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TouchTerrain_standalone.py
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TouchTerrain_standalone.py
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#!/usr/bin/env python
"""
TouchTerrain_standalone
USAGE: python TouchTerrain_standalone.py config.json
parses the JSON file config.json, downloads terrain raster via Earth Engine,
processes it into tiles and saves them in a zip file.
Alternative to running the TouchTerrain web server.
"""
'''
@author: Chris Harding
@license: GPL
@contact: [email protected]
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
'''
import time
import json
import sys, os
from os.path import abspath, dirname
try:
from touchterrain.common import TouchTerrainEarthEngine as TouchTerrain
from touchterrain.common.TouchTerrainGPX import *
except:
print("Error: touchterrain module is not installed. Use pip install . in the same folder as setup.py")
sys.exit()
#
# How to run the standalone version:
#
# Make a copy of example_config.json (in the stuff folder), modify the parameters and save it with a new
# name (e.g. my.json) in the same folder as this .py file. The JSON file format follows the args dict shown below.
#
# run python with your JSON file as the only arg, e.g.:
#
# python TouchTerrain_standalone.py my.json
#
# main function, will be called at the end of the script
def main():
# Default parameters:
# The JSON file overwrites values for the following keys, which are used as
# args for get_zipped_tiles() and save them inside a zipped folder.
# Print each tile on a 3D printer (they are already scaled!)
args = {
"DEM_name": 'USGS/NED',# DEM_name: name of DEM source used in Google Earth Engine
# for all valid sources, see DEM_sources in TouchTerrainEarthEngine.py
"trlat": 44.69741706507476, # lat/lon of top right corner
"trlon": -107.97962089843747,
"bllat": 44.50185267072875, # lat/lon of bottom left corner
"bllon": -108.25427910156247,
"importedDEM": None, # if not None, the raster file to use as DEM instead of using GEE (null in JSON)
"printres": 0.5, # resolution (horizontal) of 3D printer (= size of one pixel) in mm
"ntilesx": 1, # number of tiles in x and y
"ntilesy": 1,
"tilewidth": 80, # width of each tile in mm (<- !!!!!), tile height is calculated
"basethick": 1, # thickness (in mm) of printed base
"zscale": 1.0, # elevation (vertical) scaling
"fileformat": "STLb", # format of 3D model files: "obj" wavefront obj (ascii),"STLa" ascii STL or "STLb" binary STL
"tile_centered": False, # True-> all tiles are centered around 0/0, False, all tiles "fit together"
"zip_file_name": "terrain", # base name of zipfile, .zip will be added
"CPU_cores_to_use" : 0, # 0 means all cores, None (null in JSON!) => don't use multiprocessing
"max_cells_for_memory_only" : 1000 * 1000, # if raster is bigger, use temp_files instead of memory
# these are the args that could be given "manually" via the web UI
"no_bottom": False, # omit bottom triangles?
#"rot_degs": 0, # rotate by degrees ccw # CH disabled for now
"bottom_image": None, # 1 band greyscale image used for bottom relief
"ignore_leq": None, # set values <= this to NaN, so they are ignored
"lower_leq": None, # e.g. [0.0, 2.0] values <= 0.0 will be lowered by 2mm in the final model
"unprojected": False, # don't project to UTM, only usefull when using GEE for DEM rasters
"only": None,# list of tile index [x,y] with is the only tile to be processed. None means process all tiles (index is 1 based)
}
# write an example json file, in case it gets deleted ...
with open('example_config.json', 'w+') as fp:
json.dump(args, fp, indent=0, sort_keys=True) # indent = 0: newline after each comma
print('Wrote example_config.json with default values, you can use it as a template but make sure to rename it!')
# parse args
if len(sys.argv) > 1: # sys.argv are the CLI args
json_fname = sys.argv[1]
try:
fp = open(json_fname, "rU")
except Exception as e:
sys.exit("Error: can't find " + json_fname + ": " + str(e))
file_content = fp.read()
try:
json_args = json.loads(file_content)
except Exception as e:
sys.exit("Error: can't json parse " + json_fname + ": " + str(e))
print("reading", json_fname)
for k in list(args.keys()):
try:
args[k] = json_args[k] # try to find a value for k in json config file
#print k, args[k]
except:
print("info:", k, "has missing or invalid value, using defaults where possible") # no match? no problem, just keep the default value
#print "%s = %s" % (k, str(args[k]))
else:
# no JSON config file given, setting config values in code
# you can comment out lines for which you don't want to overwrite the default settings
overwrite_args = {
"DEM_name": 'USGS/NED',# DEM_name: name of DEM source used in Google Earth Engine
# for all valid sources, see DEM_sources in TouchTerrainEarthEngine.py
"trlat": 44.69741706507476, # lat/lon of top right corner
"trlon": -107.97962089843747,
"bllat": 44.50185267072875, # lat/lon of bottom left corner
"bllon": -108.25427910156247,
"importedDEM": None, # if not None, the raster file to use as DEM instead of using GEE (null in JSON)
"printres": 0.5, # resolution (horizontal) of 3D printer (= size of one pixel) in mm
"ntilesx": 1, # number of tiles in x and y
"ntilesy": 1,
"tilewidth": 80, # width of each tile in mm (<- !!!!!), tile height is calculated
"basethick": 1, # thickness (in mm) of printed base
"zscale": 1.0, # elevation (vertical) scaling
"fileformat": "STLb", # format of 3D model files: "obj" wavefront obj (ascii),"STLa" ascii STL or "STLb" binary STL
"tile_centered": False, # True-> all tiles are centered around 0/0, False, all tiles "fit together"
"zip_file_name": "terrain", # base name of zipfile, .zip will be added
"CPU_cores_to_use" : 0, # 0 means all cores, None (null in JSON!) => don't use multiprocessing
"max_cells_for_memory_only" : 1000 * 1000, # if raster is bigger, use temp_files instead of memory
"no_bottom": False, # omit bottom triangles?
#"rot_degs": 0, # rotate by degrees ccw # CH disabled for now
"bottom_image": None, # 1 band greyscale image used for bottom relief
"ignore_leq": None, # set values <= this to NaN, so they are ignored
"lower_leq": None, # e.g. [0.0, 2.0] values <= 0.0 will be lowered by 2mm in the final model
"unprojected": False, # don't project to UTM, only usefull when using GEE for DEM rasters
"only": None,# list of tile index [x,y] with is the only tile to be processed. None means process all tiles (index is 1 based)
#"poly_file": "idaho.kml", #TT_poly_test.kml",
}
# overwrite config settings in args
for k in overwrite_args:
args[k] = overwrite_args[k]
# CH testing gpx here, so I can use the debugger
'''
args = {
"importedDEM": None,
"DEM_name": "USGS/NED", # DEM source
# area for gpx test
"bllat": 39.32205105794382, # bottom left corner lat
"bllon": -120.37497608519418, # bottom left corner long
"trlat": 39.45763749030933, # top right corner lat
"trlon": -120.2002248034559, # top right corner long
"tilewidth": 120, # width of each tile in mm,
"printres": 0.4, # resolution (horizontal) of 3D printer in mm
"ntilesx": 1, # number of tiles in x
"ntilesy": 1, # number of tiles in y
"basethick": 0.5, # thickness (in mm) of printed base
"zscale": 1.5, # elevation (vertical) scaling
"fileformat": "STLb", # format of 3D model file
"zip_file_name": "test_get_zipped_tiles_gpx", # base name of zipfile, .zip will be added
"importedGPX": # Plot GPX paths from these files onto the model.
["stuff/gpx-test/DLRTnML.gpx",
"stuff/gpx-test/DonnerToFrog.gpx",
"stuff/gpx-test/CinTwistToFrog.gpx",
"stuff/gpx-test/sagehen.gpx",
"stuff/gpx-test/dd-to-prosser.gpx",
"stuff/gpx-test/alder-creek-to-crabtree-canyon.gpx",
"stuff/gpx-test/ugly-pop-without-solvang.gpx",
"stuff/gpx-test/tomstrail.gpx"
],
"gpxPathHeight": 100, # Currently we plot the GPX path by simply adjusting the raster elevation at the specified lat/lon,
# therefore this is in meters. Negative numbers are ok and put a dent in the mdoel
"gpxPixelsBetweenPoints" : 20, # GPX Files haves a lot of points. A higher number will create more space between lines drawn
# on the model and can have the effect of making the paths look a bit cleaner
"gpxPathThickness" : 5, # Stack parallel lines on either side of primary line to create thickness.
# A setting of 1 probably looks the best
}
ml = convert_to_GeoJSON(args["importedGPX"])
'''
# print out current args
print("\nUsing these config values:")
for k in sorted(args.keys()):
print("%s = %s" % (k, str(args[k])))
# for local DEM, get the full path to it
if not args["importedDEM"] == None:
args["importedDEM"] = abspath(args["importedDEM"])
# Give all config values to get_zipped_tiles for processing:
totalsize, full_zip_file_name = TouchTerrain.get_zipped_tiles(**args) # all args are in a dict
print("\nCreated zip file", full_zip_file_name, "%.2f" % totalsize, "Mb")
# Optional: unzip the zip file into the current folder
if 1: # set this to 0 if you don't want the zip file to be unzippeed
#import os.path
#folder, file = os.path.splitext(full_zip_file_name) # tmp folder
folder = os.getcwd() + os.sep + args["zip_file_name"]# new stl folder in current folder
# unzip the zipfile into the folder it's already in
import zipfile
zip_ref = zipfile.ZipFile(full_zip_file_name, 'r')
zip_ref.extractall(folder)
zip_ref.close()
print("unzipped file inside", full_zip_file_name, "into", folder)
'''
import k3d
# get all stl files in that folder
from glob import glob
mesh_files = glob(folder + os.sep + "*.stl")
print "in folder", folder, "using", mesh_files
plot = k3d.plot()
for m in mesh_files:
print m
buf = open(m, 'rb').read()
#buf = str(stl_model)
#buf = buf.encode('utf_32')
print buf[:100]
plot += k3d.stl(buf)
plot.display()
'''
#
# end of main()
if __name__ == "__main__":
# this is/should only be needed on Windows and only if we do multi processing
# but it has to be done before we know if MP is actually used
from multiprocessing import freeze_support
freeze_support()
main()