dgbowl_schemas.dgpost.recipe_1_0 package

class dgbowl_schemas.dgpost.recipe_1_0.Recipe(*, version: Literal['v1.0', '1.0', '1.1', '2.0'], load: Sequence[Load] | None = None, extract: Sequence[Extract] | None = None, transform: Sequence[Transform] | None = None, plot: Sequence[Plot] | None = None, save: Sequence[Save] | None = None)

Bases: BaseModel

version: Literal['v1.0', '1.0', '1.1', '2.0']

load: Sequence[Load] | None

extract: Sequence[Extract] | None

transform: Sequence[Transform] | None

plot: Sequence[Plot] | None

save: Sequence[Save] | None

update()

Submodules

dgbowl_schemas.dgpost.recipe_1_0.extract module

class dgbowl_schemas.dgpost.recipe_1_0.extract.At(*, steps: Sequence[str] = None, indices: Sequence[int] = None, timestamps: Sequence[float] = None)

Bases: BaseModel

steps: Sequence[str]

indices: Sequence[int]

timestamps: Sequence[float]

classmethod check_one_input(values)

class dgbowl_schemas.dgpost.recipe_1_0.extract.Constant(*, value: Any = None, units: str | None = None, **extra_data: Any)

Bases: BaseModel

value: Any

as_: str

units: str | None

class dgbowl_schemas.dgpost.recipe_1_0.extract.Column(*, key: str, **extra_data: Any)

Bases: BaseModel

key: str

as_: str

class dgbowl_schemas.dgpost.recipe_1_0.extract.Extract(*, into: str, at: At | None = None, constants: Sequence[Constant] | None = None, columns: Sequence[Column] | None = None, **extra_data: Any)

Bases: BaseModel

into: str

from_: str | None

at: At | None

constants: Sequence[Constant] | None

columns: Sequence[Column] | None

classmethod check_one_input(values)

dgbowl_schemas.dgpost.recipe_1_0.load module

class dgbowl_schemas.dgpost.recipe_1_0.load.Load(*, as_: str, path: str, type: Literal['datagram', 'table'] = 'datagram', check: bool = True)

Bases: BaseModel

as_: str

path: str

type: Literal['datagram', 'table']

check: bool

dgbowl_schemas.dgpost.recipe_1_0.plot module

class dgbowl_schemas.dgpost.recipe_1_0.plot.SeriesIndex(*, from_zero: bool = True, to_units: str | None = None)

Bases: BaseModel

from_zero: bool

to_units: str | None

class dgbowl_schemas.dgpost.recipe_1_0.plot.Series(*, y: str, x: str | None = None, kind: Literal['scatter', 'line', 'errorbar'] = 'scatter', index: SeriesIndex | None = SeriesIndex(from_zero=True, to_units=None), **extra_data: Any)

Bases: BaseModel

y: str

x: str | None

kind: Literal['scatter', 'line', 'errorbar']

index: SeriesIndex | None

class dgbowl_schemas.dgpost.recipe_1_0.plot.AxArgs(*, cols: Tuple[int, int] | None = None, rows: Tuple[int, int] | None = None, series: Sequence[Series], methods: Dict[str, Any] | None = None, legend: bool = False, **extra_data: Any)

Bases: BaseModel

cols: Tuple[int, int] | None

rows: Tuple[int, int] | None

series: Sequence[Series]

methods: Dict[str, Any] | None

legend: bool

class dgbowl_schemas.dgpost.recipe_1_0.plot.PlotSave(*, as_: str, tight_layout: Dict[str, Any] | None = None, **extra_data: Any)

Bases: BaseModel

as_: str

tight_layout: Dict[str, Any] | None

class dgbowl_schemas.dgpost.recipe_1_0.plot.Plot(*, table: str, ax_args: Sequence[AxArgs], fig_args: Dict[str, Any] | None = None, style: Dict[str, Any] | None = None, nrows: int = 1, ncols: int = 1, save: PlotSave | None = None)

Bases: BaseModel

table: str

ax_args: Sequence[AxArgs]

fig_args: Dict[str, Any] | None

style: Dict[str, Any] | None

nrows: int

ncols: int

save: PlotSave | None

dgbowl_schemas.dgpost.recipe_1_0.save module

class dgbowl_schemas.dgpost.recipe_1_0.save.Save(*, table: str, as_: str, type: Literal['pkl', 'json', 'xlsx', 'csv'] = None, sigma: bool = True)

Bases: BaseModel

table: str

as_: str

type: Literal['pkl', 'json', 'xlsx', 'csv']

sigma: bool

dgbowl_schemas.dgpost.recipe_1_0.transform module

class dgbowl_schemas.dgpost.recipe_1_0.transform.Transform(*, table: str, with_: str, using: Sequence[Dict[str, Any]])

Bases: BaseModel

table: str

with_: str

using: Sequence[Dict[str, Any]]