+#!/usr/bin/python3
import argparse
import errno
import os
"""Prepare ctypes library at ./libplomrogue.so"""
libpath = ("./libplomrogue.so")
if not os.access(libpath, os.F_OK):
- raise SystemExit("No library " + libpath + ", run ./compile.sh first?")
+ raise SystemExit("No library " + libpath +
+ ", run ./compile-server.sh first?")
libpr = ctypes.cdll.LoadLibrary(libpath)
libpr.seed_rrand.argtypes = [ctypes.c_uint8, ctypes.c_uint32]
libpr.seed_rrand.restype = ctypes.c_uint32
libpr.build_fov_map.argtypes = [ctypes.c_uint8, ctypes.c_uint8,
ctypes.c_char_p, ctypes.c_char_p]
libpr.build_fov_map.restype = ctypes.c_uint8
+ libpr.init_score_map.restype = ctypes.c_uint8
+ libpr.set_map_score.argtypes = [ctypes.c_uint16, ctypes.c_uint16]
+ libpr.set_map_score.restype = ctypes.c_uint8
+ libpr.get_map_score.argtypes = [ctypes.c_uint16]
+ libpr.get_map_score.restype = ctypes.c_int32
+ libpr.get_neighbor_score.argtypes = [ctypes.c_uint8]
+ libpr.get_neighbor_score.restype = ctypes.c_uint16
+ libpr.ready_neighbor_scores.argtpes = [ctypes.c_uint16]
+ libpr.ready_neighbor_scores.restype = ctypes.c_uint8
+ libpr.dijkstra_map.restype = ctypes.c_uint8
return libpr
def strong_write(file, string):
- """Apply write(string), flush(), and os.fsync() to file."""
+ """Apply write(string), then flush()."""
file.write(string)
file.flush()
- os.fsync(file)
def setup_server_io():
if os.access(path_tmp, os.F_OK):
raise SystemExit(msg)
io_db["teststring"] = str(os.getpid()) + " " + str(time.time())
+ io_db["save_wait"] = 0
+ io_db["verbose"] = False
+ io_db["record_chunk"] = ""
os.makedirs(io_db["path_server"], exist_ok=True)
io_db["file_out"] = open(io_db["path_out"], "w")
strong_write(io_db["file_out"], io_db["teststring"] + "\n")
def helper(file_key, path_key):
if file_key in io_db:
io_db[file_key].close()
- if not io_db["kicked_by_rival"] \
- and os.access(io_db[path_key], os.F_OK):
- os.remove(io_db[path_key])
- helper("file_out", "path_out")
+ if not io_db["kicked_by_rival"] \
+ and os.access(io_db[path_key], os.F_OK):
+ os.remove(io_db[path_key])
helper("file_in", "path_in")
+ helper("file_out", "path_out")
helper("file_worldstate", "path_worldstate")
if "file_record" in io_db:
io_db["file_record"].close()
a non-meta command from the commands_db merely triggers obey() on the next
command from the records file. If not, non-meta commands set
io_db["worldstate_updateable"] to world_db["WORLD_EXISTS"], and, if
- do_record is set, are recorded via record(), and save_world() is called.
- The prefix string is inserted into the server's input message between its
- beginning 'input ' & ':'. All activity is preceded by a server_test() call.
+ do_record is set, are recorded to io_db["record_chunk"], and save_world()
+ is called (and io_db["record_chunk"] written) if 15 seconds have passed
+ since the last time it was called. The prefix string is inserted into the
+ server's input message between its beginning 'input ' and ':'. All activity
+ is preceded by a server_test() call.
"""
server_test()
- print("input " + prefix + ": " + command)
+ if io_db["verbose"]:
+ print("input " + prefix + ": " + command)
try:
tokens = shlex.split(command, comments=True)
except ValueError as err:
else:
commands_db[tokens[0]][2](*tokens[1:])
if do_record:
- record(command)
- save_world()
+ io_db["record_chunk"] += command + "\n"
+ if time.time() > io_db["save_wait"] + 15:
+ atomic_write(io_db["path_record"], io_db["record_chunk"],
+ do_append=True)
+ save_world()
+ io_db["record_chunk"] = ""
+ io_db["save_wait"] = time.time()
io_db["worldstate_updateable"] = world_db["WORLD_ACTIVE"]
elif 0 != len(tokens):
print("Invalid command/argument, or bad number of tokens.")
os.rename(path_tmp, path)
-def record(command):
- """Append command string plus newline to record file. (Atomic.)"""
- # This misses some optimizations from the original record(), namely only
- # finishing the atomic write with expensive flush() and fsync() every 15
- # seconds unless explicitely forced. Implement as needed.
- atomic_write(io_db["path_record"], command + "\n", do_append=True)
-
-
def save_world():
"""Save all commands needed to reconstruct current world state."""
- # TODO: Misses same optimizations as record() from the original record().
def quote(string):
string = string.replace("\u005C", '\u005C\u005C')
parser = argparse.ArgumentParser()
parser.add_argument('-s', nargs='?', type=int, dest='replay', const=1,
action='store')
+ parser.add_argument('-l', nargs="?", const="save", dest='savefile',
+ action="store")
+ parser.add_argument('-v', dest='verbose', action='store_true')
opts, unknown = parser.parse_known_args()
return opts
world_db["Things"][id]["T_POSY"] = move_result[1]
world_db["Things"][id]["T_POSX"] = move_result[2]
build_fov_map(t)
- strong_write(io_db["file_out"], "LOG You move " + dir + ".\n")
- else:
+ if t == world_db["Things"][0]:
+ strong_write(io_db["file_out"], "LOG You move " + dir + ".\n")
+ elif t == world_db["Things"][0]:
strong_write(io_db["file_out"], "LOG You fail to move " + dir + ".\n")
def actor_pick_up(t):
"""Make t pick up (topmost?) Thing from ground into inventory."""
- # Topmostness is actually not defined so far.
+ # Topmostness is actually not defined so far. Picks Thing with highest ID.
ids = [id for id in world_db["Things"] if world_db["Things"][id] != t
if not world_db["Things"][id]["carried"]
if world_db["Things"][id]["T_POSY"] == t["T_POSY"]
if world_db["Things"][id]["T_POSX"] == t["T_POSX"]]
if len(ids):
- world_db["Things"][ids[0]]["carried"] = True
- t["T_CARRIES"].append(ids[0])
+ highest_id = 0
+ for id in ids:
+ if id > highest_id:
+ highest_id = id
+ world_db["Things"][highest_id]["carried"] = True
+ t["T_CARRIES"].append(highest_id)
if t == world_db["Things"][0]:
strong_write(io_db["file_out"], "LOG You pick up an object.\n")
elif t == world_db["Things"][0]:
t["T_CARRIES"].remove(id)
del world_db["Things"][id]
t["T_SATIATION"] += world_db["ThingTypes"][type]["TT_CONSUMABLE"]
- strong_write(io_db["file_out"], "LOG You consume this object.\n")
- else:
- strong_write(io_db["file_out"], "LOG You try to use this object," +
- "but fail.\n")
- else:
- strong_write(io_db["file_out"], "LOG You try to use an object, but " +
- "you own none.\n")
+ if t == world_db["Things"][0]:
+ strong_write(io_db["file_out"],
+ "LOG You consume this object.\n")
+ elif t == world_db["Things"][0]:
+ strong_write(io_db["file_out"],
+ "LOG You try to use this object, but fail.\n")
+ elif t == world_db["Things"][0]:
+ strong_write(io_db["file_out"],
+ "LOG You try to use an object, but you own none.\n")
def thingproliferation(t):
decrement_lifepoints(t)
-def get_dir_to_nearest_target(t, c):
- # Dummy
- return False
+def get_dir_to_target(t, filter):
+ """Try to set T_COMMAND/T_ARGUMENT for move to "filter"-determined target.
+
+ The path-wise nearest target is chosen, via the shortest available path.
+ Target must not be t. On succcess, return positive value, else False.
+ Filters:
+ "a": Thing in FOV is below a certain distance, animate, but of ThingType
+ that is not t's, and starts out weaker than t is; build path as
+ avoiding things of t's ThingType
+ "f": neighbor cell (not inhabited by any animate Thing) further away from
+ animate Thing not further than x steps away and in FOV and of a
+ ThingType that is not t's, and starts out stronger or as strong as t
+ is currently; or (cornered), if no such flight cell, but Thing of
+ above criteria is too near,1 a cell closer to it, or, if less near,
+ just wait
+ "c": Thing in memorized map is consumable
+ "s": memory map cell with greatest-reachable degree of unexploredness
+ """
+
+ def set_map_score(pos, score):
+ test = libpr.set_map_score(pos, score)
+ if test:
+ raise RuntimeError("No score map allocated for set_map_score().")
+
+ 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 seeing_thing():
+ if t["fovmap"] and ("a" == filter or "f" == filter):
+ for id in world_db["Things"]:
+ Thing = world_db["Things"][id]
+ if Thing != t and Thing["T_LIFEPOINTS"] and \
+ t["T_TYPE"] != Thing["T_TYPE"] and \
+ 'v' == chr(t["fovmap"][(Thing["T_POSY"]
+ * world_db["MAP_LENGTH"])
+ + Thing["T_POSX"]]):
+ ThingType = world_db["ThingTypes"][Thing["T_TYPE"]]
+ if ("f" == filter and ThingType["TT_LIFEPOINTS"] >=
+ t["T_LIFEPOINTS"]) \
+ or ("a" == filter and ThingType["TT_LIFEPOINTS"] <
+ t["T_LIFEPOINTS"]):
+ return True
+ elif t["T_MEMMAP"] and "c" == filter:
+ for mt in t["T_MEMTHING"]:
+ if ' ' != chr(t["T_MEMMAP"][(mt[1] * world_db["MAP_LENGTH"])
+ + mt[2]]) \
+ and world_db["ThingTypes"][mt[0]]["TT_CONSUMABLE"]:
+ return True
+ return False
+
+ def init_score_map():
+ test = libpr.init_score_map()
+ if test:
+ raise RuntimeError("Malloc error in init_score_map().")
+ for i in [i for i in range(world_db["MAP_LENGTH"] ** 2)
+ if '.' == chr(t["T_MEMMAP"][i])]:
+ set_map_score(i, 65535 - 1)
+ if "a" == filter:
+ for id in world_db["Things"]:
+ Thing = world_db["Things"][id]
+ pos = Thing["T_POSY"] * world_db["MAP_LENGTH"] \
+ + Thing["T_POSX"]
+ if t != Thing and Thing["T_LIFEPOINTS"] and \
+ t["T_TYPE"] != Thing["T_TYPE"] and \
+ 'v' == chr(t["fovmap"][pos]) and \
+ t["T_LIFEPOINTS"] > \
+ world_db["ThingTypes"][Thing["T_TYPE"]]["TT_LIFEPOINTS"]:
+ set_map_score(pos, 0)
+ elif t["T_TYPE"] == Thing["T_TYPE"]:
+ set_map_score(pos, 65535)
+ elif "f" == filter:
+ for id in [id for id in world_db["Things"]
+ if world_db["Things"][id]["T_LIFEPOINTS"]]:
+ Thing = world_db["Things"][id]
+ pos = Thing["T_POSY"] * world_db["MAP_LENGTH"] \
+ + Thing["T_POSX"]
+ if t["T_TYPE"] != Thing["T_TYPE"] and \
+ 'v' == chr(t["fovmap"][pos]) and \
+ t["T_LIFEPOINTS"] <= \
+ world_db["ThingTypes"][Thing["T_TYPE"]]["TT_LIFEPOINTS"]:
+ set_map_score(pos, 0)
+ elif "c" == filter:
+ for mt in [mt for mt in t["T_MEMTHING"]
+ if ' ' != chr(t["T_MEMMAP"][mt[1]
+ * world_db["MAP_LENGTH"]
+ + mt[2]])
+ if world_db["ThingTypes"][mt[0]]["TT_CONSUMABLE"]]:
+ set_map_score(mt[1] * world_db["MAP_LENGTH"] + mt[2], 0)
+ elif "s" == filter:
+ for i in [i for i in range(world_db["MAP_LENGTH"] ** 2)
+ if t["T_MEMDEPTHMAP"][i] == mem_depth_c[0]]:
+ set_map_score(i, 0)
+
+ def rand_target_dir(neighbors, cmp, dirs):
+ candidates = []
+ n_candidates = 0
+ for i in range(len(dirs)):
+ if cmp == neighbors[i]:
+ candidates.append(dirs[i])
+ n_candidates += 1
+ return candidates[rand.next() % n_candidates] if n_candidates else 0
+
+ def get_neighbor_scores(dirs, eye_pos):
+ scores = []
+ if libpr.ready_neighbor_scores(eye_pos):
+ raise RuntimeError("No score map allocated for " +
+ "ready_neighbor_scores.()")
+ for i in range(len(dirs)):
+ scores.append(libpr.get_neighbor_score(i))
+ return scores
+
+ def get_dir_from_neighbors():
+ dir_to_target = False
+ dirs = "edcxsw"
+ eye_pos = t["T_POSY"] * world_db["MAP_LENGTH"] + t["T_POSX"]
+ neighbors = get_neighbor_scores(dirs, eye_pos)
+ if "f" == filter:
+ inhabited = [world_db["Things"][id]["T_POSY"]
+ * world_db["MAP_LENGTH"]
+ + world_db["Things"][id]["T_POSX"]
+ for id in world_db["Things"]
+ if world_db["Things"][id]["T_LIFEPOINTS"]]
+ for i in range(len(dirs)):
+ mv_yx_in_dir_legal(dirs[i], t["T_POSY"], t["T_POSX"])
+ pos_cmp = libpr.result_y() * world_db["MAP_LENGTH"] \
+ + libpr.result_x()
+ for pos in [pos for pos in inhabited if pos == pos_cmp]:
+ neighbors[i] = 65535
+ break
+ minmax_start = 0 if "f" == filter else 65535 - 1
+ minmax_neighbor = minmax_start
+ for i in range(len(dirs)):
+ if ("f" == filter and get_map_score(eye_pos) < neighbors[i] and
+ minmax_neighbor < neighbors[i] and 65535 != neighbors[i]) \
+ or ("f" != filter 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 "f" == filter:
+ if not dir_to_target:
+ if 1 == get_map_score(eye_pos):
+ dir_to_target = rand_target_dir(neighbors, 0, dirs)
+ elif 3 >= get_map_score(eye_pos):
+ t["T_COMMAND"] = [id for id in world_db["ThingActions"]
+ if
+ world_db["ThingActions"][id]["TA_NAME"]
+ == "wait"][0]
+ return 1
+ elif dir_to_target and 3 < get_map_score(eye_pos):
+ dir_to_target = 0
+ elif "a" == filter and 10 <= get_map_score(eye_pos):
+ dir_to_target = 0
+ return dir_to_target
+
+ dir_to_target = False
+ mem_depth_c = b' '
+ run_i = 9 + 1 if "s" == filter else 1
+ while run_i and not dir_to_target and ("s" == filter or seeing_thing()):
+ run_i -= 1
+ init_score_map()
+ mem_depth_c = b'9' if b' ' == mem_depth_c \
+ else bytes([mem_depth_c[0] - 1])
+ if libpr.dijkstra_map():
+ raise RuntimeError("No score map allocated for dijkstra_map().")
+ dir_to_target = get_dir_from_neighbors()
+ libpr.free_score_map()
+ if dir_to_target and str == type(dir_to_target):
+ t["T_COMMAND"] = [id for id in world_db["ThingActions"]
+ if world_db["ThingActions"][id]["TA_NAME"]
+ == "move"][0]
+ t["T_ARGUMENT"] = ord(dir_to_target)
+ return dir_to_target
def standing_on_consumable(t):
"""
t["T_COMMAND"] = [id for id in world_db["ThingActions"]
if world_db["ThingActions"][id]["TA_NAME"] == "wait"][0]
- if not get_dir_to_nearest_target(t, "f"):
+ if not get_dir_to_target(t, "f"):
sel = get_inventory_slot_to_consume(t)
if -1 != sel:
t["T_COMMAND"] = [id for id in world_db["ThingActions"]
t["T_COMMAND"] = [id for id in world_db["ThingActions"]
if world_db["ThingActions"][id]["TA_NAME"]
== "pick_up"][0]
- elif (not get_dir_to_nearest_target(t, "c")) and \
- (not get_dir_to_nearest_target(t, "a")):
- get_dir_to_nearest_target(t, "s")
+ elif (not get_dir_to_target(t, "c")) and \
+ (not get_dir_to_target(t, "a")):
+ get_dir_to_target(t, "s")
def turn_over():
id = 0
whilebreaker = False
while world_db["Things"][0]["T_LIFEPOINTS"]:
- for id in [id for id in world_db["Things"]]:
- if not id in world_db["Things"]: # Thing may have been consumed
- continue # during turn …
+ for id in [id for id in world_db["Things"]]: # Only what's from start!
+ if not id in world_db["Things"] or \
+ world_db["Things"][id]["carried"]: # May have been consumed or
+ continue # picked up during turn …
Thing = world_db["Things"][id]
if Thing["T_LIFEPOINTS"]:
if not Thing["T_COMMAND"]:
whilebreaker = True
break
ai(Thing)
- Thing["T_COMMAND"] = 1
try_healing(Thing)
Thing["T_PROGRESS"] += 1
taid = [a for a in world_db["ThingActions"]
def command_quit():
"""Abort server process."""
+ save_world()
+ atomic_write(io_db["path_record"], io_db["record_chunk"], do_append=True)
raise SystemExit("received QUIT command")
strong_write(io_db["file_out"], "THINGS_HERE START\n")
if "v" == chr(world_db["Things"][0]["fovmap"][pos]):
for id in world_db["Things"]:
- # write_thing_if_here()
if y == world_db["Things"][id]["T_POSY"] \
and x == world_db["Things"][id]["T_POSX"] \
and not world_db["Things"][id]["carried"]:
if world_db["Things"][id]["T_LIFEPOINTS"]:
build_fov_map(world_db["Things"][id])
if 0 == id:
- update_map_memory(world_db["Things"][id])
+ update_map_memory(world_db["Things"][id], False)
world_db["WORLD_ACTIVE"] = 1
"""File IO database."""
io_db = {
"path_save": "save",
- "path_record": "record",
+ "path_record": "record_save",
"path_worldconf": "confserver/world",
"path_server": "server/",
"path_in": "server/in",
libpr = prep_library()
rand = RandomnessIO()
opts = parse_command_line_arguments()
+ if opts.savefile:
+ io_db["path_save"] = opts.savefile
+ io_db["path_record"] = "record_" + opts.savefile
setup_server_io()
+ if opts.verbose:
+ io_db["verbose"] = True
if None != opts.replay:
replay_game()
else:
projects / plomrogue / blobdiff