def test_create_edges(self):
"""
Test whether demands are associated with the appropriate supply nodes
based on proximity
"""
from next.model.models import Scenario, Node, Edge
from next.views import create_edges
sc1 = self.session.query(Scenario).filter(Scenario.name == "Test").first()
params = {'id': sc1.id, 'phase_id': 2}
request = testing.DummyRequest()
request.matchdict = params
response = create_edges(request)
demand1 = self.session.query(Node).filter(func.ST_X(Node.point) == 1.0).first()
demand2 = self.session.query(Node).filter(func.ST_X(Node.point) == -2.0).first()
supply1 = self.session.query(Node).\
filter(Edge.to_node_id == Node.id).\
filter(Edge.from_node_id == demand1.id).first()
supply2 = self.session.query(Node).\
filter(Edge.to_node_id == Node.id).\
filter(Edge.from_node_id == demand2.id).first()
supply1_coords = to_shape(supply1.point).coords[0] #(self.session)
supply2_coords = to_shape(supply2.point).coords[0] #(self.session)
self.assertTrue(supply1_coords[0] == 0.0 and supply1_coords[1] == 0.0)
self.assertTrue(supply2_coords[0] == -1.0 and supply2_coords[1] == -1.0)
def dto(self):
return {
'code': self.code,
'name': self.name,
'stationTogether1': self.station_together_1,
'lat': to_shape(self.point).x,
'long': to_shape(self.point).y
}
def show_place(ptolemy_id):
try:
session = models.create_session(models.DB_URL)
place = session.query(models.Place).get(ptolemy_id)
place.ptolemy_coords = to_shape(place.ptolemy_point)
if place.modern_point is not None:
place.modern_coords = to_shape(place.modern_point)
else:
place.modern_coords = None
return render_template('main/show_place.html', place=place)
except Exception as e:
current_app.logger.error(e.message, exc_info=e)
def find_geom(feature):
""" Locates the feature's geometry. """
if feature.geom_type == 'points':
return to_shape(feature.point.the_geom)
elif feature.geom_type == 'lines':
return to_shape(feature.line.the_geom)
elif feature.geom_type == 'multilinestrings':
return to_shape(feature.multiline.the_geom)
elif feature.geom_type == 'multipolygons':
return to_shape(feature.multipolygon.the_geom)
elif feature.geom_type == 'other_relations':
return to_shape(feature.other_rel.the_geom)
def query_and_output(self):
IntersectionsOrm = self.get_table_orm('geocode')
session = Session(self.engine)
fp = open(self.file_path, 'wb')
csv_writer = file_utils.make_csv_writer(fp, self.csv_columns)
intersections = session.query(IntersectionsOrm).filter(text('type = 2')).all()
for i, a in enumerate(intersections):
x = to_shape(a.geom).x
y = to_shape(a.geom).y
lon, lat = geo_utils.to_lon_lat(x, y)
row = {'id': i, 'name': a.address, 'zipcode': a.zip_code, 'lon': lon, 'lat': lat, 'layer_id': 'intersections'}
csv_writer.writerow(row)
def _test_update(self, mapped_class):
from geojson import Feature, Point
from geoalchemy2.elements import WKBElement
from geoalchemy2.shape import to_shape
feature = Feature(
id=1,
properties={"text": "foo", "child": "foo", "children": ["foo", "foo"]},
geometry=Point(coordinates=[53, -4]),
)
obj = mapped_class(feature)
feature = Feature(
id=2,
properties={"text": "bar", "child": "bar", "children": ["bar", "bar"]},
geometry=Point(coordinates=[55, -5]),
)
obj.__update__(feature)
self.assertEqual(obj.id, 1)
self.assertEqual(obj.text, "bar")
self.assertEqual(obj.child, "bar")
self.assertEqual(obj.children, ["bar", "bar"])
self.assertTrue(isinstance(obj.geom, WKBElement))
point = to_shape(obj.geom)
self.assertEqual(point.x, 55)
self.assertEqual(point.y, -5)
self.assertEqual(obj.geom.srid, 3000)
def elevation(self, oid, segments=None, **params):
if segments is not None and segments.isdigit():
segments = int(segments)
if segments > 500 or segments <= 0:
segments = 500
else:
segments = 100
r = cherrypy.request.app.config['DB']['map'].tables.routes.data
gen = sa.select([sa.func.generate_series(0, segments).label('i')]).alias()
field = sa.func.ST_LineInterpolatePoint(r.c.geom, gen.c.i/float(segments))
field = sa.func.ST_Collect(field)
sel = sa.select([field]).where(r.c.id == oid)\
.where(r.c.geom.ST_GeometryType() == 'ST_LineString')
res = cherrypy.request.db.execute(sel).first()
if res is None or res[0] is None:
raise cherrypy.NotFound()
ret = OrderedDict()
ret['id'] = oid
compute_elevation(to_shape(res[0]), ret)
return ret
def main():
session = create_session()
for place in session.query(Place).order_by(Place.ptolemy_name):
#point = wkb.loads(place.ptolemy_point)
point = to_shape(place.ptolemy_point)
print place.ptolemy_id, place.ptolemy_name, point.x, point.y
session.close()
def geometry_as_geojson(self):
if self.geometry is not None:
geom = json.dumps(
shapely.geometry.mapping(to_shape(self.geometry))
)
return geom
return False
def project(request):
check_project_expiration()
id = request.matchdict['project']
project = DBSession.query(Project).get(id)
if project is None:
_ = request.translate
request.session.flash(_("Sorry, this project doesn't exist"))
return HTTPFound(location=route_path('home', request))
project.locale = get_locale_name(request)
filter = and_(TaskState.project_id == id,
TaskState.state != TaskState.state_removed,
TaskState.state != TaskState.state_ready)
history = DBSession.query(TaskState) \
.filter(filter) \
.order_by(TaskState.date.desc()) \
.limit(20).all()
user_id = authenticated_userid(request)
locked_task = None
user = None
if user_id:
user = DBSession.query(User).get(user_id)
locked_task = get_locked_task(project.id, user)
features = []
for area in project.priority_areas:
features.append(Feature(geometry=shape.to_shape(area.geometry)))
return dict(page_id='project', project=project,
locked_task=locked_task,
history=history,
priority_areas=FeatureCollection(features),)
def test_to_shape_WKBElement_str():
# POINT(1 2)
e = WKBElement(str('0101000000000000000000f03f0000000000000040'))
s = to_shape(e)
assert isinstance(s, Point)
assert s.x == 1
assert s.y == 2
def as_geofeature(self):
geometry = to_shape(self.geom)
feature = Feature(
id=self.code_insee,
geometry=geometry
)
return feature
def create(self, user_token, layer):
from gbi_server.model import User
from gbi_server.model import WMTS
from gbi_server.extensions import db
user = User.by_authproxy_token(user_token)
if not user:
raise InvalidUserToken()
result = db.session.query(WMTS, ST_Transform(WMTS.view_coverage, 3857)).filter_by(name=layer).first()
if result:
wmts, view_coverage = result
if wmts and wmts.is_public:
return to_shape(view_coverage)
if user.is_customer:
couch_url = self.couchdb_url
couchdb = CouchDBBox(couch_url, '%s_%s' % (SystemConfig.AREA_BOX_NAME, user.id))
geom = couchdb.layer_extent(self.geometry_layer)
return optimize_geometry(geom) if geom else None
elif user.is_service_provider:
couch_url = self.couchdb_url
couchdb = CouchDBBox(couch_url, '%s_%s' % (SystemConfig.AREA_BOX_NAME, user.id))
geom = couchdb.layer_extent()
return optimize_geometry(geom) if geom else None
elif user.is_admin or user.is_consultant:
# permit access to everything
return box(-20037508.3428, -20037508.3428, 20037508.3428, 20037508.3428)
return None
def _load_sources(self):
public_wmts = db.session.query(WMTS, ST_Transform(WMTS.view_coverage, 3857)).filter_by(is_public=True).group_by(WMTS).all()
for wmts, view_coverage in public_wmts:
self.sources['%s_source' % wmts.name] = {
'type': 'tile',
'url': wmts.url,
'grid': 'GoogleMapsCompatible',
'coverage': {
'srs': 'EPSG:3857',
'bbox': list(to_shape(view_coverage).bounds)
}
}
self.caches['%s_cache' % wmts.name] = {
'sources': ['%s_source' % wmts.name],
'grids': ['GoogleMapsCompatible'],
'disable_storage': True
}
self.layers.append({
'name': '%s_layer' % wmts.name,
'title': wmts.title,
'sources': ['%s_cache' % wmts.name],
'min_res': self.grid.resolution(wmts.view_level_start),
# increase max_res to allow a bit of oversampling
'max_res': self.grid.resolution(wmts.view_level_end) / 2,
})
def _proto_read(self, layer):
""" Read features for the layer based on the self.request. """
proto = self._get_protocol_for_layer(layer)
if layer.public:
return proto.read(self.request)
user = self.request.user
if user is None:
raise HTTPForbidden()
cls = proto.mapped_class
geom_attr = proto.geom_attr
ras = DBSession.query(RestrictionArea.area, RestrictionArea.area.ST_SRID())
ras = ras.join(RestrictionArea.roles)
ras = ras.join(RestrictionArea.layers)
ras = ras.filter(Role.id == user.role.id)
ras = ras.filter(Layer.id == layer.id)
collect_ra = []
use_srid = -1
for ra, srid in ras.all():
if ra is None:
return proto.read(self.request)
else:
use_srid = srid
collect_ra.append(to_shape(ra))
if len(collect_ra) == 0: # pragma: no cover
raise HTTPForbidden()
filter1_ = create_filter(self.request, cls, geom_attr)
ra = cascaded_union(collect_ra)
filter2_ = ga_func.ST_Contains(
from_shape(ra, use_srid),
getattr(cls, geom_attr)
)
filter_ = filter2_ if filter1_ is None else and_(filter1_, filter2_)
return proto.read(self.request, filter=filter_)
def create_details_response(self, res):
if res is None:
raise cherrypy.NotFound()
loctags = TagStore.make_localized(res['tags'], cherrypy.request.locales)
cfg = cherrypy.request.app.config
ret = api.common.RouteDict(res)
ret['type'] = res['type'] if res.has_key('type') else 'relation'
ret['symbol_url'] = '%s/symbols/%s/%s.png' % (cfg['Global']['MEDIA_URL'],
cfg['Global']['BASENAME'],
str(res['symbol']))
ret['mapped_length'] = int(res['length'])
ret.add_if('official_length',
loctags.get_length('distance', 'length', unit='m'))
for tag in ('operator', 'note', 'description'):
ret.add_if(tag, loctags.get(tag))
ret.add_if('url', loctags.get_url())
ret.add_if('wikipedia', loctags.get_wikipedia_tags())
ret['bbox'] = to_shape(res['bbox']).bounds
if hasattr(self, '_hierarchy_list'):
for name, val in (('subroutes', True), ('superroutes', False)):
ret.add_if(name, self._hierarchy_list(ret['id'], val))
ret['tags'] = res['tags']
return ret
def serializegeofn(self, geoCol, idCol, recursif=False, columns=()):
"""
Méthode qui renvoie les données de l'objet sous la forme
d'une Feature geojson
Parameters
----------
geoCol: string
Nom de la colonne géométrie
idCol: string
Nom de la colonne primary key
recursif: boolean
Spécifie si on veut que les sous objet (relationship) soit
également sérialisé
columns: liste
liste des columns qui doivent être prisent en compte
"""
if not getattr(self, geoCol) is None:
geometry = to_shape(getattr(self, geoCol))
else:
geometry = {"type": "Point", "coordinates": [0, 0]}
feature = Feature(
id=str(getattr(self, idCol)),
geometry=geometry,
properties=self.as_dict(recursif, columns),
)
return feature
def __read__(self):
id = None
geom = None
properties = {}
for p in class_mapper(self.__class__).iterate_properties:
if isinstance(p, ColumnProperty):
if len(p.columns) != 1: # pragma: no cover
raise NotImplementedError
col = p.columns[0]
val = getattr(self, p.key)
if col.primary_key:
id = val
elif isinstance(col.type, Geometry) and col.name == self.geometry_column_to_return().name:
if hasattr(self, '_shape'):
geom = self._shape
elif val is not None:
if len(val.data) > 1000000:
raise HTTPBandwidtLimited('Feature ID %s: is too large' % self.id)
geom = to_shape(val)
elif not col.foreign_keys and not isinstance(col.type, Geometry):
properties[p.key] = val
if self.__add_properties__:
for k in self.__add_properties__:
properties[k] = getattr(self, k)
properties = self.insertLabel(properties)
return geojson.Feature(id=id, geometry=geom, properties=properties)
def __read__(self):
"""
Called by :py:attr:`.__geo_interface__`.
"""
id = None
geom = None
properties = {}
for p in class_mapper(self.__class__).iterate_properties:
if isinstance(p, ColumnProperty):
if len(p.columns) != 1: # pragma: no cover
raise NotImplementedError
col = p.columns[0]
val = getattr(self, p.key)
if col.primary_key:
id = val
elif isinstance(col.type, Geometry):
if hasattr(self, "_shape"):
geom = self._shape
elif val is not None:
geom = to_shape(val)
elif not col.foreign_keys:
properties[p.key] = val
if self.__add_properties__:
for k in self.__add_properties__:
properties[k] = getattr(self, k)
return geojson.Feature(id=id, geometry=geom, properties=properties)
def __read__(self):
id = None
geom = None
properties = {}
for p in class_mapper(self.__class__).iterate_properties:
if isinstance(p, ColumnProperty):
if len(p.columns) != 1: # pragma: no cover
raise NotImplementedError
col = p.columns[0]
val = getattr(self, p.key)
if col.primary_key:
id = val
elif (isinstance(col.type, GeometryChsdi) and
col.name == self.geometry_column_to_return().name):
if hasattr(self, '_shape'):
geom = self._shape
elif val is not None:
if len(val.data) > 1000000:
raise HTTPBandwidthLimited(
'Feature ID %s: is too large' % self.id)
geom = to_shape(val)
elif (not col.foreign_keys and
not isinstance(col.type, GeometryChsdi)):
properties[p.key] = val
properties = self.insert_label(properties)
bbox = None
try:
bbox = geom.bounds
except:
pass
return id, geom, properties, bbox
def __read__(self):
id = None
geom = None
bbox = None
properties = {}
for p in class_mapper(self.__class__).iterate_properties:
if isinstance(p, ColumnProperty):
if len(p.columns) != 1: # pragma: no cover
raise NotImplementedError
col = p.columns[0]
val = getattr(self, p.key)
if col.primary_key:
id = val
elif (isinstance(col.type, GeometryChsdi) and
col.name == self.geometry_column_to_return().name):
if hasattr(self, '_shape') and \
len(self._shape) < MAX_FEATURE_GEOMETRY_SIZE:
geom = self._shape
elif val is not None and \
len(val.data) < MAX_FEATURE_GEOMETRY_SIZE:
geom = to_shape(val)
try:
bbox = geom.bounds
except:
pass
elif (not col.foreign_keys and
not isinstance(col.type, GeometryChsdi)):
properties[p.key] = val
properties = self.insert_label(properties)
return id, geom, properties, bbox
def create_feature(cls, data, geom):
"""
Create a feature (a record of the shapefile) for the three shapefiles
by serializing an SQLAlchemy object
Parameters:
data (dict): the SQLAlchemy model serialized as a dict
geom (WKB): the geom as WKB
Returns:
void
"""
try:
geom_wkt = to_shape(geom)
geom_geojson = mapping(geom_wkt)
feature = {"geometry": geom_geojson, "properties": data}
cls.write_a_feature(feature, geom_wkt)
except AssertionError:
cls.close_files()
raise GeonatureApiError(
"Cannot create a shapefile record whithout a Geometry"
)
except Exception as e:
cls.close_files()
raise GeonatureApiError(e)
def test_to_shape_WKBElement():
e = WKBElement(b'\x01\x01\x00\x00\x00\x00\x00\x00\x00\x00'
b'\x00\xf0?\x00\x00\x00\x00\x00\x00\x00@')
s = to_shape(e)
assert isinstance(s, Point)
assert s.x == 1
assert s.y == 2
def latlon(self):
"""
Returns a shapely point
gage.latlon().y for latitude
gage.latlon().x for longitude
"""
latlon_point = to_shape(self.point)
return latlon_point
def endpoints(geometry,queryset):
start = geometry.ST_StartPoint()
end = geometry.ST_EndPoint()
return (tuple(to_shape(i) for i in j)
for j in queryset
.with_entities(start,end)
.all())
def as_geofeature(self):
geometry = to_shape(self.geom)
feature = Feature(
id=self.r,
geometry=geometry,
properties= {c.name: getattr(self, c.name) for c in self.__table__.columns if c.name!='geom'}
)
return feature
def _get_near_flights(flight, location, time, max_distance=1000):
# calculate max_distance in degrees at the earth's sphere (approximate,
# cutoff at +-85 deg)
max_distance_deg = (max_distance / METERS_PER_DEGREE) / \
math.cos(math.radians(min(abs(location.latitude), 85)))
# the distance filter is geometric only, so max_distance must be given in
# SRID units (which is degrees for WGS84). The filter will be more and more
# inaccurate further to the poles. But it's a lot faster than the geograpic
# filter...
result = Flight.query() \
.options(undefer_group('path')) \
.filter(Flight.id != flight.id) \
.filter(Flight.takeoff_time <= time) \
.filter(Flight.landing_time >= time) \
.filter(func.ST_DWithin(Flight.locations,
location.to_wkt_element(),
max_distance_deg))
result = _patch_query(result)
flights = []
for flight in result:
# find point closest to given time
closest = min(range(len(flight.timestamps)),
key=lambda x: abs((flight.timestamps[x] - time).total_seconds()))
trace = to_shape(flight.locations).coords
if closest == 0 or closest == len(trace) - 1:
point = trace[closest]
else:
# interpolate flight trace between two fixes
next_smaller = closest if flight.timestamps[closest] < time else closest - 1
next_larger = closest if flight.timestamps[closest] > time else closest + 1
dx = (time - flight.timestamps[next_smaller]).total_seconds() / \
(flight.timestamps[next_larger] - flight.timestamps[next_smaller]).total_seconds()
point_next = trace[closest]
point_prev = trace[closest]
point = [point_prev[0] + (point_next[0] - point_prev[0]) * dx,
point_prev[1] + (point_next[1] - point_prev[1]) * dx]
point_distance = location.geographic_distance(
Location(latitude=point[1], longitude=point[0]))
if point_distance > max_distance:
continue
flights.append(flight)
# limit to 5 flights
if len(flights) == 5:
break
return flights
def retrieve_osm_data():
data = osm.get('user/details').data
app.logger.debug("getting user data from osm")
if not data:
# FIXME this requires handling
return False
userxml = data.find('user')
osmid = userxml.attrib['id']
# query for existing user
if bool(models.User.query.filter(models.User.id==osmid).count()):
app.logger.debug('user exists, getting from database')
user = models.User.query.filter(models.User.id==osmid).first()
else:
app.logger.debug('user is new, create local account')
user = models.User()
user.id = osmid
user.display_name = userxml.attrib['display_name']
user.osm_account_created = userxml.attrib['account_created']
homexml = userxml.find('home')
if homexml is not None:
user.home_location = WKTElement('POINT(%s %s)' % (homexml.attrib['lon'], homexml.attrib['lat']))
else:
app.logger.debug('no home for this user')
languages = userxml.find('languages')
#FIXME parse languages and add to user.languages string field
user.changeset_count = userxml.find('changesets').attrib['count']
# get last changeset info
changesetdata = osm.get('changesets?user=%s' % (user.id)).data
try:
lastchangeset = changesetdata.find('changeset')
if 'min_lon' in lastchangeset.attrib:
wktbbox = 'POLYGON((%s %s, %s %s, %s %s, %s %s, %s %s))' % (
lastchangeset.attrib['min_lon'],
lastchangeset.attrib['min_lat'],
lastchangeset.attrib['min_lon'],
lastchangeset.attrib['max_lat'],
lastchangeset.attrib['max_lon'],
lastchangeset.attrib['max_lat'],
lastchangeset.attrib['max_lon'],
lastchangeset.attrib['min_lat'],
lastchangeset.attrib['min_lon'],
lastchangeset.attrib['min_lat'])
app.logger.debug(wktbbox)
user.last_changeset_bbox = WKTElement(wktbbox)
user.last_changeset_date = lastchangeset.attrib['created_at']
user.last_changeset_id = lastchangeset.attrib['id']
except:
app.logger.debug('could not get changeset data from OSM')
db.session.add(user)
db.session.commit()
app.logger.debug('user created')
# we need to convert the GeoAlchemy object to something picklable
if user.home_location is not None:
point = to_shape(user.home_location)
session['home_location'] = [point.x, point.y] or None
session['display_name'] = user.display_name
session['osm_id'] = user.id
session['difficulty'] = user.difficulty
def auto_fill(self, zoom):
self.zoom = zoom
geom_3857 = DBSession.execute(ST_Transform(self.area.geometry, 3857)).scalar()
geom_3857 = shape.to_shape(geom_3857)
tasks = []
for i in get_tiles_in_geom(geom_3857, zoom):
tasks.append(Task(i[0], i[1], zoom, i[2]))
self.tasks = tasks
def to_feature(self):
return Feature(
geometry=shape.to_shape(self.geometry),
id=self.id,
properties={
'state': self.cur_state.state if self.cur_state else 0,
'locked': self.cur_lock and self.cur_lock.lock
}
)
def elevation(self, oid, segments=None, **params):
if segments is not None and segments.isdigit():
segments = int(segments)
if segments > 500 or segments <= 0:
segments = 500
else:
segments = 100
ret = OrderedDict()
ret['id'] = oid
r = cherrypy.request.app.config['DB']['map'].tables.routes.data
gen = sa.select([sa.func.generate_series(0, segments).label('i')
]).alias()
field = sa.func.ST_LineInterpolatePoint(r.c.geom,
gen.c.i / float(segments))
field = sa.func.ST_Collect(field)
sel = sa.select([field]).where(r.c.id == oid)\
.where(r.c.geom.ST_GeometryType() == 'ST_LineString')
res = cherrypy.request.db.execute(sel).first()
if res is not None and res[0] is not None:
geom = to_shape(res[0])
xcoord, ycoord = zip(*((p.x, p.y) for p in geom))
geomlen = LineString(geom).length
pos = [geomlen * i / float(segments) for i in range(segments)]
compute_elevation(((xcoord, ycoord, pos), ), geom.bounds, ret)
return ret
# special treatment for multilinestrings
sel = sa.select([r.c.geom,
sa.literal_column("""ST_Length2dSpheroid(ST_MakeLine(ARRAY[ST_Points(ST_Transform(geom,4326))]),
'SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY["EPSG",\"7030\"]]')"""),
r.c.geom.ST_NPoints()])\
.where(r.c.id == oid)
res = cherrypy.request.db.execute(sel).first()
if res is not None and res[0] is not None:
geom = to_shape(res[0])
if res[2] > 10000:
geom = geom.simplify(res[2] / 500, preserve_topology=False)
elif res[2] > 4000:
geom = geom.simplify(res[2] / 1000, preserve_topology=False)
segments = []
for seg in geom:
p = seg.coords[0]
xcoords = array('d', [p[0]])
ycoords = array('d', [p[1]])
pos = array('d')
if segments:
prev = segments[-1]
pos.append(prev[2][-1] + \
Point(prev[0][-1], prev[1][-1]).distance(Point(*p)))
else:
pos.append(0.0)
for p in seg.coords[1:]:
pos.append(
pos[-1] +
Point(xcoords[-1], ycoords[-1]).distance(Point(*p)))
xcoords.append(p[0])
ycoords.append(p[1])
segments.append((xcoords, ycoords, pos))
compute_elevation(segments, geom.bounds, ret)
ret['length'] = float(res[1])
return ret
raise cherrypy.NotFound()
def test_to_shape_WKTElement():
e = WKTElement('POINT(1 2)')
s = to_shape(e)
assert isinstance(s, Point)
assert s.x == 1
assert s.y == 2
def create_gpx_response(self, oid, res):
if res is None:
raise cherrypy.NotFound()
for l in cherrypy.request.locales:
if l in res['intnames']:
name = res['intnames'][l]
break
else:
name = res['name']
root = ET.Element(
'gpx', {
'xmlns':
"http://www.topografix.com/GPX/1/1",
'creator':
"waymarkedtrails.org",
'version':
"1.1",
'xmlns:xsi':
"http://www.w3.org/2001/XMLSchema-instance",
'xsi:schemaLocation':
"http://www.topografix.com/GPX/1/1 http://www.topografix.com/GPX/1/1/gpx.xsd"
})
# metadata
meta = ET.SubElement(root, 'metadata')
ET.SubElement(meta, 'name').text = name
copy = ET.SubElement(meta,
'copyright',
author='OpenStreetMap and Contributors')
ET.SubElement(
copy, 'license').text = 'http://www.openstreetmap.org/copyright'
link = ET.SubElement(meta,
'link',
href=config.defaults.BASE_URL + '/#route?id=' +
oid)
ET.SubElement(link, 'text').text = 'Waymarked Trails'
ET.SubElement(meta, 'time').text = datetime.utcnow().isoformat()
# and the geometry
trk = ET.SubElement(root, 'trk')
geom = to_shape(res['geom'])
if geom.geom_type == 'LineString':
geom = (geom, )
for line in geom:
seg = ET.SubElement(trk, 'trkseg')
for pt in line.coords:
ET.SubElement(seg,
'trkpt',
lat="%.7f" % pt[1],
lon="%.7f" % pt[0])
# borrowed from Django's slugify
name = unicodedata.normalize('NFKC', name)
name = re.sub('[^\w\s-]', '', name, flags=re.U).strip().lower()
name = re.sub('[-\s]+', '-', name, flags=re.U)
cherrypy.response.headers['Content-Type'] = 'application/gpx+xml'
cherrypy.response.headers[
'Content-Disposition'] = 'attachment; filename=%s.gpx' % name
return '<?xml version="1.0" encoding="UTF-8" standalone="no" ?>\n\n'.encode('utf-8') \
+ ET.tostring(root, encoding="UTF-8")
def alt(self):
"""Altitude [m]"""
return to_shape(self.coordinates).coords[:][0][2]
def geo(self):
data = mapping(to_shape(self._geo))
return data
def process(value):
if value:
return to_shape(to_wkbelement(value))
else:
return None
def get_geojson_feature(wkb):
''' retourne une feature geojson à partir d'un WKB'''
geometry = to_shape(wkb)
feature = Feature(geometry=geometry, properties={})
return feature
def as_dict(self):
return {
'id': self.id,
'name': self.name,
'shape': mapping(to_shape(self.shape))
}
def bounds(self):
if self.extent is None:
return None
return to_shape(self.extent).bounds
def location(self):
if self.location_wkt is None:
return None
coords = to_shape(self.location_wkt)
return Location(latitude=coords.y, longitude=coords.x)
def test_model():
app, db, admin = setup()
GeoModel = create_models(db)
db.create_all()
GeoModel.query.delete()
db.session.commit()
view = ModelView(GeoModel, db.session)
admin.add_view(view)
eq_(view.model, GeoModel)
eq_(view._primary_key, 'id')
# Verify form
eq_(view._create_form_class.point.field_class, GeoJSONField)
eq_(view._create_form_class.point.kwargs['geometry_type'], "POINT")
eq_(view._create_form_class.line.field_class, GeoJSONField)
eq_(view._create_form_class.line.kwargs['geometry_type'], "LINESTRING")
eq_(view._create_form_class.polygon.field_class, GeoJSONField)
eq_(view._create_form_class.polygon.kwargs['geometry_type'], "POLYGON")
eq_(view._create_form_class.multi.field_class, GeoJSONField)
eq_(view._create_form_class.multi.kwargs['geometry_type'], "MULTIPOINT")
# Make some test clients
client = app.test_client()
rv = client.get('/admin/geomodel/')
eq_(rv.status_code, 200)
rv = client.get('/admin/geomodel/new/')
eq_(rv.status_code, 200)
rv = client.post(
'/admin/geomodel/new/',
data={
"name":
"test1",
"point":
'{"type": "Point", "coordinates": [125.8, 10.0]}',
"line":
'{"type": "LineString", "coordinates": [[50.2345, 94.2], [50.21, 94.87]]}',
"polygon":
('{"type": "Polygon", "coordinates": [[[100.0, 0.0], [101.0, 0.0],'
' [101.0, 1.0], [100.0, 1.0], [100.0, 0.0]]]}'),
"multi":
'{"type": "MultiPoint", "coordinates": [[100.0, 0.0], [101.0, 1.0]]}',
})
eq_(rv.status_code, 302)
model = db.session.query(GeoModel).first()
eq_(model.name, "test1")
eq_(to_shape(model.point).geom_type, "Point")
eq_(list(to_shape(model.point).coords), [(125.8, 10.0)])
eq_(to_shape(model.line).geom_type, "LineString")
eq_(list(to_shape(model.line).coords), [(50.2345, 94.2), (50.21, 94.87)])
eq_(to_shape(model.polygon).geom_type, "Polygon")
eq_(list(to_shape(model.polygon).exterior.coords), [(100.0, 0.0),
(101.0, 0.0),
(101.0, 1.0),
(100.0, 1.0),
(100.0, 0.0)])
eq_(to_shape(model.multi).geom_type, "MultiPoint")
eq_(len(to_shape(model.multi).geoms), 2)
eq_(list(to_shape(model.multi).geoms[0].coords), [(100.0, 0.0)])
eq_(list(to_shape(model.multi).geoms[1].coords), [(101.0, 1.0)])
rv = client.get('/admin/geomodel/')
eq_(rv.status_code, 200)
html = rv.data.decode('utf-8')
pattern = r'(.|\n)+({.*"type": ?"Point".*})</textarea>(.|\n)+'
group = re.match(pattern, html).group(2)
p = json.loads(group)
eq_(p['coordinates'][0], 125.8)
eq_(p['coordinates'][1], 10.0)
url = '/admin/geomodel/edit/?id=%s' % model.id
rv = client.get(url)
eq_(rv.status_code, 200)
data = rv.data.decode('utf-8')
ok_(r'{"type":"MultiPoint","coordinates":[[100,0],[101,1]]}</textarea>'
in data or
r'{"type":"MultiPoint","coordinates":[[100,0],[101,1]]}'
in data)
# rv = client.post(url, data={
# "name": "edited",
# "point": '{"type": "Point", "coordinates": [99.9, 10.5]}',
# "line": '', # set to NULL in the database
# })
# eq_(rv.status_code, 302)
#
# model = db.session.query(GeoModel).first()
# eq_(model.name, "edited")
# eq_(to_shape(model.point).geom_type, "Point")
# eq_(list(to_shape(model.point).coords), [(99.9, 10.5)])
# eq_(to_shape(model.line), None)
# eq_(to_shape(model.polygon).geom_type, "Polygon")
# eq_(list(to_shape(model.polygon).exterior.coords),
# [(100.0, 0.0), (101.0, 0.0), (101.0, 1.0), (100.0, 1.0), (100.0, 0.0)])
# eq_(to_shape(model.multi).geom_type, "MultiPoint")
# eq_(len(to_shape(model.multi).geoms), 2)
# eq_(list(to_shape(model.multi).geoms[0].coords), [(100.0, 0.0)])
# eq_(list(to_shape(model.multi).geoms[1].coords), [(101.0, 1.0)])
url = '/admin/geomodel/delete/?id=%s' % model.id
rv = client.post(url)
eq_(rv.status_code, 302)
eq_(db.session.query(GeoModel).count(), 0)
def convert_point_to_lat_lon(self, point):
shape = to_shape(point)
return {'lat': shape.y, 'lon': shape.x}
def _get_near_flights(flight, location, time, max_distance=1000):
# calculate max_distance in degrees at the earth's sphere (approximate,
# cutoff at +-85 deg)
max_distance_deg = (max_distance / METERS_PER_DEGREE) / math.cos(
math.radians(min(abs(location.latitude), 85)))
# the distance filter is geometric only, so max_distance must be given in
# SRID units (which is degrees for WGS84). The filter will be more and more
# inaccurate further to the poles. But it's a lot faster than the geograpic
# filter...
result = (Flight.query().options(undefer_group("path")).filter(
Flight.id != flight.id).filter(Flight.takeoff_time <= time).filter(
Flight.landing_time >= time).filter(
func.ST_DWithin(Flight.locations, location.to_wkt_element(),
max_distance_deg)))
result = _patch_query(result)
flights = []
for flight in result:
# find point closest to given time
closest = min(
range(len(flight.timestamps)),
key=lambda x: abs((flight.timestamps[x] - time).total_seconds()),
)
trace = to_shape(flight.locations).coords
if closest == 0 or closest == len(trace) - 1:
point = trace[closest]
else:
# interpolate flight trace between two fixes
next_smaller = closest if flight.timestamps[
closest] < time else closest - 1
next_larger = closest if flight.timestamps[
closest] > time else closest + 1
dx = (time - flight.timestamps[next_smaller]).total_seconds() / (
flight.timestamps[next_larger] -
flight.timestamps[next_smaller]).total_seconds()
point_next = trace[closest]
point_prev = trace[closest]
point = [
point_prev[0] + (point_next[0] - point_prev[0]) * dx,
point_prev[1] + (point_next[1] - point_prev[1]) * dx,
]
point_distance = location.geographic_distance(
Location(latitude=point[1], longitude=point[0]))
if point_distance > max_distance:
continue
flights.append(flight)
# limit to 5 flights
if len(flights) == 5:
break
return flights
def point(self):
return to_shape(self.coordinates)
from indalsig import db
from indalsig.db.dao import PostcodeDAO, WayDAO
from geopandas.geodataframe import GeoDataFrame, GeoSeries
from geoalchemy2.shape import to_shape
import matplotlib.pyplot as plt
session = db.Session()
postcode_dao = PostcodeDAO(session)
way_dao = WayDAO(session)
# Representación de las calles con GeoSeries
# Extraemos todas las calles
ways = []
for way in way_dao.getAll():
ways.append(to_shape(way.geom))
wgs = GeoSeries(ways)
base = wgs.plot(color="blue")
qfilter = {'ad_type': 'RENT', 'asset_type': 'GARAGE'}
prices = session.execute(
'SELECT postcode, avg_price FROM inmosig_average_prices WHERE ad_type = :ad_type AND '
'asset_type = :asset_type', qfilter)
gdf = GeoDataFrame(columns=['geometry', 'price', 'postcode'])
for price in prices.fetchall():
postcode = postcode_dao.search_by_postcode(price[0])
if postcode is not None:
gdf = gdf.append(
{
'geometry': to_shape(postcode.geom),
def bbox(self):
return to_shape(self._bbox).bounds
def check_wkb(wkb, x, y):
pt = shape.to_shape(wkb)
assert round(pt.x, 5) == x
assert round(pt.y, 5) == y
def as_geofeature(self, data, columns=None):
if getattr(data, self.geometry_field) is not None:
geometry = to_shape(getattr(data, self.geometry_field))
return Feature(geometry=geometry,
properties=self.as_dict(data, columns))
def project_edit(request):
id = request.matchdict['project']
project = DBSession.query(Project).get(id)
licenses = DBSession.query(License).all()
if 'form.submitted' in request.params:
for locale, translation in project.translations.iteritems():
with project.force_locale(locale):
for field in ['name', 'short_description', 'description',
'instructions', 'per_task_instructions']:
translated = '_'.join([field, locale])
if translated in request.params:
setattr(project, field, request.params[translated])
DBSession.add(project)
for p in ['changeset_comment', 'entities_to_map', 'imagery']:
if p in request.params:
setattr(project, p, request.params[p])
if 'license_id' in request.params and \
request.params['license_id'] != "":
license_id = int(request.params['license_id'])
license = DBSession.query(License).get(license_id)
project.license = license
if 'private' in request.params and \
request.params['private'] == 'on':
project.private = True
else:
project.private = False
project.status = request.params['status']
project.priority = request.params['priority']
if request.params.get('due_date', '') != '':
due_date = request.params.get('due_date')
due_date = datetime.datetime.strptime(due_date, "%m/%d/%Y")
project.due_date = due_date
else:
project.due_date = None
if 'josm_preset' in request.params:
josm_preset = request.params.get('josm_preset')
if hasattr(josm_preset, 'value'):
project.josm_preset = josm_preset.value.decode('UTF-8')
# Remove the previously set priority areas
for area in project.priority_areas:
DBSession.delete(area)
project.priority_areas[:] = []
DBSession.flush()
priority_areas = request.params.get('priority_areas', '')
if priority_areas != '':
geoms = parse_geojson(priority_areas)
for geom in geoms:
geom = 'SRID=4326;%s' % geom.wkt
project.priority_areas.append(PriorityArea(geom))
DBSession.add(project)
return HTTPFound(location=route_path('project', request,
project=project.id))
translations = project.translations.items()
features = []
for area in project.priority_areas:
features.append(Feature(geometry=shape.to_shape(area.geometry)))
return dict(page_id='project_edit', project=project, licenses=licenses,
translations=translations,
priority_areas=FeatureCollection(features))
def lon(self):
"""Longitude"""
return to_shape(self.coordinates).coords[:][0][0]
def to_shapely(row, name):
return shape.to_shape(row[name]) if row[name] is not None else None
def as_dict(self):
return {
'id': self.id,
'location': mapping(to_shape(self.location)),
'last_updated': self.last_updated
}
###############################################################################
print("Database connection established.")
# import white area including coastdat id
ww_isection = session.query(CosmoClmGrid.gid,
func.ST_Intersection(CosmoClmGrid.geom,
GeoPotArea.geom)).\
filter(func.ST_Intersects(GeoPotArea.geom, CosmoClmGrid.geom))
ww_isection = [(wid, loads(bytes(geom.data))) for wid, geom in ww_isection]
# import grid districts
gds = session.query(GridDistrict.subst_id,
func.ST_Transform(GridDistrict.geom, 4326))
gds = [(sid, to_shape(geom)) for sid, geom in gds]
# import weadata data for Germany (roughly bounding box in cosmoclmgrid)
weadata = session.query(Spatial.gid, Timeseries.tsarray).\
join(Located, Located.spatial_id == Spatial.gid).\
join(Timeseries, Located.data_id == Timeseries.id).\
join(Scheduled, Scheduled.data_id == Timeseries.id).\
join(Year, Scheduled.time_id == Year.year).\
join(Typified, Typified.data_id == Timeseries.id).\
join(Datatype, Typified.type_id == Datatype.id).\
filter(Year.year == 2011).\
filter(and_(Spatial.gid / 1000 > 1115, Spatial.gid / 1000 < 1144,
Spatial.gid % 1000 > 70, Spatial.gid % 1000 < 110)).\
filter(Datatype.name == "WSS_10M")
weadata = weadata.all()
def start_geojson():
pools = Carpool.query
if request.args.get('ignore_prior') != 'false':
pools = pools.filter(Carpool.leave_time >= datetime.datetime.utcnow())
try:
near_lat = request.args.get('near.lat', type=float)
near_lon = request.args.get('near.lon', type=float)
except ValueError:
abort(400, "Invalid lat/lon format")
try:
near_radius = request.args.get('near.radius', type=int)
except ValueError:
abort(400, "Invalid radius format")
if near_lat and near_lon:
center = from_shape(Point(near_lon, near_lat), srid=4326)
if near_radius:
# We're going to say that radius is in meters.
# The conversion factor here is based on a 40deg latitude
# (roughly around Virginia)
radius_degrees = near_radius / 111034.61
pools = pools.filter(
func.ST_Distance(Carpool.from_point, center) <= radius_degrees)
pools = pools.order_by(func.ST_Distance(Carpool.from_point, center))
riders = db.session.query(RideRequest.carpool_id,
func.count(RideRequest.id).label('pax')).\
filter(RideRequest.status == 'approved').\
group_by(RideRequest.carpool_id).\
subquery('riders')
pools = pools.filter(Carpool.from_point.isnot(None)).\
outerjoin(riders, Carpool.id == riders.c.carpool_id).\
filter(riders.c.pax.is_(None) | (riders.c.pax < Carpool.max_riders))
features = []
dt_format = current_app.config.get('DATE_FORMAT')
# get the current user's confirmed carpools
confirmed_carpools = []
if not current_user.is_anonymous:
rides = RideRequest.query.filter(RideRequest.status == 'approved').\
filter(RideRequest.person_id == current_user.id)
for ride in rides:
confirmed_carpools.append(ride.carpool_id)
for pool in pools:
if (pool.from_point is None) or pool.destination.hidden:
continue
# show real location to driver and confirmed passenger
geometry = mapping(to_shape(pool.from_point))
if not current_user.is_anonymous and \
(pool.driver_id == current_user.id or pool.id in confirmed_carpools):
is_approximate_location = False
else:
is_approximate_location = True
geometry = approximate_location(geometry)
features.append({
'type':
'Feature',
'geometry':
geometry,
'id':
url_for('carpool.details', uuid=pool.uuid, _external=True),
'properties': {
'from_place': escape(pool.from_place),
'to_place': escape(pool.destination.name),
'seats_available': pool.seats_available,
'leave_time': pool.leave_time.isoformat(),
'return_time': pool.return_time.isoformat(),
'leave_time_human': pool.leave_time.strftime(dt_format),
'return_time_human': pool.return_time.strftime(dt_format),
'driver_gender': escape(pool.driver.gender),
'is_approximate_location': is_approximate_location,
'hidden': pool.destination.hidden
},
})
feature_collection = {'type': 'FeatureCollection', 'features': features}
return jsonify(feature_collection)
def fulltextsearch(self) -> FeatureCollection:
lang = locale_negotiator(self.request)
try:
language = self.languages[lang]
except KeyError:
return HTTPInternalServerError(
detail=f"{lang!s} not defined in languages")
if "query" not in self.request.params:
return HTTPBadRequest(detail="no query")
terms = self.fts_normalizer(self.request.params.get("query"))
maxlimit = self.settings.get("maxlimit", 200)
try:
limit = int(
self.request.params.get("limit",
self.settings.get("defaultlimit", 30)))
except ValueError:
return HTTPBadRequest(detail="limit value is incorrect")
limit = min(limit, maxlimit)
try:
partitionlimit = int(self.request.params.get("partitionlimit", 0))
except ValueError:
return HTTPBadRequest(detail="partitionlimit value is incorrect")
partitionlimit = min(partitionlimit, maxlimit)
terms_array = [
IGNORED_STARTUP_CHARS_RE.sub("", elem)
for elem in IGNORED_CHARS_RE.sub(" ", terms).split(" ")
]
terms_ts = "&".join(w + ":*" for w in terms_array if w != "")
_filter = FullTextSearch.ts.op("@@")(func.to_tsquery(
language, terms_ts))
if self.request.user is None:
_filter = and_(_filter, FullTextSearch.public.is_(True))
else:
_filter = and_(
_filter,
or_(
FullTextSearch.public.is_(True),
FullTextSearch.role_id.is_(None),
FullTextSearch.role_id.in_(
[r.id for r in self.request.user.roles]),
),
)
if "interface" in self.request.params:
_filter = and_(
_filter,
or_(
FullTextSearch.interface_id.is_(None),
FullTextSearch.interface_id == self._get_interface_id(
self.request.params["interface"]),
),
)
else:
_filter = and_(_filter, FullTextSearch.interface_id.is_(None))
_filter = and_(
_filter,
or_(FullTextSearch.lang.is_(None), FullTextSearch.lang == lang))
rank_system = self.request.params.get("ranksystem")
if rank_system == "ts_rank_cd":
# The numbers used in ts_rank_cd() below indicate a normalization method.
# Several normalization methods can be combined using |.
# 2 divides the rank by the document length
# 8 divides the rank by the number of unique words in document
# By combining them, shorter results seem to be preferred over longer ones
# with the same ratio of matching words. But this relies only on testing it
# and on some assumptions about how it might be calculated
# (the normalization is applied two times with the combination of 2 and 8,
# so the effect on at least the one-word-results is therefore stronger).
rank = func.ts_rank_cd(FullTextSearch.ts,
func.to_tsquery(language, terms_ts), 2 | 8)
else:
# Use similarity ranking system from module pg_trgm.
rank = func.similarity(FullTextSearch.label, terms)
if partitionlimit:
# Here we want to partition the search results based on
# layer_name and limit each partition.
row_number = (func.row_number().over(
partition_by=FullTextSearch.layer_name,
order_by=(desc(rank),
FullTextSearch.label)).label("row_number"))
sub_query = DBSession.query(FullTextSearch).add_columns(
row_number).filter(_filter).subquery()
query = DBSession.query(
sub_query.c.id,
sub_query.c.label,
sub_query.c.params,
sub_query.c.layer_name,
sub_query.c.the_geom,
sub_query.c.actions,
)
query = query.filter(sub_query.c.row_number <= partitionlimit)
else:
query = DBSession.query(FullTextSearch).filter(_filter)
query = query.order_by(desc(rank))
query = query.order_by(FullTextSearch.label)
query = query.limit(limit)
objects = query.all()
features = []
for o in objects:
properties = {"label": o.label}
if o.layer_name is not None:
properties["layer_name"] = o.layer_name
if o.params is not None:
properties["params"] = o.params
if o.actions is not None:
properties["actions"] = o.actions
if o.actions is None and o.layer_name is not None:
properties["actions"] = [{
"action": "add_layer",
"data": o.layer_name
}]
if o.the_geom is not None:
geom = to_shape(o.the_geom)
feature = Feature(id=o.id,
geometry=geom,
properties=properties,
bbox=geom.bounds)
features.append(feature)
else:
feature = Feature(id=o.id, properties=properties)
features.append(feature)
return FeatureCollection(features)
def shape(self):
return to_shape(self.geom)
def __get__(self, obj, type=None):
geom = obj.__getattribute__(self.column)
return geom is not None and shape.to_shape(obj.geom) or None
def parse_boundary(cls, value: WKBElement) -> Any:
if value:
return geometry.mapping(to_shape(value))
def lat(self):
"""Latitude"""
return to_shape(self.coordinates).coords[:][0][1]
def locations(self):
return [
Location(longitude=location[0], latitude=location[1])
for location in to_shape(self._locations).coords
]