示例#1
0
 def test_taf_line(self):
     """
     Tests converting TAF line data into into a single spoken string
     """
     units = structs.Units(**static.NA_UNITS)
     line = {
         'altimeter': _core.make_number('2992'),
         'clouds': [_core.make_cloud('BKN015CB')],
         'end_time': _core.make_timestamp('1206'),
         'icing': ['611005'],
         'other': ['+RA'],
         'start_time': _core.make_timestamp('1202'),
         'turbulance': ['540553'],
         'type': 'FROM',
         'visibility': _core.make_number('3'),
         'wind_direction': _core.make_number('360'),
         'wind_gust': _core.make_number('20'),
         'wind_shear': 'WS020/07040KT',
         'wind_speed': _core.make_number('12'),
     }
     line.update({
         k: None
         for k in ('flight_rules', 'probability', 'raw', 'sanitized')
     })
     line = structs.TafLineData(**line)
     spoken = (
         'From 2 to 6 zulu, Winds three six zero at 12kt gusting to 20kt. '
         'Wind shear 2000inHg from zero seven zero at 40kt. Visibility three miles. '
         'Altimeter two nine point nine two. Heavy Rain. '
         'Broken layer at 1500ft (Cumulonimbus). '
         'Occasional moderate turbulence in clouds from 5500ft to 8500ft. '
         'Light icing from 10000ft to 15000ft')
     ret = speech.taf_line(line, units)
     self.assertIsInstance(ret, str)
     self.assertEqual(ret, spoken)
示例#2
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 def test_taf_line(self):
     """
     Tests converting TAF line data into into a single spoken string
     """
     units = structs.Units(**static.NA_UNITS)
     line = {
         "altimeter": _core.make_number("2992"),
         "clouds": [_core.make_cloud("BKN015CB")],
         "end_time": _core.make_timestamp("1206"),
         "icing": ["611005"],
         "other": ["+RA"],
         "start_time": _core.make_timestamp("1202"),
         "turbulence": ["540553"],
         "type": "FROM",
         "visibility": _core.make_number("3"),
         "wind_direction": _core.make_number("360"),
         "wind_gust": _core.make_number("20"),
         "wind_shear": "WS020/07040KT",
         "wind_speed": _core.make_number("12"),
     }
     line.update(
         {k: None for k in ("flight_rules", "probability", "raw", "sanitized")}
     )
     line = structs.TafLineData(**line)
     spoken = (
         "From 2 to 6 zulu, Winds three six zero at 12kt gusting to 20kt. "
         "Wind shear 2000inHg from zero seven zero at 40kt. Visibility three miles. "
         "Altimeter two nine point nine two. Heavy Rain. "
         "Broken layer at 1500ft (Cumulonimbus). "
         "Occasional moderate turbulence in clouds from 5500ft to 8500ft. "
         "Light icing from 10000ft to 15000ft"
     )
     ret = speech.taf_line(line, units)
     self.assertIsInstance(ret, str)
     self.assertEqual(ret, spoken)
示例#3
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 def test_taf(self):
     """
     Tests end-to-end TAF translation
     """
     units = structs.Units(**static.NA_UNITS)
     line_data = {
         "altimeter": _core.make_number("29.92", "2992"),
         "clouds": [_core.make_cloud("BKN015CB")],
         "icing": ["611005"],
         "other": ["+RA"],
         "turbulence": ["540553"],
         "visibility": _core.make_number("3"),
         "wind_direction": _core.make_number("360"),
         "wind_gust": _core.make_number("20"),
         "wind_shear": "WS020/07040KT",
         "wind_speed": _core.make_number("12"),
     }
     line_data.update({
         k: ""
         for k in (
             "raw",
             "end_time",
             "start_time",
             "probability",
             "type",
             "flight_rules",
             "sanitized",
         )
     })
     data = {"max_temp": "TX20/1518Z", "min_temp": "TN00/00", "remarks": ""}
     data.update({
         k: ""
         for k in ("raw", "station", "time", "start_time", "end_time")
     })
     data = structs.TafData(forecast=[structs.TafLineData(**line_data)],
                            **data)
     line_trans = structs.TafLineTrans(
         altimeter="29.92 inHg (1013 hPa)",
         clouds="Broken layer at 1500ft (Cumulonimbus) - Reported AGL",
         icing="Light icing from 10000ft to 15000ft",
         other="Heavy Rain",
         turbulence=
         "Occasional moderate turbulence in clouds from 5500ft to 8500ft",
         visibility="3sm (4.8km)",
         wind_shear="Wind shear 2000ft from 070 at 40kt",
         wind="N-360 at 12kt gusting to 20kt",
     )
     trans = structs.TafTrans(
         forecast=[line_trans],
         max_temp="Maximum temperature of 20°C (68°F) at 15-18:00Z",
         min_temp="Minimum temperature of 0°C (32°F) at 00:00Z",
         remarks={},
     )
     translated = translate.taf(data, units)
     self.assertIsInstance(translated, structs.TafTrans)
     for line in translated.forecast:
         self.assertIsInstance(line, structs.TafLineTrans)
     self.assertEqual(translated, trans)
示例#4
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def _clouds(item: str) -> [Cloud]:
    """
    Convert cloud element to a list of Clouds
    """
    clouds = item.split()
    # BASES 004 TOPS 016
    if "BASES" in clouds and "TOPS" in clouds:
        base = clouds[clouds.index("BASES") + 1]
        top = clouds[clouds.index("TOPS") + 1]
        return [structs.Cloud(item, base=base, top=top)]
    return [_core.make_cloud(cloud) for cloud in clouds]
示例#5
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 def test_metar(self):
     """
     Tests end-to-end METAR translation
     """
     units = structs.Units(**static.NA_UNITS)
     data = {
         "altimeter":
         _core.make_number("29.92", "2992"),
         "clouds": [_core.make_cloud("BKN015CB")],
         "dewpoint":
         _core.make_number("M01"),
         "other": ["+RA"],
         "temperature":
         _core.make_number("03"),
         "visibility":
         _core.make_number("3"),
         "wind_direction":
         _core.make_number("360"),
         "wind_gust":
         _core.make_number("20"),
         "wind_speed":
         _core.make_number("12"),
         "wind_variable_direction": [
             _core.make_number("340"),
             _core.make_number("020"),
         ],
     }
     data.update({
         k: ""
         for k in (
             "raw",
             "remarks",
             "station",
             "time",
             "flight_rules",
             "remarks_info",
             "runway_visibility",
             "sanitized",
         )
     })
     data = structs.MetarData(**data)
     trans = structs.MetarTrans(
         altimeter="29.92 inHg (1013 hPa)",
         clouds="Broken layer at 1500ft (Cumulonimbus) - Reported AGL",
         dewpoint="-1°C (30°F)",
         other="Heavy Rain",
         remarks={},
         temperature="3°C (37°F)",
         visibility="3sm (4.8km)",
         wind="N-360 (variable 340 to 020) at 12kt gusting to 20kt",
     )
     translated = translate.metar(data, units)
     self.assertIsInstance(translated, structs.MetarTrans)
     self.assertEqual(translated, trans)
示例#6
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 def test_metar(self):
     """
     Tests converting METAR data into into a single spoken string
     """
     units = structs.Units(**static.NA_UNITS)
     data = {
         "altimeter":
         _core.make_number("2992"),
         "clouds": [_core.make_cloud("BKN015CB")],
         "dewpoint":
         _core.make_number("M01"),
         "other": ["+RA"],
         "temperature":
         _core.make_number("03"),
         "visibility":
         _core.make_number("3"),
         "wind_direction":
         _core.make_number("360"),
         "wind_gust":
         _core.make_number("20"),
         "wind_speed":
         _core.make_number("12"),
         "wind_variable_direction": [
             _core.make_number("340"),
             _core.make_number("020", speak="020"),
         ],
     }
     data.update({
         k: None
         for k in (
             "raw",
             "remarks",
             "station",
             "time",
             "flight_rules",
             "remarks_info",
             "runway_visibility",
             "sanitized",
         )
     })
     data = structs.MetarData(**data)
     spoken = (
         "Winds three six zero (variable three four zero to zero two zero) "
         "at 12kt gusting to 20kt. Visibility three miles. "
         "Temperature three degrees Celsius. Dew point minus one degree Celsius. "
         "Altimeter two nine point nine two. Heavy Rain. "
         "Broken layer at 1500ft (Cumulonimbus)")
     ret = speech.metar(data, units)
     self.assertIsInstance(ret, str)
     self.assertEqual(ret, spoken)
示例#7
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 def test_taf(self):
     """
     Tests end-to-end TAF translation
     """
     units = structs.Units(**static.NA_UNITS)
     line_data = {
         'altimeter': _core.make_number('29.92', '2992'),
         'clouds': [_core.make_cloud('BKN015CB')],
         'icing': ['611005'],
         'other': ['+RA'],
         'turbulance': ['540553'],
         'visibility': _core.make_number('3'),
         'wind_direction': _core.make_number('360'),
         'wind_gust': _core.make_number('20'),
         'wind_shear': 'WS020/07040KT',
         'wind_speed': _core.make_number('12')
     }
     line_data.update({
         k: ''
         for k in ('raw', 'end_time', 'start_time', 'probability', 'type',
                   'flight_rules', 'sanitized')
     })
     data = {'max_temp': 'TX20/1518Z', 'min_temp': 'TN00/00', 'remarks': ''}
     data.update({
         k: ''
         for k in ('raw', 'station', 'time', 'start_time', 'end_time')
     })
     data = structs.TafData(forecast=[structs.TafLineData(**line_data)],
                            **data)
     line_trans = structs.TafLineTrans(
         altimeter='29.92 inHg (1013 hPa)',
         clouds='Broken layer at 1500ft (Cumulonimbus) - Reported AGL',
         icing='Light icing from 10000ft to 15000ft',
         other='Heavy Rain',
         turbulance=
         'Occasional moderate turbulence in clouds from 5500ft to 8500ft',
         visibility='3sm (4.8km)',
         wind_shear='Wind shear 2000ft from 070 at 40kt',
         wind='N-360 at 12kt gusting to 20kt')
     trans = structs.TafTrans(
         forecast=[line_trans],
         max_temp='Maximum temperature of 20°C (68°F) at 15-18:00Z',
         min_temp='Minimum temperature of 0°C (32°F) at 00:00Z',
         remarks={})
     translated = translate.taf(data, units)
     self.assertIsInstance(translated, structs.TafTrans)
     for line in translated.forecast:
         self.assertIsInstance(line, structs.TafLineTrans)
     self.assertEqual(translated, trans)
示例#8
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 def test_clouds(self):
     """
     Tests translating each cloud into a single string
     """
     self.assertEqual(translate.clouds(None), '')
     self.assertEqual(translate.clouds([]), 'Sky clear')
     for clouds, translation in (
         (['BKN', 'FEW020'], 'Few clouds at 2000ft'),
         (['OVC030', 'SCT100'],
          'Overcast layer at 3000ft, Scattered clouds at 10000ft'),
         (['BKN015CB'], 'Broken layer at 1500ft (Cumulonimbus)'),
     ):
         clouds = [_core.make_cloud(cloud) for cloud in clouds]
         self.assertEqual(translate.clouds(clouds),
                          translation + ' - Reported AGL')
示例#9
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 def test_clouds(self):
     """
     Tests translating each cloud into a single string
     """
     self.assertEqual(translate.clouds(None), "")
     self.assertEqual(translate.clouds([]), "Sky clear")
     for clouds, translation in (
         (["BKN", "FEW020"], "Few clouds at 2000ft"),
         (
             ["OVC030", "SCT100"],
             "Overcast layer at 3000ft, Scattered clouds at 10000ft",
         ),
         (["BKN015CB"], "Broken layer at 1500ft (Cumulonimbus)"),
     ):
         clouds = [_core.make_cloud(cloud) for cloud in clouds]
         self.assertEqual(translate.clouds(clouds),
                          translation + " - Reported AGL")
示例#10
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 def test_metar(self):
     """
     Tests end-to-end METAR translation
     """
     units = structs.Units(**static.NA_UNITS)
     data = {
         'altimeter':
         _core.make_number('29.92', '2992'),
         'clouds': [_core.make_cloud('BKN015CB')],
         'dewpoint':
         _core.make_number('M01'),
         'other': ['+RA'],
         'temperature':
         _core.make_number('03'),
         'visibility':
         _core.make_number('3'),
         'wind_direction':
         _core.make_number('360'),
         'wind_gust':
         _core.make_number('20'),
         'wind_speed':
         _core.make_number('12'),
         'wind_variable_direction':
         [_core.make_number('340'),
          _core.make_number('020')]
     }
     data.update({
         k: ''
         for k in ('raw', 'remarks', 'station', 'time', 'flight_rules',
                   'remarks_info', 'runway_visibility', 'sanitized')
     })
     data = structs.MetarData(**data)
     trans = structs.MetarTrans(
         altimeter='29.92 inHg (1013 hPa)',
         clouds='Broken layer at 1500ft (Cumulonimbus) - Reported AGL',
         dewpoint='-1°C (30°F)',
         other='Heavy Rain',
         remarks={},
         temperature='3°C (37°F)',
         visibility='3sm (4.8km)',
         wind='N-360 (variable 340 to 020) at 12kt gusting to 20kt')
     translated = translate.metar(data, units)
     self.assertIsInstance(translated, structs.MetarTrans)
     self.assertEqual(translated, trans)
示例#11
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 def test_shared(self):
     """
     Tests availibility of shared values between the METAR and TAF translations
     """
     units = structs.Units(**static.NA_UNITS)
     data = structs.SharedData(altimeter=_core.make_number('2992'),
                               clouds=[_core.make_cloud('OVC060')],
                               flight_rules='',
                               other=['RA'],
                               sanitized='',
                               visibility=_core.make_number('10'),
                               wind_direction=_core.make_number('0'),
                               wind_gust=_core.make_number('0'),
                               wind_speed=_core.make_number('0'))
     trans = translate.shared(data, units)
     self.assertIsInstance(trans, dict)
     for key in ('altimeter', 'clouds', 'other', 'visibility'):
         self.assertIn(key, trans)
         self.assertTrue(bool(trans[key]))
示例#12
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 def test_metar(self):
     """
     Tests converting METAR data into into a single spoken string
     """
     units = structs.Units(**static.NA_UNITS)
     data = {
         'altimeter':
         _core.make_number('2992'),
         'clouds': [_core.make_cloud('BKN015CB')],
         'dewpoint':
         _core.make_number('M01'),
         'other': ['+RA'],
         'temperature':
         _core.make_number('03'),
         'visibility':
         _core.make_number('3'),
         'wind_direction':
         _core.make_number('360'),
         'wind_gust':
         _core.make_number('20'),
         'wind_speed':
         _core.make_number('12'),
         'wind_variable_direction':
         [_core.make_number('340'),
          _core.make_number('020', speak='020')]
     }
     data.update({
         k: None
         for k in ('raw', 'remarks', 'station', 'time', 'flight_rules',
                   'remarks_info', 'runway_visibility', 'sanitized')
     })
     data = structs.MetarData(**data)
     spoken = (
         'Winds three six zero (variable three four zero to zero two zero) '
         'at 12kt gusting to 20kt. Visibility three miles. '
         'Temperature three degrees Celsius. Dew point minus one degree Celsius. '
         'Altimeter two nine point nine two. Heavy Rain. '
         'Broken layer at 1500ft (Cumulonimbus)')
     ret = speech.metar(data, units)
     self.assertIsInstance(ret, str)
     self.assertEqual(ret, spoken)
示例#13
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 def test_shared(self):
     """
     Tests availability of shared values between the METAR and TAF translations
     """
     units = structs.Units(**static.NA_UNITS)
     data = structs.SharedData(
         altimeter=_core.make_number("2992"),
         clouds=[_core.make_cloud("OVC060")],
         flight_rules="",
         other=["RA"],
         sanitized="",
         visibility=_core.make_number("10"),
         wind_direction=_core.make_number("0"),
         wind_gust=_core.make_number("0"),
         wind_speed=_core.make_number("0"),
     )
     trans = translate.shared(data, units)
     self.assertIsInstance(trans, dict)
     for key in ("altimeter", "clouds", "other", "visibility"):
         self.assertIn(key, trans)
         self.assertTrue(bool(trans[key]))
示例#14
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 def test_make_cloud(self):
     """
     Tests helper function which returns a Cloud dataclass
     """
     for cloud, out in (
         ("SCT060", ["SCT", 60, None, None]),
         ("FEWO03", ["FEW", 3, None, None]),
         ("BKNC015", ["BKN", 15, None, "C"]),
         ("OVC120TS", ["OVC", 120, None, "TS"]),
         ("VV002", ["VV", 2, None, None]),
         ("SCT", ["SCT", None, None, None]),
         ("FEW027///", ["FEW", 27, None, None]),
         ("FEW//////", ["FEW", None, None, None]),
         ("FEW///TS", ["FEW", None, None, "TS"]),
         ("OVC100-TOP110", ["OVC", 100, 110, None]),
         ("OVC065-TOPUNKN", ["OVC", 65, None, None]),
         ("SCT-BKN050-TOP100", ["SCT-BKN", 50, 100, None]),
     ):
         ret_cloud = _core.make_cloud(cloud)
         self.assertIsInstance(ret_cloud, structs.Cloud)
         self.assertEqual(ret_cloud.repr, cloud)
         for i, key in enumerate(("type", "base", "top", "modifier")):
             self.assertEqual(getattr(ret_cloud, key), out[i])
示例#15
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 def test_make_cloud(self):
     """
     Tests helper function which returns a Cloud dataclass
     """
     for cloud, out in (
         ('SCT060', ['SCT', 60, None, None]),
         ('FEWO03', ['FEW', 3, None, None]),
         ('BKNC015', ['BKN', 15, None, 'C']),
         ('OVC120TS', ['OVC', 120, None, 'TS']),
         ('VV002', ['VV', 2, None, None]),
         ('SCT', ['SCT', None, None, None]),
         ('FEW027///', ['FEW', 27, None, None]),
         ('FEW//////', ['FEW', None, None, None]),
         ('FEW///TS', ['FEW', None, None, 'TS']),
         ('OVC100-TOP110', ['OVC', 100, 110, None]),
         ('OVC065-TOPUNKN', ['OVC', 65, None, None]),
         ('SCT-BKN050-TOP100', ['SCT-BKN', 50, 100, None]),
     ):
         ret_cloud = _core.make_cloud(cloud)
         self.assertIsInstance(ret_cloud, structs.Cloud)
         self.assertEqual(ret_cloud.repr, cloud)
         for i, key in enumerate(('type', 'base', 'top', 'modifier')):
             self.assertEqual(getattr(ret_cloud, key), out[i])