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use std::borrow::Cow;
use common::validation::validate_multi_vector;
use validator::{Validate, ValidationError, ValidationErrors};
use super::schema::BatchVectorStruct;
use super::{
Batch, ContextInput, Fusion, OrderByInterface, PointVectors, Query, QueryInterface,
RecommendInput, Sample, VectorInput,
};
use crate::rest::NamedVectorStruct;
impl Validate for NamedVectorStruct {
fn validate(&self) -> Result<(), validator::ValidationErrors> {
match self {
NamedVectorStruct::Default(_) => Ok(()),
NamedVectorStruct::Dense(_) => Ok(()),
NamedVectorStruct::Sparse(v) => v.validate(),
}
}
}
impl Validate for QueryInterface {
fn validate(&self) -> Result<(), validator::ValidationErrors> {
match self {
QueryInterface::Nearest(vector) => vector.validate(),
QueryInterface::Query(query) => query.validate(),
}
}
}
impl Validate for Query {
fn validate(&self) -> Result<(), validator::ValidationErrors> {
match self {
Query::Nearest(vector) => vector.nearest.validate(),
Query::Recommend(recommend) => recommend.recommend.validate(),
Query::Discover(discover) => discover.discover.validate(),
Query::Context(context) => context.context.validate(),
Query::Fusion(fusion) => fusion.fusion.validate(),
Query::OrderBy(order_by) => order_by.order_by.validate(),
Query::Sample(sample) => sample.sample.validate(),
}
}
}
impl Validate for VectorInput {
fn validate(&self) -> Result<(), validator::ValidationErrors> {
match self {
VectorInput::Id(_id) => Ok(()),
VectorInput::DenseVector(_dense) => Ok(()),
VectorInput::SparseVector(sparse) => sparse.validate(),
VectorInput::MultiDenseVector(multi) => validate_multi_vector(multi),
VectorInput::Document(doc) => doc.validate(),
VectorInput::Image(image) => image.validate(),
VectorInput::Object(obj) => obj.validate(),
}
}
}
impl Validate for RecommendInput {
fn validate(&self) -> Result<(), validator::ValidationErrors> {
let no_positives = self.positive.as_ref().map(|p| p.is_empty()).unwrap_or(true);
let no_negatives = self.negative.as_ref().map(|n| n.is_empty()).unwrap_or(true);
if no_positives && no_negatives {
let mut errors = validator::ValidationErrors::new();
errors.add(
"positives, negatives",
ValidationError::new(
"At least one positive or negative vector/id must be provided",
),
);
return Err(errors);
}
for item in self.iter() {
item.validate()?;
}
Ok(())
}
}
impl Validate for ContextInput {
fn validate(&self) -> Result<(), validator::ValidationErrors> {
for item in self.0.iter().flatten().flat_map(|item| item.iter()) {
item.validate()?;
}
Ok(())
}
}
impl Validate for Fusion {
fn validate(&self) -> Result<(), validator::ValidationErrors> {
match self {
Fusion::Rrf | Fusion::Dbsf => Ok(()),
}
}
}
impl Validate for OrderByInterface {
fn validate(&self) -> Result<(), validator::ValidationErrors> {
match self {
OrderByInterface::Key(_key) => Ok(()), // validated during parsing
OrderByInterface::Struct(order_by) => order_by.validate(),
}
}
}
impl Validate for Sample {
fn validate(&self) -> Result<(), ValidationErrors> {
match self {
Sample::Random => Ok(()),
}
}
}
impl Validate for BatchVectorStruct {
fn validate(&self) -> Result<(), ValidationErrors> {
match self {
BatchVectorStruct::Single(_) => Ok(()),
BatchVectorStruct::MultiDense(vectors) => {
for vector in vectors {
validate_multi_vector(vector)?;
}
Ok(())
}
BatchVectorStruct::Named(v) => {
common::validation::validate_iter(v.values().flat_map(|batch| batch.iter()))
}
BatchVectorStruct::Document(_) => Ok(()),
BatchVectorStruct::Image(_) => Ok(()),
BatchVectorStruct::Object(_) => Ok(()),
}
}
}
impl Validate for Batch {
fn validate(&self) -> Result<(), ValidationErrors> {
let batch = self;
let bad_input_description = |ids: usize, vecs: usize| -> String {
format!("number of ids and vectors must be equal ({ids} != {vecs})")
};
let create_error = |message: String| -> ValidationErrors {
let mut errors = ValidationErrors::new();
errors.add("batch", {
let mut error = ValidationError::new("point_insert_operation");
error.message.replace(Cow::from(message));
error
});
errors
};
self.vectors.validate()?;
match &batch.vectors {
BatchVectorStruct::Single(vectors) => {
if batch.ids.len() != vectors.len() {
return Err(create_error(bad_input_description(
batch.ids.len(),
vectors.len(),
)));
}
}
BatchVectorStruct::MultiDense(vectors) => {
if batch.ids.len() != vectors.len() {
return Err(create_error(bad_input_description(
batch.ids.len(),
vectors.len(),
)));
}
}
BatchVectorStruct::Named(named_vectors) => {
for vectors in named_vectors.values() {
if batch.ids.len() != vectors.len() {
return Err(create_error(bad_input_description(
batch.ids.len(),
vectors.len(),
)));
}
}
}
BatchVectorStruct::Document(_) => {}
BatchVectorStruct::Image(_) => {}
BatchVectorStruct::Object(_) => {}
}
if let Some(payload_vector) = &batch.payloads {
if payload_vector.len() != batch.ids.len() {
return Err(create_error(format!(
"number of ids and payloads must be equal ({} != {})",
batch.ids.len(),
payload_vector.len(),
)));
}
}
Ok(())
}
}
impl Validate for PointVectors {
fn validate(&self) -> Result<(), ValidationErrors> {
if self.vector.is_empty() {
let mut err = ValidationError::new("length");
err.message = Some(Cow::from("must specify vectors to update for point"));
err.add_param(Cow::from("min"), &1);
let mut errors = ValidationErrors::new();
errors.add("vector", err);
Err(errors)
} else {
self.vector.validate()
}
}
}
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