flexmeasures.data.schemas.io

Classes

class flexmeasures.data.schemas.io.Input(*, only: Sequence[str] | AbstractSet[str] | None = None, exclude: Sequence[str] | AbstractSet[str] = (), many: bool | None = None, load_only: Sequence[str] | AbstractSet[str] = (), dump_only: Sequence[str] | AbstractSet[str] = (), partial: bool | Sequence[str] | AbstractSet[str] | None = None, unknown: Literal['exclude', 'include', 'raise'] | None = None)

This schema implements the required fields to perform a TimedBeliefs search using the method flexmeasures.data.models.time_series:TimedBelief.search_beliefs.

It includes the field name, which is not part of the search query, for later reference of the belief.

class flexmeasures.data.schemas.io.Output(*, only: Sequence[str] | AbstractSet[str] | None = None, exclude: Sequence[str] | AbstractSet[str] = (), many: bool | None = None, load_only: Sequence[str] | AbstractSet[str] = (), dump_only: Sequence[str] | AbstractSet[str] = (), partial: bool | Sequence[str] | AbstractSet[str] | None = None, unknown: Literal['exclude', 'include', 'raise'] | None = None)

class flexmeasures.data.schemas.io.RequiredInput(*, only: Sequence[str] | AbstractSet[str] | None = None, exclude: Sequence[str] | AbstractSet[str] = (), many: bool | None = None, load_only: Sequence[str] | AbstractSet[str] = (), dump_only: Sequence[str] | AbstractSet[str] = (), partial: bool | Sequence[str] | AbstractSet[str] | None = None, unknown: Literal['exclude', 'include', 'raise'] | None = None)

class flexmeasures.data.schemas.io.RequiredOutput(*, only: Sequence[str] | AbstractSet[str] | None = None, exclude: Sequence[str] | AbstractSet[str] = (), many: bool | None = None, load_only: Sequence[str] | AbstractSet[str] = (), dump_only: Sequence[str] | AbstractSet[str] = (), partial: bool | Sequence[str] | AbstractSet[str] | None = None, unknown: Literal['exclude', 'include', 'raise'] | None = None)