Initial commit for multi-layer rendering.
Hardwired to use all 4 render modes at once. Todo: add config file/commandline argument support.
This commit is contained in:
346
rendernode.py
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346
rendernode.py
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# This file is part of the Minecraft Overviewer.
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#
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# Minecraft Overviewer is free software: you can redistribute it and/or
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# modify it under the terms of the GNU General Public License as published
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# by the Free Software Foundation, either version 3 of the License, or (at
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# your option) any later version.
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#
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# Minecraft Overviewer is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General
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# Public License for more details.
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#
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# You should have received a copy of the GNU General Public License along
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# with the Overviewer. If not, see <http://www.gnu.org/licenses/>.
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import multiprocessing
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import itertools
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from itertools import cycle, islice
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import os
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import os.path
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import functools
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import re
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import shutil
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import collections
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import json
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import logging
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import util
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import cPickle
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import stat
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import errno
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import time
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from time import gmtime, strftime, sleep
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"""
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This module has routines related to distributing the render job to multipule nodes
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"""
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def catch_keyboardinterrupt(func):
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"""Decorator that catches a keyboardinterrupt and raises a real exception
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so that multiprocessing will propagate it properly"""
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@functools.wraps(func)
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def newfunc(*args, **kwargs):
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try:
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return func(*args, **kwargs)
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except KeyboardInterrupt:
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logging.error("Ctrl-C caught!")
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raise Exception("Exiting")
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except:
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import traceback
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traceback.print_exc()
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raise
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return newfunc
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child_rendernode = None
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def pool_initializer(rendernode):
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logging.debug("Child process {0}".format(os.getpid()))
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#stash the quadtree objects in a global variable after fork() for windows compat.
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global child_rendernode
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child_rendernode = rendernode
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#http://docs.python.org/library/itertools.html
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def roundrobin(iterables):
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"roundrobin('ABC', 'D', 'EF') --> A D E B F C"
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# Recipe credited to George Sakkis
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pending = len(iterables)
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nexts = cycle(iter(it).next for it in iterables)
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while pending:
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try:
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for next in nexts:
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yield next()
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except StopIteration:
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pending -= 1
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nexts = cycle(islice(nexts, pending))
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class RenderNode(object):
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def __init__(self, world, quadtrees):
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"""Distributes the rendering of a list of quadtrees. All of the quadtrees must have the same world."""
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if not len(quadtrees) > 0:
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raise ValueError("there must be at least one quadtree to work on")
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self.world = world
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self.quadtrees = quadtrees
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#bind an index value to the quadtree so we can find it again
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i = 0
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for q in quadtrees:
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q._render_index = i
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i += 1
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def print_statusline(self, complete, total, level, unconditional=False):
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if unconditional:
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pass
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elif complete < 100:
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if not complete % 25 == 0:
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return
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elif complete < 1000:
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if not complete % 100 == 0:
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return
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else:
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if not complete % 1000 == 0:
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return
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logging.info("{0}/{1} tiles complete on level {2}/{3}".format(
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complete, total, level, self.max_p))
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def go(self, procs):
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"""Renders all tiles"""
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logging.debug("Parent process {0}".format(os.getpid()))
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# Create a pool
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if procs == 1:
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pool = FakePool()
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global child_rendernode
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child_rendernode = self
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else:
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pool = multiprocessing.Pool(processes=procs,initializer=pool_initializer,initargs=(self,))
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#warm up the pool so it reports all the worker id's
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pool.map(bool,xrange(multiprocessing.cpu_count()),1)
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quadtrees = self.quadtrees
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# do per-quadtree init.
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max_p = 0
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total = 0
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for q in quadtrees:
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total += 4**q.p
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if q.p > max_p:
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max_p = q.p
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q.go(procs)
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self.max_p = max_p
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# Render the highest level of tiles from the chunks
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results = collections.deque()
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complete = 0
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logging.info("Rendering highest zoom level of tiles now.")
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logging.info("Rendering {0} layer{1}".format(len(quadtrees),'s' if len(quadtrees) > 1 else '' ))
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logging.info("There are {0} tiles to render".format(total))
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logging.info("There are {0} total levels to render".format(self.max_p))
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logging.info("Don't worry, each level has only 25% as many tiles as the last.")
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logging.info("The others will go faster")
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count = 0
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batch_size = 4*len(quadtrees)
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while batch_size < 10:
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batch_size *= 2
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timestamp = time.time()
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for result in self._apply_render_worldtiles(pool,batch_size):
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results.append(result)
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# every second drain some of the queue
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timestamp2 = time.time()
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if timestamp2 >= timestamp + 1:
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timestamp = timestamp2
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count_to_remove = (1000//batch_size)
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if count_to_remove < len(results):
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while count_to_remove > 0:
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count_to_remove -= 1
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complete += results.popleft().get()
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self.print_statusline(complete, total, 1)
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if len(results) > (10000//batch_size):
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# Empty the queue before adding any more, so that memory
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# required has an upper bound
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while len(results) > (500//batch_size):
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complete += results.popleft().get()
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self.print_statusline(complete, total, 1)
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# Wait for the rest of the results
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while len(results) > 0:
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complete += results.popleft().get()
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self.print_statusline(complete, total, 1)
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self.print_statusline(complete, total, 1, True)
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# Now do the other layers
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for zoom in xrange(self.max_p-1, 0, -1):
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level = self.max_p - zoom + 1
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assert len(results) == 0
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complete = 0
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total = 0
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for q in quadtrees:
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if zoom <= q.p:
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total += 4**zoom
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logging.info("Starting level {0}".format(level))
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timestamp = time.time()
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for result in self._apply_render_inntertile(pool, zoom,batch_size):
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results.append(result)
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# every second drain some of the queue
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timestamp2 = time.time()
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if timestamp2 >= timestamp + 1:
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timestamp = timestamp2
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count_to_remove = (1000//batch_size)
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if count_to_remove < len(results):
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while count_to_remove > 0:
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count_to_remove -= 1
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complete += results.popleft().get()
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self.print_statusline(complete, total, 1)
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if len(results) > (10000/batch_size):
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while len(results) > (500/batch_size):
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complete += results.popleft().get()
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self.print_statusline(complete, total, level)
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# Empty the queue
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while len(results) > 0:
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complete += results.popleft().get()
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self.print_statusline(complete, total, level)
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self.print_statusline(complete, total, level, True)
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logging.info("Done")
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pool.close()
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pool.join()
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# Do the final one right here:
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for q in quadtrees:
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q.render_innertile(os.path.join(q.destdir, q.tiledir), "base")
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def _get_chunks_in_range(self, colstart, colend, rowstart, rowend):
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"""Get chunks that are relevant to the tile rendering function that's
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rendering that range"""
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chunklist = []
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unconvert_coords = self.world.unconvert_coords
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#get_region_path = self.world.get_region_path
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get_region = self.world.regionfiles.get
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for row in xrange(rowstart-16, rowend+1):
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for col in xrange(colstart, colend+1):
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# due to how chunks are arranged, we can only allow
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# even row, even column or odd row, odd column
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# otherwise, you end up with duplicates!
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if row % 2 != col % 2:
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continue
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# return (col, row, chunkx, chunky, regionpath)
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chunkx, chunky = unconvert_coords(col, row)
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#c = get_region_path(chunkx, chunky)
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_, _, c, mcr = get_region((chunkx//32, chunky//32),(None,None,None,None));
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if c is not None and mcr.chunkExists(chunkx,chunky):
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chunklist.append((col, row, chunkx, chunky, c))
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return chunklist
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def _apply_render_worldtiles(self, pool,batch_size):
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"""Returns an iterator over result objects. Each time a new result is
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requested, a new task is added to the pool and a result returned.
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"""
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if batch_size < len(self.quadtrees):
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batch_size = len(self.quadtrees)
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batch = []
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jobcount = 0
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# roundrobin add tiles to a batch job (thus they should all roughly work on similar chunks)
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iterables = [q.get_worldtiles() for q in self.quadtrees]
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for job in roundrobin(iterables):
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# fixup so the worker knows which quadtree this is
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job[0] = job[0]._render_index
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# Put this in the batch to be submited to the pool
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batch.append(job)
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jobcount += 1
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if jobcount >= batch_size:
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jobcount = 0
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yield pool.apply_async(func=render_worldtile_batch, args= [batch])
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batch = []
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if jobcount > 0:
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yield pool.apply_async(func=render_worldtile_batch, args= [batch])
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def _apply_render_inntertile(self, pool, zoom,batch_size):
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"""Same as _apply_render_worltiles but for the inntertile routine.
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Returns an iterator that yields result objects from tasks that have
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been applied to the pool.
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"""
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if batch_size < len(self.quadtrees):
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batch_size = len(self.quadtrees)
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batch = []
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jobcount = 0
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# roundrobin add tiles to a batch job (thus they should all roughly work on similar chunks)
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iterables = [q.get_innertiles(zoom) for q in self.quadtrees if zoom <= q.p]
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for job in roundrobin(iterables):
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# fixup so the worker knows which quadtree this is
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job[0] = job[0]._render_index
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# Put this in the batch to be submited to the pool
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batch.append(job)
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jobcount += 1
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if jobcount >= batch_size:
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jobcount = 0
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yield pool.apply_async(func=render_innertile_batch, args= [batch])
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batch = []
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if jobcount > 0:
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yield pool.apply_async(func=render_innertile_batch, args= [batch])
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@catch_keyboardinterrupt
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def render_worldtile_batch(batch):
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global child_rendernode
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rendernode = child_rendernode
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count = 0
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_get_chunks_in_range = rendernode._get_chunks_in_range
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#logging.debug("{0} working on batch of size {1}".format(os.getpid(),len(batch)))
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for job in batch:
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count += 1
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quadtree = rendernode.quadtrees[job[0]]
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colstart = job[1]
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colend = job[2]
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rowstart = job[3]
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rowend = job[4]
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path = job[5]
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path = quadtree.full_tiledir+os.sep+path
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# (even if tilechunks is empty, render_worldtile will delete
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# existing images if appropriate)
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# And uses these chunks
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tilechunks = _get_chunks_in_range(colstart, colend, rowstart,rowend)
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#logging.debug(" tilechunks: %r", tilechunks)
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quadtree.render_worldtile(tilechunks,colstart, colend, rowstart, rowend, path)
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return count
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@catch_keyboardinterrupt
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def render_innertile_batch(batch):
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global child_rendernode
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rendernode = child_rendernode
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count = 0
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#logging.debug("{0} working on batch of size {1}".format(os.getpid(),len(batch)))
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for job in batch:
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count += 1
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quadtree = rendernode.quadtrees[job[0]]
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dest = quadtree.full_tiledir+os.sep+job[1]
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quadtree.render_innertile(dest=dest,name=job[2])
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return count
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class FakeResult(object):
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def __init__(self, res):
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self.res = res
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def get(self):
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return self.res
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class FakePool(object):
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"""A fake pool used to render things in sync. Implements a subset of
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multiprocessing.Pool"""
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def apply_async(self, func, args=(), kwargs=None):
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if not kwargs:
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kwargs = {}
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result = func(*args, **kwargs)
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return FakeResult(result)
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def close(self):
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pass
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def join(self):
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pass
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