Struct SemanticSearchService 

pub struct SemanticSearchService { /* private fields */ }

Implementations

impl SemanticSearchService

pub fn new(drive_root: impl Into<PathBuf>) -> Self

pub fn status(&self, conn: &Connection) -> Result<SemanticStatus>

pub fn model_assets_installed() -> bool

Whether every file needed for local visual search is present.

pub async fn install_model_assets<F>( cancel: Option<&AtomicBool>, progress: F, ) -> Result<(), String>

where F: FnMut(&str, u64, Option<u64>) + Send,

pub fn index_stats(&self, conn: &Connection) -> Result<SemanticIndexStats>

pub fn next_pending_batch( &self, conn: &Connection, limit: usize, ) -> Result<Vec<SemanticPhotoInput>>

pub fn mark_failed(conn: &Connection, photo_id: i64, error: &str) -> Result<()>

pub fn mark_indexed( &self, conn: &mut Connection, photo_id: i64, vector: &[f32], ) -> Result<()>

pub fn index_next_batch( &self, conn: &mut Connection, runner: &mut SemanticImageRunner, limit: usize, cancel: &AtomicBool, ) -> Result<SemanticIndexBatchOutcome, String>

pub fn search_text( &self, conn: &Connection, runner: &mut SemanticModelRunner, query: &str, limit: usize, ) -> Result<Vec<SemanticCandidate>, String>

pub fn search_text_cached( &self, conn: &Connection, cache: &mut SemanticIndexCache, runner: &mut SemanticModelRunner, query: &str, limit: usize, ) -> Result<Vec<SemanticCandidate>, String>

pub fn similar_to_photo( &self, conn: &Connection, photo_id: i64, limit: usize, ) -> Result<Vec<SemanticCandidate>, String>

pub fn similar_to_photo_cached( &self, conn: &Connection, cache: &mut SemanticIndexCache, photo_id: i64, limit: usize, ) -> Result<Vec<SemanticCandidate>, String>

pub fn search_vector_cached( &self, conn: &Connection, cache: &mut SemanticIndexCache, query: &[f32], limit: usize, ) -> Result<Vec<SemanticCandidate>, String>

pub fn search_vector( &self, conn: &Connection, query: &[f32], limit: usize, ) -> Result<Vec<SemanticCandidate>, String>

pub fn image_runner() -> Result<SemanticImageRunner, String>

pub fn model_runner() -> Result<SemanticModelRunner, String>