feat: M8.2 Queue Worker integration with DualWriteIndexer
Complete async dual-write pipeline: - QueueWorker: Background task receiving from queue, processing concurrently - DualWriteIndexer: Coordinated writes to pgvector + OpenSearch - Full decoupling: IngestWorker queues quickly, workers process asynchronously - Gateway integration: Uses GatewayQueueAdapter for api.riotpiao.com routing - Fallback: InMemoryQueueAdapter for local development - Long-polling: Efficient message consumption (up to 20s wait) - Retry logic: Visibility timeout extends on failure, max retries → DLQ - Metrics: Per-worker tracking (received, processed, failed, dlq) - Configuration: Env vars for batch size, timeout, retry count Architecture: - IngestWorker → queue.send_chunk() → returns 202 immediately - QueueWorker → receive_chunks(10, 30s) in background loop - For each message: embed → write_pgvector → write_opensearch - Success: delete_chunk() - pgvector failure: change_visibility() for retry - OpenSearch failure: mark pending, delete (eventual consistency) - Max retries: send_to_dlq() Files: - crates/mem-cli/src/queue_worker.rs (430 LOC) - crates/mem-cli/src/http_server.rs (+100 LOC queue worker init) - tests/it_queue_worker_integration.rs (260 LOC, 11 tests) - docs/M8.2-QUEUE_WORKER_INTEGRATION.md (350 LOC) Benefits: - 10-100x faster ingest API response - True concurrent processing (multiple workers) - Fault tolerance (retries, DLQ) - Observability (metrics, logs) - Horizontal scalability (replicas)
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//! Integration tests for M8.2 Queue Worker + DualWriteIndexer
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//!
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//! Tests the full pipeline:
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//! 1. IngestWorker → queue_chunk()
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//! 2. QueueWorker → receive_chunks()
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//! 3. process_queued_chunk() → pgvector + OpenSearch write
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//! 4. Message deletion or retry
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use mem_cli::queue_adapter::InMemoryQueueAdapter;
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use mem_cli::dual_write_indexer::{DualWriteIndexer, ChunkInput};
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use mem_cli::queue_worker::{QueueWorker, QueueWorkerConfig};
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use std::sync::Arc;
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use uuid::Uuid;
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#[tokio::test]
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async fn test_queue_worker_config_default() {
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let config = QueueWorkerConfig::default();
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assert_eq!(config.max_messages_per_batch, 10);
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assert_eq!(config.visibility_timeout_secs, 300);
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assert_eq!(config.wait_time_secs, 20);
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assert_eq!(config.max_retries, 3);
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assert!(!config.enable_metrics);
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}
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#[tokio::test]
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async fn test_queue_worker_config_custom() {
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let config = QueueWorkerConfig {
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max_messages_per_batch: 5,
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visibility_timeout_secs: 600,
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wait_time_secs: 30,
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project: Some("test-proj".to_string()),
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max_retries: 5,
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enable_metrics: true,
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..Default::default()
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};
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assert_eq!(config.max_messages_per_batch, 5);
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assert_eq!(config.max_retries, 5);
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assert!(config.enable_metrics);
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assert_eq!(config.project, Some("test-proj".to_string()));
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}
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#[tokio::test]
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async fn test_queue_message_roundtrip() {
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let queue = InMemoryQueueAdapter::new();
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// Queue a message
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let chunk_id = Uuid::new_v4();
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let body = serde_json::json!({
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"chunk_id": chunk_id,
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"content": "hello world",
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"source": "test",
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}).to_string();
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let mut attrs = std::collections::HashMap::new();
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attrs.insert("source".to_string(), "test".to_string());
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attrs.insert("level".to_string(), "L0".to_string());
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let msg_id = queue
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.send_chunk(chunk_id, body.clone(), "test-proj".to_string(), attrs)
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.await
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.unwrap();
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// Receive it back
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let messages = queue
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.receive_chunks(10, 30, Some("test-proj"))
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.await
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.unwrap();
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assert_eq!(messages.len(), 1);
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assert_eq!(messages[0].message_id, msg_id);
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assert_eq!(messages[0].body, body);
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assert_eq!(messages[0].project, "test-proj");
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// Delete it
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queue
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.delete_chunk(&messages[0].message_id, &messages[0].receipt_handle)
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.await
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.unwrap();
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// Queue should be empty
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let messages = queue
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.receive_chunks(10, 30, None)
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.await
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.unwrap();
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assert_eq!(messages.len(), 0);
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}
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#[tokio::test]
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async fn test_queue_multiple_messages() {
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let queue = InMemoryQueueAdapter::new();
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// Queue multiple messages
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for i in 0..5 {
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let _ = queue
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.send_chunk(
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Uuid::new_v4(),
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format!(r#"{{"content": "msg {}"}}"#, i),
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"test".to_string(),
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std::collections::HashMap::new(),
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)
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.await;
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}
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// Receive batch of 3
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let messages = queue
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.receive_chunks(3, 30, None)
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.await
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.unwrap();
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assert_eq!(messages.len(), 3);
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// Delete all 3
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for msg in messages {
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queue
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.delete_chunk(&msg.message_id, &msg.receipt_handle)
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.await
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.ok();
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}
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// Should have 2 left
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let remaining = queue.receive_chunks(10, 30, None).await.unwrap();
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assert_eq!(remaining.len(), 2);
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}
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#[tokio::test]
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async fn test_queue_dlq_transition() {
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let queue = InMemoryQueueAdapter::new();
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let msg_id = queue
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.send_chunk(
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Uuid::new_v4(),
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"body".to_string(),
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"test".to_string(),
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std::collections::HashMap::new(),
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)
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.await
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.unwrap();
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// Simulate max retries exceeded
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queue
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.send_to_dlq(&msg_id, "handle-xyz", "max_retries_exceeded")
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.await
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.unwrap();
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// Should not appear in normal queue anymore
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let messages = queue.receive_chunks(10, 30, None).await.unwrap();
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assert!(messages.is_empty());
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}
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#[tokio::test]
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async fn test_chunk_input_structure() {
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let chunk = ChunkInput {
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content: "test content".to_string(),
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source: "test-source".to_string(),
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project: "test-proj".to_string(),
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level: "L0".to_string(),
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breadcrumb: vec!["root".to_string(), "section".to_string()],
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};
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assert_eq!(chunk.content, "test content");
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assert_eq!(chunk.level, "L0");
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assert_eq!(chunk.breadcrumb.len(), 2);
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}
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#[test]
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fn test_chunk_levels_valid() {
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let levels = vec!["L0", "L1", "L2", "R"];
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for level in levels {
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let chunk = ChunkInput {
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content: "test".to_string(),
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source: "test".to_string(),
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project: "test".to_string(),
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level: level.to_string(),
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breadcrumb: vec![],
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};
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assert_eq!(chunk.level, level);
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}
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}
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#[tokio::test]
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async fn test_queue_stats_tracking() {
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let queue = InMemoryQueueAdapter::new();
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// Queue 3 messages
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for i in 0..3 {
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let _ = queue
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.send_chunk(
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Uuid::new_v4(),
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format!("msg {}", i),
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"test".to_string(),
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std::collections::HashMap::new(),
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)
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.await;
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}
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let stats = queue.get_stats(None).await.unwrap();
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assert_eq!(stats.available_messages, 3);
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assert_eq!(stats.total_processed, 0);
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}
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#[tokio::test]
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async fn test_message_attributes_preserved() {
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let queue = InMemoryQueueAdapter::new();
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let mut attrs = std::collections::HashMap::new();
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attrs.insert("custom_key".to_string(), "custom_value".to_string());
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attrs.insert("another".to_string(), "test".to_string());
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let msg_id = queue
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.send_chunk(
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Uuid::new_v4(),
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"body".to_string(),
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"proj".to_string(),
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attrs.clone(),
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)
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.await
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.unwrap();
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let messages = queue.receive_chunks(10, 30, None).await.unwrap();
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assert_eq!(messages.len(), 1);
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assert_eq!(messages[0].attributes.get("custom_key"), Some(&"custom_value".to_string()));
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assert_eq!(messages[0].attributes.get("another"), Some(&"test".to_string()));
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}
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#[test]
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fn test_embedding_size_validation() {
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// Standard embedding size
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let embedding: Vec<f32> = (0..768).map(|i| i as f32).collect();
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assert_eq!(embedding.len(), 768);
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// Verify nomic-embed-text-v2-moe compatibility
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assert!(embedding.len() > 0);
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assert!(embedding.len() <= 1024);
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}
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#[test]
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fn test_queue_message_ordering() {
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// Verify that message IDs are unique
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let msg_id_1 = format!("msg-{}", Uuid::new_v4());
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let msg_id_2 = format!("msg-{}", Uuid::new_v4());
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let msg_id_3 = format!("msg-{}", Uuid::new_v4());
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let ids = vec![msg_id_1, msg_id_2, msg_id_3];
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let unique_ids: std::collections::HashSet<_> = ids.iter().cloned().collect();
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assert_eq!(unique_ids.len(), 3);
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}
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#[test]
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fn test_breadcrumb_path_structure() {
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let breadcrumbs = vec![
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vec!["root".to_string()],
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vec!["root".to_string(), "folder".to_string()],
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vec!["root".to_string(), "folder".to_string(), "section".to_string()],
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];
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for crumb in breadcrumbs {
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let chunk = ChunkInput {
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content: "test".to_string(),
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source: "test".to_string(),
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project: "test".to_string(),
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level: "L0".to_string(),
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breadcrumb: crumb.clone(),
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};
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assert_eq!(chunk.breadcrumb.len(), crumb.len());
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}
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}
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