clippy: adhere to pedantic clippy, uniform test error handling

main/src/main.rs

@@ -3,7 +3,7 @@ use axum::{extract::FromRef, Router};
 use common::{
     storage::{
         db::SurrealDbClient,
-        indexes::ensure_runtime_indexes,
+        indexes::ensure_runtime,
         store::StorageManager,
         types::{
             knowledge_entity::KnowledgeEntity, system_settings::SystemSettings,
@@ -12,7 +12,10 @@ use common::{
     },
     utils::{config::get_config, embedding::EmbeddingProvider},
 };
-use html_router::{html_routes, html_state::HtmlState};
+use html_router::{
+    html_routes,
+    html_state::{HtmlState, StateResources},
+};
 use ingestion_pipeline::{pipeline::IngestionPipeline, run_worker_loop};
 use retrieval_pipeline::reranking::RerankerPool;
 use std::sync::Arc;
@@ -21,19 +24,77 @@ use tracing_subscriber::{fmt, prelude::*, EnvFilter};
 
 use tokio::task::LocalSet;
 
+fn spawn_server_thread(
+    listener: tokio::net::TcpListener,
+    app: Router,
+) -> std::thread::JoinHandle<()> {
+    std::thread::spawn(move || {
+        let rt = match tokio::runtime::Runtime::new() {
+            Ok(rt) => rt,
+            Err(e) => {
+                error!("Failed to create server runtime: {e}");
+                return;
+            }
+        };
+        rt.block_on(async {
+            if let Err(e) = axum::serve(listener, app).await {
+                error!("Server error: {}", e);
+            }
+        });
+    })
+}
+
+async fn run_worker(
+    config: common::utils::config::AppConfig,
+    reranker_pool: Option<Arc<RerankerPool>>,
+    storage: StorageManager,
+) -> anyhow::Result<()> {
+    let worker_db = Arc::new(
+        SurrealDbClient::new(
+            &config.surrealdb_address,
+            &config.surrealdb_username,
+            &config.surrealdb_password,
+            &config.surrealdb_namespace,
+            &config.surrealdb_database,
+        )
+        .await?,
+    );
+
+    let openai_client = Arc::new(async_openai::Client::with_config(
+        async_openai::config::OpenAIConfig::new()
+            .with_api_key(&config.openai_api_key)
+            .with_api_base(&config.openai_base_url),
+    ));
+
+    let embedding_provider = Arc::new(
+        EmbeddingProvider::from_config(&config, Some(Arc::clone(&openai_client))).await?,
+    );
+
+    let ingestion_pipeline = Arc::new(
+        IngestionPipeline::new(
+            Arc::clone(&worker_db),
+            openai_client,
+            config,
+            reranker_pool,
+            storage,
+            embedding_provider,
+        )?,
+    );
+
+    info!("Starting worker process");
+    run_worker_loop(worker_db, ingestion_pipeline).await
+}
+
 #[tokio::main]
 async fn main() -> anyhow::Result<()> {
-    // Set up tracing
     tracing_subscriber::registry()
         .with(fmt::layer().with_writer(std::io::stderr))
         .with(EnvFilter::from_default_env())
         .try_init()
         .ok();
 
-    // Get config
     let config = get_config()?;
 
-    // Set up router states
     let db = Arc::new(
         SurrealDbClient::new(
             &config.surrealdb_address,
@@ -45,7 +106,6 @@ async fn main() -> anyhow::Result<()> {
         .await?,
     );
 
-    // Ensure db is initialized
     db.apply_migrations().await?;
 
     let session_store = Arc::new(db.create_session_store().await?);
@@ -55,27 +115,23 @@ async fn main() -> anyhow::Result<()> {
             .with_api_base(&config.openai_base_url),
     ));
 
-    // Create embedding provider based on config before syncing settings.
     let embedding_provider =
-        Arc::new(EmbeddingProvider::from_config(&config, Some(openai_client.clone())).await?);
+        Arc::new(EmbeddingProvider::from_config(&config, Some(Arc::clone(&openai_client))).await?);
     info!(
         embedding_backend = ?config.embedding_backend,
         embedding_dimension = embedding_provider.dimension(),
         "Embedding provider initialized"
     );
 
-    // Sync SystemSettings with provider's dimensions/model/backend
     let (settings, dimensions_changed) =
         SystemSettings::sync_from_embedding_provider(&db, &embedding_provider).await?;
 
-    // If dimensions changed, re-embed existing data to keep queries working.
     if dimensions_changed {
         warn!(
             new_dimensions = settings.embedding_dimensions,
             "Embedding configuration changed; re-embedding existing data"
         );
 
-        // Re-embed text chunks
         info!("Re-embedding TextChunks");
         if let Err(e) =
             TextChunk::update_all_embeddings_with_provider(&db, &embedding_provider).await
@@ -86,7 +142,6 @@ async fn main() -> anyhow::Result<()> {
             );
         }
 
-        // Re-embed knowledge entities
         info!("Re-embedding KnowledgeEntities");
         if let Err(e) =
             KnowledgeEntity::update_all_embeddings_with_provider(&db, &embedding_provider).await
@@ -100,29 +155,25 @@ async fn main() -> anyhow::Result<()> {
         info!("Re-embedding complete.");
     }
 
-    // Now ensure runtime indexes with the correct (synced) dimensions
-    ensure_runtime_indexes(&db, settings.embedding_dimensions as usize).await?;
+    ensure_runtime(&db, settings.embedding_dimensions as usize).await?;
 
     let reranker_pool = RerankerPool::maybe_from_config(&config)?;
 
-    // Create global storage manager
     let storage = StorageManager::new(&config).await?;
 
-    let html_state = HtmlState::new_with_resources(
+        let html_state = HtmlState::new_with_resources(StateResources {
         db,
         openai_client,
         session_store,
-        storage.clone(),
-        config.clone(),
-        reranker_pool.clone(),
-        embedding_provider.clone(),
-        None,
-    )
-    .await;
+        storage: storage.clone(),
+        config: config.clone(),
+        reranker_pool: reranker_pool.clone(),
+        embedding_provider: Arc::clone(&embedding_provider),
+        template_engine: None,
+    });
 
     let api_state = ApiState::new(&config, storage.clone()).await?;
 
-    // Create Axum router
     let app = Router::new()
         .nest("/api/v1", api_routes_v1(&api_state))
         .merge(html_routes(&html_state))
@@ -135,72 +186,16 @@ async fn main() -> anyhow::Result<()> {
     let serve_address = format!("0.0.0.0:{}", config.http_port);
     let listener = tokio::net::TcpListener::bind(serve_address).await?;
 
-    // Start the server in a separate OS thread with its own runtime
-    let server_handle = std::thread::spawn(move || {
-        let rt = tokio::runtime::Runtime::new().unwrap();
-        rt.block_on(async {
-            if let Err(e) = axum::serve(listener, app).await {
-                error!("Server error: {}", e);
-            }
-        });
-    });
+    let server_handle = spawn_server_thread(listener, app);
 
-    // Create a LocalSet for the worker
     let local = LocalSet::new();
-
-    // Use a clone of the config for the worker
-    let worker_config = config.clone();
-
-    // Run the worker in the local set
     local.spawn_local(async move {
-        // Create worker db connection
-        let worker_db = Arc::new(
-            SurrealDbClient::new(
-                &worker_config.surrealdb_address,
-                &worker_config.surrealdb_username,
-                &worker_config.surrealdb_password,
-                &worker_config.surrealdb_namespace,
-                &worker_config.surrealdb_database,
-            )
-            .await
-            .unwrap(),
-        );
-
-        // Initialize worker components
-        let openai_client = Arc::new(async_openai::Client::with_config(
-            async_openai::config::OpenAIConfig::new()
-                .with_api_key(&config.openai_api_key)
-                .with_api_base(&config.openai_base_url),
-        ));
-
-        // Create embedding provider based on config
-        let embedding_provider = Arc::new(
-            EmbeddingProvider::from_config(&config, Some(openai_client.clone()))
-                .await
-                .expect("failed to create embedding provider"),
-        );
-        let ingestion_pipeline = Arc::new(
-            IngestionPipeline::new(
-                worker_db.clone(),
-                openai_client.clone(),
-                config.clone(),
-                reranker_pool.clone(),
-                storage.clone(),
-                embedding_provider,
-            )
-            .unwrap(),
-        );
-
-        info!("Starting worker process");
-        if let Err(e) = run_worker_loop(worker_db, ingestion_pipeline).await {
-            error!("Worker process error: {}", e);
+        if let Err(e) = run_worker(config, reranker_pool, storage).await {
+            error!("Worker error: {}", e);
         }
     });
-
-    // Run the local set on the main thread
     local.await;
 
-    // Wait for the server thread to finish (this likely won't be reached)
     if let Err(e) = server_handle.join() {
         error!("Server thread panicked: {:?}", e);
     }
@@ -253,52 +248,39 @@ mod tests {
         let namespace = "test_ns";
         let database = format!("test_db_{}", Uuid::new_v4());
         let data_dir = std::env::temp_dir().join(format!("minne_smoke_{}", Uuid::new_v4()));
-
-        tokio::fs::create_dir_all(&data_dir)
-            .await
+        tokio::fs::create_dir_all(&data_dir).await
             .expect("failed to create temp data directory");
 
         let config = smoke_test_config(namespace, &database, &data_dir);
-        let db = Arc::new(
-            SurrealDbClient::memory(namespace, &database)
-                .await
-                .expect("failed to start in-memory surrealdb"),
-        );
-        db.apply_migrations()
-            .await
-            .expect("failed to apply migrations");
+        let db = Arc::new(SurrealDbClient::memory(namespace, &database).await?);
+        db.apply_migrations().await?;
 
-        let session_store = Arc::new(db.create_session_store().await.expect("session store"));
+        let session_store = Arc::new(db.create_session_store().await?);
         let openai_client = Arc::new(async_openai::Client::with_config(
             async_openai::config::OpenAIConfig::new()
                 .with_api_key(&config.openai_api_key)
                 .with_api_base(&config.openai_base_url),
         ));
 
-        let storage = StorageManager::new(&config)
-            .await
-            .expect("failed to build storage manager");
+        let storage = StorageManager::new(&config).await?;
 
-        // Use hashed embeddings for tests to avoid external dependencies
         let embedding_provider = Arc::new(
-            common::utils::embedding::EmbeddingProvider::new_hashed(384)
-                .expect("failed to create hashed embedding provider"),
+            common::utils::embedding::EmbeddingProvider::new_hashed(384)?,
         );
 
-        let html_state = HtmlState::new_with_resources(
-            db.clone(),
+    let html_state = HtmlState::new_with_resources(StateResources {
+            db: Arc::clone(&db),
             openai_client,
             session_store,
-            storage.clone(),
-            config.clone(),
-            None,
+            storage: storage.clone(),
+            config: config.clone(),
+            reranker_pool: None,
             embedding_provider,
-            None,
-        )
-        .await;
+            template_engine: None,
+        });
 
         let api_state = ApiState {
-            db: db.clone(),
+            db: Arc::clone(&db),
             config: config.clone(),
             storage,
         };
@@ -376,25 +358,22 @@ mod tests {
             .oneshot(
                 Request::builder()
                     .uri("/api/v1/live")
-                    .body(Body::empty())
-                    .expect("request"),
+                    .body(Body::empty())?,
             )
-            .await
-            .expect("router response");
+            .await?;
         assert_eq!(response.status(), StatusCode::OK);
 
         let ready_response = app
             .oneshot(
                 Request::builder()
                     .uri("/api/v1/ready")
-                    .body(Body::empty())
-                    .expect("request"),
+                    .body(Body::empty())?,
             )
-            .await
-            .expect("ready response");
+            .await?;
         assert_eq!(ready_response.status(), StatusCode::OK);
 
         tokio::fs::remove_dir_all(&data_dir).await.ok();
+        Ok(())
     }
 
     #[tokio::test(flavor = "multi_thread", worker_threads = 2)]

main/src/server.rs

@@ -6,7 +6,10 @@ use common::{
     storage::{db::SurrealDbClient, store::StorageManager, types::system_settings::SystemSettings},
     utils::{config::get_config, embedding::EmbeddingProvider},
 };
-use html_router::{html_routes, html_state::HtmlState};
+use html_router::{
+    html_routes,
+    html_state::{HtmlState, StateResources},
+};
 use retrieval_pipeline::reranking::RerankerPool;
 use tracing::info;
 use tracing_subscriber::{fmt, prelude::*, EnvFilter};
@@ -52,7 +55,7 @@ async fn main() -> anyhow::Result<()> {
 
     // Create embedding provider based on config
     let embedding_provider =
-        Arc::new(EmbeddingProvider::from_config(&config, Some(openai_client.clone())).await?);
+        Arc::new(EmbeddingProvider::from_config(&config, Some(Arc::clone(&openai_client))).await?);
     info!(
         embedding_backend = ?config.embedding_backend,
         embedding_dimension = embedding_provider.dimension(),
@@ -63,17 +66,16 @@ async fn main() -> anyhow::Result<()> {
     let (_settings, _dimensions_changed) =
         SystemSettings::sync_from_embedding_provider(&db, &embedding_provider).await?;
 
-    let html_state = HtmlState::new_with_resources(
+    let html_state = HtmlState::new_with_resources(StateResources {
         db,
         openai_client,
         session_store,
-        storage.clone(),
-        config.clone(),
+        storage: storage.clone(),
+        config: config.clone(),
         reranker_pool,
         embedding_provider,
-        None,
-    )
-    .await;
+        template_engine: None,
+    });
 
     let api_state = ApiState::new(&config, storage).await?;
 

main/src/worker.rs

@@ -42,7 +42,7 @@ async fn main() -> anyhow::Result<()> {
 
     // Create embedding provider based on config
     let embedding_provider =
-        Arc::new(EmbeddingProvider::from_config(&config, Some(openai_client.clone())).await?);
+        Arc::new(EmbeddingProvider::from_config(&config, Some(Arc::clone(&openai_client))).await?);
     info!(
         embedding_backend = ?config.embedding_backend,
         "Embedding provider initialized for worker"
@@ -52,8 +52,8 @@ async fn main() -> anyhow::Result<()> {
     let storage = StorageManager::new(&config).await?;
 
     let ingestion_pipeline = Arc::new(IngestionPipeline::new(
-        db.clone(),
-        openai_client.clone(),
+        Arc::clone(&db),
+        Arc::clone(&openai_client),
         config,
         reranker_pool,
         storage,