def _get_flight_path(flight, threshold=0.001, max_points=3000):
fp = flight_path(flight.igc_file, max_points)
if len(fp) == 0:
current_app.logger.error('flight_path("' + flight.igc_file.filename + '") returned with an empty list')
return None
num_levels = 4
zoom_factor = 4
zoom_levels = [0]
zoom_levels.extend([round(-math.log(32.0 / 45.0 * (threshold * pow(zoom_factor, num_levels - i - 1)), 2)) for i in range(1, num_levels)])
max_delta_time = max(4, (fp[-1].seconds_of_day - fp[0].seconds_of_day) / 500)
encoder = SkyLinesPolyEncoder(num_levels=4, threshold=threshold, zoom_factor=4)
fixes = map(lambda x: (x.longitude, x.latitude,
(x.seconds_of_day / max_delta_time * threshold)), fp)
fixes = encoder.classify(fixes, remove=False, type="ppd")
encoded = encoder.encode(fixes['points'], fixes['levels'])
barogram_t = encoder.encodeList([fp[i].seconds_of_day for i in range(len(fp)) if fixes['levels'][i] != -1])
barogram_h = encoder.encodeList([fp[i].altitude for i in range(len(fp)) if fixes['levels'][i] != -1])
enl = encoder.encodeList([fp[i].enl for i in range(len(fp)) if fixes['levels'][i] != -1])
elevations_t, elevations_h = _get_elevations(flight, encoder)
contest_traces = _get_contest_traces(flight, encoder)
return dict(encoded=encoded, zoom_levels=zoom_levels, num_levels=num_levels,
barogram_t=barogram_t, barogram_h=barogram_h,
enl=enl, contests=contest_traces,
elevations_t=elevations_t, elevations_h=elevations_h,
sfid=flight.id)
def _get_flight_path(pilot, threshold=0.001, last_update=None):
fp = _get_flight_path2(pilot, last_update=last_update)
if not fp:
return None
num_levels = 4
zoom_factor = 4
zoom_levels = [0]
zoom_levels.extend([
round(-log(
32.0 / 45.0 *
(threshold * pow(zoom_factor, num_levels - i - 1)), 2))
for i in range(1, num_levels)
])
encoder = SkyLinesPolyEncoder(num_levels=4,
threshold=threshold,
zoom_factor=4)
fixes = dict()
if len(fp) == 1:
x = fp[0]
fixes['points'] = [(x[2], x[1])]
fixes['levels'] = [0]
else:
max_delta_time = max(4, (fp[-1][0] - fp[0][0]) / 500)
fixes = map(
lambda x: (x[2], x[1], (x[0] / max_delta_time * threshold)), fp)
fixes = encoder.classify(fixes, remove=False, type="ppd")
encoded = encoder.encode(fixes['points'], fixes['levels'])
barogram_t = encoder.encodeList(
[fp[i][0] for i in range(len(fp)) if fixes['levels'][i] != -1])
barogram_h = encoder.encodeList(
[fp[i][3] for i in range(len(fp)) if fixes['levels'][i] != -1])
enl = encoder.encodeList(
[fp[i][4] or 0 for i in range(len(fp)) if fixes['levels'][i] != -1])
elevations = encoder.encodeList([
fp[i][5] or UNKNOWN_ELEVATION for i in range(len(fp))
if fixes['levels'][i] != -1
])
return dict(encoded=encoded,
zoom_levels=zoom_levels,
num_levels=num_levels,
barogram_t=barogram_t,
barogram_h=barogram_h,
enl=enl,
elevations=elevations)
