#
# Copyright 2010 Nick Foster
#
# This file is part of gr-air-modes
#
# gr-air-modes is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3, or (at your option)
# any later version.
#
# gr-air-modes is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gr-air-modes; see the file COPYING. If not, write to
# the Free Software Foundation, Inc., 51 Franklin Street,
# Boston, MA 02110-1301, USA.
#
import sqlite3
import string, math, threading, time
class output_kml(threading.Thread):
def __init__(self, filename, dbname, localpos, lock, timeout=5):
threading.Thread.__init__(self)
self._dbname = dbname
self._filename = filename
self.my_coords = localpos
self._timeout = timeout
self._lock = lock
self.shutdown = threading.Event()
self.finished = threading.Event()
self.setDaemon(1)
self.start()
def run(self):
self._db = sqlite3.connect(self._dbname) #read from the db
while self.shutdown.is_set() is False:
self.writekml()
time.sleep(self._timeout)
self._db.close()
self._db = None
self.finished.set()
def close(self):
self.shutdown.set()
self.finished.wait(0.2)
#there's a bug here where self._timeout is long and close() has
#to wait for the sleep to expire before closing. we just bail
#instead with the 0.2 param above.
def writekml(self):
kmlstr = self.genkml()
if kmlstr is not None:
f = open(self._filename, 'w')
f.write(kmlstr)
f.close()
def locked_execute(self, c, query):
with self._lock:
c.execute(query)
def draw_circle(self, center, rng):
retstr = ""
steps=30
#so we're going to do this by computing a bearing angle based on the steps, and then compute the coordinate of a line extended from the center point to that range.
[center_lat, center_lon] = center
esquared = (1/298.257223563)*(2-(1/298.257223563))
earth_radius_mi = 3963.19059
#here we figure out the circumference of the latitude ring
#which tells us how wide one line of longitude is at our latitude
lat_circ = earth_radius_mi * math.cos(center_lat)
#the circumference of the longitude ring will be equal to the circumference of the earth
lat_rad = math.radians(center_lat)
lon_rad = math.radians(center_lon)
tmp0 = rng / earth_radius_mi
for i in range(0, steps+1):
bearing = i*(2*math.pi/steps) #in radians
lat_out = math.degrees(math.asin(math.sin(lat_rad)*math.cos(tmp0) + math.cos(lat_rad)*math.sin(tmp0)*math.cos(bearing)))
lon_out = center_lon + math.degrees(math.atan2(math.sin(bearing)*math.sin(tmp0)*math.cos(lat_rad), math.cos(tmp0)-math.sin(lat_rad)*math.sin(math.radians(lat_out))))
retstr += " %.8f,%.8f, 0" % (lon_out, lat_out,)
retstr = string.lstrip(retstr)
return retstr
def genkml(self):
#first let's draw the static content
retstr="""\n\n\n\t\n\t\n\t"""
if self.my_coords is not None:
retstr += """\n\t\n\t\tRange rings\n\t\t0"""
for rng in [100, 200, 300]:
retstr += """\n\t\t\n\t\t\t%inm\n\t\t\t#rangering\n\t\t\t\n\t\t\t\t%s\n\t\t\t\n\t\t""" % (rng, self.draw_circle(self.my_coords, rng),)
retstr += """\t\n"""
retstr += """\t\n\t\tAircraft locations\n\t\t0"""
#read the database and add KML
q = "select distinct icao from positions where seen > datetime('now', '-5 minute')"
c = self._db.cursor()
self.locked_execute(c, q)
icaolist = c.fetchall()
#now we have a list icaolist of all ICAOs seen in the last 5 minutes
for icao in icaolist:
#print "ICAO: %x" % icao
q = "select * from positions where icao=%i and seen > datetime('now', '-2 hour') ORDER BY seen DESC" % icao
self.locked_execute(c, q)
track = c.fetchall()
#print "Track length: %i" % len(track)
if len(track) != 0:
lat = track[0][3]
if lat is None: lat = 0
lon = track[0][4]
if lon is None: lon = 0
alt = track[0][2]
if alt is None: alt = 0
metric_alt = alt * 0.3048 #google earth takes meters, the commie bastards
trackstr = ""
for pos in track:
trackstr += " %f,%f,%f" % (pos[4], pos[3], pos[2]*0.3048)
trackstr = string.lstrip(trackstr)
else:
alt = 0
metric_alt = 0
lat = 0
lon = 0
trackstr = str("")
#now get metadata
q = "select ident from ident where icao=%i" % icao
self.locked_execute(c, q)
r = c.fetchall()
if len(r) != 0:
ident = r[0][0]
else: ident=""
#if ident is None: ident = ""
#get most recent speed/heading/vertical
q = "select seen, speed, heading, vertical from vectors where icao=%i order by seen desc limit 1" % icao
self.locked_execute(c, q)
r = c.fetchall()
if len(r) != 0:
seen = r[0][0]
speed = r[0][1]
heading = r[0][2]
vertical = r[0][3]
else:
seen = 0
speed = 0
heading = 0
vertical = 0
#now generate some KML
retstr+= "\n\t\t\n\t\t\t%s\n\t\t\t\n\t\t\t#airplane\n\t\t\t\n\t\t\t\tHeading: %i
Speed: %i
Vertical speed: %i
ICAO: %x
Last seen: %s]]>\n\t\t\t\n\t\t\t\n\t\t\t\tabsolute\n\t\t\t\t1\n\t\t\t\t%s,%s,%i\n\t\t\t\n\t\t" % (ident, heading, alt, heading, speed, vertical, icao[0], seen, lon, lat, metric_alt, )
retstr+= "\n\t\t\n\t\t\t#track\n\t\t\t\n\t\t\t\t0\n\t\t\t\tabsolute\n\t\t\t\t%s\n\t\t\t\n\t\t" % (trackstr,)
retstr+= '\n\t\n\n'
return retstr
#we just inherit from output_kml because we're doing the same thing, only in a different format.
class output_jsonp(output_kml):
def set_highlight(self, icao):
self.highlight = icao
def genkml(self):
retstr="""jsonp_callback(["""
# if self.my_coords is not None:
# retstr += """\n\t\n\t\tRange rings\n\t\t0"""
# for rng in [100, 200, 300]:
# retstr += """\n\t\t\n\t\t\t%inm\n\t\t\t#rangering\n\t\t\t\n\t\t\t\t%s\n\t\t\t\n\t\t""" % (rng, self.draw_circle(self.my_coords, rng),)
# retstr += """\t\n"""
# retstr += """\t\n\t\tAircraft locations\n\t\t0"""
#read the database and add KML
q = "select distinct icao from positions where seen > datetime('now', '-5 minute')"
c = self._db.cursor()
self.locked_execute(c, q)
icaolist = c.fetchall()
#now we have a list icaolist of all ICAOs seen in the last 5 minutes
for icao in icaolist:
icao = icao[0]
#now get metadata
q = "select ident, type from ident where icao=%i" % icao
self.locked_execute(c, q)
r = c.fetchall()
if len(r) != 0:
ident = r[0][0]
actype = r[0][1]
else:
ident=""
actype = ""
if ident is None: ident = ""
#get most recent speed/heading/vertical
q = "select seen, speed, heading, vertical from vectors where icao=%i order by seen desc limit 1" % icao
self.locked_execute(c, q)
r = c.fetchall()
if len(r) != 0:
seen = r[0][0]
speed = r[0][1]
heading = r[0][2]
vertical = r[0][3]
else:
seen = 0
speed = 0
heading = 0
vertical = 0
q = "select lat, lon, alt from positions where icao=%i order by seen desc limit 1" % icao
self.locked_execute(c, q)
r = c.fetchall()
if len(r) != 0:
lat = r[0][0]
lon = r[0][1]
alt = r[0][2]
else:
lat = 0
lon = 0
alt = 0
highlight = 0
if hasattr(self, 'highlight'):
if self.highlight == icao:
highlight = 1
#now generate some JSONP
retstr+= """{"icao": "%.6x", "lat": %f, "lon": %f, "alt": %i, "hdg": %i, "speed": %i, "vertical": %i, "ident": "%s", "type": "%s", "highlight": %i},""" % (icao, lat, lon, alt, heading, speed, vertical, ident, actype, highlight)
retstr+= """]);"""
return retstr