MeiliSearch/src/index/csv.rs

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Rust
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use std::collections::BTreeMap;
use std::path::PathBuf;
use std::fs::File;
use std::io;
use rocksdb::{SstFileWriter, EnvOptions, ColumnFamilyOptions};
use raptor::{MetadataBuilder, DocIndex, Tokenizer};
use unidecode::unidecode;
use csv::ReaderBuilder;
use crate::common_words::{self, CommonWords};
use crate::index::csv_feature::CommandCsv;
#[derive(Debug, Deserialize)]
struct Product {
#[serde(rename = "_unit_id")]
id: u64,
#[serde(rename = "product_title")]
title: String,
#[serde(rename = "product_image")]
image: String,
#[serde(rename = "product_description")]
description: String,
}
#[derive(Debug)]
pub struct CsvIndexer {
common_words: CommonWords,
products: PathBuf,
}
impl CsvIndexer {
pub fn from_command(command: CommandCsv) -> io::Result<CsvIndexer> {
let common_words = common_words::from_file(command.stop_words)?;
let products = command.products;
Ok(CsvIndexer { common_words, products })
}
pub fn index(self) {
let random_name = moby_name_gen::random_name();
let map_file = format!("{}.map", random_name);
let idx_file = format!("{}.idx", random_name);
let sst_file = format!("{}.sst", random_name);
let env_options = EnvOptions::new();
let cf_options = ColumnFamilyOptions::new();
let mut sst_file_writer = SstFileWriter::new(env_options, cf_options);
sst_file_writer.open(&sst_file).expect("open the sst file");
let map = File::create(&map_file).unwrap();
let indexes = File::create(&idx_file).unwrap();
let mut builder = MetadataBuilder::new(map, indexes);
let mut fields = BTreeMap::new();
let mut rdr = ReaderBuilder::new().from_path(&self.products).expect("reading product file");
let mut errors = 0;
for result in rdr.deserialize() {
let product: Product = match result {
Ok(product) => product,
Err(e) => { eprintln!("{:?}", e); errors += 1; continue },
};
let title = Tokenizer::new(&product.title);
let title = title.iter().filter(|&(_, w)| !self.common_words.contains(w));
insert_document_words(&mut builder, product.id, 0, title);
let description = Tokenizer::new(&product.description);
let description = description.iter().filter(|&(_, w)| !self.common_words.contains(w));
insert_document_words(&mut builder, product.id, 1, description);
// TODO simplify this by using functions and
// use the MetadataBuilder internal BTreeMap ?
let key = format!("{}-title", product.id);
let value = product.title;
fields.insert(key, value);
let key = format!("{}-description", product.id);
let value = product.description;
fields.insert(key, value);
let key = format!("{}-image", product.id);
let value = product.image;
fields.insert(key, value);
}
for (key, value) in fields {
sst_file_writer.put(key.as_bytes(), value.as_bytes()).unwrap();
}
let _sst_file_info = sst_file_writer.finish().unwrap();
builder.finish().unwrap();
println!("Found {} errorneous lines", errors);
println!("Succesfully created {:?} dump.", random_name);
}
}
fn insert_document_words<'a, I, A, B>(builder: &mut MetadataBuilder<A, B>, doc_index: u64, attr: u8, words: I)
where A: io::Write,
B: io::Write,
I: IntoIterator<Item=(usize, &'a str)>,
{
for (index, word) in words {
let doc_index = DocIndex {
document: doc_index,
attribute: attr,
attribute_index: index as u32,
};
// insert the exact representation
let word_lower = word.to_lowercase();
// and the unidecoded lowercased version
let word_unidecoded = unidecode(word).to_lowercase();
if word_lower != word_unidecoded {
builder.insert(word_unidecoded, doc_index);
}
builder.insert(word_lower, doc_index);
}
}