def _get_contest_traces(flight):
contests = [
dict(contest_type="olc_plus", trace_type="triangle"),
dict(contest_type="olc_plus", trace_type="classic"),
]
contest_traces = []
for contest in contests:
contest_trace = flight.get_optimised_contest_trace(
contest["contest_type"], contest["trace_type"])
if not contest_trace:
continue
fixes = [(x.latitude, x.longitude) for x in contest_trace.locations]
times = []
for time in contest_trace.times:
times.append(flight.takeoff_time.hour * 3600 +
flight.takeoff_time.minute * 60 +
flight.takeoff_time.second +
(time - flight.takeoff_time).days * 86400 +
(time - flight.takeoff_time).seconds)
contest_traces.append(
dict(
name=contest["contest_type"] + " " + contest["trace_type"],
turnpoints=xcsoar.encode(fixes, floor=1e5, method="double"),
times=xcsoar.encode(times, method="signed"),
))
return contest_traces
def _get_contest_traces(flight):
contests = [
dict(contest_type='olc_plus', trace_type='triangle'),
dict(contest_type='olc_plus', trace_type='classic')
]
contest_traces = []
for contest in contests:
contest_trace = flight.get_optimised_contest_trace(
contest['contest_type'], contest['trace_type'])
if not contest_trace:
continue
fixes = map(lambda x: (x.latitude, x.longitude),
contest_trace.locations)
times = []
for time in contest_trace.times:
times.append(flight.takeoff_time.hour * 3600 +
flight.takeoff_time.minute * 60 +
flight.takeoff_time.second +
(time - flight.takeoff_time).days * 86400 +
(time - flight.takeoff_time).seconds)
contest_traces.append(
dict(name=contest['contest_type'] + " " + contest['trace_type'],
turnpoints=xcsoar.encode(fixes, floor=1e5, method="double"),
times=xcsoar.encode(times, method="signed")))
return contest_traces
def _encode_flight_path(fp, qnh):
# Reduce to 1000 points maximum with equal spacing
shortener = int(max(1, len(fp) / 1000))
barogram_h = xcsoar.encode([
pressure_alt_to_qnh_alt(fix.pressure_altitude, qnh)
for fix in fp[::shortener]
],
method="signed")
barogram_t = xcsoar.encode([fix.seconds_of_day for fix in fp[::shortener]],
method="signed")
enl = xcsoar.encode(
[fix.enl if fix.enl is not None else 0 for fix in fp[::shortener]],
method="signed")
elevations_h = xcsoar.encode([
fix.elevation if fix.elevation is not None else -1000
for fix in fp[::shortener]
],
method="signed")
return dict(barogram_h=barogram_h,
barogram_t=barogram_t,
enl=enl,
elevations_h=elevations_h,
igc_start_time=fp[0].datetime,
igc_end_time=fp[-1].datetime)
def _get_contest_traces(flight):
contests = [
dict(contest_type="olc_plus", trace_type="triangle"),
dict(contest_type="olc_plus", trace_type="classic"),
]
contest_traces = []
for contest in contests:
contest_trace = flight.get_optimised_contest_trace(contest["contest_type"], contest["trace_type"])
if not contest_trace:
continue
fixes = map(lambda x: (x.latitude, x.longitude), contest_trace.locations)
times = []
for time in contest_trace.times:
times.append(
flight.takeoff_time.hour * 3600
+ flight.takeoff_time.minute * 60
+ flight.takeoff_time.second
+ (time - flight.takeoff_time).days * 86400
+ (time - flight.takeoff_time).seconds
)
contest_traces.append(
dict(
name=contest["contest_type"] + " " + contest["trace_type"],
turnpoints=xcsoar.encode(fixes, floor=1e5, method="double"),
times=xcsoar.encode(times, method="signed"),
)
)
return contest_traces
def _encode_flight_path(fp, qnh):
# Reduce to 1000 points maximum with equal spacing
shortener = int(max(1, len(fp) / 1000))
barogram_h = xcsoar.encode(
[
pressure_alt_to_qnh_alt(fix.pressure_altitude, qnh)
for fix in fp[::shortener]
],
method="signed",
)
barogram_t = xcsoar.encode(
[fix.seconds_of_day for fix in fp[::shortener]], method="signed"
)
enl = xcsoar.encode(
[fix.enl if fix.enl is not None else 0 for fix in fp[::shortener]],
method="signed",
)
elevations_h = xcsoar.encode(
[
fix.elevation if fix.elevation is not None else -1000
for fix in fp[::shortener]
],
method="signed",
)
return dict(
barogram_h=barogram_h,
barogram_t=barogram_t,
enl=enl,
elevations_h=elevations_h,
igc_start_time=fp[0].datetime,
igc_end_time=fp[-1].datetime,
)
def _get_elevations(flight):
elevations = get_elevations_for_flight(flight)
# Encode lists
elevations_t = xcsoar.encode([t for t, h in elevations], method="signed")
elevations_h = xcsoar.encode([h for t, h in elevations], method="signed")
return elevations_t, elevations_h
def _get_elevations(flight):
elevations = get_elevations_for_flight(flight)
# Encode lists
elevations_t = xcsoar.encode([t for t, h in elevations], method="signed")
elevations_h = xcsoar.encode([h for t, h in elevations], method="signed")
return elevations_t, elevations_h
def _get_flight_path(flight):
fp = flight_path(flight.igc_file, add_elevation=True)
barogram_h = xcsoar.encode([fix.altitude for fix in fp], method="signed")
barogram_t = xcsoar.encode([fix.seconds_of_day for fix in fp], method="signed")
enl = xcsoar.encode([fix.enl if fix.enl is not None else 0 for fix in fp], method="signed")
elevations_h = xcsoar.encode([fix.elevation if fix.elevation is not None else -1000 for fix in fp], method="signed")
return dict(barogram_h=barogram_h, barogram_t=barogram_t,
enl=enl, elevations_h=elevations_h,
igc_start_time=fp[0].datetime, igc_end_time=fp[-1].datetime)
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)])
xcsoar_flight = xcsoar.Flight(fp)
xcsoar_flight.reduce(num_levels=num_levels,
zoom_factor=zoom_factor,
threshold=threshold)
encoded_flight = xcsoar_flight.encode()
points = encoded_flight['locations']
barogram_t = encoded_flight['times']
barogram_h = encoded_flight['altitude']
enl = encoded_flight['enl']
fp_reduced = map(lambda line: FlightPathFix(*line), xcsoar_flight.path())
elevations = xcsoar.encode([fix.elevation if fix.elevation is not None else UNKNOWN_ELEVATION for fix in fp_reduced], method="signed")
geoid_height = egm96_height(Location(latitude=fp[0].location['latitude'],
longitude=fp[0].location['longitude']))
return dict(points=points,
barogram_t=barogram_t, barogram_h=barogram_h, enl=enl,
elevations=elevations, geoid=geoid_height)
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)])
xcsoar_flight = xcsoar.Flight(fp)
xcsoar_flight.reduce(num_levels=num_levels,
zoom_factor=zoom_factor,
threshold=threshold)
encoded_flight = xcsoar_flight.encode()
encoded = dict(points=encoded_flight['locations'],
levels=encoded_flight['levels'],
zoom_levels=zoom_levels)
barogram_t = encoded_flight['times']
barogram_h = encoded_flight['altitude']
enl = encoded_flight['enl']
elevations = xcsoar.encode([fix.elevation if fix.elevation is not None else UNKNOWN_ELEVATION for fix in fp], method="signed")
return dict(encoded=encoded, zoom_levels=zoom_levels, num_levels=num_levels,
barogram_t=barogram_t, barogram_h=barogram_h, enl=enl,
elevations=elevations)
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)
])
xcsoar_flight = xcsoar.Flight(fp)
xcsoar_flight.reduce(num_levels=num_levels,
zoom_factor=zoom_factor,
threshold=threshold)
encoded_flight = xcsoar_flight.encode()
points = encoded_flight["locations"]
barogram_t = encoded_flight["times"]
barogram_h = encoded_flight["altitude"]
enl = encoded_flight["enl"]
fp_reduced = map(lambda line: FlightPathFix(*line), xcsoar_flight.path())
elevations = xcsoar.encode(
[
fix.elevation if fix.elevation is not None else UNKNOWN_ELEVATION
for fix in fp_reduced
],
method="signed",
)
geoid_height = egm96_height(
Location(latitude=fp[0].location["latitude"],
longitude=fp[0].location["longitude"]))
return dict(
points=points,
barogram_t=barogram_t,
barogram_h=barogram_h,
enl=enl,
elevations=elevations,
geoid=geoid_height,
)
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)
])
xcsoar_flight = xcsoar.Flight(fp)
xcsoar_flight.reduce(num_levels=num_levels,
zoom_factor=zoom_factor,
threshold=threshold)
encoded_flight = xcsoar_flight.encode()
encoded = dict(points=encoded_flight['locations'],
levels=encoded_flight['levels'],
zoom_levels=zoom_levels)
barogram_t = encoded_flight['times']
barogram_h = encoded_flight['altitude']
enl = encoded_flight['enl']
fp_reduced = map(lambda line: FlightPathFix(*line), xcsoar_flight.path())
elevations = xcsoar.encode([
fix.elevation if fix.elevation is not None else UNKNOWN_ELEVATION
for fix in fp_reduced
],
method="signed")
return dict(encoded=encoded,
zoom_levels=zoom_levels,
num_levels=num_levels,
barogram_t=barogram_t,
barogram_h=barogram_h,
enl=enl,
elevations=elevations)
print fix
flight.reduce(takeoff['time'], landing['time'], max_points=10)
print "Flight path from takeoff to landing, reduced:"
fixes = flight.path(takeoff['time'], landing['time'])
for fix in fixes:
print fix
flight_sequence = fixes
analysis = flight.analyse(takeoff['time'], release['time'], landing['time'])
pprint(analysis)
fixes = flight.path(takeoff['time'], landing['time'])
print xcsoar.encode([(row[2]['longitude'], row[2]['latitude']) for row in fixes], floor=10e5, method="double")
pprint(flight.encode())
del flight
print
print "Init xcsoar.Flight with a python sequence"
flight = xcsoar.Flight([fix[0:5] for fix in flight_sequence])
for fix in flight.path():
print fix
del flight
fixes = flight.path(takeoff['time'], landing['time'])
for fix in fixes:
print(fix)
flight_sequence = fixes
analysis = flight.analyse(takeoff=takeoff['time'],
scoring_start=release['time'],
scoring_end=landing['time'],
landing=landing['time'])
pprint(analysis)
fixes = flight.path(takeoff['time'], landing['time'])
print(
xcsoar.encode([(row[2]['latitude'], row[2]['longitude'])
for row in fixes],
floor=10e5,
method="double"))
pprint(flight.encode())
del flight
print()
print("Init xcsoar.Flight with a python sequence")
flight = xcsoar.Flight([fix[0:5] for fix in flight_sequence])
def assert_fixes_equal(fix1, fix2):
assert fix1[1] == fix2[1]
