def test_serialization():
class TestSchema(Schema):
location = fields.Location()
data = TestSchema().dump(
dict(location=Location(longitude=7, latitude=51))).data
assert data['location'] == [7, 51]
def test_geoid():
# test data from http://earth-info.nga.mil/GandG/wgs84/gravitymod/egm96/egm96.html
assert egm96_height(Location(38.6281550, 269.7791550)) == pytest.approx(-31.629, abs=0.25)
assert egm96_height(Location(-14.6212170, 305.0211140)) == pytest.approx(-2.966, abs=0.25)
assert egm96_height(Location(46.8743190, 102.4487290)) == pytest.approx(-43.572, abs=0.25)
assert egm96_height(Location(-23.6174460, 133.8747120)) == pytest.approx(15.868, abs=0.25)
assert egm96_height(Location(38.6254730, 359.9995000)) == pytest.approx(50.065, abs=0.5)
assert egm96_height(Location(-.4667440, .0023000)) == pytest.approx(17.330, abs=0.25)
def update_cache():
return Location.get_clustered_locations(Flight.takeoff_location_wkt,
filter=(Flight.pilot == self.user))
# -*- coding: utf-8 -*-
import pytest
from skylines.lib.geo import geographic_distance
from skylines.model.geo import Location
@pytest.mark.parametrize(
"loc1,loc2,expected",
[
(
Location(latitude=0.0, longitude=0.0),
Location(latitude=0.0, longitude=0.0),
0.0,
),
(
Location(latitude=38.898556, longitude=-77.037852),
Location(latitude=38.897147, longitude=-77.043934),
548.812,
),
],
)
def test_geographic_distance(loc1, loc2, expected):
result = geographic_distance(loc1, loc2)
assert result == pytest.approx(expected)
def landing_location(self):
if self.landing_location_wkt is None:
return None
wkt = DBSession.scalar(self.landing_location_wkt.wkt)
return Location.from_wkt(wkt)
def takeoff_location(self):
if self.takeoff_location_wkt is None:
return None
wkt = DBSession.scalar(self.takeoff_location_wkt.wkt)
return Location.from_wkt(wkt)
def get_takeoff_locations(self):
return Location.get_clustered_locations(Flight.takeoff_location_wkt,
filter=(Flight.pilot == self.user))
