use async_trait::async_trait;
use std::any::Any;
use std::collections::HashMap;
use std::collections::HashSet;
use std::io::Write;
use std::sync::Arc;
use laurus::lexical::LexicalIndexConfig;
use laurus::storage::Storage;
use laurus::storage::memory::{MemoryStorage, MemoryStorageConfig};
use laurus::vector::Vector;
use laurus::vector::core::distance::DistanceMetric;
use laurus::vector::core::field::HnswOption;
use laurus::vector::store::config::VectorFieldConfig;
use laurus::vector::store::request::{
QueryVector, VectorScoreMode, VectorSearchParams, VectorSearchRequest,
};
use laurus::vector::{FieldOption, VectorIndexConfig, VectorSearchQuery};
use laurus::{DataValue, Document};
use laurus::{EmbedInput, EmbedInputType, Embedder};
use laurus::{LaurusError, Result};
const DIM: usize = 16;
const N: u64 = 50;
const STEP: f32 = 0.01;
const HNSW_FILE: &str = "vec/segment_000000.hnsw";
const HNSW_TMP: &str = "vec/segment_000001.hnsw.tmp";
#[derive(Debug)]
struct MockEmbedder {
dimension: usize,
}
#[async_trait]
impl Embedder for MockEmbedder {
async fn embed(&self, input: &EmbedInput<'_>) -> Result<Vector> {
match input {
EmbedInput::Text(_) => Ok(Vector::new(vec![0.0; self.dimension])),
_ => Err(LaurusError::invalid_argument("text only")),
}
}
fn supported_input_types(&self) -> Vec<EmbedInputType> {
vec![EmbedInputType::Text]
}
fn name(&self) -> &str {
"mock"
}
fn as_any(&self) -> &dyn Any {
self
}
}
fn doc_vec(i: u64) -> Vec<f32> {
let theta = i as f32 * STEP;
let mut v = vec![0.0; DIM];
v[0] = theta.cos();
v[1] = theta.sin();
v
}
fn query_vec() -> Vec<f32> {
let mut v = vec![0.0; DIM];
v[0] = 1.0;
v
}
fn hnsw() -> FieldOption {
FieldOption::Hnsw(HnswOption {
dimension: DIM,
distance: DistanceMetric::Cosine,
m: 16,
ef_construction: 100,
default_ef_search: None,
base_weight: 1.0,
quantizer: Default::default(),
rerank_storage: None,
embedder: None,
pq_codebook_path: None,
})
}
fn make_config() -> VectorIndexConfig {
let mut field_configs = HashMap::new();
field_configs.insert(
"vec".to_string(),
VectorFieldConfig {
vector: Some(hnsw()),
lexical: None,
},
);
VectorIndexConfig {
fields: field_configs,
embedder: Arc::new(MockEmbedder { dimension: DIM }),
default_fields: vec!["vec".to_string()],
metadata: HashMap::new(),
deletion_config: laurus::DeletionConfig {
auto_compaction: false,
..Default::default()
},
shard_id: 0,
metadata_config: LexicalIndexConfig::default(),
}
}
async fn build_committed(storage: Arc<dyn Storage>) -> laurus::vector::VectorStore {
let store = laurus::vector::VectorStore::new(storage, make_config()).unwrap();
for id in 0..N {
let doc = Document::builder()
.add_field("vec", DataValue::Vector(doc_vec(id)))
.build();
store.upsert_document_by_internal_id(id, doc).await.unwrap();
}
store.commit().await.unwrap();
store
}
fn request() -> VectorSearchRequest {
VectorSearchRequest {
query: VectorSearchQuery::Vectors(vec![QueryVector {
vector: Vector::new(query_vec()),
weight: 1.0,
fields: Some(vec!["vec".into()]),
}]),
params: VectorSearchParams {
limit: 10,
score_mode: VectorScoreMode::WeightedSum,
fields: None,
allowed_ids: None,
..Default::default()
},
}
}
fn hit_ids(results: &laurus::vector::VectorSearchResults) -> HashSet<u64> {
results.hits.iter().map(|h| h.doc_id).collect()
}
#[tokio::test(flavor = "multi_thread")]
async fn commit_leaves_no_temp_file() {
let storage: Arc<dyn Storage> = Arc::new(MemoryStorage::new(MemoryStorageConfig::default()));
let store = build_committed(storage.clone()).await;
assert!(storage.file_exists(HNSW_FILE), "sealed segment must exist");
assert!(
storage.file_exists("vec/segments.json"),
"manifest must exist"
);
let temps: Vec<String> = storage
.list_files()
.unwrap()
.into_iter()
.filter(|f| f.ends_with(".tmp"))
.collect();
assert!(
temps.is_empty(),
"a successful commit must not leave any .tmp behind, got {temps:?}"
);
assert_eq!(hit_ids(&store.search(request()).unwrap()).len(), 10);
}
#[tokio::test(flavor = "multi_thread")]
async fn orphaned_temp_from_crashed_write_is_ignored() {
let storage: Arc<dyn Storage> = Arc::new(MemoryStorage::new(MemoryStorageConfig::default()));
let store = build_committed(storage.clone()).await;
let before = hit_ids(&store.search(request()).unwrap());
assert_eq!(before.len(), 10);
drop(store);
{
let mut out = storage.create_output(HNSW_TMP).unwrap();
out.write_all(b"partially-written-garbage-from-a-crashed-commit")
.unwrap();
out.close().unwrap();
}
assert!(
storage.file_exists(HNSW_FILE),
"committed segment still present"
);
let reopened = laurus::vector::VectorStore::new(storage.clone(), make_config()).unwrap();
let after = hit_ids(&reopened.search(request()).unwrap());
assert_eq!(
after, before,
"the committed index must survive an orphaned temp file from a crashed write"
);
assert!(
!storage.file_exists(HNSW_TMP),
"the orphaned staging file must be swept on reopen (#879)"
);
}