pyiem.models.taf module

TAF Data Model.

class pyiem.models.taf.WindShear(*, level, drct, sknt)

Bases: BaseModel

A Wind Shear Value.

Parameters:

• level (Annotated[int, Ge(ge=0), Le(le=100000)])

• drct (Annotated[int, Ge(ge=0), Le(le=360)])

• sknt (Annotated[int, Ge(ge=0), Le(le=199)])

level: int

drct: int

sknt: int

model_config = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

class pyiem.models.taf.SkyCondition(*, amount, level=None)

Bases: BaseModel

The Sky condition.

Parameters:

• amount (str)

• level (Annotated[int | None, Ge(ge=0), Le(le=100000)])

amount: str

level: int | None

model_config = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

class pyiem.models.taf.TAFForecast(*, valid, raw, ftype, end_valid=None, sknt=None, drct=None, gust=None, visibility=None, presentwx=<factory>, sky=<factory>, shear=None)

Bases: BaseModel

A TAF forecast.

Parameters:

• valid (datetime)

• raw (str)

• ftype (Annotated[int, Ge(ge=0), Le(le=5)])

• end_valid (datetime | None)

• sknt (Annotated[int | None, Ge(ge=0), Le(le=199)])

• drct (Annotated[int | None, Ge(ge=0), Le(le=360)])

• gust (Annotated[int | None, Ge(ge=0), Le(le=199)])

• visibility (Annotated[float | None, Ge(ge=0), Le(le=6)])

• presentwx (List[str])

• sky (List[SkyCondition])

• shear (WindShear | None)

valid: datetime

raw: str

ftype: int

end_valid: datetime | None

sknt: int | None

drct: int | None

gust: int | None

visibility: float | None

presentwx: List[str]

sky: List[SkyCondition]

shear: WindShear | None

model_config = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

class pyiem.models.taf.TAFReport(*, station, valid, product_id, observation, forecasts=<factory>)

Bases: BaseModel

A TAF Report consisting of forecasts.

Parameters:

• station (Annotated[str, MinLen(min_length=4), MaxLen(max_length=4)])

• valid (datetime)

• product_id (Annotated[str, MinLen(min_length=28), MaxLen(max_length=35)])

• observation (TAFForecast)

• forecasts (List[TAFForecast])

station: str

valid: datetime

product_id: str

observation: TAFForecast

forecasts: List[TAFForecast]

model_config = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].