def aggregate_station_obs(self):
station = self.station
obs_data = self.obs_data
def get_nan(name):
value = getattr(station, name, None)
return numpy.nan if value is None else value
positions = numpy.append(obs_data['positions'], [
(get_nan('lat'), get_nan('lon')),
(get_nan('max_lat'), get_nan('max_lon')),
(get_nan('min_lat'), get_nan('min_lon')),
], axis=0)
max_lat, max_lon = numpy.nanmax(positions, axis=0)
min_lat, min_lon = numpy.nanmin(positions, axis=0)
if station.lat is None or station.lon is None:
old_weight = 0.0
else:
old_weight = min((station.weight or 0.0), self.MAX_OLD_WEIGHT)
lat = ((obs_data['lat'] * obs_data['weight'] +
(station.lat or 0.0) * old_weight) /
(obs_data['weight'] + old_weight))
lon = ((obs_data['lon'] * obs_data['weight'] +
(station.lon or 0.0) * old_weight) /
(obs_data['weight'] + old_weight))
radius = circle_radius(lat, lon, max_lat, max_lon, min_lat, min_lon)
region = station.region
if (region and not GEOCODER.in_region(lat, lon, region)):
# reset region if it no longer matches
region = None
if not region:
region = GEOCODER.region(lat, lon)
samples, weight = self.bounded_samples_weight(
(station.samples or 0) + obs_data['samples'],
(station.weight or 0.0) + obs_data['weight'])
return {
'lat': lat, 'lon': lon,
'max_lat': float(max_lat), 'min_lat': float(min_lat),
'max_lon': float(max_lon), 'min_lon': float(min_lon),
'radius': radius, 'region': region,
'samples': samples, 'weight': weight,
}
def region(self, ctr_lat, ctr_lon, mcc, cells):
region = None
regions = [cell.region for cell in cells]
unique_regions = set(regions)
if len(unique_regions) == 1:
region = regions[0]
else:
# Choose the area region based on the majority of cells
# inside each region.
grouped_regions = defaultdict(int)
for reg in regions:
grouped_regions[reg] += 1
max_count = max(grouped_regions.values())
max_regions = sorted([k for k, v in grouped_regions.items()
if v == max_count])
# If we get a tie here, randomly choose the first.
region = max_regions[0]
if len(max_regions) > 1:
# Try to break the tie based on the center of the area,
# but keep the randomly chosen region if this fails.
area_region = GEOCODER.region_for_cell(
ctr_lat, ctr_lon, mcc)
if area_region is not None:
region = area_region
return region
def aggregate_obs(self):
positions = numpy.array(
[(obs.lat, obs.lon) for obs in self.observations],
dtype=numpy.double)
max_lat, max_lon = positions.max(axis=0)
min_lat, min_lon = positions.min(axis=0)
box_distance = distance(min_lat, min_lon, max_lat, max_lon)
if box_distance > self.MAX_DIST_METERS:
return None
weights = numpy.array(
[obs.weight for obs in self.observations],
dtype=numpy.double)
lat, lon = numpy.average(positions, axis=0, weights=weights)
lat = float(lat)
lon = float(lon)
radius = circle_radius(lat, lon, max_lat, max_lon, min_lat, min_lon)
region = GEOCODER.region(lat, lon)
samples, weight = self.bounded_samples_weight(
len(self.observations), float(weights.sum()))
return {
'positions': positions, 'weights': weights,
'lat': lat, 'lon': lon,
'max_lat': float(max_lat), 'min_lat': float(min_lat),
'max_lon': float(max_lon), 'min_lon': float(min_lon),
'radius': radius, 'region': region,
'samples': samples, 'weight': weight,
}
def radius(self, code, subs=None, city=None, default=REGION_RADIUS):
"""
Return the best radius guess for the given region code.
:param code: A two-letter region code.
:type code: str
:param subs: A list of ISO subdivision codes.
:type code: list
:param city: A geoname_id from a city record or None.
:type city: int
:returns: A tuple of radius/region radius guesses in meters.
:rtype: tuple
"""
region_radius = GEOCODER.region_max_radius(code)
if region_radius is None:
# No region code or no successful radius lookup
region_radius = default
# Use region radius as an upper bound for city / subdivision
# radius for really small regions. E.g. Vatican City cannot
# be larger than the Vatican as a region.
radius = region_radius
if subs:
radius = min(SUB_RADII.get(code, SUB_RADIUS), radius)
if city:
radius = min(CITY_RADII.get(city, CITY_RADIUS), radius)
return (radius, region_radius)
def validator(self, node, cstruct):
super(ValidCellObservationSchema, self).validator(node, cstruct)
in_region = GEOCODER.in_region_mcc(
cstruct['lat'], cstruct['lon'], cstruct['mcc'])
if not in_region:
raise colander.Invalid(node, (
'Lat/lon must be inside one of the regions for the MCC'))
def validator(self, node, cstruct):
super(ValidReportSchema, self).validator(node, cstruct)
for field in ('lat', 'lon'):
if (cstruct[field] is None or
cstruct[field] is colander.null):
raise colander.Invalid(node, 'Report %s is required.' % field)
if not GEOCODER.any_region(cstruct['lat'], cstruct['lon']):
raise colander.Invalid(node, 'Lat/lon must be inside a region.')
def test_ambiguous_mcc(self):
regions = GEOCODER.regions_for_mcc(234, metadata=True)
cell = CellFactory.build(mcc=234)
query = self.model_query(cells=[cell])
results = self.source.search(query)
self.check_model_result(results, regions)
self.check_stats(counter=[
(self.api_type + '.source',
['key:test', 'region:none', 'source:internal',
'accuracy:low', 'status:hit']),
])
def test_no_match(self):
assert GEOCODER.regions_for_mcc(None) == []
assert GEOCODER.regions_for_mcc(None, metadata=True) == []
assert GEOCODER.regions_for_mcc(1) == []
assert GEOCODER.regions_for_mcc(1, metadata=True) == []
assert GEOCODER.regions_for_mcc('') == []
assert GEOCODER.regions_for_mcc('1', metadata=True) == []
def test_no_match(self):
self.assertEqual(GEOCODER.regions_for_mcc(None), [])
self.assertEqual(GEOCODER.regions_for_mcc(None, metadata=True), [])
self.assertEqual(GEOCODER.regions_for_mcc(1), [])
self.assertEqual(GEOCODER.regions_for_mcc(1, metadata=True), [])
self.assertEqual(GEOCODER.regions_for_mcc(''), [])
self.assertEqual(GEOCODER.regions_for_mcc('1', metadata=True), [])
def test_multiple_mcc(self):
now = util.utcnow()
region = GEOCODER.regions_for_mcc(235, metadata=True)[0]
cell = CellAreaFactory(mcc=234, num_cells=6)
cell2 = CellAreaFactory(mcc=235, num_cells=8)
self.session.flush()
query = self.model_query(cells=[cell, cell2])
results = self.source.search(query)
self.assertTrue(len(results) > 2)
best_result = results.best(query.expected_accuracy)
self.assertEqual(best_result.region_code, region.code)
self.assertAlmostEqual(best_result.score, 1.25 + cell.score(now), 4)
def upgrade():
bind = op.get_bind()
from ichnaea.geocode import GEOCODER
log.info('Update cell_area regions.')
stmt = '''\
UPDATE cell_area
SET `region` = "{code}"
WHERE `radio` IN (0, 1, 2, 3) AND `mcc` = {mcc} AND `region` IS NULL
'''
length = len(MCC_TO_REGION)
for i, (mcc, code) in enumerate(MCC_TO_REGION.items()):
op.execute(sa.text(stmt.format(code=code, mcc=mcc)))
if (i > 0 and i % 10 == 0):
log.info('Updated %s of %s regions.', i, length)
log.info('Updated %s of %s regions.', length, length)
stmt = 'SELECT COUNT(*) FROM cell_area WHERE region IS NULL'
todo = bind.execute(stmt).fetchone()[0]
log.info('Updating remaining %s areas.', todo)
stmt = '''\
SELECT HEX(`areaid`), `mcc`, `lat`, `lon`
FROM cell_area
WHERE `region` IS NULL
'''
rows = bind.execute(stmt).fetchall()
areas = {}
i = 0
for row in rows:
if (i > 0 and i % 5000 == 0):
log.info('Geocoded %s of %s areas.', i, todo)
code = GEOCODER.region_for_cell(row.lat, row.lon, row.mcc)
if code not in areas:
areas[code] = []
areas[code].append(row[0])
i += 1
log.info('Geocoded %s of %s areas.', todo, todo)
stmt = '''\
UPDATE cell_area
SET `region` = "{code}"
WHERE `areaid` in ({ids})
'''
for code, areaids in areas.items():
if not code:
continue
ids = 'UNHEX("' + '"), UNHEX("'.join(areaids) + '")'
op.execute(sa.text(stmt.format(code=code, ids=ids)))
log.info('Updated %s region.', code)
def test_from_mcc(self):
region = GEOCODER.regions_for_mcc(235, metadata=True)[0]
cell = CellAreaFactory(mcc=235, num_cells=10)
self.session.flush()
query = self.model_query(cells=[cell])
results = self.source.search(query)
self.check_model_results(results, [region])
self.assertAlmostEqual(results[0].score, 1.0, 4)
self.check_stats(counter=[
(self.api_type + '.source',
['key:test', 'region:none', 'source:internal',
'accuracy:low', 'status:hit']),
])
def test_multiple_mcc(self, geoip_db, http_session,
session, source, stats):
now = util.utcnow()
region = GEOCODER.regions_for_mcc(235, metadata=True)[0]
area = CellAreaFactory(mcc=234, num_cells=6)
area2 = CellAreaFactory(mcc=235, num_cells=8)
session.flush()
query = self.model_query(
geoip_db, http_session, session, stats,
cells=[area, area2])
results = source.search(query)
assert len(results) > 2
best_result = results.best()
assert best_result.region_code == region.code
assert best_result.score == 1.25 + area_score(area, now)
def test_from_mcc(self, geoip_db, http_session,
session, source, stats):
region = GEOCODER.regions_for_mcc(235, metadata=True)[0]
area = CellAreaFactory(mcc=235, num_cells=10)
session.flush()
query = self.model_query(
geoip_db, http_session, session, stats,
cells=[area])
results = source.search(query)
self.check_model_results(results, [region])
assert results[0].score == 1.0
stats.check(counter=[
(self.api_type + '.source',
['key:test', 'region:none', 'source:internal',
'accuracy:low', 'status:hit']),
])
def search_cell(self, query):
results = self.result_list()
now = util.utcnow()
ambiguous_cells = []
regions = []
for cell in list(query.cell) + list(query.cell_area):
code = cell.mobileCountryCode
mcc_regions = GEOCODER.regions_for_mcc(code, metadata=True)
# Divide score by number of possible regions for the mcc
score = 1.0 / (len(mcc_regions) or 1.0)
for mcc_region in mcc_regions:
regions.append((mcc_region, score))
if len(mcc_regions) > 1:
ambiguous_cells.append(cell)
# Group by region code
grouped_regions = {}
for region, score in regions:
code = region.code
if code not in grouped_regions:
grouped_regions[code] = [region, score]
else:
# Sum up scores of multiple matches
grouped_regions[code][1] += score
if ambiguous_cells:
# Only do a database query if the mcc is ambiguous.
# Use the area models for area and cell entries,
# as we are only interested in the region here,
# which won't differ between individual cells inside and area.
areas = query_areas(
query, ambiguous_cells, self.area_model, self.raven_client)
for area in areas:
code = area.region
if code and code in grouped_regions:
grouped_regions[code][1] += area_score(area, now)
for region, score in grouped_regions.values():
results.add(self.result_type(
region_code=region.code,
region_name=region.name,
accuracy=region.radius,
score=score))
return results
def search_mcc(self, query):
results = ResultList()
codes = set()
for cell in list(query.cell) + list(query.cell_area):
codes.add(cell.mcc)
regions = []
for code in codes:
regions.extend(GEOCODER.regions_for_mcc(code, metadata=True))
for region in regions:
region_code = region.code
results.add(self.result_type(
region_code=region_code,
region_name=region.name,
accuracy=region.radius))
return results
def validate(cls, entry, _raise_invalid=False, **kw):
validated = super(CellAreaMixin, cls).validate(
entry, _raise_invalid=_raise_invalid, **kw)
if validated is not None and 'areaid' not in validated:
validated['areaid'] = (
validated['radio'],
validated['mcc'],
validated['mnc'],
validated['lac'],
)
if (('region' not in validated or not validated['region']) and
validated['lat'] is not None and
validated['lon'] is not None):
validated['region'] = GEOCODER.region_for_cell(
validated['lat'], validated['lon'], validated['mcc'])
return validated
def search_mcc(self, query):
results = ResultList()
codes = set()
for cell in list(query.cell) + list(query.cell_area):
codes.add(cell.mcc)
regions = []
for code in codes:
regions.extend(GEOCODER.regions_for_mcc(code, metadata=True))
for region in regions:
region_code = region.code
results.add(self.result_type(
region_code=region_code,
region_name=region.name,
accuracy=region.radius))
return results
def search_blue(self, query):
results = self.result_list()
now = util.utcnow()
regions = defaultdict(int)
blues = query_macs(query, query.blue, self.raven_client, BlueShard)
for blue in blues:
regions[blue.region] += station_score(blue, now)
for code, score in regions.items():
region = GEOCODER.region_for_code(code)
if region:
results.add(self.result_type(
region_code=code,
region_name=region.name,
accuracy=region.radius,
score=score))
return results
def search_wifi(self, query):
results = self.result_list()
now = util.utcnow()
regions = defaultdict(int)
wifis = query_macs(query, query.wifi, self.raven_client, WifiShard)
for wifi in wifis:
regions[wifi.region] += station_score(wifi, now)
for code, score in regions.items():
region = GEOCODER.region_for_code(code)
if region:
results.add(self.result_type(
region_code=code,
region_name=region.name,
accuracy=region.radius,
score=score))
return results
def test_ambiguous_mcc(self):
now = util.utcnow()
regions = GEOCODER.regions_for_mcc(234, metadata=True)
cell = CellAreaFactory(mcc=234, num_cells=10)
self.session.flush()
query = self.model_query(cells=[cell])
results = self.source.search(query)
self.check_model_results(results, regions)
self.assertEqual(results.best().region_code, 'GB')
for result in results:
score = 0.25
if result.region_code == 'GB':
score += cell.score(now)
self.assertAlmostEqual(result.score, score, 4)
self.check_stats(counter=[
(self.api_type + '.source',
['key:test', 'region:none', 'source:internal',
'accuracy:low', 'status:hit']),
])
def test_blue(self):
now = util.utcnow()
region = GEOCODER.regions_for_mcc(235, metadata=True)[0]
blue1 = BlueShardFactory(samples=10)
blue2 = BlueShardFactory(samples=20)
blue3 = BlueShardFactory.build(region='DE', samples=100)
self.session.flush()
query = self.model_query(blues=[blue1, blue2, blue3])
results = self.source.search(query)
self.check_model_results(results, [region])
best_result = results.best()
self.assertEqual(best_result.region_code, region.code)
self.assertAlmostEqual(
best_result.score, blue1.score(now) + blue2.score(now), 4)
self.check_stats(counter=[
(self.api_type + '.source',
['key:test', 'region:none', 'source:internal',
'accuracy:low', 'status:hit']),
])
def test_wifi(self):
now = util.utcnow()
region = GEOCODER.regions_for_mcc(235, metadata=True)[0]
wifi1 = WifiShardFactory(samples=10)
wifi2 = WifiShardFactory(samples=20)
wifi3 = WifiShardFactory.build(region='DE', samples=100)
self.session.flush()
query = self.model_query(wifis=[wifi1, wifi2, wifi3])
results = self.source.search(query)
self.check_model_results(results, [region])
best_result = results.best(query.expected_accuracy)
self.assertEqual(best_result.region_code, region.code)
self.assertAlmostEqual(
best_result.score, wifi1.score(now) + wifi2.score(now), 4)
self.check_stats(counter=[
(self.api_type + '.source',
['key:test', 'region:none', 'source:internal',
'accuracy:low', 'status:hit']),
])
def test_blue(self, geoip_db, http_session,
session, source, stats):
now = util.utcnow()
region = GEOCODER.regions_for_mcc(235, metadata=True)[0]
blue1 = BlueShardFactory(samples=10)
blue2 = BlueShardFactory(samples=20)
blue3 = BlueShardFactory.build(region='DE', samples=100)
session.flush()
query = self.model_query(
geoip_db, http_session, session, stats,
blues=[blue1, blue2, blue3])
results = source.search(query)
self.check_model_results(results, [region])
best_result = results.best()
assert best_result.region_code == region.code
assert (best_result.score ==
station_score(blue1, now) + station_score(blue2, now))
stats.check(counter=[
(self.api_type + '.source',
['key:test', 'region:none', 'source:internal',
'accuracy:low', 'status:hit']),
])
def test_ambiguous_mcc(self, geoip_db, http_session,
session, source, stats):
now = util.utcnow()
regions = GEOCODER.regions_for_mcc(234, metadata=True)
area = CellAreaFactory(mcc=234, num_cells=10)
session.flush()
query = self.model_query(
geoip_db, http_session, session, stats,
cells=[area])
results = source.search(query)
self.check_model_results(results, regions)
assert results.best().region_code == 'GB'
for result in results:
score = 0.25
if result.region_code == 'GB':
score += area_score(area, now)
assert result.score == score
stats.check(counter=[
(self.api_type + '.source',
['key:test', 'region:none', 'source:internal',
'accuracy:low', 'status:hit']),
])
def test_all_valid_mcc(self):
for mcc in ALL_VALID_MCCS:
regions = set(GEOCODER.regions_for_mcc(mcc))
self.assertNotEqual(regions, set())
self.assertEqual(regions - GEOCODER._valid_regions, set())
def test_filtered(self):
# AX / Aland Islands is not in the GENC list
regions = GEOCODER.regions_for_mcc(244)
self.assertEqual(set(regions), set(['FI']))
def test_multiple(self):
regions = GEOCODER.regions_for_mcc(311)
self.assertEqual(set(regions), set(['GU', 'US']))
regions = GEOCODER.regions_for_mcc(311, metadata=True)
self.assertEqual(set([r.code for r in regions]), set(['GU', 'US']))
def test_single(self):
regions = GEOCODER.regions_for_mcc(262)
self.assertEqual(set(regions), set(['DE']))
regions = GEOCODER.regions_for_mcc(262, metadata=True)
self.assertEqual(set([r.code for r in regions]), set(['DE']))
def test_max_radius_fail(self):
for invalid in (None, 42, 'A', 'us', 'USA', 'AA'):
self.assertTrue(GEOCODER.region_max_radius(invalid) is None)
def test_max_radius(self):
self.assertEqual(GEOCODER.region_max_radius('US'), 2971000.0)
self.assertEqual(GEOCODER.region_max_radius('LI'), 14000.0)
self.assertEqual(GEOCODER.region_max_radius('VA'), 1000.0)
