1 # This file is part of PlomRogue. PlomRogue is licensed under the GPL version 3
2 # or any later version. For details on its copyright, license, and warranties,
3 # see the file NOTICE in the root directory of the PlomRogue source package.
6 from server.config.world_data import world_db
9 def eat_vs_hunger_threshold(thingtype):
10 """Return satiation cost of eating for type. Good food for it must be >."""
11 from server.world import hunger_per_turn
12 hunger_unit = hunger_per_turn(thingtype)
13 actiontype = [id for id in world_db["ThingActions"]
14 if world_db["ThingActions"][id]["TA_NAME"] == "use"][0]
15 return world_db["ThingActions"][actiontype]["TA_EFFORT"] * hunger_unit
18 def get_dir_to_target(t, filter):
19 """Try to set T_COMMAND/T_ARGUMENT for move to "filter"-determined target.
21 The path-wise nearest target is chosen, via the shortest available path.
22 Target must not be t. On succcess, return positive value, else False.
24 "a": Thing in FOV is animate, but of ThingType, starts out weaker than t
25 is, and its corpse would be healthy food for t
26 "f": move away from an enemy – any visible actor whose thing type has more
27 TT_LIFEPOINTS than t LIFEPOINTS, and might find t's corpse healthy
28 food – if it is closer than n steps, where n will shrink as t's hunger
29 grows; if enemy is too close, move towards (attack) the enemy instead;
30 if no fleeing is possible, nor attacking useful, wait; don't tread on
31 non-enemies for fleeing
32 "c": Thing in memorized map is consumable of sufficient nutrition for t
33 "s": memory map cell with greatest-reachable degree of unexploredness
35 from server.utils import rand, libpr, c_pointer_to_bytearray
36 from server.config.world_data import symbols_passable
38 def zero_score_map_where_char_on_memdepthmap(c):
39 # OUTSOURCED FOR PERFORMANCE REASONS TO libplomrogue.so:
40 # for i in [i for i in range(world_db["MAP_LENGTH"] ** 2)
41 # if t["T_MEMDEPTHMAP"][i] == mem_depth_c[0]]:
43 map = c_pointer_to_bytearray(t["T_MEMDEPTHMAP"])
44 if libpr.zero_score_map_where_char_on_memdepthmap(c, map):
45 raise RuntimeError("No score map allocated for "
46 "zero_score_map_where_char_on_memdepthmap().")
48 def set_map_score(pos, score):
49 test = libpr.set_map_score(pos, score)
51 raise RuntimeError("No score map allocated for set_map_score().")
53 def get_map_score(pos):
54 result = libpr.get_map_score(pos)
56 raise RuntimeError("No score map allocated for get_map_score().")
59 def animates_in_fov(maplength):
60 return [Thing for Thing in world_db["Things"].values()
61 if Thing["T_LIFEPOINTS"] and not Thing["carried"]
62 and not Thing == t and 118 == t["fovmap"][Thing["T_POSY"] *
63 maplength + Thing["T_POSX"]]]
65 def good_attack_target(v):
66 eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
67 type = world_db["ThingTypes"][v["T_TYPE"]]
68 type_corpse = world_db["ThingTypes"][type["TT_CORPSE_ID"]]
69 if t["T_LIFEPOINTS"] > type["TT_LIFEPOINTS"] \
70 and type_corpse["TT_TOOL"] == "food" \
71 and type_corpse["TT_TOOLPOWER"] > eat_cost:
75 def good_flee_target(m):
76 own_corpse_id = world_db["ThingTypes"][t["T_TYPE"]]["TT_CORPSE_ID"]
77 corpse_type = world_db["ThingTypes"][own_corpse_id]
78 targetness = 0 if corpse_type["TT_TOOL"] != "food" \
79 else corpse_type["TT_TOOLPOWER"]
80 type = world_db["ThingTypes"][m["T_TYPE"]]
81 if t["T_LIFEPOINTS"] < type["TT_LIFEPOINTS"] \
82 and targetness > eat_vs_hunger_threshold(m["T_TYPE"]):
93 maplength = world_db["MAP_LENGTH"]
94 if t["fovmap"] and "a" == filter:
95 return exists(Thing for Thing in animates_in_fov(maplength)
96 if good_attack_target(Thing))
97 elif t["fovmap"] and "f" == filter:
98 return exists(Thing for Thing in animates_in_fov(maplength)
99 if good_flee_target(Thing))
100 elif t["T_MEMMAP"] and "c" == filter:
101 eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
103 map_len = world_db["MAP_LENGTH"]
104 return exists(mt for mt in t["T_MEMTHING"]
105 if ord_blank != t["T_MEMMAP"][mt[1] * map_len + mt[2]]
106 and world_db["ThingTypes"][mt[0]]["TT_TOOL"] == "food"
107 and world_db["ThingTypes"][mt[0]]["TT_TOOLPOWER"]
111 def set_cells_passable_on_memmap_to_65534_on_scoremap():
112 # OUTSOURCED FOR PERFORMANCE REASONS TO libplomrogue.so:
113 # memmap = t["T_MEMMAP"]
114 # for i in [i for i in range(world_db["MAP_LENGTH"] ** 2)
115 # if memmap[i] in symbols_passable]:
116 # set_map_score(i, 65534) # i.e. 65535-1
117 map = c_pointer_to_bytearray(t["T_MEMMAP"])
118 if libpr.set_cells_passable_on_memmap_to_65534_on_scoremap(map,
120 raise RuntimeError("No score map allocated for set_cells_passable"
121 "_on_memmap_to_65534_on_scoremap().")
123 def init_score_map():
124 test = libpr.init_score_map()
126 raise RuntimeError("Malloc error in init_score_map().")
129 set_cells_passable_on_memmap_to_65534_on_scoremap()
130 maplen = world_db["MAP_LENGTH"]
132 [set_map_score(Thing["T_POSY"] * maplen + Thing["T_POSX"], 0) for
133 Thing in animates_in_fov(maplen) if good_attack_target(Thing)]
135 [set_map_score(Thing["T_POSY"] * maplen + Thing["T_POSX"], 0) for
136 Thing in animates_in_fov(maplen) if good_flee_target(Thing)]
138 eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
140 [set_map_score(mt[1] * maplen + mt[2], 0)
141 for mt in t["T_MEMTHING"]
142 if ord_blank != t["T_MEMMAP"][mt[1] * maplen + mt[2]]
143 if t != world_db["Things"][0] or
144 (world_db["ThingTypes"][mt[0]]["TT_TOOL"] == "food" and
145 world_db["ThingTypes"][mt[0]]["TT_TOOLPOWER"] > eat_cost)]
147 zero_score_map_where_char_on_memdepthmap(mem_depth_c[0])
149 [set_map_score(Thing["T_POSY"] * maplen + Thing["T_POSX"], 65535)
150 for Thing in animates_in_fov(maplen) if get_map_score(
151 Thing["T_POSY"] * maplen + Thing["T_POSX"])]
153 [set_map_score(Thing["T_POSY"] * maplen + Thing["T_POSX"],
154 65535) for Thing in animates_in_fov(maplen)]
156 def rand_target_dir(neighbors, cmp, dirs):
159 for i in range(len(dirs)):
160 if cmp == neighbors[i]:
161 candidates.append(dirs[i])
163 return candidates[rand.next() % n_candidates] if n_candidates else 0
165 def get_neighbor_scores(dirs, eye_pos):
167 if libpr.ready_neighbor_scores(eye_pos):
168 raise RuntimeError("No score map allocated for " +
169 "ready_neighbor_scores.()")
170 for i in range(len(dirs)):
171 scores.append(libpr.get_neighbor_score(i))
174 def get_dir_from_neighbors():
176 dir_to_target = False
178 eye_pos = t["T_POSY"] * world_db["MAP_LENGTH"] + t["T_POSX"]
179 neighbors = get_neighbor_scores(dirs, eye_pos)
180 minmax_start = 0 if "f" == filter else 65535 - 1
181 minmax_neighbor = minmax_start
182 for i in range(len(dirs)):
183 if ("f" == filter and get_map_score(eye_pos) < neighbors[i] and
184 minmax_neighbor < neighbors[i] and 65535 != neighbors[i]) \
185 or ("f" != filter and minmax_neighbor > neighbors[i]):
186 minmax_neighbor = neighbors[i]
187 if minmax_neighbor != minmax_start:
188 dir_to_target = rand_target_dir(neighbors, minmax_neighbor, dirs)
190 distance = get_map_score(eye_pos)
191 fear_distance = world_db["MAP_LENGTH"]
192 if t["T_SATIATION"] < 0 and math.sqrt(-t["T_SATIATION"]) > 0:
193 fear_distance = fear_distance / math.sqrt(-t["T_SATIATION"])
195 if not dir_to_target:
196 if attack_distance >= distance:
197 dir_to_target = rand_target_dir(neighbors,
199 elif fear_distance >= distance:
200 t["T_COMMAND"] = [id for id in world_db["ThingActions"]
202 world_db["ThingActions"][id]["TA_NAME"]
205 elif dir_to_target and fear_distance < distance:
209 dir_to_target = False
211 run_i = 9 + 1 if "s" == filter else 1
212 while run_i and not dir_to_target and ("s" == filter or seeing_thing()):
215 mem_depth_c = b'9' if b' ' == mem_depth_c \
216 else bytes([mem_depth_c[0] - 1])
217 if libpr.dijkstra_map():
218 raise RuntimeError("No score map allocated for dijkstra_map().")
219 dir_to_target = get_dir_from_neighbors()
220 libpr.free_score_map()
221 if dir_to_target and str == type(dir_to_target):
222 t["T_COMMAND"] = [id for id in world_db["ThingActions"]
223 if world_db["ThingActions"][id]["TA_NAME"]
225 t["T_ARGUMENT"] = ord(dir_to_target)
229 def standing_on_food(t):
230 """Return True/False whether t is standing on healthy consumable."""
231 eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
232 for id in [id for id in world_db["Things"] if world_db["Things"][id] != t
233 if not world_db["Things"][id]["carried"]
234 if world_db["Things"][id]["T_POSY"] == t["T_POSY"]
235 if world_db["Things"][id]["T_POSX"] == t["T_POSX"]
236 if world_db["ThingTypes"][world_db["Things"][id]["T_TYPE"]]
237 ["TT_TOOL"] == "food"
238 if world_db["ThingTypes"][world_db["Things"][id]["T_TYPE"]]
239 ["TT_TOOLPOWER"] > eat_cost]:
244 def get_inventory_slot_to_consume(t):
245 """Return invent. slot of healthiest consumable(if any healthy),else -1."""
249 eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
250 for id in t["T_CARRIES"]:
251 type = world_db["Things"][id]["T_TYPE"]
252 if world_db["ThingTypes"][type]["TT_TOOL"] == "food" \
253 and world_db["ThingTypes"][type]["TT_TOOLPOWER"]:
254 nutvalue = world_db["ThingTypes"][type]["TT_TOOLPOWER"]
255 tmp_cmp = abs(t["T_SATIATION"] + nutvalue - eat_cost)
256 if (cmp_food < 0 and tmp_cmp < abs(t["T_SATIATION"])) \
257 or tmp_cmp < cmp_food:
265 """Determine next command/argment for actor t via AI algorithms."""
266 t["T_COMMAND"] = [id for id in world_db["ThingActions"]
267 if world_db["ThingActions"][id]["TA_NAME"] == "wait"][0]
268 eating = len([id for id in world_db["ThingActions"]
269 if world_db["ThingActions"][id]["TA_NAME"] == "use"]) > 0
270 picking = len([id for id in world_db["ThingActions"]
271 if world_db["ThingActions"][id]["TA_NAME"] == "pickup"]) > 0
272 if eating and picking:
273 if get_dir_to_target(t, "f"):
275 sel = get_inventory_slot_to_consume(t)
276 from server.config.ai import ai_hook_pickup_test
278 t["T_COMMAND"] = [id for id in world_db["ThingActions"]
279 if world_db["ThingActions"][id]["TA_NAME"]
281 t["T_ARGUMENT"] = sel
282 elif standing_on_food(t) and ai_hook_pickup_test(t):
283 t["T_COMMAND"] = [id for id in world_db["ThingActions"]
284 if world_db["ThingActions"][id]["TA_NAME"]
287 going_to_known_food_spot = get_dir_to_target(t, "c")
288 if not going_to_known_food_spot:
289 aiming_for_walking_food = get_dir_to_target(t, "a")
290 if not aiming_for_walking_food:
291 get_dir_to_target(t, "s")