def test_caching(air_quality_observed, monkeypatch):
air_quality_observed.pop('location')
air_quality_observed['address']['value'] = {
"streetAddress": "IJzerlaan",
"postOfficeBoxNumber": "18",
"addressLocality": "Antwerpen",
"addressCountry": "BE",
}
from geocoding.geocache import temp_geo_cache
cache = next(temp_geo_cache(REDIS_HOST, REDIS_PORT))
assert len(cache.redis.keys('*')) == 0
try:
r = geocoding.add_location(air_quality_observed, cache=cache)
assert r is air_quality_observed
assert 'location' in r
assert r['location']['type'] == 'geo:point'
assert r['location']['value'] == '51.235646, 4.420609'
assert len(cache.redis.keys('*')) == 1
# Make sure no external calls are made
monkeypatch.delattr("requests.sessions.Session.request")
r.pop('location')
r = geocoding.add_location(air_quality_observed, cache=cache)
assert 'location' in r
assert r['location']['type'] == 'geo:point'
assert r['location']['value'] == '51.235646, 4.420609'
assert len(cache.redis.keys('*')) == 1
finally:
cache.redis.flushall()
def test_entity_add_country_shape(air_quality_observed):
air_quality_observed.pop('location')
air_quality_observed['address']['value'] = {
"addressCountry": "MX",
}
r = geocoding.add_location(air_quality_observed)
assert r is air_quality_observed
assert 'location' in r
assert r['location']['type'] == 'geo:json'
geo = r['location']['value']
assert geo['type'] == 'MultiPolygon'
assert len(geo['coordinates']) == pytest.approx(12, abs=2)
def test_entity_add_city_shape(air_quality_observed):
air_quality_observed.pop('location')
air_quality_observed['address']['value'] = {
"addressCountry": "MX",
"addressLocality": "Ciudad de México",
}
r = geocoding.add_location(air_quality_observed)
assert r is air_quality_observed
assert 'location' in r
assert r['location']['type'] == 'geo:json'
geo = r['location']['value']
assert geo['type'] == 'Polygon'
assert len(geo['coordinates']) == 1
assert len(geo['coordinates'][0]) == pytest.approx(2186, abs=100)
def test_entity_add_street_line(air_quality_observed):
air_quality_observed.pop('location')
air_quality_observed['address']['value'] = {
"streetAddress": "Acolman",
"addressLocality": "Ciudad de México",
"addressCountry": "MX",
}
r = geocoding.add_location(air_quality_observed)
assert r is air_quality_observed
assert 'location' in r
assert r['location']['type'] == 'geo:json'
geo = r['location']['value']
assert geo['type'] == 'LineString'
assert len(geo['coordinates']) == pytest.approx(12, abs=2)
def test_entity_add_point_negative_coord(air_quality_observed):
air_quality_observed.pop('location')
air_quality_observed['address']['value'] = {
"streetAddress": "Acolman",
"postOfficeBoxNumber": "22",
"addressLocality": "Ciudad de México",
"addressCountry": "MX",
}
r = geocoding.add_location(air_quality_observed)
assert r is air_quality_observed
assert 'location' in r
assert r['location']['type'] == 'geo:point'
geo = r['location']['value']
assert geo == '19.6389474, -98.9109537'
def test_entity_add_point(air_quality_observed):
air_quality_observed.pop('location')
air_quality_observed['address']['value'] = {
"streetAddress": "IJzerlaan",
"postOfficeBoxNumber": "18",
"addressLocality": "Antwerpen",
"addressCountry": "BE",
}
r = geocoding.add_location(air_quality_observed)
assert r is air_quality_observed
assert 'location' in r
assert r['location']['type'] == 'geo:point'
geo = r['location']['value']
assert geo == '51.235646, 4.420609'
def test_entity_add_point_negative_coord(air_quality_observed):
air_quality_observed.pop('location')
air_quality_observed['address']['value'] = {
"streetAddress": "Acolman",
"postOfficeBoxNumber": "22",
"addressLocality": "Ciudad de México",
"addressCountry": "MX",
}
r = geocoding.add_location(air_quality_observed)
assert r is air_quality_observed
assert 'location' in r
assert r['location']['type'] == 'geo:point'
lon, lat = r['location']['value'].split(',')
assert float(lon) == pytest.approx(19.6389474, abs=1e-2)
assert float(lat) == pytest.approx(-98.9109537, abs=1e-2)
def test_entity_add_point(air_quality_observed):
air_quality_observed.pop('location')
air_quality_observed['address']['value'] = {
"streetAddress": "IJzerlaan",
"postOfficeBoxNumber": "18",
"addressLocality": "Antwerpen",
"addressCountry": "BE",
}
r = geocoding.add_location(air_quality_observed)
assert r is air_quality_observed
assert 'location' in r
assert r['location']['type'] == 'geo:point'
lon, lat = r['location']['value'].split(',')
assert float(lon) == pytest.approx(51.2358357, abs=1e-2)
assert float(lat) == pytest.approx(4.4201911, abs=1e-2)
