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https://github.com/meilisearch/MeiliSearch
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Retry in case where the JSON deserialization fails
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@ -60,7 +60,7 @@ pub enum EmbedErrorKind {
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ManualEmbed(String),
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#[error("model not found. Meilisearch will not automatically download models from the Ollama library, please pull the model manually{}", option_info(.0.as_deref(), "server replied with "))]
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OllamaModelNotFoundError(Option<String>),
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#[error("error deserialization the response body as JSON:\n - {0}")]
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#[error("error deserializing the response body as JSON:\n - {0}")]
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RestResponseDeserialization(std::io::Error),
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#[error("expected a response containing {0} embeddings, got only {1}")]
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RestResponseEmbeddingCount(usize, usize),
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@ -257,12 +257,12 @@ where
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for attempt in 0..10 {
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let response = request.clone().send_json(&body);
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let result = check_response(response, data.configuration_source);
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let result = check_response(response, data.configuration_source).and_then(|response| {
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response_to_embedding(response, data, expected_count, expected_dimension)
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});
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let retry_duration = match result {
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Ok(response) => {
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return response_to_embedding(response, data, expected_count, expected_dimension)
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}
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Ok(response) => return Ok(response),
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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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@ -283,6 +283,7 @@ where
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let result = check_response(response, data.configuration_source);
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result.map_err(Retry::into_error).and_then(|response| {
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response_to_embedding(response, data, expected_count, expected_dimension)
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.map_err(Retry::into_error)
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})
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}
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@ -324,20 +325,28 @@ fn response_to_embedding(
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data: &EmbedderData,
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expected_count: usize,
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expected_dimensions: Option<usize>,
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) -> Result<Vec<Embedding>, 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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) -> Result<Vec<Embedding>, Retry> {
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let response: serde_json::Value = response
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.into_json()
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.map_err(EmbedError::rest_response_deserialization)
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.map_err(Retry::retry_later)?;
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let embeddings = data.response.extract_embeddings(response)?;
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let embeddings = data.response.extract_embeddings(response).map_err(Retry::give_up)?;
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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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return Err(Retry::give_up(EmbedError::rest_response_embedding_count(
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expected_count,
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embeddings.len(),
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)));
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}
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if let Some(dimensions) = expected_dimensions {
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for embedding in &embeddings {
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if embedding.len() != dimensions {
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return Err(EmbedError::rest_unexpected_dimension(dimensions, embedding.len()));
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return Err(Retry::give_up(EmbedError::rest_unexpected_dimension(
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dimensions,
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embedding.len(),
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)));
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}
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}
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}
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