use proc_macro::TokenStream;
use quote::quote;
use syn::{parse_macro_input, Data, DeriveInput, Fields, LitStr};
pub fn qdrant_entity_impl(input: TokenStream) -> TokenStream {
let input = parse_macro_input!(input as DeriveInput);
let name = &input.ident;
let mut collection_name: Option<String> = None;
for attr in &input.attrs {
if attr.path().is_ident("qdrant") {
let _ = attr.parse_nested_meta(|meta| {
if meta.path.is_ident("collection_name") {
let value: LitStr = meta.value()?.parse()?;
collection_name = Some(value.value());
}
Ok(())
});
}
}
let collection_name = collection_name.unwrap_or_else(|| "main".to_string());
let Data::Struct(data_struct) = &input.data else {
return syn::Error::new_spanned(
&input.ident,
"QdrantEntity can only be derived for structs",
)
.to_compile_error()
.into();
};
let Fields::Named(fields) = &data_struct.fields else {
return syn::Error::new_spanned(&input.ident, "QdrantEntity requires named fields")
.to_compile_error()
.into();
};
let mut id_field: Option<syn::Ident> = None;
let mut payload_inserts = vec![];
for field in &fields.named {
let field_ident = field.ident.as_ref().unwrap();
let field_name_str = field_ident.to_string();
let mut is_id = false;
for attr in &field.attrs {
if attr.path().is_ident("qdrant") {
let _ = attr.parse_nested_meta(|meta| {
if meta.path.is_ident("id") {
is_id = true;
}
Ok(())
});
}
}
if is_id {
id_field = Some(field_ident.clone());
}
payload_inserts.push(quote! {
if let Ok(val) = serde_json::to_value(&self.#field_ident) {
if !val.is_null() {
map.insert(
#field_name_str.to_string(),
crate::features::rag::qdrant::types::json_to_qdrant_value(val),
);
}
}
});
}
let id_field = match id_field {
Some(f) => f,
None => {
return syn::Error::new_spanned(
&input.ident,
"QdrantEntity requires one field with #[qdrant(id)]",
)
.to_compile_error()
.into();
}
};
let collection_name_lit = collection_name;
let expanded = quote! {
impl #name {
pub fn collection_name() -> String {
let prefix = option_env!("QDRANT_PREFIX").unwrap_or("ratel-local");
format!("{}-{}", prefix, #collection_name_lit)
}
pub fn point_id(&self) -> String {
self.#id_field.to_string()
}
pub fn payload(&self) -> std::collections::HashMap<String, qdrant_client::qdrant::Value> {
let mut map = std::collections::HashMap::new();
#(#payload_inserts)*
map
}
pub async fn upsert_points(
&self,
client: &qdrant_client::Qdrant,
) -> std::result::Result<(), qdrant_client::QdrantError>
where
Self: crate::features::rag::qdrant::types::Embedding,
{
use crate::features::rag::qdrant::types::Embedding;
let collection = Self::collection_name();
if !client.collection_exists(&collection).await? {
client
.create_collection(
qdrant_client::qdrant::CreateCollectionBuilder::new(&collection)
.vectors_config(
qdrant_client::qdrant::VectorParamsBuilder::new(
1024,
qdrant_client::qdrant::Distance::Cosine,
),
),
)
.await?;
}
let vector = self.embed().await.map_err(|e| {
qdrant_client::QdrantError::Io(
std::io::Error::new(std::io::ErrorKind::Other, format!("embedding failed: {e}"))
)
})?;
let point = qdrant_client::qdrant::PointStruct::new(
self.point_id(),
vector,
self.payload(),
);
client
.upsert_points(
qdrant_client::qdrant::UpsertPointsBuilder::new(
collection,
vec![point],
),
)
.await?;
Ok(())
}
pub async fn delete_points(
client: &qdrant_client::Qdrant,
point_id: &str,
) -> std::result::Result<(), qdrant_client::QdrantError> {
let collection = Self::collection_name();
client
.delete_points(
qdrant_client::qdrant::DeletePointsBuilder::new(&collection)
.points(qdrant_client::qdrant::PointsIdsList {
ids: vec![point_id.to_string().into()],
}),
)
.await?;
Ok(())
}
}
};
TokenStream::from(expanded)
}