#!/usr/bin/env python
#******************************************************************************
#  $Id: gdal2tiles.py 15748 2008-11-17 16:30:54Z klokan $
# 
# Project:  Google Summer of Code 2007, 2008 (http://code.google.com/soc/)
# Support:  BRGM (http://www.brgm.fr)
# Purpose:  Convert a raster into TMS (Tile Map Service) tiles in a directory.
#           - generate Google Earth metadata (KML SuperOverlay)
#           - generate simple HTML viewer based on Google Maps and OpenLayers
#           - support of global tiles (Spherical Mercator) for compatibility
#               with interactive web maps a la Google Maps
# Author:   Klokan Petr Pridal, klokan at klokan dot cz
# Web:      http://www.klokan.cz/projects/gdal2tiles/
# GUI:      http://www.maptiler.org/
#
###############################################################################
# Copyright (c) 2008, Klokan Petr Pridal
# 
#  Permission is hereby granted, free of charge, to any person obtaining a
#  copy of this software and associated documentation files (the "Software"),
#  to deal in the Software without restriction, including without limitation
#  the rights to use, copy, modify, merge, publish, distribute, sublicense,
#  and/or sell copies of the Software, and to permit persons to whom the
#  Software is furnished to do so, subject to the following conditions:
# 
#  The above copyright notice and this permission notice shall be included
#  in all copies or substantial portions of the Software.
# 
#  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
#  OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
#  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
#  THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
#  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
#  FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
#  DEALINGS IN THE SOFTWARE.
#******************************************************************************

from osgeo import gdal
from osgeo import osr

import sys
import os
import math

try:
	from PIL import Image
	import numpy
	import osgeo.gdal_array as gdalarray
except:
	# 'antialias' resampling is not available
	pass

__version__ = "$Id: gdal2tiles.py 15748 2008-11-17 16:30:54Z klokan $"

resampling_list = ('average','near','bilinear','cubic','cubicspline','lanczos','antialias')
tile_formats_list = ('png', 'jpeg', 'hybrid')
profile_list = ('mercator','geodetic','raster','gearth') #,'zoomify')
webviewer_list = ('all','google','openlayers','none')

format_extension = {
	"PNG" : "png",
	"JPEG" : "jpg"
}

format_mime = {
	"PNG" : "image/png",
	"JPEG" : "image/jpeg"
}

# =============================================================================
# =============================================================================
# =============================================================================

__doc__globalmaptiles = """
globalmaptiles.py

Global Map Tiles as defined in Tile Map Service (TMS) Profiles
==============================================================

Functions necessary for generation of global tiles used on the web.
It contains classes implementing coordinate conversions for:

  - GlobalMercator (based on EPSG:900913 = EPSG:3785)
       for Google Maps, Yahoo Maps, Microsoft Maps compatible tiles
  - GlobalGeodetic (based on EPSG:4326)
       for OpenLayers Base Map and Google Earth compatible tiles

More info at:

http://wiki.osgeo.org/wiki/Tile_Map_Service_Specification
http://wiki.osgeo.org/wiki/WMS_Tiling_Client_Recommendation
http://msdn.microsoft.com/en-us/library/bb259689.aspx
http://code.google.com/apis/maps/documentation/overlays.html#Google_Maps_Coordinates

Created by Klokan Petr Pridal on 2008-07-03.
Google Summer of Code 2008, project GDAL2Tiles for OSGEO.

In case you use this class in your product, translate it to another language
or find it usefull for your project please let me know.
My email: klokan at klokan dot cz.
I would like to know where it was used.

Class is available under the open-source GDAL license (www.gdal.org).
"""

import math

MAXZOOMLEVEL = 32

class GlobalMercator(object):
	"""
	TMS Global Mercator Profile
	---------------------------

	Functions necessary for generation of tiles in Spherical Mercator projection,
	EPSG:900913 (EPSG:gOOglE, Google Maps Global Mercator), EPSG:3785, OSGEO:41001.

	Such tiles are compatible with Google Maps, Microsoft Virtual Earth, Yahoo Maps,
	UK Ordnance Survey OpenSpace API, ...
	and you can overlay them on top of base maps of those web mapping applications.
	
	Pixel and tile coordinates are in TMS notation (origin [0,0] in bottom-left).

	What coordinate conversions do we need for TMS Global Mercator tiles::

	     LatLon      <->       Meters      <->     Pixels    <->       Tile     

	 WGS84 coordinates   Spherical Mercator  Pixels in pyramid  Tiles in pyramid
	     lat/lon            XY in metres     XY pixels Z zoom      XYZ from TMS 
	    EPSG:4326           EPSG:900913                                         
	     .----.              ---------               --                TMS      
	    /      \     <->     |       |     <->     /----/    <->      Google    
	    \      /             |       |           /--------/          QuadTree   
	     -----               ---------         /------------/                   
	   KML, public         WebMapService         Web Clients      TileMapService

	What is the coordinate extent of Earth in EPSG:900913?

	  [-20037508.342789244, -20037508.342789244, 20037508.342789244, 20037508.342789244]
	  Constant 20037508.342789244 comes from the circumference of the Earth in meters,
	  which is 40 thousand kilometers, the coordinate origin is in the middle of extent.
      In fact you can calculate the constant as: 2 * math.pi * 6378137 / 2.0
	  $ echo 180 85 | gdaltransform -s_srs EPSG:4326 -t_srs EPSG:900913
	  Polar areas with abs(latitude) bigger then 85.05112878 are clipped off.

	What are zoom level constants (pixels/meter) for pyramid with EPSG:900913?

	  whole region is on top of pyramid (zoom=0) covered by 256x256 pixels tile,
	  every lower zoom level resolution is always divided by two
	  initialResolution = 20037508.342789244 * 2 / 256 = 156543.03392804062

	What is the difference between TMS and Google Maps/QuadTree tile name convention?

	  The tile raster itself is the same (equal extent, projection, pixel size),
	  there is just different identification of the same raster tile.
	  Tiles in TMS are counted from [0,0] in the bottom-left corner, id is XYZ.
	  Google placed the origin [0,0] to the top-left corner, reference is XYZ.
	  Microsoft is referencing tiles by a QuadTree name, defined on the website:
	  http://msdn2.microsoft.com/en-us/library/bb259689.aspx

	The lat/lon coordinates are using WGS84 datum, yeh?

	  Yes, all lat/lon we are mentioning should use WGS84 Geodetic Datum.
	  Well, the web clients like Google Maps are projecting those coordinates by
	  Spherical Mercator, so in fact lat/lon coordinates on sphere are treated as if
	  the were on the WGS84 ellipsoid.
	 
	  From MSDN documentation:
	  To simplify the calculations, we use the spherical form of projection, not
	  the ellipsoidal form. Since the projection is used only for map display,
	  and not for displaying numeric coordinates, we don't need the extra precision
	  of an ellipsoidal projection. The spherical projection causes approximately
	  0.33 percent scale distortion in the Y direction, which is not visually noticable.

	How do I create a raster in EPSG:900913 and convert coordinates with PROJ.4?

	  You can use standard GIS tools like gdalwarp, cs2cs or gdaltransform.
	  All of the tools supports -t_srs 'epsg:900913'.

	  For other GIS programs check the exact definition of the projection:
	  More info at http://spatialreference.org/ref/user/google-projection/
	  The same projection is degined as EPSG:3785. WKT definition is in the official
	  EPSG database.

	  Proj4 Text:
	    +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0
	    +k=1.0 +units=m +nadgrids=@null +no_defs

	  Human readable WKT format of EPGS:900913:
	     PROJCS["Google Maps Global Mercator",
	         GEOGCS["WGS 84",
	             DATUM["WGS_1984",
	                 SPHEROID["WGS 84",6378137,298.2572235630016,
	                     AUTHORITY["EPSG","7030"]],
	                 AUTHORITY["EPSG","6326"]],
	             PRIMEM["Greenwich",0],
	             UNIT["degree",0.0174532925199433],
	             AUTHORITY["EPSG","4326"]],
	         PROJECTION["Mercator_1SP"],
	         PARAMETER["central_meridian",0],
	         PARAMETER["scale_factor",1],
	         PARAMETER["false_easting",0],
	         PARAMETER["false_northing",0],
	         UNIT["metre",1,
	             AUTHORITY["EPSG","9001"]]]
	"""

	def __init__(self, tileSize=256):
		"Initialize the TMS Global Mercator pyramid"
		self.tileSize = tileSize
		self.initialResolution = 2 * math.pi * 6378137 / self.tileSize
		# 156543.03392804062 for tileSize 256 pixels
		self.originShift = 2 * math.pi * 6378137 / 2.0
		# 20037508.342789244

	def LatLonToMeters(self, lat, lon ):
		"Converts given lat/lon in WGS84 Datum to XY in Spherical Mercator EPSG:900913"

		mx = lon * self.originShift / 180.0
		my = math.log( math.tan((90 + lat) * math.pi / 360.0 )) / (math.pi / 180.0)

		my = my * self.originShift / 180.0
		return mx, my

	def MetersToLatLon(self, mx, my ):
		"Converts XY point from Spherical Mercator EPSG:900913 to lat/lon in WGS84 Datum"

		lon = (mx / self.originShift) * 180.0
		lat = (my / self.originShift) * 180.0

		lat = 180 / math.pi * (2 * math.atan( math.exp( lat * math.pi / 180.0)) - math.pi / 2.0)
		return lat, lon

	def PixelsToMeters(self, px, py, zoom):
		"Converts pixel coordinates in given zoom level of pyramid to EPSG:900913"

		res = self.Resolution( zoom )
		mx = px * res - self.originShift
		my = py * res - self.originShift
		return mx, my
		
	def MetersToPixels(self, mx, my, zoom):
		"Converts EPSG:900913 to pyramid pixel coordinates in given zoom level"
				
		res = self.Resolution( zoom )
		px = (mx + self.originShift) / res
		py = (my + self.originShift) / res
		return px, py
	
	def PixelsToTile(self, px, py):
		"Returns a tile covering region in given pixel coordinates"

		tx = int( math.ceil( px / float(self.tileSize) ) - 1 )
		ty = int( math.ceil( py / float(self.tileSize) ) - 1 )
		return tx, ty

	def PixelsToRaster(self, px, py, zoom):
		"Move the origin of pixel coordinates to top-left corner"
		
		mapSize = self.tileSize << zoom
		return px, mapSize - py
		
	def MetersToTile(self, mx, my, zoom):
		"Returns tile for given mercator coordinates"
		
		px, py = self.MetersToPixels( mx, my, zoom)
		return self.PixelsToTile( px, py)

	def TileBounds(self, tx, ty, zoom):
		"Returns bounds of the given tile in EPSG:900913 coordinates"
		
		minx, miny = self.PixelsToMeters( tx*self.tileSize, ty*self.tileSize, zoom )
		maxx, maxy = self.PixelsToMeters( (tx+1)*self.tileSize, (ty+1)*self.tileSize, zoom )
		return ( minx, miny, maxx, maxy )

	def TileLatLonBounds(self, tx, ty, zoom ):
		"Returns bounds of the given tile in latutude/longitude using WGS84 datum"

		bounds = self.TileBounds( tx, ty, zoom)
		minLat, minLon = self.MetersToLatLon(bounds[0], bounds[1])
		maxLat, maxLon = self.MetersToLatLon(bounds[2], bounds[3])
		 
		return ( minLat, minLon, maxLat, maxLon )
		
	def Resolution(self, zoom ):
		"Resolution (meters/pixel) for given zoom level (measured at Equator)"
		
		# return (2 * math.pi * 6378137) / (self.tileSize * 2**zoom)
		return self.initialResolution / (2**zoom)
		
	def ZoomForPixelSize(self, pixelSize ):
		"Maximal scaledown zoom of the pyramid closest to the pixelSize."
		
		for i in range(MAXZOOMLEVEL):
			if pixelSize > self.Resolution(i):
				if i!=0:
					return i-1
				else:
					return 0 # We don't want to scale up
		
	def GoogleTile(self, tx, ty, zoom):
		"Converts TMS tile coordinates to Google Tile coordinates"
		
		# coordinate origin is moved from bottom-left to top-left corner of the extent
		return tx, (2**zoom - 1) - ty

	def QuadTree(self, tx, ty, zoom ):
		"Converts TMS tile coordinates to Microsoft QuadTree"
		
		quadKey = ""
		ty = (2**zoom - 1) - ty
		for i in range(zoom, 0, -1):
			digit = 0
			mask = 1 << (i-1)
			if (tx & mask) != 0:
				digit += 1
			if (ty & mask) != 0:
				digit += 2
			quadKey += str(digit)
			
		return quadKey

#---------------------

class GlobalGeodetic(object):
	"""
	TMS Global Geodetic Profile
	---------------------------

	Functions necessary for generation of global tiles in Plate Carre projection,
	EPSG:4326, "unprojected profile".

	Such tiles are compatible with Google Earth (as any other EPSG:4326 rasters)
	and you can overlay the tiles on top of OpenLayers base map.
	
	Pixel and tile coordinates are in TMS notation (origin [0,0] in bottom-left).

	What coordinate conversions do we need for TMS Global Geodetic tiles?

	  Global Geodetic tiles are using geodetic coordinates (latitude,longitude)
	  directly as planar coordinates XY (it is also called Unprojected or Plate
	  Carre). We need only scaling to pixel pyramid and cutting to tiles.
	  Pyramid has on top level two tiles, so it is not square but rectangle.
	  Area [-180,-90,180,90] is scaled to 512x256 pixels.
	  TMS has coordinate origin (for pixels and tiles) in bottom-left corner.
	  Rasters are in EPSG:4326 and therefore are compatible with Google Earth.

	     LatLon      <->      Pixels      <->     Tiles     

	 WGS84 coordinates   Pixels in pyramid  Tiles in pyramid
	     lat/lon         XY pixels Z zoom      XYZ from TMS 
	    EPSG:4326                                           
	     .----.                ----                         
	    /      \     <->    /--------/    <->      TMS      
	    \      /         /--------------/                   
	     -----        /--------------------/                
	   WMS, KML    Web Clients, Google Earth  TileMapService
	"""

	def __init__(self, tileSize = 256):
		self.tileSize = tileSize

	def LatLonToPixels(self, lat, lon, zoom):
		"Converts lat/lon to pixel coordinates in given zoom of the EPSG:4326 pyramid"

		res = 180.0 / self.tileSize / 2**zoom
		px = (180 + lat) / res
		py = (90 + lon) / res
		return px, py

	def PixelsToTile(self, px, py):
		"Returns coordinates of the tile covering region in pixel coordinates"

		tx = int( math.ceil( px / float(self.tileSize) ) - 1 )
		ty = int( math.ceil( py / float(self.tileSize) ) - 1 )
		return tx, ty
	
	def LatLonToTile(self, lat, lon, zoom):
		"Returns the tile for zoom which covers given lat/lon coordinates"
		
		px, py = self.LatLonToPixels( lat, lon, zoom)
		return self.PixelsToTile(px,py)

	def Resolution(self, zoom ):
		"Resolution (arc/pixel) for given zoom level (measured at Equator)"
		
		return 180.0 / self.tileSize / 2**zoom
		#return 180 / float( 1 << (8+zoom) )
		
	def ZoomForPixelSize(self, pixelSize ):
		"Maximal scaledown zoom of the pyramid closest to the pixelSize."

		for i in range(MAXZOOMLEVEL):
			if pixelSize > self.Resolution(i):
				if i!=0:
					return i-1
				else:
					return 0 # We don't want to scale up

	def TileBounds(self, tx, ty, zoom):
		"Returns bounds of the given tile"
		res = 180.0 / self.tileSize / 2**zoom
		return (
			tx*self.tileSize*res - 180,
			ty*self.tileSize*res - 90,
			(tx+1)*self.tileSize*res - 180,
			(ty+1)*self.tileSize*res - 90
		)
		
	def TileLatLonBounds(self, tx, ty, zoom):
		"Returns bounds of the given tile in the SWNE form"
		b = self.TileBounds(tx, ty, zoom)
		return (b[1],b[0],b[3],b[2])

#---------------------
# TODO: Finish Zoomify implemtentation!!!
class Zoomify(object):
	"""
	Tiles compatible with the Zoomify viewer
	----------------------------------------
	"""

	def __init__(self, width, height, tilesize = 256, tileformat='jpg'):
		"""Initialization of the Zoomify tile tree"""
		
		self.tilesize = tilesize
		self.tileformat = tileformat
		imagesize = (width, height)
		tiles = ( math.ceil( width / tilesize ), math.ceil( height / tilesize ) )

		# Size (in tiles) for each tier of pyramid.
		self.tierSizeInTiles = []
		self.tierSizeInTiles.push( tiles )

		# Image size in pixels for each pyramid tierself
		self.tierImageSize = []
		self.tierImageSize.append( imagesize );

		while (imagesize[0] > tilesize or imageSize[1] > tilesize ):
			imagesize = (math.floor( imagesize[0] / 2 ), math.floor( imagesize[1] / 2) )
			tiles = ( math.ceil( imagesize[0] / tilesize ), math.ceil( imagesize[1] / tilesize ) )
			self.tierSizeInTiles.append( tiles )
			self.tierImageSize.append( imagesize )

		self.tierSizeInTiles.reverse()
		self.tierImageSize.reverse()
	
		# Depth of the Zoomify pyramid, number of tiers (zoom levels)
		self.numberOfTiers = len(self.tierSizeInTiles)
											
		# Number of tiles up to the given tier of pyramid.
		self.tileCountUpToTier = []
		self.tileCountUpToTier[0] = 0
		for i in range(1, self.numberOfTiers+1):
			self.tileCountUpToTier.append(
				self.tierSizeInTiles[i-1][0] * self.tierSizeInTiles[i-1][1] + self.tileCountUpToTier[i-1]
			)		
	
	def tilefilename(self, x, y, z):
		"""Returns filename for tile with given coordinates"""
		
		tileIndex = x + y * self.tierSizeInTiles[z][0] + self.tileCountUpToTier[z]
		return os.path.join("TileGroup%.0f" % math.floor( tileIndex / 256 ),
			"%s-%s-%s.%s" % ( z, x, y, self.tileformat))

# =============================================================================
# =============================================================================
# =============================================================================


class GDAL2Tiles(object):

	# -------------------------------------------------------------------------
	def process(self):
		"""The main processing function, runs all the main steps of processing"""
		
		# Opening and preprocessing of the input file
		self.open_input()

		# Generation of main metadata files and HTML viewers
		self.generate_metadata()
		
		# Generation of the lowest tiles
		self.generate_base_tiles()
		
		# Generation of the overview tiles (higher in the pyramid)
		self.generate_overview_tiles()
		
	# -------------------------------------------------------------------------
	def error(self, msg, details = "" ):
		"""Print an error message and stop the processing"""

		if details:
			self.parser.error(msg + "\n\n" + details)
		else:	
			self.parser.error(msg)
		
	# -------------------------------------------------------------------------
	def progressbar(self, complete = 0.0):
		"""Print progressbar for float value 0..1"""
		
		gdal.TermProgress_nocb(complete)

	# -------------------------------------------------------------------------
	def stop(self):
		"""Stop the rendering immediately"""
		self.stopped = True

	# -------------------------------------------------------------------------
	def __init__(self, arguments ):
		"""Constructor function - initialization"""
		
		self.stopped = False
		self.input = None
		self.output = None

		# Tile format
		self.tilesize = 256

		# Should we read bigger window of the input raster and scale it down?
		# Note: Modified leter by open_input()
		# Not for 'near' resampling
		# Not for Wavelet based drivers (JPEG2000, ECW, MrSID)
		# Not for 'raster' profile
		self.scaledquery = True
		# How big should be query window be for scaling down
		# Later on reset according the chosen resampling algorightm
		self.querysize = 4 * self.tilesize

		# Should we use Read on the input file for generating overview tiles?
		# Note: Modified later by open_input()
		# Otherwise the overview tiles are generated from existing underlying tiles
		self.overviewquery = False
		
		# RUN THE ARGUMENT PARSER:
		
		self.optparse_init()
		self.options, self.args = self.parser.parse_args(args=arguments)
		if not self.args:
			self.error("No input file specified")

		# POSTPROCESSING OF PARSED ARGUMENTS:

		# Workaround for old versions of GDAL
		try:
			if (self.options.verbose and self.options.resampling == 'near') or gdal.TermProgress_nocb:
				pass
		except:
			self.error("This version of GDAL is not supported. Please upgrade to 1.6+.")
			#,"You can try run crippled version of gdal2tiles with parameters: -v -r 'near'")
		
		# Is output directory the last argument?

		# Test output directory, if it doesn't exist
		if os.path.isdir(self.args[-1]) or ( len(self.args) > 1 and not os.path.exists(self.args[-1])):
			self.output = self.args[-1]
			self.args = self.args[:-1]

		# More files on the input not directly supported yet
		
		if (len(self.args) > 1):
			self.error("Processing of several input files is not supported.",
			"""Please first use a tool like gdal_vrtmerge.py or gdal_merge.py on the files:
gdal_vrtmerge.py -o merged.vrt %s""" % " ".join(self.args))
			# TODO: Call functions from gdal_vrtmerge.py directly
			
		self.input = self.args[0]
		
		# Default values for not given options
		
		if not self.output:
			# Directory with input filename without extension in actual directory
			self.output = os.path.splitext(os.path.basename( self.input ))[0]
				
		if not self.options.title:
			self.options.title = os.path.basename( self.input )

		if self.options.url and not self.options.url.endswith('/'):
			self.options.url += '/'
		if self.options.url:
			self.options.url += os.path.basename( self.output ) + '/'

		# Supported options
		
		if self.options.resampling == 'average':
			try:
				if gdal.RegenerateOverview:
					pass
			except:
				self.error("'average' resampling algorithm is not available.", "Please use -r 'near' argument or upgrade to newer version of GDAL.")
		
		elif self.options.resampling == 'antialias':
			try:
				if numpy:
					pass
			except:
				self.error("'antialias' resampling algorithm is not available.", "Install PIL (Python Imaging Library) and numpy.")
		
		elif self.options.resampling == 'near':
			self.querysize = self.tilesize
		elif self.options.resampling == 'bilinear':
			self.querysize = self.tilesize * 2

		# Tile format.
		if self.options.tile_format is None:
			if self.options.profile == 'gearth':
				self.options.tile_format = 'hybrid'
			else:
				self.options.tile_format = 'png'

		# Webviewer default depends on tile format.
		if self.options.webviewer is None:
			if self.options.tile_format == 'hybrid':
				self.options.webviewer = 'none'
			else:
				self.options.webviewer = 'all'
		# We don't support webviewers with hybrid trees yet.
		elif self.options.tile_format == 'hybrid' and self.options.webviewer != 'none':
			print ("WARNING: hybrid tile format is incompatible with webviewers you selected (%s), " +
				   "so they will not be created.") % self.options.webviewer
			self.options.webviewer = "none"

		# User specified zoom levels
		self.tminz = None
		self.tmaxz = None
		if self.options.zoom:
			minmax = self.options.zoom.split('-',1)
			minmax.extend([''])
			min, max = minmax[:2]
			self.tminz = int(min)
			if max:
				self.tmaxz = int(max)
			else:
				self.tmaxz = int(min) 
		
		# KML generation
		self.kml = self.options.kml
		if self.options.kml_depth:
			self.kml_depth = int(self.options.kml_depth)
			assert self.kml_depth > 0
		else:
			if self.options.profile == 'gearth':
				self.kml_depth = 3
			else:
				self.kml_depth = 1

		# Output the results

		if self.options.verbose:
			print "Options:", self.options
			print "Input:", self.input
			print "Output:", self.output
			print "Cache: %s MB" % (gdal.GetCacheMax() / 1024 / 1024)
			print

	# -------------------------------------------------------------------------
	def optparse_init(self):
		"""Prepare the option parser for input (argv)"""
		
		from optparse import OptionParser, OptionGroup
		usage = "Usage: %prog [options] input_file(s) [output]"
		p = OptionParser(usage, version="%prog "+ __version__)
		p.add_option("-p", "--profile", dest='profile', type='choice', choices=profile_list,
						  help="Tile cutting profile (%s) - default 'mercator' (Google Maps compatible)" % ",".join(profile_list))
		p.add_option("-r", "--resampling", dest="resampling", type='choice', choices=resampling_list,
						help="Resampling method (%s) - default 'average'" % ",".join(resampling_list))
		p.add_option("-f", "--tile-format", dest="tile_format", type='choice', choices=tile_formats_list,
						help="Image format of generated tiles (%s) - default 'png'" % ",".join(tile_formats_list))
		p.add_option('-s', '--s_srs', dest="s_srs", metavar="SRS",
						  help="The spatial reference system used for the source input data")
		p.add_option('-z', '--zoom', dest="zoom",
						  help="Zoom levels to render (format:'2-5' or '10').")
		p.add_option('-e', '--resume', dest="resume", action="store_true",
						  help="Resume mode. Generate only missing files.")
		p.add_option('-a', '--srcnodata', dest="srcnodata", metavar="NODATA",
			  			  help="NODATA transparency value to assign to the input data")
		p.add_option("-v", "--verbose",
						  action="store_true", dest="verbose",
						  help="Print status messages to stdout")

		# KML options 
		g = OptionGroup(p, "KML (Google Earth) options", "Options for generated Google Earth SuperOverlay metadata")
		g.add_option("-k", "--force-kml", dest='kml', action="store_true",
						  help="Generate KML for Google Earth - default for 'geodetic' profile and 'raster' in EPSG:4326. For a dataset with different projection use with caution!")
		g.add_option("-n", "--no-kml", dest='kml', action="store_false",
						  help="Avoid automatic generation of KML files for EPSG:4326")
		g.add_option("-u", "--url", dest='url',
						  help="URL address where the generated tiles are going to be published")
		g.add_option('-d', '--kml-depth', dest="kml_depth",
						  help="How many levels to store before linking, default 1.")
		p.add_option_group(g)

		# HTML options
		g = OptionGroup(p, "Web viewer options", "Options for generated HTML viewers a la Google Maps")
		g.add_option("-w", "--webviewer", dest='webviewer', type='choice', choices=webviewer_list,
						  help="Web viewer to generate (%s) - default 'all'" % ",".join(webviewer_list))
		g.add_option("-t", "--title", dest='title',
						  help="Title of the map")
		g.add_option("-c", "--copyright", dest='copyright',
						  help="Copyright for the map")
		g.add_option("-g", "--googlekey", dest='googlekey',
						  help="Google Maps API key from http://code.google.com/apis/maps/signup.html")
		g.add_option("-y", "--yahookey", dest='yahookey',
						  help="Yahoo Application ID from http://developer.yahoo.com/wsregapp/")
		p.add_option_group(g)
		
		# TODO: MapFile + TileIndexes per zoom level for efficient MapServer WMS
		#g = OptionGroup(p, "WMS MapServer metadata", "Options for generated mapfile and tileindexes for MapServer")
		#g.add_option("-i", "--tileindex", dest='wms', action="store_true"
		#				  help="Generate tileindex and mapfile for MapServer (WMS)")
		# p.add_option_group(g)

		p.set_defaults(verbose=False, profile="mercator", kml=False, url='',
		copyright='', resampling='average', resume=False,
		googlekey='INSERT_YOUR_KEY_HERE', yahookey='INSERT_YOUR_YAHOO_APP_ID_HERE')

		self.parser = p
		



	# -------------------------------------------------------------------------
	def open_input(self):
		"""Initialization of the input raster, reprojection if necessary"""
		
		gdal.SetConfigOption("GDAL_PAM_ENABLED", "NO")
		gdal.AllRegister()

		# Open the input file
		if self.input:
			self.in_ds = gdal.Open(self.input, gdal.GA_ReadOnly)
		else:
			raise Exception("No input file was specified")

		if self.options.verbose:
			print "Input file:", "( %sP x %sL - %s bands)" % (self.in_ds.RasterXSize, self.in_ds.RasterYSize, self.in_ds.RasterCount)

		if not self.in_ds:
			# Note: GDAL prints the ERROR message too
			self.error("It is not possible to open the input file '%s'." % self.input )
			
		# Read metadata from the input file
		if self.in_ds.RasterCount == 0:
			self.error( "Input file '%s' has no raster band" % self.input )
			
		if self.in_ds.GetRasterBand(1).GetRasterColorTable():
			# TODO: Process directly paletted dataset by generating VRT in memory
			self.error( "Please convert this file to RGB/RGBA and run gdal2tiles on the result.",
			"""From paletted file you can create RGBA file (temp.vrt) by:
gdal_translate -of vrt -expand rgba %s temp.vrt
then run:
gdal2tiles temp.vrt""" % self.input )

		# Get NODATA value
		# User supplied values overwrite everything else.
		if self.options.srcnodata:
			nds = map( float, self.options.srcnodata.split(','))
			if len(nds) < self.in_ds.RasterCount:
				self.in_nodata = (nds * self.in_ds.RasterCount)[:self.in_ds.RasterCount]
			else:
				self.in_nodata = nds
		else:
			# If the source dataset has NODATA, use it.
			self.in_nodata = []
			for i in range(1, self.in_ds.RasterCount+1):
				if self.in_ds.GetRasterBand(i).GetNoDataValue() != None:
					self.in_nodata.append( self.in_ds.GetRasterBand(i).GetNoDataValue() )

			# If it does not and we are producing JPEG, make NODATA white.
			if len(self.in_nodata) == 0 and self.options.tile_format == "jpeg":
				if self.in_ds.RasterCount in (1,3):
					self.in_nodata = [255] * self.in_ds.RasterCount
				elif self.in_ds.RasterCount == 4:
					self.in_nodata = [255,255,255,0]

		if self.options.verbose:
			print "NODATA: %s" % self.in_nodata

		#
		# Here we should have RGBA input dataset opened in self.in_ds
		#

		if self.options.verbose:
			print "Preprocessed file:", "( %sP x %sL - %s bands)" % (self.in_ds.RasterXSize, self.in_ds.RasterYSize, self.in_ds.RasterCount)

		# Spatial Reference System of the input raster


		self.in_srs = None
		
		if self.options.s_srs:
			self.in_srs = osr.SpatialReference()
			self.in_srs.SetFromUserInput(self.options.s_srs)
			self.in_srs_wkt = self.in_srs.ExportToWkt()
		else:
			self.in_srs_wkt = self.in_ds.GetProjection()
			if not self.in_srs_wkt and self.in_ds.GetGCPCount() != 0:
				self.in_srs_wkt = self.in_ds.GetGCPProjection()
			if self.in_srs_wkt:
				self.in_srs = osr.SpatialReference()
				self.in_srs.ImportFromWkt(self.in_srs_wkt)
			#elif self.options.profile != 'raster':
			#	self.error("There is no spatial reference system info included in the input file.","You should run gdal2tiles with --s_srs EPSG:XXXX or similar.")

		# Spatial Reference System of tiles
		
		self.out_srs = osr.SpatialReference()

		if self.options.profile == 'mercator':
			self.out_srs.ImportFromEPSG(900913)
		elif self.options.profile in ('geodetic', 'gearth'):
			self.out_srs.ImportFromEPSG(4326)
		else:
			self.out_srs = self.in_srs
		
		# Are the reference systems the same? Reproject if necessary.

		self.out_ds = None
		
		if self.options.profile in ('mercator', 'geodetic', 'gearth'):
						
			if (self.in_ds.GetGeoTransform() == (0.0, 1.0, 0.0, 0.0, 0.0, 1.0)) and (self.in_ds.GetGCPCount() == 0):
				self.error("There is no georeference - neither affine transformation (worldfile) nor GCPs. You can generate only 'raster' profile tiles.",
				"Either gdal2tiles with parameter -p 'raster' or use another GIS software for georeference e.g. gdal_transform -gcp / -a_ullr / -a_srs")
				
			if self.in_srs:
				
				if (self.in_srs.ExportToProj4() != self.out_srs.ExportToProj4()) or (self.in_ds.GetGCPCount() != 0):
					
					# Generation of VRT dataset in tile projection, default 'nearest neighbour' warping
					self.out_ds = gdal.AutoCreateWarpedVRT( self.in_ds, self.in_srs_wkt, self.out_srs.ExportToWkt() )
					
					# TODO: HIGH PRIORITY: Correction of AutoCreateWarpedVRT according the max zoomlevel for correct direct warping!!!
					
					if self.options.verbose:
						print "Warping of the raster by AutoCreateWarpedVRT (result saved into 'tiles.vrt')"
						self.out_ds.GetDriver().CreateCopy("tiles.vrt", self.out_ds)
						
					# Note: self.in_srs and self.in_srs_wkt contain still the non-warped reference system!!!

					# Correction of AutoCreateWarpedVRT for NODATA values
					if self.in_nodata != []:
						import tempfile
						tempfilename = tempfile.mktemp('-gdal2tiles.vrt')
						self.out_ds.GetDriver().CreateCopy(tempfilename, self.out_ds)
						# open as a text file
						s = open(tempfilename).read()
						# Add the warping options
						s = s.replace("""<GDALWarpOptions>""","""<GDALWarpOptions>
	  <Option name="INIT_DEST">NO_DATA</Option>
	  <Option name="UNIFIED_SRC_NODATA">YES</Option>""")
						# replace BandMapping tag for NODATA bands....
						for i in range(len(self.in_nodata)):
							s = s.replace("""<BandMapping src="%i" dst="%i"/>""" % ((i+1),(i+1)),"""<BandMapping src="%i" dst="%i">
	      <SrcNoDataReal>%i</SrcNoDataReal>
	      <SrcNoDataImag>0</SrcNoDataImag>
	      <DstNoDataReal>%i</DstNoDataReal>
	      <DstNoDataImag>0</DstNoDataImag>
	    </BandMapping>""" % ((i+1), (i+1), self.in_nodata[i], self.in_nodata[i])) # Or rewrite to white by: , 255 ))
						# save the corrected VRT
						open(tempfilename,"w").write(s)
						# open by GDAL as self.out_ds
						self.out_ds = gdal.Open(tempfilename) #, gdal.GA_ReadOnly)
						# delete the temporary file
						os.unlink(tempfilename)

						# set NODATA_VALUE metadata
						self.out_ds.SetMetadataItem('NODATA_VALUES','%s' % " ".join(str(int(f)) for f in self.in_nodata))
#						'%i %i %i' % (self.in_nodata[0],self.in_nodata[1],self.in_nodata[2]))

						if self.options.verbose:
							print "Modified warping result saved into 'tiles1.vrt'"
							open("tiles1.vrt","w").write(s)

					# -----------------------------------
					# Correction of AutoCreateWarpedVRT for Mono (1 band) and RGB (3 bands) files without NODATA:
					# equivalent of gdalwarp -dstalpha
					if self.in_nodata == [] and self.out_ds.RasterCount in [1,3]:
						import tempfile
						tempfilename = tempfile.mktemp('-gdal2tiles.vrt')
						self.out_ds.GetDriver().CreateCopy(tempfilename, self.out_ds)
						# open as a text file
						s = open(tempfilename).read()
						# Add the warping options
						s = s.replace("""<BlockXSize>""","""<VRTRasterBand dataType="Byte" band="%i" subClass="VRTWarpedRasterBand">
    <ColorInterp>Alpha</ColorInterp>
  </VRTRasterBand>
  <BlockXSize>""" % (self.out_ds.RasterCount + 1))
						s = s.replace("""</GDALWarpOptions>""", """<DstAlphaBand>%i</DstAlphaBand>
  </GDALWarpOptions>""" % (self.out_ds.RasterCount + 1))
						s = s.replace("""</WorkingDataType>""", """</WorkingDataType>
    <Option name="INIT_DEST">0</Option>""")
						# save the corrected VRT
						open(tempfilename,"w").write(s)
						# open by GDAL as self.out_ds
						self.out_ds = gdal.Open(tempfilename) #, gdal.GA_ReadOnly)
						# delete the temporary file
						os.unlink(tempfilename)

						if self.options.verbose:
							print "Modified -dstalpha warping result saved into 'tiles1.vrt'"
							open("tiles1.vrt","w").write(s)
					s = '''
					'''
						
			else:
				self.error("Input file has unknown SRS.", "Use --s_srs ESPG:xyz (or similar) to provide source reference system." )

			if self.out_ds and self.options.verbose:
				print "Projected file:", "tiles.vrt", "( %sP x %sL - %s bands)" % (self.out_ds.RasterXSize, self.out_ds.RasterYSize, self.out_ds.RasterCount)
		
		if not self.out_ds:
			self.out_ds = self.in_ds

		#
		# Here we should have a raster (out_ds) in the correct Spatial Reference system
		#

		# KML test
		self.isepsg4326 = False
		srs4326 = osr.SpatialReference()
		srs4326.ImportFromEPSG(4326)
		if self.out_srs and srs4326.ExportToProj4() == self.out_srs.ExportToProj4():
			self.kml = True
			self.isepsg4326 = True
			if self.options.verbose:
				print "KML autotest OK!"

		# Instantiate image output.
		self.image_output = ImageOutput(self.options.tile_format, self.out_ds, self.tilesize,
										self.options.resampling, self.in_nodata, self.output)

		# Read the georeference 

		self.out_gt = self.out_ds.GetGeoTransform()
			
		#originX, originY = self.out_gt[0], self.out_gt[3]
		#pixelSize = self.out_gt[1] # = self.out_gt[5]
		
		# Test the size of the pixel
		
		# MAPTILER - COMMENTED
		#if self.out_gt[1] != (-1 * self.out_gt[5]) and self.options.profile != 'raster':
			# TODO: Process corectly coordinates with are have swichted Y axis (display in OpenLayers too)
			#self.error("Size of the pixel in the output differ for X and Y axes.")
			
		# Report error in case rotation/skew is in geotransform (possible only in 'raster' profile)
		if (self.out_gt[2], self.out_gt[4]) != (0,0):
			self.error("Georeference of the raster contains rotation or skew. Such raster is not supported. Please use gdalwarp first.")
			# TODO: Do the warping in this case automaticaly

		#
		# Here we expect: pixel is square, no rotation on the raster
		#

		# Output Bounds - coordinates in the output SRS
		self.ominx = self.out_gt[0]
		self.omaxx = self.out_gt[0]+self.out_ds.RasterXSize*self.out_gt[1]
		self.omaxy = self.out_gt[3]
		self.ominy = self.out_gt[3]-self.out_ds.RasterYSize*self.out_gt[1]
		# Note: maybe round(x, 14) to avoid the gdal_translate behaviour, when 0 becomes -1e-15

		if self.options.verbose:
			print "Bounds (output srs):", round(self.ominx, 13), self.ominy, self.omaxx, self.omaxy

		#
		# Calculating ranges for tiles in different zoom levels
		#

		if self.options.profile == 'mercator':

			self.mercator = GlobalMercator() # from globalmaptiles.py
			
			# Function which generates SWNE in LatLong for given tile
			self.tileswne = self.mercator.TileLatLonBounds

			# Generate table with min max tile coordinates for all zoomlevels
			self.tminmax = range(0,32)
			for tz in range(0, 32):
				tminx, tminy = self.mercator.MetersToTile( self.ominx, self.ominy, tz )
				tmaxx, tmaxy = self.mercator.MetersToTile( self.omaxx, self.omaxy, tz )
				# crop tiles extending world limits (+-180,+-90)
				tminx, tminy = max(0, tminx), max(0, tminy)
				tmaxx, tmaxy = min(2**tz-1, tmaxx), min(2**tz-1, tmaxy)
				self.tminmax[tz] = (tminx, tminy, tmaxx, tmaxy)

			# TODO: Maps crossing 180E (Alaska?)

			# Get the minimal zoom level (map covers area equivalent to one tile) 
			if self.tminz == None:
				self.tminz = self.mercator.ZoomForPixelSize( self.out_gt[1] * max( self.out_ds.RasterXSize, self.out_ds.RasterYSize) / float(self.tilesize) )

			# Get the maximal zoom level (closest possible zoom level up on the resolution of raster)
			if self.tmaxz == None:
				self.tmaxz = self.mercator.ZoomForPixelSize( self.out_gt[1] )
			
			if self.options.verbose:
				print "Bounds (latlong):", self.mercator.MetersToLatLon( self.ominx, self.ominy), self.mercator.MetersToLatLon( self.omaxx, self.omaxy)
				print 'MinZoomLevel:', self.tminz
				print "MaxZoomLevel:", self.tmaxz, "(", self.mercator.Resolution( self.tmaxz ),")"

		if self.options.profile == 'geodetic':

			self.geodetic = GlobalGeodetic() # from globalmaptiles.py

			# Function which generates SWNE in LatLong for given tile
			self.tileswne = self.geodetic.TileLatLonBounds
			
			# Generate table with min max tile coordinates for all zoomlevels
			self.tminmax = range(0,32)
			for tz in range(0, 32):
				tminx, tminy = self.geodetic.LatLonToTile( self.ominx, self.ominy, tz )
				tmaxx, tmaxy = self.geodetic.LatLonToTile( self.omaxx, self.omaxy, tz )
				# crop tiles extending world limits (+-180,+-90)
				tminx, tminy = max(0, tminx), max(0, tminy)
				tmaxx, tmaxy = min(2**(tz+1)-1, tmaxx), min(2**tz-1, tmaxy)
				self.tminmax[tz] = (tminx, tminy, tmaxx, tmaxy)
				
			# TODO: Maps crossing 180E (Alaska?)

			# Get the maximal zoom level (closest possible zoom level up on the resolution of raster)
			if self.tminz == None:
				self.tminz = self.geodetic.ZoomForPixelSize( self.out_gt[1] * max( self.out_ds.RasterXSize, self.out_ds.RasterYSize) / float(self.tilesize) )

			# Get the maximal zoom level (closest possible zoom level up on the resolution of raster)
			if self.tmaxz == None:
				self.tmaxz = self.geodetic.ZoomForPixelSize( self.out_gt[1] )
			
			if self.options.verbose:
				print "Bounds (latlong):", self.ominx, self.ominy, self.omaxx, self.omaxy
					
		if self.options.profile in ('raster', 'gearth'):
			
			log2 = lambda x: math.log10(x) / math.log10(2) # log2 (base 2 logarithm)
			
			self.nativezoom = int(max( math.ceil(log2(self.out_ds.RasterXSize/float(self.tilesize))),
			                           math.ceil(log2(self.out_ds.RasterYSize/float(self.tilesize)))))
			
			if self.options.verbose:
				print "Native zoom of the raster:", self.nativezoom

			# Get the minimal zoom level (whole raster in one tile)
			if self.tminz == None:
				self.tminz = 0

			# Get the maximal zoom level (native resolution of the raster)
			if self.tmaxz == None:
				self.tmaxz = self.nativezoom

			# Generate table with min max tile coordinates for all zoomlevels
			self.tminmax = range(0, self.tmaxz+1)
			self.tsize = range(0, self.tmaxz+1)
			for tz in range(0, self.tmaxz+1):
				tsize = 2.0**(self.nativezoom-tz)*self.tilesize
				tminx, tminy = 0, 0
				tmaxx = int(math.ceil( self.out_ds.RasterXSize / tsize )) - 1
				tmaxy = int(math.ceil( self.out_ds.RasterYSize / tsize )) - 1
				self.tsize[tz] = math.ceil(tsize)
				self.tminmax[tz] = (tminx, tminy, tmaxx, tmaxy)

			# Function which generates SWNE in LatLong for given tile
			if self.kml and self.in_srs_wkt:
				self.ct = osr.CoordinateTransformation(self.in_srs, srs4326)

				def rastertileswne(x,y,z):
					pixelsizex = (2**(self.tmaxz-z) * self.out_gt[1]) # X-pixel size in level
					pixelsizey = (2**(self.tmaxz-z) * self.out_gt[1]) # Y-pixel size in level (usually -1*pixelsizex)
					west = self.out_gt[0] + x*self.tilesize*pixelsizex
					east = west + self.tilesize*pixelsizex
					south = self.ominy + y*self.tilesize*pixelsizex
					north = south + self.tilesize*pixelsizex
					if not self.isepsg4326:
						# Transformation to EPSG:4326 (WGS84 datum)
						west, south = self.ct.TransformPoint(west, south)[:2]
						east, north = self.ct.TransformPoint(east, north)[:2]
					return south, west, north, east

				self.tileswne = rastertileswne
			else:
				self.tileswne = lambda x, y, z: (0,0,0,0)

	# -------------------------------------------------------------------------
	def generate_metadata(self):
		"""Generation of main metadata files and HTML viewers (metadata related to particular tiles are generated during the tile processing)."""
		
		if not os.path.exists(self.output):
			os.makedirs(self.output)

		if self.options.profile == 'mercator':
			
			south, west = self.mercator.MetersToLatLon( self.ominx, self.ominy)
			north, east = self.mercator.MetersToLatLon( self.omaxx, self.omaxy)
			south, west = max(-85.05112878, south), max(-180.0, west)
			north, east = min(85.05112878, north), min(180.0, east)
			self.swne = (south, west, north, east)

			# Generate googlemaps.html
			if self.options.webviewer in ('all','google') and self.options.profile == 'mercator':
				if not self.options.resume or not os.path.exists(os.path.join(self.output, 'googlemaps.html')):
					f = open(os.path.join(self.output, 'googlemaps.html'), 'w')
					f.write( self.generate_googlemaps() )
					f.close()

			# Generate openlayers.html
			if self.options.webviewer in ('all','openlayers'):
				if not self.options.resume or not os.path.exists(os.path.join(self.output, 'openlayers.html')):
					f = open(os.path.join(self.output, 'openlayers.html'), 'w')
					f.write( self.generate_openlayers() )
					f.close()

		elif self.options.profile == 'geodetic':
			
			west, south = self.ominx, self.ominy
			east, north = self.omaxx, self.omaxy
			south, west = max(-90.0, south), max(-180.0, west)
			north, east = min(90.0, north), min(180.0, east)
			self.swne = (south, west, north, east)
			
			# Generate openlayers.html
			if self.options.webviewer in ('all','openlayers'):
				if not self.options.resume or not os.path.exists(os.path.join(self.output, 'openlayers.html')):
					f = open(os.path.join(self.output, 'openlayers.html'), 'w')
					f.write( self.generate_openlayers() )
					f.close()			

		elif self.options.profile == 'raster':
			
			west, south = self.ominx, self.ominy
			east, north = self.omaxx, self.omaxy

			self.swne = (south, west, north, east)
			
			# Generate openlayers.html
			if self.options.webviewer in ('all','openlayers'):
				if not self.options.resume or not os.path.exists(os.path.join(self.output, 'openlayers.html')):
					f = open(os.path.join(self.output, 'openlayers.html'), 'w')
					f.write( self.generate_openlayers() )
					f.close()			


		# Generate tilemapresource.xml.
		if (self.options.tile_format != 'hybrid' and self.options.profile != 'gearth'
			and (not self.options.resume or not os.path.exists(os.path.join(self.output, 'tilemapresource.xml')))):
			f = open(os.path.join(self.output, 'tilemapresource.xml'), 'w')
			f.write( self.generate_tilemapresource())
			f.close()

	# -------------------------------------------------------------------------
	def generate_base_tiles(self):
		"""Generation of the base tiles (the lowest in the pyramid) directly from the input raster"""
		
		print "Generating Base Tiles:"
		
		if self.options.verbose:
			#mx, my = self.out_gt[0], self.out_gt[3] # OriginX, OriginY
			#px, py = self.mercator.MetersToPixels( mx, my, self.tmaxz)
			#print "Pixel coordinates:", px, py, (mx, my)
			print
			print "Tiles generated from the max zoom level:"
			print "----------------------------------------"
			print


		# Set the bounds
		tminx, tminy, tmaxx, tmaxy = self.tminmax[self.tmaxz]
		querysize = self.querysize

		# Just the center tile
		#tminx = tminx+ (tmaxx - tminx)/2
		#tminy = tminy+ (tmaxy - tminy)/2
		#tmaxx = tminx
		#tmaxy = tminy

		#print tminx, tminy, tmaxx, tmaxy
		tcount = (1+abs(tmaxx-tminx)) * (1+abs(tmaxy-tminy))
		#print tcount
		ti = 0
		
		ds = self.out_ds
		tz = self.tmaxz
		for ty in range(tmaxy, tminy-1, -1): #range(tminy, tmaxy+1):
			for tx in range(tminx, tmaxx+1):

				if self.stopped:
					break
				ti += 1

				#print "\tgdalwarp -ts 256 256 -te %s %s %s %s %s %s_%s_%s.tif" % ( b[0], b[1], b[2], b[3], "tiles.vrt", tz, tx, ty)

				# Don't scale up by nearest neighbour, better change the querysize
				# to the native resolution (and return smaller query tile) for scaling

				if self.options.profile in ('mercator','geodetic'):
					if self.options.profile == 'mercator':
						# Tile bounds in EPSG:900913
						b = self.mercator.TileBounds(tx, ty, tz)
					elif self.options.profile == 'geodetic':
						b = self.geodetic.TileBounds(tx, ty, tz)

					rb, wb = self.geo_query( ds, b[0], b[3], b[2], b[1])
					nativesize = wb[0]+wb[2] # Pixel size in the raster covering query geo extent
					if self.options.verbose:
						print "\tNative Extent (querysize",nativesize,"): ", rb, wb

					querysize = self.querysize
					# Tile bounds in raster coordinates for ReadRaster query
					rb, wb = self.geo_query( ds, b[0], b[3], b[2], b[1], querysize=querysize)

					rx, ry, rxsize, rysize = rb
					wx, wy, wxsize, wysize = wb
				else: # 'raster' or 'gearth' profile:
					
					tsize = int(self.tsize[tz]) # tilesize in raster coordinates for actual zoom
					xsize = self.out_ds.RasterXSize # size of the raster in pixels
					ysize = self.out_ds.RasterYSize
					if tz >= self.nativezoom:
						querysize = self.tilesize # int(2**(self.nativezoom-tz) * self.tilesize)

					rx = (tx) * tsize
					rxsize = 0
					if tx == tmaxx:
						rxsize = xsize % tsize
					if rxsize == 0:
						rxsize = tsize
					
					rysize = 0
					if ty == tmaxy:
						rysize = ysize % tsize
					if rysize == 0:
						rysize = tsize
					ry = ysize - (ty * tsize) - rysize

					wx, wy = 0, 0
					wxsize, wysize = int(rxsize/float(tsize) * self.tilesize), int(rysize/float(tsize) * self.tilesize)
					if wysize != self.tilesize:
						wy = self.tilesize - wysize

				xyzzy = Xyzzy(querysize, rx, ry, rxsize, rysize, wx, wy, wxsize, wysize)

				if self.options.resume:
					exists = self.image_output.tile_exists(tx, ty, tz)
					if exists and self.options.verbose:
						print "Tile generation skiped because of --resume"
				else:
					exists = False

				if not exists:
					try:
						if self.options.verbose:
							print ti,'/',tcount
							print "\tReadRaster Extent: ", (rx, ry, rxsize, rysize), (wx, wy, wxsize, wysize)

						self.image_output.write_base_tile(tx, ty, tz, xyzzy)
					except ImageOutputException, e:
						self.error("'%d/%d/%d': %s" % (tz, tx, ty, e.message))

				if not self.options.verbose:
					self.progressbar( ti / float(tcount) )

	# -------------------------------------------------------------------------
	def generate_overview_tiles(self):
		"""Generation of the overview tiles (higher in the pyramid) based on existing tiles"""
		
		print "Generating Overview Tiles:"
		
		# Usage of existing tiles: from 4 underlying tiles generate one as overview.
		
		tcount = 0
		for tz in range(self.tmaxz-1, self.tminz-1, -1):
			tminx, tminy, tmaxx, tmaxy = self.tminmax[tz]
			tcount += (1+abs(tmaxx-tminx)) * (1+abs(tmaxy-tminy))

		ti = 0
		
		# querysize = tilesize * 2

		for tz in range(self.tmaxz-1, self.tminz-1, -1):

			tminx, tminy, tmaxx, tmaxy = self.tminmax[tz]
			for ty in range(tmaxy, tminy-1, -1): #range(tminy, tmaxy+1):
				for tx in range(tminx, tmaxx+1):
					
					if self.stopped:
						break
						
					ti += 1

					if self.options.resume:
						exists = self.image_output.tile_exists(tx, ty, tz)
						if exists and self.options.verbose:
							print "Tile generation skiped because of --resume"
					else:
						exists = False

					if not exists:
						try:
							if self.options.verbose:
								print ti,'/',tcount
								print "\tbuild from zoom", tz+1," tiles:", (2*tx, 2*ty), (2*tx+1, 2*ty),(2*tx, 2*ty+1), (2*tx+1, 2*ty+1)

							self.image_output.write_overview_tile(tx, ty, tz)
						except Exception, e:
							self.error("'%d/%d/%d': %s" % (tz, tx, ty, e.message))

					if not self.options.verbose:
						self.progressbar( ti / float(tcount) )

		if not self.kml:
			return

		# Generate KML based on which files were produced.…