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#![feature(iterator_try_collect, absolute_path)]
use anyhow::Result;
use clap::Parser;
use sha2::{Digest, Sha512_256};
use std::{
fs,
io::{self, Write},
path::{self, PathBuf},
};
use embedders::*;
use tsp_approx::*;
mod embedders;
mod tsp_approx;
#[derive(Debug, Clone, Copy, clap::ValueEnum)]
enum Embedder {
Brightness,
Hue,
Color,
ContentEuclidean,
ContentCosineSim,
ContentManhatten,
}
#[derive(Debug, Clone, Copy, clap::ValueEnum)]
enum TspAlg {
MstDfs,
Christofides,
ChristofidesRefined,
}
#[derive(Debug, Parser)]
struct Args {
/// Characteristic to sort by
#[arg(short, long, default_value = "content-euclidean")]
embedder: Embedder,
/// Symlink the sorted images into this directory
#[arg(short = 's', long)]
symlink_dir: Option<PathBuf>,
/// Copy the sorted images into this directory. Uses COW when available
#[arg(short = 'o', long)]
copy_dir: Option<PathBuf>,
/// Write sorted paths into stdout, one per line
#[arg(short = 'c', long)]
stdout: bool,
/// Write sorted paths into stdout, null-separated. Overrides -c
#[arg(short = '0', long)]
stdout0: bool,
/// Output total tour length to stderr
#[arg(short = 'b', long)]
benchmark: bool,
/// Algorithm for TSP approximation. Leave as default if unsure.
#[arg(long, default_value = "christofides")]
tsp_approx: TspAlg,
images: Vec<PathBuf>,
}
#[derive(Debug)]
struct Config {
base_dirs: xdg::BaseDirectories,
}
fn get_config() -> Result<Config> {
let dirs = xdg::BaseDirectories::with_prefix("embeddings-sort")?;
Ok(Config { base_dirs: dirs })
}
fn hash_file(p: &PathBuf) -> Result<[u8; 32]> {
let mut f = fs::File::open(p)?;
let mut hasher = Sha512_256::new();
io::copy(&mut f, &mut hasher)?;
Ok(hasher
.finalize()
.into_iter()
.collect::<Vec<u8>>()
.try_into()
.unwrap())
}
fn process_embedder<E>(mut e: E, args: &Args, cfg: &Config) -> Result<(Vec<PathBuf>, f64)>
where
E: BatchEmbedder,
{
if args.images.is_empty() {
return Ok((Vec::new(), 0.));
}
let db = sled::open(cfg.base_dirs.place_cache_file("embeddings.db")?)?;
let tree = typed_sled::Tree::<[u8; 32], E::Embedding>::open(&db, E::NAME);
let mut embeds: Vec<Option<_>> = args
.images
.iter()
.map(|p| {
let h = hash_file(p)?;
let r: Result<Option<E::Embedding>> = tree.get(&h).map_err(|e| e.into());
r
})
.try_collect()?;
let missing_embeds_indices: Vec<_> = embeds
.iter()
.enumerate()
.filter_map(|(i, v)| match v {
None => Some(i),
Some(_) => None,
})
.collect();
// TODO only run e.embeds if !missing_embeds_indices.is_empty(); this allows
// for optimizations in the ai embedde (move pip to ::embeds() instead of ::new())
let missing_embeds = if missing_embeds_indices.is_empty() {
Vec::new()
} else {
e.embeds(
&missing_embeds_indices
.iter()
.map(|i| args.images[*i].clone())
.collect::<Vec<_>>(),
)?
};
for (idx, emb) in missing_embeds_indices
.into_iter()
.zip(missing_embeds.into_iter())
{
tree.insert(&hash_file(&args.images[idx])?, &emb)?;
embeds[idx] = Some(emb);
}
let embeds: Vec<_> = embeds.into_iter().map(|e| e.unwrap()).collect();
let (tsp_path, total_dist) = tsp(&embeds, &args.tsp_approx);
Ok((
tsp_path.iter().map(|i| args.images[*i].clone()).collect(),
total_dist,
))
}
fn copy_into(tsp: &[PathBuf], target: &PathBuf, use_symlinks: bool) -> Result<()> {
fs::create_dir_all(target)?;
let pad_len = (tsp.len() as f64).log10().ceil() as usize;
for (i, p) in tsp.iter().enumerate() {
let ext: String = match p.extension() {
None => "".to_string(),
Some(e) => format!(".{}", e.to_str().unwrap()),
};
let tp = target.join(format!("{i:0pad_len$}{ext}"));
if use_symlinks {
let rel_path =
pathdiff::diff_paths(path::absolute(p)?, path::absolute(target)?).unwrap();
let _ = fs::remove_file(&tp);
std::os::unix::fs::symlink(rel_path, tp)?;
} else {
reflink_copy::reflink_or_copy(p, tp)?;
}
}
Ok(())
}
fn main() -> Result<()> {
let cfg = get_config()?;
let args = Args::parse();
let (tsp_path, total_dist) = match args.embedder {
Embedder::Brightness => process_embedder(BrightnessEmbedder, &args, &cfg),
Embedder::Hue => process_embedder(HueEmbedder, &args, &cfg),
Embedder::Color => process_embedder(ColorEmbedder, &args, &cfg),
Embedder::ContentCosineSim => {
process_embedder(ContentEmbedder::<CosineSimilarity>::new(&cfg), &args, &cfg)
}
Embedder::ContentEuclidean => {
process_embedder(ContentEmbedder::<EuclidianDistance>::new(&cfg), &args, &cfg)
}
Embedder::ContentManhatten => {
process_embedder(ContentEmbedder::<ManhattenDistance>::new(&cfg), &args, &cfg)
}
}?;
if args.benchmark {
eprintln!("Found tour with length: {}", total_dist);
}
if let Some(p) = args.symlink_dir {
copy_into(&tsp_path, &p, true)?
}
if let Some(p) = args.copy_dir {
copy_into(&tsp_path, &p, false)?
}
let path_delim = if args.stdout0 {
Some(0)
} else if args.stdout {
Some(b'\n')
} else {
None
};
path_delim.into_iter().try_for_each(|delim| {
let mut o = io::BufWriter::new(io::stdout().lock());
for p in &tsp_path {
o.write_all(p.as_os_str().to_str().unwrap().as_bytes())?;
o.write_all(&[delim])?;
}
o.flush()
})?;
Ok(())
}
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