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Fix hanging issue when no response from OpenAI API (#1841)

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Co-authored-by: Kishore Nallan <kishorenc@gmail.com>
This commit is contained in:
Ozan Armağan 2024-07-16 05:26:21 +03:00 committed by GitHub
parent bbeff25b6a
commit d5fa1809eb
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GPG Key ID: B5690EEEBB952194
1 changed files with 4 additions and 4 deletions
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8
src/collection.cpp
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@ -1371,7 +1371,7 @@ Option<bool> Collection::validate_and_standardize_sort_fields(const std::vector<
auto embedding_op = embedder->Embed(embed_query, remote_embedding_timeout_ms, remote_embedding_num_tries);
if(!embedding_op.success) {
if(!embedding_op.error["error"].get<std::string>().empty()) {
if(embedding_op.error.contains("error")) {
return Option<bool>(400, embedding_op.error["error"].get<std::string>());
} else {
return Option<bool>(400, embedding_op.error.dump());
@ -1426,7 +1426,7 @@ Option<bool> Collection::validate_and_standardize_sort_fields(const std::vector<
auto embedding_op = embedder->Embed(embed_query, remote_embedding_timeout_ms, remote_embedding_num_tries);
if(!embedding_op.success) {
if(!embedding_op.error["error"].get<std::string>().empty()) {
if(embedding_op.error.contains("error")) {
return Option<bool>(400, embedding_op.error["error"].get<std::string>());
} else {
return Option<bool>(400, embedding_op.error.dump());
@ -2020,7 +2020,7 @@ Option<nlohmann::json> Collection::search(std::string raw_query,
std::string embed_query = embedder_manager.get_query_prefix(search_field.embed[fields::model_config]) + query;
auto embedding_op = embedder->Embed(embed_query, remote_embedding_timeout_ms, remote_embedding_num_tries);
if(!embedding_op.success) {
if(!embedding_op.error["error"].get<std::string>().empty()) {
if(embedding_op.error.contains("error")) {
return Option<nlohmann::json>(400, embedding_op.error["error"].get<std::string>());
} else {
return Option<nlohmann::json>(400, embedding_op.error.dump());
@ -6851,7 +6851,7 @@ Option<bool> Collection::parse_and_validate_vector_query(const std::string& vect
auto embedding_op = embedder->Embed(embed_query, remote_embedding_timeout_ms, remote_embedding_num_tries);
if(!embedding_op.success) {
if(!embedding_op.error["error"].get<std::string>().empty()) {
if(embedding_op.error.contains("error")) {
return Option<bool>(400, embedding_op.error["error"].get<std::string>());
} else {
return Option<bool>(400, embedding_op.error.dump());