From: Christian Heller Date: Sun, 13 Mar 2016 00:16:40 +0000 (+0100) Subject: TCE: Add fleeing AI. X-Git-Tag: tce~31 X-Git-Url: https://plomlompom.com/repos/%7B%7Bdb.prefix%7D%7D/task?a=commitdiff_plain;h=246673e37355603c042088d55879a7160ea63c0e;p=plomrogue TCE: Add fleeing AI. --- diff --git a/plugins/server/TheCrawlingEater.py b/plugins/server/TheCrawlingEater.py index fced6c8..5558e0b 100644 --- a/plugins/server/TheCrawlingEater.py +++ b/plugins/server/TheCrawlingEater.py @@ -435,6 +435,12 @@ def get_dir_to_target(t, target): from server.utils import rand, libpr, c_pointer_to_bytearray from server.config.world_data import symbols_passable + def get_map_score(pos): + result = libpr.get_map_score(pos) + if result < 0: + raise RuntimeError("No score map allocated for get_map_score().") + return result + def zero_score_map_where_char_on_memdepthmap(c): map = c_pointer_to_bytearray(t["T_MEMDEPTHMAP"]) if libpr.zero_score_map_where_char_on_memdepthmap(c, map): @@ -452,6 +458,11 @@ def get_dir_to_target(t, target): raise RuntimeError("No movement cost map allocated for " "set_movement_cost_map().") + def animates_in_fov(maplength): + return [Thing for Thing in world_db["Things"].values() + if Thing["T_LIFEPOINTS"] if 118 == t["fovmap"][Thing["pos"]] + if not Thing == t] + def seeing_thing(): def exists(gen): try: @@ -477,6 +488,9 @@ def get_dir_to_target(t, target): if ord("0") <= t["T_MEMMAP"][pos] <= ord("2") if (t["fovmap"] != ord("v") or world_db["terrain_fullness"](pos) < 5)) + elif target == "flee" and t["fovmap"]: + return exists(Thing for + Thing in animates_in_fov(world_db["MAP_LENGTH"])) return False def init_score_map(): @@ -504,6 +518,9 @@ def get_dir_to_target(t, target): or world_db["terrain_fullness"](pos) < 5)] elif target == "search": zero_score_map_where_char_on_memdepthmap(mem_depth_c[0]) + elif target == "flee": + [set_map_score(Thing["pos"], 0) for + Thing in animates_in_fov(world_db["MAP_LENGTH"])] def rand_target_dir(neighbors, cmp, dirs): candidates = [] @@ -529,13 +546,32 @@ def get_dir_to_target(t, target): dirs = "edcxsw" eye_pos = t["pos"] neighbors = get_neighbor_scores(dirs, eye_pos) - minmax_start = 65535 - 1 + minmax_start = 0 if "flee" == target else 65535 - 1 minmax_neighbor = minmax_start for i in range(len(dirs)): - if minmax_neighbor > neighbors[i]: + if ("flee" == target and get_map_score(t["pos"]) < neighbors[i] and + minmax_neighbor < neighbors[i] and 65535 != neighbors[i]) \ + or ("flee" != target and minmax_neighbor > neighbors[i]): minmax_neighbor = neighbors[i] if minmax_neighbor != minmax_start: dir_to_target = rand_target_dir(neighbors, minmax_neighbor, dirs) + if "flee" == target: + distance = get_map_score(t["pos"]) + fear_distance = 5 + attack_distance = 1 + if not dir_to_target: + if attack_distance >= distance: + dir_to_target = rand_target_dir(neighbors, + distance - 1, dirs) + elif fear_distance >= distance: + t["T_COMMAND"] = [taid for + taid in world_db["ThingActions"] + if + world_db["ThingActions"][taid]["TA_NAME"] + == "wait"][0] + return 1, 0 + elif dir_to_target and fear_distance < distance: + dir_to_target = 0 return dir_to_target, minmax_neighbor dir_to_target = False @@ -560,7 +596,9 @@ def get_dir_to_target(t, target): if 1 != move_result[0]: return False, 0 pos = (move_result[1] * world_db["MAP_LENGTH"]) + move_result[2] - if world_db["MAP"][pos] > ord("2"): + hitted = [tid for tid in world_db["Things"] + if world_db["Things"][tid]["pos"] == pos] + if world_db["MAP"][pos] > ord("2") or len(hitted) > 0: action = "eat" t["T_COMMAND"] = [taid for taid in world_db["ThingActions"] if world_db["ThingActions"][taid]["TA_NAME"] @@ -595,6 +633,7 @@ def ai(t): t["T_COMMAND"] = thing_action_id("wait") needs = { + "flee": 24, "safe_pee": (world_db["terrain_fullness"](t["pos"]) * t["T_BLADDER"]) / 4, "safe_drop": (world_db["terrain_fullness"](t["pos"]) * t["T_BOWEL"]) / 4, "food": 33 - t["T_STOMACH"],