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use std::collections::{HashSet, HashMap};
use std::fs::File;
use std::io::{Write, BufReader, BufRead};
use walkdir::*;
use std::thread;
use std::option::Option::None;
use crate::vector::FileVector;
use crate::dictionary::Dictionary;
use crate::filecache::FileCache;
use crate::searchresult::SearchResult;
use crate::filecounter::filecount;
use crate::text;
use crate::splitter;
use crate::vector;
/// Represents a Index which is ether generated
/// or read from a file.
#[derive(Clone, Debug)]
pub struct Index {
dictionary : Dictionary,
filecache : Vec<FileCache>,
}
impl Default for Index {
fn default() -> Self {
Self::empty()
}
}
impl Index {
pub fn empty() -> Self {
Self {
dictionary : Dictionary::new(),
filecache : Vec::new()
}
}
pub fn generate(input_path : &str, callback : impl Fn(u64, u64)) -> Self {
let mut dict = Dictionary::new();
let mut filecache : Vec<FileCache> = Vec::new();
let mut nof = 0;
let mut counter = 0;
thread::scope(|s| {
let mut nof_handle : Option<_> = Some(s.spawn(|| filecount(input_path)));
for entry in WalkDir::new(input_path)
.into_iter()
.filter_map(|e| e.ok()) {
counter += 1;
if entry.path().is_file() {
let content : String = text::extract_text(entry.path().to_str().unwrap());
if content.is_empty() {
continue
}
let words : Vec<String> = splitter::split_to_words(content);
for word in words.iter() {
dict.set(word.clone());
}
let fv = dict.vectorize_word_list(words.clone());
filecache.push(FileCache {
path : entry.path().to_str().unwrap().to_string(),
vector : fv
});
}
match nof_handle {
Some(t) => {
nof = t.join().unwrap();
nof_handle = None;
}
None => {
callback(counter, nof);
}
}
}
callback(nof, nof);
});
Self {
dictionary : dict,
filecache
}
}
pub fn from_file(path : String) -> Self {
let index_file = File::open(path).expect("could not open index file");
let reader = BufReader::new(index_file);
let mut filecache : Vec<FileCache> = Vec::new();
let mut dict = Dictionary::new();
for line in reader.lines() {
let l = line.unwrap();
if l.starts_with('#') {
dict = Dictionary::from_line(l.strip_prefix('#').unwrap());
} else {
filecache.push(FileCache::from_line(l));
}
}
Self {
dictionary : dict,
filecache
}
}
pub fn merge(a : Index, b : Index) -> Self {
let mut a_hash : HashSet<FileCache> = HashSet::new();
let mut diff : Vec<FileCache> = Vec::new();
let mut dict = a.dictionary.clone();
let mut filecache = a.filecache.clone();
for file in a.filecache.iter() {
a_hash.insert(file.clone());
}
for file in b.filecache.iter() {
if !a_hash.contains(file) {
diff.push(file.clone());
}
}
for (word, _) in b.dictionary.iter() {
dict.set(word.clone());
}
let mut b_id_to_word : HashMap<u64, String> = HashMap::new();
for (value, id) in b.dictionary.iter() {
b_id_to_word.insert(*id, value.clone());
}
for file in diff {
let mut words = Vec::new();
for (word_id, i) in file.vector.iter() {
for _ in 0..*i {
words.push(b_id_to_word.get(word_id).unwrap().clone());
}
}
filecache.push(FileCache {
path : file.path.clone(),
vector: dict.vectorize_word_list(words)
});
}
Self {
dictionary: dict,
filecache
}
}
pub fn search(&self, search_args : Vec<String>) -> Vec<SearchResult> {
let mut v : FileVector = FileVector::new();
for arg in search_args {
if let Some(value) = self.dictionary.get(arg.to_string()) {
v.insert(*value, 1);
}
}
let mut results : Vec<SearchResult> = Vec::new();
for filecache in self.filecache.iter() {
let mut r = SearchResult { priority : 0, path : filecache.path.clone() };
r.priority = vector::scalar_product(&v, &filecache.vector);
if r.priority > 0 {
results.push(r);
}
}
results.sort_by(|a, b| b.priority.cmp(&a.priority));
results
}
pub fn save(&self, output : String) {
let mut index_file = File::create(output).unwrap();
for file in self.filecache.iter() {
writeln!(
index_file,
"{}, {}",
file.path .replace(',', "\0"),
file.vector.stringify()
).ok();
}
let dict_list : Vec<String> = self.dictionary.to_list();
writeln!(index_file, "#{}", dict_list.join(",")).ok();
}
}
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