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Code Issues Releases Wiki Activity

Remove unwraps

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This commit is contained in:
Louis Dureuil 2024-03-20 13:25:10 +01:00
parent b6b4b6bab7
commit f87747f4d3
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4 changed files with 40 additions and 13 deletions
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20
milli/src/vector/error.rs
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@ -52,8 +52,6 @@ pub enum EmbedErrorKind {
ModelForward(candle_core::Error),
#[error("attempt to embed the following text in a configuration where embeddings must be user provided: {0:?}")]
ManualEmbed(String),
#[error("could not initialize asynchronous runtime: {0}")]
OpenAiRuntimeInit(std::io::Error),
#[error("model not found. Meilisearch will not automatically download models from the Ollama library, please pull the model manually: {0:?}")]
OllamaModelNotFoundError(Option<String>),
#[error("error deserialization the response body as JSON: {0}")]
@ -76,6 +74,10 @@ pub enum EmbedErrorKind {
RestOtherStatusCode(u16, Option<String>),
#[error("could not reach embedding server: {0}")]
RestNetwork(ureq::Transport),
#[error("was expected '{}' to be an object in query '{0}'", .1.join("."))]
RestNotAnObject(serde_json::Value, Vec<String>),
#[error("while embedding tokenized, was expecting embeddings of dimension `{0}`, got embeddings of dimensions `{1}`")]
OpenAiUnexpectedDimension(usize, usize),
}
impl EmbedError {
@ -174,6 +176,20 @@ impl EmbedError {
pub(crate) fn rest_network(transport: ureq::Transport) -> EmbedError {
Self { kind: EmbedErrorKind::RestNetwork(transport), fault: FaultSource::Runtime }
}
pub(crate) fn rest_not_an_object(
query: serde_json::Value,
input_path: Vec<String>,
) -> EmbedError {
Self { kind: EmbedErrorKind::RestNotAnObject(query, input_path), fault: FaultSource::User }
}
pub(crate) fn openai_unexpected_dimension(expected: usize, got: usize) -> EmbedError {
Self {
kind: EmbedErrorKind::OpenAiUnexpectedDimension(expected, got),
fault: FaultSource::Runtime,
}
}
}
#[derive(Debug, thiserror::Error)]