use crate::algo::ProjectionBuilder;
use crate::algo::algorithms::{Algorithm, MinimumSpanningTree, MstConfig};
use crate::algo::procedure_template::{GenericAlgoProcedure, GraphAlgoAdapter};
use crate::algo::procedures::{AlgoResultRow, ValueType};
use anyhow::Result;
use serde_json::{Value, json};
pub struct MstAdapter;
impl GraphAlgoAdapter for MstAdapter {
const NAME: &'static str = "uni.algo.mst";
type Algo = MinimumSpanningTree;
fn specific_args() -> Vec<(&'static str, ValueType, Option<Value>)> {
vec![("weightProperty", ValueType::String, None)]
}
fn yields() -> Vec<(&'static str, ValueType)> {
vec![
("source", ValueType::Node),
("target", ValueType::Node),
("weight", ValueType::Float),
]
}
fn to_config(_args: Vec<Value>) -> MstConfig {
MstConfig {}
}
fn map_result(result: <Self::Algo as Algorithm>::Result) -> Result<Vec<AlgoResultRow>> {
Ok(result
.edges
.into_iter()
.map(|(u, v, w)| AlgoResultRow {
values: vec![json!(u.as_u64()), json!(v.as_u64()), json!(w)],
})
.collect())
}
fn customize_projection(mut builder: ProjectionBuilder, args: &[Value]) -> ProjectionBuilder {
if let Some(prop) = args[0].as_str() {
builder = builder.weight_property(prop);
}
builder
}
}
pub type MstProcedure = GenericAlgoProcedure<MstAdapter>;