genPOI: use filter functions on the fly
Instead of reading all Players and especially Entities and TileEntities into RAM and than applying the filter functions onto them, filter functions are used after each parsed chunk to get only the markers of this chunk and not all Entities. This reduced the RAM usage dramatically: On a 233 MB map over 200 MB of RAM was used before. Using these changes (and only having two filter functions for signs) not more than 36 MB of RAM was used.
This commit is contained in:
@@ -20,18 +20,17 @@ import json
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import sys
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import re
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import urllib2
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import Queue
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import multiprocessing
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import itertools
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from collections import defaultdict
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from multiprocessing import Process
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from multiprocessing import Pool
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from optparse import OptionParser
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from overviewer_core import logger
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from overviewer_core import nbt
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from overviewer_core import configParser, world
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from overviewer_core import rendermodes
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UUID_LOOKUP_URL = 'https://sessionserver.mojang.com/session/minecraft/profile/'
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@@ -43,22 +42,26 @@ def replaceBads(s):
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x = x.replace(bad,"_")
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return x
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# yes there's a double parenthesis here
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# see below for when this is called, and why we do this
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# a smarter way would be functools.partial, but that's broken on python 2.6
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# when used with multiprocessing
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def parseBucketChunks((bucket, rset)):
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def parseBucketChunks((bucket, rset, filters)):
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pid = multiprocessing.current_process().pid
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pois = dict(TileEntities=[], Entities=[]);
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markers = defaultdict(list)
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i = 0
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cnt = 0
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l = len(bucket)
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for b in bucket:
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try:
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data = rset.get_chunk(b[0],b[1])
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pois['TileEntities'] += data['TileEntities']
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pois['Entities'] += data['Entities']
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for poi in itertools.chain(data['TileEntities'], data['Entities']):
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for name, filter_function in filters:
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result = filter_function(poi)
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if result:
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d = create_marker_from_filter_result(poi, result)
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markers[name].append(d)
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except nbt.CorruptChunkError:
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logging.warning("Ignoring POIs in corrupt chunk %d,%d", b[0], b[1])
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@@ -67,58 +70,67 @@ def parseBucketChunks((bucket, rset)):
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if i == 250:
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i = 0
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cnt = 250 + cnt
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logging.info("Found %d entities and %d tile entities in thread %d so far at %d chunks", len(pois['Entities']), len(pois['TileEntities']), pid, cnt);
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logging.info("Found %d markers in thread %d so far at %d chunks", sum(len(v) for v in markers.itervalues()), pid, cnt);
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return pois
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return markers
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def handleEntities(rset, outputdir, render, rname, config):
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# if we're already handled the POIs for this region regionset, do nothing
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if hasattr(rset, "_pois"):
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return
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def handleEntities(rset, config, filters, markers):
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"""
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Add markers for Entities or TileEntities.
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For this every chunk of the regionset is parsed and filtered using multiple
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processes, if so configured.
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This function will not return anything, but it will update the parameter
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`markers`.
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"""
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logging.info("Looking for entities in %r", rset)
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filters = render['markers']
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rset._pois = dict(TileEntities=[], Entities=[])
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numbuckets = config['processes'];
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if numbuckets < 0:
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numbuckets = multiprocessing.cpu_count()
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if numbuckets == 1:
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for (x,z,mtime) in rset.iterate_chunks():
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for (x, z, mtime) in rset.iterate_chunks():
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try:
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data = rset.get_chunk(x,z)
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rset._pois['TileEntities'] += data['TileEntities']
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rset._pois['Entities'] += data['Entities']
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data = rset.get_chunk(x, z)
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for poi in itertools.chain(data['TileEntities'], data['Entities']):
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for name, __, filter_function, __, __, __ in filters:
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result = filter_function(poi)
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if result:
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d = create_marker_from_filter_result(poi, result)
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markers[name]['raw'].append(d)
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except nbt.CorruptChunkError:
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logging.warning("Ignoring POIs in corrupt chunk %d,%d", x,z)
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else:
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buckets = [[] for i in range(numbuckets)];
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for (x,z,mtime) in rset.iterate_chunks():
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for (x, z, mtime) in rset.iterate_chunks():
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i = x / 32 + z / 32
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i = i % numbuckets
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buckets[i].append([x,z])
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buckets[i].append([x, z])
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for b in buckets:
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logging.info("Buckets has %d entries", len(b));
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# Create a pool of processes and run all the functions
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pool = Pool(processes=numbuckets)
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results = pool.map(parseBucketChunks, ((buck, rset) for buck in buckets))
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# simplify the filters dict, so pickle doesn't have to do so much
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filters = [(name, filter_function) for name, __, filter_function, __, __, __ in filters]
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results = pool.map(parseBucketChunks, ((buck, rset, filters) for buck in buckets))
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logging.info("All the threads completed")
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# Fix up all the quests in the reset
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for data in results:
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rset._pois['TileEntities'] += data['TileEntities']
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rset._pois['Entities'] += data['Entities']
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for marker_dict in results:
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for name, marker_list in marker_dict.iteritems():
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markers[name]['raw'].extend(marker_list)
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logging.info("Done.")
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class PlayerDict(dict):
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use_uuid = False
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_name = ''
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@@ -140,19 +152,16 @@ class PlayerDict(dict):
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except (ValueError, urllib2.URLError):
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logging.warning("Unable to get player name for UUID %s", self._name)
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def handlePlayers(rset, render, worldpath):
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if not hasattr(rset, "_pois"):
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rset._pois = dict(TileEntities=[], Entities=[])
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# only handle this region set once
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if 'Players' in rset._pois:
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return
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if rset.get_type():
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dimension = int(re.match(r"^DIM(_MYST)?(-?\d+)$", rset.get_type()).group(2))
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else:
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dimension = 0
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def handlePlayers(worldpath, filters, markers):
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"""
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Add markers for players to the list of markers.
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For this the player files under the given `worldpath` are parsed and
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filtered.
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This function will not return anything, but it will update the parameter
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`markers`.
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"""
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playerdir = os.path.join(worldpath, "playerdata")
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useUUIDs = True
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if not os.path.isdir(playerdir):
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@@ -163,12 +172,10 @@ def handlePlayers(rset, render, worldpath):
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playerfiles = os.listdir(playerdir)
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playerfiles = [x for x in playerfiles if x.endswith(".dat")]
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isSinglePlayer = False
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else:
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playerfiles = [os.path.join(worldpath, "level.dat")]
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isSinglePlayer = True
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rset._pois['Players'] = []
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for playerfile in playerfiles:
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try:
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data = PlayerDict(nbt.load(os.path.join(playerdir, playerfile))[1])
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@@ -178,38 +185,63 @@ def handlePlayers(rset, render, worldpath):
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except IOError:
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logging.warning("Skipping bad player dat file %r", playerfile)
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continue
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playername = playerfile.split(".")[0]
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playername = playerfile.split(".")[0]
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if isSinglePlayer:
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playername = 'Player'
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data._name = playername
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if data['Dimension'] == dimension:
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# Position at last logout
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data['id'] = "Player"
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data['x'] = int(data['Pos'][0])
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data['y'] = int(data['Pos'][1])
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data['z'] = int(data['Pos'][2])
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rset._pois['Players'].append(data)
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if "SpawnX" in data and dimension == 0:
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# Spawn position (bed or main spawn)
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if "SpawnX" in data:
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spawn = PlayerDict()
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spawn._name = playername
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spawn["id"] = "PlayerSpawn"
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spawn["x"] = data['SpawnX']
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spawn["y"] = data['SpawnY']
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spawn["z"] = data['SpawnZ']
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rset._pois['Players'].append(spawn)
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def handleManual(rset, manualpois):
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if not hasattr(rset, "_pois"):
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rset._pois = dict(TileEntities=[], Entities=[])
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for name, __, filter_function, rset, __, __ in filters:
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# get the dimension for the filter
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# This has do be done every time, because we have filters for
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# different regionsets.
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rset._pois['Manual'] = []
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if rset.get_type():
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dimension = int(re.match(r"^DIM(_MYST)?(-?\d+)$", rset.get_type()).group(2))
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else:
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dimension = 0
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if manualpois:
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rset._pois['Manual'].extend(manualpois)
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if data['Dimension'] == dimension:
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result = filter_function(data)
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if result:
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d = create_marker_from_filter_result(data, result)
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markers[name]['raw'].append(d)
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if dimension == 0 and "SpawnX" in data:
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result = filter_function(spawn)
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if result:
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d = create_marker_from_filter_result(spawn, result)
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markers[name]['raw'].append(d)
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def handleManual(manualpois, filters, markers):
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"""
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Add markers for manually defined POIs to the list of markers.
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This function will not return anything, but it will update the parameter
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`markers`.
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"""
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for poi in manualpois:
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for name, __, filter_function, __, __, __ in filters:
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result = filter_function(poi)
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if result:
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d = create_marker_from_filter_result(poi, result)
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markers[name]['raw'].append(d)
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def create_marker_from_filter_result(poi, result):
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@@ -293,10 +325,13 @@ def main():
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# saves us from creating the same World object over and over again
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worldcache = {}
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markersets = set()
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markers = defaultdict(list)
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filters = set()
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marker_groups = defaultdict(list)
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# collect all filters and get regionsets
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for rname, render in config['renders'].iteritems():
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# Convert render['world'] to the world path, and store the original
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# in render['worldname_orig']
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try:
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worldpath = config['worlds'][render['world']]
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except KeyError:
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@@ -313,56 +348,79 @@ def main():
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else:
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w = worldcache[render['world']]
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# get the regionset for this dimension
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rset = w.get_regionset(render['dimension'][1])
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if rset == None: # indicates no such dimension was found:
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logging.error("Sorry, you requested dimension '%s' for the render '%s', but I couldn't find it", render['dimension'][0], rname)
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return 1
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# find filters for this render
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for f in render['markers']:
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# internal identifier for this filter
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name = replaceBads(f['name']) + hex(hash(f['filterFunction']))[-4:] + "_" + hex(hash(rset))[-4:]
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markersets.add((name, (f['name'], f['filterFunction']), rset))
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to_append = dict(groupName=name,
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# we need to make the function pickleable for multiprocessing to
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# work
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# We set a custom prefix here to not override any functions there.
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# These functions are only pickleable if they are bound to a
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# module. Since rendermodes imports the config, they are bound to
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# it anyway, but don't end up importable as
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# `rendermodes.filter_fn`. That's why we set it here explicitly on
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# the module.
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f['filterFunction'].__name__ = "custom_filter_" + f['filterFunction'].__name__
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setattr(rendermodes, f['filterFunction'].__name__, f['filterFunction'])
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# add it to the list of filters
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filters.add((name, f['name'], f['filterFunction'], rset, worldpath, rname))
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# add an entry in the menu to show markers found by this filter
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group = dict(groupName=name,
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displayName = f['name'],
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icon=f.get('icon', 'signpost_icon.png'),
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createInfoWindow=f.get('createInfoWindow',True),
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createInfoWindow=f.get('createInfoWindow', True),
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checked = f.get('checked', False))
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markers[rname].append(to_append)
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marker_groups[rname].append(group)
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# initialize the structure for the markers
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markers = dict((name, dict(created=False, raw=[], name=filter_name))
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for name, filter_name, __, __, __, __ in filters)
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# apply filters to regionsets
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if not options.skipscan:
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handleEntities(rset, os.path.join(destdir, rname), render, rname, config)
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# group filters by rset
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keyfunc = lambda x: x[3]
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sfilters = sorted(filters, key=keyfunc)
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for rset, rset_filters in itertools.groupby(sfilters, keyfunc):
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handleEntities(rset, config, rset_filters, markers)
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if options.skipplayers:
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rset._pois['Players'] = []
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else:
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handlePlayers(rset, render, worldpath)
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# apply filters to players
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if not options.skipplayers:
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# group filters by worldpath, so we only search for players once per
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# world
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keyfunc = lambda x: x[4]
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sfilters = sorted(filters, key=keyfunc)
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for worldpath, worldpath_filters in itertools.groupby(sfilters, keyfunc):
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handlePlayers(worldpath, worldpath_filters, markers)
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handleManual(rset, render['manualpois'])
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# add manual POIs
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# group filters by name of the render, because only filter functions for
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# the current render should be used on the current render's manualpois
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keyfunc = lambda x: x[5]
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sfilters = sorted(filters, key=keyfunc)
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for rname, rname_filters in itertools.groupby(sfilters, keyfunc):
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manualpois = config['renders'][rname]['manualpois']
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handleManual(manualpois, rname_filters, markers)
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logging.info("Done handling POIs")
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logging.info("Writing out javascript files")
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markerSetDict = dict()
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for (name, flter, rset) in markersets:
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# generate a unique name for this markerset. it will not be user visible
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filter_name = flter[0]
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filter_function = flter[1]
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markerSetDict[name] = dict(created=False, raw=[], name=filter_name)
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poi_sets = ['Entities', 'TileEntities', 'Players', 'Manual']
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for poi in itertools.chain(rset._pois[n] for n in poi_sets):
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result = filter_function(poi)
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if result:
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d = create_marker_from_filter_result(poi, result)
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markerSetDict[name]['raw'].append(d)
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#print markerSetDict
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with open(os.path.join(destdir, "markersDB.js"), "w") as output:
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output.write("var markersDB=")
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json.dump(markerSetDict, output, indent=2)
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json.dump(markers, output, indent=2)
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output.write(";\n");
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with open(os.path.join(destdir, "markers.js"), "w") as output:
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output.write("var markers=")
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json.dump(markers, output, indent=2)
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json.dump(marker_groups, output, indent=2)
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output.write(";\n");
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with open(os.path.join(destdir, "baseMarkers.js"), "w") as output:
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output.write("overviewer.util.injectMarkerScript('markersDB.js');\n")
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Reference in New Issue
Block a user