use crate::engine::EvaluationOptions;
use crate::handler::graph::{DecisionGraph, DecisionGraphConfig, DecisionGraphResponse};
use crate::loader::{DecisionLoader, NoopLoader};
use crate::model::DecisionContent;
use crate::{DecisionGraphValidationError, EvaluationError};
use serde_json::Value;
use std::sync::Arc;
#[derive(Debug, Clone)]
pub struct Decision<L>
where
L: DecisionLoader,
{
content: Arc<DecisionContent>,
loader: Arc<L>,
}
impl From<DecisionContent> for Decision<NoopLoader> {
fn from(value: DecisionContent) -> Self {
Self {
content: value.into(),
loader: NoopLoader::default().into(),
}
}
}
impl From<Arc<DecisionContent>> for Decision<NoopLoader> {
fn from(value: Arc<DecisionContent>) -> Self {
Self {
content: value,
loader: NoopLoader::default().into(),
}
}
}
impl<L> Decision<L>
where
L: DecisionLoader,
{
pub fn with_loader<NL>(self, loader: Arc<NL>) -> Decision<NL>
where
NL: DecisionLoader,
{
Decision {
loader,
content: self.content,
}
}
pub async fn evaluate(
&self,
context: &Value,
) -> Result<DecisionGraphResponse, Box<EvaluationError>> {
self.evaluate_with_opts(context, Default::default()).await
}
pub async fn evaluate_with_opts(
&self,
context: &Value,
options: EvaluationOptions,
) -> Result<DecisionGraphResponse, Box<EvaluationError>> {
let mut decision_graph = DecisionGraph::try_new(DecisionGraphConfig {
max_depth: options.max_depth.unwrap_or(5),
trace: options.trace.unwrap_or_default(),
loader: self.loader.clone(),
iteration: 0,
content: &self.content,
})?;
Ok(decision_graph.evaluate(context).await?)
}
pub fn validate(&self) -> Result<(), DecisionGraphValidationError> {
let decision_graph = DecisionGraph::try_new(DecisionGraphConfig {
max_depth: 1,
trace: false,
loader: self.loader.clone(),
iteration: 0,
content: &self.content,
})?;
decision_graph.validate()
}
}