home · contact · privacy
Server: Minor AI algorithm performance optimization.
[plomrogue] / server / ai.py
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.
4
5
6 from server.config.world_data import world_db
7
8
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
16
17
18 def get_dir_to_target(t, filter):
19     """Try to set T_COMMAND/T_ARGUMENT for move to "filter"-determined target.
20
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.
23     Filters:
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
34     """
35     from server.utils import rand, libpr, c_pointer_to_bytearray
36     from server.config.world_data import symbols_passable
37
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]]:
42         #     set_map_score(i, 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().")
47
48     def set_map_score(pos, score):
49         test = libpr.set_map_score(pos, score)
50         if test:
51             raise RuntimeError("No score map allocated for set_map_score().")
52
53     def get_map_score(pos):
54         result = libpr.get_map_score(pos)
55         if result < 0:
56             raise RuntimeError("No score map allocated for get_map_score().")
57         return result
58
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 118 == t["fovmap"][Thing["pos"]] and not Thing == t]
63
64     def good_attack_target(v):
65         eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
66         ty = world_db["ThingTypes"][v["T_TYPE"]]
67         type_corpse = world_db["ThingTypes"][ty["TT_CORPSE_ID"]]
68         if t["T_LIFEPOINTS"] > ty["TT_LIFEPOINTS"] \
69         and type_corpse["TT_TOOL"] == "food" \
70         and type_corpse["TT_TOOLPOWER"] > eat_cost:
71             return True
72         return False
73
74     def good_flee_target(m):
75         own_corpse_id = world_db["ThingTypes"][t["T_TYPE"]]["TT_CORPSE_ID"]
76         corpse_type = world_db["ThingTypes"][own_corpse_id]
77         targetness = 0 if corpse_type["TT_TOOL"] != "food" \
78                        else corpse_type["TT_TOOLPOWER"]
79         type = world_db["ThingTypes"][m["T_TYPE"]]
80         if t["T_LIFEPOINTS"] < type["TT_LIFEPOINTS"] \
81         and targetness > eat_vs_hunger_threshold(m["T_TYPE"]):
82             return True
83         return False
84
85     def seeing_thing():
86         def exists(gen):
87             try:
88                 next(gen)
89             except StopIteration:
90                 return False
91             return True
92         maplength = world_db["MAP_LENGTH"]
93         if t["fovmap"] and "a" == filter:
94             return exists(Thing for Thing in animates_in_fov(maplength)
95                                 if good_attack_target(Thing))
96         elif t["fovmap"] and "f" == filter:
97             return exists(Thing for Thing in animates_in_fov(maplength)
98                                 if good_flee_target(Thing))
99         elif t["T_MEMMAP"] and "c" == filter:
100             eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
101             ord_blank = ord(" ")
102             map_len = world_db["MAP_LENGTH"]
103             return exists(mt for mt in t["T_MEMTHING"]
104                           if ord_blank != t["T_MEMMAP"][mt[1] * map_len + mt[2]]
105                           and world_db["ThingTypes"][mt[0]]["TT_TOOL"] == "food"
106                           and world_db["ThingTypes"][mt[0]]["TT_TOOLPOWER"]
107                              > eat_cost)
108         return False
109
110     def set_cells_passable_on_memmap_to_65534_on_scoremap():
111         # OUTSOURCED FOR PERFORMANCE REASONS TO libplomrogue.so:
112         # memmap = t["T_MEMMAP"]
113         # for i in [i for i in range(world_db["MAP_LENGTH"] ** 2)
114         #            if memmap[i] in symbols_passable]:
115         #     set_map_score(i, 65534) # i.e. 65535-1
116         map = c_pointer_to_bytearray(t["T_MEMMAP"])
117         if libpr.set_cells_passable_on_memmap_to_65534_on_scoremap(map,
118                     symbols_passable):
119             raise RuntimeError("No score map allocated for set_cells_passable"
120                                "_on_memmap_to_65534_on_scoremap().")
121
122     def init_score_map():
123         test = libpr.init_score_map()
124         if test:
125             raise RuntimeError("Malloc error in init_score_map().")
126         ord_v = ord("v")
127         ord_blank = ord(" ")
128         set_cells_passable_on_memmap_to_65534_on_scoremap()
129         maplen = world_db["MAP_LENGTH"]
130         if "a" == filter:
131             [set_map_score(Thing["pos"], 0) for
132              Thing in animates_in_fov(maplen) if good_attack_target(Thing)]
133         elif "f" == filter:
134             [set_map_score(Thing["pos"], 0) for
135              Thing in animates_in_fov(maplen) if good_flee_target(Thing)]
136         elif "c" == filter:
137             eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
138             ord_blank = ord(" ")
139             [set_map_score(mt[1] * maplen + mt[2], 0)
140              for mt in t["T_MEMTHING"]
141              if ord_blank != t["T_MEMMAP"][mt[1] * maplen + mt[2]]
142              if world_db["ThingTypes"][mt[0]]["TT_TOOL"] == "food"
143              if world_db["ThingTypes"][mt[0]]["TT_TOOLPOWER"] > eat_cost]
144         elif "s" == filter:
145             zero_score_map_where_char_on_memdepthmap(mem_depth_c[0])
146         if "f" == filter:
147             [set_map_score(Thing["pos"], 65535)
148              for Thing in animates_in_fov(maplen)
149              if get_map_score(Thing["pos"])]
150         elif "a" != filter:
151             [set_map_score(Thing["pos"], 65535)
152              for Thing in animates_in_fov(maplen)]
153
154     def rand_target_dir(neighbors, cmp, dirs):
155         candidates = []
156         n_candidates = 0
157         for i in range(len(dirs)):
158             if cmp == neighbors[i]:
159                 candidates.append(dirs[i])
160                 n_candidates += 1
161         return candidates[rand.next() % n_candidates] if n_candidates else 0
162
163     def get_neighbor_scores(dirs, eye_pos):
164         scores = []
165         if libpr.ready_neighbor_scores(eye_pos):
166             raise RuntimeError("No score map allocated for " +
167                                "ready_neighbor_scores.()")
168         for i in range(len(dirs)):
169             scores.append(libpr.get_neighbor_score(i))
170         return scores
171
172     def get_dir_from_neighbors():
173         import math
174         dir_to_target = False
175         dirs = "edcxsw"
176         eye_pos = t["pos"]
177         neighbors = get_neighbor_scores(dirs, eye_pos)
178         minmax_start = 0 if "f" == filter else 65535 - 1
179         minmax_neighbor = minmax_start
180         for i in range(len(dirs)):
181             if ("f" == filter and get_map_score(eye_pos) < neighbors[i] and
182                 minmax_neighbor < neighbors[i] and 65535 != neighbors[i]) \
183                or ("f" != filter and minmax_neighbor > neighbors[i]):
184                 minmax_neighbor = neighbors[i]
185         if minmax_neighbor != minmax_start:
186             dir_to_target = rand_target_dir(neighbors, minmax_neighbor, dirs)
187         if "f" == filter:
188             distance = get_map_score(eye_pos)
189             fear_distance = world_db["MAP_LENGTH"]
190             if t["T_SATIATION"] < 0 and math.sqrt(-t["T_SATIATION"]) > 0:
191                 fear_distance = fear_distance / math.sqrt(-t["T_SATIATION"])
192             attack_distance = 1
193             if not dir_to_target:
194                 if attack_distance >= distance:
195                     dir_to_target = rand_target_dir(neighbors,
196                                                     distance - 1, dirs)
197                 elif fear_distance >= distance:
198                     t["T_COMMAND"] = [id for id in world_db["ThingActions"]
199                                       if
200                                       world_db["ThingActions"][id]["TA_NAME"]
201                                       == "wait"][0]
202                     return 1
203             elif dir_to_target and fear_distance < distance:
204                 dir_to_target = 0
205         return dir_to_target
206
207     dir_to_target = False
208     mem_depth_c = b' '
209     run_i = 9 + 1 if "s" == filter else 1
210     while run_i and not dir_to_target and ("s" == filter or seeing_thing()):
211         run_i -= 1
212         init_score_map()
213         mem_depth_c = b'9' if b' ' == mem_depth_c \
214             else bytes([mem_depth_c[0] - 1])
215         if libpr.dijkstra_map():
216             raise RuntimeError("No score map allocated for dijkstra_map().")
217         dir_to_target = get_dir_from_neighbors()
218         libpr.free_score_map()
219         if dir_to_target and str == type(dir_to_target):
220             t["T_COMMAND"] = [id for id in world_db["ThingActions"]
221                               if world_db["ThingActions"][id]["TA_NAME"]
222                               == "move"][0]
223             t["T_ARGUMENT"] = ord(dir_to_target)
224     return dir_to_target
225
226
227 def standing_on_food(t):
228     """Return True/False whether t is standing on healthy consumable."""
229     eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
230     for id in [id for id in world_db["Things"] if world_db["Things"][id] != t
231                if not world_db["Things"][id]["carried"]
232                if world_db["Things"][id]["pos"] == t["pos"]
233                if world_db["ThingTypes"][world_db["Things"][id]["T_TYPE"]]
234                   ["TT_TOOL"] == "food"
235                if world_db["ThingTypes"][world_db["Things"][id]["T_TYPE"]]
236                   ["TT_TOOLPOWER"] > eat_cost]:
237         return True
238     return False
239
240
241 def get_inventory_slot_to_consume(t):
242     """Return invent. slot of healthiest consumable(if any healthy),else -1."""
243     cmp_food = -1
244     selection = -1
245     i = 0
246     eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
247     for id in t["T_CARRIES"]:
248         type = world_db["Things"][id]["T_TYPE"]
249         if world_db["ThingTypes"][type]["TT_TOOL"] == "food" \
250            and world_db["ThingTypes"][type]["TT_TOOLPOWER"]:
251             nutvalue = world_db["ThingTypes"][type]["TT_TOOLPOWER"]
252             tmp_cmp = abs(t["T_SATIATION"] + nutvalue - eat_cost)
253             if (cmp_food < 0 and tmp_cmp < abs(t["T_SATIATION"])) \
254             or tmp_cmp < cmp_food:
255                 cmp_food = tmp_cmp
256                 selection = i
257         i += 1
258     return selection
259
260
261 def ai(t):
262     """Determine next command/argment for actor t via AI algorithms."""
263     t["T_COMMAND"] = [id for id in world_db["ThingActions"]
264                       if world_db["ThingActions"][id]["TA_NAME"] == "wait"][0]
265     eating = len([id for id in world_db["ThingActions"]
266                   if world_db["ThingActions"][id]["TA_NAME"] == "use"]) > 0
267     picking = len([id for id in world_db["ThingActions"]
268                    if world_db["ThingActions"][id]["TA_NAME"] == "pickup"]) > 0
269     if eating and picking:
270         if get_dir_to_target(t, "f"):
271             return
272         sel = get_inventory_slot_to_consume(t)
273         from server.config.ai import ai_hook_pickup_test
274         if -1 != sel:
275             t["T_COMMAND"] = [id for id in world_db["ThingActions"]
276                               if world_db["ThingActions"][id]["TA_NAME"]
277                                  == "use"][0]
278             t["T_ARGUMENT"] = sel
279         elif standing_on_food(t) and ai_hook_pickup_test(t):
280                 t["T_COMMAND"] = [id for id in world_db["ThingActions"]
281                                   if world_db["ThingActions"][id]["TA_NAME"]
282                                   == "pickup"][0]
283         else:
284             going_to_known_food_spot = get_dir_to_target(t, "c")
285             if not going_to_known_food_spot:
286                 aiming_for_walking_food = get_dir_to_target(t, "a")
287                 if not aiming_for_walking_food:
288                     get_dir_to_target(t, "s")