def exportTrack(iesGraph, track, output="file", epsgCode="4326"):
#The track dictionary should already have min and max timestamps for the pings it contains
ies.initialiseGraph(iesGraph=iesGraph)
#Add a parent observation
obs = ies.instantiate(iesGraph=iesGraph, _class=ies.observation)
ies.startsIn(iesGraph=iesGraph,
item=obs,
timeString=track["minDateTime"].isoformat())
ies.endsIn(iesGraph=iesGraph,
item=obs,
timeString=track["maxDateTime"].isoformat())
measures = dict({})
#Now add the measure classes for Speed Over Ground and Course Over Ground...and knots for the Unit Of Measure
measures["sogClass"] = ies.instantiate(iesGraph=iesGraph,
_class=ies.classOfMeasure,
instance=URIRef(ies.dataUri +
"SpeedOverGround"))
measures["cogClass"] = ies.instantiate(iesGraph=iesGraph,
_class=ies.classOfMeasure,
instance=URIRef(ies.dataUri +
"CourseOverGround"))
measures["knots"] = ies.instantiate(iesGraph=iesGraph,
_class=ies.unitOfMeasure,
instance=URIRef(ies.dataUri + "Knots"))
measures["degTN"] = ies.instantiate(iesGraph=iesGraph,
_class=ies.unitOfMeasure,
instance=URIRef(ies.dataUri +
"DegreesTrueNorth"))
ies.addName(iesGraph=iesGraph,
item=measures["sogClass"],
nameString="Speed Over Ground")
ies.addName(iesGraph=iesGraph,
item=measures["cogClass"],
nameString="Course Over Ground")
ies.addName(iesGraph=iesGraph, item=measures["knots"], nameString="knots")
ies.addName(iesGraph=iesGraph,
item=measures["degTN"],
nameString="degrees true North")
#add the location transponder - We don't know this is necessarily a vessel. All we know is that we have a LocationTransponder.
lt = ies.createLocationTransponder(iesGraph=iesGraph, mmsi=track["id"])
obsvd = ies.instantiate(iesGraph=iesGraph, _class=ies.observedTarget)
ies.addToGraph(iesGraph=iesGraph, subject=obsvd, predicate=ies.ipo, obj=lt)
ies.addToGraph(iesGraph=iesGraph,
subject=obsvd,
predicate=ies.ipi,
obj=obs)
#now go through the individual location observations and add those...
for ping in track["pings"]:
createLocationObservation(iesGraph=iesGraph,
ping=ping,
transponder=lt,
obs=obs,
measures=measures)
if output == "kafka":
ies.sendToKafka(iesGraph=iesGraph,
kProducer=kafkaBroker,
kTopic=iesKafkaTopic)
else:
ies.saveRdf(
iesGraph, './data/track' + track["id"] + '-' +
str(track["counter"]) + '.ies.ttl')
iso3166ThreeLetterCountryCode,
idClass=ies.iso3166A3,
idUri=URIRef("http://iso.org/iso3166-alpha3#" +
iso3166ThreeLetterCountryCode + "_code"))
ies.addToGraph(iesGraph, port, ies.ipao, country)
sailing = ies.instantiate(iesGraph, ies.sailing)
vu = ies.instantiate(iesGraph, ies.vehicleUsed)
ies.addToGraph(iesGraph, vu, ies.ipo, vessel)
ies.addToGraph(iesGraph, vu, ies.ipi, sailing)
arrival = ies.instantiate(iesGraph, ies.arrival)
ies.addToGraph(iesGraph, arrival, ies.ieo, sailing)
ies.addToGraph(iesGraph, arrival, ies.il, port)
ies.assessPwProbability(
iesGraph, [sailing, vu, arrival], TrackAnalytics, probability,
True, assessmentDT) #Add the probability of the coopering
def testDestination():
predictedDestination(
iesGraph, '234234000',
[["Pontefract", "GB POF", "GBR", 0.5], ["Hull", "GB HUL", "GBR", 0.3],
["Ackworth", "GB AMT ", "GBR", 0.2]], "2021-08-12T09:00:00")
ies.saveRdf(iesGraph, "ta-pred-dest.ttl")
iesGraph = ies.initialiseGraph()
TrackAnalytics = ies.createSystem(
iesGraph, "TrackAnalytics",
URIRef("http://trackanalytics.dstl.gov.uk/TrackAnalytics"))
testCooper()
#testDestination()
trackDict[mmsi]["minDateTime"] = dt
if len(trackDict[mmsi]["pings"]) >= batchSize:
#batch size for track has been reached, time to export a track
exportTrack(graph, trackDict[mmsi], output)
trackDict[mmsi]["minDateTime"] = None
trackDict[mmsi]["maxDateTime"] = None
trackDict[mmsi]["pings"] = []
trackDict[mmsi]["counter"] = trackDict[mmsi]["counter"] + 1
else:
trackDict[mmsi] = {
"id": mmsi,
"pings": [row],
"minDateTime": dt,
"maxDateTime": dt,
"counter": 0
}
sleep(delay)
#Set up the rdf graph
graph = ies.initialiseGraph(None)
#Now process the data in the database (each row comes out as a tuple)
# 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
# MMSI, BaseDateTime, LAT, LON, SOG, COG, Heading, VesselName, IMO, CallSign, VesselType, Status, Length, Width, Draft, Cargo
#The important thing here is whether or not you use Kafka. Change the global useKafka variable at the top of the script to change this.
processDatabase(dbFileName=aisDB,
delay=pingDelay,
batchSize=trackSize,
output=iesOutput)