`nexyron.policy_read`
Generic Description
nexyron.policy_read read one registered policy contract
CALL nexyron.procedures()
YIELD name, description, parameters, output_columns
WHERE name = 'nexyron.policy_read'
RETURN name, description, parameters, output_columns
Abstraction-platform registry procedures create, list, read, and inspect named contracts such as abstractions, features, datasets, snapshots, models, policies, interventions, scenarios, and split policies.
Consumer-Level Explanation
This procedure is part of the abstraction catalog contract layer. Use it when you want to define or inspect named abstraction assets that other runtime procedures will consume later.
Parameters
name: Policy name Required.
Output Columns
namemodelinterventionaction_typesubject_querymin_predictionmax_actionsbandit_modeexploration_strategyexploration_ratereward_fieldarmsrank_descversionstatustags
Example Contract Prerequisite
The executable Cypher blocks on this page query nexyron.procedures() so they work in an empty database and stay synchronized with the live procedure registry. A direct CALL nexyron.policy_read(...) requires the named abstraction contracts, artifacts, features, snapshots, datasets, models, or policies referenced by that call to exist first; otherwise the runtime correctly fails with an unknown-contract error rather than inventing state.
Conceptual Explanation
The important thing about nexyron.policy_read is that it stays inside the same Cypher and abstraction-contract runtime as the rest of Nexyron. That means it can compose with named abstractions, time-aware snapshot contracts, document-style payloads, graph-native identity, and later model or policy layers without forcing you to move into a separate tool first.
More Detailed Explanation
In practical queries, start by deciding the row grain you want after the call: one row per node, one row per path, one row per registry object, one row per artifact, or one row per summary. Then keep that grain explicit with YIELD and named projections. That is the difference between a useful planner-facing example and a vague call that downstream tooling cannot safely compose. For contract-driven abstraction procedures, the executable examples on these pages intentionally inspect procedure metadata unless the required named artifacts are created in the same example.
Advanced Example
CALL nexyron.procedures()
YIELD name, parameters, output_columns
WHERE name = 'nexyron.policy_read'
RETURN name,
[p IN parameters | p.name] AS parameter_names,
output_columns
ORDER BY name
Real Use Cases
- Register reusable member-retention contracts once, then let snapshots, datasets, models, and policies reference those names instead of duplicating raw Cypher in every workflow.
- Keep admin and product teams aligned around one shared abstraction contract for members, households, facilities, interventions, and churn labels during quarterly retraining cycles.
Real Limitations And Tradeoffs
- This surface is contract-driven. If the registered feature, snapshot, dataset, model, or policy definition is weak, the procedure will faithfully execute that weak contract rather than silently repairing it.
- Catalog procedures define or expose metadata. They do not by themselves build data, score models, or apply interventions.
- Reported quality or causal metrics are only as defensible as the dataset, split, and temporal contract supplied underneath.