mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-06-20 19:32:59 +02:00
186 lines
6.0 KiB
Rust
186 lines
6.0 KiB
Rust
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use rayon::iter::{IntoParallelIterator as _, ParallelIterator as _};
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use super::openai::Retry;
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use super::{DistributionShift, EmbedError, Embeddings, NewEmbedderError};
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use crate::VectorOrArrayOfVectors;
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pub struct Embedder {
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client: ureq::Agent,
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options: EmbedderOptions,
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bearer: Option<String>,
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dimensions: usize,
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}
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pub struct EmbedderOptions {
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api_key: Option<String>,
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distribution: Option<DistributionShift>,
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dimensions: Option<usize>,
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url: String,
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query: liquid::Template,
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response_field: Vec<String>,
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}
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impl Embedder {
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pub fn new(options: EmbedderOptions) -> Result<Self, NewEmbedderError> {
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let bearer = options.api_key.as_deref().map(|api_key| format!("Bearer: {api_key}"));
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let client = ureq::agent();
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let dimensions = if let Some(dimensions) = options.dimensions {
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dimensions
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} else {
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infer_dimensions(&client, &options, bearer.as_deref())?
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};
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Ok(Self { client, dimensions, options, bearer })
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}
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pub fn embed(&self, texts: Vec<String>) -> Result<Vec<Embeddings<f32>>, EmbedError> {
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embed(&self.client, &self.options, self.bearer.as_deref(), texts.as_slice())
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}
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pub fn embed_chunks(
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&self,
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text_chunks: Vec<Vec<String>>,
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threads: &rayon::ThreadPool,
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) -> Result<Vec<Vec<Embeddings<f32>>>, EmbedError> {
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threads
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.install(move || text_chunks.into_par_iter().map(|chunk| self.embed(chunk)))
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.collect()
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}
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pub fn chunk_count_hint(&self) -> usize {
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10
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}
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pub fn prompt_count_in_chunk_hint(&self) -> usize {
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10
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}
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pub fn dimensions(&self) -> usize {
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self.dimensions
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}
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pub fn distribution(&self) -> Option<DistributionShift> {
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self.options.distribution
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}
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}
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fn infer_dimensions(
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client: &ureq::Agent,
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options: &EmbedderOptions,
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bearer: Option<&str>,
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) -> Result<usize, NewEmbedderError> {
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let v = embed(client, options, bearer, ["test"].as_slice())
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.map_err(NewEmbedderError::could_not_determine_dimension)?;
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// unwrap: guaranteed that v.len() == ["test"].len() == 1, otherwise the previous line terminated in error
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Ok(v.first().unwrap().dimension())
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}
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fn embed<S>(
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client: &ureq::Agent,
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options: &EmbedderOptions,
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bearer: Option<&str>,
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inputs: &[S],
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) -> Result<Vec<Embeddings<f32>>, EmbedError>
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where
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S: serde::Serialize,
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{
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let request = client.post(&options.url);
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let request =
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if let Some(bearer) = bearer { request.set("Authorization", bearer) } else { request };
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let request = request.set("Content-Type", "application/json");
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let body = options
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.query
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.render(
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&liquid::to_object(&serde_json::json!({
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"input": inputs,
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}))
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.map_err(EmbedError::rest_template_context_serialization)?,
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)
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.map_err(EmbedError::rest_template_render)?;
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for attempt in 0..7 {
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let response = request.send_string(&body);
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let result = check_response(response);
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let retry_duration = match result {
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Ok(response) => {
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return response_to_embedding(response, &options.response_field, inputs.len())
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}
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Err(retry) => {
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tracing::warn!("Failed: {}", retry.error);
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retry.into_duration(attempt)
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}
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}?;
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let retry_duration = retry_duration.min(std::time::Duration::from_secs(60)); // don't wait more than a minute
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tracing::warn!("Attempt #{}, retrying after {}ms.", attempt, retry_duration.as_millis());
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std::thread::sleep(retry_duration);
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}
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let response = request.send_string(&body);
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let result = check_response(response);
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result
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.map_err(Retry::into_error)
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.and_then(|response| response_to_embedding(response, &options.response_field, inputs.len()))
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}
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fn check_response(response: Result<ureq::Response, ureq::Error>) -> Result<ureq::Response, Retry> {
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match response {
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Ok(response) => Ok(response),
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Err(ureq::Error::Status(code, response)) => {
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let error_response: Option<String> = response.into_string().ok();
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Err(match code {
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401 => Retry::give_up(EmbedError::rest_unauthorized(error_response)),
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429 => Retry::rate_limited(EmbedError::rest_too_many_requests(error_response)),
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400 => Retry::give_up(EmbedError::rest_bad_request(error_response)),
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500..=599 => {
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Retry::retry_later(EmbedError::rest_internal_server_error(code, error_response))
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}
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x => Retry::retry_later(EmbedError::rest_other_status_code(code, error_response)),
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})
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}
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Err(ureq::Error::Transport(transport)) => {
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Err(Retry::retry_later(EmbedError::rest_network(transport)))
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}
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}
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}
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fn response_to_embedding<S: AsRef<str>>(
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response: ureq::Response,
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response_field: &[S],
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expected_count: usize,
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) -> Result<Vec<Embeddings<f32>>, EmbedError> {
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let response: serde_json::Value =
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response.into_json().map_err(EmbedError::rest_response_deserialization)?;
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let mut current_value = &response;
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for component in response_field {
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let component = component.as_ref();
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let current_value = current_value.get(component).ok_or_else(|| {
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EmbedError::rest_response_missing_embeddings(response, component, response_field)
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})?;
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}
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let embeddings = current_value.to_owned();
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let embeddings: VectorOrArrayOfVectors =
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serde_json::from_value(embeddings).map_err(EmbedError::rest_response_format)?;
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let embeddings = embeddings.into_array_of_vectors();
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let embeddings: Vec<Embeddings<f32>> = embeddings
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.into_iter()
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.flatten()
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.map(|embedding| Embeddings::from_single_embedding(embedding))
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.collect();
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if embeddings.len() != expected_count {
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return Err(EmbedError::rest_response_embedding_count(expected_count, embeddings.len()));
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}
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Ok(embeddings)
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}
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