def flight_detail(request, slug):
print 'loading' + slug
flight=Flight.objects.get(slug=slug)
timelineEventList=[]
heartbeats=flight.mavmessage_set.filter(msgType='HEARTBEAT')
#Timeline data construction
for heartbeat in heartbeats:
try:
timelineEventList.append(
{"start":dt2jsts(heartbeat.timestamp),
"content":"HB",
"group":"Heartbeat"})
except AttributeError:
pass
for video in flight.flightvideo_set.all():
start_time=dt2jsts(flight.start_time()+datetime.timedelta(seconds=video.delayVsLogstart))
timelineDictForVid={"start":start_time,"group":"Video","editable":True}
if video.onboard:
timelineDictForVid['content']='Start of onboard video '
else:
timelineDictForVid['content']='Start of offboard video ' + video.url
timelineDictForVid['vidUrl']=video.url
timelineDictForVid['pk']=video.pk
timelineEventList.append(timelineDictForVid)
#add start and end of log
if flight.is_tlog:
log_type='Mavlink telemetry log'
else:
log_type='APM dataflash log'
timelineEventList.append({'start':dt2jsts(flight.start_time()),
'end':dt2jsts(flight.end_time()),
'group':'Logs',
'content':'%s %s' % (log_type, flight.logfile.name)})
for evt in flight.flightevent_set.all():
print evt
timelineDictForEvt={"start":dt2jsts(evt.timestamp), "content":evt.get_eventType_display(), "comment":evt.comment}
timelineDictForEvt['group']='Flight events'
timelineDictForEvt['pk']=evt.pk
#timelineDictForEvt['detectionMethod']=evt.detection_method
#Text that explains how the event was created and link to confirm it if it was automatic
if evt.automatically_detected:
timelineDictForEvt['className']='autodetected'
timelineDictForEvt['confirmed']='false'
else:
timelineDictForEvt['confirmed']='true'
timelineEventList.append(timelineDictForEvt)
return render(request, 'flight_detail.html',{
'timeline_data':json.dumps(timelineEventList),
'initial_plot':fltdata.initial_plot(flight),
'object':flight})
def plotDataJSON(request):
right_axis_msgfield=request.GET.get('right_axis')
left_axis_msgfield=request.GET.get('left_axis')
flight=request.GET.get('flight')
rdataQuery=MavDatum.objects.filter(message__flight__slug=flight, msgField=right_axis_msgfield)
right_axis_data=rdataQuery.values_list('message__timestamp','value')
ldataQuery=MavDatum.objects.filter(message__flight__slug=flight, msgField=left_axis_msgfield)
left_axis_data=ldataQuery.values_list('message__timestamp','value')
right_axis_data= '['+','.join([r'[%.1f,%.1f]' % (dt2jsts(timestamp),value) for timestamp, value in right_axis_data])+']'
left_axis_data= '['+','.join([r'[%.1f,%.1f]' % (dt2jsts(timestamp),value) for timestamp, value in left_axis_data])+']'
data='[%s,%s]' % (right_axis_data,left_axis_data)
return HttpResponse(data, content_type='application/json')
def sensor_plot_data(flight, msg_field):
dataQ = logbrowse.models.MavDatum.objects.filter(message__flight=flight,
msgField=msg_field)
vals = dataQ.values_list('message__timestamp', 'value')
return ','.join([
r'[%.1f,%.1f]' % (dt2jsts(timestamp), value)
for timestamp, value in vals
])
def plotDataJSON(request):
right_axis_msgfield = request.GET.get('right_axis')
left_axis_msgfield = request.GET.get('left_axis')
flight = request.GET.get('flight')
rdataQuery = MavDatum.objects.filter(message__flight__slug=flight,
msgField=right_axis_msgfield)
right_axis_data = rdataQuery.values_list('message__timestamp', 'value')
ldataQuery = MavDatum.objects.filter(message__flight__slug=flight,
msgField=left_axis_msgfield)
left_axis_data = ldataQuery.values_list('message__timestamp', 'value')
right_axis_data = '[' + ','.join([
r'[%.1f,%.1f]' % (dt2jsts(timestamp), value)
for timestamp, value in right_axis_data
]) + ']'
left_axis_data = '[' + ','.join([
r'[%.1f,%.1f]' % (dt2jsts(timestamp), value)
for timestamp, value in left_axis_data
]) + ']'
data = '[%s,%s]' % (right_axis_data, left_axis_data)
return HttpResponse(data, content_type='application/json')
def flight_index(request, pilot=None):
if pilot:
flights=Flight.objects.filter(pilot__username=pilot)
else:
flights=Flight.objects.all()
timelineEventList=[]
flightStartLocs=[]
flightStartLocsJSON = {
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry":
{
"type": "MultiPoint",
"coordinates": flightStartLocs
},
},]
};
for flight in flights:
#optimize this later-- should be single db transaction
try:
timelineEventList.append(
{"start":flight.start_time().isoformat(),
"end":flight.start_time().isoformat(),
"content":"<a href=%s logpk=%s>%s</a>" % (flight.get_absolute_url(), flight.pk, flight.pk),
"group":"flight",
"test":"test"
})
except AttributeError:
pass
# Get the last GPS coordinate for each flight to add to the flight index map.
# We use the last one because it's more likely to be a better fix that the first.
try:
lat, lon = flight.location()
if lon != 0 and lat != 0: #TODO should actually check the GPS_STATUS messages to throw away points where there is no fix
if flight.is_tlog:
lat=lat/1e7
lon=lon/1e7
flightStartLocsJSON['features'].append(
{
"type":"Feature",
"geometry":{
"type":"Point",
"coordinates":[lon,lat]
},
"properties":{"number":unicode(flight.pk),"name":unicode(flight),"slug":flight.slug}
})
#should be except DoesNotExist, find where to import that from
except:
pass
for video in FlightVideo.objects.all():
vidDescription="<a href=%s>" % video.url
#if video.onboard:
#vidDescription+="Start of onboard video"
#else:
#vidDescription+="Start of offboard video"
vidDescription+="</a>"
try:
timelineEventList.append(
{"start":dt2jsts(video.start_time),
"content":vidDescription,
"group":"video"})
except AttributeError:
pass
return render(request,
'flight_list.html',
{
'object_list':flights,
'timeline_data': json.dumps(timelineEventList),
'flightStartLocs': json.dumps(flightStartLocsJSON)
})
def sensor_plot_data(flight, msg_field):
dataQ=logbrowse.models.MavDatum.objects.filter(message__flight=flight, msgField=msg_field)
vals=dataQ.values_list('message__timestamp','value')
return ','.join([r'[%.1f,%.1f]' % (dt2jsts(timestamp),value) for timestamp, value in vals])
def gps_timestamps(flight):
#unfortunately the timestamps end up with L for 'long' in the JS unless we remove them here.
#Actually, could probably do the multiplication by 1000 to convert to JS timestamp on the client side.
#return str(longTstamps).replace('L','')
return [dt2jsts(timestamp) for timestamp in flight.gps_times()]
def start_time_js(self):
return dt2jsts(self.start_time())
def gps_timestamps(flight):
#unfortunately the timestamps end up with L for 'long' in the JS unless we remove them here.
#Actually, could probably do the multiplication by 1000 to convert to JS timestamp on the client side.
#return str(longTstamps).replace('L','')
return [dt2jsts(timestamp) for timestamp in flight.gps_times()]
def start_time_js(self):
return dt2jsts(self.start_time())
def flight_index(request, pilot=None):
if pilot:
flights = Flight.objects.filter(pilot__username=pilot)
else:
flights = Flight.objects.all()
timelineEventList = []
flightStartLocs = []
flightStartLocsJSON = {
"type":
"FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": {
"type": "MultiPoint",
"coordinates": flightStartLocs
},
},
]
}
for flight in flights:
#optimize this later-- should be single db transaction
try:
timelineEventList.append({
"start":
flight.start_time().isoformat(),
"end":
flight.start_time().isoformat(),
"content":
"<a href=%s logpk=%s>%s</a>" %
(flight.get_absolute_url(), flight.pk, flight.pk),
"group":
"flight",
"test":
"test"
})
except AttributeError:
pass
# Get the last GPS coordinate for each flight to add to the flight index map.
# We use the last one because it's more likely to be a better fix that the first.
try:
lat, lon = flight.location()
if lon != 0 and lat != 0: #TODO should actually check the GPS_STATUS messages to throw away points where there is no fix
if flight.is_tlog:
lat = lat / 1e7
lon = lon / 1e7
flightStartLocsJSON['features'].append({
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [lon, lat]
},
"properties": {
"number": unicode(flight.pk),
"name": unicode(flight),
"slug": flight.slug
}
})
#should be except DoesNotExist, find where to import that from
except:
pass
for video in FlightVideo.objects.all():
vidDescription = "<a href=%s>" % video.url
#if video.onboard:
#vidDescription+="Start of onboard video"
#else:
#vidDescription+="Start of offboard video"
vidDescription += "</a>"
try:
timelineEventList.append({
"start": dt2jsts(video.start_time),
"content": vidDescription,
"group": "video"
})
except AttributeError:
pass
return render(
request, 'flight_list.html', {
'object_list': flights,
'timeline_data': json.dumps(timelineEventList),
'flightStartLocs': json.dumps(flightStartLocsJSON)
})
def flight_detail(request, slug):
print 'loading' + slug
flight = Flight.objects.get(slug=slug)
timelineEventList = []
heartbeats = flight.mavmessage_set.filter(msgType='HEARTBEAT')
#Timeline data construction
for heartbeat in heartbeats:
try:
timelineEventList.append({
"start": dt2jsts(heartbeat.timestamp),
"content": "HB",
"group": "Heartbeat"
})
except AttributeError:
pass
for video in flight.flightvideo_set.all():
start_time = dt2jsts(flight.start_time() +
datetime.timedelta(seconds=video.delayVsLogstart))
timelineDictForVid = {
"start": start_time,
"group": "Video",
"editable": True
}
if video.onboard:
timelineDictForVid['content'] = 'Start of onboard video '
else:
timelineDictForVid[
'content'] = 'Start of offboard video ' + video.url
timelineDictForVid['vidUrl'] = video.url
timelineDictForVid['pk'] = video.pk
timelineEventList.append(timelineDictForVid)
#add start and end of log
if flight.is_tlog:
log_type = 'Mavlink telemetry log'
else:
log_type = 'APM dataflash log'
timelineEventList.append({
'start':
dt2jsts(flight.start_time()),
'end':
dt2jsts(flight.end_time()),
'group':
'Logs',
'content':
'%s %s' % (log_type, flight.logfile.name)
})
for evt in flight.flightevent_set.all():
print evt
timelineDictForEvt = {
"start": dt2jsts(evt.timestamp),
"content": evt.get_eventType_display(),
"comment": evt.comment
}
timelineDictForEvt['group'] = 'Flight events'
timelineDictForEvt['pk'] = evt.pk
#timelineDictForEvt['detectionMethod']=evt.detection_method
#Text that explains how the event was created and link to confirm it if it was automatic
if evt.automatically_detected:
timelineDictForEvt['className'] = 'autodetected'
timelineDictForEvt['confirmed'] = 'false'
else:
timelineDictForEvt['confirmed'] = 'true'
timelineEventList.append(timelineDictForEvt)
return render(
request, 'flight_detail.html', {
'timeline_data': json.dumps(timelineEventList),
'initial_plot': fltdata.initial_plot(flight),
'object': flight
})