# export PYTHONPATH=/usr/lib/mapmbtiles:$PYTHONPATH
logging.basicConfig(level=logging.DEBUG)
output_directory="output"
# i_parm=0: run programm ; = 1 show info only and return
i_parm=0
i_min_level=2
i_max_level=2
#----------------------------------------------------------------------------------
for i_loop in range(i_min_level,i_max_level+1):
if i_loop == 0:
# this will create a 'mbtiles_output.mbtiles' in the directory where called
# using: 'http://{s}.tile.openstreetmap.org/{z}/{x}/{y_osm}.png'
# as default: 'jpg' images in the mbtiles files are stored as 'jpg' with 75% quality
# - the recieved png will be converted to jpg
mb_step1 = MBTilesBuilder(cache=False)
mb_step1.add_coverage(bbox=(-180.0, -90.0, 180.0, 90.0), zoomlevels=[0,1])
# use u'äöüßÄÖÜ' syntax in insure unicode when inserting into sqlite3
metadata_list = [
(u'name',u'World OpenStreetMap'),
(u'description',u'World OpenStreet Map with jpg tiles'),
(u'center',u'13.3777065575123,52.5162690144797,1'),
]
mb_step1.add_metadata(metadata_list)
# with 'False' we are telling MBTilesBuilder to exit if the file exists
# with 'True' we are telling MBTilesBuilder to use an existing mbtiles file
# i_parm=0: run programm ; = 1 show info only and return
# - if no parmameters are given: 'False,0' is assumed
# i_parm=1
mb_step1.run(False,i_parm)
del mb_step1
# Step 1 - we will subdivide an existing mbtiles #---------------------------------------------------------------------------------- i_min_level=0 i_max_level=3 # zoom-levels 0-3 Source_filepath="%s/1861_Mercator_World.mbtiles" % input_directory if os.path.exists(Source_filepath): for i_loop in range(i_min_level,i_max_level+1): if i_loop == 0: Output_filepath="%s/1861_Mercator_World.mbtiles" % output_directory if i_loop == 1: Output_filepath="%s/1861_Mercator_Europe.mbtiles" % output_directory if i_loop == 2: Output_filepath="%s/1861_Mercator_Europe_Africa.mbtiles" % output_directory print "Loop: ",i_loop,"\nSource: ",Source_filepath," \nOutput: ",Output_filepath mb_step1 = MBTilesBuilder(mbtiles_input=Source_filepath, mbtiles_output=Output_filepath) # all of the 'metadata' of the 'input' will be placed in the 'output' mbtiles.db # for i_loop == 0 : the file will be rewritten and all metadata saved # for i_loop == 1 : the area of Europe will be extracted # for i_loop == 2 : the area of Europe and Africa will be extracted # when finished with the inserts, the the min/max zoom_levels, bounds and center will be calculated and saved if i_loop == 1: position_west=-8.0 position_south=36.0 position_east=80.0 position_north=77.0 # Add area and do zoom-level 3 only mb_step1.add_coverage(bbox=(position_west,position_south,position_east,position_north), zoomlevels=[3]) # - the original 'name' and calulated center will be changed ; here 'Europe' and the Brandenburg Gate, Berlin as center # use u'äöüßÄÖÜ' syntax in insure unicode when inserting into sqlite3 metadata_list = [
# -*- coding: utf-8 -*- import logging from mapmbtiles import MBTilesBuilder # .bashrc # export PYTHONPATH=/usr/lib/mapmbtiles:$PYTHONPATH logging.basicConfig(level=logging.DEBUG) input_directory="source" output_directory="output" s_name=""; # zoom-levels 0-3 Source_filepath="%s/lidarplots.mbtiles" % input_directory for i_loop in range(0,1): if i_loop == 0: # this db was to big to include in GitHub # remote: warning: File samples/source/lidarplots.mbtiles is 90.62 MB; this is larger than GitHub's recommended maximum file size of 50 MB # 'wget http://www.mj10777.de/public/download/mbtiles/test_mbtiles/lidarplots.mbtiles -o source/lidarplots.mbtiles Output_filepath="%s/lidarplots.mbtiles" % output_directory print "Loop: ",i_loop,"\nSource: ",Source_filepath," \nOutput: ",Output_filepath mb = MBTilesBuilder(mbtiles_input=Source_filepath, mbtiles_output=Output_filepath) # lidarplots.mbtiles db used 'tiles' as a table and not a view # - the result will be created with 'tiles' as a view with 'map' and 'images' as a table # the metadata table used mixed lettering for 'name' : 'minZoom' # - these will be recognized and changed to lower case # all of the 'metadata' of the 'input' will be placed in the 'output' mbtiles.db # for i_loop == 0 : the file will be rewritten and all metadata saved mb.run()