fix(noxa-68r.4): replace qdrant-client with plain reqwest REST calls

qdrant-client v1.x is gRPC-only — reqwest feature is snapshot downloads only.
Rewrite QdrantStore using direct HTTP calls against Qdrant REST API (port 6333):
- collection_exists: GET /collections/{name}
- create_collection: PUT /collections/{name} + PUT /collections/{name}/index
- upsert: PUT /collections/{name}/points?wait=true (256-batch)
- delete_by_url: POST /collections/{name}/points/delete?wait=true
- search: POST /collections/{name}/points/search
No new dependencies — reqwest already in workspace.
This commit is contained in:
Jacob Magar 2026-04-12 08:48:47 -04:00
parent 5217b99601
commit 2e4343905f
3 changed files with 180 additions and 117 deletions

View file

@ -33,8 +33,7 @@ async-trait = "0.1"
# HTTP client (plain reqwest — no primp patches needed for TEI/Qdrant)
reqwest = { version = "0.12", default-features = false, features = ["json", "rustls-tls"] }
# Vector store — REST transport only (reqwest feature, no protoc required)
qdrant-client = { version = "1", default-features = false, features = ["reqwest"] }
# No qdrant-client crate — REST calls via plain reqwest (no protoc/gRPC dependency)
# Chunking
text-splitter = { version = "0.25", features = ["markdown", "tokenizers"] }

View file

@ -58,7 +58,7 @@ pub enum EmbedProviderConfig {
#[serde(tag = "type", rename_all = "snake_case")]
pub enum VectorStoreConfig {
Qdrant {
/// gRPC URL — port 6334. qdrant-client v1.x uses gRPC (tonic), NOT REST.
/// REST URL — port 6333 (e.g. http://127.0.0.1:53333 if port-mapped).
url: String,
collection: String,
/// Optional API key. Override with NOXA_RAG_QDRANT_API_KEY env var.

View file

@ -1,92 +1,139 @@
use async_trait::async_trait;
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{
Condition, CreateCollectionBuilder, CreateFieldIndexCollectionBuilder, DeletePointsBuilder,
Distance, FieldType, Filter, HnswConfigDiffBuilder, PointStruct, SearchPointsBuilder,
UpsertPointsBuilder, VectorParamsBuilder,
};
use qdrant_client::Payload;
use serde::{Deserialize, Serialize};
use serde_json::json;
use crate::error::RagError;
use crate::store::VectorStore;
use crate::types::{Point, SearchResult};
// ── REST request/response shapes ─────────────────────────────────────────────
#[derive(Deserialize)]
struct QdrantStatus {
status: String, // "ok" on success
}
#[derive(Deserialize)]
struct CollectionInfoResponse {
result: Option<serde_json::Value>,
}
#[derive(Serialize)]
struct UpsertRequest {
points: Vec<QdrantPoint>,
}
#[derive(Serialize)]
struct QdrantPoint {
id: String, // UUID string
vector: Vec<f32>,
payload: std::collections::HashMap<String, serde_json::Value>,
}
#[derive(Serialize)]
struct DeleteByFilterRequest {
filter: serde_json::Value,
}
#[derive(Serialize)]
struct SearchRequest {
vector: Vec<f32>,
limit: usize,
with_payload: bool,
score_threshold: Option<f32>,
}
#[derive(Deserialize)]
struct SearchResponse {
result: Vec<SearchHit>,
}
#[derive(Deserialize)]
struct SearchHit {
score: f32,
payload: Option<std::collections::HashMap<String, serde_json::Value>>,
}
// ── QdrantStore ───────────────────────────────────────────────────────────────
pub struct QdrantStore {
client: Qdrant,
client: reqwest::Client,
base_url: String, // e.g. "http://127.0.0.1:53333"
collection: String,
#[allow(dead_code)]
uuid_namespace: uuid::Uuid,
}
impl QdrantStore {
/// Create a new QdrantStore.
///
/// `url` should be the gRPC endpoint, typically `http://localhost:6334`.
/// The crate uses gRPC transport via tonic — the `reqwest` feature only
/// enables snapshot downloads, not a REST transport.
pub fn new(
url: &str,
collection: String,
api_key: Option<String>,
uuid_namespace: uuid::Uuid,
) -> Result<Self, RagError> {
let mut builder = Qdrant::from_url(url);
let mut headers = reqwest::header::HeaderMap::new();
if let Some(key) = api_key {
builder = builder.api_key(key);
headers.insert(
"api-key",
key.parse().map_err(|_| RagError::Config("invalid Qdrant api-key".into()))?,
);
}
let client = builder
let client = reqwest::Client::builder()
.default_headers(headers)
.build()
.map_err(|e| RagError::Store(format!("failed to build qdrant client: {e}")))?;
.map_err(|e| RagError::Config(format!("failed to build HTTP client: {e}")))?;
Ok(Self {
client,
base_url: url.trim_end_matches('/').to_string(),
collection,
uuid_namespace,
})
}
/// Check whether the collection already exists.
/// GET /collections/{name} → true if 200, false if 404.
pub async fn collection_exists(&self) -> Result<bool, RagError> {
self.client
.collection_exists(&self.collection)
.await
.map_err(|e| RagError::Store(format!("collection_exists failed: {e}")))
let url = format!("{}/collections/{}", self.base_url, self.collection);
let resp = self.client.get(&url).send().await?;
match resp.status().as_u16() {
200 => Ok(true),
404 => Ok(false),
s => Err(RagError::Store(format!("collection_exists: unexpected HTTP {s}"))),
}
}
/// Create the collection with cosine distance, HNSW m=16/ef_construct=200,
/// and payload indexes on `url` + `domain`.
/// PUT /collections/{name} — create with Cosine/HNSW + payload indexes.
pub async fn create_collection(&self, dims: usize) -> Result<(), RagError> {
let hnsw = HnswConfigDiffBuilder::default()
.m(16)
.ef_construct(200)
.build();
let url = format!("{}/collections/{}", self.base_url, self.collection);
let body = json!({
"vectors": {
"size": dims,
"distance": "Cosine",
"on_disk": true,
"hnsw_config": { "m": 16, "ef_construct": 200 }
},
"on_disk_payload": true
});
let vectors = VectorParamsBuilder::new(dims as u64, Distance::Cosine)
.on_disk(true)
.hnsw_config(hnsw);
let resp = self.client.put(&url).json(&body).send().await?;
if !resp.status().is_success() {
let text = resp.text().await.unwrap_or_default();
return Err(RagError::Store(format!("create_collection failed: {text}")));
}
self.client
.create_collection(
CreateCollectionBuilder::new(&self.collection)
.vectors_config(vectors)
.on_disk_payload(true),
)
.await
.map_err(|e| RagError::Store(format!("create_collection failed: {e}")))?;
// Payload indexes for fast filtering by url and domain.
for field in ["url", "domain"] {
self.client
.create_field_index(CreateFieldIndexCollectionBuilder::new(
&self.collection,
field,
FieldType::Keyword,
))
.await
.map_err(|e| {
RagError::Store(format!("create_field_index({field}) failed: {e}"))
})?;
// Payload indexes for fast URL/domain filtering.
for (field, schema_type) in [("url", "keyword"), ("domain", "keyword")] {
let idx_url = format!(
"{}/collections/{}/index",
self.base_url, self.collection
);
let idx_body = json!({ "field_name": field, "field_schema": schema_type });
let r = self.client.put(&idx_url).json(&idx_body).send().await?;
if !r.status().is_success() {
let text = r.text().await.unwrap_or_default();
return Err(RagError::Store(format!(
"create_field_index({field}) failed: {text}"
)));
}
}
Ok(())
@ -95,86 +142,107 @@ impl QdrantStore {
#[async_trait]
impl VectorStore for QdrantStore {
/// Upsert points into the collection in batches of 256.
/// PUT /collections/{name}/points?wait=true in batches of 256.
async fn upsert(&self, points: Vec<Point>) -> Result<(), RagError> {
let url = format!(
"{}/collections/{}/points?wait=true",
self.base_url, self.collection
);
for chunk in points.chunks(256) {
let qdrant_points: Vec<PointStruct> = chunk
let qdrant_points: Vec<QdrantPoint> = chunk
.iter()
.map(|p| {
let mut payload = Payload::new();
payload.insert("text", p.payload.text.as_str());
payload.insert("url", p.payload.url.as_str());
payload.insert("domain", p.payload.domain.as_str());
payload.insert("chunk_index", p.payload.chunk_index as i64);
payload.insert("total_chunks", p.payload.total_chunks as i64);
payload.insert("token_estimate", p.payload.token_estimate as i64);
PointStruct::new(
p.id.to_string(), // UUID as string PointId
p.vector.clone(),
let mut payload = std::collections::HashMap::new();
payload.insert("text".into(), json!(p.payload.text));
payload.insert("url".into(), json!(p.payload.url));
payload.insert("domain".into(), json!(p.payload.domain));
payload.insert("chunk_index".into(), json!(p.payload.chunk_index));
payload.insert("total_chunks".into(), json!(p.payload.total_chunks));
payload.insert("token_estimate".into(), json!(p.payload.token_estimate));
QdrantPoint {
id: p.id.to_string(),
vector: p.vector.clone(),
payload,
)
}
})
.collect();
self.client
.upsert_points(
UpsertPointsBuilder::new(&self.collection, qdrant_points).wait(true),
)
.await
.map_err(|e| RagError::Store(format!("upsert_points failed: {e}")))?;
let resp = self
.client
.put(&url)
.json(&UpsertRequest { points: qdrant_points })
.send()
.await?;
if !resp.status().is_success() {
let text = resp.text().await.unwrap_or_default();
return Err(RagError::Store(format!("upsert failed: {text}")));
}
}
Ok(())
}
/// Delete all points whose `url` payload field matches the normalized URL.
/// POST /collections/{name}/points/delete?wait=true filtered by url payload.
async fn delete_by_url(&self, url: &str) -> Result<(), RagError> {
let normalized = normalize_url(url);
let endpoint = format!(
"{}/collections/{}/points/delete?wait=true",
self.base_url, self.collection
);
let body = DeleteByFilterRequest {
filter: json!({
"must": [{ "key": "url", "match": { "value": normalized } }]
}),
};
self.client
.delete_points(
DeletePointsBuilder::new(&self.collection)
.points(Filter::must([Condition::matches(
"url",
normalized.clone(),
)]))
.wait(true),
)
.await
.map_err(|e| RagError::Store(format!("delete_points failed: {e}")))?;
let resp = self.client.post(&endpoint).json(&body).send().await?;
if !resp.status().is_success() {
let text = resp.text().await.unwrap_or_default();
return Err(RagError::Store(format!("delete_by_url failed: {text}")));
}
Ok(())
}
/// Search for the nearest `limit` vectors and return their payloads.
/// POST /collections/{name}/points/search
async fn search(&self, vector: &[f32], limit: usize) -> Result<Vec<SearchResult>, RagError> {
let response = self
.client
.search_points(
SearchPointsBuilder::new(&self.collection, vector.to_vec(), limit as u64)
.with_payload(true),
)
.await
.map_err(|e| RagError::Store(format!("search_points failed: {e}")))?;
let url = format!(
"{}/collections/{}/points/search",
self.base_url, self.collection
);
let body = SearchRequest {
vector: vector.to_vec(),
limit,
with_payload: true,
score_threshold: None,
};
let resp = self.client.post(&url).json(&body).send().await?;
if !resp.status().is_success() {
let text = resp.text().await.unwrap_or_default();
return Err(RagError::Store(format!("search failed: {text}")));
}
let response: SearchResponse = resp.json().await?;
let results = response
.result
.into_iter()
.filter_map(|hit| {
let text = hit.get("text").as_str()?.to_string();
let url = hit.get("url").as_str()?.to_string();
let chunk_index = hit.get("chunk_index").as_integer().unwrap_or(0) as usize;
let token_estimate =
hit.get("token_estimate").as_integer().unwrap_or(0) as usize;
Some(SearchResult {
text,
url,
score: hit.score,
chunk_index,
token_estimate,
})
let payload = hit.payload?;
let text = payload.get("text")?.as_str()?.to_string();
let url = payload.get("url")?.as_str()?.to_string();
let chunk_index = payload
.get("chunk_index")
.and_then(|v| v.as_u64())
.unwrap_or(0) as usize;
let token_estimate = payload
.get("token_estimate")
.and_then(|v| v.as_u64())
.unwrap_or(0) as usize;
Some(SearchResult { text, url, score: hit.score, chunk_index, token_estimate })
})
.collect();
@ -186,13 +254,9 @@ impl VectorStore for QdrantStore {
}
}
/// Normalize a URL for consistent storage and lookup:
/// - Strip fragment
/// - Strip trailing slash from path
/// - Scheme and host are already lowercased by the `url` crate
/// Strip fragment, trailing path slash, lowercase scheme+host (url crate already does the latter).
fn normalize_url(url: &str) -> String {
use url::Url;
let Ok(mut parsed) = Url::parse(url) else {
let Ok(mut parsed) = url::Url::parse(url) else {
return url.to_string();
};
parsed.set_fragment(None);