elasticlunr/lib.rs
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//!# elasticlunr-rs
//!
//! [![Build Status](https://travis-ci.org/mattico/elasticlunr-rs.svg?branch=master)](https://travis-ci.org/mattico/elasticlunr-rs)
//! [![Documentation](https://docs.rs/elasticlunr-rs/badge.svg)](https://docs.rs/elasticlunr-rs)
//! [![Crates.io](https://img.shields.io/crates/v/elasticlunr-rs.svg)](https://crates.io/crates/elasticlunr-rs)
//!
//! A partial port of [elasticlunr](https://github.com/weixsong/elasticlunr.js) to Rust. Intended to
//! be used for generating compatible search indices.
//!
//! Access to all index-generating functionality is provided. Most users will only need to use the
//! [`Index`](struct.Index.html) or [`IndexBuilder`](struct.IndexBuilder.html) types.
//!
//! The [`Language`] trait can be used to implement a custom language.
//!
//! ## Example
//!
//! ```
//! use std::fs::File;
//! use std::io::Write;
//! use elasticlunr::Index;
//!
//! let mut index = Index::new(&["title", "body"]);
//! index.add_doc("1", &["This is a title", "This is body text!"]);
//! // Add more docs...
//! let mut file = File::create("out.json").unwrap();
//! file.write_all(index.to_json_pretty().as_bytes());
//! ```
#[macro_use]
extern crate serde_derive;
#[cfg(test)]
#[macro_use]
extern crate maplit;
/// The version of elasticlunr.js this library was designed for.
pub const ELASTICLUNR_VERSION: &str = "0.9.5";
pub mod config;
pub mod document_store;
pub mod inverted_index;
pub mod lang;
pub mod pipeline;
use std::collections::BTreeMap;
use document_store::DocumentStore;
use inverted_index::InvertedIndex;
use lang::English;
pub use lang::Language;
pub use pipeline::Pipeline;
type Tokenizer = Option<Box<dyn Fn(&str) -> Vec<String>>>;
/// A builder for an `Index` with custom parameters.
///
/// # Example
/// ```
/// # use elasticlunr::{Index, IndexBuilder};
/// let mut index = IndexBuilder::new()
/// .save_docs(false)
/// .add_fields(&["title", "subtitle", "body"])
/// .set_ref("doc_id")
/// .build();
/// index.add_doc("doc_a", &["Chapter 1", "Welcome to Copenhagen", "..."]);
/// ```
pub struct IndexBuilder {
save: bool,
fields: Vec<String>,
field_tokenizers: Vec<Tokenizer>,
ref_field: String,
pipeline: Option<Pipeline>,
language: Box<dyn Language>,
}
impl Default for IndexBuilder {
fn default() -> Self {
IndexBuilder {
save: true,
fields: Vec::new(),
field_tokenizers: Vec::new(),
ref_field: "id".into(),
pipeline: None,
language: Box::new(English::new()),
}
}
}
impl IndexBuilder {
pub fn new() -> Self {
Default::default()
}
pub fn with_language(language: Box<dyn Language>) -> Self {
Self {
language,
..Default::default()
}
}
/// Set whether or not documents should be saved in the `Index`'s document store.
pub fn save_docs(mut self, save: bool) -> Self {
self.save = save;
self
}
/// Add a document field to the `Index`.
///
/// # Panics
///
/// Panics if a field with the name already exists.
pub fn add_field(mut self, field: &str) -> Self {
let field = field.into();
if self.fields.contains(&field) {
panic!("Duplicate fields in index: {}", field);
}
self.fields.push(field);
self.field_tokenizers.push(None);
self
}
/// Add a document field to the `Index`, with a custom tokenizer for that field.
///
/// # Panics
///
/// Panics if a field with the name already exists.
pub fn add_field_with_tokenizer(
mut self,
field: &str,
tokenizer: Box<dyn Fn(&str) -> Vec<String>>,
) -> Self {
let field = field.into();
if self.fields.contains(&field) {
panic!("Duplicate fields in index: {}", field);
}
self.fields.push(field);
self.field_tokenizers.push(Some(tokenizer));
self
}
/// Add the document fields to the `Index`.
///
/// # Panics
///
/// Panics if two fields have the same name.
pub fn add_fields<I>(mut self, fields: I) -> Self
where
I: IntoIterator,
I::Item: AsRef<str>,
{
for field in fields {
self = self.add_field(field.as_ref())
}
self
}
/// Set the key used to store the document reference field.
pub fn set_ref(mut self, ref_field: &str) -> Self {
self.ref_field = ref_field.into();
self
}
/// Build an `Index` from this builder.
pub fn build(self) -> Index {
let IndexBuilder {
save,
fields,
field_tokenizers,
ref_field,
pipeline,
language,
} = self;
let index = fields
.iter()
.map(|f| (f.clone(), InvertedIndex::new()))
.collect();
let pipeline = pipeline.unwrap_or_else(|| language.make_pipeline());
Index {
index,
fields,
field_tokenizers,
ref_field,
document_store: DocumentStore::new(save),
pipeline,
version: crate::ELASTICLUNR_VERSION,
lang: language,
}
}
}
/// An elasticlunr search index.
#[derive(Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct Index {
fields: Vec<String>,
#[serde(skip)]
field_tokenizers: Vec<Tokenizer>,
pipeline: Pipeline,
#[serde(rename = "ref")]
ref_field: String,
version: &'static str,
index: BTreeMap<String, InvertedIndex>,
document_store: DocumentStore,
#[serde(with = "ser_lang")]
lang: Box<dyn Language>,
}
mod ser_lang {
use crate::Language;
use serde::de;
use serde::{Deserializer, Serializer};
use std::fmt;
pub fn serialize<S>(lang: &Box<dyn Language>, serializer: S) -> Result<S::Ok, S::Error>
where
S: Serializer,
{
serializer.serialize_str(&lang.name())
}
pub fn deserialize<'de, D>(deserializer: D) -> Result<Box<dyn Language>, D::Error>
where
D: Deserializer<'de>,
{
deserializer.deserialize_str(LanguageVisitor)
}
struct LanguageVisitor;
impl<'de> de::Visitor<'de> for LanguageVisitor {
type Value = Box<dyn Language>;
fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {
formatter.write_str("a capitalized language name")
}
fn visit_borrowed_str<E>(self, v: &'de str) -> Result<Self::Value, E>
where
E: de::Error,
{
match crate::lang::from_name(v) {
Some(l) => Ok(l),
None => Err(E::custom(format!("Unknown language name: {}", v))),
}
}
}
}
impl Index {
/// Create a new index with the provided fields.
///
/// # Example
///
/// ```
/// # use elasticlunr::{Index};
/// let mut index = Index::new(&["title", "body"]);
/// index.add_doc("1", &["this is a title", "this is body text"]);
/// ```
///
/// # Panics
///
/// Panics if a field with the name already exists.
pub fn new<I>(fields: I) -> Self
where
I: IntoIterator,
I::Item: AsRef<str>,
{
IndexBuilder::new().add_fields(fields).build()
}
/// Create a new index with the provided fields for the given
/// [`Language`](lang/enum.Language.html).
///
/// # Example
///
/// ```
/// use elasticlunr::{Index, lang::English};
/// let mut index = Index::with_language(Box::new(English::new()), &["title", "body"]);
/// index.add_doc("1", &["this is a title", "this is body text"]);
/// ```
///
/// # Panics
///
/// Panics if a field with the name already exists.
pub fn with_language<I>(lang: Box<dyn Language>, fields: I) -> Self
where
I: IntoIterator,
I::Item: AsRef<str>,
{
IndexBuilder::with_language(lang).add_fields(fields).build()
}
/// Add the data from a document to the index.
///
/// *NOTE: The elements of `data` should be provided in the same order as
/// the fields used to create the index.*
///
/// # Example
/// ```
/// # use elasticlunr::Index;
/// let mut index = Index::new(&["title", "body"]);
/// index.add_doc("1", &["this is a title", "this is body text"]);
/// ```
pub fn add_doc<I>(&mut self, doc_ref: &str, data: I)
where
I: IntoIterator,
I::Item: AsRef<str>,
{
let mut doc = BTreeMap::new();
doc.insert(self.ref_field.clone(), doc_ref.into());
let mut token_freq = BTreeMap::new();
for (i, value) in data.into_iter().enumerate() {
let field = &self.fields[i];
let tokenizer = self.field_tokenizers[i].as_ref();
doc.insert(field.clone(), value.as_ref().to_string());
if field == &self.ref_field {
continue;
}
let raw_tokens = if let Some(tokenizer) = tokenizer {
tokenizer(value.as_ref())
} else {
self.lang.tokenize(value.as_ref())
};
let tokens = self.pipeline.run(raw_tokens);
self.document_store
.add_field_length(doc_ref, field, tokens.len());
for token in tokens {
*token_freq.entry(token).or_insert(0u64) += 1;
}
for (token, count) in &token_freq {
let freq = (*count as f64).sqrt();
self.index
.get_mut(field)
.unwrap_or_else(|| panic!("InvertedIndex does not exist for field {}", field))
.add_token(doc_ref, token, freq);
}
}
self.document_store.add_doc(doc_ref, doc);
}
pub fn get_fields(&self) -> &[String] {
&self.fields
}
/// Returns the index, serialized to pretty-printed JSON.
pub fn to_json_pretty(&self) -> String {
serde_json::to_string_pretty(&self).unwrap()
}
/// Returns the index, serialized to JSON.
pub fn to_json(&self) -> String {
serde_json::to_string(&self).unwrap()
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn add_field_to_builder() {
let idx = IndexBuilder::new()
.add_fields(&["foo", "bar", "baz"])
.build();
let idx_fields = idx.get_fields();
for f in &["foo", "bar", "baz"] {
assert_eq!(idx_fields.iter().filter(|x| x == f).count(), 1);
}
}
#[test]
fn adding_document_to_index() {
let mut idx = Index::new(&["body"]);
idx.add_doc("1", &["this is a test"]);
assert_eq!(idx.document_store.len(), 1);
assert_eq!(
idx.document_store.get_doc("1").unwrap(),
btreemap! {
"id".into() => "1".into(),
"body".into() => "this is a test".into(),
}
);
}
#[test]
fn adding_document_with_empty_field() {
let mut idx = Index::new(&["title", "body"]);
idx.add_doc("1", &["", "test"]);
assert_eq!(idx.index["body"].get_doc_frequency("test"), 1);
assert_eq!(idx.index["body"].get_docs("test").unwrap()["1"], 1.);
}
#[test]
#[should_panic]
fn creating_index_with_identical_fields_panics() {
let _idx = Index::new(&["title", "body", "title"]);
}
}