def test01_radar_coverage(self): pattern = os.path.join(os.path.dirname(__file__), 'data/private', '*') for path in glob.glob(pattern): name = os.path.join("private", os.path.basename(path)) img_data = open(datafile(name)).read() r = RadarPadavin(picdata=img_data.encode('base64'), last_modified=datetime.datetime.now()) r.save() r.process() gr = GeocodedRadar() gr.load_from_model(r) for lat in xrange(45210, 47050+1, 10): for lon in xrange(12920, 16710+1, 10): lat_f = lat * 1e-3 lon_f = lon * 1e-3 pos, rain_mmph = gr.get_rain_at_coords(lat_f, lon_f) self.assertTrue(rain_mmph is not None, msg="get_rain_at_coords(%f, %f) is None " "(%s, pos = %r)" % ( lat_f, lon_f, name, pos)) del gr r.delete()
def test01_radar(self): img_data = open(datafile('test_sirad_si1_si2.gif')).read() r = RadarPadavin(picdata=img_data.encode('base64'), last_modified=datetime.datetime.now()) r.save() r.process() gr = GeocodedRadar() gr.load_from_model(r) # koper pos, rain_mmph = gr.get_rain_at_coords(45.547356,13.729792) self.assertEqual(pos, (294, 357)) self.assertEqual(rain_mmph, 0) # ljubljana pos, rain_mmph = gr.get_rain_at_coords(46.054173,14.507332) self.assertEqual(pos, (428, 270)) self.assertEqual(rain_mmph, 0) # maribor pos, rain_mmph = gr.get_rain_at_coords(46.554611,15.646534) self.assertEqual(pos, (624, 184)) self.assertEqual(rain_mmph, 0) pos, rain_level = gr.get_rain_at_coords(45.545763, 14.106696) self.assertEqual(pos, (359, 357)) # 'Pixel coords are off?') self.assertEqual(rain_level, .5) del gr r.delete()
def test01_radar(self): img_data = open(datafile('test_sirad_si1_si2.gif')).read() r = RadarPadavin(picdata=img_data.encode('base64'), last_modified=datetime.datetime.now()) r.save() r.process() gr = GeocodedRadar() gr.load_from_model(r) # koper pos, rain_mmph = gr.get_rain_at_coords(45.547356, 13.729792) self.assertEqual(pos, (294, 357)) self.assertEqual(rain_mmph, 0) # ljubljana pos, rain_mmph = gr.get_rain_at_coords(46.054173, 14.507332) self.assertEqual(pos, (428, 270)) self.assertEqual(rain_mmph, 0) # maribor pos, rain_mmph = gr.get_rain_at_coords(46.554611, 15.646534) self.assertEqual(pos, (624, 184)) self.assertEqual(rain_mmph, 0) pos, rain_level = gr.get_rain_at_coords(45.545763, 14.106696) self.assertEqual(pos, (359, 357)) # 'Pixel coords are off?') self.assertEqual(rain_level, .5) del gr r.delete()
def test01_radar_coverage(self): pattern = os.path.join(os.path.dirname(__file__), 'data/private', '*') for path in glob.glob(pattern): name = os.path.join("private", os.path.basename(path)) img_data = open(datafile(name)).read() r = RadarPadavin(picdata=img_data.encode('base64'), last_modified=datetime.datetime.now()) r.save() r.process() gr = GeocodedRadar() gr.load_from_model(r) for lat in xrange(45210, 47050 + 1, 10): for lon in xrange(12920, 16710 + 1, 10): lat_f = lat * 1e-3 lon_f = lon * 1e-3 pos, rain_mmph = gr.get_rain_at_coords(lat_f, lon_f) self.assertTrue(rain_mmph is not None, msg="get_rain_at_coords(%f, %f) is None " "(%s, pos = %r)" % (lat_f, lon_f, name, pos)) del gr r.delete()
def test01_radar_unknown_format(self): img_data = open(datafile('test_invalid.gif')).read() r = RadarPadavin(picdata=img_data.encode('base64'), last_modified=datetime.datetime.now()) r.save() r.process() gr = GeocodedRadar() gr.load_from_model(r) pos, rain_mmph = gr.get_rain_at_coords(45.545763, 14.106696) self.assertTrue(rain_mmph is None) del gr r.delete()
def handle(self, *args, **options): from arsoapi.models import RadarPadavin, fetch_radar from StringIO import StringIO import Image imgdata, last_modified = fetch_radar() image = Image.open(StringIO(imgdata)) try: r = RadarPadavin.objects.get(last_modified=last_modified) except RadarPadavin.DoesNotExist: r = RadarPadavin(picdata=imgdata.encode('base64'), last_modified=last_modified) r.save() assert image.size == (819, 658) r.process()
def handle(self, *args, **options): from arsoapi.models import RadarPadavin, fetch_radar from StringIO import StringIO from PIL import Image imgdata, last_modified = fetch_radar() image = Image.open(StringIO(imgdata)) try: r = RadarPadavin.objects.get(last_modified=last_modified) except RadarPadavin.DoesNotExist: r = RadarPadavin(picdata=imgdata.encode('base64'), last_modified=last_modified) r.save() assert image.size == (821, 660) r.process()