From 03e7cc3753692530c3e3677035b4201eed96f65d Mon Sep 17 00:00:00 2001
From: Louis Dureuil <louis@meilisearch.com>
Date: Thu, 14 Nov 2024 15:28:44 +0100
Subject: [PATCH] Retry in case where the JSON deserialization fails

---
 milli/src/vector/error.rs |  2 +-
 milli/src/vector/rest.rs  | 28 +++++++++++++++++-----------
 2 files changed, 18 insertions(+), 12 deletions(-)

diff --git a/milli/src/vector/error.rs b/milli/src/vector/error.rs
index 3c8cb4b06..45ed5f3a5 100644
--- a/milli/src/vector/error.rs
+++ b/milli/src/vector/error.rs
@@ -58,7 +58,7 @@ pub enum EmbedErrorKind {
     ManualEmbed(String),
     #[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 "))]
     OllamaModelNotFoundError(Option<String>),
-    #[error("error deserialization the response body as JSON:\n  - {0}")]
+    #[error("error deserializing the response body as JSON:\n  - {0}")]
     RestResponseDeserialization(std::io::Error),
     #[error("expected a response containing {0} embeddings, got only {1}")]
     RestResponseEmbeddingCount(usize, usize),
diff --git a/milli/src/vector/rest.rs b/milli/src/vector/rest.rs
index 05578ef1f..27bbc6ae0 100644
--- a/milli/src/vector/rest.rs
+++ b/milli/src/vector/rest.rs
@@ -252,12 +252,12 @@ where
 
     for attempt in 0..10 {
         let response = request.clone().send_json(&body);
-        let result = check_response(response, data.configuration_source);
+        let result = check_response(response, data.configuration_source).and_then(|response| {
+            response_to_embedding(response, data, expected_count, expected_dimension)
+        });
 
         let retry_duration = match result {
-            Ok(response) => {
-                return response_to_embedding(response, data, expected_count, expected_dimension)
-            }
+            Ok(response) => return Ok(response),
             Err(retry) => {
                 tracing::warn!("Failed: {}", retry.error);
                 if let Some(deadline) = deadline {
@@ -289,6 +289,7 @@ where
     let result = check_response(response, data.configuration_source);
     result.map_err(Retry::into_error).and_then(|response| {
         response_to_embedding(response, data, expected_count, expected_dimension)
+            .map_err(Retry::into_error)
     })
 }
 
@@ -330,23 +331,28 @@ fn response_to_embedding(
     data: &EmbedderData,
     expected_count: usize,
     expected_dimensions: Option<usize>,
-) -> Result<Vec<Embeddings<f32>>, EmbedError> {
-    let response: serde_json::Value =
-        response.into_json().map_err(EmbedError::rest_response_deserialization)?;
+) -> Result<Vec<Embeddings<f32>>, Retry> {
+    let response: serde_json::Value = response
+        .into_json()
+        .map_err(EmbedError::rest_response_deserialization)
+        .map_err(Retry::retry_later)?;
 
-    let embeddings = data.response.extract_embeddings(response)?;
+    let embeddings = data.response.extract_embeddings(response).map_err(Retry::give_up)?;
 
     if embeddings.len() != expected_count {
-        return Err(EmbedError::rest_response_embedding_count(expected_count, embeddings.len()));
+        return Err(Retry::give_up(EmbedError::rest_response_embedding_count(
+            expected_count,
+            embeddings.len(),
+        )));
     }
 
     if let Some(dimensions) = expected_dimensions {
         for embedding in &embeddings {
             if embedding.dimension() != dimensions {
-                return Err(EmbedError::rest_unexpected_dimension(
+                return Err(Retry::give_up(EmbedError::rest_unexpected_dimension(
                     dimensions,
                     embedding.dimension(),
-                ));
+                )));
             }
         }
     }