def create_cell_measure(utcnow, entry):
entry = normalized_cell_measure_dict(entry)
if entry is None:
return None
report_id = entry.get('report_id')
if report_id:
report_id = uuid.UUID(hex=report_id).bytes
return CellMeasure(
report_id=report_id,
created=utcnow,
lat=entry['lat'],
lon=entry['lon'],
time=decode_datetime(entry.get('time', '')),
accuracy=entry.get('accuracy', 0),
altitude=entry.get('altitude', 0),
altitude_accuracy=entry.get('altitude_accuracy', 0),
radio=entry.get('radio', -1),
mcc=entry.get('mcc', -1),
mnc=entry.get('mnc', -1),
lac=entry.get('lac', -1),
cid=entry.get('cid', -1),
psc=entry.get('psc', -1),
asu=entry.get('asu', -1),
signal=entry.get('signal', 0),
ta=entry.get('ta', 0),
heading=entry.get('heading', -1.0),
speed=entry.get('speed', -1.0),
)
def process_measure(report_id, data, session):
def add_missing_dict_entries(dst, src):
# x.update(y) overwrites entries in x with those in y;
# we want to only add those not already present
for (k, v) in src.items():
if k not in dst:
dst[k] = v
cell_measures = {}
wifi_measures = {}
measure_data = dict(
report_id=report_id,
lat=data['lat'],
lon=data['lon'],
heading=data.get('heading', -1.0),
speed=data.get('speed', -1.0),
time=encode_datetime(data['time']),
accuracy=data.get('accuracy', 0),
altitude=data.get('altitude', 0),
altitude_accuracy=data.get('altitude_accuracy', 0),
)
measure_radio = RADIO_TYPE.get(data['radio'], -1)
if data.get('cell'):
# flatten measure / cell data into a single dict
for c in data['cell']:
add_missing_dict_entries(c, measure_data)
c = normalized_cell_measure_dict(c, measure_radio)
if c is None:
continue
key = to_cellkey_psc(c)
if key in cell_measures:
existing = cell_measures[key]
if existing['ta'] > c['ta'] or \
(existing['signal'] != 0 and
existing['signal'] < c['signal']) or \
existing['asu'] < c['asu']:
cell_measures[key] = c
else:
cell_measures[key] = c
cell_measures = cell_measures.values()
# flatten measure / wifi data into a single dict
if data.get('wifi'):
for w in data['wifi']:
add_missing_dict_entries(w, measure_data)
w = normalized_wifi_measure_dict(w)
if w is None:
continue
key = w['key']
if key in wifi_measures:
existing = wifi_measures[key]
if existing['signal'] != 0 and \
existing['signal'] < w['signal']:
wifi_measures[key] = w
else:
wifi_measures[key] = w
wifi_measures = wifi_measures.values()
return (cell_measures, wifi_measures)
def check_normalized_cell(self, measure, cell, expect):
d = measure.copy()
d.update(cell)
result = normalized_cell_measure_dict(d)
if expect is None:
self.assertEqual(result, expect)
else:
for (k, v) in expect.items():
self.assertEqual(result[k], v)
return result
def create_cell_measure(utcnow, entry):
entry = normalized_cell_measure_dict(entry)
if entry is None:
return None
return CellMeasure(
measure_id=entry.get('measure_id'),
created=utcnow,
lat=entry['lat'],
lon=entry['lon'],
time=decode_datetime(entry.get('time', '')),
accuracy=entry.get('accuracy', 0),
altitude=entry.get('altitude', 0),
altitude_accuracy=entry.get('altitude_accuracy', 0),
radio=entry.get('radio', -1),
mcc=entry.get('mcc', -1),
mnc=entry.get('mnc', -1),
lac=entry.get('lac', -1),
cid=entry.get('cid', -1),
psc=entry.get('psc', -1),
asu=entry.get('asu', -1),
signal=entry.get('signal', 0),
ta=entry.get('ta', 0),
)
