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
37 def zero_score_map_where_char_on_memdepthmap(c):
38 # OUTSOURCED FOR PERFORMANCE REASONS TO libplomrogue.so:
39 # for i in [i for i in range(world_db["MAP_LENGTH"] ** 2)
40 # if t["T_MEMDEPTHMAP"][i] == mem_depth_c[0]]:
42 map = c_pointer_to_bytearray(t["T_MEMDEPTHMAP"])
43 if libpr.zero_score_map_where_char_on_memdepthmap(c, map):
44 raise RuntimeError("No score map allocated for "
45 "zero_score_map_where_char_on_memdepthmap().")
47 def set_map_score_at_thingpos(id, score):
48 pos = world_db["Things"][id]["T_POSY"] * world_db["MAP_LENGTH"] \
49 + world_db["Things"][id]["T_POSX"]
50 set_map_score(pos, score)
52 def set_map_score(pos, score):
53 test = libpr.set_map_score(pos, score)
55 raise RuntimeError("No score map allocated for set_map_score().")
57 def get_map_score(pos):
58 result = libpr.get_map_score(pos)
60 raise RuntimeError("No score map allocated for get_map_score().")
63 def animate_in_fov(Thing):
64 if Thing["carried"] or Thing == t or not Thing["T_LIFEPOINTS"]:
66 pos = Thing["T_POSY"] * world_db["MAP_LENGTH"] + Thing["T_POSX"]
67 if ord("v") == t["fovmap"][pos]:
70 def good_attack_target(v):
71 eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
72 type = world_db["ThingTypes"][v["T_TYPE"]]
73 type_corpse = world_db["ThingTypes"][type["TT_CORPSE_ID"]]
74 if t["T_LIFEPOINTS"] > type["TT_LIFEPOINTS"] \
75 and type_corpse["TT_TOOL"] == "food" \
76 and type_corpse["TT_TOOLPOWER"] > eat_cost:
80 def good_flee_target(m):
81 own_corpse_id = world_db["ThingTypes"][t["T_TYPE"]]["TT_CORPSE_ID"]
82 corpse_type = world_db["ThingTypes"][own_corpse_id]
83 targetness = 0 if corpse_type["TT_TOOL"] != "food" \
84 else corpse_type["TT_TOOLPOWER"]
85 type = world_db["ThingTypes"][m["T_TYPE"]]
86 if t["T_LIFEPOINTS"] < type["TT_LIFEPOINTS"] \
87 and targetness > eat_vs_hunger_threshold(m["T_TYPE"]):
92 if t["fovmap"] and "a" == filter:
93 for id in world_db["Things"]:
94 if animate_in_fov(world_db["Things"][id]):
95 if good_attack_target(world_db["Things"][id]):
97 elif t["fovmap"] and "f" == filter:
98 for id in world_db["Things"]:
99 if animate_in_fov(world_db["Things"][id]):
100 if good_flee_target(world_db["Things"][id]):
102 elif t["T_MEMMAP"] and "c" == filter:
103 eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
104 for mt in t["T_MEMTHING"]:
105 if ' ' != chr(t["T_MEMMAP"][(mt[1] * world_db["MAP_LENGTH"])
107 and world_db["ThingTypes"][mt[0]]["TT_TOOL"] == "food" \
108 and world_db["ThingTypes"][mt[0]]["TT_TOOLPOWER"] \
113 def set_cells_passable_on_memmap_to_65534_on_scoremap():
114 # OUTSOURCED FOR PERFORMANCE REASONS TO libplomrogue.so:
116 # memmap = t["T_MEMMAP"]
117 # for i in [i for i in range(world_db["MAP_LENGTH"] ** 2)
118 # if ord_dot == memmap[i]]:
119 # set_map_score(i, 65534) # i.e. 65535-1
120 map = c_pointer_to_bytearray(t["T_MEMMAP"])
121 if libpr.set_cells_passable_on_memmap_to_65534_on_scoremap(map):
122 raise RuntimeError("No score map allocated for set_cells_passable"
123 "_on_memmap_to_65534_on_scoremap().")
125 def init_score_map():
126 test = libpr.init_score_map()
128 raise RuntimeError("Malloc error in init_score_map().")
131 set_cells_passable_on_memmap_to_65534_on_scoremap()
133 for id in world_db["Things"]:
134 if animate_in_fov(world_db["Things"][id]) \
135 and good_attack_target(world_db["Things"][id]):
136 set_map_score_at_thingpos(id, 0)
138 for id in world_db["Things"]:
139 if animate_in_fov(world_db["Things"][id]) \
140 and good_flee_target(world_db["Things"][id]):
141 set_map_score_at_thingpos(id, 0)
143 eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
144 for mt in [mt for mt in t["T_MEMTHING"]
145 if ord_blank != t["T_MEMMAP"][mt[1]
146 * world_db["MAP_LENGTH"]
148 if world_db["ThingTypes"][mt[0]]["TT_TOOL"] == "food"
149 if world_db["ThingTypes"][mt[0]]["TT_TOOLPOWER"]
151 set_map_score(mt[1] * world_db["MAP_LENGTH"] + mt[2], 0)
153 zero_score_map_where_char_on_memdepthmap(mem_depth_c[0])
155 for id in world_db["Things"]:
156 if animate_in_fov(world_db["Things"][id]):
158 pos = world_db["Things"][id]["T_POSY"] \
159 * world_db["MAP_LENGTH"] \
160 + world_db["Things"][id]["T_POSX"]
161 if 0 == get_map_score(pos):
163 set_map_score_at_thingpos(id, 65535)
165 def rand_target_dir(neighbors, cmp, dirs):
168 for i in range(len(dirs)):
169 if cmp == neighbors[i]:
170 candidates.append(dirs[i])
172 return candidates[rand.next() % n_candidates] if n_candidates else 0
174 def get_neighbor_scores(dirs, eye_pos):
176 if libpr.ready_neighbor_scores(eye_pos):
177 raise RuntimeError("No score map allocated for " +
178 "ready_neighbor_scores.()")
179 for i in range(len(dirs)):
180 scores.append(libpr.get_neighbor_score(i))
183 def get_dir_from_neighbors():
185 dir_to_target = False
187 eye_pos = t["T_POSY"] * world_db["MAP_LENGTH"] + t["T_POSX"]
188 neighbors = get_neighbor_scores(dirs, eye_pos)
189 minmax_start = 0 if "f" == filter else 65535 - 1
190 minmax_neighbor = minmax_start
191 for i in range(len(dirs)):
192 if ("f" == filter and get_map_score(eye_pos) < neighbors[i] and
193 minmax_neighbor < neighbors[i] and 65535 != neighbors[i]) \
194 or ("f" != filter and minmax_neighbor > neighbors[i]):
195 minmax_neighbor = neighbors[i]
196 if minmax_neighbor != minmax_start:
197 dir_to_target = rand_target_dir(neighbors, minmax_neighbor, dirs)
199 distance = get_map_score(eye_pos)
200 fear_distance = world_db["MAP_LENGTH"]
201 if t["T_SATIATION"] < 0 and math.sqrt(-t["T_SATIATION"]) > 0:
202 fear_distance = fear_distance / math.sqrt(-t["T_SATIATION"])
204 if not dir_to_target:
205 if attack_distance >= distance:
206 dir_to_target = rand_target_dir(neighbors,
208 elif fear_distance >= distance:
209 t["T_COMMAND"] = [id for id in world_db["ThingActions"]
211 world_db["ThingActions"][id]["TA_NAME"]
214 elif dir_to_target and fear_distance < distance:
218 dir_to_target = False
220 run_i = 9 + 1 if "s" == filter else 1
221 while run_i and not dir_to_target and ("s" == filter or seeing_thing()):
224 mem_depth_c = b'9' if b' ' == mem_depth_c \
225 else bytes([mem_depth_c[0] - 1])
226 if libpr.dijkstra_map():
227 raise RuntimeError("No score map allocated for dijkstra_map().")
228 dir_to_target = get_dir_from_neighbors()
229 libpr.free_score_map()
230 if dir_to_target and str == type(dir_to_target):
231 t["T_COMMAND"] = [id for id in world_db["ThingActions"]
232 if world_db["ThingActions"][id]["TA_NAME"]
234 t["T_ARGUMENT"] = ord(dir_to_target)
238 def standing_on_food(t):
239 """Return True/False whether t is standing on healthy consumable."""
240 eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
241 for id in [id for id in world_db["Things"] if world_db["Things"][id] != t
242 if not world_db["Things"][id]["carried"]
243 if world_db["Things"][id]["T_POSY"] == t["T_POSY"]
244 if world_db["Things"][id]["T_POSX"] == t["T_POSX"]
245 if world_db["ThingTypes"][world_db["Things"][id]["T_TYPE"]]
246 ["TT_TOOL"] == "food"
247 if world_db["ThingTypes"][world_db["Things"][id]["T_TYPE"]]
248 ["TT_TOOLPOWER"] > eat_cost]:
253 def get_inventory_slot_to_consume(t):
254 """Return invent. slot of healthiest consumable(if any healthy),else -1."""
258 eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
259 for id in t["T_CARRIES"]:
260 type = world_db["Things"][id]["T_TYPE"]
261 if world_db["ThingTypes"][type]["TT_TOOL"] == "food" \
262 and world_db["ThingTypes"][type]["TT_TOOLPOWER"]:
263 nutvalue = world_db["ThingTypes"][type]["TT_TOOLPOWER"]
264 tmp_cmp = abs(t["T_SATIATION"] + nutvalue - eat_cost)
265 if (cmp_food < 0 and tmp_cmp < abs(t["T_SATIATION"])) \
266 or tmp_cmp < cmp_food:
274 """Determine next command/argment for actor t via AI algorithms."""
275 t["T_COMMAND"] = [id for id in world_db["ThingActions"]
276 if world_db["ThingActions"][id]["TA_NAME"] == "wait"][0]
277 if get_dir_to_target(t, "f"):
279 sel = get_inventory_slot_to_consume(t)
281 t["T_COMMAND"] = [id for id in world_db["ThingActions"]
282 if world_db["ThingActions"][id]["TA_NAME"]
284 t["T_ARGUMENT"] = sel
285 elif standing_on_food(t):
286 t["T_COMMAND"] = [id for id in world_db["ThingActions"]
287 if world_db["ThingActions"][id]["TA_NAME"]
290 going_to_known_food_spot = get_dir_to_target(t, "c")
291 if not going_to_known_food_spot:
292 aiming_for_walking_food = get_dir_to_target(t, "a")
293 if not aiming_for_walking_food:
294 get_dir_to_target(t, "s")