Time series

Package: InfrastructureTimeSeriesOpenAPIModels · Depends on: InfrastructureCoreOpenAPIModels

Time series associations: the six canonical time series types defined by the upstream data layer and their metadata, without the dense values

Types

Type Description
Deterministic A deterministic forecast: one horizon-length array per window, windows stepping by interval.
DeterministicSingleTimeSeries A synthetic deterministic forecast derived from a SingleTimeSeries by transform_single_time_series.
ElementType Canonical element type of the stored array: a dtype spelling (f64, f32, i64, i32, u64, u32, u16, u8, i16, i8, bool) for plain scalars, else tuple(N,dtype) or a function-data kind (linear_function, quadratic_function, piecewise_linear, piecewise_step).
NonSequentialTimeSeries An irregular static time series, sampled at explicit timestamps rather than on a grid.
OwnerCategory Whether a time series’ owner is a component or a supplemental attribute.
Period A time period as an ISO-8601 duration string, used for resolution, horizon, and interval.
Probabilistic A probabilistic forecast: per-percentile, per-window horizon arrays.
Scenarios A scenarios forecast: per-scenario, per-window horizon arrays.
SingleTimeSeries A static time series on a regular grid: values at initial_timestamp + k * resolution.
TimeReference How a series’ timestamps were spelled, recorded so a read hands back what the write declared instead of relabelling every series UTC.
TimeSeriesAssociation Metadata linking one time series to the component or supplemental attribute that owns it — the JSON form of a row in the store’s time_series_associations catalog table.
TimeSeriesFeatureValue One feature value.
TimeSeriesFeatures User-defined key/value tags forming part of a series’ identity.

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