MeiliSearch/milli/src/vector/settings.rs
2024-04-24 12:33:07 +02:00

497 lines
20 KiB
Rust

use deserr::Deserr;
use serde::{Deserialize, Serialize};
use super::rest::InputType;
use super::{ollama, openai, DistributionShift};
use crate::prompt::PromptData;
use crate::update::Setting;
use crate::vector::EmbeddingConfig;
use crate::UserError;
#[derive(Debug, Clone, Default, Serialize, Deserialize, PartialEq, Eq, Deserr)]
#[serde(deny_unknown_fields, rename_all = "camelCase")]
#[deserr(rename_all = camelCase, deny_unknown_fields)]
pub struct EmbeddingSettings {
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
pub source: Setting<EmbedderSource>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
pub model: Setting<String>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
pub revision: Setting<String>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
pub api_key: Setting<String>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
pub dimensions: Setting<usize>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
pub document_template: Setting<String>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
pub url: Setting<String>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
pub query: Setting<serde_json::Value>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
pub input_field: Setting<Vec<String>>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
pub path_to_embeddings: Setting<Vec<String>>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
pub embedding_object: Setting<Vec<String>>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
pub input_type: Setting<InputType>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
pub distribution: Setting<DistributionShift>,
}
pub fn check_unset<T>(
key: &Setting<T>,
field: &'static str,
source: EmbedderSource,
embedder_name: &str,
) -> Result<(), UserError> {
if matches!(key, Setting::NotSet) {
Ok(())
} else {
Err(UserError::InvalidFieldForSource {
embedder_name: embedder_name.to_owned(),
source_: source,
field,
allowed_fields_for_source: EmbeddingSettings::allowed_fields_for_source(source),
allowed_sources_for_field: EmbeddingSettings::allowed_sources_for_field(field),
})
}
}
pub fn check_set<T>(
key: &Setting<T>,
field: &'static str,
source: EmbedderSource,
embedder_name: &str,
) -> Result<(), UserError> {
if matches!(key, Setting::Set(_)) {
Ok(())
} else {
Err(UserError::MissingFieldForSource {
field,
source_: source,
embedder_name: embedder_name.to_owned(),
})
}
}
impl EmbeddingSettings {
pub const SOURCE: &'static str = "source";
pub const MODEL: &'static str = "model";
pub const REVISION: &'static str = "revision";
pub const API_KEY: &'static str = "apiKey";
pub const DIMENSIONS: &'static str = "dimensions";
pub const DOCUMENT_TEMPLATE: &'static str = "documentTemplate";
pub const URL: &'static str = "url";
pub const QUERY: &'static str = "query";
pub const INPUT_FIELD: &'static str = "inputField";
pub const PATH_TO_EMBEDDINGS: &'static str = "pathToEmbeddings";
pub const EMBEDDING_OBJECT: &'static str = "embeddingObject";
pub const INPUT_TYPE: &'static str = "inputType";
pub const DISTRIBUTION: &'static str = "distribution";
pub fn allowed_sources_for_field(field: &'static str) -> &'static [EmbedderSource] {
match field {
Self::SOURCE => &[
EmbedderSource::HuggingFace,
EmbedderSource::OpenAi,
EmbedderSource::UserProvided,
EmbedderSource::Rest,
EmbedderSource::Ollama,
],
Self::MODEL => {
&[EmbedderSource::HuggingFace, EmbedderSource::OpenAi, EmbedderSource::Ollama]
}
Self::REVISION => &[EmbedderSource::HuggingFace],
Self::API_KEY => {
&[EmbedderSource::OpenAi, EmbedderSource::Ollama, EmbedderSource::Rest]
}
Self::DIMENSIONS => {
&[EmbedderSource::OpenAi, EmbedderSource::UserProvided, EmbedderSource::Rest]
}
Self::DOCUMENT_TEMPLATE => &[
EmbedderSource::HuggingFace,
EmbedderSource::OpenAi,
EmbedderSource::Ollama,
EmbedderSource::Rest,
],
Self::URL => &[EmbedderSource::Ollama, EmbedderSource::Rest],
Self::QUERY => &[EmbedderSource::Rest],
Self::INPUT_FIELD => &[EmbedderSource::Rest],
Self::PATH_TO_EMBEDDINGS => &[EmbedderSource::Rest],
Self::EMBEDDING_OBJECT => &[EmbedderSource::Rest],
Self::INPUT_TYPE => &[EmbedderSource::Rest],
Self::DISTRIBUTION => &[
EmbedderSource::HuggingFace,
EmbedderSource::Ollama,
EmbedderSource::OpenAi,
EmbedderSource::Rest,
EmbedderSource::UserProvided,
],
_other => unreachable!("unknown field"),
}
}
pub fn allowed_fields_for_source(source: EmbedderSource) -> &'static [&'static str] {
match source {
EmbedderSource::OpenAi => &[
Self::SOURCE,
Self::MODEL,
Self::API_KEY,
Self::DOCUMENT_TEMPLATE,
Self::DIMENSIONS,
Self::DISTRIBUTION,
],
EmbedderSource::HuggingFace => &[
Self::SOURCE,
Self::MODEL,
Self::REVISION,
Self::DOCUMENT_TEMPLATE,
Self::DISTRIBUTION,
],
EmbedderSource::Ollama => &[
Self::SOURCE,
Self::MODEL,
Self::DOCUMENT_TEMPLATE,
Self::URL,
Self::API_KEY,
Self::DISTRIBUTION,
],
EmbedderSource::UserProvided => &[Self::SOURCE, Self::DIMENSIONS, Self::DISTRIBUTION],
EmbedderSource::Rest => &[
Self::SOURCE,
Self::API_KEY,
Self::DIMENSIONS,
Self::DOCUMENT_TEMPLATE,
Self::URL,
Self::QUERY,
Self::INPUT_FIELD,
Self::PATH_TO_EMBEDDINGS,
Self::EMBEDDING_OBJECT,
Self::INPUT_TYPE,
Self::DISTRIBUTION,
],
}
}
pub(crate) fn apply_default_source(setting: &mut Setting<EmbeddingSettings>) {
if let Setting::Set(EmbeddingSettings {
source: source @ (Setting::NotSet | Setting::Reset),
..
}) = setting
{
*source = Setting::Set(EmbedderSource::default())
}
}
pub(crate) fn apply_default_openai_model(setting: &mut Setting<EmbeddingSettings>) {
if let Setting::Set(EmbeddingSettings {
source: Setting::Set(EmbedderSource::OpenAi),
model: model @ (Setting::NotSet | Setting::Reset),
..
}) = setting
{
*model = Setting::Set(openai::EmbeddingModel::default().name().to_owned())
}
}
pub(crate) fn apply_and_need_reindex(
old: &mut Setting<EmbeddingSettings>,
new: Setting<EmbeddingSettings>,
) -> bool {
match (old, new) {
(
Setting::Set(EmbeddingSettings {
source: old_source,
model: old_model,
revision: old_revision,
api_key: old_api_key,
dimensions: old_dimensions,
document_template: old_document_template,
url: old_url,
query: old_query,
input_field: old_input_field,
path_to_embeddings: old_path_to_embeddings,
embedding_object: old_embedding_object,
input_type: old_input_type,
distribution: old_distribution,
}),
Setting::Set(EmbeddingSettings {
source: new_source,
model: new_model,
revision: new_revision,
api_key: new_api_key,
dimensions: new_dimensions,
document_template: new_document_template,
url: new_url,
query: new_query,
input_field: new_input_field,
path_to_embeddings: new_path_to_embeddings,
embedding_object: new_embedding_object,
input_type: new_input_type,
distribution: new_distribution,
}),
) => {
let mut needs_reindex = false;
needs_reindex |= old_source.apply(new_source);
needs_reindex |= old_model.apply(new_model);
needs_reindex |= old_revision.apply(new_revision);
needs_reindex |= old_dimensions.apply(new_dimensions);
needs_reindex |= old_document_template.apply(new_document_template);
needs_reindex |= old_url.apply(new_url);
needs_reindex |= old_query.apply(new_query);
needs_reindex |= old_input_field.apply(new_input_field);
needs_reindex |= old_path_to_embeddings.apply(new_path_to_embeddings);
needs_reindex |= old_embedding_object.apply(new_embedding_object);
needs_reindex |= old_input_type.apply(new_input_type);
old_distribution.apply(new_distribution);
old_api_key.apply(new_api_key);
needs_reindex
}
(Setting::Reset, Setting::Reset) | (_, Setting::NotSet) => false,
_ => true,
}
}
}
#[derive(Debug, Clone, Copy, Default, Serialize, Deserialize, PartialEq, Eq, Deserr)]
#[serde(deny_unknown_fields, rename_all = "camelCase")]
#[deserr(rename_all = camelCase, deny_unknown_fields)]
pub enum EmbedderSource {
#[default]
OpenAi,
HuggingFace,
Ollama,
UserProvided,
Rest,
}
impl std::fmt::Display for EmbedderSource {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
let s = match self {
EmbedderSource::OpenAi => "openAi",
EmbedderSource::HuggingFace => "huggingFace",
EmbedderSource::UserProvided => "userProvided",
EmbedderSource::Ollama => "ollama",
EmbedderSource::Rest => "rest",
};
f.write_str(s)
}
}
impl From<EmbeddingConfig> for EmbeddingSettings {
fn from(value: EmbeddingConfig) -> Self {
let EmbeddingConfig { embedder_options, prompt } = value;
match embedder_options {
super::EmbedderOptions::HuggingFace(options) => Self {
source: Setting::Set(EmbedderSource::HuggingFace),
model: Setting::Set(options.model),
revision: options.revision.map(Setting::Set).unwrap_or_default(),
api_key: Setting::NotSet,
dimensions: Setting::NotSet,
document_template: Setting::Set(prompt.template),
url: Setting::NotSet,
query: Setting::NotSet,
input_field: Setting::NotSet,
path_to_embeddings: Setting::NotSet,
embedding_object: Setting::NotSet,
input_type: Setting::NotSet,
distribution: options.distribution.map(Setting::Set).unwrap_or_default(),
},
super::EmbedderOptions::OpenAi(options) => Self {
source: Setting::Set(EmbedderSource::OpenAi),
model: Setting::Set(options.embedding_model.name().to_owned()),
revision: Setting::NotSet,
api_key: options.api_key.map(Setting::Set).unwrap_or_default(),
dimensions: options.dimensions.map(Setting::Set).unwrap_or_default(),
document_template: Setting::Set(prompt.template),
url: Setting::NotSet,
query: Setting::NotSet,
input_field: Setting::NotSet,
path_to_embeddings: Setting::NotSet,
embedding_object: Setting::NotSet,
input_type: Setting::NotSet,
distribution: options.distribution.map(Setting::Set).unwrap_or_default(),
},
super::EmbedderOptions::Ollama(options) => Self {
source: Setting::Set(EmbedderSource::Ollama),
model: Setting::Set(options.embedding_model.to_owned()),
revision: Setting::NotSet,
api_key: options.api_key.map(Setting::Set).unwrap_or_default(),
dimensions: Setting::NotSet,
document_template: Setting::Set(prompt.template),
url: Setting::NotSet,
query: Setting::NotSet,
input_field: Setting::NotSet,
path_to_embeddings: Setting::NotSet,
embedding_object: Setting::NotSet,
input_type: Setting::NotSet,
distribution: options.distribution.map(Setting::Set).unwrap_or_default(),
},
super::EmbedderOptions::UserProvided(options) => Self {
source: Setting::Set(EmbedderSource::UserProvided),
model: Setting::NotSet,
revision: Setting::NotSet,
api_key: Setting::NotSet,
dimensions: Setting::Set(options.dimensions),
document_template: Setting::NotSet,
url: Setting::NotSet,
query: Setting::NotSet,
input_field: Setting::NotSet,
path_to_embeddings: Setting::NotSet,
embedding_object: Setting::NotSet,
input_type: Setting::NotSet,
distribution: options.distribution.map(Setting::Set).unwrap_or_default(),
},
super::EmbedderOptions::Rest(super::rest::EmbedderOptions {
api_key,
dimensions,
url,
query,
input_field,
path_to_embeddings,
embedding_object,
input_type,
distribution,
}) => Self {
source: Setting::Set(EmbedderSource::Rest),
model: Setting::NotSet,
revision: Setting::NotSet,
api_key: api_key.map(Setting::Set).unwrap_or_default(),
dimensions: dimensions.map(Setting::Set).unwrap_or_default(),
document_template: Setting::Set(prompt.template),
url: Setting::Set(url),
query: Setting::Set(query),
input_field: Setting::Set(input_field),
path_to_embeddings: Setting::Set(path_to_embeddings),
embedding_object: Setting::Set(embedding_object),
input_type: Setting::Set(input_type),
distribution: distribution.map(Setting::Set).unwrap_or_default(),
},
}
}
}
impl From<EmbeddingSettings> for EmbeddingConfig {
fn from(value: EmbeddingSettings) -> Self {
let mut this = Self::default();
let EmbeddingSettings {
source,
model,
revision,
api_key,
dimensions,
document_template,
url,
query,
input_field,
path_to_embeddings,
embedding_object,
input_type,
distribution,
} = value;
if let Some(source) = source.set() {
match source {
EmbedderSource::OpenAi => {
let mut options = super::openai::EmbedderOptions::with_default_model(None);
if let Some(model) = model.set() {
if let Some(model) = super::openai::EmbeddingModel::from_name(&model) {
options.embedding_model = model;
}
}
if let Some(api_key) = api_key.set() {
options.api_key = Some(api_key);
}
if let Some(dimensions) = dimensions.set() {
options.dimensions = Some(dimensions);
}
options.distribution = distribution.set();
this.embedder_options = super::EmbedderOptions::OpenAi(options);
}
EmbedderSource::Ollama => {
let mut options: ollama::EmbedderOptions =
super::ollama::EmbedderOptions::with_default_model(
api_key.set(),
url.set(),
);
if let Some(model) = model.set() {
options.embedding_model = model;
}
options.distribution = distribution.set();
this.embedder_options = super::EmbedderOptions::Ollama(options);
}
EmbedderSource::HuggingFace => {
let mut options = super::hf::EmbedderOptions::default();
if let Some(model) = model.set() {
options.model = model;
// Reset the revision if we are setting the model.
// This allows the following:
// "huggingFace": {} -> default model with default revision
// "huggingFace": { "model": "name-of-the-default-model" } -> default model without a revision
// "huggingFace": { "model": "some-other-model" } -> most importantly, other model without a revision
options.revision = None;
}
if let Some(revision) = revision.set() {
options.revision = Some(revision);
}
options.distribution = distribution.set();
this.embedder_options = super::EmbedderOptions::HuggingFace(options);
}
EmbedderSource::UserProvided => {
this.embedder_options =
super::EmbedderOptions::UserProvided(super::manual::EmbedderOptions {
dimensions: dimensions.set().unwrap(),
distribution: distribution.set(),
});
}
EmbedderSource::Rest => {
let embedder_options = super::rest::EmbedderOptions::default();
this.embedder_options =
super::EmbedderOptions::Rest(super::rest::EmbedderOptions {
api_key: api_key.set(),
dimensions: dimensions.set(),
url: url.set().unwrap(),
query: query.set().unwrap_or(embedder_options.query),
input_field: input_field.set().unwrap_or(embedder_options.input_field),
path_to_embeddings: path_to_embeddings
.set()
.unwrap_or(embedder_options.path_to_embeddings),
embedding_object: embedding_object
.set()
.unwrap_or(embedder_options.embedding_object),
input_type: input_type.set().unwrap_or(embedder_options.input_type),
distribution: distribution.set(),
})
}
}
}
if let Setting::Set(template) = document_template {
this.prompt = PromptData { template }
}
this
}
}