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zoom.py
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zoom.py
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import json
import math
import multiprocessing as mp
from argparse import Namespace
import os
from pathlib import Path
from shutil import get_terminal_size as tsize
from sys import platform as _platform
import numpy
import psutil
from PIL import Image
from turbojpeg import TurboJPEG
maxQuality = False # Set this to true if you want to compress/postprocess the images yourself later
useBetterEncoder = True # Slower encoder that generates smaller images.
quality = 80
EXT = ".png"
OUTEXT = ".jpg" # format='JPEG' is hardcoded in places, meed to modify those, too. Most parameters are not supported outside jpeg.
THUMBNAILEXT = ".png"
BACKGROUNDCOLOR = (27, 45, 51)
THUMBNAILSCALE = 2
MINRENDERBOXSIZE = 8
def printErase(arg):
try:
tsiz = tsize()[0]
print("\r{}{}\n".format(arg, " " * (tsiz*math.ceil(len(arg)/tsiz)-len(arg) - 1)), end="", flush=True)
except:
#raise
pass
# note that these are all 64 bit libraries since factorio doesnt support 32 bit.
if os.name == "nt":
jpeg = TurboJPEG(Path(__file__, "..", "mozjpeg/turbojpeg.dll").resolve().as_posix())
# elif _platform == "darwin": # I'm not actually sure if mac can run linux libraries or not.
# jpeg = TurboJPEG("mozjpeg/libturbojpeg.dylib") # If anyone on mac has problems with the line below please make an issue :)
else:
jpeg = TurboJPEG(Path(__file__, "..", "mozjpeg/libturbojpeg.so").resolve().as_posix())
def saveCompress(img, path: Path):
if maxQuality: # do not waste any time compressing the image
return img.save(path, subsampling=0, quality=100)
outFile = path.open("wb")
outFile.write(jpeg.encode(numpy.array(img)[:, :, ::-1].copy()))
outFile.close()
def simpleZoom(workQueue):
for (folder, start, stop, filename) in workQueue:
path = Path(folder, str(start), filename)
img = Image.open(path.with_suffix(EXT), mode="r").convert("RGB")
if OUTEXT != EXT:
saveCompress(img, path.with_suffix(OUTEXT))
path.with_suffix(EXT).unlink()
for z in range(start - 1, stop - 1, -1):
if img.size[0] >= MINRENDERBOXSIZE * 2 and img.size[1] >= MINRENDERBOXSIZE * 2:
img = img.resize((img.size[0] // 2, img.size[1] // 2), Image.Resampling.LANCZOS)
zFolder = Path(folder, str(z))
if not zFolder.exists():
zFolder.mkdir(parents=True)
saveCompress(img, Path(zFolder, filename).with_suffix(OUTEXT))
def zoomRenderboxes(daytimeSurfaces, toppath, timestamp, subpath, args):
with Path(toppath, "mapInfo.json").open("r+", encoding="utf-8") as mapInfoFile:
mapInfo = json.load(mapInfoFile)
outFile = Path(toppath, "mapInfo.out.json")
if outFile.exists():
with outFile.open("r", encoding="utf-8") as mapInfoOutFile:
outInfo = json.load(mapInfoOutFile)
else:
outInfo = {"maps": {}}
mapLayer = None
mapIndex = None
for i, m in enumerate(mapInfo["maps"]):
if m["path"] == timestamp:
mapLayer = m
mapIndex = str(i)
if not mapLayer or not mapIndex:
raise Exception("mapLayer or mapIndex missing")
if mapIndex not in outInfo["maps"]:
outInfo["maps"][mapIndex] = {"surfaces": {}}
zoomWork = set()
for daytime, activeSurfaces in daytimeSurfaces.items():
surfaceZoomLevels = {}
for surfaceName in activeSurfaces:
surfaceZoomLevels[surfaceName] = (
mapLayer["surfaces"][surfaceName]["zoom"]["max"]
- mapLayer["surfaces"][surfaceName]["zoom"]["min"]
)
for surfaceName, surface in mapLayer["surfaces"].items():
if "links" in surface:
if surfaceName not in outInfo["maps"][mapIndex]["surfaces"]:
outInfo["maps"][mapIndex]["surfaces"][surfaceName] = {}
if "links" not in outInfo["maps"][mapIndex]["surfaces"][surfaceName]:
outInfo["maps"][mapIndex]["surfaces"][surfaceName]["links"] = []
for linkIndex, link in enumerate(surface["links"]):
if link["type"] == "link_renderbox_area" and "zoom" in link:
totalZoomLevelsRequired = 0
for zoomSurface, zoomLevel in link["maxZoomFromSurfaces"].items():
if zoomSurface in surfaceZoomLevels:
totalZoomLevelsRequired = max(
totalZoomLevelsRequired,
zoomLevel + surfaceZoomLevels[zoomSurface],
)
if not outInfo["maps"][mapIndex]["surfaces"][surfaceName]["links"][linkIndex]:
outInfo["maps"][mapIndex]["surfaces"][surfaceName]["links"][linkIndex] = {}
if "zoom" not in outInfo["maps"][mapIndex]["surfaces"][surfaceName]["links"][linkIndex]:
outInfo["maps"][mapIndex]["surfaces"][surfaceName]["links"][linkIndex]["zoom"] = {}
link["zoom"]["min"] = link["zoom"]["max"] - totalZoomLevelsRequired
outInfo["maps"][mapIndex]["surfaces"][surfaceName]["links"][linkIndex]["zoom"]["min"] = link["zoom"]["min"]
# an assumption is made that the total zoom levels required doesnt change between snapshots.
if (link if "path" in link else outInfo["maps"][mapIndex]["surfaces"][surfaceName]["links"][linkIndex])["path"] == timestamp:
zoomWork.add(
(
Path(
subpath,
mapLayer["path"],
link["toSurface"],
daytime if link["daynight"] else "day",
"renderboxes",
).resolve(),
link["zoom"]["max"],
link["zoom"]["min"],
link["filename"],
)
)
with outFile.open("w", encoding="utf-8") as mapInfoOutFile:
json.dump(outInfo, mapInfoOutFile)
mapInfoOutFile.truncate()
maxthreads = args.zoomthreads if args.zoomthreads else args.maxthreads
processes = []
zoomWork = list(zoomWork)
for i in range(0, min(maxthreads, len(zoomWork))):
p = mp.Process(target=simpleZoom, args=(zoomWork[i::maxthreads],))
p.start()
processes.append(p)
for p in processes:
p.join()
def work(basepath, pathList, surfaceName, daytime, size, start, stop, last, chunk, keepLast=False):
chunksize = 2 ** (start - stop)
if start > stop:
for k in range(start, stop, -1):
x = chunksize * chunk[0]
y = chunksize * chunk[1]
for j in range(y, y + chunksize, 2):
for i in range(x, x + chunksize, 2):
coords = [(0, 0), (1, 0), (0, 1), (1, 1)]
paths = [
Path(
basepath,
pathList[0],
surfaceName,
daytime,
str(k),
str(i + coord[0]),
str(j + coord[1]),
).with_suffix(EXT)
for coord in coords
]
if any(path.exists() for path in paths):
if not Path(basepath, pathList[0], surfaceName, daytime, str(k - 1), str(i // 2)).exists():
try:
Path(basepath, pathList[0], surfaceName, daytime, str(k - 1), str(i // 2)).mkdir(parents=True)
except OSError:
pass
isOriginal = []
for m in range(len(coords)):
isOriginal.append(paths[m].is_file())
if not isOriginal[m]:
for n in range(1, len(pathList)):
paths[m] = Path(basepath, pathList[n], surfaceName, daytime, str(k), str(i + coords[m][0]), str(j + coords[m][1])).with_suffix(OUTEXT)
if paths[m].is_file():
break
result = Image.new("RGB", (size, size), BACKGROUNDCOLOR)
images = []
for m in range(len(coords)):
if paths[m].is_file():
img = Image.open(paths[m], mode="r").convert("RGB")
result.paste(
box=(
coords[m][0] * size // 2,
coords[m][1] * size // 2,
),
im=img.resize(
(size // 2, size // 2), Image.Resampling.LANCZOS
),
)
if isOriginal[m]:
images.append((img, paths[m]))
if k == last + 1:
saveCompress(result, Path(basepath, pathList[0], surfaceName, daytime, str(k - 1), str(i // 2), str(j // 2)).with_suffix(OUTEXT))
if OUTEXT != EXT and (k != last + 1 or keepLast):
result.save(Path(basepath, pathList[0], surfaceName, daytime, str(k - 1), str(i // 2), str(j // 2), ).with_suffix(EXT))
if OUTEXT != EXT:
for img, path in images:
saveCompress(img, path.with_suffix(OUTEXT))
path.unlink()
chunksize = chunksize // 2
elif stop == last:
path = Path(basepath, pathList[0], surfaceName, daytime, str(start), str(chunk[0]), str(chunk[1]))
img = Image.open(path.with_suffix(EXT), mode="r").convert("RGB")
saveCompress(img, path.with_suffix(OUTEXT))
path.with_suffix(EXT).unlink()
def thread(basepath, pathList, surfaceName, daytime, size, start, stop, last, allChunks, counter, resultQueue, keepLast=False):
#print(start, stop, chunks)
while True:
with counter.get_lock():
i = counter.value - 1
if i < 0:
return
counter.value = i
chunk = allChunks[i]
work(basepath, pathList, surfaceName, daytime, size, start, stop, last, chunk, keepLast)
resultQueue.put(True)
def zoom(
outFolder: Path,
timestamp: str = None,
surfaceReference: str = None,
daytimeReference: str = None,
basepath: Path = None,
needsThumbnail: bool = True,
args: Namespace = Namespace(),
):
psutil.Process(os.getpid()).nice(psutil.BELOW_NORMAL_PRIORITY_CLASS if os.name == "nt" else 10)
workFolder = basepath if basepath else Path(__file__, "..", "..", "..", "script-output", "FactorioMaps").resolve()
topPath = Path(workFolder, outFolder)
dataPath = Path(topPath, "mapInfo.json")
imagePath = Path(topPath, "Images")
maxthreads = args.zoomthreads if args.zoomthreads else args.maxthreads
with dataPath.open("r", encoding="utf-8") as f:
data = json.load(f)
for mapIndex, map in enumerate(data["maps"]):
if timestamp is None or map["path"] == timestamp:
for surfaceName, surface in map["surfaces"].items():
if surfaceReference is None or surfaceName == surfaceReference:
maxzoom = surface["zoom"]["max"]
minzoom = surface["zoom"]["min"]
daytimes = []
if "day" in surface:
daytimes.append("day")
if "night" in surface:
daytimes.append("night")
for daytime in daytimes:
if daytimeReference is None or daytime == daytimeReference:
if not Path(topPath, "Images", str(map["path"]), surfaceName, daytime, str(maxzoom - 1)).is_dir():
print(f"zoom {0:5.1f}% [{' ' * (tsize()[0]-15)}]", end="")
generateThumbnail = (
needsThumbnail
and mapIndex == len(data["maps"]) - 1
and surfaceName
== (
"nauvis"
if "nauvis" in map["surfaces"]
else sorted(map["surfaces"].keys())[0]
)
and daytime == daytimes[0]
)
allBigChunks = {}
minX = float("inf")
maxX = float("-inf")
minY = float("inf")
maxY = float("-inf")
imageSize: int = None
for xStr in Path(imagePath, str(map["path"]), surfaceName, daytime, str(maxzoom)).iterdir():
x = int(xStr.name)
minX = min(minX, x)
maxX = max(maxX, x)
for yStr in Path(imagePath, str(map["path"]), surfaceName, daytime, str(maxzoom), xStr).iterdir():
if imageSize is None:
imageSize = Image.open(Path(imagePath, str(map["path"]), surfaceName, daytime, str(maxzoom), xStr, yStr), mode="r").size[0]
y = int(yStr.stem)
minY = min(minY, y)
maxY = max(maxY, y)
allBigChunks[
(
x >> maxzoom-minzoom,
y >> maxzoom-minzoom,
)
] = True
if len(allBigChunks) <= 0:
continue
pathList = []
for otherMapIndex in range(mapIndex, -1, -1):
pathList.append(str(data["maps"][otherMapIndex]["path"]))
threadsplit = 0
while 4**threadsplit * len(allBigChunks) < maxthreads:
threadsplit = threadsplit + 1
threadsplit = min(max(maxzoom - minzoom - 3, 0), threadsplit + 3)
allChunks = []
for pos in list(allBigChunks):
for i in range(2**threadsplit):
for j in range(2**threadsplit):
allChunks.append(
(
pos[0] * (2**threadsplit) + i,
pos[1] * (2**threadsplit) + j,
)
)
threads = min(len(allChunks), maxthreads)
processes = []
originalSize = len(allChunks)
# print(("%s %s %s %s" % (pathList[0], str(surfaceName), daytime, pathList)))
# print(("%s-%s (total: %s):" % (start, stop + threadsplit, len(allChunks))))
counter = mp.Value("i", originalSize)
resultQueue = mp.Queue()
for _ in range(0, threads):
p = mp.Process(
target=thread,
args=(
imagePath,
pathList,
surfaceName,
daytime,
imageSize,
maxzoom,
minzoom + threadsplit,
minzoom,
allChunks,
counter,
resultQueue,
generateThumbnail,
),
)
p.start()
processes.append(p)
doneSize = 0
for _ in range(originalSize):
resultQueue.get(True)
doneSize += 1
progress = float(doneSize) / originalSize
tsiz = tsize()[0] - 15
print(
"\rzoom {:5.1f}% [{}{}]".format(
round(progress * 98, 1),
"=" * int(progress * tsiz),
" " * (tsiz - int(progress * tsiz)),
),
end="",
)
for p in processes:
p.join()
if threadsplit > 0:
# print(("finishing up: %s-%s (total: %s)" % (stop + threadsplit, stop, len(allBigChunks))))
processes = []
i = len(allBigChunks) - 1
for chunk in list(allBigChunks):
p = mp.Process(
target=work,
args=(
imagePath,
pathList,
surfaceName,
daytime,
imageSize,
minzoom + threadsplit,
minzoom,
minzoom,
chunk,
generateThumbnail,
),
)
i = i - 1
p.start()
processes.append(p)
for p in processes:
p.join()
if generateThumbnail:
printErase("generating thumbnail")
minzoompath = Path(
imagePath,
str(map["path"]),
surfaceName,
daytime,
str(minzoom),
)
if imageSize is None:
raise Exception("Missing imageSize for thumbnail generation")
thumbnail = Image.new(
"RGB",
(
(maxX - minX + 1) * imageSize >> maxzoom-minzoom,
(maxY - minY + 1) * imageSize >> maxzoom-minzoom,
),
BACKGROUNDCOLOR,
)
bigMinX = minX >> maxzoom-minzoom
bigMinY = minY >> maxzoom-minzoom
xOffset = ((bigMinX * imageSize << maxzoom-minzoom) - minX * imageSize) >> maxzoom-minzoom
yOffset = ((bigMinY * imageSize << maxzoom-minzoom) - minY * imageSize) >> maxzoom-minzoom
for chunk in list(allBigChunks):
path = Path(minzoompath, str(chunk[0]), str(chunk[1])).with_suffix(EXT)
thumbnail.paste(
box=(
xOffset + (chunk[0] - bigMinX) * imageSize,
yOffset + (chunk[1] - bigMinY) * imageSize,
),
im=Image.open(path, mode="r")
.convert("RGB")
.resize((imageSize, imageSize), Image.Resampling.LANCZOS),
)
if OUTEXT != EXT:
path.unlink()
thumbnail.save(Path(imagePath, "thumbnail" + THUMBNAILEXT))
print("\rzoom {:5.1f}% [{}]".format(100, "=" * (tsize()[0] - 15)))