lancedb/nodejs/src/query.rs

// Copyright 2024 Lance Developers.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

use lancedb::index::scalar::FullTextSearchQuery;
use lancedb::query::ExecutableQuery;
use lancedb::query::Query as LanceDbQuery;
use lancedb::query::QueryBase;
use lancedb::query::QueryExecutionOptions;
use lancedb::query::Select;
use lancedb::query::VectorQuery as LanceDbVectorQuery;
use napi::bindgen_prelude::*;
use napi_derive::napi;

use crate::error::NapiErrorExt;
use crate::iterator::RecordBatchIterator;
use crate::util::parse_distance_type;

#[napi]
pub struct Query {
    inner: LanceDbQuery,
}

#[napi]
impl Query {
    pub fn new(query: LanceDbQuery) -> Self {
        Self { inner: query }
    }

    // We cannot call this r#where because NAPI gets confused by the r#
    #[napi]
    pub fn only_if(&mut self, predicate: String) {
        self.inner = self.inner.clone().only_if(predicate);
    }

    #[napi]
    pub fn full_text_search(&mut self, query: String, columns: Option<Vec<String>>) {
        let query = FullTextSearchQuery::new(query).columns(columns);
        self.inner = self.inner.clone().full_text_search(query);
    }

    #[napi]
    pub fn select(&mut self, columns: Vec<(String, String)>) {
        self.inner = self.inner.clone().select(Select::dynamic(&columns));
    }

    #[napi]
    pub fn select_columns(&mut self, columns: Vec<String>) {
        self.inner = self.inner.clone().select(Select::columns(&columns));
    }

    #[napi]
    pub fn limit(&mut self, limit: u32) {
        self.inner = self.inner.clone().limit(limit as usize);
    }

    #[napi]
    pub fn nearest_to(&mut self, vector: Float32Array) -> Result<VectorQuery> {
        let inner = self
            .inner
            .clone()
            .nearest_to(vector.as_ref())
            .default_error()?;
        Ok(VectorQuery { inner })
    }

    #[napi(catch_unwind)]
    pub async fn execute(
        &self,
        max_batch_length: Option<u32>,
    ) -> napi::Result<RecordBatchIterator> {
        let mut execution_opts = QueryExecutionOptions::default();
        if let Some(max_batch_length) = max_batch_length {
            execution_opts.max_batch_length = max_batch_length;
        }
        let inner_stream = self
            .inner
            .execute_with_options(execution_opts)
            .await
            .map_err(|e| {
                napi::Error::from_reason(format!("Failed to execute query stream: {}", e))
            })?;
        Ok(RecordBatchIterator::new(inner_stream))
    }

    #[napi]
    pub async fn explain_plan(&self, verbose: bool) -> napi::Result<String> {
        self.inner.explain_plan(verbose).await.map_err(|e| {
            napi::Error::from_reason(format!("Failed to retrieve the query plan: {}", e))
        })
    }
}

#[napi]
pub struct VectorQuery {
    inner: LanceDbVectorQuery,
}

#[napi]
impl VectorQuery {
    #[napi]
    pub fn column(&mut self, column: String) {
        self.inner = self.inner.clone().column(&column);
    }

    #[napi]
    pub fn distance_type(&mut self, distance_type: String) -> napi::Result<()> {
        let distance_type = parse_distance_type(distance_type)?;
        self.inner = self.inner.clone().distance_type(distance_type);
        Ok(())
    }

    #[napi]
    pub fn postfilter(&mut self) {
        self.inner = self.inner.clone().postfilter();
    }

    #[napi]
    pub fn refine_factor(&mut self, refine_factor: u32) {
        self.inner = self.inner.clone().refine_factor(refine_factor);
    }

    #[napi]
    pub fn nprobes(&mut self, nprobe: u32) {
        self.inner = self.inner.clone().nprobes(nprobe as usize);
    }

    #[napi]
    pub fn bypass_vector_index(&mut self) {
        self.inner = self.inner.clone().bypass_vector_index()
    }

    #[napi]
    pub fn only_if(&mut self, predicate: String) {
        self.inner = self.inner.clone().only_if(predicate);
    }

    #[napi]
    pub fn full_text_search(&mut self, query: String, columns: Option<Vec<String>>) {
        let query = FullTextSearchQuery::new(query).columns(columns);
        self.inner = self.inner.clone().full_text_search(query);
    }

    #[napi]
    pub fn select(&mut self, columns: Vec<(String, String)>) {
        self.inner = self.inner.clone().select(Select::dynamic(&columns));
    }

    #[napi]
    pub fn select_columns(&mut self, columns: Vec<String>) {
        self.inner = self.inner.clone().select(Select::columns(&columns));
    }

    #[napi]
    pub fn limit(&mut self, limit: u32) {
        self.inner = self.inner.clone().limit(limit as usize);
    }

    #[napi(catch_unwind)]
    pub async fn execute(
        &self,
        max_batch_length: Option<u32>,
    ) -> napi::Result<RecordBatchIterator> {
        let mut execution_opts = QueryExecutionOptions::default();
        if let Some(max_batch_length) = max_batch_length {
            execution_opts.max_batch_length = max_batch_length;
        }
        let inner_stream = self
            .inner
            .execute_with_options(execution_opts)
            .await
            .map_err(|e| {
                napi::Error::from_reason(format!("Failed to execute query stream: {}", e))
            })?;
        Ok(RecordBatchIterator::new(inner_stream))
    }

    #[napi]
    pub async fn explain_plan(&self, verbose: bool) -> napi::Result<String> {
        self.inner.explain_plan(verbose).await.map_err(|e| {
            napi::Error::from_reason(format!("Failed to retrieve the query plan: {}", e))
        })
    }
}