Struct ConfidenceLedger 

pub struct ConfidenceLedger { /* private fields */ }

Validated append-only confidence participant content.

The validated rows are private so callers cannot invalidate them after construction. Borrow them through Self::assessments and Self::inputs, or consume both collections with Self::into_parts.

use graphforge_knowledge::ConfidenceLedger;
let mut ledger = ConfidenceLedger::default();
ledger.assessments.clear();

Implementations

impl ConfidenceLedger

pub fn assessments(&self) -> &[ConfidenceAssessment]

Borrow assessments in deterministic order.

pub fn inputs(&self) -> &[ConfidenceInput]

Borrow normalized inputs in deterministic order.

pub fn into_parts(self) -> (Vec<ConfidenceAssessment>, Vec<ConfidenceInput>)

Consume the ledger and return its assessment and input rows.

pub fn new( assessments: Vec<ConfidenceAssessment>, inputs: Vec<ConfidenceInput>, ) -> Result<Self, KnowledgeError>

Validate, sort, and construct confidence content.

pub fn explicit( confidence_uuid: Uuid, assertion_uuid: Uuid, value: f64, provenance_uuid: Uuid, recorded_at_micros: i64, ) -> Result<Self, KnowledgeError>

Evaluate and stage an explicit assessment.

pub fn conservative_min( &self, confidence_uuid: Uuid, assertion_uuid: Uuid, requested: Vec<Uuid>, provenance_uuid: Uuid, recorded_at_micros: i64, ) -> Result<Self, KnowledgeError>

Evaluate conservative_min@1 and persist the normalized requested-input snapshot.

pub fn merge(&self, staged: &Self) -> Result<Self, KnowledgeError>

Merge staged content idempotently.

pub fn assessment_fingerprint( &self, confidence_uuid: Uuid, ) -> Result<[u8; 32], KnowledgeError>

Canonical assessment fingerprint over policy, normalized value, and input snapshot.

pub fn assessment_fingerprints( &self, ) -> Result<Vec<(Uuid, [u8; 32])>, KnowledgeError>

Compute assessment fingerprints in one pass over assessments and grouped inputs.

pub fn assessment_batch(&self) -> Result<RecordBatch, KnowledgeError>

Build the authoritative assessment Arrow batch.

pub fn input_batch(&self) -> Result<RecordBatch, KnowledgeError>

Build the authoritative input Arrow batch.

pub fn from_batches( assessment_batches: &[RecordBatch], input_batches: &[RecordBatch], ) -> Result<Self, KnowledgeError>

Decode authoritative Arrow batches and re-run every invariant.

Trait Implementations

impl Clone for ConfidenceLedger

fn clone(&self) -> Self

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ConfidenceLedger

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for ConfidenceLedger

fn default() -> Self

Returns the “default value” for a type.

impl PartialEq for ConfidenceLedger

fn eq(&self, other: &Self) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl StructuralPartialEq for ConfidenceLedger