kopia lustrzana https://github.com/glidernet/ogn-python
108 wiersze
6.3 KiB
Python
108 wiersze
6.3 KiB
Python
from datetime import timedelta
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from celery.utils.log import get_task_logger
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from ogn.collect.celery import app
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from sqlalchemy.sql import func
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from sqlalchemy import and_, or_, insert
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from sqlalchemy.sql.expression import case
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from ogn.model import AircraftBeacon, TakeoffLanding
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logger = get_task_logger(__name__)
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@app.task
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def compute_takeoff_and_landing():
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logger.info("Compute takeoffs and landings.")
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# takeoff / landing detection is based on 3 consecutive points
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takeoff_speed = 55 # takeoff detection: 1st point below, 2nd and 3rd above this limit
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landing_speed = 40 # landing detection: 1st point above, 2nd and 3rd below this limit
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duration = 100 # the points must not exceed this duration
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radius = 0.05 # the points must not exceed this radius (degree!) around the 2nd point
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# calculate the time where the computation starts
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last_takeoff_landing_query = app.session.query(func.max(TakeoffLanding.timestamp))
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begin_computation = last_takeoff_landing_query.one()[0]
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if begin_computation is None:
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# if the table is empty
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last_takeoff_landing_query = app.session.query(func.min(AircraftBeacon.timestamp))
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begin_computation = last_takeoff_landing_query.one()[0]
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if begin_computation is None:
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return 0
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else:
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# we get the beacons async. to be safe we delete takeoffs/landings from last 24 hours and recalculate from then
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begin_computation = begin_computation - timedelta(hours=24)
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app.session.query(TakeoffLanding) \
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.filter(TakeoffLanding.timestamp >= begin_computation) \
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.delete()
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end_computation = begin_computation + timedelta(days=30)
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logger.debug("Calculate takeoffs and landings between {} and {}"
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.format(begin_computation, end_computation))
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# make a query with current, previous and next position
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sq = app.session.query(
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AircraftBeacon.address,
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func.lag(AircraftBeacon.address).over(order_by=and_(AircraftBeacon.address, AircraftBeacon.timestamp)).label('address_prev'),
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func.lead(AircraftBeacon.address).over(order_by=and_(AircraftBeacon.address, AircraftBeacon.timestamp)).label('address_next'),
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AircraftBeacon.timestamp,
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func.lag(AircraftBeacon.timestamp).over(order_by=and_(AircraftBeacon.address, AircraftBeacon.timestamp)).label('timestamp_prev'),
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func.lead(AircraftBeacon.timestamp).over(order_by=and_(AircraftBeacon.address, AircraftBeacon.timestamp)).label('timestamp_next'),
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AircraftBeacon.name,
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func.lag(AircraftBeacon.name).over(order_by=and_(AircraftBeacon.address, AircraftBeacon.timestamp)).label('name_prev'),
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func.lead(AircraftBeacon.name).over(order_by=and_(AircraftBeacon.address, AircraftBeacon.timestamp)).label('name_next'),
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AircraftBeacon.receiver_name,
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func.lag(AircraftBeacon.receiver_name).over(order_by=and_(AircraftBeacon.address, AircraftBeacon.timestamp)).label('receiver_name_prev'),
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func.lead(AircraftBeacon.receiver_name).over(order_by=and_(AircraftBeacon.address, AircraftBeacon.timestamp)).label('receiver_name_next'),
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AircraftBeacon.location_wkt,
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func.lag(AircraftBeacon.location_wkt).over(order_by=and_(AircraftBeacon.address, AircraftBeacon.timestamp)).label('location_wkt_prev'),
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func.lead(AircraftBeacon.location_wkt).over(order_by=and_(AircraftBeacon.address, AircraftBeacon.timestamp)).label('location_wkt_next'),
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AircraftBeacon.track,
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func.lag(AircraftBeacon.track).over(order_by=and_(AircraftBeacon.address, AircraftBeacon.timestamp)).label('track_prev'),
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func.lead(AircraftBeacon.track).over(order_by=and_(AircraftBeacon.address, AircraftBeacon.timestamp)).label('track_next'),
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AircraftBeacon.ground_speed,
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func.lag(AircraftBeacon.ground_speed).over(order_by=and_(AircraftBeacon.address, AircraftBeacon.timestamp)).label('ground_speed_prev'),
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func.lead(AircraftBeacon.ground_speed).over(order_by=and_(AircraftBeacon.address, AircraftBeacon.timestamp)).label('ground_speed_next'),
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AircraftBeacon.altitude,
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func.lag(AircraftBeacon.altitude).over(order_by=and_(AircraftBeacon.address, AircraftBeacon.timestamp)).label('altitude_prev'),
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func.lead(AircraftBeacon.altitude).over(order_by=and_(AircraftBeacon.address, AircraftBeacon.timestamp)).label('altitude_next')) \
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.filter(AircraftBeacon.timestamp >= begin_computation) \
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.filter(AircraftBeacon.timestamp <= end_computation) \
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.order_by(func.date(AircraftBeacon.timestamp), AircraftBeacon.address, AircraftBeacon.timestamp) \
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.subquery()
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# find takeoffs and landings
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takeoff_landing_query = app.session.query(
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sq.c.address,
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sq.c.name,
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sq.c.receiver_name,
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sq.c.timestamp,
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sq.c.location,
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sq.c.track,
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sq.c.ground_speed,
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sq.c.altitude,
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case([(sq.c.ground_speed > takeoff_speed, True),
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(sq.c.ground_speed < landing_speed, False)]).label('is_takeoff')) \
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.filter(sq.c.address_prev == sq.c.address == sq.c.address_next) \
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.filter(or_(and_(sq.c.ground_speed_prev < takeoff_speed, # takeoff
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sq.c.ground_speed > takeoff_speed,
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sq.c.ground_speed_next > takeoff_speed),
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and_(sq.c.ground_speed_prev > landing_speed, # landing
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sq.c.ground_speed < landing_speed,
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sq.c.ground_speed_next < landing_speed))) \
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.filter(sq.c.timestamp_next - sq.c.timestamp_prev < timedelta(seconds=duration)) \
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.filter(and_(func.ST_DFullyWithin(sq.c.location, sq.c.location_wkt_prev, radius),
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func.ST_DFullyWithin(sq.c.location, sq.c.location_wkt_next, radius))) \
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.order_by(func.date(sq.c.timestamp), sq.c.timestamp)
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# ... and save them
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ins = insert(TakeoffLanding).from_select((TakeoffLanding.address, TakeoffLanding.name, TakeoffLanding.receiver_name, TakeoffLanding.timestamp, TakeoffLanding.location_wkt, TakeoffLanding.track, TakeoffLanding.ground_speed, TakeoffLanding.altitude, TakeoffLanding.is_takeoff), takeoff_landing_query)
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result = app.session.execute(ins)
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counter = result.rowcount
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app.session.commit()
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logger.debug("New/recalculated takeoffs and landings: {}".format(counter))
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return counter
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