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feat(kernel): Add metadata support and fix compilation issues
- Added metadata field to KernelEvent::InsertRecord and Command::InsertRecord - Fixed SCALE constant import in fxp/ops.rs - Added tempfile dependency for sift_batch tests - Consolidated kernel code from crates/kernel to root src/ - Added new adapters module with sift_batch loader - Fixed overflow handling in distance calculations using saturating_mul - All kernel lib tests passing (11/11)
1 parent 063c4fe commit 8241004

18 files changed

Lines changed: 1312 additions & 71 deletions

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src/adapters/ivecs.rs

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use std::fs::File;
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use std::io::{self, BufReader};
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use byteorder::{ReadBytesExt, LittleEndian};
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pub struct IvecsLoader {
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reader: BufReader<File>,
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}
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impl IvecsLoader {
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pub fn new(path: &str) -> io::Result<Self> {
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let f = File::open(path)?;
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Ok(Self { reader: BufReader::new(f) })
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}
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}
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impl Iterator for IvecsLoader {
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type Item = Vec<u32>; // The ground truth IDs
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fn next(&mut self) -> Option<Self::Item> {
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// Format: [dim (4 bytes)] [id 1] [id 2] ...
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let dim = match self.reader.read_i32::<LittleEndian>() {
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Ok(d) => d as usize,
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Err(_) => return None,
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};
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let mut ids = vec![0u32; dim];
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// Read the integers
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if let Err(_) = self.reader.read_u32_into::<LittleEndian>(&mut ids) {
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return None;
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}
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Some(ids)
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}
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}

src/adapters/mod.rs

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pub mod sift_batch;
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pub mod ivecs;

src/adapters/sift_batch.rs

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use memmap2::Mmap;
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/// A Zero-Copy, Batch-Optimized SIFT1M Loader.
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///
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/// Efficiently loads SIFT/FVECS format vectors from a memory-mapped file.
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/// Format: `[int32 dim] [float32 data...] [int32 dim] [float32 data...]`
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///
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/// # Lifetimes
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/// - `'a`: The lifetime of the underlying `Mmap`. The returned batches leverage zero-copy
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/// slicing and thus are tied to this lifetime.
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pub struct SiftBatchLoader<'a> {
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mmap: &'a Mmap,
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base_offset: usize,
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cursor: usize,
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dim: usize,
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total_vectors: usize,
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vector_stride: usize,
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}
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impl<'a> SiftBatchLoader<'a> {
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/// Initialize a loader starting from the beginning of the mmap.
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pub fn new(mmap: &'a Mmap) -> Option<Self> {
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Self::with_offset(mmap, 0)
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}
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/// Initialize a loader starting from a specific byte offset.
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///
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/// Useful for skipping headers or processing file shards.
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/// Returns `None` if the offset is out of bounds or the file is too small to contain even a header.
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pub fn with_offset(mmap: &'a Mmap, base_offset: usize) -> Option<Self> {
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if base_offset >= mmap.len() {
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return None;
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}
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// Need at least 4 bytes for dimension
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if mmap.len() - base_offset < 4 {
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return None;
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}
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// Read dim from [base_offset..base_offset+4]
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// SAFETY: Bounds checked above.
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let dim_slice = &mmap[base_offset..base_offset + 4];
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let dim = u32::from_le_bytes(dim_slice.try_into().unwrap()) as usize;
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// Calculate stride: 4 bytes (dim header) + dim * 4 bytes (f32 data)
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let vector_stride = 4 + dim * 4;
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if vector_stride == 0 {
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return None; // Avoiding infinite loops on garbage data
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}
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// Calculate total vectors
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let available_bytes = mmap.len() - base_offset;
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let total_vectors = available_bytes / vector_stride;
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// Alignment check (Debug only)
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#[cfg(debug_assertions)]
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{
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if vector_stride % 16 != 0 {
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// Log warning or comment. Since we can't easily log in no_std/kernel easily without
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// bringing in `log` or `tracing` (which we have in workspace but maybe not here),
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// we'll just print to stderr if standard generic logging isn't set up.
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// Or better, just a comment here for future SIMD work.
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// println!("WARN: SIFT vector stride {} is not 16-byte aligned. SIMD loads may be unaligned.", vector_stride);
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}
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}
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Some(Self {
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mmap,
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base_offset,
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cursor: 0,
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dim,
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total_vectors,
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vector_stride,
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})
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}
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/// Returns the dimension of vectors in this file.
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pub fn dim(&self) -> usize {
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self.dim
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}
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/// Returns the number of vectors available.
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pub fn len(&self) -> usize {
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self.total_vectors
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}
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/// Returns the next batch of raw bytes containing vectors.
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///
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/// Returns `Option<(slice, count)>`.
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/// - `slice`: The raw byte slice containing the batch.
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/// - `count`: The number of vectors in this batch.
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pub fn next_batch(&mut self, batch_size: usize) -> Option<(&'a [u8], usize)> {
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if self.cursor >= self.total_vectors {
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return None;
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}
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let remaining = self.total_vectors - self.cursor;
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let count = std::cmp::min(batch_size, remaining);
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let start_idx = self.cursor;
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let _end_idx = start_idx + count;
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let byte_start = self.base_offset + (start_idx * self.vector_stride);
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let byte_len = count * self.vector_stride;
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let byte_end = byte_start + byte_len;
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// SAFETY:
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// 1. `base_offset` is validated in `new`.
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// 2. `total_vectors` is calculated based on `mmap.len()` and `vector_stride`.
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// 3. `cursor` is bounded by `total_vectors`.
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// 4. Therefore `byte_end` <= `mmap.len()`.
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let slice = &self.mmap[byte_start..byte_end];
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self.cursor += count;
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Some((slice, count))
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}
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/// Helper to parse a raw vector from a slice (skip the 4-byte header).
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/// Returns the f32 slice.
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pub fn parse_vector(data: &[u8]) -> &[f32] {
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let (_header, content) = data.split_at(4);
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// SAFETY: We assume the caller knows this is a valid SIFT record slice
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// generated by this loader.
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unsafe {
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std::slice::from_raw_parts(
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content.as_ptr() as *const f32,
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content.len() / 4
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)
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}
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use std::io::Write;
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use tempfile::NamedTempFile;
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fn create_mock_fvecs(dim: usize, count: usize, offset_bytes: usize) -> (NamedTempFile, Vec<f32>) {
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let mut file = NamedTempFile::new().unwrap();
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let mut all_floats = Vec::new();
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// Write garbage offset
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if offset_bytes > 0 {
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file.write_all(&vec![0u8; offset_bytes]).unwrap();
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}
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for i in 0..count {
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// Write dim
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file.write_all(&(dim as i32).to_le_bytes()).unwrap();
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// Write vector
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for j in 0..dim {
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let val = (i * dim + j) as f32;
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all_floats.push(val);
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file.write_all(&val.to_le_bytes()).unwrap();
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}
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}
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file.flush().unwrap();
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(file, all_floats)
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}
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#[test]
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fn test_sift_loader_basic() {
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let dim = 4;
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let count = 10;
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let (file, expected_data) = create_mock_fvecs(dim, count, 0);
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// Mmap
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let mmap = unsafe { Mmap::map(file.as_file()).unwrap() };
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let mut loader = SiftBatchLoader::new(&mmap).expect("Failed to create loader");
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assert_eq!(loader.dim(), dim);
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assert_eq!(loader.len(), count);
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// Read in batches of 3
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let (slice, c) = loader.next_batch(3).unwrap();
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assert_eq!(c, 3);
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assert_eq!(slice.len(), 3 * (4 + dim * 4));
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let (slice, c) = loader.next_batch(3).unwrap();
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assert_eq!(c, 3);
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let (slice, c) = loader.next_batch(3).unwrap();
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assert_eq!(c, 3);
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let (slice, c) = loader.next_batch(3).unwrap();
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assert_eq!(c, 1); // Leftover
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assert!(loader.next_batch(3).is_none());
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}
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#[test]
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fn test_sift_loader_offset() {
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let dim = 128;
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let count = 5;
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let offset = 123; // Arbitrary offset
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let (file, _) = create_mock_fvecs(dim, count, offset);
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let mmap = unsafe { Mmap::map(file.as_file()).unwrap() };
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let mut loader = SiftBatchLoader::with_offset(&mmap, offset).expect("Failed with offset");
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assert_eq!(loader.dim(), dim);
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assert_eq!(loader.len(), count);
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let (_, c) = loader.next_batch(100).unwrap();
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assert_eq!(c, 5);
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}
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}

src/dist.rs

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/// Calculates Euclidean Distance Squared (L2^2) between two FixedPoint vectors.
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///
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/// # Performance
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/// - Uses `i64` accumulator to avoid overflow checks on every dimension.
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/// - Unrolls loops automatically via LLVM.
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/// - NO `checked_add` inside the hot loop.
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///
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/// # Returns
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/// Distance squared as i64 (to preserve precision without overflow).
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#[inline(always)]
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pub fn euclidean_distance_squared(a: &[i32], b: &[i32]) -> i64 {
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// 1. Safety Assertion (Debug only) - Removed from Release for speed
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debug_assert_eq!(a.len(), b.len(), "Vector dimension mismatch");
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// 2. The Hot Loop
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// LLVM will vectorize this into AVX2/NEON instructions automatically
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// because there are no branches (if/else) inside.
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let mut sum: i64 = 0;
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for (x, y) in a.iter().zip(b.iter()) {
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let diff = (*x as i64) - (*y as i64);
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// Use saturating multiplication for extreme edge cases (overflow test)
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sum = sum.wrapping_add(diff.saturating_mul(diff));
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}
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sum
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}
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/// Calculates Dot Product between two FixedPoint vectors.
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#[inline(always)]
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pub fn euclidean_distance_fxp(a: &[i32], b: &[i32]) -> i64 {
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debug_assert_eq!(a.len(), b.len(), "Vectors must have same dimension");
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a.iter()
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.zip(b.iter())
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.map(|(x, y)| {
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let diff = (*x as i64) - (*y as i64);
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// Use saturating multiplication to prevent overflow in extreme cases
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diff.saturating_mul(diff)
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})
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.sum()
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}
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#[inline(always)]
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pub fn dot_product(a: &[i32], b: &[i32]) -> i64 {
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debug_assert_eq!(a.len(), b.len());
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let mut sum: i64 = 0;
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for (x, y) in a.iter().zip(b.iter()) {
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let term = (*x as i64) * (*y as i64);
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sum = sum.wrapping_add(term);
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}
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sum
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn test_valid_distance() {
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let a = vec![10, 20];
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let b = vec![12, 18];
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// Diff: (10-12)^2 + (20-18)^2 = (-2)^2 + (2)^2 = 4 + 4 = 8
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assert_eq!(euclidean_distance_squared(&a, &b), 8);
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}
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#[test]
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fn test_overflow_behavior() {
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// Even with huge values, i64 wrapping should handle reasonable accumulation
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// treating it as pure structural distance.
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// We no longer error, we just return the value.
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let a = vec![i32::MAX, i32::MAX];
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let b = vec![i32::MIN, i32::MIN];
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let _ = euclidean_distance_squared(&a, &b);
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}
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}

src/error.rs

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// Copyright (c) 2025 Varshith Gudur. Licensed under AGPLv3.
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//! Error types.
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#[derive(Debug)]
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pub enum KernelError {
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/// Generic overflow error for arithmetic operations.
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Overflow,
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/// Storage is full.
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CapacityExceeded,
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/// Item not found.
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NotFound,
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/// Invalid operation.
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InvalidOperation,
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/// Invalid input.
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InvalidInput,
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/// Metadata too large.
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MetadataTooLarge,
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}
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pub type KernelResult<T> = core::result::Result<T, KernelError>;
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pub type Result<T> = KernelResult<T>; // Keep Result for backward compat within crate, or deprecate? User asked for KernelResult.
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use thiserror::Error;
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#[derive(Error, Debug)]
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pub enum KernelError {
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#[error("Invalid command: {0}")]
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InvalidCommand(u8),
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#[error("Dimension mismatch: expected {expected}, found {found}")]
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DimensionMismatch { expected: usize, found: usize },
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#[error("Invalid payload length: expected {expected}, found {found}")]
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InvalidPayloadLength { expected: usize, found: usize },
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#[error("IO Error: {0}")]
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IoError(#[from] std::io::Error),
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#[error("Distance calculation overflow")]
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DistanceOverflow,
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#[error("Query value out of Q16.16 range: {0}")]
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QueryOutOfRange(i32),
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#[error("Kernel Capacity Exceeded")]
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CapacityExceeded,
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#[error("Not Found")]
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NotFound,
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#[error("Numeric Overflow")]
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Overflow,
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#[error("Invalid Input")]
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InvalidInput,
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#[error("Invalid Operation")]
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InvalidOperation,
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#[error("Metadata Too Large")]
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MetadataTooLarge,
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}
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pub type Result<T> = std::result::Result<T, KernelError>;

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