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https://github.com/meilisearch/MeiliSearch
synced 2024-11-25 22:34:28 +01:00
Change parameters in milli settings
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parent
4b74803dae
commit
0d8199f3b7
@ -1484,11 +1484,8 @@ fn validate_prompt(
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dimensions,
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document_template: Setting::Set(template),
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url,
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query,
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input_field,
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path_to_embeddings,
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embedding_object,
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input_type,
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request,
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response,
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distribution,
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}) => {
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// validate
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@ -1504,11 +1501,8 @@ fn validate_prompt(
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dimensions,
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document_template: Setting::Set(template),
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url,
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query,
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input_field,
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path_to_embeddings,
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embedding_object,
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input_type,
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request,
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response,
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distribution,
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}))
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}
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@ -1530,11 +1524,8 @@ pub fn validate_embedding_settings(
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dimensions,
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document_template,
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url,
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query,
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input_field,
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path_to_embeddings,
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embedding_object,
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input_type,
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request,
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response,
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distribution,
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} = settings;
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@ -1553,6 +1544,15 @@ pub fn validate_embedding_settings(
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})?;
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}
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if let Some(request) = request.as_ref().set() {
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let request = crate::vector::rest::Request::new(request.to_owned())
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.map_err(|error| crate::UserError::VectorEmbeddingError(error.into()))?;
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if let Some(response) = response.as_ref().set() {
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crate::vector::rest::Response::new(response.to_owned(), &request)
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.map_err(|error| crate::UserError::VectorEmbeddingError(error.into()))?;
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}
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}
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let Some(inferred_source) = source.set() else {
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return Ok(Setting::Set(EmbeddingSettings {
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source,
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@ -1562,11 +1562,8 @@ pub fn validate_embedding_settings(
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dimensions,
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document_template,
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url,
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query,
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input_field,
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path_to_embeddings,
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embedding_object,
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input_type,
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request,
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response,
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distribution,
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}));
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};
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@ -1574,21 +1571,8 @@ pub fn validate_embedding_settings(
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EmbedderSource::OpenAi => {
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check_unset(&revision, EmbeddingSettings::REVISION, inferred_source, name)?;
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check_unset(&query, EmbeddingSettings::QUERY, inferred_source, name)?;
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check_unset(&input_field, EmbeddingSettings::INPUT_FIELD, inferred_source, name)?;
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check_unset(
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&path_to_embeddings,
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EmbeddingSettings::PATH_TO_EMBEDDINGS,
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inferred_source,
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name,
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)?;
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check_unset(
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&embedding_object,
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EmbeddingSettings::EMBEDDING_OBJECT,
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inferred_source,
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name,
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)?;
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check_unset(&input_type, EmbeddingSettings::INPUT_TYPE, inferred_source, name)?;
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check_unset(&request, EmbeddingSettings::REQUEST, inferred_source, name)?;
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check_unset(&response, EmbeddingSettings::RESPONSE, inferred_source, name)?;
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if let Setting::Set(model) = &model {
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let model = crate::vector::openai::EmbeddingModel::from_name(model.as_str())
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@ -1626,42 +1610,16 @@ pub fn validate_embedding_settings(
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check_set(&model, EmbeddingSettings::MODEL, inferred_source, name)?;
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check_unset(&revision, EmbeddingSettings::REVISION, inferred_source, name)?;
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check_unset(&query, EmbeddingSettings::QUERY, inferred_source, name)?;
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check_unset(&input_field, EmbeddingSettings::INPUT_FIELD, inferred_source, name)?;
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check_unset(
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&path_to_embeddings,
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EmbeddingSettings::PATH_TO_EMBEDDINGS,
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inferred_source,
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name,
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)?;
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check_unset(
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&embedding_object,
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EmbeddingSettings::EMBEDDING_OBJECT,
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inferred_source,
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name,
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)?;
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check_unset(&input_type, EmbeddingSettings::INPUT_TYPE, inferred_source, name)?;
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check_unset(&request, EmbeddingSettings::REQUEST, inferred_source, name)?;
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check_unset(&response, EmbeddingSettings::RESPONSE, inferred_source, name)?;
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}
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EmbedderSource::HuggingFace => {
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check_unset(&api_key, EmbeddingSettings::API_KEY, inferred_source, name)?;
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check_unset(&dimensions, EmbeddingSettings::DIMENSIONS, inferred_source, name)?;
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check_unset(&url, EmbeddingSettings::URL, inferred_source, name)?;
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check_unset(&query, EmbeddingSettings::QUERY, inferred_source, name)?;
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check_unset(&input_field, EmbeddingSettings::INPUT_FIELD, inferred_source, name)?;
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check_unset(
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&path_to_embeddings,
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EmbeddingSettings::PATH_TO_EMBEDDINGS,
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inferred_source,
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name,
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)?;
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check_unset(
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&embedding_object,
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EmbeddingSettings::EMBEDDING_OBJECT,
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inferred_source,
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name,
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)?;
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check_unset(&input_type, EmbeddingSettings::INPUT_TYPE, inferred_source, name)?;
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check_unset(&request, EmbeddingSettings::REQUEST, inferred_source, name)?;
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check_unset(&response, EmbeddingSettings::RESPONSE, inferred_source, name)?;
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}
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EmbedderSource::UserProvided => {
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check_unset(&model, EmbeddingSettings::MODEL, inferred_source, name)?;
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@ -1676,26 +1634,15 @@ pub fn validate_embedding_settings(
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check_set(&dimensions, EmbeddingSettings::DIMENSIONS, inferred_source, name)?;
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check_unset(&url, EmbeddingSettings::URL, inferred_source, name)?;
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check_unset(&query, EmbeddingSettings::QUERY, inferred_source, name)?;
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check_unset(&input_field, EmbeddingSettings::INPUT_FIELD, inferred_source, name)?;
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check_unset(
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&path_to_embeddings,
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EmbeddingSettings::PATH_TO_EMBEDDINGS,
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inferred_source,
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name,
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)?;
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check_unset(
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&embedding_object,
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EmbeddingSettings::EMBEDDING_OBJECT,
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inferred_source,
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name,
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)?;
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check_unset(&input_type, EmbeddingSettings::INPUT_TYPE, inferred_source, name)?;
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check_unset(&request, EmbeddingSettings::REQUEST, inferred_source, name)?;
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check_unset(&response, EmbeddingSettings::RESPONSE, inferred_source, name)?;
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}
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EmbedderSource::Rest => {
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check_unset(&model, EmbeddingSettings::MODEL, inferred_source, name)?;
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check_unset(&revision, EmbeddingSettings::REVISION, inferred_source, name)?;
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check_set(&url, EmbeddingSettings::URL, inferred_source, name)?;
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check_set(&request, EmbeddingSettings::REQUEST, inferred_source, name)?;
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check_set(&response, EmbeddingSettings::RESPONSE, inferred_source, name)?;
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}
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}
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Ok(Setting::Set(EmbeddingSettings {
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@ -1706,11 +1653,8 @@ pub fn validate_embedding_settings(
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dimensions,
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document_template,
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url,
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query,
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input_field,
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path_to_embeddings,
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embedding_object,
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input_type,
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request,
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response,
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distribution,
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}))
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}
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