feat: add local AI captions and queue controls

This commit is contained in:
2026-04-07 06:11:01 +01:00
parent 8905baf4a5
commit bee6adc61a
15 changed files with 2653 additions and 161 deletions
+147 -4
View File
@@ -1,5 +1,5 @@
use anyhow::{anyhow, Result};
use rusqlite::{ffi::sqlite3_auto_extension, Connection};
use rusqlite::{ffi::sqlite3_auto_extension, Connection, Error as SqliteError};
use sqlite_vec::sqlite3_vec_init;
use std::sync::Once;
@@ -19,8 +19,13 @@ pub fn migrate(conn: &Connection) -> Result<()> {
"CREATE VIRTUAL TABLE IF NOT EXISTS image_vec USING vec0(
image_id INTEGER PRIMARY KEY,
embedding FLOAT[{}] distance_metric=cosine
);
CREATE VIRTUAL TABLE IF NOT EXISTS caption_vec USING vec0(
image_id INTEGER PRIMARY KEY,
embedding FLOAT[{}] distance_metric=cosine
);",
CLIP_VECTOR_DIM
CLIP_VECTOR_DIM, CLIP_VECTOR_DIM
))?;
Ok(())
}
@@ -31,6 +36,12 @@ pub fn delete_embedding(conn: &Connection, image_id: i64) -> Result<()> {
Ok(())
}
#[allow(dead_code)]
pub fn delete_caption_embedding(conn: &Connection, image_id: i64) -> Result<()> {
conn.execute("DELETE FROM caption_vec WHERE image_id = ?1", [image_id])?;
Ok(())
}
#[allow(dead_code)]
pub fn upsert_embedding(conn: &Connection, image_id: i64, embedding: &[f32]) -> Result<()> {
if embedding.len() != CLIP_VECTOR_DIM {
@@ -50,12 +61,35 @@ pub fn upsert_embedding(conn: &Connection, image_id: i64, embedding: &[f32]) ->
Ok(())
}
#[allow(dead_code)]
pub fn upsert_caption_embedding(conn: &Connection, image_id: i64, embedding: &[f32]) -> Result<()> {
if embedding.len() != CLIP_VECTOR_DIM {
return Err(anyhow!(
"expected {}-dimensional embedding, got {}",
CLIP_VECTOR_DIM,
embedding.len()
));
}
let packed = pack_f32(embedding);
conn.execute("DELETE FROM caption_vec WHERE image_id = ?1", [image_id])?;
conn.execute(
"INSERT INTO caption_vec (image_id, embedding) VALUES (?1, ?2)",
(&image_id, &packed),
)?;
Ok(())
}
pub fn find_similar_image_ids(conn: &Connection, image_id: i64, limit: usize) -> Result<Vec<i64>> {
let embedding: Vec<u8> = conn.query_row(
let embedding: Vec<u8> = match conn.query_row(
"SELECT embedding FROM image_vec WHERE image_id = ?1",
[image_id],
|row| row.get(0),
)?;
) {
Ok(embedding) => embedding,
Err(SqliteError::QueryReturnedNoRows) => return Ok(Vec::new()),
Err(error) => return Err(error.into()),
};
let mut stmt = conn.prepare(
"SELECT image_id
@@ -155,6 +189,115 @@ pub fn search_image_ids_by_embedding(
Ok(ids)
}
#[allow(dead_code)]
pub fn search_caption_ids_by_embedding(
conn: &Connection,
embedding: &[f32],
limit: usize,
) -> Result<Vec<i64>> {
if embedding.len() != CLIP_VECTOR_DIM {
return Err(anyhow!(
"expected {}-dimensional embedding, got {}",
CLIP_VECTOR_DIM,
embedding.len()
));
}
let packed = pack_f32(embedding);
let mut stmt = conn.prepare(
"SELECT image_id
FROM caption_vec
WHERE embedding MATCH vec_f32(?1)
AND k = ?2",
)?;
let rows = stmt.query_map((&packed, limit as i64), |row| row.get::<_, i64>(0))?;
let mut ids = Vec::new();
for row in rows {
ids.push(row?);
if ids.len() >= limit {
break;
}
}
Ok(ids)
}
pub fn count_image_vectors(conn: &Connection) -> Result<i64> {
conn.query_row("SELECT COUNT(*) FROM image_vec", [], |row| row.get(0))
.map_err(Into::into)
}
#[allow(dead_code)]
pub fn count_caption_vectors(conn: &Connection) -> Result<i64> {
conn.query_row("SELECT COUNT(*) FROM caption_vec", [], |row| row.get(0))
.map_err(Into::into)
}
pub fn delete_orphaned_embeddings(conn: &Connection) -> Result<usize> {
let image_ids = {
let mut stmt = conn.prepare("SELECT id FROM images")?;
let rows = stmt
.query_map([], |row| row.get::<_, i64>(0))?
.collect::<rusqlite::Result<std::collections::HashSet<_>>>()?;
rows
};
let vector_ids = {
let mut stmt = conn.prepare("SELECT image_id FROM image_vec")?;
let rows = stmt
.query_map([], |row| row.get::<_, i64>(0))?
.collect::<rusqlite::Result<Vec<_>>>()?;
rows
};
let orphaned_ids = vector_ids
.into_iter()
.filter(|image_id| !image_ids.contains(image_id))
.collect::<Vec<_>>();
for image_id in &orphaned_ids {
delete_embedding(conn, *image_id)?;
}
Ok(orphaned_ids.len())
}
#[allow(dead_code)]
pub fn delete_orphaned_caption_embeddings(conn: &Connection) -> Result<usize> {
let image_ids = {
let mut stmt = conn.prepare("SELECT id FROM images")?;
let rows = stmt
.query_map([], |row| row.get::<_, i64>(0))?
.collect::<rusqlite::Result<std::collections::HashSet<_>>>()?;
rows
};
let vector_ids = {
let mut stmt = conn.prepare("SELECT image_id FROM caption_vec")?;
let rows = stmt
.query_map([], |row| row.get::<_, i64>(0))?
.collect::<rusqlite::Result<Vec<_>>>()?;
rows
};
let orphaned_ids = vector_ids
.into_iter()
.filter(|image_id| !image_ids.contains(image_id))
.collect::<Vec<_>>();
for image_id in &orphaned_ids {
delete_caption_embedding(conn, *image_id)?;
}
Ok(orphaned_ids.len())
}
pub fn has_image_vector(conn: &Connection, image_id: i64) -> Result<bool> {
conn.query_row(
"SELECT EXISTS(SELECT 1 FROM image_vec WHERE image_id = ?1)",
[image_id],
|row| row.get::<_, i64>(0),
)
.map(|value| value != 0)
.map_err(Into::into)
}
#[allow(dead_code)]
fn pack_f32(values: &[f32]) -> Vec<u8> {
let mut out = Vec::with_capacity(values.len() * std::mem::size_of::<f32>());