# memory.create_question(life, target, 'recruit', ignore_if_said_in_last=-1, group_id=life['group'])
if life['dialogs']:
_dialog = life['dialogs'][0]
dialog.process(life, _dialog)
if not judgement.is_safe(life) and lfe.ticker(life, 'call_for_help', 90, fire=True):
_combat_targets = judgement.get_ready_combat_targets(life)
if _combat_targets:
if life['camp'] and camps.is_in_camp(life, lfe.get_current_camp(life)):
_nearest_camp = camps.get_nearest_known_camp(life)
raids.create_raid(_nearest_camp['id'], join=life['id'])
raids.add_raiders(_nearest_camp['id'], _combat_targets)
#TODO: Remove memory call
speech.announce(life,
'camp_raid',
camp=_nearest_camp,
raiders=_combat_targets)
if life['group']:
for target in _combat_targets:
_last_seen_at = None
_know = brain.knows_alife_by_id(life, target)
if _know:
_last_seen_at = _know['last_seen_at']
groups.distribute(life, 'under_attack', attacker=target, last_seen_at=_last_seen_at)
for target in judgement.get_ready_combat_targets(life):
_last_seen_at = None
_know = brain.knows_alife_by_id(life, target)
if _know:
_last_seen_at = _know['last_seen_at']
speech.announce(life,
'attacked_by_hostile',
trusted=True,
target_id=target,
filter_if=lambda life_id: brain.knows_alife_by_id(life, life_id)['last_seen_time']<=30,
last_seen_at=_last_seen_at,
ignore_if_said_in_last=150)
_visible_items = [life['know_items'][item] for item in life['know_items'] if not life['know_items'][item]['last_seen_time'] and not 'parent_id' in ITEMS[life['know_items'][item]['item']]]
for ai in [life['know'][i] for i in life['know']]:
if judgement.is_target_dangerous(life, ai['life']['id']):
continue
#if life['state'] == 'combat':
# break
if ai['life']['state'] in ['hiding', 'hidden']:
break
if not stats.can_talk_to(life, ai['life']['id']):
continue
for item in _visible_items:
#TODO: Check
if brain.has_shared_item_with(life, ai['life'], item['item']):
continue
if not item['item'] in ITEMS:
continue
brain.share_item_with(life, ai['life'], item['item'])
speech.communicate(life,
'share_item_info',
item=item['item'],
matches=[ai['life']['id']])
def generate_needs(life):
if not lfe.ticker(life, "generate_needs", 90, fire=True):
return False
if stats.desires_weapon(life):
brain.flag(life, "no_weapon")
else:
brain.unflag(life, "no_weapon")
if combat.get_weapons(life):
for weapon in combat.get_weapons(life):
_weapon_uid = weapon["uid"]
# for _flag in ['ammo', 'feed']:
if len(combat.get_all_ammo_for_weapon(life, _weapon_uid)) >= 5:
_flag_name = "%s_needs_ammo" % _weapon_uid
_need = brain.get_flag(life, _flag_name)
if _need:
delete_needed_item(life, _need)
brain.unflag(life, _flag_name)
if combat.get_feeds_for_weapon(life, _weapon_uid):
_flag_name = "%s_needs_feed" % _weapon_uid
_need = brain.get_flag(life, _flag_name)
if _need:
delete_needed_item(life, _need)
brain.unflag(life, _flag_name)
if not combat.has_potentially_usable_weapon(life) and not combat.has_ready_weapon(life):
# _weapon_with_feed = None
# for weapon in combat.get_weapons(life):
# if weapons.get_feed(weapon):
# _weapon_with_feed = weapon['uid']
# break
# if _weapon_with_feed:
# _weapon_uid = weapon['uid']
# _flag_name = '%s_needs_ammo' % _weapon_uid
# _n = add_needed_item(life,
# {'type': 'bullet', 'owner': None, 'ammotype': weapon['ammotype']},
# satisfy_if=action.make_small_script(function='get_flag',
# args={'flag': _flag_name}),
# satisfy_callback=action.make_small_script(return_function='pick_up_and_hold_item'))
#
# brain.flag(life, _flag_name, value=_n)
for weapon in combat.get_weapons(life):
_weapon_uid = weapon["uid"]
_flag_name = "%s_needs_feed" % _weapon_uid
if combat.have_feed_and_ammo_for_weapon(life, _weapon_uid):
continue
# print 'feeds?', combat.get_feeds_for_weapon(life, _weapon_uid), [ITEMS[i]['name'] for i in lfe.get_held_items(life)]
if not combat.get_feeds_for_weapon(life, _weapon_uid) and not brain.get_flag(life, _flag_name):
_n = add_needed_item(
life,
{"type": weapon["feed"], "owner": None, "ammotype": weapon["ammotype"]},
satisfy_if=action.make_small_script(function="get_flag", args={"flag": _flag_name}),
satisfy_callback=action.make_small_script(return_function="pick_up_and_hold_item"),
)
brain.flag(life, _flag_name, value=_n)
_flag_name = "%s_needs_ammo" % _weapon_uid
if len(combat.get_all_ammo_for_weapon(life, _weapon_uid)) < 5 and not brain.get_flag(life, _flag_name):
_n = add_needed_item(
life,
{"type": "bullet", "owner": None, "ammotype": weapon["ammotype"]},
satisfy_if=action.make_small_script(function="get_flag", args={"flag": _flag_name}),
satisfy_callback=action.make_small_script(return_function="pick_up_and_hold_item"),
)
brain.flag(life, _flag_name, value=_n)
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 order_to_loot(life, group_id, add_leader=False):
#TODO: We should really consider moving the needs portion of this code outside of this function
#Because this function really only does something on the first run, rendering it into just another
#announce loop...
_group = get_group(life, group_id)
_requirements = [
action.make_small_script(function='has_number_of_items_matching',
args={
'matching': [{
'type': 'drink'
}],
'amount': 1
})
]
_j = jobs.create_job(life,
'Loot for group %s.' % life['group'],
gist='loot_for_group',
description='Collect loot for group.',
group=life['group'],
requirements=_requirements)
if _j:
for member in _group['members']:
if member == _group['leader'] and not add_leader:
continue
survival.add_needed_item(LIFE[member], {'type': 'drink'},
amount=1,
pass_if=_requirements,
satisfy_if=action.make_small_script(
function='group_needs_resources',
args={'group_id': group_id}),
satisfy_callback=action.make_small_script(
return_function='pass'))
jobs.add_task(_j,
'0',
'bring_back_loot',
action.make_small_script(function='find_target',
kwargs={
'target': _group['leader'],
'distance': 5,
'follow': False
}),
player_action=action.make_small_script(
function='can_see_target',
kwargs={'target_id': _group['leader']}),
description='Drop the item off at the camp',
delete_on_finish=False)
jobs.add_task(
_j,
'1',
'flag_item',
action.make_small_script(function='flag_item_matching',
kwargs={
'matching': {
'type': 'drink'
},
'flag': 'ignore'
}),
player_action=action.make_small_script(function='always'),
description='Ignore this',
delete_on_finish=False)
jobs.add_task(_j,
'2',
'drop_item',
action.make_small_script(
function='drop_item_matching',
kwargs={'matching': {
'type': 'drink'
}}),
player_action=action.make_small_script(function='never'),
description='Drop the item off at the camp',
delete_on_finish=False)
flag(group_id, 'loot', _j)
if lfe.ticker(life, 'resource_announce', 10):
_job_id = get_flag(group_id, 'loot')
announce(
life,
life['group'],
'job',
'We need more resources.',
job_id=_job_id,
order=True,
filter_if=[action.make_small_script(function='has_needs_to_meet')])
def manage_combat(life, group_id):
if has_flag(life, group_id, 'confident'):
_was_confident = get_flag(life, group_id, 'confident')
if _was_confident == stats.is_confident(life) and not lfe.ticker(life, 'decision_wait', 16):
return False
flag(life, group_id, 'confident', stats.is_confident(life))
_existing_friendlies = get_flag(life, group_id, 'friendlies')
_existing_targets = get_flag(life, group_id, 'targets')
_last_focal_point = get_flag(life, group_id, 'last_focal_point')
if not _existing_friendlies:
_existing_friendlies = {}
if not _existing_targets:
_existing_targets = {}
for life_id in get_group(life, group_id)['members']:
if not life_id in _existing_friendlies:
_existing_friendlies[life_id] = {'updated': -900}
flag(life, group_id, 'friendlies', _existing_friendlies)
_checked_targets = []
for target_id in judgement.get_threats(life):
if target_id in _existing_targets:
_existing_targets[target_id]['time'] = 0
else:
_existing_targets[target_id] = {'time': 0, 'pos': brain.knows_alife_by_id(life, target_id)['last_seen_at'][:]}
_checked_targets.append(target_id)
_enemy_focal_pos = None
for target_id in _existing_targets:
if not _enemy_focal_pos:
_enemy_focal_pos = _existing_targets[target_id]['pos'][:]
else:
_enemy_focal_pos = bad_numbers.lerp_velocity(_enemy_focal_pos, _existing_targets[target_id]['pos'], 0.5)
if target_id in _checked_targets:
continue
_existing_targets[target_id]['time'] += 1
if _existing_targets[target_id]['time']>100:
del _existing_targets[target_id]
continue
_hostile_chunks = get_flag(life, group_id, 'hostile_chunks')
_previous_visible_chunks = brain.get_flag(life, 'group_combat_vis_chunks')
if _previous_visible_chunks and _previous_visible_chunks['from_pos'] == life['pos']:
_visible_chunks = _previous_visible_chunks['visible_chunks']
else:
_visible_chunks = chunks.get_visible_chunks_from(life['pos'], life['vision_max']*.75)
brain.flag(life, 'group_combat_vis_chunks', value={'from_pos': life['pos'][:],
'visible_chunks': _visible_chunks})
if _enemy_focal_pos:
lfe.clear_ticker(life, 'group_command_reset')
if not _last_focal_point or bad_numbers.distance(_enemy_focal_pos, _last_focal_point)>30:
_hostile_chunks = chunks.get_visible_chunks_from((int(round(_enemy_focal_pos[0])), int(round(_enemy_focal_pos[1])), 2), life['vision_max']*1.5)
flag(life, group_id, 'hostile_chunks', _hostile_chunks)
flag(life, group_id, 'visible_chunks', _visible_chunks)
flag(life, group_id, 'last_focal_point', _enemy_focal_pos)
else:
_ticker = lfe.ticker(life, 'group_command_reset', 48)
if get_stage(life, group_id) == STAGE_ATTACKING:
if _ticker:
set_stage(life, group_id, STAGE_FORMING)
flag(life, group_id, 'friendlies', None)
flag(life, group_id, 'strategy', None)
else:
manage_strategy(life, group_id)
return False
if not get_stage(life, group_id) == STAGE_ATTACKING:
speech.announce_combat_to_group(life, group_id)
set_stage(life, group_id, STAGE_ATTACKING)
if not lfe.ticker(life, 'group_command_rate', 3):
return False
_orig_visible_chunks = _visible_chunks[:]
#TODO: Check distance to threat
for hostile_chunk_key in _hostile_chunks:
if hostile_chunk_key in _visible_chunks:
_visible_chunks.remove(hostile_chunk_key)
#TODO: Additional stages: PLANNING, EXECUTING
if _visible_chunks and stats.is_confident(life):
for target_id in order_spread_out(life, group_id, _visible_chunks, filter_by=lambda life_id: WORLD_INFO['ticks']-_existing_friendlies[life_id]['updated']>100):
_existing_friendlies[target_id]['updated'] = WORLD_INFO['ticks']
else:
_distant_chunk = {'distance': -1, 'chunk_key': None}
_unchecked_members = get_group(life, group_id)['members'][:]
for chunk_key in _orig_visible_chunks:
_distance = bad_numbers.distance((int(round(_enemy_focal_pos[0])), int(round(_enemy_focal_pos[1]))), chunks.get_chunk(chunk_key)['pos'])
_distance *= bad_numbers.clip(bad_numbers.distance(life['pos'], _enemy_focal_pos), 1, 35)/35.0
if chunk_key in _visible_chunks:
_distance *= 2
for member_id in _unchecked_members:
if life['id'] == member_id:
continue
_target = brain.knows_alife_by_id(life, member_id)
if _target['last_seen_time'] <= 25 and chunks.get_chunk_key_at(_target['last_seen_at']) == chunk_key:
_distance *= (2.5*(1-(bad_numbers.clip(_target['last_seen_time'], 0, 25)/25.0)))
if _distance>_distant_chunk['distance']:
_distant_chunk['distance'] = _distance
_distant_chunk['chunk_key'] = chunk_key
if _distant_chunk['chunk_key']:
for target_id in order_move_to(life, group_id, _distant_chunk['chunk_key'], filter_by=lambda life_id: WORLD_INFO['ticks']-_existing_friendlies[life_id]['updated']>100):
_existing_friendlies[target_id]['updated'] = WORLD_INFO['ticks']
return False
def manage_combat(life, group_id):
if has_flag(life, group_id, 'confident'):
_was_confident = get_flag(life, group_id, 'confident')
if _was_confident == stats.is_confident(life) and not lfe.ticker(
life, 'decision_wait', 16):
return False
flag(life, group_id, 'confident', stats.is_confident(life))
_existing_friendlies = get_flag(life, group_id, 'friendlies')
_existing_targets = get_flag(life, group_id, 'targets')
_last_focal_point = get_flag(life, group_id, 'last_focal_point')
if not _existing_friendlies:
_existing_friendlies = {}
if not _existing_targets:
_existing_targets = {}
for life_id in get_group(life, group_id)['members']:
if not life_id in _existing_friendlies:
_existing_friendlies[life_id] = {'updated': -900}
flag(life, group_id, 'friendlies', _existing_friendlies)
_checked_targets = []
for target_id in judgement.get_threats(life):
if target_id in _existing_targets:
_existing_targets[target_id]['time'] = 0
else:
_existing_targets[target_id] = {
'time': 0,
'pos': brain.knows_alife_by_id(life,
target_id)['last_seen_at'][:]
}
_checked_targets.append(target_id)
_enemy_focal_pos = None
for target_id in _existing_targets:
if not _enemy_focal_pos:
_enemy_focal_pos = _existing_targets[target_id]['pos'][:]
else:
_enemy_focal_pos = bad_numbers.lerp_velocity(
_enemy_focal_pos, _existing_targets[target_id]['pos'], 0.5)
if target_id in _checked_targets:
continue
_existing_targets[target_id]['time'] += 1
if _existing_targets[target_id]['time'] > 100:
del _existing_targets[target_id]
continue
_hostile_chunks = get_flag(life, group_id, 'hostile_chunks')
_previous_visible_chunks = brain.get_flag(life, 'group_combat_vis_chunks')
if _previous_visible_chunks and _previous_visible_chunks[
'from_pos'] == life['pos']:
_visible_chunks = _previous_visible_chunks['visible_chunks']
else:
_visible_chunks = chunks.get_visible_chunks_from(
life['pos'], life['vision_max'] * .75)
brain.flag(life,
'group_combat_vis_chunks',
value={
'from_pos': life['pos'][:],
'visible_chunks': _visible_chunks
})
if _enemy_focal_pos:
lfe.clear_ticker(life, 'group_command_reset')
if not _last_focal_point or bad_numbers.distance(
_enemy_focal_pos, _last_focal_point) > 30:
_hostile_chunks = chunks.get_visible_chunks_from(
(int(round(_enemy_focal_pos[0])),
int(round(_enemy_focal_pos[1])), 2), life['vision_max'] * 1.5)
flag(life, group_id, 'hostile_chunks', _hostile_chunks)
flag(life, group_id, 'visible_chunks', _visible_chunks)
flag(life, group_id, 'last_focal_point', _enemy_focal_pos)
else:
_ticker = lfe.ticker(life, 'group_command_reset', 48)
if get_stage(life, group_id) == STAGE_ATTACKING:
if _ticker:
set_stage(life, group_id, STAGE_FORMING)
flag(life, group_id, 'friendlies', None)
flag(life, group_id, 'strategy', None)
else:
manage_strategy(life, group_id)
return False
if not get_stage(life, group_id) == STAGE_ATTACKING:
speech.announce_combat_to_group(life, group_id)
set_stage(life, group_id, STAGE_ATTACKING)
if not lfe.ticker(life, 'group_command_rate', 3):
return False
_orig_visible_chunks = _visible_chunks[:]
#TODO: Check distance to threat
for hostile_chunk_key in _hostile_chunks:
if hostile_chunk_key in _visible_chunks:
_visible_chunks.remove(hostile_chunk_key)
#TODO: Additional stages: PLANNING, EXECUTING
if _visible_chunks and stats.is_confident(life):
for target_id in order_spread_out(
life,
group_id,
_visible_chunks,
filter_by=lambda life_id: WORLD_INFO[
'ticks'] - _existing_friendlies[life_id]['updated'] > 100):
_existing_friendlies[target_id]['updated'] = WORLD_INFO['ticks']
else:
_distant_chunk = {'distance': -1, 'chunk_key': None}
_unchecked_members = get_group(life, group_id)['members'][:]
for chunk_key in _orig_visible_chunks:
_distance = bad_numbers.distance(
(int(round(
_enemy_focal_pos[0])), int(round(_enemy_focal_pos[1]))),
chunks.get_chunk(chunk_key)['pos'])
_distance *= bad_numbers.clip(
bad_numbers.distance(life['pos'], _enemy_focal_pos), 1,
35) / 35.0
if chunk_key in _visible_chunks:
_distance *= 2
for member_id in _unchecked_members:
if life['id'] == member_id:
continue
_target = brain.knows_alife_by_id(life, member_id)
if _target['last_seen_time'] <= 25 and chunks.get_chunk_key_at(
_target['last_seen_at']) == chunk_key:
_distance *= (2.5 * (1 - (bad_numbers.clip(
_target['last_seen_time'], 0, 25) / 25.0)))
if _distance > _distant_chunk['distance']:
_distant_chunk['distance'] = _distance
_distant_chunk['chunk_key'] = chunk_key
if _distant_chunk['chunk_key']:
for target_id in order_move_to(
life,
group_id,
_distant_chunk['chunk_key'],
filter_by=lambda life_id: WORLD_INFO['ticks'] -
_existing_friendlies[life_id]['updated'] > 100):
_existing_friendlies[target_id]['updated'] = WORLD_INFO[
'ticks']
return False
def order_to_loot(life, group_id, add_leader=False):
#TODO: We should really consider moving the needs portion of this code outside of this function
#Because this function really only does something on the first run, rendering it into just another
#announce loop...
_group = get_group(life, group_id)
_requirements = [action.make_small_script(function='has_number_of_items_matching',
args={'matching': [{'type': 'drink'}], 'amount': 1})]
_j = jobs.create_job(life, 'Loot for group %s.' % life['group'],
gist='loot_for_group',
description='Collect loot for group.',
group=life['group'],
requirements=_requirements)
if _j:
for member in _group['members']:
if member == _group['leader'] and not add_leader:
continue
survival.add_needed_item(LIFE[member],
{'type': 'drink'},
amount=1,
pass_if=_requirements,
satisfy_if=action.make_small_script(function='group_needs_resources',
args={'group_id': group_id}),
satisfy_callback=action.make_small_script(return_function='pass'))
jobs.add_task(_j, '0', 'bring_back_loot',
action.make_small_script(function='find_target',
kwargs={'target': _group['leader'],
'distance': 5,
'follow': False}),
player_action=action.make_small_script(function='can_see_target',
kwargs={'target_id': _group['leader']}),
description='Drop the item off at the camp',
delete_on_finish=False)
jobs.add_task(_j, '1', 'flag_item',
action.make_small_script(function='flag_item_matching',
kwargs={'matching': {'type': 'drink'},
'flag': 'ignore'}),
player_action=action.make_small_script(function='always'),
description='Ignore this',
delete_on_finish=False)
jobs.add_task(_j, '2', 'drop_item',
action.make_small_script(function='drop_item_matching',
kwargs={'matching': {'type': 'drink'}}),
player_action=action.make_small_script(function='never'),
description='Drop the item off at the camp',
delete_on_finish=False)
flag(group_id, 'loot', _j)
if lfe.ticker(life, 'resource_announce', 10):
_job_id = get_flag(group_id, 'loot')
announce(life, life['group'],
'job',
'We need more resources.',
job_id=_job_id,
order=True,
filter_if=[action.make_small_script(function='has_needs_to_meet')])
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)
