use std::collections::HashMap;
use std::path::Path;
use std::sync::RwLock;
use async_trait::async_trait;
use semtree_embed::Embedding;
use usearch::{Index, IndexOptions, MetricKind, ScalarKind};
use crate::{Hit, StoreError, VectorStore};
pub struct UsearchStore {
dimensions: usize,
index: Index,
id_map: RwLock<HashMap<u64, String>>,
next_key: RwLock<u64>,
}
impl UsearchStore {
pub fn new(dimensions: usize) -> Result<Self, StoreError> {
let index = Self::make_index(dimensions)?;
Ok(Self {
dimensions,
index,
id_map: RwLock::new(HashMap::new()),
next_key: RwLock::new(0),
})
}
fn make_index(dimensions: usize) -> Result<Index, StoreError> {
let options = IndexOptions {
dimensions,
metric: MetricKind::Cos,
quantization: ScalarKind::F32,
..Default::default()
};
let index = Index::new(&options).map_err(|e| StoreError::Init(e.to_string()))?;
index
.reserve(1024)
.map_err(|e| StoreError::Init(e.to_string()))?;
Ok(index)
}
}
#[async_trait]
impl VectorStore for UsearchStore {
async fn insert(&self, id: &str, embedding: &Embedding) -> Result<(), StoreError> {
let key = {
let mut k = self.next_key.write().unwrap();
let current = *k;
*k += 1;
current
};
self.index
.add(key, embedding)
.map_err(|e| StoreError::Insert(e.to_string()))?;
self.id_map.write().unwrap().insert(key, id.to_string());
Ok(())
}
async fn search(&self, query: &Embedding, top_k: usize) -> Result<Vec<Hit>, StoreError> {
if self.index.size() == 0 {
return Ok(vec![]);
}
let results = self
.index
.search(query, top_k)
.map_err(|e| StoreError::Search(e.to_string()))?;
let map = self.id_map.read().unwrap();
let hits = results
.keys
.iter()
.zip(results.distances.iter())
.filter_map(|(key, dist)| {
map.get(key).map(|id| Hit {
id: id.clone(),
score: 1.0 - dist,
})
})
.collect();
Ok(hits)
}
async fn delete(&self, id: &str) -> Result<(), StoreError> {
let map = self.id_map.read().unwrap();
if let Some((&key, _)) = map.iter().find(|(_, v)| v.as_str() == id) {
drop(map);
self.index
.remove(key)
.map_err(|e| StoreError::Insert(e.to_string()))?;
self.id_map.write().unwrap().remove(&key);
}
Ok(())
}
fn save(&self, path: &Path) -> Result<(), StoreError> {
let index_path = path.join("index.usearch");
self.index
.save(index_path.to_str().unwrap())
.map_err(|e| StoreError::Init(e.to_string()))?;
let meta = serde_json::json!({
"dimensions": self.dimensions,
"next_key": *self.next_key.read().unwrap(),
"id_map": self.id_map.read().unwrap().iter()
.map(|(k, v)| (k.to_string(), v.clone()))
.collect::<HashMap<String, String>>(),
});
let meta_path = path.join("meta.json");
std::fs::write(meta_path, serde_json::to_string(&meta).unwrap())
.map_err(|e| StoreError::Init(e.to_string()))?;
Ok(())
}
fn load(&mut self, path: &Path) -> Result<(), StoreError> {
let meta_path = path.join("meta.json");
let raw =
std::fs::read_to_string(meta_path).map_err(|e| StoreError::Init(e.to_string()))?;
let meta: serde_json::Value =
serde_json::from_str(&raw).map_err(|e| StoreError::Init(e.to_string()))?;
let next_key: u64 = meta["next_key"].as_u64().unwrap_or(0);
let id_map: HashMap<u64, String> = meta["id_map"]
.as_object()
.unwrap_or(&serde_json::Map::new())
.iter()
.filter_map(|(k, v)| Some((k.parse::<u64>().ok()?, v.as_str()?.to_string())))
.collect();
*self.next_key.write().unwrap() = next_key;
*self.id_map.write().unwrap() = id_map;
let index_path = path.join("index.usearch");
self.index = Self::make_index(self.dimensions)?;
self.index
.load(index_path.to_str().unwrap())
.map_err(|e| StoreError::Init(e.to_string()))?;
Ok(())
}
fn len(&self) -> usize {
self.index.size()
}
}