Re-wrote most of the quad-tree tile code and world code.
Doesn't work yet.
This commit is contained in:
714
quadtree.py
Normal file
714
quadtree.py
Normal file
@@ -0,0 +1,714 @@
|
||||
import multiprocessing
|
||||
import itertools
|
||||
import os
|
||||
import os.path
|
||||
import hashlib
|
||||
import functools
|
||||
|
||||
from PIL import Image
|
||||
|
||||
"""
|
||||
This module has routines related to generating a quadtree of tiles
|
||||
|
||||
"""
|
||||
|
||||
def iterate_base4(d):
|
||||
"""Iterates over a base 4 number with d digits"""
|
||||
return itertools.product(xrange(4), repeat=d)
|
||||
|
||||
def catch_keyboardinterrupt(func):
|
||||
"""Decorator that catches a keyboardinterrupt and raises a real exception
|
||||
so that multiprocessing will propagate it properly"""
|
||||
@functools.wraps(func)
|
||||
def newfunc(*args, **kwargs):
|
||||
try:
|
||||
return func(*args, **kwargs)
|
||||
except KeyboardInterrupt:
|
||||
print "Ctrl-C caught!"
|
||||
raise Exception("Exiting")
|
||||
except:
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
raise
|
||||
return newfunc
|
||||
|
||||
class QuadtreeGen(object):
|
||||
def __init__(self, worldobj, destdir):
|
||||
"""Generates a quadtree from the world given into the
|
||||
given dest directory
|
||||
|
||||
worldobj is a world.WorldRenderer object that has already been processed
|
||||
|
||||
"""
|
||||
# Determine quadtree depth (midpoint is always 0,0)
|
||||
for p in xrange(15):
|
||||
xdiameter = 2*2**p
|
||||
ydiameter = 4*2**p
|
||||
if xdiameter >= worldobj.maxcol and -xdiameter <= worldobj.mincol and \
|
||||
ydiameter >= worldobj.maxrow and -ydiameter <= worldobj.minrow:
|
||||
break
|
||||
else:
|
||||
raise ValueError("Your map is waaaay to big!")
|
||||
|
||||
self.p = p
|
||||
|
||||
# Make new row and column ranges
|
||||
self.mincol = -xdiameter
|
||||
self.maxcol = xdiameter
|
||||
self.minrow = -ydiameter
|
||||
self.maxrow = ydiameter
|
||||
|
||||
self.world = worldobj
|
||||
self.destdir = destdir
|
||||
|
||||
def go(self, procs):
|
||||
"""Renders all tiles"""
|
||||
|
||||
# Create a pool
|
||||
pool = multiprocessing.Pool(processes=procs)
|
||||
|
||||
# Render the highest level of tiles from the chunks
|
||||
print "Computing the tile ranges and starting tile processers for inner-most tiles..."
|
||||
results = []
|
||||
for path in iterate_base4(self.p+1):
|
||||
# Get the range for this tile
|
||||
colstart, rowstart = self._get_range_by_path(path)
|
||||
colend = colstart + 2
|
||||
rowend = rowstart + 4
|
||||
|
||||
# This image is rendered at:
|
||||
dest = os.path.join(self.destdir, *(str(x) for x in path))
|
||||
|
||||
# The directory, create it if not exists
|
||||
dirdest = os.path.dirname(dest)
|
||||
if not os.path.exists(dirdest):
|
||||
os.makedirs(dirdest)
|
||||
|
||||
# And uses these chunks
|
||||
tilechunks = self._get_chunks_in_range(colstart, colend, rowstart,
|
||||
rowend)
|
||||
|
||||
# Put this in the pool
|
||||
# (even if tilechunks is empty, render_worldtile will delete
|
||||
# existing images if appropriate)
|
||||
results.append(
|
||||
pool.apply_async(func=render_worldtile, args=
|
||||
(tilechunks, colstart, colend, rowstart, rowend, dest)
|
||||
)
|
||||
)
|
||||
|
||||
# Wait for all results to finish
|
||||
print "Rendering inner most zoom level tiles now!"
|
||||
for i, result in enumerate(results):
|
||||
# get() instead of wait() so we can see errors
|
||||
result.get()
|
||||
if i > 0 and (i % 100 == 0 or 100 % i == 0):
|
||||
print "{0}/{1} tiles complete on level {2}/{3}".format(
|
||||
i, len(results), 1, self.p+1)
|
||||
|
||||
# Now do the other layers
|
||||
for zoom in xrange(self.p, 0, -1):
|
||||
level = self.p+2-zoom
|
||||
print "Preparing level", level
|
||||
|
||||
results = []
|
||||
for path in iterate_base4(zoom):
|
||||
# This image is rendered at:
|
||||
dest = os.path.join(self.destdir, *(str(x) for x in path[:-1]))
|
||||
name = str(path[-1])
|
||||
|
||||
print "Applying", path, dest, name
|
||||
results.append(
|
||||
pool.apply_async(func=render_innertile, args=
|
||||
(dest, name)
|
||||
)
|
||||
)
|
||||
|
||||
print "Rendering level {0}/{1} now!".format(level, self.p+1)
|
||||
for i, result in enumerate(results):
|
||||
# get() instead of wait() so we can see errors
|
||||
result.get()
|
||||
if i > 0 and (i % 100 == 0 or 100 % i == 0):
|
||||
print "{0}/{1} tiles complete on level {2}/{3}".format(
|
||||
i, len(results), level, self.p+1)
|
||||
|
||||
# Do the final one right here:
|
||||
render_innertile(self.destdir, "base")
|
||||
print "Done!"
|
||||
|
||||
def _get_range_by_path(self, path):
|
||||
"""Returns the x, y chunk coordinates of this tile"""
|
||||
x, y = self.mincol, self.minrow
|
||||
|
||||
xsize = self.maxcol
|
||||
ysize = self.maxrow
|
||||
|
||||
for p in path:
|
||||
if p in (1, 3):
|
||||
x += xsize
|
||||
if p in (2, 3):
|
||||
y += ysize
|
||||
xsize //= 2
|
||||
ysize //= 2
|
||||
|
||||
return x, y
|
||||
|
||||
def _get_chunks_in_range(self, colstart, colend, rowstart, rowend):
|
||||
"""Get chunks that are relevant to the tile rendering function that's
|
||||
rendering that range"""
|
||||
chunklist = []
|
||||
for row in xrange(rowstart-16, rowend+1):
|
||||
for col in xrange(colstart, colend+1):
|
||||
c = self.world.chunkmap.get((col, row), None)
|
||||
if c:
|
||||
chunklist.append((col, row, c))
|
||||
return chunklist
|
||||
|
||||
@catch_keyboardinterrupt
|
||||
def render_innertile(dest, name):
|
||||
"""
|
||||
Renders a tile at os.path.join(dest, name)+".png" by taking tiles from
|
||||
os.path.join(dest, name, "{0,1,2,3}.png")
|
||||
"""
|
||||
imgpath = os.path.join(dest, name) + ".png"
|
||||
hashpath = os.path.join(dest, name) + ".hash"
|
||||
|
||||
if name == "base":
|
||||
q0path = os.path.join(dest, "0.png")
|
||||
q1path = os.path.join(dest, "1.png")
|
||||
q2path = os.path.join(dest, "2.png")
|
||||
q3path = os.path.join(dest, "3.png")
|
||||
q0hash = os.path.join(dest, "0.hash")
|
||||
q1hash = os.path.join(dest, "1.hash")
|
||||
q2hash = os.path.join(dest, "2.hash")
|
||||
q3hash = os.path.join(dest, "3.hash")
|
||||
else:
|
||||
q0path = os.path.join(dest, name, "0.png")
|
||||
q1path = os.path.join(dest, name, "1.png")
|
||||
q2path = os.path.join(dest, name, "2.png")
|
||||
q3path = os.path.join(dest, name, "3.png")
|
||||
q0hash = os.path.join(dest, name, "0.hash")
|
||||
q1hash = os.path.join(dest, name, "1.hash")
|
||||
q2hash = os.path.join(dest, name, "2.hash")
|
||||
q3hash = os.path.join(dest, name, "3.hash")
|
||||
|
||||
# Check which ones exist
|
||||
if not os.path.exists(q0hash):
|
||||
q0path = None
|
||||
q0hash = None
|
||||
if not os.path.exists(q1hash):
|
||||
q1path = None
|
||||
q1hash = None
|
||||
if not os.path.exists(q2hash):
|
||||
q2path = None
|
||||
q2hash = None
|
||||
if not os.path.exists(q3hash):
|
||||
q3path = None
|
||||
q3hash = None
|
||||
|
||||
# do they all not exist?
|
||||
if not (q0path or q1path or q2path or q3path):
|
||||
if os.path.exists(imgpath):
|
||||
os.unlink(imgpath)
|
||||
if os.path.exists(hashpath):
|
||||
os.unlink(hashpath)
|
||||
print "Not generating due to non-existance of subtiles"
|
||||
print "\t", dest, name
|
||||
return
|
||||
|
||||
# Now check the hashes
|
||||
hasher = hashlib.md5()
|
||||
if q0hash:
|
||||
hasher.update(open(q0hash, "rb").read())
|
||||
if q1hash:
|
||||
hasher.update(open(q1hash, "rb").read())
|
||||
if q2hash:
|
||||
hasher.update(open(q2hash, "rb").read())
|
||||
if q3hash:
|
||||
hasher.update(open(q3hash, "rb").read())
|
||||
if os.path.exists(hashpath):
|
||||
oldhash = open(hashpath, "rb").read()
|
||||
else:
|
||||
oldhash = None
|
||||
newhash = hasher.digest()
|
||||
|
||||
if newhash == oldhash:
|
||||
# Nothing to do
|
||||
print "Not generating due to hash match"
|
||||
print "\t", dest, name
|
||||
return
|
||||
|
||||
# Create the actual image now
|
||||
img = Image.new("RGBA", (384, 384))
|
||||
|
||||
if q0path:
|
||||
quad0 = Image.open(q0path).resize((192,192), Image.ANTIALIAS)
|
||||
img.paste(quad0, (0,0))
|
||||
if q1path:
|
||||
quad1 = Image.open(q1path).resize((192,192), Image.ANTIALIAS)
|
||||
img.paste(quad1, (192,0))
|
||||
if q2path:
|
||||
quad2 = Image.open(q2path).resize((192,192), Image.ANTIALIAS)
|
||||
img.paste(quad2, (0, 192))
|
||||
if q3path:
|
||||
quad3 = Image.open(q3path).resize((192,192), Image.ANTIALIAS)
|
||||
img.paste(quad3, (192, 192))
|
||||
|
||||
# Save it
|
||||
print "Saving", imgpath
|
||||
img.save(imgpath)
|
||||
with open(hashpath, "wb") as hashout:
|
||||
hashout.write(newhash)
|
||||
|
||||
|
||||
@catch_keyboardinterrupt
|
||||
def render_worldtile(chunks, colstart, colend, rowstart, rowend, path):
|
||||
"""Renders just the specified chunks into a tile and save it. Unlike usual
|
||||
python conventions, rowend and colend are inclusive. Additionally, the
|
||||
chunks around the edges are half-way cut off (so that neighboring tiles
|
||||
will render the other half)
|
||||
|
||||
chunks is a list of (col, row, filename) of chunk images that are relevant
|
||||
to this call
|
||||
|
||||
The image is saved to path+".png" and a hash is saved to path+".hash"
|
||||
|
||||
If there are no chunks, this tile is not saved (if it already exists, it is
|
||||
deleted)
|
||||
|
||||
If the hash file already exists, it is checked against the hash of each chunk.
|
||||
|
||||
Standard tile size has colend-colstart=2 and rowend-rowstart=4
|
||||
|
||||
There is no return value
|
||||
"""
|
||||
# width of one chunk is 384. Each column is half a chunk wide. The total
|
||||
# width is (384 + 192*(numcols-1)) since the first column contributes full
|
||||
# width, and each additional one contributes half since they're staggered.
|
||||
# However, since we want to cut off half a chunk at each end (384 less
|
||||
# pixels) and since (colend - colstart + 1) is the number of columns
|
||||
# inclusive, the equation simplifies to:
|
||||
width = 192 * (colend - colstart)
|
||||
# Same deal with height
|
||||
height = 96 * (rowend - rowstart)
|
||||
|
||||
# The standard tile size is 3 columns by 5 rows, which works out to 384x384
|
||||
# pixels for 8 total chunks. (Since the chunks are staggered but the grid
|
||||
# is not, some grid coordinates do not address chunks) The two chunks on
|
||||
# the middle column are shown in full, the two chunks in the middle row are
|
||||
# half cut off, and the four remaining chunks are one quarter shown.
|
||||
# The above example with cols 0-3 and rows 0-4 has the chunks arranged like this:
|
||||
# 0,0 2,0
|
||||
# 1,1
|
||||
# 0,2 2,2
|
||||
# 1,3
|
||||
# 0,4 2,4
|
||||
|
||||
# Due to how the tiles fit together, we may need to render chunks way above
|
||||
# this (since very few chunks actually touch the top of the sky, some tiles
|
||||
# way above this one are possibly visible in this tile). Render them
|
||||
# anyways just in case). "chunks" should include up to rowstart-16
|
||||
|
||||
# Before we render any tiles, check the hash of each image in this tile to
|
||||
# see if it's changed.
|
||||
hashpath = path + ".hash"
|
||||
imgpath = path + ".png"
|
||||
|
||||
if not chunks:
|
||||
# No chunks were found in this tile
|
||||
if os.path.exists(imgpath):
|
||||
os.unlink(imgpath)
|
||||
if os.path.exists(hashpath):
|
||||
os.unlink(hashpath)
|
||||
return None
|
||||
|
||||
imghash = hashlib.md5()
|
||||
for col, row, chunkfile in chunks:
|
||||
# Get the hash of this image and add it to our hash for this tile
|
||||
imghash.update(
|
||||
os.path.basename(chunkfile).split(".")[4]
|
||||
)
|
||||
digest = imghash.digest()
|
||||
|
||||
if os.path.exists(hashpath):
|
||||
oldhash = open(hashpath, 'rb').read()
|
||||
else:
|
||||
oldhash = None
|
||||
|
||||
if digest == oldhash:
|
||||
# All the chunks for this tile have not changed according to the hash
|
||||
return
|
||||
|
||||
# Compile this image
|
||||
tileimg = Image.new("RGBA", (width, height))
|
||||
|
||||
# col colstart will get drawn on the image starting at x coordinates -(384/2)
|
||||
# row rowstart will get drawn on the image starting at y coordinates -(192/2)
|
||||
for col, row, chunkfile in chunks:
|
||||
try:
|
||||
chunkimg = Image.open(chunkfile)
|
||||
except IOError, e:
|
||||
print "Error opening file", chunkfile
|
||||
print "Attempting to re-generate it"
|
||||
os.unlink(chunkfile)
|
||||
# Do some string manipulation to determine what the chunk file is
|
||||
# that goes with this image. Then call chunk.render_and_save
|
||||
dirname, imagename = os.path.split(chunkfile)
|
||||
parts = imagename.split(".")
|
||||
datafile = "c.{0}.{1}.dat".format(parts[1],parts[2])
|
||||
print "Chunk came from data file", datafile
|
||||
# XXX Don't forget to set cave mode here when it gets implemented!
|
||||
chunk.render_and_save(os.path.join(dirname, datafile), False)
|
||||
chunkimg = Image.open(chunkfile)
|
||||
print "Success"
|
||||
|
||||
xpos = -192 + (col-colstart)*192
|
||||
ypos = -96 + (row-rowstart)*96
|
||||
|
||||
tileimg.paste(chunkimg.convert("RGB"), (xpos, ypos), chunkimg)
|
||||
|
||||
# Save them
|
||||
tileimg.save(imgpath)
|
||||
with open(hashpath, "wb") as hashout:
|
||||
hashout.write(digest)
|
||||
|
||||
def get_quadtree_depth(colstart, colend, rowstart, rowend):
|
||||
"""Determines the zoom depth of a requested quadtree.
|
||||
|
||||
Return value is an integer >= 0. Higher integers mean higher resolution
|
||||
maps. This is one less than the maximum zoom (level 0 is a single tile,
|
||||
level 1 is 2 tiles wide by 2 tiles high, etc.)
|
||||
|
||||
"""
|
||||
# This determines how many zoom levels we need to encompass the entire map.
|
||||
# We need to make sure that each recursive call splits both dimensions
|
||||
# evenly into a power of 2 tiles wide and high, so this function determines
|
||||
# how many splits to make, and generate_quadtree() uses this to adjust the
|
||||
# row and column limits so that everything splits just right.
|
||||
#
|
||||
# This comment makes more sense if you consider it inlined in its call from
|
||||
# generate_quadtree()
|
||||
# Since a single tile has 3 columns of chunks and 5 rows of chunks, this
|
||||
# split needs to be sized into the void so that it is some number of rows
|
||||
# in the form 2*2^p. And columns must be in the form 4*2^p
|
||||
# They need to be the same power
|
||||
# In other words, I need to find the smallest power p such that
|
||||
# colmid + 2*2^p >= colend and rowmid + 4*2^p >= rowend
|
||||
# I hope that makes some sense. I don't know how to explain this very well,
|
||||
# it was some trial and error.
|
||||
colmid = (colstart + colend) // 2
|
||||
rowmid = (rowstart + rowend) // 2
|
||||
for p in xrange(15): # That should be a high enough upper limit
|
||||
if colmid + 2*2**p >= colend and rowmid + 4*2**p >= rowend:
|
||||
break
|
||||
else:
|
||||
raise Exception("Your map is waaaay to big")
|
||||
|
||||
return p
|
||||
|
||||
def generate_quadtree(chunkmap, colstart, colend, rowstart, rowend, prefix, procs):
|
||||
"""Base call for quadtree_recurse. This sets up the recursion and generates
|
||||
a quadtree given a chunkmap and the ranges.
|
||||
|
||||
"""
|
||||
p = get_quadtree_depth(colstart, colend, rowstart, rowend);
|
||||
colmid = (colstart + colend) // 2
|
||||
rowmid = (rowstart + rowend) // 2
|
||||
|
||||
# Modify the lower and upper bounds to be sized correctly. See comments in
|
||||
# get_quadtree_depth()
|
||||
colstart = colmid - 2*2**p
|
||||
colend = colmid + 2*2**p
|
||||
rowstart = rowmid - 4*2**p
|
||||
rowend = rowmid + 4*2**p
|
||||
|
||||
#print " power is", p
|
||||
#print " new bounds: {0},{1} {2},{3}".format(colstart, colend, rowstart, rowend)
|
||||
|
||||
# procs is -1 here since the main process always runs as well, only spawn
|
||||
# procs-1 /new/ processes
|
||||
sem = multiprocessing.BoundedSemaphore(procs-1)
|
||||
quadtree_recurse(chunkmap, colstart, colend, rowstart, rowend, prefix, "base", sem)
|
||||
|
||||
def quadtree_recurse(chunkmap, colstart, colend, rowstart, rowend, prefix, quadrant, sem):
|
||||
"""Recursive method that generates a quadtree.
|
||||
A single call generates, saves, and returns an image with the range
|
||||
specified by colstart,colend,rowstart, and rowend.
|
||||
|
||||
The image is saved as os.path.join(prefix, quadrant+".png")
|
||||
|
||||
If the requested range is larger than a certain threshold, this method will
|
||||
instead make 4 calls to itself to render the 4 quadrants of the image. The
|
||||
four pieces are then resized and pasted into one image that is saved and
|
||||
returned.
|
||||
|
||||
If the requested range is not too large, it is generated with
|
||||
render_worldtile()
|
||||
|
||||
The path "prefix" should be a directory where this call should save its
|
||||
image.
|
||||
|
||||
quadrant is used in recursion. If it is "base", the image is saved in the
|
||||
directory named by prefix, and recursive calls will have quadrant set to
|
||||
"0" "1" "2" or "3" and prefix will remain unchanged.
|
||||
|
||||
If quadrant is anything else, the tile will be saved just the same, but for
|
||||
recursive calls a directory named quadrant will be created (if it doesn't
|
||||
exist) and prefix will be set to os.path.join(prefix, quadrant)
|
||||
|
||||
So the first call will have prefix "tiles" (e.g.) and quadrant "base" and
|
||||
will save its image as "tiles/base.png"
|
||||
The second call will have prefix "tiles" and quadrant "0" and will save its
|
||||
image as "tiles/0.png". It will create the directory "tiles/0/"
|
||||
The third call will have prefix "tiles/0", quadrant "0" and will save its image as
|
||||
"tile/0/0.png"
|
||||
|
||||
Each tile outputted is always 384 by 384 pixels.
|
||||
|
||||
The last parameter, sem, should be a multiprocessing.Semaphore or
|
||||
BoundedSemaphore object. Before each recursive call, the semaphore is
|
||||
acquired without blocking. If the acquire is successful, the recursive call
|
||||
will spawn a new process. If it is not successful, the recursive call is
|
||||
run in the same thread. The semaphore is passed to each recursive call, so
|
||||
any call could spawn new processes if another one exits at some point.
|
||||
|
||||
The return from this function is (path, hash) where path is the path to the
|
||||
file saved, and hash is a byte string that depends on the tile's contents.
|
||||
If the tile is blank, path will be None, but hash will still be valid.
|
||||
|
||||
"""
|
||||
cols = colend - colstart
|
||||
rows = rowend - rowstart
|
||||
|
||||
# Get the tile's existing hash. Maybe it hasn't changed. Whether this
|
||||
# function invocation is destined to recurse, or whether we end up calling
|
||||
# render_worldtile(), the hash will help us short circuit a lot of pixel
|
||||
# copying.
|
||||
hashpath = os.path.join(prefix, quadrant+".hash")
|
||||
if os.path.exists(hashpath):
|
||||
oldhash = open(hashpath, "rb").read()
|
||||
else:
|
||||
# This method (should) never actually return None for a hash, this is
|
||||
# used so it will always compare unequal.
|
||||
oldhash = None
|
||||
|
||||
if cols == 2 and rows == 4:
|
||||
# base case: just render the image
|
||||
img, newhash = render_worldtile(chunkmap, colstart, colend, rowstart, rowend, oldhash)
|
||||
# There are a few cases to handle here:
|
||||
# 1) img is None: the image doesn't exist (would have been blank, no
|
||||
# chunks exist for that range.
|
||||
# 2) img is True: the image hasn't changed according to the hashes. The
|
||||
# image object is not returned by render_worldtile, but we do need to
|
||||
# return the path to it.
|
||||
# 3) img is a PIL.Image.Image object, a new tile was computed, we need
|
||||
# to save it and its hash (newhash) to disk.
|
||||
|
||||
if not img:
|
||||
# The image returned is blank, there should not be an image here.
|
||||
# If one does exist, from a previous world or something, it is not
|
||||
# deleted, but None is returned to indicate to our caller this tile
|
||||
# is blank.
|
||||
remove_tile(prefix, quadrant)
|
||||
return None, newhash
|
||||
if img is True:
|
||||
# No image was returned because the hashes matched. Return the path
|
||||
# to the image that already exists and is up to date according to
|
||||
# the hash
|
||||
path = os.path.join(prefix, quadrant+".png")
|
||||
if not os.path.exists(path):
|
||||
# Oops, the image doesn't actually exist. User must have
|
||||
# deleted it, or must be some bug?
|
||||
raise Exception("Error, this image should have existed according to the hashes, but didn't")
|
||||
return path, newhash
|
||||
|
||||
# If img was not None or True, it is an image object. The image exists
|
||||
# and the hashes did not match, so it must have changed. Fall through
|
||||
# to the last part of this function which saves the image and its hash.
|
||||
assert isinstance(img, Image.Image)
|
||||
elif cols < 2 or rows < 4:
|
||||
raise Exception("Something went wrong, this tile is too small. (Please send "
|
||||
"me the traceback so I can fix this)")
|
||||
else:
|
||||
# Recursively generate each quadrant for this tile
|
||||
|
||||
# Find the midpoint
|
||||
colmid = (colstart + colend) // 2
|
||||
rowmid = (rowstart + rowend) // 2
|
||||
|
||||
# Assert that the split in the center still leaves everything sized
|
||||
# exactly right by checking divisibility by the final row and
|
||||
# column sizes. This isn't sufficient, but is necessary for
|
||||
# success. (A better check would make sure the dimensions fit the
|
||||
# above equations for the same power of 2)
|
||||
assert (colmid - colstart) % 2 == 0
|
||||
assert (colend - colmid) % 2 == 0
|
||||
assert (rowmid - rowstart) % 4 == 0
|
||||
assert (rowend - rowmid) % 4 == 0
|
||||
|
||||
if quadrant == "base":
|
||||
newprefix = prefix
|
||||
else:
|
||||
# Make the directory for the recursive subcalls
|
||||
newprefix = os.path.join(prefix, quadrant)
|
||||
if not os.path.exists(newprefix):
|
||||
os.mkdir(newprefix)
|
||||
|
||||
# Keep a hash of the concatenation of each returned hash. If it matches
|
||||
# oldhash from above, skip rendering this tile
|
||||
hasher = hashlib.md5()
|
||||
|
||||
# Recurse to generate each quadrant of images
|
||||
if sem.acquire(False):
|
||||
Procobj = ReturnableProcess
|
||||
else:
|
||||
Procobj = FakeProcess
|
||||
|
||||
quad0result = Procobj(sem, target=quadtree_recurse,
|
||||
args=(chunkmap, colstart, colmid, rowstart, rowmid, newprefix, "0", sem)
|
||||
)
|
||||
|
||||
if sem.acquire(False):
|
||||
Procobj = ReturnableProcess
|
||||
else:
|
||||
Procobj = FakeProcess
|
||||
quad1result = Procobj(sem, target=quadtree_recurse,
|
||||
args=(chunkmap, colmid, colend, rowstart, rowmid, newprefix, "1", sem)
|
||||
)
|
||||
|
||||
if sem.acquire(False):
|
||||
Procobj = ReturnableProcess
|
||||
else:
|
||||
Procobj = FakeProcess
|
||||
quad2result = Procobj(sem, target=quadtree_recurse,
|
||||
args=(chunkmap, colstart, colmid, rowmid, rowend, newprefix, "2", sem)
|
||||
)
|
||||
|
||||
# Start the processes. If one is a fakeprocess, it will do the
|
||||
# processing right here instead.
|
||||
quad0result.start()
|
||||
quad1result.start()
|
||||
quad2result.start()
|
||||
|
||||
# 3rd quadrent always runs in this process, no need to spawn a new one
|
||||
# since we're just going to turn around and wait for it.
|
||||
quad3file, hash3 = quadtree_recurse(chunkmap,
|
||||
colmid, colend, rowmid, rowend,
|
||||
newprefix, "3", sem)
|
||||
|
||||
quad0file, hash0 = quad0result.get()
|
||||
quad1file, hash1 = quad1result.get()
|
||||
quad2file, hash2 = quad2result.get()
|
||||
|
||||
# Check the hashes. This is checked even if the tile files returned
|
||||
# None, since that could happen if either the tile was blank or it
|
||||
# hasn't changed. So the hashes returned should tell us whether we need
|
||||
# to update this tile or not.
|
||||
hasher.update(hash0)
|
||||
hasher.update(hash1)
|
||||
hasher.update(hash2)
|
||||
hasher.update(hash3)
|
||||
newhash = hasher.digest()
|
||||
if newhash == oldhash:
|
||||
# Nothing left to do, this tile already exists and hasn't changed.
|
||||
#if dbg: print "hashes match, nothing to do"
|
||||
return os.path.join(prefix, quadrant+".png"), oldhash
|
||||
|
||||
# Check here if this tile is actually blank. If all 4 returned quadrant
|
||||
# filenames are None, this tile should not be rendered. However, we
|
||||
# still need to return a valid hash for it, so that's why this check is
|
||||
# below the hash check.
|
||||
if not (bool(quad0file) or bool(quad1file) or bool(quad2file) or
|
||||
bool(quad3file)):
|
||||
remove_tile(prefix, quadrant)
|
||||
return None, newhash
|
||||
|
||||
img = Image.new("RGBA", (384, 384))
|
||||
|
||||
if quad0file:
|
||||
quad0 = Image.open(quad0file).resize((192,192), Image.ANTIALIAS)
|
||||
img.paste(quad0, (0,0))
|
||||
if quad1file:
|
||||
quad1 = Image.open(quad1file).resize((192,192), Image.ANTIALIAS)
|
||||
img.paste(quad1, (192,0))
|
||||
if quad2file:
|
||||
quad2 = Image.open(quad2file).resize((192,192), Image.ANTIALIAS)
|
||||
img.paste(quad2, (0, 192))
|
||||
if quad3file:
|
||||
quad3 = Image.open(quad3file).resize((192,192), Image.ANTIALIAS)
|
||||
img.paste(quad3, (192, 192))
|
||||
|
||||
# At this point, if the tile hasn't change or is blank, the function should
|
||||
# have returned by now.
|
||||
assert bool(img)
|
||||
|
||||
# Save the image
|
||||
path = os.path.join(prefix, quadrant+".png")
|
||||
img.save(path)
|
||||
|
||||
print "Saving image", path
|
||||
|
||||
# Save the hash
|
||||
with open(os.path.join(prefix, quadrant+".hash"), 'wb') as hashout:
|
||||
hashout.write(newhash)
|
||||
|
||||
# Return the location and hash of this tile
|
||||
return path, newhash
|
||||
|
||||
def remove_tile(prefix, quadrent):
|
||||
"""Called when a tile doesn't exist, this deletes an existing tile if it
|
||||
does
|
||||
"""
|
||||
path = os.path.join(prefix, quadrent)
|
||||
img = path + ".png"
|
||||
hash = path + ".hash"
|
||||
|
||||
if os.path.exists(img):
|
||||
print "removing", img
|
||||
os.unlink(img)
|
||||
if os.path.exists(hash):
|
||||
os.unlink(hash)
|
||||
|
||||
class ReturnableProcess(multiprocessing.Process):
|
||||
"""Like the standard multiprocessing.Process class, but the return value of
|
||||
the target method is available by calling get().
|
||||
|
||||
The given semaphore is released when the target finishes running"""
|
||||
def __init__(self, semaphore, *args, **kwargs):
|
||||
self.__sem = semaphore
|
||||
multiprocessing.Process.__init__(self, *args, **kwargs)
|
||||
|
||||
def run(self):
|
||||
try:
|
||||
results = self._target(*self._args, **self._kwargs)
|
||||
except BaseException, e:
|
||||
self._respipe_in.send(e)
|
||||
else:
|
||||
self._respipe_in.send(results)
|
||||
finally:
|
||||
self.__sem.release()
|
||||
|
||||
def get(self):
|
||||
self.join()
|
||||
ret = self._respipe_out.recv()
|
||||
if isinstance(ret, BaseException):
|
||||
raise ret
|
||||
return ret
|
||||
|
||||
def start(self):
|
||||
self._respipe_out, self._respipe_in = multiprocessing.Pipe()
|
||||
multiprocessing.Process.start(self)
|
||||
|
||||
class FakeProcess(object):
|
||||
"""Identical interface to the above class, but runs in the same thread.
|
||||
Used to make the code simpler in quadtree_recurse
|
||||
|
||||
"""
|
||||
def __init__(self, semaphore, target, args=None, kwargs=None):
|
||||
self._target = target
|
||||
self._args = args if args else ()
|
||||
self._kwargs = kwargs if kwargs else {}
|
||||
def start(self):
|
||||
self.ret = self._target(*self._args, **self._kwargs)
|
||||
def get(self):
|
||||
return self.ret
|
||||
Reference in New Issue
Block a user