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https://github.com/meilisearch/MeiliSearch
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Add new errors
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parent
393216bf30
commit
14b396d302
@ -344,7 +344,10 @@ impl ErrorCode for milli::Error {
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Code::InvalidDocumentId
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Code::InvalidDocumentId
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}
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}
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UserError::MissingDocumentField(_) => Code::InvalidDocumentFields,
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UserError::MissingDocumentField(_) => Code::InvalidDocumentFields,
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UserError::InvalidPrompt(_) => Code::InvalidSettingsEmbedders,
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UserError::InvalidFieldForSource { .. }
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| UserError::MissingFieldForSource { .. }
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| UserError::InvalidOpenAiModel { .. }
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| UserError::InvalidPrompt(_) => Code::InvalidSettingsEmbedders,
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UserError::TooManyEmbedders(_) => Code::InvalidSettingsEmbedders,
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UserError::TooManyEmbedders(_) => Code::InvalidSettingsEmbedders,
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UserError::InvalidPromptForEmbeddings(..) => Code::InvalidSettingsEmbedders,
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UserError::InvalidPromptForEmbeddings(..) => Code::InvalidSettingsEmbedders,
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UserError::NoPrimaryKeyCandidateFound => Code::IndexPrimaryKeyNoCandidateFound,
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UserError::NoPrimaryKeyCandidateFound => Code::IndexPrimaryKeyNoCandidateFound,
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@ -192,7 +192,7 @@ only composed of alphanumeric characters (a-z A-Z 0-9), hyphens (-) and undersco
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MissingDocumentField(#[from] crate::prompt::error::RenderPromptError),
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MissingDocumentField(#[from] crate::prompt::error::RenderPromptError),
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#[error(transparent)]
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#[error(transparent)]
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InvalidPrompt(#[from] crate::prompt::error::NewPromptError),
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InvalidPrompt(#[from] crate::prompt::error::NewPromptError),
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#[error("Invalid prompt in for embeddings with name '{0}': {1}.")]
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#[error("`.embedders.{0}.documentTemplate`: Invalid template: {1}.")]
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InvalidPromptForEmbeddings(String, crate::prompt::error::NewPromptError),
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InvalidPromptForEmbeddings(String, crate::prompt::error::NewPromptError),
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#[error("Too many embedders in the configuration. Found {0}, but limited to 256.")]
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#[error("Too many embedders in the configuration. Found {0}, but limited to 256.")]
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TooManyEmbedders(usize),
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TooManyEmbedders(usize),
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@ -200,6 +200,33 @@ only composed of alphanumeric characters (a-z A-Z 0-9), hyphens (-) and undersco
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InvalidEmbedder(String),
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InvalidEmbedder(String),
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#[error("Too many vectors for document with id {0}: found {1}, but limited to 256.")]
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#[error("Too many vectors for document with id {0}: found {1}, but limited to 256.")]
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TooManyVectors(String, usize),
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TooManyVectors(String, usize),
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#[error("`.embedders.{embedder_name}`: Field `{field}` unavailable for source `{source_}` (only available for sources: {}). Available fields: {}",
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allowed_sources_for_field
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.iter()
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.map(|accepted| format!("`{}`", accepted))
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.collect::<Vec<String>>()
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.join(", "),
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allowed_fields_for_source
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.iter()
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.map(|accepted| format!("`{}`", accepted))
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.collect::<Vec<String>>()
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.join(", ")
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)]
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InvalidFieldForSource {
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embedder_name: String,
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source_: crate::vector::settings::EmbedderSource,
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field: &'static str,
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allowed_fields_for_source: &'static [&'static str],
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allowed_sources_for_field: &'static [crate::vector::settings::EmbedderSource],
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},
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#[error("`.embedders.{embedder_name}.model`: Invalid model `{model}` for OpenAI. Supported models: {:?}", crate::vector::openai::EmbeddingModel::supported_models())]
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InvalidOpenAiModel { embedder_name: String, model: String },
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#[error("`.embedders.{embedder_name}`: Missing field `{field}` (note: this field is mandatory for source {source_})")]
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MissingFieldForSource {
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field: &'static str,
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source_: crate::vector::settings::EmbedderSource,
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embedder_name: String,
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},
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}
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}
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impl From<crate::vector::Error> for Error {
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impl From<crate::vector::Error> for Error {
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