avwx.forecast.nbm
NBH
The NBH report is a 25-hour forecast based on the National Blend of Models and is only valid for ICAO stations in the United States and Puerto Rico, and US Virgin Islands. Reports are in 1-hour increments and are published near the top of every hour.
NBS
The NBS report is a short-range forecast (6-72 hours) based on the National Blend of Models and is only valid for ICAO stations in the United States and Puerto Rico, and US Virgin Islands. Reports are in 3-hour increments and published near the top of every hour.
NBE
The NBE report is an extended-range forecast (24-192 hours) based on the National Blend of Models and is only valid for ICAO stations in the United States and Puerto Rico, and US Virgin Islands. Reports are in 12-hour increments and published near the top of every hour.
NBX
The NBX report is a continuation of the NBE forecast (204-264 hours) based on the National Blend of Models and is only valid for ICAO stations in the United States and Puerto Rico, and US Virgin Islands. Reports are in 12-hour increments and published near the top of every hour.
1""" 2# NBH 3 4The NBH report is a 25-hour forecast based on the 5[National Blend of Models](https://vlab.noaa.gov/web/mdl/nbm) and is only valid 6for ICAO stations in the United States and Puerto Rico, and US Virgin Islands. 7Reports are in 1-hour increments and are published near the top of every hour. 8 9# NBS 10 11The NBS report is a 12short-range forecast (6-72 hours) based on the 13[National Blend of Models](https://vlab.noaa.gov/web/mdl/nbm) and is only valid 14for ICAO stations in the United States and Puerto Rico, and US Virgin Islands. 15Reports are in 3-hour increments and published near the top of every hour. 16 17# NBE 18 19The NBE report is an extended-range forecast (24-192 hours) based on the 20[National Blend of Models](https://vlab.noaa.gov/web/mdl/nbm) and is only valid 21for ICAO stations in the United States and Puerto Rico, and US Virgin Islands. 22Reports are in 12-hour increments and published near the top of every hour. 23 24# NBX 25 26The NBX report is a continuation of the NBE forecast (204-264 hours) based on the 27[National Blend of Models](https://vlab.noaa.gov/web/mdl/nbm) and is only valid 28for ICAO stations in the United States and Puerto Rico, and US Virgin Islands. 29Reports are in 12-hour increments and published near the top of every hour. 30""" 31 32# Reference: https://www.weather.gov/mdl/nbm_textcard_v32 33 34# pylint: disable=too-many-arguments 35 36# stdlib 37from contextlib import suppress 38from typing import Callable, Dict, List, Optional, Tuple, Union 39 40try: 41 from typing import TypeAlias 42except ImportError: 43 from typing_extensions import TypeAlias 44 45# module 46from avwx import structs 47from avwx.service.files import NOAA_NBM 48from avwx.static.gfs import UNITS 49from .base import ( 50 Forecast, 51 _decimal_10, 52 _decimal_100, 53 _direction, 54 _find_time_periods, 55 _init_parse, 56 _numbers, 57 _number_100, 58 _parse_lines, 59 _split_line, 60 _trim_lines, 61) 62 63DataT: TypeAlias = Union[structs.NbhData, structs.NbsData, structs.NbeData] 64PeriodT: TypeAlias = Union[structs.NbhPeriod, structs.NbsPeriod, structs.NbePeriod] 65 66_UNITS = { 67 **UNITS, 68 "accumulation": "in", 69 "duration": "hour", 70 "solar_radiation": "W/m2", 71 "wave_height": "ft", 72} 73 74 75_CEILING = { 76 # 888 is code but processed as 88800 due to postfix 77 "88800": (None, "unlimited") 78} 79_WIND = {"NG": (0, "zero")} 80 81 82def _ceiling(line: str, size: int = 3) -> List[Optional[structs.Number]]: 83 """Parse line into Number objects handling ceiling special units""" 84 return _numbers(line, size, postfix="00", special=_CEILING) 85 86 87def _wind(line: str, size: int = 3) -> List[Optional[structs.Number]]: 88 """Parse line into Number objects handling wind special units""" 89 return _numbers(line, size, special=_WIND) 90 91 92_HANDLERS: Dict[str, Tuple[str, Callable]] = { 93 "X/N": ("temperature_minmax", _numbers), 94 "TMP": ("temperature", _numbers), 95 "DPT": ("dewpoint", _numbers), 96 "SKY": ("sky_cover", _numbers), 97 "WDR": ("wind_direction", _direction), 98 "WSP": ("wind_speed", _wind), 99 "GST": ("wind_gust", _wind), 100 "DUR": ("precip_duration", _numbers), 101 "PZR": ("freezing_precip", _numbers), 102 "PSN": ("snow", _numbers), 103 "PPL": ("sleet", _numbers), 104 "PRA": ("rain", _numbers), 105 "SLV": ("snow_level", _number_100), 106 "SOL": ("solar_radiation", _numbers), 107 "SWH": ("wave_height", _numbers), 108} 109 110_HOUR_HANDLERS: Dict[str, Tuple[str, Callable]] = { 111 "P": ("precip_chance", _numbers), 112 "Q": ("precip_amount", _decimal_100), 113 "T": ("thunderstorm", _numbers), 114 "S": ("snow_amount", _decimal_10), 115 "I": ("icing_amount", _decimal_100), 116} 117 118_NBHS_HANDLERS: Dict[str, Tuple[str, Callable]] = { 119 "CIG": ("ceiling", _ceiling), 120 "VIS": ("visibility", _decimal_10), 121 "LCB": ("cloud_base", _number_100), 122 "MHT": ("mixing_height", _number_100), 123 "TWD": ("transport_wind_direction", _direction), 124 "TWS": ("transport_wind_speed", _numbers), 125 "HID": ("haines", _numbers), 126} 127 128 129def _parse_factory( 130 data_class: DataT, 131 period_class: PeriodT, 132 handlers: Dict[str, Tuple[str, Callable]], 133 hours: int = 2, 134 size: int = 3, 135 prefix: int = 4, 136) -> Callable: 137 """Creates handler function for static and computed keys""" 138 139 handlers = {**_HANDLERS, **handlers} 140 141 def handle(key: str) -> Tuple: 142 """Returns response key(s) and value handler for a line key""" 143 with suppress(KeyError): 144 return handlers[key] 145 if not key[1:].isdigit(): 146 raise KeyError 147 root, handler = _HOUR_HANDLERS[key[0]] 148 return f"{root}_{key[1:].lstrip('0')}", handler 149 150 def parse(report: str) -> Optional[structs.ReportData]: 151 """Parser for NBM reports""" 152 if not report: 153 return None 154 data, lines = _init_parse(report) 155 lines = _trim_lines(lines, 2) 156 period_strings = _split_line(lines[hours], size, prefix) 157 timestamp = data.time.dt if data.time else None 158 periods = _find_time_periods(period_strings, timestamp) 159 data_lines = lines[hours + 1 :] 160 # Normalize line prefix length 161 if prefix != 4: 162 indexes = (4, prefix) 163 start, end = min(indexes), max(indexes) 164 data_lines = [l[:start] + l[end:] for l in data_lines] 165 _parse_lines(periods, data_lines, handle, size) 166 return data_class( # type: ignore 167 raw=data.raw, 168 sanitized=data.sanitized, 169 station=data.station, 170 time=data.time, 171 remarks=data.remarks, 172 forecast=[period_class(**p) for p in periods], # type: ignore 173 ) 174 175 return parse 176 177 178parse_nbh: Callable[[str], structs.NbhData] = _parse_factory( 179 structs.NbhData, structs.NbhPeriod, _NBHS_HANDLERS, hours=1 # type: ignore 180) 181parse_nbs: Callable[[str], structs.NbsData] = _parse_factory( 182 structs.NbsData, structs.NbsPeriod, _NBHS_HANDLERS # type: ignore 183) 184parse_nbe: Callable[[str], structs.NbeData] = _parse_factory( 185 structs.NbeData, structs.NbePeriod, {}, size=4, prefix=5 # type: ignore 186) 187parse_nbx: Callable[[str], structs.NbeData] = _parse_factory( 188 structs.NbxData, structs.NbxPeriod, {}, size=4, prefix=4 # type: ignore 189) 190 191 192class _Nbm(Forecast): 193 units = structs.NbmUnits(**_UNITS) 194 _service_class = NOAA_NBM # type: ignore 195 _parser: staticmethod 196 197 async def _post_update(self) -> None: 198 self.data = self._parser(self.raw) 199 200 def _post_parse(self) -> None: 201 self.data = self._parser(self.raw) 202 203 204class Nbh(_Nbm): 205 ''' 206 Class to handle NBM NBH report data 207 208 Below is typical usage for fetching and pulling NBH data for KJFK. 209 210 ```python 211 >>> from avwx import Nbh 212 >>> kjfk = Nbh("KJFK") 213 >>> kjfk.station.name 214 'John F Kennedy International Airport' 215 >>> kjfk.update() 216 True 217 >>> kjfk.last_updated 218 datetime.datetime(2020, 7, 26, 20, 37, 42, 352220, tzinfo=datetime.timezone.utc) 219 >>> print(kjfk.raw) 220 """ 221 KJFK NBM V3.2 NBH GUIDANCE 7/26/2020 1900 UTC 222 UTC 20 21 22 23 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 223 TMP 90 89 88 87 85 84 82 81 81 80 79 78 77 76 76 78 81 84 87 89 90 91 92 92 93 224 DPT 69 68 66 66 65 65 65 66 66 66 66 67 67 66 67 67 67 67 67 68 67 67 67 67 67 225 SKY 9 14 41 58 61 71 66 55 39 37 39 43 40 38 29 21 19 26 24 27 22 14 22 26 26 226 WDR 22 22 23 24 25 25 25 25 25 25 25 26 26 26 26 26 26 26 25 24 24 23 23 22 23 227 WSP 10 9 9 8 7 6 5 5 5 6 5 5 5 5 4 4 5 5 7 8 8 9 10 10 10 228 GST 17 16 16 15 14 12 11 12 12 12 12 11 11 9 9 9 9 10 11 13 14 15 16 17 17 229 P01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 230 P06 0 0 0 231 Q01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 232 DUR 0 233 T01 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 234 PZR 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 235 PSN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 236 PPL 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 237 PRA 100100100100100100100100100100100100100100100100100100100100100100100100100 238 S01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 239 SLV 99101102103105105105106105104106104104104104103102100 99 98 98 99100101102 240 I01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 241 CIG 888888888360360350340888888888888888888888888888888888888888888888888888888 242 VIS 110120120140140130120120120120110110110110110120130140150150150150150150150 243 LCB 80 60999999999999999999999999999999999999999999999999999999999999999999999 244 MHT 26 26 20 19 8 7 6 4 4 5 5 5 6 4 5 6 6 11 20 27 37 39 43 39 31 245 TWD 24 26 26 27 26 26 24 23 24 26 26 26 27 27 28 27 27 27 27 26 26 26 25 25 24 246 TWS 15 14 14 13 11 11 11 10 11 11 10 11 10 8 8 7 8 9 12 13 14 15 17 17 16 247 HID 6 5 6 248 SOL 710500430250110 0 30 0 0 0 0 0 0 0 30160330500650760830870870850720 249 """ 250 >>> len(kjfk.data.forecast) 251 25 252 >>> kjfk.data.forecast[0].snow_level 253 Number(repr='99', value=9900, spoken='nine nine hundred') 254 >>> print(kjfk.data.forecast[0].solar_radiation.value, kjfk.units.solar_radiation) 255 710 W/m2 256 ``` 257 258 The `parse` and `from_report` methods can parse a report string if you want 259 to override the normal fetching process. 260 ''' 261 262 report_type = "nbh" 263 _parser = staticmethod(parse_nbh) 264 265 266class Nbs(_Nbm): 267 ''' 268 Class to handle NBM NBS report data 269 270 Below is typical usage for fetching and pulling Nbs data for KJFK. 271 272 ```python 273 >>> from avwx import Nbs 274 >>> kjfk = Nbs("KJFK") 275 >>> kjfk.station.name 276 'John F Kennedy International Airport' 277 >>> kjfk.update() 278 True 279 >>> kjfk.last_updated 280 datetime.datetime(2020, 7, 28, 1, 3, 46, 447635, tzinfo=datetime.timezone.utc) 281 >>> print(kjfk.raw) 282 """ 283 KJFK NBM V3.2 NBS GUIDANCE 7/27/2020 2300 UTC 284 DT /JULY 28 /JULY 29 /JULY 30 285 UTC 03 06 09 12 15 18 21 00 03 06 09 12 15 18 21 00 03 06 09 12 15 18 21 286 FHR 04 07 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70 287 N/X 79 93 76 91 76 288 TMP 85 82 80 83 89 91 89 84 81 79 77 80 85 89 87 83 81 79 77 80 86 88 86 289 DPT 70 70 71 72 72 72 73 72 72 71 69 69 68 67 68 69 68 67 68 69 68 69 70 290 SKY 4 10 2 4 12 23 38 61 53 62 51 26 19 9 21 24 25 34 32 45 57 70 79 291 WDR 23 24 23 24 24 22 23 27 28 28 34 35 21 20 19 22 23 25 26 26 23 20 20 292 WSP 8 8 5 6 8 9 7 5 3 2 1 2 3 6 9 7 4 4 3 3 4 7 8 293 GST 16 15 11 11 13 15 15 11 9 5 4 4 6 12 15 13 11 11 8 6 7 13 15 294 P06 0 1 15 48 17 11 8 8 1 0 5 295 P12 1 48 17 8 1 296 Q06 0 0 0 11 0 0 0 0 0 0 0 297 Q12 0 11 0 0 0 298 DUR 0 2 0 0 0 299 T03 2 3 1 1 2 10 27 30 21 13 8 5 1 0 2 3 4 3 2 3 1 3 7 300 T12 4 48 33 6 8 301 PZR 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 302 PSN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 303 PPL 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 304 PRA 100100100100100100100100100100100100100100100100100100100100100100100 305 S06 0 0 0 0 0 0 0 0 0 0 0 306 SLV 108112113133135139141139137134124113102 99107115114118118119118118118 307 I06 0 0 0 0 0 0 0 0 0 0 0 308 CIG 888888888888888888888170888150888888888888888888888888888888888888888 309 VIS 120120110120130130130110110110110130110110110120120120110110110110110 310 LCB 60 70999 90 90999 50 60 60 60 60 60 22999999200230 70 80 60 60150 60 311 MHT 7 6 5 13 30 46 19 15 7 7 10 16 40 35 13 4 4 4 9 18 31 27 13 312 TWD 23 24 23 27 25 24 27 27 28 21 34 6 26 23 20 19 26 23 27 29 24 20 18 313 TWS 17 16 9 11 13 16 12 9 5 5 4 3 4 8 11 10 8 10 10 6 6 9 13 314 HID 4 4 4 4 3 4 4 5 5 3 4 315 SOL 0 0 0320700760360100 0 0 0320720830620190 0 0 0230480570540 316 """ 317 >>> len(kjfk.data.forecast) 318 23 319 >>> kjfk.data.forecast[0].ceiling 320 Number(repr='888', value=None, spoken='unlimited') 321 >>> print(kjfk.data.forecast[7].precip_amount_12.value, kjfk.units.accumulation) 322 0.11 in 323 ``` 324 325 The `parse` and `from_report` methods can parse a report string if you want 326 to override the normal fetching process. 327 ''' 328 329 report_type = "nbs" 330 _parser = staticmethod(parse_nbs) 331 332 333class Nbe(_Nbm): 334 ''' 335 Class to handle NBM NBE report data 336 337 Below is typical usage for fetching and pulling NBE data for KJFK. 338 339 ```python 340 >>> from avwx import Nbe 341 >>> kjfk = Nbe("KJFK") 342 >>> kjfk.station.name 343 'John F Kennedy International Airport' 344 >>> kjfk.update() 345 True 346 >>> kjfk.last_updated 347 datetime.datetime(2020, 7, 28, 1, 23, 4, 909939, tzinfo=datetime.timezone.utc) 348 >>> print(kjfk.raw) 349 """ 350 KJFK NBM V3.2 NBE GUIDANCE 7/28/2020 0000 UTC 351 WED 29| THU 30| FRI 31| SAT 01| SUN 02| MON 03| TUE 04|WED CLIMO 352 UTC 00 12| 00 12| 00 12| 00 12| 00 12| 00 12| 00 12| 00 353 FHR 24 36| 48 60| 72 84| 96 108|120 132|144 156|168 180|192 354 X/N 93 76| 91 76| 90 74| 86 72| 87 73| 85 74| 86 72| 84 68 83 355 TMP 84 80| 83 80| 81 78| 78 76| 78 78| 78 78| 78 76| 76 356 DPT 72 69| 68 69| 71 68| 67 66| 68 69| 70 71| 70 68| 69 357 SKY 61 21| 23 47| 80 73| 47 31| 30 54| 68 65| 66 59| 32 358 WDR 25 35| 20 26| 20 2| 16 1| 16 7| 16 24| 22 34| 18 359 WSP 5 2| 6 3| 5 4| 3 5| 7 4| 6 4| 5 4| 4 360 GST 11 4| 13 6| 13 10| 9 10| 13 7| 13 9| 16 9| 12 361 P12 48 23| 8 1| 23 28| 28 16| 18 17| 30 41| 46 31| 32 19 18 362 Q12 10 0| 0 0| 0 0| 0 0| 0 0| 0 64| 77 81| 83 363 Q24 | 0 | 0 | 0 | 0 | 0 |141 |164 364 DUR 2 1| 0 0| 0 0| 0 0| 0 0| 2 12| 12 12| 12 365 T12 46 32| 6 8| 21 22| 17 5| 6 5| 25 23| 19 18| 18 366 PZR 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 367 PSN 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 368 PPL 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 369 PRA 100 100|100 100|100 100|100 100|100 100|100 100|100 100|100 370 S12 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 371 SLV 138 114|111 119|119 121|113 101|108 117|134 132|124 123|121 372 I12 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 373 S24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 374 SOL 100 320|190 230|270 250|360 290|370 30|190 260|250 230|450 375 """ 376 >>> len(kjfk.data.forecast) 377 25 378 >>> kjfk.data.forecast[0].wind_direction 379 Number(repr='25', value=250, spoken='two five zero') 380 >>> print(kjfk.data.forecast[1].precip_duration.value, kjfk.units.duration) 381 1 hour 382 ``` 383 384 The `parse` and `from_report` methods can parse a report string if you want 385 to override the normal fetching process. 386 ''' 387 388 report_type = "nbe" 389 _parser = staticmethod(parse_nbe) 390 391 392class Nbx(_Nbm): 393 ''' 394 Class to handle NBM NBX report data 395 396 Below is typical usage for fetching and pulling NBX data for KJFK. 397 398 ```python 399 >>> from avwx import Nbx 400 >>> kjfk = Nbx("KJFK") 401 >>> kjfk.station.name 402 'John F Kennedy International Airport' 403 >>> kjfk.update() 404 True 405 >>> kjfk.last_updated 406 datetime.datetime(2023, 10, 17, 4, 0, 0, 909939, tzinfo=datetime.timezone.utc) 407 >>> print(kjfk.raw) 408 """ 409 086092 NBM V4.1 NBX GUIDANCE 10/17/2023 0300 UTC 410 WED 25 |THU 26 |FRI 27 |SAT 28 411 UTC 12 |00 12 |00 12 |00 412 FHR 201|213 225|237 249|261 413 TXN 76| 81 75| 81 75| 81 414 XND 1| 1 1| 2 1| 0 415 TMP 77| 77 77| 78 76| 78 416 TSD 1| 2 1| 1 2| 1 417 DPT 67| 67 69| 68 70| 69 418 DSD 1| 2 1| 1 2| 1 419 SKY 34| 46 27| 50 26| 37 420 SSD 12| 22 13| 22 12| 7 421 WDR 7| 7 7| 6 5| 5 422 WSP 15| 16 15| 17 15| 17 423 WSD 3| 4 3| 3 4| 3 424 GST 22| 24 22| 25 22| 25 425 GSD 2| 2 2| 1 1| 1 426 P12 8| 8 9| 7 7| 7 427 Q12 0| 0 0| 3 0| 0 428 Q24 0| 0| 3| 429 DUR 0| 0 0| 0 0| 0 430 PZR 0| 0 0| 0 0| 0 431 PSN 0| 0 0| 0 0| 0 432 PPL 0| 0 0| 0 0| 0 433 PRA 7| 16 14| 10 6| 11 434 S12 0| 0 0| 0 0| 0 435 I12 0| 0 0| 0 0| 0 436 SOL 1| 35 1| 15 1| 38 437 """ 438 >>> len(kjfk.data.forecast) 439 25 440 >>> kjfk.data.forecast[0].wind_speed 441 Number(repr='15', value=150, spoken='one five zero') 442 >>> print(kjfk.data.forecast[1].solar_radiation.value, kjfk.units.solar_radiation) 443 35 W/m2 444 ``` 445 446 The `parse` and `from_report` methods can parse a report string if you want 447 to override the normal fetching process. 448 ''' 449 450 report_type = "nbx" 451 _parser = staticmethod(parse_nbx)
PeriodT: TypeAlias =
typing.Union[avwx.structs.NbhPeriod, avwx.structs.NbsPeriod, avwx.structs.NbePeriod]
151 def parse(report: str) -> Optional[structs.ReportData]: 152 """Parser for NBM reports""" 153 if not report: 154 return None 155 data, lines = _init_parse(report) 156 lines = _trim_lines(lines, 2) 157 period_strings = _split_line(lines[hours], size, prefix) 158 timestamp = data.time.dt if data.time else None 159 periods = _find_time_periods(period_strings, timestamp) 160 data_lines = lines[hours + 1 :] 161 # Normalize line prefix length 162 if prefix != 4: 163 indexes = (4, prefix) 164 start, end = min(indexes), max(indexes) 165 data_lines = [l[:start] + l[end:] for l in data_lines] 166 _parse_lines(periods, data_lines, handle, size) 167 return data_class( # type: ignore 168 raw=data.raw, 169 sanitized=data.sanitized, 170 station=data.station, 171 time=data.time, 172 remarks=data.remarks, 173 forecast=[period_class(**p) for p in periods], # type: ignore 174 )
Parser for NBM reports
151 def parse(report: str) -> Optional[structs.ReportData]: 152 """Parser for NBM reports""" 153 if not report: 154 return None 155 data, lines = _init_parse(report) 156 lines = _trim_lines(lines, 2) 157 period_strings = _split_line(lines[hours], size, prefix) 158 timestamp = data.time.dt if data.time else None 159 periods = _find_time_periods(period_strings, timestamp) 160 data_lines = lines[hours + 1 :] 161 # Normalize line prefix length 162 if prefix != 4: 163 indexes = (4, prefix) 164 start, end = min(indexes), max(indexes) 165 data_lines = [l[:start] + l[end:] for l in data_lines] 166 _parse_lines(periods, data_lines, handle, size) 167 return data_class( # type: ignore 168 raw=data.raw, 169 sanitized=data.sanitized, 170 station=data.station, 171 time=data.time, 172 remarks=data.remarks, 173 forecast=[period_class(**p) for p in periods], # type: ignore 174 )
Parser for NBM reports
151 def parse(report: str) -> Optional[structs.ReportData]: 152 """Parser for NBM reports""" 153 if not report: 154 return None 155 data, lines = _init_parse(report) 156 lines = _trim_lines(lines, 2) 157 period_strings = _split_line(lines[hours], size, prefix) 158 timestamp = data.time.dt if data.time else None 159 periods = _find_time_periods(period_strings, timestamp) 160 data_lines = lines[hours + 1 :] 161 # Normalize line prefix length 162 if prefix != 4: 163 indexes = (4, prefix) 164 start, end = min(indexes), max(indexes) 165 data_lines = [l[:start] + l[end:] for l in data_lines] 166 _parse_lines(periods, data_lines, handle, size) 167 return data_class( # type: ignore 168 raw=data.raw, 169 sanitized=data.sanitized, 170 station=data.station, 171 time=data.time, 172 remarks=data.remarks, 173 forecast=[period_class(**p) for p in periods], # type: ignore 174 )
Parser for NBM reports
151 def parse(report: str) -> Optional[structs.ReportData]: 152 """Parser for NBM reports""" 153 if not report: 154 return None 155 data, lines = _init_parse(report) 156 lines = _trim_lines(lines, 2) 157 period_strings = _split_line(lines[hours], size, prefix) 158 timestamp = data.time.dt if data.time else None 159 periods = _find_time_periods(period_strings, timestamp) 160 data_lines = lines[hours + 1 :] 161 # Normalize line prefix length 162 if prefix != 4: 163 indexes = (4, prefix) 164 start, end = min(indexes), max(indexes) 165 data_lines = [l[:start] + l[end:] for l in data_lines] 166 _parse_lines(periods, data_lines, handle, size) 167 return data_class( # type: ignore 168 raw=data.raw, 169 sanitized=data.sanitized, 170 station=data.station, 171 time=data.time, 172 remarks=data.remarks, 173 forecast=[period_class(**p) for p in periods], # type: ignore 174 )
Parser for NBM reports
205class Nbh(_Nbm): 206 ''' 207 Class to handle NBM NBH report data 208 209 Below is typical usage for fetching and pulling NBH data for KJFK. 210 211 ```python 212 >>> from avwx import Nbh 213 >>> kjfk = Nbh("KJFK") 214 >>> kjfk.station.name 215 'John F Kennedy International Airport' 216 >>> kjfk.update() 217 True 218 >>> kjfk.last_updated 219 datetime.datetime(2020, 7, 26, 20, 37, 42, 352220, tzinfo=datetime.timezone.utc) 220 >>> print(kjfk.raw) 221 """ 222 KJFK NBM V3.2 NBH GUIDANCE 7/26/2020 1900 UTC 223 UTC 20 21 22 23 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 224 TMP 90 89 88 87 85 84 82 81 81 80 79 78 77 76 76 78 81 84 87 89 90 91 92 92 93 225 DPT 69 68 66 66 65 65 65 66 66 66 66 67 67 66 67 67 67 67 67 68 67 67 67 67 67 226 SKY 9 14 41 58 61 71 66 55 39 37 39 43 40 38 29 21 19 26 24 27 22 14 22 26 26 227 WDR 22 22 23 24 25 25 25 25 25 25 25 26 26 26 26 26 26 26 25 24 24 23 23 22 23 228 WSP 10 9 9 8 7 6 5 5 5 6 5 5 5 5 4 4 5 5 7 8 8 9 10 10 10 229 GST 17 16 16 15 14 12 11 12 12 12 12 11 11 9 9 9 9 10 11 13 14 15 16 17 17 230 P01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 231 P06 0 0 0 232 Q01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 233 DUR 0 234 T01 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 235 PZR 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 236 PSN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 237 PPL 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 238 PRA 100100100100100100100100100100100100100100100100100100100100100100100100100 239 S01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 240 SLV 99101102103105105105106105104106104104104104103102100 99 98 98 99100101102 241 I01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 242 CIG 888888888360360350340888888888888888888888888888888888888888888888888888888 243 VIS 110120120140140130120120120120110110110110110120130140150150150150150150150 244 LCB 80 60999999999999999999999999999999999999999999999999999999999999999999999 245 MHT 26 26 20 19 8 7 6 4 4 5 5 5 6 4 5 6 6 11 20 27 37 39 43 39 31 246 TWD 24 26 26 27 26 26 24 23 24 26 26 26 27 27 28 27 27 27 27 26 26 26 25 25 24 247 TWS 15 14 14 13 11 11 11 10 11 11 10 11 10 8 8 7 8 9 12 13 14 15 17 17 16 248 HID 6 5 6 249 SOL 710500430250110 0 30 0 0 0 0 0 0 0 30160330500650760830870870850720 250 """ 251 >>> len(kjfk.data.forecast) 252 25 253 >>> kjfk.data.forecast[0].snow_level 254 Number(repr='99', value=9900, spoken='nine nine hundred') 255 >>> print(kjfk.data.forecast[0].solar_radiation.value, kjfk.units.solar_radiation) 256 710 W/m2 257 ``` 258 259 The `parse` and `from_report` methods can parse a report string if you want 260 to override the normal fetching process. 261 ''' 262 263 report_type = "nbh" 264 _parser = staticmethod(parse_nbh)
Class to handle NBM NBH report data
Below is typical usage for fetching and pulling NBH data for KJFK.
>>> from avwx import Nbh
>>> kjfk = Nbh("KJFK")
>>> kjfk.station.name
'John F Kennedy International Airport'
>>> kjfk.update()
True
>>> kjfk.last_updated
datetime.datetime(2020, 7, 26, 20, 37, 42, 352220, tzinfo=datetime.timezone.utc)
>>> print(kjfk.raw)
"""
KJFK NBM V3.2 NBH GUIDANCE 7/26/2020 1900 UTC
UTC 20 21 22 23 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20
TMP 90 89 88 87 85 84 82 81 81 80 79 78 77 76 76 78 81 84 87 89 90 91 92 92 93
DPT 69 68 66 66 65 65 65 66 66 66 66 67 67 66 67 67 67 67 67 68 67 67 67 67 67
SKY 9 14 41 58 61 71 66 55 39 37 39 43 40 38 29 21 19 26 24 27 22 14 22 26 26
WDR 22 22 23 24 25 25 25 25 25 25 25 26 26 26 26 26 26 26 25 24 24 23 23 22 23
WSP 10 9 9 8 7 6 5 5 5 6 5 5 5 5 4 4 5 5 7 8 8 9 10 10 10
GST 17 16 16 15 14 12 11 12 12 12 12 11 11 9 9 9 9 10 11 13 14 15 16 17 17
P01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
P06 0 0 0
Q01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
DUR 0
T01 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
PZR 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
PSN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
PPL 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
PRA 100100100100100100100100100100100100100100100100100100100100100100100100100
S01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
SLV 99101102103105105105106105104106104104104104103102100 99 98 98 99100101102
I01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
CIG 888888888360360350340888888888888888888888888888888888888888888888888888888
VIS 110120120140140130120120120120110110110110110120130140150150150150150150150
LCB 80 60999999999999999999999999999999999999999999999999999999999999999999999
MHT 26 26 20 19 8 7 6 4 4 5 5 5 6 4 5 6 6 11 20 27 37 39 43 39 31
TWD 24 26 26 27 26 26 24 23 24 26 26 26 27 27 28 27 27 27 27 26 26 26 25 25 24
TWS 15 14 14 13 11 11 11 10 11 11 10 11 10 8 8 7 8 9 12 13 14 15 17 17 16
HID 6 5 6
SOL 710500430250110 0 30 0 0 0 0 0 0 0 30160330500650760830870870850720
"""
>>> len(kjfk.data.forecast)
25
>>> kjfk.data.forecast[0].snow_level
Number(repr='99', value=9900, spoken='nine nine hundred')
>>> print(kjfk.data.forecast[0].solar_radiation.value, kjfk.units.solar_radiation)
710 W/m2
The parse and from_report methods can parse a report string if you want
to override the normal fetching process.
267class Nbs(_Nbm): 268 ''' 269 Class to handle NBM NBS report data 270 271 Below is typical usage for fetching and pulling Nbs data for KJFK. 272 273 ```python 274 >>> from avwx import Nbs 275 >>> kjfk = Nbs("KJFK") 276 >>> kjfk.station.name 277 'John F Kennedy International Airport' 278 >>> kjfk.update() 279 True 280 >>> kjfk.last_updated 281 datetime.datetime(2020, 7, 28, 1, 3, 46, 447635, tzinfo=datetime.timezone.utc) 282 >>> print(kjfk.raw) 283 """ 284 KJFK NBM V3.2 NBS GUIDANCE 7/27/2020 2300 UTC 285 DT /JULY 28 /JULY 29 /JULY 30 286 UTC 03 06 09 12 15 18 21 00 03 06 09 12 15 18 21 00 03 06 09 12 15 18 21 287 FHR 04 07 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70 288 N/X 79 93 76 91 76 289 TMP 85 82 80 83 89 91 89 84 81 79 77 80 85 89 87 83 81 79 77 80 86 88 86 290 DPT 70 70 71 72 72 72 73 72 72 71 69 69 68 67 68 69 68 67 68 69 68 69 70 291 SKY 4 10 2 4 12 23 38 61 53 62 51 26 19 9 21 24 25 34 32 45 57 70 79 292 WDR 23 24 23 24 24 22 23 27 28 28 34 35 21 20 19 22 23 25 26 26 23 20 20 293 WSP 8 8 5 6 8 9 7 5 3 2 1 2 3 6 9 7 4 4 3 3 4 7 8 294 GST 16 15 11 11 13 15 15 11 9 5 4 4 6 12 15 13 11 11 8 6 7 13 15 295 P06 0 1 15 48 17 11 8 8 1 0 5 296 P12 1 48 17 8 1 297 Q06 0 0 0 11 0 0 0 0 0 0 0 298 Q12 0 11 0 0 0 299 DUR 0 2 0 0 0 300 T03 2 3 1 1 2 10 27 30 21 13 8 5 1 0 2 3 4 3 2 3 1 3 7 301 T12 4 48 33 6 8 302 PZR 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 303 PSN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 304 PPL 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 305 PRA 100100100100100100100100100100100100100100100100100100100100100100100 306 S06 0 0 0 0 0 0 0 0 0 0 0 307 SLV 108112113133135139141139137134124113102 99107115114118118119118118118 308 I06 0 0 0 0 0 0 0 0 0 0 0 309 CIG 888888888888888888888170888150888888888888888888888888888888888888888 310 VIS 120120110120130130130110110110110130110110110120120120110110110110110 311 LCB 60 70999 90 90999 50 60 60 60 60 60 22999999200230 70 80 60 60150 60 312 MHT 7 6 5 13 30 46 19 15 7 7 10 16 40 35 13 4 4 4 9 18 31 27 13 313 TWD 23 24 23 27 25 24 27 27 28 21 34 6 26 23 20 19 26 23 27 29 24 20 18 314 TWS 17 16 9 11 13 16 12 9 5 5 4 3 4 8 11 10 8 10 10 6 6 9 13 315 HID 4 4 4 4 3 4 4 5 5 3 4 316 SOL 0 0 0320700760360100 0 0 0320720830620190 0 0 0230480570540 317 """ 318 >>> len(kjfk.data.forecast) 319 23 320 >>> kjfk.data.forecast[0].ceiling 321 Number(repr='888', value=None, spoken='unlimited') 322 >>> print(kjfk.data.forecast[7].precip_amount_12.value, kjfk.units.accumulation) 323 0.11 in 324 ``` 325 326 The `parse` and `from_report` methods can parse a report string if you want 327 to override the normal fetching process. 328 ''' 329 330 report_type = "nbs" 331 _parser = staticmethod(parse_nbs)
Class to handle NBM NBS report data
Below is typical usage for fetching and pulling Nbs data for KJFK.
>>> from avwx import Nbs
>>> kjfk = Nbs("KJFK")
>>> kjfk.station.name
'John F Kennedy International Airport'
>>> kjfk.update()
True
>>> kjfk.last_updated
datetime.datetime(2020, 7, 28, 1, 3, 46, 447635, tzinfo=datetime.timezone.utc)
>>> print(kjfk.raw)
"""
KJFK NBM V3.2 NBS GUIDANCE 7/27/2020 2300 UTC
DT /JULY 28 /JULY 29 /JULY 30
UTC 03 06 09 12 15 18 21 00 03 06 09 12 15 18 21 00 03 06 09 12 15 18 21
FHR 04 07 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70
N/X 79 93 76 91 76
TMP 85 82 80 83 89 91 89 84 81 79 77 80 85 89 87 83 81 79 77 80 86 88 86
DPT 70 70 71 72 72 72 73 72 72 71 69 69 68 67 68 69 68 67 68 69 68 69 70
SKY 4 10 2 4 12 23 38 61 53 62 51 26 19 9 21 24 25 34 32 45 57 70 79
WDR 23 24 23 24 24 22 23 27 28 28 34 35 21 20 19 22 23 25 26 26 23 20 20
WSP 8 8 5 6 8 9 7 5 3 2 1 2 3 6 9 7 4 4 3 3 4 7 8
GST 16 15 11 11 13 15 15 11 9 5 4 4 6 12 15 13 11 11 8 6 7 13 15
P06 0 1 15 48 17 11 8 8 1 0 5
P12 1 48 17 8 1
Q06 0 0 0 11 0 0 0 0 0 0 0
Q12 0 11 0 0 0
DUR 0 2 0 0 0
T03 2 3 1 1 2 10 27 30 21 13 8 5 1 0 2 3 4 3 2 3 1 3 7
T12 4 48 33 6 8
PZR 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
PSN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
PPL 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
PRA 100100100100100100100100100100100100100100100100100100100100100100100
S06 0 0 0 0 0 0 0 0 0 0 0
SLV 108112113133135139141139137134124113102 99107115114118118119118118118
I06 0 0 0 0 0 0 0 0 0 0 0
CIG 888888888888888888888170888150888888888888888888888888888888888888888
VIS 120120110120130130130110110110110130110110110120120120110110110110110
LCB 60 70999 90 90999 50 60 60 60 60 60 22999999200230 70 80 60 60150 60
MHT 7 6 5 13 30 46 19 15 7 7 10 16 40 35 13 4 4 4 9 18 31 27 13
TWD 23 24 23 27 25 24 27 27 28 21 34 6 26 23 20 19 26 23 27 29 24 20 18
TWS 17 16 9 11 13 16 12 9 5 5 4 3 4 8 11 10 8 10 10 6 6 9 13
HID 4 4 4 4 3 4 4 5 5 3 4
SOL 0 0 0320700760360100 0 0 0320720830620190 0 0 0230480570540
"""
>>> len(kjfk.data.forecast)
23
>>> kjfk.data.forecast[0].ceiling
Number(repr='888', value=None, spoken='unlimited')
>>> print(kjfk.data.forecast[7].precip_amount_12.value, kjfk.units.accumulation)
0.11 in
The parse and from_report methods can parse a report string if you want
to override the normal fetching process.
334class Nbe(_Nbm): 335 ''' 336 Class to handle NBM NBE report data 337 338 Below is typical usage for fetching and pulling NBE data for KJFK. 339 340 ```python 341 >>> from avwx import Nbe 342 >>> kjfk = Nbe("KJFK") 343 >>> kjfk.station.name 344 'John F Kennedy International Airport' 345 >>> kjfk.update() 346 True 347 >>> kjfk.last_updated 348 datetime.datetime(2020, 7, 28, 1, 23, 4, 909939, tzinfo=datetime.timezone.utc) 349 >>> print(kjfk.raw) 350 """ 351 KJFK NBM V3.2 NBE GUIDANCE 7/28/2020 0000 UTC 352 WED 29| THU 30| FRI 31| SAT 01| SUN 02| MON 03| TUE 04|WED CLIMO 353 UTC 00 12| 00 12| 00 12| 00 12| 00 12| 00 12| 00 12| 00 354 FHR 24 36| 48 60| 72 84| 96 108|120 132|144 156|168 180|192 355 X/N 93 76| 91 76| 90 74| 86 72| 87 73| 85 74| 86 72| 84 68 83 356 TMP 84 80| 83 80| 81 78| 78 76| 78 78| 78 78| 78 76| 76 357 DPT 72 69| 68 69| 71 68| 67 66| 68 69| 70 71| 70 68| 69 358 SKY 61 21| 23 47| 80 73| 47 31| 30 54| 68 65| 66 59| 32 359 WDR 25 35| 20 26| 20 2| 16 1| 16 7| 16 24| 22 34| 18 360 WSP 5 2| 6 3| 5 4| 3 5| 7 4| 6 4| 5 4| 4 361 GST 11 4| 13 6| 13 10| 9 10| 13 7| 13 9| 16 9| 12 362 P12 48 23| 8 1| 23 28| 28 16| 18 17| 30 41| 46 31| 32 19 18 363 Q12 10 0| 0 0| 0 0| 0 0| 0 0| 0 64| 77 81| 83 364 Q24 | 0 | 0 | 0 | 0 | 0 |141 |164 365 DUR 2 1| 0 0| 0 0| 0 0| 0 0| 2 12| 12 12| 12 366 T12 46 32| 6 8| 21 22| 17 5| 6 5| 25 23| 19 18| 18 367 PZR 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 368 PSN 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 369 PPL 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 370 PRA 100 100|100 100|100 100|100 100|100 100|100 100|100 100|100 371 S12 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 372 SLV 138 114|111 119|119 121|113 101|108 117|134 132|124 123|121 373 I12 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 374 S24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 375 SOL 100 320|190 230|270 250|360 290|370 30|190 260|250 230|450 376 """ 377 >>> len(kjfk.data.forecast) 378 25 379 >>> kjfk.data.forecast[0].wind_direction 380 Number(repr='25', value=250, spoken='two five zero') 381 >>> print(kjfk.data.forecast[1].precip_duration.value, kjfk.units.duration) 382 1 hour 383 ``` 384 385 The `parse` and `from_report` methods can parse a report string if you want 386 to override the normal fetching process. 387 ''' 388 389 report_type = "nbe" 390 _parser = staticmethod(parse_nbe)
Class to handle NBM NBE report data
Below is typical usage for fetching and pulling NBE data for KJFK.
>>> from avwx import Nbe
>>> kjfk = Nbe("KJFK")
>>> kjfk.station.name
'John F Kennedy International Airport'
>>> kjfk.update()
True
>>> kjfk.last_updated
datetime.datetime(2020, 7, 28, 1, 23, 4, 909939, tzinfo=datetime.timezone.utc)
>>> print(kjfk.raw)
"""
KJFK NBM V3.2 NBE GUIDANCE 7/28/2020 0000 UTC
WED 29| THU 30| FRI 31| SAT 01| SUN 02| MON 03| TUE 04|WED CLIMO
UTC 00 12| 00 12| 00 12| 00 12| 00 12| 00 12| 00 12| 00
FHR 24 36| 48 60| 72 84| 96 108|120 132|144 156|168 180|192
X/N 93 76| 91 76| 90 74| 86 72| 87 73| 85 74| 86 72| 84 68 83
TMP 84 80| 83 80| 81 78| 78 76| 78 78| 78 78| 78 76| 76
DPT 72 69| 68 69| 71 68| 67 66| 68 69| 70 71| 70 68| 69
SKY 61 21| 23 47| 80 73| 47 31| 30 54| 68 65| 66 59| 32
WDR 25 35| 20 26| 20 2| 16 1| 16 7| 16 24| 22 34| 18
WSP 5 2| 6 3| 5 4| 3 5| 7 4| 6 4| 5 4| 4
GST 11 4| 13 6| 13 10| 9 10| 13 7| 13 9| 16 9| 12
P12 48 23| 8 1| 23 28| 28 16| 18 17| 30 41| 46 31| 32 19 18
Q12 10 0| 0 0| 0 0| 0 0| 0 0| 0 64| 77 81| 83
Q24 | 0 | 0 | 0 | 0 | 0 |141 |164
DUR 2 1| 0 0| 0 0| 0 0| 0 0| 2 12| 12 12| 12
T12 46 32| 6 8| 21 22| 17 5| 6 5| 25 23| 19 18| 18
PZR 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0
PSN 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0
PPL 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0
PRA 100 100|100 100|100 100|100 100|100 100|100 100|100 100|100
S12 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0
SLV 138 114|111 119|119 121|113 101|108 117|134 132|124 123|121
I12 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0 0| 0
S24 | 0 | 0 | 0 | 0 | 0 | 0 | 0
SOL 100 320|190 230|270 250|360 290|370 30|190 260|250 230|450
"""
>>> len(kjfk.data.forecast)
25
>>> kjfk.data.forecast[0].wind_direction
Number(repr='25', value=250, spoken='two five zero')
>>> print(kjfk.data.forecast[1].precip_duration.value, kjfk.units.duration)
1 hour
The parse and from_report methods can parse a report string if you want
to override the normal fetching process.
393class Nbx(_Nbm): 394 ''' 395 Class to handle NBM NBX report data 396 397 Below is typical usage for fetching and pulling NBX data for KJFK. 398 399 ```python 400 >>> from avwx import Nbx 401 >>> kjfk = Nbx("KJFK") 402 >>> kjfk.station.name 403 'John F Kennedy International Airport' 404 >>> kjfk.update() 405 True 406 >>> kjfk.last_updated 407 datetime.datetime(2023, 10, 17, 4, 0, 0, 909939, tzinfo=datetime.timezone.utc) 408 >>> print(kjfk.raw) 409 """ 410 086092 NBM V4.1 NBX GUIDANCE 10/17/2023 0300 UTC 411 WED 25 |THU 26 |FRI 27 |SAT 28 412 UTC 12 |00 12 |00 12 |00 413 FHR 201|213 225|237 249|261 414 TXN 76| 81 75| 81 75| 81 415 XND 1| 1 1| 2 1| 0 416 TMP 77| 77 77| 78 76| 78 417 TSD 1| 2 1| 1 2| 1 418 DPT 67| 67 69| 68 70| 69 419 DSD 1| 2 1| 1 2| 1 420 SKY 34| 46 27| 50 26| 37 421 SSD 12| 22 13| 22 12| 7 422 WDR 7| 7 7| 6 5| 5 423 WSP 15| 16 15| 17 15| 17 424 WSD 3| 4 3| 3 4| 3 425 GST 22| 24 22| 25 22| 25 426 GSD 2| 2 2| 1 1| 1 427 P12 8| 8 9| 7 7| 7 428 Q12 0| 0 0| 3 0| 0 429 Q24 0| 0| 3| 430 DUR 0| 0 0| 0 0| 0 431 PZR 0| 0 0| 0 0| 0 432 PSN 0| 0 0| 0 0| 0 433 PPL 0| 0 0| 0 0| 0 434 PRA 7| 16 14| 10 6| 11 435 S12 0| 0 0| 0 0| 0 436 I12 0| 0 0| 0 0| 0 437 SOL 1| 35 1| 15 1| 38 438 """ 439 >>> len(kjfk.data.forecast) 440 25 441 >>> kjfk.data.forecast[0].wind_speed 442 Number(repr='15', value=150, spoken='one five zero') 443 >>> print(kjfk.data.forecast[1].solar_radiation.value, kjfk.units.solar_radiation) 444 35 W/m2 445 ``` 446 447 The `parse` and `from_report` methods can parse a report string if you want 448 to override the normal fetching process. 449 ''' 450 451 report_type = "nbx" 452 _parser = staticmethod(parse_nbx)
Class to handle NBM NBX report data
Below is typical usage for fetching and pulling NBX data for KJFK.
>>> from avwx import Nbx
>>> kjfk = Nbx("KJFK")
>>> kjfk.station.name
'John F Kennedy International Airport'
>>> kjfk.update()
True
>>> kjfk.last_updated
datetime.datetime(2023, 10, 17, 4, 0, 0, 909939, tzinfo=datetime.timezone.utc)
>>> print(kjfk.raw)
"""
086092 NBM V4.1 NBX GUIDANCE 10/17/2023 0300 UTC
WED 25 |THU 26 |FRI 27 |SAT 28
UTC 12 |00 12 |00 12 |00
FHR 201|213 225|237 249|261
TXN 76| 81 75| 81 75| 81
XND 1| 1 1| 2 1| 0
TMP 77| 77 77| 78 76| 78
TSD 1| 2 1| 1 2| 1
DPT 67| 67 69| 68 70| 69
DSD 1| 2 1| 1 2| 1
SKY 34| 46 27| 50 26| 37
SSD 12| 22 13| 22 12| 7
WDR 7| 7 7| 6 5| 5
WSP 15| 16 15| 17 15| 17
WSD 3| 4 3| 3 4| 3
GST 22| 24 22| 25 22| 25
GSD 2| 2 2| 1 1| 1
P12 8| 8 9| 7 7| 7
Q12 0| 0 0| 3 0| 0
Q24 0| 0| 3|
DUR 0| 0 0| 0 0| 0
PZR 0| 0 0| 0 0| 0
PSN 0| 0 0| 0 0| 0
PPL 0| 0 0| 0 0| 0
PRA 7| 16 14| 10 6| 11
S12 0| 0 0| 0 0| 0
I12 0| 0 0| 0 0| 0
SOL 1| 35 1| 15 1| 38
"""
>>> len(kjfk.data.forecast)
25
>>> kjfk.data.forecast[0].wind_speed
Number(repr='15', value=150, spoken='one five zero')
>>> print(kjfk.data.forecast[1].solar_radiation.value, kjfk.units.solar_radiation)
35 W/m2
The parse and from_report methods can parse a report string if you want
to override the normal fetching process.