Expand description
The six classification dimensions — CRD-facing with JsonSchema,
From/Into bridges to tatara_core::domain::classification.
Structs§
- Classification
- Lattice position of a Process — six orthogonal axes.
- Horizon
- How long the point runs. Flattened struct-of-optionals so the OpenAPI
schema carries a single
kinddiscriminator without per-variant merge. - Unknown
Arity - Unknown
Calm Classification - Unknown
Convergence Point Type - Unknown
Data Classification - Unknown
Horizon Kind - Unknown
Optimization Direction - Unknown
Substrate Type
Enums§
- Arity
- Edge cardinality of a
ConvergencePointType’s input or output. - Calm
Classification - CALM theorem classification — determines whether coordination is required.
- Convergence
Point Type - Structural type — how data flows through the point.
- Data
Classification - Data sensitivity, drives compliance baseline selection.
- Horizon
Kind - The shape of a convergence horizon’s lifetime — does the point run toward a fixed point and terminate, or run in perpetuity with a rate signal?
- Optimization
Direction - Direction of asymptotic optimization — does the metric trend downward (cost / latency / error rate) or upward (throughput / coverage / revenue)?
- Substrate
Type - Operational substrate.
Traits§
- Classification
Axis - Test/audit helper — a closed-set variant that can overlay its
classification-axis slot onto a base
Classification. Unifies the five per-axis assignments (horizon = Horizon { kind: self, .. default() },calm = self,data_classification = self,point_type = self,substrate = self) under ONE substrate shape soClassification::gate_compute_with_axiscan compose the workspace baseline with a single-axis mutation generically over any of the five classification axes.