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1302869ed1
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import json
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from distutils.util import strtobool
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import geopy.distance
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import time
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import configparser
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import csv
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def filter_buildings(overpass_json):
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# Functie voor het filteren van alle beschikbare elementen naar gebouwen
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buildings = []
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for i in overpass_json['elements']:
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if 'building' in i['tags']:
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building_corner_ids = []
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for j in i['nodes']:
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building_corner_ids.append(j)
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buildings.append(building_corner_ids)
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return buildings
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def filter_building_types(overpass_json):
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# Functie voor het filteren van alle beschikbare elementen naar gebouwen
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building_types = []
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for i in overpass_json['elements']:
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if 'building' in i['tags']:
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building_types.append(i['tags']['building'])
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return building_types
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def filter_nodes(overpass_json):
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# Functie voor het filteren van alle beschikbare elementen naar nodes
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nodes = {}
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for i in overpass_json['elements']:
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if i['type'] == 'node':
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nodes[i["id"]] = (i['lon'], i['lat'])
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return nodes
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def get_building_coords(nodes_list, requested_building, buildingnr):
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# Functie voor het ophalen van de coordinaten van de gefilterde gebouwen
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building_coords = {}
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coords = []
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for i in requested_building:
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if i in nodes_list:
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coords.append(nodes_list[i])
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building_coords[buildingnr] = coords
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return building_coords
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def sq_filter(unfiltered_building_coords, building_id):
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# Functie voor het filteren van een gecompliceerd gebouw naar een simpel vierkant.
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new_coordinates = {}
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coords_list = []
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lon_list = []
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lat_list = []
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for i in unfiltered_building_coords:
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lon_list.append(i[0])
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lat_list.append(i[1])
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max_lon = max(lon_list)
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min_lon = min(lon_list)
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max_lat = max(lat_list)
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min_lat = min(lat_list)
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coords_list.append((max_lon, (lat_list[lon_list.index(max_lon)])))
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coords_list.append(((lon_list[lat_list.index(max_lat)]), max_lat))
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coords_list.append((min_lon, (lat_list[lon_list.index(min_lon)])))
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coords_list.append(((lon_list[lat_list.index(min_lat)]), min_lat))
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new_coordinates[building_id] = coords_list
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return new_coordinates
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def plot_building(building, building_id):
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# Functie voor het plotten van de lengtes van de zijden van het gebouw
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building_edge_lengths = {}
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distance = []
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coords_1 = 0
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coords_3 = ""
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length_building = len(building)
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for count, i in enumerate(building):
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if coords_1 == 0:
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coords_1 = i
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coords_3 = i
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elif count == (length_building - 1):
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coords_2 = i
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distance.append(geopy.distance.distance(coords_1, coords_2).meters)
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distance.append(geopy.distance.distance(coords_3, coords_2).meters)
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else:
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coords_2 = i
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distance.append(geopy.distance.distance(coords_1, coords_2).meters)
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coords_1 = coords_2
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building_edge_lengths[building_id] = distance
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return building_edge_lengths
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config = configparser.ConfigParser()
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config.read('config.ini')
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timestr = time.strftime("%Y%m%d-%H%M%S")
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lower_length = float(input("aantal meter benedenwaarde: ") or config['ANALYZER']['lower_length'])
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higher_length = float(input("aantal meter bovenwaarde: ") or config['ANALYZER']['higher_length'])
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squaremode = bool(strtobool(input("Gebruik square mode: ") or config['ANALYZER']['squaremode']))
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resultfile = ''
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if squaremode is True:
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resultfile = open('osm_file_analysis_' + timestr + '_sq.txt', 'x')
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elif squaremode is False:
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resultfile = open('osm_file_analysis_' + timestr + '.txt', 'x')
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with open(config['SHARED']['basepath'] + config['SHARED']['json_file']) as f:
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json_file = json.load(f)
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# Filter de Json File naar de belangrijke elementen
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all_nodes = filter_nodes(json_file)
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all_buildings = filter_buildings(json_file)
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all_buildings_types = filter_building_types(json_file)
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# Bereken de lengtes
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x = 0
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building_lengths_filtered = {}
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for single_building in all_buildings:
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building_coordinates = get_building_coords(all_nodes, single_building, x)
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if squaremode is True:
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# Filter de volledige set coordinaten naar: Kleinste X, Grootste Y, Grootste X, Kleinste Y
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if not building_coordinates[x]:
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pass
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else:
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building_coordinates = sq_filter(building_coordinates[x], x)
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elif squaremode is False:
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pass
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building_type = all_buildings_types[x]
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for z in building_coordinates:
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building_lengths = plot_building(building_coordinates[z], x)
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# Filter de lengtes weg
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skip = False
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for single_length in building_lengths[x]:
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if skip is True:
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break
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if single_length >= lower_length:
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if single_length <= higher_length:
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resultfile.write('Building ID: ' + str(x) +
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'\nGebouwType:' + str(building_type) +
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'\nZijdelengtes: ' + str(building_lengths[x]).strip('[]') +
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'\nZijdelengtes afgerond: ' + str([round(y, 2) for y in building_lengths[x]]) +
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'\nGoogle maps link: http://www.google.com/maps/place/' + str(
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building_coordinates[x][0][1]) + ',' + str(building_coordinates[x][0][0]) +
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'\nOpenstreetmaps node link: http://www.openstreetmap.com/node/' + str(
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single_building[0]) +
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'\n\n')
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skip = True
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x = x + 1
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@ -0,0 +1,154 @@
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import json
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from distutils.util import strtobool
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import geopy.distance
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import time
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import configparser
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import csv
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def filter_buildings(overpass_json):
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# Functie voor het filteren van alle beschikbare elementen naar gebouwen
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buildings = []
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for i in overpass_json['elements']:
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if 'building' in i['tags']:
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building_corner_ids = []
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for j in i['nodes']:
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building_corner_ids.append(j)
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buildings.append(building_corner_ids)
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return buildings
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def filter_building_types(overpass_json):
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# Functie voor het filteren van alle beschikbare elementen naar gebouwen
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building_types = []
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for i in overpass_json['elements']:
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if 'building' in i['tags']:
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building_types.append(i['tags']['building'])
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return building_types
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def filter_nodes(overpass_json):
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# Functie voor het filteren van alle beschikbare elementen naar nodes
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nodes = {}
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for i in overpass_json['elements']:
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if i['type'] == 'node':
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nodes[i["id"]] = (i['lon'], i['lat'])
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return nodes
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def get_building_coords(nodes_list, requested_building, buildingnr):
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# Functie voor het ophalen van de coordinaten van de gefilterde gebouwen
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building_coords = {}
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coords = []
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for i in requested_building:
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if i in nodes_list:
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coords.append(nodes_list[i])
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building_coords[buildingnr] = coords
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return building_coords
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def sq_filter(unfiltered_building_coords, building_id):
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# Functie voor het filteren van een gecompliceerd gebouw naar een simpel vierkant.
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new_coordinates = {}
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coords_list = []
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lon_list = []
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lat_list = []
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for i in unfiltered_building_coords:
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lon_list.append(i[0])
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lat_list.append(i[1])
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max_lon = max(lon_list)
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min_lon = min(lon_list)
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max_lat = max(lat_list)
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min_lat = min(lat_list)
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coords_list.append((max_lon, (lat_list[lon_list.index(max_lon)])))
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coords_list.append(((lon_list[lat_list.index(max_lat)]), max_lat))
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coords_list.append((min_lon, (lat_list[lon_list.index(min_lon)])))
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coords_list.append(((lon_list[lat_list.index(min_lat)]), min_lat))
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new_coordinates[building_id] = coords_list
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return new_coordinates
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def plot_building(building, building_id):
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# Functie voor het plotten van de lengtes van de zijden van het gebouw
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building_edge_lengths = {}
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distance = []
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coords_1 = 0
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coords_3 = ""
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length_building = len(building)
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for count, i in enumerate(building):
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if coords_1 == 0:
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coords_1 = i
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coords_3 = i
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elif count == (length_building - 1):
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coords_2 = i
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distance.append(geopy.distance.distance(coords_1, coords_2).meters)
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distance.append(geopy.distance.distance(coords_3, coords_2).meters)
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else:
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coords_2 = i
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distance.append(geopy.distance.distance(coords_1, coords_2).meters)
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coords_1 = coords_2
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building_edge_lengths[building_id] = distance
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return building_edge_lengths
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config = configparser.ConfigParser()
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config.read('config.ini')
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timestr = time.strftime("%Y%m%d-%H%M%S")
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lower_length = float(input("aantal meter benedenwaarde: ") or config['ANALYZER']['lower_length'])
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higher_length = float(input("aantal meter bovenwaarde: ") or config['ANALYZER']['higher_length'])
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squaremode = bool(strtobool(input("Gebruik square mode: ") or config['ANALYZER']['squaremode']))
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resultfile = ''
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if squaremode is True:
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resultfile = 'osm_file_analysis_' + timestr + '_sq.csv'
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elif squaremode is False:
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resultfile = 'osm_file_analysis_' + timestr + '.csv'
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with open(config['SHARED']['basepath'] + config['SHARED']['json_file']) as f:
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json_file = json.load(f)
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# Filter de Json File naar de belangrijke elementen
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all_nodes = filter_nodes(json_file)
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all_buildings = filter_buildings(json_file)
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all_buildings_types = filter_building_types(json_file)
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# Bereken de lengtes
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x = 0
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building_lengths_filtered = {}
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with open(resultfile, mode='x') as csv_file:
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csv_writer = csv.writer(csv_file, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
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csv_writer.writerow(['id', 'type', 'google maps', 'openstreetmaps', 'afmetingen afgerond', 'afmetingen'])
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for single_building in all_buildings:
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building_coordinates = get_building_coords(all_nodes, single_building, x)
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if squaremode is True:
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# Filter de volledige set coordinaten naar: Kleinste X, Grootste Y, Grootste X, Kleinste Y
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if not building_coordinates[x]:
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pass
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else:
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building_coordinates = sq_filter(building_coordinates[x], x)
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elif squaremode is False:
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pass
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# Haal het gebouwtype op
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building_type = all_buildings_types[x]
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for z in building_coordinates:
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building_lengths = plot_building(building_coordinates[z], x)
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# Filter de lengtes weg
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skip = False
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for single_length in building_lengths[x]:
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if skip is True:
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break
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if single_length >= lower_length:
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if single_length <= higher_length:
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csv_writer.writerow([str(x),
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str(building_type),
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'http://www.google.com/maps/place/' + str(
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building_coordinates[x][0][1]) + ',' + str(
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building_coordinates[x][0][0]),
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'http://www.openstreetmap.com/node/' + str(
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single_building[0]),
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str([round(y, 2) for y in building_lengths[x]]).strip('[]'),
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str(building_lengths[x]).strip('[]')
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])
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skip = True
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x = x + 1
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@ -0,0 +1,11 @@
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[SHARED]
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basepath = D:/openstreetmap/
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json_file = map1.json
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[XMLPARSER]
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osm_file = map1.osm
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[ANALYZER]
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lower_length = 70
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higher_length = 90
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squaremode = n
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@ -0,0 +1,16 @@
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#!/usr/bin/python3
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import osmnx as ox
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import json
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import configparser
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config = configparser.ConfigParser()
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config.read('config.ini')
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osm_file = config['SHARED']['basepath'] + config['XMLPARSER']['osm_file']
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json_file = config['SHARED']['basepath'] + config['SHARED']['json_file']
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print('converting osm file, this takes very long!')
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osm_data = ox.overpass_json_from_file(osm_file)
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print("writing to file, this will take some time!")
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with open(json_file, 'w') as writefile:
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json.dump(osm_data, writefile)
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print("done")
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Reference in New Issue