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_at_thingpos(id, score):
49 pos = world_db["Things"][id]["T_POSY"] * world_db["MAP_LENGTH"] \
50 + world_db["Things"][id]["T_POSX"]
51 set_map_score(pos, score)
53 def set_map_score(pos, score):
54 test = libpr.set_map_score(pos, score)
56 raise RuntimeError("No score map allocated for set_map_score().")
58 def get_map_score(pos):
59 result = libpr.get_map_score(pos)
61 raise RuntimeError("No score map allocated for get_map_score().")
64 def animate_in_fov(Thing, maplength):
65 if not Thing["T_LIFEPOINTS"] or Thing["carried"] or Thing == t:
67 pos = Thing["T_POSY"] * maplength + Thing["T_POSX"]
68 if 118 == t["fovmap"][pos]: # optimization: 118 = ord("v")
71 def good_attack_target(v):
72 eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
73 type = world_db["ThingTypes"][v["T_TYPE"]]
74 type_corpse = world_db["ThingTypes"][type["TT_CORPSE_ID"]]
75 if t["T_LIFEPOINTS"] > type["TT_LIFEPOINTS"] \
76 and type_corpse["TT_TOOL"] == "food" \
77 and type_corpse["TT_TOOLPOWER"] > eat_cost:
81 def good_flee_target(m):
82 own_corpse_id = world_db["ThingTypes"][t["T_TYPE"]]["TT_CORPSE_ID"]
83 corpse_type = world_db["ThingTypes"][own_corpse_id]
84 targetness = 0 if corpse_type["TT_TOOL"] != "food" \
85 else corpse_type["TT_TOOLPOWER"]
86 type = world_db["ThingTypes"][m["T_TYPE"]]
87 if t["T_LIFEPOINTS"] < type["TT_LIFEPOINTS"] \
88 and targetness > eat_vs_hunger_threshold(m["T_TYPE"]):
93 maplength = world_db["MAP_LENGTH"]
94 if t["fovmap"] and "a" == filter:
95 for id in world_db["Things"]:
96 if animate_in_fov(world_db["Things"][id], maplength):
97 if good_attack_target(world_db["Things"][id]):
99 elif t["fovmap"] and "f" == filter:
100 for id in world_db["Things"]:
101 if animate_in_fov(world_db["Things"][id], maplength):
102 if good_flee_target(world_db["Things"][id]):
104 elif t["T_MEMMAP"] and "c" == filter:
105 eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
107 for mt in t["T_MEMTHING"]:
108 if ord_blank != chr(t["T_MEMMAP"][(mt[1] * \
109 world_db["MAP_LENGTH"]) + mt[2]]) \
110 and world_db["ThingTypes"][mt[0]]["TT_TOOL"] == "food" \
111 and world_db["ThingTypes"][mt[0]]["TT_TOOLPOWER"] \
116 def set_cells_passable_on_memmap_to_65534_on_scoremap():
117 # OUTSOURCED FOR PERFORMANCE REASONS TO libplomrogue.so:
118 # memmap = t["T_MEMMAP"]
119 # for i in [i for i in range(world_db["MAP_LENGTH"] ** 2)
120 # if memmap[i] in symbols_passable]:
121 # set_map_score(i, 65534) # i.e. 65535-1
122 map = c_pointer_to_bytearray(t["T_MEMMAP"])
123 if libpr.set_cells_passable_on_memmap_to_65534_on_scoremap(map,
125 raise RuntimeError("No score map allocated for set_cells_passable"
126 "_on_memmap_to_65534_on_scoremap().")
128 def init_score_map():
129 test = libpr.init_score_map()
131 raise RuntimeError("Malloc error in init_score_map().")
134 set_cells_passable_on_memmap_to_65534_on_scoremap()
135 maplength = world_db["MAP_LENGTH"]
137 [set_map_score_at_thingpos(id, 0)
138 for id in world_db["Things"]
139 if animate_in_fov(world_db["Things"][id], maplength)
140 if good_attack_target(world_db["Things"][id])]
142 [set_map_score_at_thingpos(id, 0)
143 for id in world_db["Things"]
144 if animate_in_fov(world_db["Things"][id], maplength)
145 if good_flee_target(world_db["Things"][id])]
147 eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
149 [set_map_score(mt[1] * maplength + mt[2], 0)
150 for mt in t["T_MEMTHING"]
151 if ord_blank != t["T_MEMMAP"][mt[1] * maplength + mt[2]]
152 if t != world_db["Things"][0] or
153 (world_db["ThingTypes"][mt[0]]["TT_TOOL"] == "food" and
154 world_db["ThingTypes"][mt[0]]["TT_TOOLPOWER"] > eat_cost)]
156 zero_score_map_where_char_on_memdepthmap(mem_depth_c[0])
158 [set_map_score_at_thingpos(id, 65535)
159 for id in world_db["Things"]
160 if animate_in_fov(world_db["Things"][id], maplength)
161 if get_map_score(world_db["Things"][id]["T_POSY"] * maplength
162 + world_db["Things"][id]["T_POSX"])]
164 [set_map_score_at_thingpos(id, 65535)
165 for id in world_db["Things"]
166 if animate_in_fov(world_db["Things"][id], maplength)]
168 def rand_target_dir(neighbors, cmp, dirs):
171 for i in range(len(dirs)):
172 if cmp == neighbors[i]:
173 candidates.append(dirs[i])
175 return candidates[rand.next() % n_candidates] if n_candidates else 0
177 def get_neighbor_scores(dirs, eye_pos):
179 if libpr.ready_neighbor_scores(eye_pos):
180 raise RuntimeError("No score map allocated for " +
181 "ready_neighbor_scores.()")
182 for i in range(len(dirs)):
183 scores.append(libpr.get_neighbor_score(i))
186 def get_dir_from_neighbors():
188 dir_to_target = False
190 eye_pos = t["T_POSY"] * world_db["MAP_LENGTH"] + t["T_POSX"]
191 neighbors = get_neighbor_scores(dirs, eye_pos)
192 minmax_start = 0 if "f" == filter else 65535 - 1
193 minmax_neighbor = minmax_start
194 for i in range(len(dirs)):
195 if ("f" == filter and get_map_score(eye_pos) < neighbors[i] and
196 minmax_neighbor < neighbors[i] and 65535 != neighbors[i]) \
197 or ("f" != filter and minmax_neighbor > neighbors[i]):
198 minmax_neighbor = neighbors[i]
199 if minmax_neighbor != minmax_start:
200 dir_to_target = rand_target_dir(neighbors, minmax_neighbor, dirs)
202 distance = get_map_score(eye_pos)
203 fear_distance = world_db["MAP_LENGTH"]
204 if t["T_SATIATION"] < 0 and math.sqrt(-t["T_SATIATION"]) > 0:
205 fear_distance = fear_distance / math.sqrt(-t["T_SATIATION"])
207 if not dir_to_target:
208 if attack_distance >= distance:
209 dir_to_target = rand_target_dir(neighbors,
211 elif fear_distance >= distance:
212 t["T_COMMAND"] = [id for id in world_db["ThingActions"]
214 world_db["ThingActions"][id]["TA_NAME"]
217 elif dir_to_target and fear_distance < distance:
221 dir_to_target = False
223 run_i = 9 + 1 if "s" == filter else 1
224 while run_i and not dir_to_target and ("s" == filter or seeing_thing()):
227 mem_depth_c = b'9' if b' ' == mem_depth_c \
228 else bytes([mem_depth_c[0] - 1])
229 if libpr.dijkstra_map():
230 raise RuntimeError("No score map allocated for dijkstra_map().")
231 dir_to_target = get_dir_from_neighbors()
232 libpr.free_score_map()
233 if dir_to_target and str == type(dir_to_target):
234 t["T_COMMAND"] = [id for id in world_db["ThingActions"]
235 if world_db["ThingActions"][id]["TA_NAME"]
237 t["T_ARGUMENT"] = ord(dir_to_target)
241 def standing_on_food(t):
242 """Return True/False whether t is standing on healthy consumable."""
243 eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
244 for id in [id for id in world_db["Things"] if world_db["Things"][id] != t
245 if not world_db["Things"][id]["carried"]
246 if world_db["Things"][id]["T_POSY"] == t["T_POSY"]
247 if world_db["Things"][id]["T_POSX"] == t["T_POSX"]
248 if world_db["ThingTypes"][world_db["Things"][id]["T_TYPE"]]
249 ["TT_TOOL"] == "food"
250 if world_db["ThingTypes"][world_db["Things"][id]["T_TYPE"]]
251 ["TT_TOOLPOWER"] > eat_cost]:
256 def get_inventory_slot_to_consume(t):
257 """Return invent. slot of healthiest consumable(if any healthy),else -1."""
261 eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
262 for id in t["T_CARRIES"]:
263 type = world_db["Things"][id]["T_TYPE"]
264 if world_db["ThingTypes"][type]["TT_TOOL"] == "food" \
265 and world_db["ThingTypes"][type]["TT_TOOLPOWER"]:
266 nutvalue = world_db["ThingTypes"][type]["TT_TOOLPOWER"]
267 tmp_cmp = abs(t["T_SATIATION"] + nutvalue - eat_cost)
268 if (cmp_food < 0 and tmp_cmp < abs(t["T_SATIATION"])) \
269 or tmp_cmp < cmp_food:
277 """Determine next command/argment for actor t via AI algorithms."""
278 t["T_COMMAND"] = [id for id in world_db["ThingActions"]
279 if world_db["ThingActions"][id]["TA_NAME"] == "wait"][0]
280 eating = len([id for id in world_db["ThingActions"]
281 if world_db["ThingActions"][id]["TA_NAME"] == "use"]) > 0
282 picking = len([id for id in world_db["ThingActions"]
283 if world_db["ThingActions"][id]["TA_NAME"] == "pickup"]) > 0
284 if eating and picking:
285 if get_dir_to_target(t, "f"):
287 sel = get_inventory_slot_to_consume(t)
288 from server.config.ai import ai_hook_pickup_test
290 t["T_COMMAND"] = [id for id in world_db["ThingActions"]
291 if world_db["ThingActions"][id]["TA_NAME"]
293 t["T_ARGUMENT"] = sel
294 elif standing_on_food(t) and ai_hook_pickup_test(t):
295 t["T_COMMAND"] = [id for id in world_db["ThingActions"]
296 if world_db["ThingActions"][id]["TA_NAME"]
299 going_to_known_food_spot = get_dir_to_target(t, "c")
300 if not going_to_known_food_spot:
301 aiming_for_walking_food = get_dir_to_target(t, "a")
302 if not aiming_for_walking_food:
303 get_dir_to_target(t, "s")