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use serde_json::json;
pub use crate::api::{API, IndexResults, IndexResultsBatch};
/// Similarity definition
pub struct Similarity {
api: API
}
/// Similarity implementation
impl Similarity {
/// Creates a Similarity instance.
///
pub fn new() -> Similarity {
Similarity {
api: API::new()
}
}
/// Creates a Similarity instance.
///
/// # Arguments
/// * `url` - API url
pub fn with_url(url: &str) -> Similarity {
Similarity {
api: API::with_url(url)
}
}
/// Creates a Similarity instance.
///
/// # Arguments
/// * `url` - API url
/// * `token` - API token
pub fn with_url_token(url: &str, token: &str) -> Similarity {
Similarity {
api: API::with_url_token(url, token)
}
}
/// Computes the similarity between query and list of text. Returns a list of
/// {id: value, score: value} sorted by highest score, where id is the index
/// in texts.
///
/// # Arguments
/// * `query` - query text
/// * `texts` - list of text
pub async fn similarity(&self, query: &str, texts: &Vec<&str>) -> IndexResults {
// Post parameters
let params = json!({"query": query, "texts": texts});
// Execute API call
Ok(self.api.post("similarity", ¶ms).await?.json().await?)
}
/// Computes the similarity between list of queries and list of text. Returns a list
/// of {id: value, score: value} sorted by highest score per query, where id is the
/// index in texts.
///
/// # Arguments
/// * `queries` - queries text
/// * `texts` - list of text
pub async fn batchsimilarity(&self, queries: &Vec<&str>, texts: &Vec<&str>) -> IndexResultsBatch {
// Post parameters
let params = json!({"queries": queries, "texts": texts});
// Execute API call
Ok(self.api.post("batchsimilarity", ¶ms).await?.json().await?)
}
}