def speech(self) -> str:
"""
Report summary designed to be read by a text-to-speech program
"""
if not self.data:
self.update()
return speech.taf(self.data, self.units)
def speech(self) -> str:
"""
Report summary designed to be read by a text-to-speech program
"""
if not self.data:
self.update()
return speech.taf(self.data, self.units)
def test_taf(self):
"""
Tests converting a TafData report into a single spoken string
"""
units = structs.Units(**static.NA_UNITS)
empty_line = {
k: None
for k in structs.TafLineData.__dataclass_fields__.keys()
}
forecast = [
structs.TafLineData(**{
**empty_line,
**line
}) for line in (
{
"type": "FROM",
"start_time": _core.make_timestamp("0410Z"),
"end_time": _core.make_timestamp("0414Z"),
"visibility": _core.make_number("3"),
"wind_direction": _core.make_number("360"),
"wind_gust": _core.make_number("20"),
"wind_speed": _core.make_number("12"),
},
{
"type": "PROB",
"probability": _core.make_number("45"),
"start_time": _core.make_timestamp("0412Z"),
"end_time": _core.make_timestamp("0414Z"),
"visibility": _core.make_number("M1/4"),
},
)
]
taf = structs.TafData(
raw=None,
remarks=None,
station=None,
time=None,
forecast=forecast,
start_time=_core.make_timestamp("0410Z"),
end_time=_core.make_timestamp("0414Z"),
)
ret = speech.taf(taf, units)
spoken = (
f"Starting on {taf.start_time.dt.strftime('%B')} 4th - From 10 to 14 zulu, "
"Winds three six zero at 12kt gusting to 20kt. Visibility three miles. "
r"From 12 to 14 zulu, there's a 45% chance for Visibility "
"less than one quarter of a mile")
self.assertIsInstance(ret, str)
self.assertEqual(ret, spoken)
def test_taf(self):
"""
Tests converting a TafData report into a single spoken string
"""
units = structs.Units(**static.NA_UNITS)
empty_line = {
k: None
for k in structs.TafLineData.__dataclass_fields__.keys()
}
forecast = [
structs.TafLineData(**{
**empty_line,
**line
}) for line in (
{
'type': 'FROM',
'start_time': core.make_timestamp('0410Z'),
'end_time': core.make_timestamp('0414Z'),
'visibility': core.make_number('3'),
'wind_direction': core.make_number('360'),
'wind_gust': core.make_number('20'),
'wind_speed': core.make_number('12'),
},
{
'type': 'PROB',
'probability': core.make_number('45'),
'start_time': core.make_timestamp('0412Z'),
'end_time': core.make_timestamp('0414Z'),
'visibility': core.make_number('M1/4'),
},
)
]
taf = structs.TafData(raw=None,
remarks=None,
station=None,
time=None,
forecast=forecast,
start_time=core.make_timestamp('0410Z'),
end_time=core.make_timestamp('0414Z'))
ret = speech.taf(taf, units)
spoken = (
f"Starting on {taf.start_time.dt.strftime('%B')} 4th - From 10 to 14 zulu, "
"Winds three six zero at 12kt gusting to 20kt. Visibility three miles. "
r"From 12 to 14 zulu, there's a 45% chance for Visibility "
"less than one quarter of a mile")
self.assertIsInstance(ret, str)
self.assertEqual(ret, spoken)
def test_taf(self):
"""
Tests converting a TafData report into a single spoken string
"""
units = structs.Units(**static.NA_UNITS)
empty_line = {k: None for k in structs.TafLineData.__dataclass_fields__.keys()}
forecast = [structs.TafLineData(**{**empty_line, **line}) for line in (
{
'type': 'FROM',
'start_time': core.make_timestamp('0410Z'),
'end_time': core.make_timestamp('0414Z'),
'visibility': core.make_number('3'),
'wind_direction': core.make_number('360'),
'wind_gust': core.make_number('20'),
'wind_speed': core.make_number('12'),
},
{
'type': 'PROB',
'probability': core.make_number('45'),
'start_time': core.make_timestamp('0412Z'),
'end_time': core.make_timestamp('0414Z'),
'visibility': core.make_number('M1/4'),
},
)]
taf = structs.TafData(
raw=None, remarks=None, station=None, time=None,
forecast=forecast,
start_time=core.make_timestamp('0410Z'),
end_time=core.make_timestamp('0414Z')
)
ret = speech.taf(taf, units)
spoken = (f"Starting on {taf.start_time.dt.strftime('%B')} 4th - From 10 to 14 zulu, "
"Winds three six zero at 12kt gusting to 20kt. Visibility three miles. "
r"From 12 to 14 zulu, there's a 45% chance for Visibility "
"less than one quarter of a mile")
self.assertIsInstance(ret, str)
self.assertEqual(ret, spoken)