def get(self, request):
kml = Kml(name='AUVSI SUAS Flight Data')
kml_missions = kml.newfolder(name='Missions')
users = User.objects.all()
for mission in MissionConfig.objects.all():
kml_mission = mission_kml(mission, kml_missions, kml.document)
kml_flights = kml_mission.newfolder(name='Flights')
for user in users:
if user.is_superuser:
continue
flights = TakeoffOrLandingEvent.flights(mission, user)
if not flights:
continue
uas_telemetry_kml(
user=user,
flights=flights,
logs=UasTelemetry.by_user(user),
kml=kml_flights,
kml_doc=kml.document)
response = HttpResponse(kml.kml())
response['Content-Type'] = 'application/vnd.google-earth.kml+xml'
response['Content-Disposition'] = 'attachment; filename=mission.kml'
response['Content-Length'] = str(len(response.content))
return response
def __init__(self, submitted_objects, real_objects):
"""Creates an evaluation of submitted objects against real objects.
Args:
submitted_objects: List of submitted Odlc objects, all from
the same user.
real_objects: List of real objects made by judges.
Raises:
AssertionError: not all submitted objects are from the same user.
"""
self.submitted_objects = submitted_objects
self.real_objects = real_objects
if self.submitted_objects:
self.user = self.submitted_objects[0].user
for t in self.submitted_objects:
if t.user != self.user:
raise AssertionError(
"All submitted objects must be from the same user")
self.flights = TakeoffOrLandingEvent.flights(self.user)
self.matches = self.match_odlcs(submitted_objects, real_objects)
self.unmatched = self.find_unmatched(submitted_objects, real_objects,
self.matches)
def actionable_submission(self, flights=None):
"""Checks if Odlc meets Actionable Intelligence submission criteria.
A object is "actionable" if one of the following conditions is met:
(a) If it was submitted over interop and last updated during the
aircraft's first flight.
(b) If the object was submitted via USB, the object's
actionable_override flag was set by an admin.
Args:
flights: Optional memoized flights for this object's user. If
omitted, the flights will be looked up.
Returns:
True if object may be considered an "actionable" submission.
"""
if flights is None:
flights = TakeoffOrLandingEvent.flights(self.user)
actionable = False
if len(flights) > 0:
flight = flights[0]
if flight.within(self.creation_time) and \
flight.within(self.last_modified_time):
actionable = True
return self.actionable_override or actionable
def generate_feedback(mission_config, user, team_eval):
"""Generates mission feedback for the given team and mission.
Args:
mission_config: The mission to evaluate the team against.
user: The team user object for which to evaluate and provide feedback.
team_eval: The team evaluation to fill.
"""
feedback = team_eval.feedback
# Find the user's flights.
flight_periods = TakeoffOrLandingEvent.flights(mission_config, user)
for period in flight_periods:
if period.duration() is None:
team_eval.warnings.append('Infinite flight period.')
uas_period_logs = [
UasTelemetry.dedupe(logs)
for logs in UasTelemetry.by_time_period(user, flight_periods)
]
uas_logs = list(itertools.chain.from_iterable(uas_period_logs))
if not uas_logs:
team_eval.warnings.append('No UAS telemetry logs.')
# Determine interop telemetry rates.
telem_max, telem_avg = UasTelemetry.rates(
user, flight_periods, time_period_logs=uas_period_logs)
if telem_max:
feedback.uas_telemetry_time_max_sec = telem_max
if telem_avg:
feedback.uas_telemetry_time_avg_sec = telem_avg
# Determine if the uas hit the waypoints.
feedback.waypoints.extend(
UasTelemetry.satisfied_waypoints(
mission_config.home_pos,
mission_config.mission_waypoints.order_by('order'), uas_logs))
# Evaluate the object detections.
user_odlcs = Odlc.objects.filter(user=user).filter(
mission=mission_config.pk).all()
evaluator = OdlcEvaluator(user_odlcs,
mission_config.odlcs.all(), flight_periods)
feedback.odlc.CopyFrom(evaluator.evaluate())
# Determine collisions with stationary.
for obst in mission_config.stationary_obstacles.all():
obst_eval = feedback.stationary_obstacles.add()
obst_eval.id = obst.pk
obst_eval.hit = obst.evaluate_collision_with_uas(uas_logs)
# Add judge feedback.
try:
judge_feedback = MissionJudgeFeedback.objects.get(
mission=mission_config.pk, user=user.pk)
feedback.judge.CopyFrom(judge_feedback.proto())
except MissionJudgeFeedback.DoesNotExist:
team_eval.warnings.append('No MissionJudgeFeedback for team.')
def kml(cls, user, logs, kml, kml_doc):
"""
Appends kml nodes describing the given user's flight as described
by the log array given.
Args:
user: A Django User to get username from
logs: A list of UasTelemetry elements
kml: A simpleKML Container to which the flight data will be added
kml_doc: The simpleKML Document to which schemas will be added
Returns:
None
"""
kml_folder = kml.newfolder(name=user.username)
flights = TakeoffOrLandingEvent.flights(user)
if len(flights) == 0:
return
logs = UasTelemetry.dedupe(UasTelemetry.filter_bad(logs))
for i, flight in enumerate(flights):
name = '%s Flight %d' % (user.username, i + 1)
flight_logs = filter(lambda x: flight.within(x.timestamp), logs)
coords = []
angles = []
when = []
for entry in logs:
pos = entry.uas_position.gps_position
# Spatial Coordinates
coord = (pos.longitude, pos.latitude,
units.feet_to_meters(entry.uas_position.altitude_msl))
coords.append(coord)
# Time Elements
time = entry.timestamp.strftime(KML_DATETIME_FORMAT)
when.append(time)
# Degrees heading, tilt, and roll
angle = (entry.uas_heading, 0.0, 0.0)
angles.append(angle)
# Create a new track in the folder
trk = kml_folder.newgxtrack(name=name)
trk.altitudemode = AltitudeMode.absolute
# Append flight data
trk.newwhen(when)
trk.newgxcoord(coords)
trk.newgxangle(angles)
# Set styling
trk.extrude = 1 # Extend path to ground
trk.style.linestyle.width = 2
trk.style.linestyle.color = Color.blue
trk.iconstyle.icon.href = KML_PLANE_ICON
def evaluate_teams(mission_config, users=None):
"""Evaluates the teams (non admin users) of the competition.
Args:
mission_config: The mission to evaluate users against.
users: Optional list of users to eval. If None will evaluate all.
Returns:
A auvsi_suas.proto.MultiUserMissionEvaluation.
"""
# Start a results map from user to MissionEvaluation.
mission_eval = interop_admin_api_pb2.MultiUserMissionEvaluation()
# If not provided, eval all users.
if users is None:
users = User.objects.all()
logger.info('Starting team evaluations.')
for user in sorted(users, key=lambda u: u.username):
# Ignore admins.
if user.is_superuser:
continue
# Ignore users with no flights for mission.
if not TakeoffOrLandingEvent.flights(mission_config, user):
logger.info('Skipping user with no flights: %s' % user.username)
continue
# Start the evaluation data structure.
logger.info('Evaluation starting for user: %s.' % user.username)
team_eval = mission_eval.teams.add()
team_eval.team = user.username
# Generate feedback.
generate_feedback(mission_config, user, team_eval)
# Generate score from feedback.
score_team(team_eval)
return mission_eval
def generate_feedback(mission_config, user, team_eval):
"""Generates mission feedback for the given team and mission.
Args:
mission_config: The mission to evaluate the team against.
user: The team user object for which to evaluate and provide feedback.
team_eval: The team evaluation to fill.
"""
feedback = team_eval.feedback
# Calculate the total mission clock time.
missions = MissionClockEvent.missions(user)
mission_clock_time = datetime.timedelta(seconds=0)
for mission in missions:
duration = mission.duration()
if duration is None:
team_eval.warnings.append('Infinite mission clock.')
else:
mission_clock_time += duration
feedback.mission_clock_time_sec = mission_clock_time.total_seconds()
# Calculate total time in air.
flight_periods = TakeoffOrLandingEvent.flights(user)
if flight_periods:
flight_time = reduce(lambda x, y: x + y,
[p.duration() for p in flight_periods])
feedback.flight_time_sec = flight_time.total_seconds()
else:
feedback.flight_time_sec = 0
# Find the user's flights.
for period in flight_periods:
if period.duration() is None:
team_eval.warnings.append('Infinite flight period.')
uas_period_logs = [
UasTelemetry.dedupe(logs)
for logs in UasTelemetry.by_time_period(user, flight_periods)
]
uas_logs = list(itertools.chain.from_iterable(uas_period_logs))
if not uas_logs:
team_eval.warnings.append('No UAS telemetry logs.')
# Determine interop telemetry rates.
telem_max, telem_avg = UasTelemetry.rates(user,
flight_periods,
time_period_logs=uas_period_logs)
if telem_max:
feedback.uas_telemetry_time_max_sec = telem_max
if telem_avg:
feedback.uas_telemetry_time_avg_sec = telem_avg
# Determine if the uas went out of bounds. This must be done for
# each period individually so time between periods isn't counted as
# out of bounds time. Note that this calculates reported time out
# of bounds, not actual or possible time spent out of bounds.
out_of_bounds = datetime.timedelta(seconds=0)
feedback.boundary_violations = 0
for logs in uas_period_logs:
bv, bt = FlyZone.out_of_bounds(mission_config.fly_zones.all(), logs)
feedback.boundary_violations += bv
out_of_bounds += bt
feedback.out_of_bounds_time_sec = out_of_bounds.total_seconds()
# Determine if the uas hit the waypoints.
feedback.waypoints.extend(
UasTelemetry.satisfied_waypoints(
mission_config.home_pos,
mission_config.mission_waypoints.order_by('order'), uas_logs))
# Evaluate the object detections.
user_odlcs = Odlc.objects.filter(user=user).all()
evaluator = OdlcEvaluator(user_odlcs, mission_config.odlcs.all())
feedback.odlc.CopyFrom(evaluator.evaluate())
# Determine collisions with stationary and moving obstacles.
for obst in mission_config.stationary_obstacles.all():
obst_eval = feedback.stationary_obstacles.add()
obst_eval.id = obst.pk
obst_eval.hit = obst.evaluate_collision_with_uas(uas_logs)
for obst in mission_config.moving_obstacles.all():
obst_eval = feedback.moving_obstacles.add()
obst_eval.id = obst.pk
obst_eval.hit = obst.evaluate_collision_with_uas(uas_logs)
# Add judge feedback.
try:
judge_feedback = MissionJudgeFeedback.objects.get(
mission=mission_config.pk, user=user.pk)
feedback.judge.CopyFrom(judge_feedback.proto())
except MissionJudgeFeedback.DoesNotExist:
team_eval.warnings.append('No MissionJudgeFeedback for team.')
# Sanity check mission time.
judge_mission_clock = (feedback.judge.flight_time_sec +
feedback.judge.post_process_time_sec)
if abs(feedback.mission_clock_time_sec - judge_mission_clock) > 30:
team_eval.warnings.append(
'Mission clock differs between interop and judge.')
def evaluate_periods(self, expected):
"""Check actual periods against expected."""
periods = TakeoffOrLandingEvent.flights(self.user1)
self.assertSequenceEqual(expected, periods)
def generate_feedback(mission_config, user, team_eval):
"""Generates mission feedback for the given team and mission.
Args:
mission_config: The mission to evaluate the team against.
user: The team user object for which to evaluate and provide feedback.
team_eval: The team evaluation to fill.
"""
feedback = team_eval.feedback
# Calculate the total mission clock time.
missions = MissionClockEvent.missions(user)
mission_clock_time = datetime.timedelta(seconds=0)
for mission in missions:
duration = mission.duration()
if duration is None:
team_eval.warnings.append('Infinite mission clock.')
else:
mission_clock_time += duration
feedback.mission_clock_time_sec = mission_clock_time.total_seconds()
# Calculate total time in air.
flight_periods = TakeoffOrLandingEvent.flights(user)
if flight_periods:
flight_time = reduce(lambda x, y: x + y, [p.duration()
for p in flight_periods])
feedback.flight_time_sec = flight_time.total_seconds()
else:
feedback.flight_time_sec = 0
# Find the user's flights.
for period in flight_periods:
if period.duration() is None:
team_eval.warnings.append('Infinite flight period.')
uas_period_logs = [
UasTelemetry.dedupe(logs)
for logs in UasTelemetry.by_time_period(user, flight_periods)
]
uas_logs = list(itertools.chain.from_iterable(uas_period_logs))
if not uas_logs:
team_eval.warnings.append('No UAS telemetry logs.')
# Determine interop telemetry rates.
telem_max, telem_avg = UasTelemetry.rates(user,
flight_periods,
time_period_logs=uas_period_logs)
if telem_max:
feedback.uas_telemetry_time_max_sec = telem_max
if telem_avg:
feedback.uas_telemetry_time_avg_sec = telem_avg
# Determine if the uas went out of bounds. This must be done for
# each period individually so time between periods isn't counted as
# out of bounds time. Note that this calculates reported time out
# of bounds, not actual or possible time spent out of bounds.
out_of_bounds = datetime.timedelta(seconds=0)
feedback.boundary_violations = 0
for logs in uas_period_logs:
bv, bt = FlyZone.out_of_bounds(mission_config.fly_zones.all(), logs)
feedback.boundary_violations += bv
out_of_bounds += bt
feedback.out_of_bounds_time_sec = out_of_bounds.total_seconds()
# Determine if the uas hit the waypoints.
feedback.waypoints.extend(UasTelemetry.satisfied_waypoints(
mission_config.home_pos, mission_config.mission_waypoints.order_by(
'order'), uas_logs))
# Evaluate the targets.
user_targets = Target.objects.filter(user=user).all()
evaluator = TargetEvaluator(user_targets, mission_config.targets.all())
feedback.target.CopyFrom(evaluator.evaluate())
# Determine collisions with stationary and moving obstacles.
for obst in mission_config.stationary_obstacles.all():
obst_eval = feedback.stationary_obstacles.add()
obst_eval.id = obst.pk
obst_eval.hit = obst.evaluate_collision_with_uas(uas_logs)
for obst in mission_config.moving_obstacles.all():
obst_eval = feedback.moving_obstacles.add()
obst_eval.id = obst.pk
obst_eval.hit = obst.evaluate_collision_with_uas(uas_logs)
# Add judge feedback.
try:
judge_feedback = MissionJudgeFeedback.objects.get(
mission=mission_config.pk,
user=user.pk)
feedback.judge.CopyFrom(judge_feedback.proto())
except MissionJudgeFeedback.DoesNotExist:
team_eval.warnings.append('No MissionJudgeFeedback for team.')
# Sanity check mission time.
judge_mission_clock = (
feedback.judge.flight_time_sec + feedback.judge.post_process_time_sec)
if abs(feedback.mission_clock_time_sec - judge_mission_clock) > 30:
team_eval.warnings.append(
'Mission clock differs between interop and judge.')
def kml(cls, user, logs, kml, kml_doc):
"""
Appends kml nodes describing the given user's flight as described
by the log array given.
Args:
user: A Django User to get username from
logs: A list of UasTelemetry elements
kml: A simpleKML Container to which the flight data will be added
kml_doc: The simpleKML Document to which schemas will be added
Returns:
None
"""
# KML Compliant Datetime Formatter
kml_datetime_format = "%Y-%m-%dT%H:%M:%S.%fZ"
icon = 'http://maps.google.com/mapfiles/kml/shapes/airports.png'
kml_folder = kml.newfolder(name=user.username)
flights = TakeoffOrLandingEvent.flights(user)
if len(flights) == 0:
return
logs = UasTelemetry.dedupe(UasTelemetry.filter_bad(logs))
for i, flight in enumerate(flights):
label = 'Flight {}'.format(i + 1) # Flights are one-indexed
kml_flight = kml_folder.newfolder(name=label)
flight_logs = filter(lambda x: flight.within(x.timestamp), logs)
if len(flight_logs) < 2:
continue
coords = []
angles = []
when = []
for entry in flight_logs:
pos = entry.uas_position.gps_position
# Spatial Coordinates
coord = (pos.longitude, pos.latitude,
units.feet_to_meters(entry.uas_position.altitude_msl))
coords.append(coord)
# Time Elements
time = entry.timestamp.strftime(kml_datetime_format)
when.append(time)
# Degrees heading, tilt, and roll
angle = (entry.uas_heading, 0.0, 0.0)
angles.append(angle)
# Create a new track in the folder
trk = kml_flight.newgxtrack(name='Flight Path')
trk.altitudemode = AltitudeMode.absolute
# Append flight data
trk.newwhen(when)
trk.newgxcoord(coords)
trk.newgxangle(angles)
# Set styling
trk.extrude = 1 # Extend path to ground
trk.style.linestyle.width = 2
trk.style.linestyle.color = Color.blue
trk.iconstyle.icon.href = icon
def evaluate_periods(self, expected):
"""Check actual periods against expected."""
periods = TakeoffOrLandingEvent.flights(self.user1)
self.assertSequenceEqual(expected, periods)
def setUp(self):
"""Setup the test case."""
super(TestOdlcEvaluator, self).setUp()
self.maxDiff = None
self.user = User.objects.create_user('user', '*****@*****.**',
'pass')
l1 = GpsPosition(latitude=38, longitude=-76)
l1.save()
l2 = GpsPosition(latitude=38.0003, longitude=-76)
l2.save()
l3 = GpsPosition(latitude=-38, longitude=76)
l3.save()
l4 = GpsPosition(latitude=0, longitude=0)
l4.save()
# Mission
pos = GpsPosition()
pos.latitude = 10
pos.longitude = 100
pos.save()
wpt = Waypoint()
wpt.order = 10
wpt.latitude = 10
wpt.longitude = 100
wpt.altitude_msl = 1000
wpt.save()
self.mission = MissionConfig()
self.mission.home_pos = pos
self.mission.lost_comms_pos = pos
self.mission.emergent_last_known_pos = pos
self.mission.off_axis_odlc_pos = pos
self.mission.map_center_pos = pos
self.mission.map_height_ft = 1
self.mission.air_drop_pos = pos
self.mission.ugv_drive_pos = pos
self.mission.save()
self.mission.mission_waypoints.add(wpt)
self.mission.search_grid_points.add(wpt)
self.mission.save()
event = TakeoffOrLandingEvent(user=self.user,
mission=self.mission,
uas_in_air=True)
event.save()
# A odlc worth full points.
self.submit1 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD,
location=l1,
orientation=interop_api_pb2.Odlc.S,
shape=interop_api_pb2.Odlc.SQUARE,
shape_color=interop_api_pb2.Odlc.WHITE,
alphanumeric='ABC',
alphanumeric_color=interop_api_pb2.Odlc.BLACK,
description='Submit test odlc 1',
description_approved=True,
autonomous=True,
thumbnail_approved=True)
self.submit1.save()
self.real1 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD,
location=l1,
orientation=interop_api_pb2.Odlc.S,
shape=interop_api_pb2.Odlc.SQUARE,
shape_color=interop_api_pb2.Odlc.WHITE,
alphanumeric='ABC',
alphanumeric_color=interop_api_pb2.Odlc.BLACK,
description='Real odlc 1')
self.real1.save()
# A odlc worth less than full points.
self.submit2 = Odlc(
mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD,
location=l1,
orientation=interop_api_pb2.Odlc.N,
shape=interop_api_pb2.Odlc.CIRCLE,
shape_color=interop_api_pb2.Odlc.WHITE,
# alphanumeric set below
alphanumeric_color=interop_api_pb2.Odlc.BLACK,
description='Submit test odlc 2',
autonomous=False,
thumbnail_approved=True)
self.submit2.save()
self.real2 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD,
location=l2,
orientation=interop_api_pb2.Odlc.S,
shape=interop_api_pb2.Odlc.TRIANGLE,
shape_color=interop_api_pb2.Odlc.WHITE,
alphanumeric='ABC',
alphanumeric_color=interop_api_pb2.Odlc.BLACK,
description='Real test odlc 2')
self.real2.save()
# A odlc worth no points, so unmatched.
self.submit3 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD,
location=l4,
orientation=interop_api_pb2.Odlc.NW,
shape=interop_api_pb2.Odlc.PENTAGON,
shape_color=interop_api_pb2.Odlc.GRAY,
alphanumeric='XYZ',
alphanumeric_color=interop_api_pb2.Odlc.ORANGE,
description='Incorrect description',
autonomous=False,
thumbnail_approved=True)
self.submit3.save()
self.real3 = Odlc(
mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD,
orientation=interop_api_pb2.Odlc.E,
shape=interop_api_pb2.Odlc.SEMICIRCLE,
shape_color=interop_api_pb2.Odlc.YELLOW,
alphanumeric='LMN',
# alphanumeric_color set below
location=l3,
description='Test odlc 3')
self.real3.save()
# Odlcs without approved image has no match value.
self.submit4 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.EMERGENT,
location=l1,
description='Test odlc 4',
autonomous=False,
thumbnail_approved=False)
self.submit4.save()
self.real4 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.EMERGENT,
location=l1,
description='Test odlc 4')
self.real4.save()
# A odlc without location worth fewer points.
self.submit5 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD,
orientation=interop_api_pb2.Odlc.N,
shape=interop_api_pb2.Odlc.TRAPEZOID,
shape_color=interop_api_pb2.Odlc.PURPLE,
alphanumeric='PQR',
alphanumeric_color=interop_api_pb2.Odlc.BLUE,
description='Test odlc 5',
autonomous=False,
thumbnail_approved=True)
self.submit5.save()
self.real5 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD,
location=l1,
orientation=interop_api_pb2.Odlc.N,
shape=interop_api_pb2.Odlc.TRAPEZOID,
shape_color=interop_api_pb2.Odlc.PURPLE,
alphanumeric='PQR',
alphanumeric_color=interop_api_pb2.Odlc.BLUE,
description='Test odlc 5')
self.real5.save()
# Emergent odlc with correct description.
self.submit6 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.EMERGENT,
location=l1,
description='Submit test odlc 6',
description_approved=True,
autonomous=True,
thumbnail_approved=True)
self.submit6.save()
self.real6 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.EMERGENT,
location=l1,
description='Real odlc 1',
description_approved=True)
self.real6.save()
event = TakeoffOrLandingEvent(user=self.user,
mission=self.mission,
uas_in_air=False)
event.save()
# submit2 updated after landing.
self.submit2.alphanumeric = 'ABC'
self.submit2.update_last_modified()
self.submit2.save()
self.submit2.update_last_modified()
self.submit3.alphanumeric_color = interop_api_pb2.Odlc.YELLOW
self.submit3.update_last_modified()
self.submit3.save()
# Unused but not unmatched odlc.
self.submit7 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD,
location=l4,
alphanumeric_color=interop_api_pb2.Odlc.BLACK,
description='Submit unused test odlc 1',
autonomous=False,
thumbnail_approved=True)
self.submit7.save()
self.submitted_odlcs = [
self.submit7, self.submit6, self.submit5, self.submit4,
self.submit3, self.submit2, self.submit1
]
self.real_odlcs = [
self.real1, self.real2, self.real3, self.real4, self.real5,
self.real6
]
self.flights = TakeoffOrLandingEvent.flights(self.mission, self.user)
def test_actionable_submission(self):
"""Tests actionable_submission correctly filters submissions."""
# t1 created and updated before take off.
t1 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD)
t1.save()
t1.alphanumeric = 'A'
t1.update_last_modified()
t1.save()
# t2 created before take off and updated in flight.
t2 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD)
t2.save()
event = TakeoffOrLandingEvent(user=self.user,
mission=self.mission,
uas_in_air=True)
event.save()
t2.alphanumeric = 'A'
t2.update_last_modified()
t2.save()
# t3 created and updated in flight.
t3 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD)
t3.save()
t3.alphanumeric = 'A'
t3.update_last_modified()
t3.save()
# t4 created in flight and updated after landing.
t4 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD)
t4.save()
event = TakeoffOrLandingEvent(user=self.user,
mission=self.mission,
uas_in_air=False)
event.save()
t4.alphanumeric = 'A'
t4.update_last_modified()
t4.save()
# t5 created and updated after landing.
t5 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD)
t5.save()
t5.alphanumeric = 'A'
t5.update_last_modified()
t5.save()
# t6 created and updated in second flight.
event = TakeoffOrLandingEvent(user=self.user,
mission=self.mission,
uas_in_air=True)
event.save()
t6 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD)
t6.save()
t6.alphanumeric = 'A'
t6.update_last_modified()
t6.save()
event = TakeoffOrLandingEvent(user=self.user,
mission=self.mission,
uas_in_air=False)
event.save()
# t7 which is not actionable.
event = TakeoffOrLandingEvent(user=self.user,
mission=self.mission,
uas_in_air=True)
event.save()
t7 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD)
event = TakeoffOrLandingEvent(user=self.user,
mission=self.mission,
uas_in_air=False)
event.save()
flights = TakeoffOrLandingEvent.flights(self.mission, self.user)
self.assertFalse(t1.actionable_submission(flights))
self.assertFalse(t2.actionable_submission(flights))
self.assertTrue(t3.actionable_submission(flights))
self.assertFalse(t4.actionable_submission(flights))
self.assertFalse(t5.actionable_submission(flights))
self.assertFalse(t6.actionable_submission(flights))
self.assertFalse(t7.actionable_submission(flights))
def kml(cls, user, logs, kml, kml_doc):
"""
Appends kml nodes describing the given user's flight as described
by the log array given.
Args:
user: A Django User to get username from
logs: A list of UasTelemetry elements
kml: A simpleKML Container to which the flight data will be added
kml_doc: The simpleKML Document to which schemas will be added
Returns:
None
"""
# KML Compliant Datetime Formatter
kml_datetime_format = "%Y-%m-%dT%H:%M:%S.%fZ"
icon = 'http://maps.google.com/mapfiles/kml/shapes/airports.png'
threshold = 1 # Degrees
kml_folder = kml.newfolder(name=user.username)
flights = TakeoffOrLandingEvent.flights(user)
if len(flights) == 0:
return
logs = filter(lambda log: cls._is_bad_position(log, threshold), logs)
for i, flight in enumerate(flights):
label = 'Flight {}'.format(i + 1) # Flights are one-indexed
kml_flight = kml_folder.newfolder(name=label)
flight_logs = filter(lambda x: flight.within(x.timestamp), logs)
if len(flight_logs) < 2:
continue
coords = []
angles = []
when = []
for entry in flight_logs:
pos = entry.uas_position.gps_position
# Spatial Coordinates
coord = (pos.longitude, pos.latitude,
units.feet_to_meters(entry.uas_position.altitude_msl))
coords.append(coord)
# Time Elements
time = entry.timestamp.strftime(kml_datetime_format)
when.append(time)
# Degrees heading, tilt, and roll
angle = (entry.uas_heading, 0.0, 0.0)
angles.append(angle)
# Create a new track in the folder
trk = kml_flight.newgxtrack(name='Flight Path')
trk.altitudemode = AltitudeMode.absolute
# Append flight data
trk.newwhen(when)
trk.newgxcoord(coords)
trk.newgxangle(angles)
# Set styling
trk.extrude = 1 # Extend path to ground
trk.style.linestyle.width = 2
trk.style.linestyle.color = Color.blue
trk.iconstyle.icon.href = icon
for obstacle in MovingObstacle.objects.all():
obstacle.kml(path=flight_logs, kml=kml_flight, kml_doc=kml_doc)
