use crate::error::RecommendResult;
use crate::{Recommendation, RecommendationRequest};
pub struct PersonalizationEngine {
context_processor: super::context::ContextProcessor,
}
impl PersonalizationEngine {
#[must_use]
pub fn new() -> Self {
Self {
context_processor: super::context::ContextProcessor::new(),
}
}
pub fn recommend(
&self,
_request: &RecommendationRequest,
) -> RecommendResult<Vec<Recommendation>> {
Ok(Vec::new())
}
#[must_use]
pub fn adjust_for_context(
&self,
mut recommendations: Vec<Recommendation>,
context: &super::context::UserContext,
) -> Vec<Recommendation> {
for rec in &mut recommendations {
let adjustment = self.context_processor.calculate_context_boost(context);
rec.score *= adjustment;
}
recommendations.sort_by(|a, b| {
b.score
.partial_cmp(&a.score)
.unwrap_or(std::cmp::Ordering::Equal)
});
for (idx, rec) in recommendations.iter_mut().enumerate() {
rec.rank = idx + 1;
}
recommendations
}
}
impl Default for PersonalizationEngine {
fn default() -> Self {
Self::new()
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_personalization_engine_creation() {
let engine = PersonalizationEngine::new();
assert!(std::mem::size_of_val(&engine) > 0);
}
}