def _flight_path(self):
from skylines.lib.xcsoar_.flightpath import flight_path
if not self.flight.igc_file:
return []
return flight_path(self.flight.igc_file)
def _flight_path(self):
from skylines.lib.xcsoar_.flightpath import flight_path
if not self.flight.igc_file:
return []
return flight_path(self.flight.igc_file)
def run_analyse_flight(filename, full=None, triangle=None, sprint=None):
limits = get_limits()
flight = xcsoar.Flight(flight_path(filename, add_elevation=True, max_points=None))
analysis_times = get_analysis_times(flight.times())
if analysis_times:
analysis = flight.analyse(analysis_times['takeoff']['time'],
analysis_times['scoring_start']['time']
if analysis_times['scoring_start'] else None,
analysis_times['scoring_end']['time']
if analysis_times['scoring_end'] else None,
analysis_times['landing']['time'],
full=full,
triangle=triangle,
sprint=sprint,
max_iterations=limits['iter_limit'],
max_tree_size=limits['tree_size_limit'])
analysis['events'] = analysis_times
return analysis
else:
return None
def run_analyse_flight(flight, full=None, triangle=None, sprint=None):
limits = get_limits()
filename = files.filename_to_path(flight.igc_file.filename)
xcsoar_flight = xcsoar.Flight(
flight_path(filename, add_elevation=True, max_points=None))
analysis_times = get_analysis_times(xcsoar_flight.times())
if flight.takeoff_time:
analysis_times['takeoff']['time'] = flight.takeoff_time
analysis_times['takeoff']['location'][
'latitude'] = flight.takeoff_location.latitude
analysis_times['takeoff']['location'][
'longitude'] = flight.takeoff_location.longitude
if flight.scoring_start_time:
analysis_times['scoring_start']['time'] = flight.scoring_start_time
if flight.scoring_end_time:
analysis_times['scoring_end']['time'] = flight.scoring_end_time
if flight.landing_time:
analysis_times['landing']['time'] = flight.landing_time
analysis_times['landing']['location'][
'latitude'] = flight.landing_location.latitude
analysis_times['landing']['location'][
'longitude'] = flight.landing_location.longitude
if analysis_times:
analysis = xcsoar_flight.analyse(
analysis_times['takeoff']['time'],
analysis_times['scoring_start']['time']
if analysis_times['scoring_start'] else None,
analysis_times['scoring_end']['time']
if analysis_times['scoring_end'] else None,
analysis_times['landing']['time'],
full=full,
triangle=triangle,
sprint=sprint,
max_iterations=limits['iter_limit'],
max_tree_size=limits['tree_size_limit'])
analysis['events'] = analysis_times
return analysis
else:
return None
def run_analyse_flight(flight, full=None, triangle=None, sprint=None):
limits = get_limits()
filename = files.filename_to_path(flight.igc_file.filename)
xcsoar_flight = xcsoar.Flight(flight_path(filename, add_elevation=True, max_points=None))
analysis_times = get_analysis_times(xcsoar_flight.times())
if flight.takeoff_time:
analysis_times['takeoff']['time'] = flight.takeoff_time
analysis_times['takeoff']['location']['latitude'] = flight.takeoff_location.latitude
analysis_times['takeoff']['location']['longitude'] = flight.takeoff_location.longitude
if flight.scoring_start_time:
analysis_times['scoring_start']['time'] = flight.scoring_start_time
if flight.scoring_end_time:
analysis_times['scoring_end']['time'] = flight.scoring_end_time
if flight.landing_time:
analysis_times['landing']['time'] = flight.landing_time
analysis_times['landing']['location']['latitude'] = flight.landing_location.latitude
analysis_times['landing']['location']['longitude'] = flight.landing_location.longitude
if analysis_times:
analysis = xcsoar_flight.analyse(analysis_times['takeoff']['time'],
analysis_times['scoring_start']['time']
if analysis_times['scoring_start'] else None,
analysis_times['scoring_end']['time']
if analysis_times['scoring_end'] else None,
analysis_times['landing']['time'],
full=full,
triangle=triangle,
sprint=sprint,
max_iterations=limits['iter_limit'],
max_tree_size=limits['tree_size_limit'])
analysis['events'] = analysis_times
return analysis
else:
return None
def run_analyse_flight(flight,
full=None, triangle=None, sprint=None,
fp=None):
limits = get_limits()
if not fp:
filename = files.filename_to_path(flight.igc_file.filename)
fp = flight_path(filename, add_elevation=True, max_points=None)
if len(fp) < 2:
return None, None
xcsoar_flight = xcsoar.Flight(fp)
analysis_times = get_analysis_times(xcsoar_flight.times())
# Fallback if automated flight detection has failed - check if first and last
# fix could be ok and use both of them for takeoff and landing
if not analysis_times and fp[0].datetime < fp[-1].datetime:
analysis_times = dict(takeoff=dict(time=fp[0].datetime,
location=fp[0].location),
scoring_start=None,
scoring_end=None,
landing=dict(time=fp[-1].datetime,
location=fp[-1].location))
# Give priority to already stored takeoff and landing times
if flight.takeoff_time and flight.takeoff_location:
analysis_times['takeoff']['time'] = flight.takeoff_time
analysis_times['takeoff']['location'] = dict(latitude=flight.takeoff_location.latitude,
longitude=flight.takeoff_location.longitude)
if flight.landing_time and flight.landing_location:
analysis_times['landing']['time'] = flight.landing_time
analysis_times['landing']['location'] = dict(latitude=flight.landing_location.latitude,
longitude=flight.landing_location.longitude)
# If no scoring window was found fallback to takeoff - landing
if not analysis_times['scoring_start']:
analysis_times['scoring_start'] = analysis_times['takeoff'].copy()
if not analysis_times['scoring_end']:
analysis_times['scoring_end'] = analysis_times['landing'].copy()
# And give priority to already stored scoring times
if flight.scoring_start_time:
analysis_times['scoring_start']['time'] = flight.scoring_start_time
if flight.scoring_end_time:
analysis_times['scoring_end']['time'] = flight.scoring_end_time
if analysis_times:
analysis = xcsoar_flight.analyse(analysis_times['takeoff']['time'] - datetime.timedelta(seconds=300),
analysis_times['scoring_start']['time'],
analysis_times['scoring_end']['time'],
analysis_times['landing']['time'] + datetime.timedelta(seconds=300),
full=full,
triangle=triangle,
sprint=sprint,
max_iterations=limits['iter_limit'],
max_tree_size=limits['tree_size_limit'])
analysis['events'] = analysis_times
return analysis, fp
else:
return None, None
def run_analyse_flight(flight, full=None, triangle=None, sprint=None, fp=None):
limits = get_limits()
if not fp:
filename = files.filename_to_path(flight.igc_file.filename)
fp = flight_path(filename, add_elevation=True, max_points=None)
if len(fp) < 2:
return None, None
xcsoar_flight = xcsoar.Flight(fp)
analysis_times = get_analysis_times(xcsoar_flight.times())
# Fallback if automated flight detection has failed - check if first and last
# fix could be ok and use both of them for takeoff and landing
if not analysis_times and fp[0].datetime < fp[-1].datetime:
analysis_times = dict(
takeoff=dict(time=fp[0].datetime, location=fp[0].location),
scoring_start=None,
scoring_end=None,
landing=dict(time=fp[-1].datetime, location=fp[-1].location),
)
# Give priority to already stored takeoff and landing times
if flight.takeoff_time and flight.takeoff_location:
analysis_times["takeoff"]["time"] = flight.takeoff_time
analysis_times["takeoff"]["location"] = dict(
latitude=flight.takeoff_location.latitude, longitude=flight.takeoff_location.longitude
)
if flight.landing_time and flight.landing_location:
analysis_times["landing"]["time"] = flight.landing_time
analysis_times["landing"]["location"] = dict(
latitude=flight.landing_location.latitude, longitude=flight.landing_location.longitude
)
# If no scoring window was found fallback to takeoff - landing
if not analysis_times["scoring_start"]:
analysis_times["scoring_start"] = analysis_times["takeoff"].copy()
if not analysis_times["scoring_end"]:
analysis_times["scoring_end"] = analysis_times["landing"].copy()
# And give priority to already stored scoring times
if flight.scoring_start_time:
analysis_times["scoring_start"]["time"] = flight.scoring_start_time
if flight.scoring_end_time:
analysis_times["scoring_end"]["time"] = flight.scoring_end_time
if analysis_times:
analysis = xcsoar_flight.analyse(
analysis_times["takeoff"]["time"] - datetime.timedelta(seconds=300),
analysis_times["scoring_start"]["time"],
analysis_times["scoring_end"]["time"],
analysis_times["landing"]["time"] + datetime.timedelta(seconds=300),
full=full,
triangle=triangle,
sprint=sprint,
max_iterations=limits["iter_limit"],
max_tree_size=limits["tree_size_limit"],
)
analysis["events"] = analysis_times
return analysis, fp
else:
return None, None
