pub struct TestQuery {
pub query_text: String,
pub query_embedding: Vec<i16>,
pub relevant_chunk_ids: Vec<Uuid>,
pub relevance_grades: Vec<u8>,
}Expand description
A single test query with ground-truth relevance information.
Per CP-015 section 4: each test query includes the query text, a pre-computed embedding, the set of known-relevant chunk IDs, and graded relevance scores.
Fields§
§query_text: StringThe query text.
query_embedding: Vec<i16>Pre-computed query embedding (i16 quantized, variable dimension). This is the raw i16 vector as stored in Arweave, matching the network’s canonical embedding model.
relevant_chunk_ids: Vec<Uuid>Ground-truth relevant chunk IDs for this query.
relevance_grades: Vec<u8>Graded relevance scores corresponding to relevant_chunk_ids.
Values 0-3 where 0 = not relevant, 1 = marginally relevant,
2 = relevant, 3 = highly relevant.
Must be the same length as relevant_chunk_ids.
Implementations§
Source§impl TestQuery
impl TestQuery
Sourcepub fn query_embedding_f32(&self) -> Vec<f32>
pub fn query_embedding_f32(&self) -> Vec<f32>
Convert the i16 query embedding to the format expected by
GraphStore::search (f32).
Sourcepub fn query_embedding_i16(&self) -> Vec<i16>
pub fn query_embedding_i16(&self) -> Vec<i16>
Return the i16 query embedding directly.
Sourcepub fn relevance_grade_map(&self) -> HashMap<Uuid, u8>
pub fn relevance_grade_map(&self) -> HashMap<Uuid, u8>
Build a map from chunk ID to relevance grade for NDCG computation.
Trait Implementations§
Source§impl<'de> Deserialize<'de> for TestQuery
impl<'de> Deserialize<'de> for TestQuery
Source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Auto Trait Implementations§
impl Freeze for TestQuery
impl RefUnwindSafe for TestQuery
impl Send for TestQuery
impl Sync for TestQuery
impl Unpin for TestQuery
impl UnsafeUnpin for TestQuery
impl UnwindSafe for TestQuery
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