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smrs.rs
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smrs.rs
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use std::fs::File;
use std::io;
use std::path::Path;
use std::rc::Rc;
use clap::{load_yaml, App};
use exitfailure::ExitFailure;
use failure::Error;
//use human_panic::setup_panic;
use lazy_init::Lazy;
use log::{info, LevelFilter};
use ocf::{get_output, CompressionFormat};
use serde::ser::SerializeStruct;
use serde::{Serialize, Serializer};
use sourmash::cmd::{
count_unique, draff_compare, draff_index, draff_search, draff_signature, prepare,
};
use sourmash::index::linear::LinearIndex;
use sourmash::index::sbt::scaffold;
use sourmash::index::search::{
search_minhashes, search_minhashes_containment, search_minhashes_find_best,
};
use sourmash::index::{Comparable, Dataset, Index, MHBT};
use sourmash::signature::{Signature, SigsTrait};
use sourmash::sketch::Sketch;
struct Query<T> {
data: T,
}
impl Query<Signature> {
fn ksize(&self) -> u64 {
// TODO: select the correct signature
self.data.signatures[0].ksize() as u64
}
fn moltype(&self) -> String {
// TODO: this might panic
match &self.data.signatures[0] {
Sketch::MinHash(mh) => {
if mh.is_protein() {
"protein".into()
} else {
"DNA".into()
}
}
Sketch::UKHS(_) => {
// TODO: draff only supports dna for now
"DNA".into()
}
}
}
fn name(&self) -> String {
self.data.name().clone()
}
}
impl From<Query<Signature>> for Dataset<Signature> {
fn from(other: Query<Signature>) -> Dataset<Signature> {
let data = Lazy::new();
data.get_or_create(|| other.data);
Dataset::builder()
.data(Rc::new(data))
.filename("")
.name("")
.metadata("")
.storage(None)
.build()
}
}
fn load_query_signature(
query: &str,
ksize: usize,
moltype: Option<&str>,
scaled: Option<u64>,
) -> Result<Query<Signature>, Error> {
let mut reader = io::BufReader::new(File::open(query)?);
let sigs = Signature::load_signatures(&mut reader, ksize, moltype, scaled)?;
//dbg!(&sigs);
// TODO: what if we have more than one left?
let data = sigs[0].clone();
Ok(Query { data })
}
struct Database {
data: Indices,
path: String,
}
enum Indices {
MHBT(MHBT),
LinearIndex(LinearIndex<Dataset<Signature>>),
}
impl Index for Database {
type Item = Dataset<Signature>;
fn find<F>(
&self,
search_fn: F,
sig: &Self::Item,
threshold: f64,
) -> Result<Vec<&Self::Item>, Error>
where
F: Fn(&dyn Comparable<Self::Item>, &Self::Item, f64) -> bool,
{
match &self.data {
Indices::MHBT(data) => data.find(search_fn, sig, threshold),
Indices::LinearIndex(data) => data.find(search_fn, sig, threshold),
}
}
fn insert(&mut self, node: &Self::Item) -> Result<(), Error> {
match &mut self.data {
Indices::MHBT(data) => data.insert(node),
Indices::LinearIndex(data) => data.insert(node),
}
}
fn save<P: AsRef<Path>>(&self, path: P) -> Result<(), Error> {
match &self.data {
Indices::MHBT(data) => data.save(path),
Indices::LinearIndex(data) => data.save(path),
}
}
fn load<P: AsRef<Path>>(_path: P) -> Result<(), Error> {
unimplemented!();
}
fn datasets(&self) -> Vec<Self::Item> {
match &self.data {
Indices::MHBT(data) => data.datasets(),
Indices::LinearIndex(data) => data.datasets(),
}
}
}
fn load_sbts_and_sigs(
filenames: &[&str],
query: &Query<Signature>,
_containment: bool,
traverse: bool,
) -> Result<Vec<Database>, Error> {
let mut dbs = Vec::default();
let _ksize = query.ksize();
let _moltype = query.moltype();
let n_signatures = 0;
let mut n_databases = 0;
for path in filenames {
if traverse && Path::new(path).is_dir() {
continue;
}
if let Ok(data) = MHBT::from_path(path) {
// TODO: check compatible
dbs.push(Database {
data: Indices::MHBT(data),
path: String::from(*path),
});
info!("loaded SBT {}", path);
n_databases += 1;
continue;
} else if let Ok(data) = LinearIndex::<Dataset<Signature>>::from_path(path) {
// TODO: check compatible
dbs.push(Database {
data: Indices::LinearIndex(data),
path: String::from(*path),
});
info!("loaded LinearIndex {}", path);
n_databases += 1;
continue;
}
// TODO: load sig, need to change Database
// IDEA: put sig into a LinearIndex, and replace Database with a Box<dyn Index>?
}
if n_signatures > 0 && n_databases > 0 {
info!(
"loaded {} signatures and {} databases total.",
n_signatures, n_databases
);
} else if n_signatures > 0 {
info!("loaded {} signatures.", n_signatures);
} else if n_databases > 0 {
info!("loaded {} databases.", n_databases);
} else {
return Err(failure::err_msg("Couldn't load any databases"));
}
Ok(dbs)
}
struct Results {
similarity: f64,
match_sig: Signature,
db: String,
}
impl Serialize for Results {
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
where
S: Serializer,
{
let mut partial = serializer.serialize_struct("Results", 4)?;
partial.serialize_field("similarity", &self.similarity)?;
partial.serialize_field("name", &self.match_sig.name())?;
partial.serialize_field("filename", &self.db)?;
partial.serialize_field("md5", &self.match_sig.md5sum())?;
partial.end()
}
}
fn search_databases(
query: Query<Signature>,
databases: &[Database],
threshold: f64,
containment: bool,
best_only: bool,
_ignore_abundance: bool,
) -> Result<Vec<Results>, Error> {
let mut results = Vec::default();
let search_fn = if best_only {
search_minhashes_find_best()
} else if containment {
search_minhashes_containment
} else {
search_minhashes
};
let query_leaf = query.into();
// TODO: set up scaled for DB and query
for db in databases {
let matches = db.find(search_fn, &query_leaf, threshold).unwrap();
for dataset in matches.into_iter() {
let similarity = query_leaf.similarity(dataset);
// should always be true, but... better safe than sorry.
if similarity >= threshold {
results.push(Results {
similarity,
match_sig: dataset.clone().into(),
db: db.path.clone(),
})
}
}
}
results.sort_by(|a, b| b.similarity.partial_cmp(&a.similarity).unwrap());
Ok(results)
}
fn main() -> Result<(), ExitFailure> {
//setup_panic!();
env_logger::Builder::from_env(env_logger::Env::default().default_filter_or("info")).init();
let yml = load_yaml!("sourmash.yml");
let m = App::from_yaml(yml).get_matches();
match m.subcommand_name() {
Some("draff") => {
let cmd = m.subcommand_matches("draff").unwrap();
let inputs = cmd
.values_of("inputs")
.map(|vals| vals.collect::<Vec<_>>())
.unwrap();
let ksize: usize = cmd.value_of("ksize").unwrap().parse().unwrap();
let wsize: usize = cmd.value_of("wsize").unwrap().parse().unwrap();
draff_signature(inputs, ksize, wsize)?;
}
Some("draff_search") => {
let cmd = m.subcommand_matches("draff_search").unwrap();
let index: &str = cmd.value_of("index").unwrap();
let query: &str = cmd.value_of("query").unwrap();
draff_search(index, query)?;
}
Some("draff_compare") => {
let cmd = m.subcommand_matches("draff_compare").unwrap();
let inputs = cmd
.values_of("inputs")
.map(|vals| vals.collect::<Vec<_>>())
.unwrap();
draff_compare(inputs)?;
}
Some("prepare") => {
let cmd = m.subcommand_matches("prepare").unwrap();
let index: &str = cmd.value_of("index").unwrap();
prepare(index)?;
}
Some("index") => {
let cmd = m.subcommand_matches("index").unwrap();
let inputs = cmd
.values_of("inputs")
.map(|vals| vals.collect::<Vec<_>>())
.unwrap();
let output: &str = cmd.value_of("output").unwrap();
draff_index(inputs, output)?;
}
Some("scaffold") => {
let cmd = m.subcommand_matches("scaffold").unwrap();
let sbt_file = cmd.value_of("current_sbt").unwrap();
let sbt = MHBT::from_path(sbt_file)?;
let mut new_sbt: MHBT = scaffold(sbt.datasets(), sbt.storage());
new_sbt.save_file("test", None)?;
assert_eq!(new_sbt.datasets().len(), sbt.datasets().len());
}
Some("count_unique") => {
let cmd = m.subcommand_matches("count_unique").unwrap();
let index: &str = cmd.value_of("index").unwrap();
count_unique(index)?;
}
Some("search") => {
let cmd = m.subcommand_matches("search").unwrap();
if cmd.is_present("quiet") {
log::set_max_level(LevelFilter::Warn);
}
let query = load_query_signature(
cmd.value_of("query").unwrap(),
if cmd.is_present("ksize") {
cmd.value_of("ksize").unwrap().parse().unwrap()
} else {
// TODO default k
unimplemented!()
},
Some("dna"), // TODO: select moltype,
if cmd.is_present("scaled") {
Some(cmd.value_of("scaled").unwrap().parse().unwrap())
} else {
None
},
)?;
info!(
"loaded query: {}... (k={}, {})",
query.name(),
query.ksize(),
query.moltype()
);
// TODO: check args.scaled and downsample
let containment = cmd.is_present("containment");
let traverse_directory = cmd.is_present("traverse-directory");
let databases = load_sbts_and_sigs(
&cmd.values_of("databases")
.map(|vals| vals.collect::<Vec<_>>())
.unwrap(),
&query,
containment,
traverse_directory,
)?;
if databases.is_empty() {
return Err(failure::err_msg("Nothing found to search!").into());
}
let best_only = cmd.is_present("best-only");
let threshold = cmd.value_of("threshold").unwrap().parse().unwrap();
let ignore_abundance = cmd.is_present("ignore-abundance");
let results = search_databases(
query,
&databases,
threshold,
containment,
best_only,
ignore_abundance,
)?;
let num_results = if best_only {
1
} else {
cmd.value_of("num-results").unwrap().parse().unwrap()
};
let n_matches = if num_results == 0 || results.len() <= num_results {
println!("{} matches:", results.len());
results.len()
} else {
println!("{} matches; showing first {}:", results.len(), num_results);
num_results
};
println!("similarity match");
println!("---------- -----");
for sr in &results[..n_matches] {
println!(
"{:>5.1}% {:60}",
sr.similarity * 100.,
sr.match_sig.name()
);
}
if best_only {
info!("** reporting only one match because --best-only was set")
}
if let Some(output) = cmd.value_of("output") {
let mut wrt = csv::Writer::from_path(output)?;
for sr in &results[..n_matches] {
wrt.serialize(sr)?;
}
wrt.flush()?;
};
if let Some(outname) = cmd.value_of("save-matches") {
let writer = get_output(outname, CompressionFormat::No)?;
info!("saving all matched signatures to \"{}\"", outname);
let sigs: Vec<Signature> = results.into_iter().map(|sr| sr.match_sig).collect();
serde_json::to_writer(writer, &sigs)?;
}
}
_ => {
println!("{:?}", m);
}
}
Ok(())
}