def print_relation(relation_id, ref, route_start_point, operator):
"""Print relation on map using osm api"""
api = Api()
relation = api.query('relation/{}'.format(relation_id))
node_list_to_draw = []
map_setted = False
folium_map = None
print(relation.members())
for member in relation.members():
if len(member.nodes()) > 0:
for node in member.nodes():
node_list_to_draw.append([node.lat(), node.lon()])
if not map_setted:
map_setted = True
folium_map = folium.Map(location=node_list_to_draw[0],
zoom_start=14,
tiles='openstreetmap')
folium.PolyLine(node_list_to_draw, color='green',
weight=2.5).add_to(folium_map)
node_list_to_draw = []
folium.Marker(location=route_start_point,
icon=folium.Icon(color='red')).add_to(folium_map)
folium_map.save('./routes/{}/{}.html'.format(operator, ref))
return '<iframe src="./routes/{}/{}.html"></iframe>'.format(
operator, ref)
def break_relation_into_ways(osm_id):
"""Takes a relation id and returns the way ids within."""
osm_id = int(osm_id)
osm = Api()
relation = osm.query(f"relation/{osm_id}")
way_ids = []
for way in relation.members():
way_ids.append(way.id())
return way_ids
def fetch_osm_data(groups):
"""
Fetch ways/nodes from the OSM API.
"""
osm = Api()
for i in groups.index:
way_id = groups.loc[i, "objects"].split("/")[-1]
way = osm.query(f"way/{way_id}")
latlons = [(n.lat(), n.lon()) for n in way.nodes()]
groups.loc[i, "lats"] = "|".join(map(str, [l[0] for l in latlons]))
groups.loc[i, "lons"] = "|".join(map(str, [l[1] for l in latlons]))
return groups
def fetch_osm_data(osm_id, osm_type):
"""
Fetch ways/nodes from the OSM API.
"""
osm_id = int(osm_id)
osm = Api()
if osm_type == "way":
way = osm.query(f"way/{osm_id}")
latlons = [(n.lat(), n.lon()) for n in way.nodes()]
elif osm_type == "node":
node = osm.query(f"node/{osm_id}")
latlons = [(node.lat(), node.lon())]
return latlons
def test_way():
api = Api()
x = api.query('way/108402486')
assert x.isValid()
assert x.id() == 108402486
assert x.type() == 'way'
assert len(x.nodes()) > 0
assert 1243967857 in [n.id() for n in x.nodes()]
assert abs(x.nodes()[0].lat() - 40.866) < .01
assert abs(x.nodes()[0].lon() - (-73.795)) < .01
assert abs(x.nodes(shallow=False)[1].lat() - 40.866) < .01
assert abs(x.nodes(shallow=False)[1].lon() - (-73.795)) < .01
assert int(x.version()) > 0
def test_relation():
api = Api()
x = api.query('relation/1539714')
assert x.isValid()
assert x.id() == 1539714
assert x.type() == 'relation'
assert len(x.members()) > 0
assert 108402486 in [n.id() for n in x.members()]
assert abs(x.members()[0].nodes()[0].lat() - 40.866) < .01
assert abs(x.members()[0].nodes()[0].lon() - (-73.795)) < .01
assert abs(x.members(shallow=False)[1].nodes()[0].lat() - 40.866) < .01
assert abs(x.members(shallow=False)[1].nodes()[0].lon() - (-73.795)) < .01
assert int(x.version()) > 0
def test_node():
api = Api()
x = api.query('node/42467507')
assert x.isValid()
assert x.id() == 42467507
assert x.type() == 'node'
assert len(x.tags()) > 0
assert 'highway' in x.tags()
assert x.tag('highway') is not None
assert x.tag('abcde') is None
assert abs(x.lat() - 40.7014417) < .00001
assert abs(x.lon() - (-73.9430797)) < .00001
assert int(x.version()) > 0
def get_coord(way_id):
'''Given the id of one identified structure (*way*),
from OCM, this function returns a list with its coordinates'''
#Define empty list to store coordinates
coord = []
#Execute query using OCM API
#Requires command
#from OSMPythonTools.api import Api
api = Api()
query_results = api.query("way/617488238")
nodes = query_results.nodes()
#Get the coordinates for each node and store in list
for node in nodes:
coord.append(node.geometry()['coordinates'])
return(coord)
def get_coord(uniq_id):
'''Given the id of one identified structure (*way*),
from OCM, this function returns a list with its coordinates'''
#Define empty list to store coordinates
coord = []
#Execute query using OCM API
#Requires command
#from OSMPythonTools.api import Api
api = Api()
query_results = api.query(uniq_id)
idType = uniq_id.split('/')[0]
nodes = []
if (idType == 'way'):
nodes = query_results.nodes()
elif (idType == 'relation'):
nodes = query_results.members()
#Get the coordinates for each node and store in list
for node in nodes:
coord.append(node.geometry()['coordinates'])
return (coord)
import pprint
import requests
from xml.etree import ElementTree
try:
import overpy
overpy_api = overpy.Overpass()
except:
print("\nRUN $HOME/anaconda2/bin/pip install overpy\n")
try:
import overpass
overpass_api = overpass.API()
except:
print("\nRUN $HOME/anaconda2/bin/pip install overpass\n")
try:
from OSMPythonTools.api import Api
OSMPythonTools_api = Api()
from OSMPythonTools.overpass import Overpass
OSMPythonTools_overpass = Overpass()
from OSMPythonTools.nominatim import Nominatim
OSMPythonTools_nominatim = Nominatim()
except:
print("\nCOPY ./OSMPythonTools\n")
mypydir = os.path.abspath(
os.path.dirname(inspect.getfile(inspect.currentframe())))
addpath = mypydir + "/mytools"
if addpath not in sys.path: sys.path.append(addpath)
if mypydir not in sys.path: sys.path.append(mypydir)
from readconf import get_conf, get_conf_int, get_conf_float
iprint = 2
configfile = "conf.txt"
#!/usr/bin/env python3
print('=' * 6, 'Example 1', '=' * 6)
from OSMPythonTools.api import Api
api = Api()
way = api.query('way/5887599')
print('building: %s' % way.tag('building'))
print('historic %s' % way.tag('historic'))
print('architect: %s' % way.tag('architect'))
print('website: %s' % way.tag('website'))
print('=' * 6, 'Example 2', '=' * 6)
from OSMPythonTools.overpass import Overpass
overpass = Overpass()
result = overpass.query('way["name"="Stephansdom"]; out body;')
stephansdom = result.elements()[0]
print('name:en: %s' % stephansdom.tag('name:en'))
print('address: %s %s, %s %s' %
(stephansdom.tag('addr:street'), stephansdom.tag('addr:housenumber'),
stephansdom.tag('addr:postcode'), stephansdom.tag('addr:city')))
print('building: %s' % stephansdom.tag('building'))
print('denomination: %s' % stephansdom.tag('denomination'))
print('=' * 6, 'Example 3', '=' * 6)
from OSMPythonTools.nominatim import Nominatim
nominatim = Nominatim()
def __init__(self, *args, **kwargs):
if 'OSMPythonTools.api' not in sys.modules:
from OSMPythonTools.api import Api
if not SingletonApi.__instance:
SingletonApi.__instance = Api(*args, **kwargs)
axis=0)
df_osm_stops = pd.DataFrame(
osm_stops_list,
columns=('osm_name', 'osm_merged_refs', 'osm_ref_bkv',
'osm_ref_bkk', 'osm_ref_bkktelebusz', 'osm_ref',
'osm_lat', 'osm_lon', 'osm_id', 'osm_tags', 'osm_version',
'osm_timestamp', 'osm_user', 'osm_uid', 'osm_changeset'))
logging.info('Number of elements after all OSM queries: {0}'.format(
len(df_osm_stops)))
df_osm_stops.drop_duplicates(subset='osm_id',
keep='first',
inplace=True)
logging.info(
'Number of elements after removing duplicates based on OSMID: {0}'.
format(len(df_osm_stops)))
api = Api()
for index, osm_data in df_osm_stops.iterrows():
node = api.query('node/{}'.format(osm_data['osm_id']))
try:
df_osm_stops.loc[[index], 'osm_timestamp'] = node.timestamp()
if node.uid() != None and node.user != None:
df_osm_stops.loc[[index], 'osm_uid'] = node.uid()
df_osm_stops.loc[[index], 'osm_user'] = node.user()
else:
df_osm_stops.loc[[index], 'osm_uid'] = '4579407'
df_osm_stops.loc[[index], 'osm_user'] = '******'
df_osm_stops.loc[[index], 'osm_changeset'] = node.changeset()
if node.version() != None:
df_osm_stops.loc[[index], 'osm_version'] = node.version()
else:
df_osm_stops.loc[[index], 'osm_version'] = '55'
class OSMQueryHelper:
api = Api()
nominatim = Nominatim()
overpass = Overpass()
# AREA ID
BENIN_ID = 3600192784
BORGOU_ID = 3602803880
NIKKI_COM_ID = 3602859963
NIKKI_ARR_ID = 3611176398
# RELATION ID
BENIN_ID_REL = 192784
BORGOU_ID_REL = 2803880
NIKKI_ID_REL = 2859963
# CONSTANTS
DEG_to_KM2 = 13000
DEG_to_KM = 130
def __init__(self):
None
def getAreaInOSM(self, osm_id, type: str) -> int:
if type == 'way':
return int(osm_id) + 2400000000
if type == 'relation':
return int(osm_id) + 3600000000
return None
def updateAreaIdOfDataframe(self, df: pd.DataFrame) -> None:
for index, row in df.iterrows():
if row['area_id'] == '' or int(row['area_id']) == 0:
df.at[index,
'area_id'] = self.getAreaInOSM(row['osm_id'],
row['type'])
def countBuildingsInAreaID(self, area_id: int) -> int:
buildings_query = overpassQueryBuilder(area=area_id,
elementType=['way'],
selector="building",
out='count')
buildings_res = self.overpass.query(buildings_query)
return buildings_res.countWays()
def updateBuildingsInVillage(self, village_df: pd.DataFrame) -> None:
for index, village_row in village_df.iterrows():
nb_buildings = 0
density = 0
# Check if there have already been registered
if int(village_row['nb_buildings']) < 0:
nb_buildings = self.countBuildingsInAreaID(
village_row['area_id'])
# Update the density
if nb_buildings > 0:
density = nb_buildings / \
(float(str(village_row['area']).replace(
',', '.')) * 1000000.0)
village_df.loc[index, 'nb_buildings'] = nb_buildings
village_df.loc[index, 'build_dens'] = density
village_df.loc[index, 'pop_est'] = nb_buildings * 5
def isIdalready(self, df: pd.DataFrame, _id: int) -> bool:
for row in df.iterrows():
if int(row['osm_id']) == int(_id):
return True
return False
def updateDistrictOfVillage(self, district_df: pd.DataFrame,
village_df: pd.DataFrame) -> None:
# Loop throught all villages
for i, village_row in village_df.iterrows():
# Check if there is not already a district
if village_row['district'] == '':
# Loop throught all districts to see if the village is inside the polygon
for district_row in district_df.iterrows():
point = village_row['point']
isin = district_row['polygon'].contains(point)
if isin == True:
village_df.at[i, 'district'] = district_row['name']
break
def getVillagesFromOSM(self) -> pd.DataFrame:
# Build the query
village_query = overpassQueryBuilder(
area=self.NIKKI_COM_ID,
elementType='way',
selector="'place'~'village|locality|town|city|hamlet'",
out="body geom")
residential_query = overpassQueryBuilder(
area=self.NIKKI_COM_ID,
elementType='way',
selector="'landuse'~'residential'",
out="body geom")
# Make the query
village_res = self.overpass.query(village_query)
residential_res = self.overpass.query(residential_query)
# Transform response into json
village_json = village_res.toJSON()
residential_res = residential_res.toJSON()
village_headers = [
'osm_id', 'area_id', 'type', 'place', 'district', 'name', 'link',
'lat', 'lon', 'perim', 'area', 'boundary_lat', 'boundary_lon',
'polygon', 'point', 'nb_buildings', 'building_density', 'pop_est'
]
new_village_data = []
# Loop throught the elements in the response
for ele in village_json['elements']:
geo_df = pd.DataFrame.from_records(ele['geometry'])
poly = Polygon(zip(geo_df['lon'], geo_df['lat']))
point = Point(poly.centroid.x, poly.centroid.y)
boudary_lat = str(geo_df['lat'].tolist())
boudary_lon = str(geo_df['lon'].tolist())
ele_row = [
ele.get('id', 0), # osm_id
0, # area_id
ele.get('type', ''), # type
ele['tags'].get('place', ''), # place
'', # district
ele['tags'].get('name', ''), # name
'https://www.openstreetmap.org/edit?' + \
str(ele.get('type', '')) + '=' + \
str(ele.get('id', '')), # link
str(poly.centroid.y), # lat
str(poly.centroid.x), # lon
str(poly.length * self.DEG_to_KM), # perim
str(poly.area * self.DEG_to_KM2), # area
boudary_lat, # boudary_lat
boudary_lon, # boudary_lon
poly, # polygon
point, # point
-1, # nb_buildings
0.0, # building_density
0.0, # pop_est
]
new_village_data.append(ele_row)
# Loop throught the elements in the response
for ele in residential_res['elements']:
geo_df = pd.DataFrame.from_records(ele['geometry'])
poly = Polygon(zip(geo_df['lon'], geo_df['lat']))
point = Point(poly.centroid.x, poly.centroid.y)
boudary_lat = str(geo_df['lat'].tolist())
boudary_lon = str(geo_df['lon'].tolist())
ele_row = [
ele.get('id', 0), # osm_id
0, # area_id
ele.get('type', ''), # type
ele['tags'].get('landuse', ''), # landuse
'', # district
ele['tags'].get('name', ''), # name
'https://www.openstreetmap.org/edit?' + \
str(ele.get('type', '')) + '=' + \
str(ele.get('id', '')), # link
str(poly.centroid.y), # lat
str(poly.centroid.x), # lon
str(poly.length * self.DEG_to_KM), # perim
str(poly.area * self.DEG_to_KM2), # area
boudary_lat, # boudary_lat
boudary_lon, # boudary_lon
poly, # polygon
point, # point
-1, # nb_buildings
0.0, # building_density
0.0, # population_est_building
]
new_village_data.append(ele_row)
# Create Dataframe from data
new_village_df = pd.DataFrame(new_village_data,
columns=village_headers)
return new_village_df
def getBuildingsInVillage(self, village_row_df: pd.DataFrame) -> any:
# Build the query
building_query = overpassQueryBuilder(
area=village_row_df['area_id'].values[0],
elementType='way',
selector="building",
out="geom")
# Make the query
building_res = self.overpass.query(building_query)
# Transform response into json
building_json = building_res.toJSON()
new_building_data = []
# Loop throught the elements in the response
for ele in building_json['elements']:
geo_df = pd.DataFrame.from_records(ele['geometry'])
poly = Polygon(zip(geo_df['lon'], geo_df['lat']))
point = Point(poly.centroid.x, poly.centroid.y)
boudary_lat = str(geo_df['lat'].tolist())
boudary_lon = str(geo_df['lon'].tolist())
ele_row = [
ele.get('id', 0), # osm_id
ele.get('type', ''), # type
village_row_df['district'].values[0], # district
village_row_df['name'].values[0], # village
str(poly.centroid.y), # lat
str(poly.centroid.x), # lon
str(poly.length * self.DEG_to_KM), # perim
str(poly.area * self.DEG_to_KM2), # area
boudary_lat, # boudary_lat
boudary_lon, # boudary_lon
poly, # polygon
point, # point
]
new_building_data.append(ele_row)
return new_building_data
def calculate_distance_view(request):
# initial values
nominatim = Nominatim()
global castle_ide
#areaId = nominatim.query('poland').areaId()
overpass = Overpass()
api = Api()
name = None
review = None
state = None
country = nominatim.query('germany')
locator = Photon() # (user_agent='martin_jr8')
areaId = country.areaId()
names_query = country.toJSON()
country_details = names_query[0]
country_coor_lat = country_details["lat"]
country_coor_lon = country_details["lon"]
# castles location query
castle_query = overpassQueryBuilder(area=areaId,
elementType='node',
selector='castle_type',
out='body')
castle_objects = overpass.query(castle_query)
castle_list = castle_objects.elements()
# castle_infos = []
# for castle in castle_list:
# castle_infos.append(castle.tags())
# initail folium map
m = folium.Map(location=[country_coor_lat, country_coor_lon], zoom_start=6)
for castle_loc in castle_list:
info_dict = castle_loc.tags()
castle_id = castle_loc.id()
castle_name = info_dict.get('name')
if castle_name == None:
continue
else:
folium.Marker(
[castle_loc.lat(), castle_loc.lon()],
tooltip=castle_name,
popup=folium.Popup(popup_box(info_dict.get('name'), castle_id),
max_width=500),
icon=folium.Icon(color='purple',
icon='fort-awesome',
prefix='fa')).add_to(m)
if request.user.is_authenticated:
user = Profile.objects.get(user=request.user)
loc = user.location
location = locator.geocode(loc)
l_lat = location.latitude
l_lon = location.longitude
loc_point = (l_lat, l_lon)
folium.Marker([l_lat, l_lon],
tooltip='Your Location',
popup=location,
icon=folium.Icon(color='blue', icon='home',
prefix='fa')).add_to(m)
if request.method == 'GET' and request.is_ajax():
castle_ide = request.GET.get('castle_id')
castle_data = api.query(f'node/{castle_ide}')
castle_details = castle_data.tags()
# if request.user.is_authenticated and user.location != None:
# castle_lat = castle_data.lat()
# castle_lon = castle_data.lon()
# castle_point = (castle_lat, castle_lon)
# distance = round(geodesic(loc_point, castle_point).km, 2)
# castle_details["distance"] = distance
# line = folium.PolyLine(locations=[loc_point, castle_point], weight=2, color='blue')
# m.add_child(line)
# m = m._repr_html_()
return HttpResponse(json.dumps(castle_details),
content_type="application/json")
if request.user.is_authenticated and request.method == 'POST' and request.is_ajax(
):
castleName = request.POST.get('castleName')
review = request.POST.get('review')
state = request.POST.get('state')
user = request.user
ide = castle_ide
form = LocationsModelForm()
form.save(user, castleName, review, state, ide)
folium.Marker([52.352, 6.22],
tooltip='Your Location',
popup=location,
icon=folium.Icon(color='green', icon='home',
prefix='fa')).add_to(m)
messages.info(request, 'success. Review saved')
# m = m._repr_html_()
# return redirect('/')
# return HttpResponseRedirect('measurements/main.html')
# return render(request, 'measurements/main.html', {'map': m})
# return render(request, 'measurements/main.html')
# return HttpResponse(request)
m = m._repr_html_()
context = {
# 'name': name,
# 'review': review,
# 'state': state,
# 'map': m,
# 'castles': country_coor_lat,
# 'ops' : border_objects
# 'name': requested_id
}
return render(request, 'measurements/main.html', {'map': m})
from OSMPythonTools.api import Api
from OSMPythonTools.overpass import Overpass
from mediawiki import MediaWiki
api = Api()
op = Overpass()
result = op.query('''
area(3600421007)->.searchArea;
rel["leisure"="park"](area.searchArea);
out body;''')
raw_parks = result._json['elements']
print(raw_parks[0])
for park in raw_parks:
if 'tags' in park:
# if 'wikipedia'
def user_profile(request):
if request.method == 'POST':
review = request.POST.get('labelowski')
loc_id = request.POST.get('loc_id')
delete_but = request.POST.get('delete_but')
if delete_but and 'deleting' in delete_but:
loc_id = re.sub(r'(deleting)(\d+)', r'\2', delete_but)
locations = Locations.objects.get(id=int(loc_id))
locations.review = ''
locations.save(update_fields=['review'])
if review and loc_id:
locations = Locations.objects.get(id=int(loc_id))
locations.review = review
locations.save(update_fields=['review'])
api = Api()
m = folium.Map()
user = User.objects.get(id=request.user.id)
locations = Locations.objects.filter(user=user)
# locations_dict = []
# for location in locations:
# locations_dict.append((location.name, location.review))
follow = Profile.followers.through.objects.filter(
profile_id=user.id).count()
follows = Profile.following.through.objects.filter(
profile_id=user.id).count()
review_count = 0
locations_dict = []
for location in locations:
if location.review:
review_count += 1
locations_dict.append((location.name, location.review))
castle_data = api.query(f'node/{location.ide}')
print(location.state)
if location.state == 'Wishlist':
folium.Marker(
[castle_data.lat(), castle_data.lon()],
tooltip=location.name,
icon=folium.Icon(color='lightblue',
icon='fort-awesome',
prefix='fa')).add_to(m)
else:
folium.Marker(
[castle_data.lat(), castle_data.lon()],
tooltip=location.name,
icon=folium.Icon(color='orange',
icon='fort-awesome',
prefix='fa')).add_to(m)
m = m._repr_html_()
review_form = {
'map': m,
'review_count': review_count,
'location_count': locations.count(),
'follow': follow,
'follows': follows,
'review': locations,
}
return render(request, 'profiles/user_profile.html', review_form)
import overpy
from OSMPythonTools.api import Api
from OSMPythonTools.overpass import Overpass
api = Api()
op = Overpass()
way = api.query('way/290083775')
res = op.query('way(id:29008377);')
import numpy as np
from matplotlib import image as mpimg
from matplotlib import pyplot as plt
from OSMPythonTools.api import Api
api = Api()
# load transform matrix
geo2ind = np.load("data/geo2ind.npy")
# load piste d'Argenton
way_ids = [111415872, 235094917, 526991326, 235094922, 235094924, 235094919]
track_lat = []
track_lon = []
for way_id in way_ids:
way = api.query("way/" + str(way_id))
for node in way.nodes():
track_lat.append(node.lat())
track_lon.append(node.lon())
# get track as image indices
track_col, track_row = geo2ind @ np.stack(
(track_lat, track_lon, np.ones_like(track_lat)))
# load image
general_map = mpimg.imread("img/plan_general.jpg")
# overlay OSM track over map image
plt.imshow(np.mean(general_map, axis=2), cmap="gray")
plt.plot(track_col, track_row, c="#ff7900cd")
def fetchFeatureVersion(id, version):
api = Api()
return (api.query('node/' + str(id) + '/1'))
