if conf.weatherServerPid is not False:
            print('Killing old server with pid %d' % conf.weatherServerPid)
            os.kill(conf.weatherServerPid, signal.SIGTERM)
            time.sleep(2)
            conf.serverLoad()
            server = SocketServer.UDPServer(("localhost", conf.server_port),
                                            ClientHandler)

    # Save pid
    conf.weatherServerPid = os.getpid()
    conf.serverSave()

    # Weather classes
    gfs = GFS(conf)
    metar = Metar(conf)
    wafs = WAFS(conf)

    # Init worker thread
    worker = Worker([gfs, metar, wafs], conf.parserate)
    worker.start()

    print('Server started.')

    # Server loop
    try:
        server.serve_forever()
    except KeyboardInterrupt:
        pass

    # Close gfs worker and save config
    worker.shutdown()
Example #2
0
 def __init__(self, conf):
     self.conf = conf
     self.lastgrib = self.conf.lastgrib
     self.wafs = WAFS(conf)
     self.metar = Metar(conf)
     threading.Thread.__init__(self)
Example #3
0
class GFS(threading.Thread):
    '''
    NOAA GFS download and parse functions.
    '''
    cycles = [0, 6, 12, 18]
    baseurl = 'https://nomads.ncep.noaa.gov/cgi-bin/filter_gfs_0p50.pl?'

    params = [
              'leftlon=0',
              'rightlon=360',
              'toplat=90',
              'bottomlat=-90',
              ]
    levels  = [
              '700_mb', # FL100
              '600_mb', # FL140
              '500_mb', # FL180
              '400_mb', # FL235
              '300_mb', # FL300
              '200_mb', # FL380
              '150_mb', # FL443
              '100_mb', # FL518
              'high_cloud_bottom_level',
              'high_cloud_layer',
              'high_cloud_top_level',
              'low_cloud_bottom_level',
              'low_cloud_layer',
              'low_cloud_top_level',
              'mean_sea_level',
              'middle_cloud_bottom_level',
              'middle_cloud_layer',
              'middle_cloud_top_level',
              #'surface',
               ]
    variables = ['PRES',
                 'TCDC',
                 'UGRD',
                 'VGRD',
                 'TMP',
                 'PRMSL',
                 'RH',
                 ]
    nwinds, nclouds = 0, 0

    downloading = False
    downloadWait = 0
    # wait n seconds to start download
    lastgrib    = False

    lat, lon, lastlat, lastlon = False, False, False, False

    cycle = ''
    lastcycle = ''

    newGrib = False
    parsed_latlon = (0, 0)

    die = threading.Event()
    dummy = threading.Event()
    lock = threading.Lock()

    def __init__(self, conf):
        self.conf = conf
        self.lastgrib = self.conf.lastgrib
        self.wafs = WAFS(conf)
        self.metar = Metar(conf)
        threading.Thread.__init__(self)

    def run(self):
        # Worker thread
        while not self.die.wait(self.conf.parserate):

            if not self.conf.enabled:
                continue

            datecycle, cycle, forecast = self.getCycleDate()

            if self.downloadWait < 1:
                self.downloadCycle(datecycle, cycle, forecast)
            elif self.downloadWait > 0:
                self.downloadWait -= self.conf.parserate

            # Run WAFS worker
            self.wafs.run(self.lat, self.lon, self.conf.parserate)

            # Run Metar worker
            self.metar.run(self.lat, self.lon, self.conf.parserate)

            if self.die.isSet():
                # Kill downloaders if avaliable
                if self.wafs and self.wafs.downloading and self.wafs.download:
                    self.wafs.download.die()
                if self.downloading and self.download:
                    self.download.die()
                return

            # flush stdout
            sys.stdout.flush()

    def getCycleDate(self):
        '''
        Returns last cycle date avaliable
        '''
        now = datetime.utcnow()
        #cycle is published with 4 hours 25min delay
        cnow = now - timedelta(hours=4, minutes=25)
        #get last cycle
        for cycle in self.cycles:
            if cnow.hour >= cycle:
                lcycle = cycle
        # Forecast
        adjs = 0
        if cnow.day != now.day:
            adjs = +24
        forecast = (adjs + now.hour - lcycle)/3*3

        return ( '%d%02d%02d%02d' % (cnow.year, cnow.month, cnow.day, lcycle), lcycle, forecast)

    def downloadCycle(self, datecycle, cycle, forecast):
        '''
        Downloads the requested grib file
        '''

        filename = 'gfs.t%02dz.pgrb2full.0p50.f0%02d' % (cycle, forecast)

        path = os.sep.join([self.conf.cachepath, 'gfs'])
        cachefile = os.sep.join(['gfs', '%s_%s.grib2' % (datecycle, filename)])

        if cachefile == self.lastgrib:
            # No need to download
            return

        if not os.path.exists(path):
            os.makedirs(path)

        if self.downloading == True:
            if not self.download.q.empty():

                #Finished downloading
                lastgrib = self.download.q.get()

                # Dowload success
                if lastgrib:
                    if not self.conf.keepOldFiles and self.conf.lastgrib:
                        util.remove(os.sep.join([self.conf.cachepath, self.conf.lastgrib]))
                    self.lastgrib = lastgrib
                    self.conf.lastgrib = self.lastgrib
                    self.newGrib = True
                    #print "new grib file: " + self.lastgrib
                else:
                    # Wait a minute
                    self.downloadWait = 60

                self.downloading = False

        elif self.conf.download and self.downloadWait < 1:
            # Download new grib

            ## Build download url
            params = self.params;
            dir =  'dir=%%2Fgfs.%s' % (datecycle)
            params.append(dir)
            params.append('file=' + filename)

            # add variables
            for level in self.levels:
                params.append('lev_' + level + '=1')
            for var in self.variables:
                params.append('var_' + var + '=1')

            url = self.baseurl + '&'.join(params)

            #print('XPGFS: downloading %s' % (url))
            self.downloading = True
            self.download = AsyncDownload(self.conf, url, cachefile)

        return False

    def parseGribData(self, filepath, lat, lon):
        '''
        Executes wgrib2 and parses its output
        '''
        args = ['-s',
                '-lon',
                '%f' % (lon),
                '%f' % (lat),
                os.sep.join([self.conf.cachepath, filepath])
                ]
        if self.conf.spinfo:
            p = subprocess.Popen([self.conf.wgrib2bin] + args, stdout=subprocess.PIPE, startupinfo=self.conf.spinfo, shell=True)
        else:
            p = subprocess.Popen([self.conf.wgrib2bin] + args, stdout=subprocess.PIPE)
        it = iter(p.stdout)
        data = {}
        clouds = {}
        pressure = False
        for line in it:
            r = line[:-1].split(':')
            # Level, variable, value
            level, variable, value = [r[4].split(' '),  r[3],  r[7].split(',')[2].split('=')[1]]

            if len(level) > 1:
                if level[1] == 'cloud':
                    #cloud layer
                    clouds.setdefault(level[0], {})
                    if len(level) > 3 and variable == 'PRES':
                        clouds[level[0]][level[2]] = value
                    else:
                        #level coverage/temperature
                        clouds[level[0]][variable] = value
                elif level[1] == 'mb':
                    # wind levels
                    data.setdefault(level[0], {})
                    data[level[0]][variable] = value
                elif level[0] == 'mean':
                    if variable == 'PRMSL':
                        pressure = c.pa2inhg(float(value))

        windlevels = []
        cloudlevels = []

        # Let data ready to push on datarefs.

        # Convert wind levels
        for level in data:
            wind = data[level]
            if 'UGRD' in wind and 'VGRD' in wind:
                hdg, vel = c.c2p(float(wind['UGRD']), float(wind['VGRD']))
                #print wind['UGRD'], wind['VGRD'], float(wind['UGRD']), float(wind['VGRD']), hdg, vel
                alt = c.mb2alt(float(level))

                # Optional varialbes
                temp, rh, dew = False, False, False
                # Temperature
                if 'TMP' in wind:
                    temp = float(wind['TMP'])
                # Relative Humidity
                if 'RH' in wind:
                    rh = float(wind['RH'])
                else:
                    temp = False

                if temp and rh:
                    dew = c.dewpoint(temp, rh)

                windlevels.append([alt, hdg, c.ms2knots(vel), {'temp': temp, 'rh': rh, 'dew': dew, 'gust': 0}])
                #print 'alt: %i rh: %i vis: %i' % (alt, float(wind['RH']), vis)

        # Convert cloud level
        for level in clouds:
            level = clouds[level]
            if 'top' in level and 'bottom' in level and 'TCDC' in level:
                top, bottom, cover = float(level['top']), float(level['bottom']), float(level['TCDC'])
                #print "XPGFS: top: %.0fmbar %.0fm, bottom: %.0fmbar %.0fm %d%%" % (top * 0.01, c.mb2alt(top * 0.01), bottom * 0.01, c.mb2alt(bottom * 0.01), cover)

                #if bottom > 1 and alt > 1:
                cloudlevels.append([c.mb2alt(bottom * 0.01) * 0.3048, c.mb2alt(top * 0.01) * 0.3048, cover])
                #XP10
                #cloudlevels.append((c.mb2alt(bottom * 0.01) * 0.3048, c.mb2alt(top * 0.01) * 0.3048, cover/10))

        windlevels.sort()
        cloudlevels.sort()

        data = {
                'winds': windlevels,
                'clouds': cloudlevels,
                'pressure': pressure
                }

        return data
Example #4
0
 def __init__(self, conf):
     self.conf = conf
     self.lastgrib = self.conf.lastgrib
     self.wafs = WAFS(conf)
     self.metar = Metar(conf)
     threading.Thread.__init__(self)
Example #5
0
class GFS(threading.Thread):
    '''
    NOAA GFS download and parse functions.
    '''
    cycles = [0, 6, 12, 18]
    baseurl = 'http://nomads.ncep.noaa.gov/cgi-bin/filter_gfs_0p50.pl?'

    params = [
        'leftlon=0',
        'rightlon=360',
        'toplat=90',
        'bottomlat=-90',
    ]
    levels = [
        '700_mb',  # FL100
        '600_mb',  # FL140
        '500_mb',  # FL180
        '400_mb',  # FL235
        '300_mb',  # FL300
        '200_mb',  # FL380
        '150_mb',  # FL443
        '100_mb',  # FL518
        'high_cloud_bottom_level',
        'high_cloud_layer',
        'high_cloud_top_level',
        'low_cloud_bottom_level',
        'low_cloud_layer',
        'low_cloud_top_level',
        'mean_sea_level',
        'middle_cloud_bottom_level',
        'middle_cloud_layer',
        'middle_cloud_top_level',
        #'surface',
    ]
    variables = [
        'PRES',
        'TCDC',
        'UGRD',
        'VGRD',
        'TMP',
        'PRMSL',
        'RH',
    ]
    nwinds, nclouds = 0, 0

    downloading = False
    downloadWait = 0
    # wait n seconds to start download
    lastgrib = False

    lat, lon, lastlat, lastlon = False, False, False, False

    cycle = ''
    lastcycle = ''

    newGrib = False
    parsed_latlon = (0, 0)

    die = threading.Event()
    dummy = threading.Event()
    lock = threading.Lock()

    def __init__(self, conf):
        self.conf = conf
        self.lastgrib = self.conf.lastgrib
        self.wafs = WAFS(conf)
        self.metar = Metar(conf)
        threading.Thread.__init__(self)

    def run(self):
        # Worker thread
        while not self.die.wait(self.conf.parserate):

            if not self.conf.enabled:
                continue

            datecycle, cycle, forecast = self.getCycleDate()

            if self.downloadWait < 1:
                self.downloadCycle(datecycle, cycle, forecast)
            elif self.downloadWait > 0:
                self.downloadWait -= self.conf.parserate

            # Run WAFS worker
            self.wafs.run(self.lat, self.lon, self.conf.parserate)

            # Run Metar worker
            self.metar.run(self.lat, self.lon, self.conf.parserate)

            if self.die.isSet():
                # Kill downloaders if avaliable
                if self.wafs and self.wafs.downloading and self.wafs.download:
                    self.wafs.download.die()
                if self.downloading and self.download:
                    self.download.die()
                return

            # flush stdout
            sys.stdout.flush()

    def getCycleDate(self):
        '''
        Returns last cycle date avaliable
        '''
        now = datetime.utcnow()
        #cycle is published with 4 hours 25min delay
        cnow = now - timedelta(hours=4, minutes=0)
        #get last cycle
        for cycle in self.cycles:
            if cnow.hour >= cycle:
                lcycle = cycle
        # Forecast
        adjs = 0
        if cnow.day != now.day:
            adjs = +24
        forecast = (adjs + now.hour - lcycle) / 3 * 3

        return ('%d%02d%02d%02d' % (cnow.year, cnow.month, cnow.day, lcycle),
                lcycle, forecast)

    def downloadCycle(self, datecycle, cycle, forecast):
        '''
        Downloads the requested grib file
        '''

        filename = 'gfs.t%02dz.pgrb2full.0p50.f0%02d' % (cycle, forecast)

        path = os.sep.join([self.conf.cachepath, 'gfs'])
        cachefile = os.sep.join(['gfs', '%s_%s.grib2' % (datecycle, filename)])

        if cachefile == self.lastgrib:
            # No need to download
            return

        if not os.path.exists(path):
            os.makedirs(path)

        if self.downloading == True:
            if not self.download.q.empty():

                #Finished downloading
                lastgrib = self.download.q.get()

                # Dowload success
                if lastgrib:
                    if not self.conf.keepOldFiles and self.conf.lastgrib:
                        util.remove(
                            os.sep.join(
                                [self.conf.cachepath, self.conf.lastgrib]))
                    self.lastgrib = lastgrib
                    self.conf.lastgrib = self.lastgrib
                    self.newGrib = True
                    #print "new grib file: " + self.lastgrib
                else:
                    # Wait a minute
                    self.downloadWait = 60

                self.downloading = False

        elif self.conf.download and self.downloadWait < 1:
            # Download new grib

            ## Build download url
            params = self.params
            dir = 'dir=%%2Fgfs.%s' % (datecycle)
            params.append(dir)
            params.append('file=' + filename)

            # add variables
            for level in self.levels:
                params.append('lev_' + level + '=1')
            for var in self.variables:
                params.append('var_' + var + '=1')

            url = self.baseurl + '&'.join(params)

            #print 'XPGFS: downloading %s' % (url)
            self.downloading = True
            self.download = AsyncDownload(self.conf, url, cachefile)

        return False

    def parseGribData(self, filepath, lat, lon):
        '''
        Executes wgrib2 and parses its output
        '''
        args = [
            '-s', '-lon',
            '%f' % (lon),
            '%f' % (lat),
            os.sep.join([self.conf.cachepath, filepath])
        ]
        if self.conf.spinfo:
            p = subprocess.Popen([self.conf.wgrib2bin] + args,
                                 stdout=subprocess.PIPE,
                                 startupinfo=self.conf.spinfo,
                                 shell=True)
        else:
            p = subprocess.Popen([self.conf.wgrib2bin] + args,
                                 stdout=subprocess.PIPE)
        it = iter(p.stdout)
        data = {}
        clouds = {}
        pressure = False
        for line in it:
            r = line[:-1].split(':')
            # Level, variable, value
            level, variable, value = [
                r[4].split(' '), r[3], r[7].split(',')[2].split('=')[1]
            ]

            if len(level) > 1:
                if level[1] == 'cloud':
                    #cloud layer
                    clouds.setdefault(level[0], {})
                    if len(level) > 3 and variable == 'PRES':
                        clouds[level[0]][level[2]] = value
                    else:
                        #level coverage/temperature
                        clouds[level[0]][variable] = value
                elif level[1] == 'mb':
                    # wind levels
                    data.setdefault(level[0], {})
                    data[level[0]][variable] = value
                elif level[0] == 'mean':
                    if variable == 'PRMSL':
                        pressure = c.pa2inhg(float(value))

        windlevels = []
        cloudlevels = []

        # Let data ready to push on datarefs.

        # Convert wind levels
        for level in data:
            wind = data[level]
            if 'UGRD' in wind and 'VGRD' in wind:
                hdg, vel = c.c2p(float(wind['UGRD']), float(wind['VGRD']))
                #print wind['UGRD'], wind['VGRD'], float(wind['UGRD']), float(wind['VGRD']), hdg, vel
                alt = c.mb2alt(float(level))

                # Optional varialbes
                temp, rh, dew = False, False, False
                # Temperature
                if 'TMP' in wind:
                    temp = float(wind['TMP'])
                # Relative Humidity
                if 'RH' in wind:
                    rh = float(wind['RH'])
                else:
                    temp = False

                if temp and rh:
                    dew = c.dewpoint(temp, rh)

                windlevels.append([
                    alt, hdg,
                    c.ms2knots(vel), {
                        'temp': temp,
                        'rh': rh,
                        'dew': dew,
                        'gust': 0
                    }
                ])
                #print 'alt: %i rh: %i vis: %i' % (alt, float(wind['RH']), vis)

        # Convert cloud level
        for level in clouds:
            level = clouds[level]
            if 'top' in level and 'bottom' in level and 'TCDC' in level:
                top, bottom, cover = float(level['top']), float(
                    level['bottom']), float(level['TCDC'])
                #print "XPGFS: top: %.0fmbar %.0fm, bottom: %.0fmbar %.0fm %d%%" % (top * 0.01, c.mb2alt(top * 0.01), bottom * 0.01, c.mb2alt(bottom * 0.01), cover)

                #if bottom > 1 and alt > 1:
                cloudlevels.append([
                    c.mb2alt(bottom * 0.01) * 0.3048,
                    c.mb2alt(top * 0.01) * 0.3048, cover
                ])
                #XP10
                #cloudlevels.append((c.mb2alt(bottom * 0.01) * 0.3048, c.mb2alt(top * 0.01) * 0.3048, cover/10))

        windlevels.sort()
        cloudlevels.sort()

        data = {
            'winds': windlevels,
            'clouds': cloudlevels,
            'pressure': pressure
        }

        return data
Example #6
0
class GFS(threading.Thread):
    """
    NOAA GFS download and parse functions.
    """

    cycles = [0, 6, 12, 18]
    baseurl = "http://nomads.ncep.noaa.gov/cgi-bin/filter_gfs_0p50.pl?"

    params = ["leftlon=0", "rightlon=360", "toplat=90", "bottomlat=-90"]
    levels = [
        "700_mb",  # FL100
        "600_mb",  # FL140
        "500_mb",  # FL180
        "400_mb",  # FL235
        "300_mb",  # FL300
        "200_mb",  # FL380
        "150_mb",  # FL443
        "100_mb",  # FL518
        "high_cloud_bottom_level",
        "high_cloud_layer",
        "high_cloud_top_level",
        "low_cloud_bottom_level",
        "low_cloud_layer",
        "low_cloud_top_level",
        "mean_sea_level",
        "middle_cloud_bottom_level",
        "middle_cloud_layer",
        "middle_cloud_top_level",
        #'surface',
    ]
    variables = ["PRES", "TCDC", "UGRD", "VGRD", "TMP", "PRMSL", "RH"]
    nwinds, nclouds = 0, 0

    downloading = False
    downloadWait = 0
    # wait n seconds to start download
    lastgrib = False

    lat, lon, lastlat, lastlon = False, False, False, False

    cycle = ""
    lastcycle = ""

    newGrib = False
    parsed_latlon = (0, 0)

    die = threading.Event()
    dummy = threading.Event()
    lock = threading.Lock()

    def __init__(self, conf):
        self.conf = conf
        self.lastgrib = self.conf.lastgrib
        self.wafs = WAFS(conf)
        self.metar = Metar(conf)
        threading.Thread.__init__(self)

    def run(self):
        # Worker thread
        while not self.die.wait(self.conf.parserate):

            if not self.conf.enabled:
                continue

            datecycle, cycle, forecast = self.getCycleDate()

            if self.downloadWait < 1:
                self.downloadCycle(datecycle, cycle, forecast)
            elif self.downloadWait > 0:
                self.downloadWait -= self.conf.parserate

            # Run WAFS worker
            self.wafs.run(self.lat, self.lon, self.conf.parserate)

            # Run Metar worker
            self.metar.run(self.lat, self.lon, self.conf.parserate)

            if self.die.isSet():
                # Kill downloaders if avaliable
                if self.wafs and self.wafs.downloading and self.wafs.download:
                    self.wafs.download.die()
                if self.downloading and self.download:
                    self.download.die()
                return

            # flush stdout
            sys.stdout.flush()

    def getCycleDate(self):
        """
        Returns last cycle date avaliable
        """
        now = datetime.utcnow()
        # cycle is published with 4 hours 25min delay
        cnow = now - timedelta(hours=4, minutes=0)
        # get last cycle
        for cycle in self.cycles:
            if cnow.hour >= cycle:
                lcycle = cycle
        # Forecast
        adjs = 0
        if cnow.day != now.day:
            adjs = +24
        forecast = (adjs + now.hour - lcycle) / 3 * 3

        return ("%d%02d%02d%02d" % (cnow.year, cnow.month, cnow.day, lcycle), lcycle, forecast)

    def downloadCycle(self, datecycle, cycle, forecast):
        """
        Downloads the requested grib file
        """

        filename = "gfs.t%02dz.pgrb2full.0p50.f0%02d" % (cycle, forecast)

        path = os.sep.join([self.conf.cachepath, "gfs"])
        cachefile = os.sep.join(["gfs", "%s_%s.grib2" % (datecycle, filename)])

        if cachefile == self.lastgrib:
            # No need to download
            return

        if not os.path.exists(path):
            os.makedirs(path)

        if self.downloading == True:
            if not self.download.q.empty():

                # Finished downloading
                lastgrib = self.download.q.get()

                # Dowload success
                if lastgrib:
                    if not self.conf.keepOldFiles and self.conf.lastgrib:
                        util.remove(os.sep.join([self.conf.cachepath, self.conf.lastgrib]))
                    self.lastgrib = lastgrib
                    self.conf.lastgrib = self.lastgrib
                    self.newGrib = True
                    # print "new grib file: " + self.lastgrib
                else:
                    # Wait a minute
                    self.downloadWait = 60

                self.downloading = False

        elif self.conf.download and self.downloadWait < 1:
            # Download new grib

            ## Build download url
            params = self.params
            dir = "dir=%%2Fgfs.%s" % (datecycle)
            params.append(dir)
            params.append("file=" + filename)

            # add variables
            for level in self.levels:
                params.append("lev_" + level + "=1")
            for var in self.variables:
                params.append("var_" + var + "=1")

            url = self.baseurl + "&".join(params)

            # print 'XPGFS: downloading %s' % (url)
            self.downloading = True
            self.download = AsyncDownload(self.conf, url, cachefile)

        return False

    def parseGribData(self, filepath, lat, lon):
        """
        Executes wgrib2 and parses its output
        """
        args = ["-s", "-lon", "%f" % (lon), "%f" % (lat), os.sep.join([self.conf.cachepath, filepath])]
        if self.conf.spinfo:
            p = subprocess.Popen(
                [self.conf.wgrib2bin] + args, stdout=subprocess.PIPE, startupinfo=self.conf.spinfo, shell=True
            )
        else:
            p = subprocess.Popen([self.conf.wgrib2bin] + args, stdout=subprocess.PIPE)
        it = iter(p.stdout)
        data = {}
        clouds = {}
        pressure = False
        for line in it:
            r = line[:-1].split(":")
            # Level, variable, value
            level, variable, value = [r[4].split(" "), r[3], r[7].split(",")[2].split("=")[1]]

            if len(level) > 1:
                if level[1] == "cloud":
                    # cloud layer
                    clouds.setdefault(level[0], {})
                    if len(level) > 3 and variable == "PRES":
                        clouds[level[0]][level[2]] = value
                    else:
                        # level coverage/temperature
                        clouds[level[0]][variable] = value
                elif level[1] == "mb":
                    # wind levels
                    data.setdefault(level[0], {})
                    data[level[0]][variable] = value
                elif level[0] == "mean":
                    if variable == "PRMSL":
                        pressure = c.pa2inhg(float(value))

        windlevels = []
        cloudlevels = []

        # Let data ready to push on datarefs.

        # Convert wind levels
        for level in data:
            wind = data[level]
            if "UGRD" in wind and "VGRD" in wind:
                hdg, vel = c.c2p(float(wind["UGRD"]), float(wind["VGRD"]))
                # print wind['UGRD'], wind['VGRD'], float(wind['UGRD']), float(wind['VGRD']), hdg, vel
                alt = c.mb2alt(float(level))

                # Optional varialbes
                temp, rh, dew = False, False, False
                # Temperature
                if "TMP" in wind:
                    temp = float(wind["TMP"])
                # Relative Humidity
                if "RH" in wind:
                    rh = float(wind["RH"])
                else:
                    temp = False

                if temp and rh:
                    dew = c.dewpoint(temp, rh)

                windlevels.append([alt, hdg, c.ms2knots(vel), {"temp": temp, "rh": rh, "dew": dew, "gust": 0}])
                # print 'alt: %i rh: %i vis: %i' % (alt, float(wind['RH']), vis)

        # Convert cloud level
        for level in clouds:
            level = clouds[level]
            if "top" in level and "bottom" in level and "TCDC" in level:
                top, bottom, cover = float(level["top"]), float(level["bottom"]), float(level["TCDC"])
                # print "XPGFS: top: %.0fmbar %.0fm, bottom: %.0fmbar %.0fm %d%%" % (top * 0.01, c.mb2alt(top * 0.01), bottom * 0.01, c.mb2alt(bottom * 0.01), cover)

                # if bottom > 1 and alt > 1:
                cloudlevels.append([c.mb2alt(bottom * 0.01) * 0.3048, c.mb2alt(top * 0.01) * 0.3048, cover])
                # XP10
                # cloudlevels.append((c.mb2alt(bottom * 0.01) * 0.3048, c.mb2alt(top * 0.01) * 0.3048, cover/10))

        windlevels.sort()
        cloudlevels.sort()

        data = {"winds": windlevels, "clouds": cloudlevels, "pressure": pressure}

        return data