WS30: Improved road generation
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A set of trivial python scripts to generate World Scener 3.0 (ws30) scenery
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A set of trivial python scripts to generate World Scenery 3.0 (ws30) scenery
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features from openstreetmap data, using the overpass API to retrieve data at
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runtime.
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206
ws30/calc_tile.py
Executable file
206
ws30/calc_tile.py
Executable file
@ -0,0 +1,206 @@
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# -*- coding: utf-8 -*-
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"""
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shamelessly translated from calc-tile.pl
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"""
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import logging
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from math import floor
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import os
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from typing import List, Tuple
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import unittest
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import numpy as np
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def bucket_span(lat: float) -> float:
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"""Latitude Range -> Tile Width (deg)"""
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abs_lat = abs(lat)
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if abs_lat >= 89:
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return 360
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elif abs_lat >= 88:
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return 8
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elif abs_lat >= 86:
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return 4
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elif abs_lat >= 83:
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return 2
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elif abs_lat >= 76:
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return 1
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elif abs_lat >= 62:
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return .5
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elif abs_lat >= 22:
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return .25
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elif abs_lat >= 0:
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return .125
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return 360
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def format_lon(lon):
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"""Format longitude as e/w."""
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if lon < 0.:
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return "w%03d" % int(0. - lon)
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else:
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return "e%03d" % int(lon)
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def format_lat(lat):
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"""Format latitude as n/s."""
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if lat < 0.:
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return "s%02d" % int(0. - lat)
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else:
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return "n%02d" % int(lat)
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def directory_name(lon_lat: Tuple[float, float], separator: str = None) -> str:
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"""Generate the directory name for a location."""
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(lon, lat) = lon_lat
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lon_floor = floor(lon)
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lat_floor = floor(lat)
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lon_chunk = floor(lon/10.0) * 10
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lat_chunk = floor(lat/10.0) * 10
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if separator:
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return '{}{}{}{}{}'.format(format_lon(lon_chunk), format_lat(lat_chunk), separator,
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format_lon(lon_floor), format_lat(lat_floor))
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return os.path.join(format_lon(lon_chunk) + format_lat(lat_chunk), format_lon(lon_floor) + format_lat(lat_floor))
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def calc_tile_index(lon_lat: Tuple[float, float], x: int = 0, y: int = 0) -> int:
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"""See http://wiki.flightgear.org/Tile_Index_Scheme"""
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(lon, lat) = lon_lat
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if x == 0 and y == 0:
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y = calc_y(lat)
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x = calc_x(lon, lat)
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index = (int(floor(lon)) + 180) << 14
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index += (int(floor(lat)) + 90) << 6
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index += y << 3
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index += x
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return index
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def calc_tile_location(tile_index: int) -> Tuple[Tuple[float, float], Tuple[float, float]]:
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"""The lon/lat as well as x/y tuples for the location of a tile by its index"""
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lon = tile_index >> 14
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index = tile_index - (lon << 14)
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lon = lon - 180
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lat = index >> 6
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index = index - (lat << 6)
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lat = lat - 90
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y = index >> 3
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index = index - (y << 3)
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x = index
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return (lon, lat), (x, y)
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def log_tile_info(tile_index: int) -> None:
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"""logs information about the tile to logging.debug."""
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(lon, lat), (x, y) = calc_tile_location(tile_index)
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center_lat = lat + y / 8.0 + 0.0625
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center_lon = bucket_span(center_lat)
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if center_lon >= 1.0:
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center_lon = lon + center_lon / 2.0
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else:
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center_lon = lon + x * center_lon + center_lon / 2.0
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tile_info = 'Tile location: {}; lon: {}, lat: {}; x: {}, y: {}; tile span degrees: {}; center lon/lat: {}/{}.'
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logging.debug(tile_info.format(tile_index, lon, lat, x, y, bucket_span(lat), center_lon, center_lat))
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def construct_path_to_files(base_directory: str, scenery_type: str, center_global: Tuple[float, float]) -> str:
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"""Returns the path to the stg-files in a FG scenery directory hierarchy at a given global lat/lon location.
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The scenery type is e.g. 'Terrain', 'Object', 'Buildings'."""
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return os.path.join(base_directory, scenery_type, directory_name(center_global))
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def construct_stg_file_name(center_global: Tuple[float, float]) -> str:
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"""Returns the file name of the stg-file at a given global lat/lon location"""
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return construct_stg_file_name_from_tile_index(calc_tile_index(center_global))
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def construct_stg_file_name_from_tile_index(tile_idx: int) -> str:
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return str(tile_idx) + '.stg'
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def construct_btg_file_name_from_tile_index(tile_idx: int) -> str:
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return str(tile_idx) + '.btg.gz'
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def construct_btg_file_name_from_airport_code(airport_code: str) -> str:
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return airport_code + '.btg.gz'
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def get_north_lat(lat, y):
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return float(floor(lat)) + y / 8.0 + .125
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def get_south_lat(lat, y):
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return float(floor(lat)) + y / 8.0
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def get_west_lon(lon, lat, x):
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if x == 0:
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return float(floor(lon))
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else:
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return float(floor(lon)) + x * (bucket_span(lat))
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def get_east_lon(lon, lat, x):
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if x == 0:
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return float(floor(lon)) + (bucket_span(lat))
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else:
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return float(floor(lon)) + x * (bucket_span(lat)) + (bucket_span(lat))
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def calc_x(lon: float, lat: float) -> int:
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"""
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FIXME: is this correct? Also: some returns do not take calculations into account.
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"""
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epsilon = 0.0000001
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span = bucket_span(lat)
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if span < epsilon:
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lon = 0
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return 0
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elif span <= 1.0:
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return int((lon - floor(lon)) / span)
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else:
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if lon >= 0:
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lon = int(int(lon/span) * span)
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else:
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lon = int(int((lon+1)/span) * span - span)
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if lon < -180:
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lon = -180
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return 0
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def calc_y(lat: float) -> int:
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return int((lat - floor(lat)) * 8)
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def get_stg_files_in_boundary(boundary_west: float, boundary_south: float, boundary_east: float, boundary_north: float,
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path_to_scenery: str, scenery_type: str) -> List[str]:
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"""Based on boundary rectangle returns a list of stg-files (incl. full path) to be found within the boundary of
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the scenery"""
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stg_files = []
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for my_lat in np.arange(boundary_south, boundary_north, 0.125): # latitude; 0.125 as there are always 8 tiles
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for my_lon in np.arange(boundary_west, boundary_east, bucket_span(my_lat)): # longitude
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coords = (my_lon, my_lat)
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stg_files.append(os.path.join(construct_path_to_files(path_to_scenery, scenery_type, coords),
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construct_stg_file_name(coords)))
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return stg_files
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# ================ UNITTESTS =======================
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class TestCalcTiles(unittest.TestCase):
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def test_calc_tiles(self):
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self.assertEqual(5760, calc_tile_index((-179.9, 0.1)))
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self.assertEqual(5752, calc_tile_index((-179.9, -0.1)))
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self.assertEqual(5887623, calc_tile_index((179.9, 0.1)))
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self.assertEqual(5887615, calc_tile_index((179.9, -0.1)))
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self.assertEqual(2954880, calc_tile_index((0.0, 0.0)))
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self.assertEqual(2938495, calc_tile_index((-0.1, -0.1)))
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def test_file_name(self):
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self.assertEqual("3088961.stg", construct_stg_file_name((8.29, 47.08)))
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105
ws30/genroads.py
105
ws30/genroads.py
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# with this program; if not, write to the Free Software Foundation, Inc.,
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# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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# Simple generate of line feature - roads, railways, rivers
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# You will need Python Overpass API - "pip install overpy"
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import xml.etree.ElementTree as etree
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@ -32,11 +32,13 @@ import calc_tile
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import overpy
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nodes = {}
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curr_road_count = 0
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curr_river_count = 0
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road_count = 0
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river_count = 0
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if (len(sys.argv) != 6):
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print("Simple generation of ROAD_LIST files")
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print("Simple generation of LINEAR_FEATURE_LIST files")
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print("")
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print("Usage: " + sys.argv[0] + " <scenery_dir> <lon1> <lat1> <lon2> <lat2>")
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print(" <scenery_dir> \tScenery directory to write to")
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@ -63,14 +65,14 @@ def add_to_stg(lat, lon, type):
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with open(stg, 'a') as f:
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f.write("LINE_FEATURE_LIST " + feature_file(lat, lon, type) + " " + type + "\n")
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def write_feature(lon, lat, road, type, width):
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def write_feature(lon, lat, road, type, width, lit):
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index = calc_tile.calc_tile_index((lon,lat))
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dirname = os.path.join(scenery_prefix, calc_tile.directory_name((lon, lat)))
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os.makedirs(dirname, exist_ok=True)
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txt = os.path.join(scenery_prefix, calc_tile.directory_name((lon, lat)), feature_file(lat, lon, type))
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#print("Writing " + txt)
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with open(txt, 'a') as f:
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f.write(str(width) + " 0 1 1 1 1") # Width plus currently unused generic attributes.
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f.write(str(width) + " " + str(lit) + " 1 1 1 1") # Width plus currently unused generic attributes.
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for pt in road :
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f.write(" " + str(pt.lon) + " " + str(pt.lat))
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f.write("\n")
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@ -90,34 +92,46 @@ def write_feature(lon, lat, road, type, width):
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def parse_way(way) :
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global road_count, river_count, lat1, lon1, lat2, lon2
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global curr_road_count, curr_river_count, lat1, lon1, lat2, lon2
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pts = []
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width = 6.0
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lit = 0
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road = 0
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river = 0
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rail = 0
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highway = way.tags.get("highway")
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waterway = way.tags.get("waterway")
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railway = way.tags.get("railway")
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feature_type = "None"
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if (highway=="motorway_junction") or (highway=="motorway") or (highway=="motorway_link"):
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width = 15.0
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feature_type = "Road"
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road_count = road_count + 1
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feature_type = "ws30Freeway"
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curr_road_count = curr_road_count + 1
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if (highway=="secondary") or (highway=="primary") or (highway=="trunk") or (highway=="trunk_link") or (highway=="primary_link") or (highway=="secondary_link") :
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if (highway=="primary") or (highway=="trunk") or (highway=="trunk_link") or (highway=="primary_link") :
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width = 12.0
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feature_type = "Road"
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road_count = road_count + 1
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feature_type = "ws30Freeway"
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curr_road_count = curr_road_count + 1
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if (highway=="secondary") or (highway=="secondary_link") :
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width = 12.0
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feature_type = "ws30Road"
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curr_road_count = curr_road_count + 1
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if (highway=="unclassified") or (highway=="tertiary") or (highway=="tertiary_link") or (highway=="service") or (highway=="residential"):
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width = 6.0
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feature_type = "Road"
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road_count = road_count + 1
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feature_type = "ws30Road"
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curr_road_count = curr_road_count + 1
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if (waterway=="river") or (waterway=="canal") :
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width = 10.0
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feature_type = "Watercourse"
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river_count = river_count + 1
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feature_type = "ws30River"
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curr_river_count = curr_river_count + 1
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if (railway=="rail") or (railway=="preserved") or (railway=="disused") :
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width = 4.2 # Standard guage ~ 1.4m, with twice the space either side
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feature_type = "ws30Railway"
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# Use the width if defined and parseable
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if (way.tags.get("width") != None) :
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@ -130,6 +144,16 @@ def parse_way(way) :
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except ValueError :
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print("Unable to parse width " + width_str)
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# Use the lit tag if defined and parseable
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if (way.tags.get("lit") != None) :
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lit_str = way.tags.get("lit")
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if ((lit_str == "no") or (lit == "disused")) :
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# Specific tags for unlit ways
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lit = 0
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else :
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# Everything else indicates some form of lighting
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lit = 1
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if (feature_type != "None") :
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# It's a road or river. Add it to appropriate tile entries.
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tileids = set()
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@ -140,35 +164,52 @@ def parse_way(way) :
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idx = calc_tile.calc_tile_index([lon, lat])
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if ((float(lon1) <= lon <= float(lon2)) and (float(lat1) <= lat <= float(lat2)) and (idx not in tileids)) :
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# Write the feature to a bucket provided it's within the lat/lon bounds and if we've not already written it there
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write_feature(lon, lat, way.nodes, feature_type, width)
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write_feature(lon, lat, way.nodes, feature_type, width, lit)
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tileids.add(idx)
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def writeOSM(result):
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for child in result.ways:
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parse_way(child)
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# Get River data
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for lat in range(int(lat1), int(lat2)):
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for lon in range(int(lon1), int(lon2)):
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curr_road_count = 0
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curr_river_count = 0
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osm_bbox = ",".join([str(lat), str(lon), str(lat+1), str(lon+1)])
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#api = overpy.Overpass(url="https://lz4.overpass-api.de/api/interpreter")
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api = overpy.Overpass(url="https://overpass.kumi.systems/api/interpreter")
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osm_bbox = ",".join([lat1, lon1, lat2, lon2])
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api = overpy.Overpass(url="https://lz4.overpass-api.de/api/interpreter")
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# Get River data
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river_query = "(way[\"waterway\"=\"river\"](" + osm_bbox + "); way[\"waterway\"=\"canal\"](" + osm_bbox + "););(._;>;);out;"
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result = api.query(river_query)
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writeOSM(result)
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river_query = "(way[\"waterway\"=\"river\"](" + osm_bbox + "); way[\"waterway\"=\"canal\"](" + osm_bbox + "););(._;>;);out;"
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result = api.query(river_query)
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writeOSM(result)
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railway_query = "("
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railway_types = ["rail", "preserved", "disused"]
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for r in railway_types :
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railway_query = railway_query + "way[\"railway\"=\"" + r + "\"](" + osm_bbox + ");"
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road_query = "("
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#road_types = ["unclassified", "tertiary", "service", "secondary", "primary", "motorway_junction", "motorway"]
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#road_types = ["tertiary", "secondary", "primary", "motorway_junction", "motorway"]
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road_types = ["motorway", "trunk", "primary", "secondary", "tertiary", "unclassified", "residential", "motorway_link", "trunk_link", "primary_link", "secondary_link", "tertiary_link"]
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for r in road_types :
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road_query = road_query + "way[\"highway\"=\"" + r + "\"](" + osm_bbox + ");"
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railway_query = railway_query + ");(._;>;);out;"
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result = api.query(railway_query)
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writeOSM(result)
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road_query = road_query + ");(._;>;);out;"
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result = api.query(road_query)
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writeOSM(result)
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road_query = "("
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#road_types = ["unclassified", "tertiary", "service", "secondary", "primary", "motorway_junction", "motorway"]
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#road_types = ["tertiary", "secondary", "primary", "motorway_junction", "motorway"]
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road_types = ["motorway", "trunk", "primary", "secondary", "tertiary", "unclassified", "residential", "motorway_link", "trunk_link", "primary_link", "secondary_link", "tertiary_link"]
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for r in road_types :
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road_query = road_query + "way[\"highway\"=\"" + r + "\"](" + osm_bbox + ");"
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print("Wrote total of " + str(road_count) + " roads")
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print("Wrote total of " + str(river_count) + " rivers")
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road_query = road_query + ");(._;>;);out;"
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result = api.query(road_query)
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writeOSM(result)
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print(str(lat) + "," + str(lon) + ": " + str(curr_road_count) + " roads " + str(curr_river_count) + " rivers")
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road_count += curr_road_count
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river_count += curr_river_count
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print(str(lat1) + "," + str(lon1) + " " + str(lat2) + "," + str(lon2))
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print("Wrote total of " + str(road_count) + " roads " + str(river_count) + " rivers")
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#
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@ -106,6 +106,12 @@ def parse_way(way) :
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write_feature(lon, lat, way.nodes, feature_type)
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tileids.add(idx)
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def get_first_node(way) :
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return way.nodes[0]
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def get_last_node(way) :
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return way.nodes[-1]
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def parse_multi(relation):
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for way in relation.members:
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if (way.tags.get("role") == "outer") :
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