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)
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)
def parse_in(txt: str) -> (MetarData, Units):
"""
Parser for the International METAR variant
"""
units = Units(**IN_UNITS)
clean = core.sanitize_report_string(txt)
wxresp = {'raw': txt, 'sanitized': clean}
wxdata, wxresp['remarks'] = core.get_remarks(clean)
wxdata, wxresp['runway_visibility'], _ = core.sanitize_report_list(wxdata)
wxdata, wxresp['station'], wxresp['time'] = core.get_station_and_time(
wxdata)
if 'CAVOK' not in wxdata:
wxdata, wxresp['clouds'] = core.get_clouds(wxdata)
wxdata, wxresp['wind_direction'], wxresp['wind_speed'], \
wxresp['wind_gust'], wxresp['wind_variable_direction'] = core.get_wind(wxdata, units)
wxdata, wxresp['altimeter'] = core.get_altimeter(wxdata, units, 'IN')
if 'CAVOK' in wxdata:
wxresp['visibility'] = core.make_number('CAVOK')
wxresp['clouds'] = []
wxdata.remove('CAVOK')
else:
wxdata, wxresp['visibility'] = core.get_visibility(wxdata, units)
wxresp['other'], wxresp['temperature'], wxresp[
'dewpoint'] = core.get_temp_and_dew(wxdata)
condition = core.get_flight_rules(wxresp['visibility'],
core.get_ceiling(wxresp['clouds']))
wxresp['flight_rules'] = FLIGHT_RULES[condition]
wxresp['remarks_info'] = remarks.parse(wxresp['remarks'])
wxresp['time'] = core.make_timestamp(wxresp['time'])
return MetarData(**wxresp), units
def parse_lines(lines: [str], units: Units, use_na: bool = True) -> [dict]:
"""
Returns a list of parsed line dictionaries
"""
parsed_lines = []
prob = ''
while lines:
raw_line = lines[0].strip()
line = core.sanitize_line(raw_line)
# Remove prob from the beginning of a line
if line.startswith('PROB'):
# Add standalone prob to next line
if len(line) == 6:
prob = line
line = ''
# Add to current line
elif len(line) > 6:
prob = line[:6]
line = line[6:].strip()
if line:
parsed_line = (parse_na_line if use_na else parse_in_line)(line, units)
for key in ('start_time', 'end_time'):
parsed_line[key] = core.make_timestamp(parsed_line[key])
parsed_line['probability'] = core.make_number(prob[4:])
parsed_line['raw'] = raw_line
parsed_line['sanitized'] = prob + ' ' + line if prob else line
prob = ''
parsed_lines.append(parsed_line)
lines.pop(0)
return parsed_lines
def test_find_missing_taf_times(self):
"""
Tests that missing forecast times can be interpretted by
"""
good_lines = [{
'type': 'FROM',
'start_time': '3021',
'end_time': '3023'
}, {
'type': 'FROM',
'start_time': '3023',
'end_time': '0105'
}, {
'type': 'FROM',
'start_time': '0105',
'end_time': '0108'
}, {
'type': 'FROM',
'start_time': '0108',
'end_time': '0114'
}]
for line in good_lines:
for key in ('start_time', 'end_time'):
line[key] = core.make_timestamp(line[key])
bad_lines = deepcopy(good_lines)
bad_lines[0]['start_time'] = None
bad_lines[1]['start_time'] = None
bad_lines[2]['end_time'] = None
bad_lines[3]['end_time'] = None
start, end = good_lines[0]['start_time'], good_lines[-1]['end_time']
self.assertEqual(core.find_missing_taf_times(bad_lines, start, end),
good_lines)
def parse_na(report: str) -> (MetarData, Units):
"""
Parser for the North American METAR variant
"""
units = Units(**NA_UNITS)
clean = core.sanitize_report_string(report)
wxresp = {'raw': report, 'sanitized': clean}
wxdata, wxresp['remarks'] = core.get_remarks(clean)
wxdata = core.dedupe(wxdata)
wxdata, wxresp['runway_visibility'], _ = core.sanitize_report_list(wxdata)
wxdata, wxresp['station'], wxresp['time'] = core.get_station_and_time(
wxdata)
wxdata, wxresp['clouds'] = core.get_clouds(wxdata)
wxdata, wxresp['wind_direction'], wxresp['wind_speed'], \
wxresp['wind_gust'], wxresp['wind_variable_direction'] = core.get_wind(wxdata, units)
wxdata, wxresp['altimeter'] = core.get_altimeter(wxdata, units, 'NA')
wxdata, wxresp['visibility'] = core.get_visibility(wxdata, units)
wxresp['other'], wxresp['temperature'], wxresp[
'dewpoint'] = core.get_temp_and_dew(wxdata)
condition = core.get_flight_rules(wxresp['visibility'],
core.get_ceiling(wxresp['clouds']))
wxresp['flight_rules'] = FLIGHT_RULES[condition]
wxresp['remarks_info'] = remarks.parse(wxresp['remarks'])
wxresp['time'] = core.make_timestamp(wxresp['time'])
return MetarData(**wxresp), units
def parse_lines(lines: [str], units: Units, use_na: bool = True) -> [dict]:
"""
Returns a list of parsed line dictionaries
"""
parsed_lines = []
prob = ''
while lines:
raw_line = lines[0].strip()
line = core.sanitize_line(raw_line)
# Remove prob from the beginning of a line
if line.startswith('PROB'):
# Add standalone prob to next line
if len(line) == 6:
prob = line
line = ''
# Add to current line
elif len(line) > 6:
prob = line[:6]
line = line[6:].strip()
if line:
parsed_line = (parse_na_line if use_na else parse_in_line)(line, units)
for key in ('start_time', 'end_time'):
parsed_line[key] = core.make_timestamp(parsed_line[key])
parsed_line['probability'] = core.make_number(prob[4:])
parsed_line['raw'] = raw_line
parsed_line['sanitized'] = prob + ' ' + line if prob else line
prob = ''
parsed_lines.append(parsed_line)
lines.pop(0)
return parsed_lines
def test_make_timestamp(self):
"""
Tests that a report timestamp is converted into a Timestamp dataclass
"""
today = datetime.utcnow()
rts = today.strftime(r'%d%HZ')
date = core.make_timestamp(rts)
self.assertIsInstance(date, structs.Timestamp)
self.assertEqual(date.repr, rts)
self.assertEqual(date.dt.day, today.day)
self.assertEqual(date.dt.hour, today.hour)
def test_make_timestamp(self):
"""
Tests that a report timestamp is converted into a Timestamp dataclass
"""
today = datetime.utcnow()
rts = today.strftime(r'%d%HZ')
date = core.make_timestamp(rts)
self.assertIsInstance(date, structs.Timestamp)
self.assertEqual(date.repr, rts)
self.assertEqual(date.dt.day, today.day)
self.assertEqual(date.dt.hour, today.hour)
def parse(station: str, report: str) -> TafData:
"""
Returns TafData and Units dataclasses with parsed data and their associated units
"""
if not report:
return None, None
core.valid_station(station)
while len(report) > 3 and report[:4] in ('TAF ', 'AMD ', 'COR '):
report = report[4:]
_, station, time = core.get_station_and_time(report[:20].split())
retwx = {
'end_time': None,
'raw': report,
'remarks': None,
'start_time': None,
'station': station,
'time': core.make_timestamp(time)
}
report = report.replace(station, '')
report = report.replace(time, '').strip()
if core.uses_na_format(station):
use_na = True
units = Units(**NA_UNITS)
else:
use_na = False
units = Units(**IN_UNITS)
# Find and remove remarks
report, retwx['remarks'] = core.get_taf_remarks(report)
# Split and parse each line
lines = core.split_taf(report)
parsed_lines = parse_lines(lines, units, use_na)
# Perform additional info extract and corrections
if parsed_lines:
parsed_lines[-1]['other'], retwx['max_temp'], retwx['min_temp'] \
= core.get_temp_min_and_max(parsed_lines[-1]['other'])
if not (retwx['max_temp'] or retwx['min_temp']):
parsed_lines[0]['other'], retwx['max_temp'], retwx['min_temp'] \
= core.get_temp_min_and_max(parsed_lines[0]['other'])
# Set start and end times based on the first line
start, end = parsed_lines[0]['start_time'], parsed_lines[0]['end_time']
parsed_lines[0]['end_time'] = None
retwx['start_time'], retwx['end_time'] = start, end
parsed_lines = core.find_missing_taf_times(parsed_lines, start, end)
parsed_lines = core.get_taf_flight_rules(parsed_lines)
# Extract Oceania-specific data
if retwx['station'][0] == 'A':
parsed_lines[-1]['other'], retwx['alts'], retwx['temps'] \
= core.get_oceania_temp_and_alt(parsed_lines[-1]['other'])
# Convert to dataclass
retwx['forecast'] = [TafLineData(**line) for line in parsed_lines]
return TafData(**retwx), units
def parse(station: str, report: str) -> TafData:
"""
Returns TafData and Units dataclasses with parsed data and their associated units
"""
if not report:
return None, None
core.valid_station(station)
while len(report) > 3 and report[:4] in ('TAF ', 'AMD ', 'COR '):
report = report[4:]
_, station, time = core.get_station_and_time(report[:20].split())
retwx = {
'end_time': None,
'raw': report,
'remarks': None,
'start_time': None,
'station': station,
'time': core.make_timestamp(time)
}
report = report.replace(station, '')
report = report.replace(time, '').strip()
if core.uses_na_format(station):
use_na = True
units = Units(**NA_UNITS)
else:
use_na = False
units = Units(**IN_UNITS)
# Find and remove remarks
report, retwx['remarks'] = core.get_taf_remarks(report)
# Split and parse each line
lines = core.split_taf(report)
parsed_lines = parse_lines(lines, units, use_na)
# Perform additional info extract and corrections
if parsed_lines:
parsed_lines[-1]['other'], retwx['max_temp'], retwx['min_temp'] \
= core.get_temp_min_and_max(parsed_lines[-1]['other'])
if not (retwx['max_temp'] or retwx['min_temp']):
parsed_lines[0]['other'], retwx['max_temp'], retwx['min_temp'] \
= core.get_temp_min_and_max(parsed_lines[0]['other'])
# Set start and end times based on the first line
start, end = parsed_lines[0]['start_time'], parsed_lines[0]['end_time']
parsed_lines[0]['end_time'] = None
retwx['start_time'], retwx['end_time'] = start, end
parsed_lines = core.find_missing_taf_times(parsed_lines, start, end)
parsed_lines = core.get_taf_flight_rules(parsed_lines)
# Extract Oceania-specific data
if retwx['station'][0] == 'A':
parsed_lines[-1]['other'], retwx['alts'], retwx['temps'] \
= core.get_oceania_temp_and_alt(parsed_lines[-1]['other'])
# Convert to dataclass
retwx['forecast'] = [TafLineData(**line) for line in parsed_lines]
return TafData(**retwx), units
def test_type_and_times(self):
"""
Tests line start from type, time, and probability values
"""
for type, *times, prob, spoken in (
(None, None, None, None, ''),
('FROM', '2808', '2815', None, 'From 8 to 15 zulu,'),
('FROM', '2822', '2903', None, 'From 22 to 3 zulu,'),
('BECMG', '3010', None, None, 'At 10 zulu becoming'),
('PROB', '1303', '1305', '30', r"From 3 to 5 zulu, there's a 30% chance for"),
('INTER', '1303', '1305', '45', r"From 3 to 5 zulu, there's a 45% chance for intermittent"),
('INTER', '2423', '2500', None, 'From 23 to midnight zulu, intermittent'),
('TEMPO', '0102', '0103', None, 'From 2 to 3 zulu, temporary'),
):
times = [core.make_timestamp(time) for time in times]
if prob is not None:
prob = core.make_number(prob)
ret = speech.type_and_times(type, *times, prob)
self.assertIsInstance(ret, str)
self.assertEqual(ret, spoken)
def test_find_missing_taf_times(self):
"""
Tests that missing forecast times can be interpretted by
"""
good_lines = [
{'type': 'FROM', 'start_time': '3021', 'end_time': '3023'},
{'type': 'FROM', 'start_time': '3023', 'end_time': '0105'},
{'type': 'FROM', 'start_time': '0105', 'end_time': '0108'},
{'type': 'FROM', 'start_time': '0108', 'end_time': '0114'}
]
for line in good_lines:
for key in ('start_time', 'end_time'):
line[key] = core.make_timestamp(line[key])
bad_lines = deepcopy(good_lines)
bad_lines[0]['start_time'] = None
bad_lines[1]['start_time'] = None
bad_lines[2]['end_time'] = None
bad_lines[3]['end_time'] = None
start, end = good_lines[0]['start_time'], good_lines[-1]['end_time']
self.assertEqual(core.find_missing_taf_times(bad_lines, start, end), good_lines)
def test_type_and_times(self):
"""
Tests line start from type, time, and probability values
"""
for type, *times, prob, spoken in (
(None, None, None, None, ''),
('FROM', '2808', '2815', None, 'From 8 to 15 zulu,'),
('FROM', '2822', '2903', None, 'From 22 to 3 zulu,'),
('BECMG', '3010', None, None, 'At 10 zulu becoming'),
('PROB', '1303', '1305', '30', r"From 3 to 5 zulu, there's a 30% chance for"),
('INTER', '1303', '1305', '45', r"From 3 to 5 zulu, there's a 45% chance for intermittent"),
('INTER', '2423', '2500', None, 'From 23 to midnight zulu, intermittent'),
('TEMPO', '0102', '0103', None, 'From 2 to 3 zulu, temporary'),
):
times = [core.make_timestamp(time) for time in times]
if prob is not None:
prob = core.make_number(prob)
ret = speech.type_and_times(type, *times, prob)
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)
def _time(item: str) -> Timestamp:
"""
Convert a time element to a Timestamp
"""
return core.make_timestamp(item, time_only=True)
def _time(item: str) -> Timestamp:
"""
Convert a time element to a Timestamp
"""
return core.make_timestamp(item, time_only=True)
