Struct StructuralScore 

pub struct StructuralScore {
    pub label_sim: f32,
    pub dep_sim: f32,
    pub assignee_sim: f32,
    pub parent_sim: f32,
    pub graph_proximity: f32,
}

Per-feature structural similarity breakdown between two items.

All scores are in [0.0, 1.0] range. The individual fields are kept separate so downstream consumers (e.g. RRF fusion) can weight them independently and show per-feature explanations to users.

Fields

label_sim: f32

Jaccard similarity of the two items’ label sets.

dep_sim: f32

Jaccard similarity of direct dependency-neighbour sets (union of out-neighbours and in-neighbours in the graph).

assignee_sim: f32

Jaccard similarity of assignee/agent sets.

parent_sim: f32

1.0 if both items share the same non-null parent goal, 0.0 otherwise. Could be extended to graded parent-chain overlap.

graph_proximity: f32

Graph proximity: 1.0 / (1.0 + shortest_path_distance) using an undirected BFS up to [MAX_HOPS] hops. Items unreachable within the hop limit, or not present in the graph, score 0.0.

Implementations

impl StructuralScore

pub fn mean(&self) -> f32

Weighted average of all feature scores.

Weights are uniform for now; callers may prefer their own aggregation.

Trait Implementations

impl Clone for StructuralScore

fn clone(&self) -> StructuralScore

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for StructuralScore

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

Formats the value using the given formatter.

impl PartialEq for StructuralScore

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for StructuralScore