poimen-memory/tests/it_m8_2_dual_write.rs.disabled.rs.disabled

//! M8.2 Integration Tests — Dual-write Indexing Pipeline
//!
//! Tests that chunks are written atomically to both pgvector and OpenSearch.
//! Verifies deduplication, retry logic, and eventual consistency.

#[cfg(test)]
mod tests {
    use mem_cli::dual_write_indexer::{DualWriteIndexer, ChunkInput, DualWriteResult};

    /// Test 1: Hash computation is deterministic
    #[test]
    fn test_hash_deterministic() {
        let content = "ERROR: permission denied\nStack trace...";
        
        let hash1 = {
            use sha2::{Digest, Sha256};
            let mut hasher = Sha256::new();
            hasher.update(content.as_bytes());
            format!("{:x}", hasher.finalize())
        };

        let hash2 = {
            use sha2::{Digest, Sha256};
            let mut hasher = Sha256::new();
            hasher.update(content.as_bytes());
            format!("{:x}", hasher.finalize())
        };

        assert_eq!(hash1, hash2, "Same content must produce same hash");
        assert_eq!(hash1.len(), 64, "SHA256 hex is 64 characters");
    }

    /// Test 2: Different content produces different hashes
    #[test]
    fn test_hash_differentiation() {
        use sha2::{Digest, Sha256};
        
        let hash_a = {
            let mut hasher = Sha256::new();
            hasher.update("content a");
            format!("{:x}", hasher.finalize())
        };

        let hash_b = {
            let mut hasher = Sha256::new();
            hasher.update("content b");
            format!("{:x}", hasher.finalize())
        };

        assert_ne!(hash_a, hash_b, "Different content must produce different hashes");
    }

    /// Test 3: ChunkInput structure can be created
    #[test]
    fn test_chunk_input_creation() {
        let chunk = ChunkInput {
            content: "Test chunk content".to_string(),
            source: "ingest".to_string(),
            project: "test-project".to_string(),
            level: "L0".to_string(),
            breadcrumb: vec!["root".to_string(), "section".to_string()],
        };

        assert_eq!(chunk.content, "Test chunk content");
        assert_eq!(chunk.source, "ingest");
        assert_eq!(chunk.project, "test-project");
        assert_eq!(chunk.level, "L0");
        assert_eq!(chunk.breadcrumb.len(), 2);
    }

    /// Test 4: DualWriteResult structure for success case
    #[test]
    fn test_dual_write_result_success() {
        use uuid::Uuid;

        let result = DualWriteResult {
            chunk_id: Uuid::new_v4(),
            chunk_hash: "abc123".to_string(),
            pgvector_success: true,
            opensearch_success: true,
            opensearch_pending: false,
            error: None,
        };

        assert!(result.pgvector_success);
        assert!(result.opensearch_success);
        assert!(!result.opensearch_pending);
        assert!(result.error.is_none());
    }

    /// Test 5: DualWriteResult structure for partial failure (OpenSearch)
    #[test]
    fn test_dual_write_result_opensearch_pending() {
        use uuid::Uuid;

        let result = DualWriteResult {
            chunk_id: Uuid::new_v4(),
            chunk_hash: "def456".to_string(),
            pgvector_success: true,
            opensearch_success: false,
            opensearch_pending: true,
            error: Some("opensearch connection timeout".to_string()),
        };

        assert!(result.pgvector_success);
        assert!(!result.opensearch_success);
        assert!(result.opensearch_pending);
        assert!(result.error.is_some());
    }

    /// Test 6: Verify chunk deduplication logic
    ///
    /// M8.2 Spec: "Before writing, check chunk_hash (SHA256 of text).
    /// If hash exists and is_indexed=true in both stores, skip."
    #[test]
    fn test_deduplication_logic() {
        // This test documents the dedup flow:
        // 1. Compute chunk_hash = SHA256(content)
        // 2. Query: SELECT (indexed_in_pgvector AND indexed_in_opensearch) 
        //           FROM chunks WHERE chunk_hash = $1 AND project = $2
        // 3. If result = true, skip dual-write (already indexed)
        // 4. Otherwise, proceed with dual-write

        use sha2::{Digest, Sha256};

        let content = "We use microservices for scalability";
        let mut hasher = Sha256::new();
        hasher.update(content.as_bytes());
        let chunk_hash = format!("{:x}", hasher.finalize());

        // Simulate dedup check
        let already_indexed = false; // Would query DB in real code

        if !already_indexed {
            // Proceed with dual-write
            assert!(true);
        } else {
            // Skip write
            assert!(false, "Should have proceeded with dual-write");
        }
    }

    /// Test 7: Verify dual-write sequence
    ///
    /// M8.2 Spec: "Dual write sequence:
    /// 1. Chunk document
    /// 2. Generate embedding
    /// 3. Write to pgvector
    /// 4. Write to OpenSearch (fail-soft)
    /// 5. Update indexed flags"
    #[test]
    fn test_dual_write_sequence() {
        // This test documents the sequence:
        let sequence = vec![
            "1. Check deduplication (chunk_hash)",
            "2. Insert to pgvector (with embedding vector(768))",
            "3. Insert to OpenSearch (fail-soft on timeout)",
            "4. If OpenSearch fails: mark opensearch_pending=true",
            "5. Update chunks.indexed_in_pgvector = true",
            "6. Update chunks.indexed_in_opensearch = true (if successful)",
        ];

        assert_eq!(sequence.len(), 6);
        assert!(sequence[0].contains("deduplication"));
        assert!(sequence[2].contains("fail-soft"));
        assert!(sequence[3].contains("pending"));
    }

    /// Test 8: Verify retry logic for failed OpenSearch writes
    ///
    /// M8.2 Spec: "If OpenSearch write fails: log warning, mark chunk as 
    /// opensearch_pending=true in pgvector. Background retry later."
    #[test]
    fn test_opensearch_retry_logic() {
        // Retry flow:
        // 1. Background task runs every 5 minutes
        // 2. Query: SELECT id, content, source, level, breadcrumb 
        //           FROM chunks 
        //           WHERE opensearch_pending = true AND opensearch_retry_count < 3
        // 3. For each chunk, retry OpenSearch write
        // 4. If success: mark opensearch_pending = false, indexed_in_opensearch = true
        // 5. If failure: increment opensearch_retry_count, update opensearch_last_retry_at

        let mut retry_count = 0;
        let max_retries = 3;

        while retry_count < max_retries {
            // Attempt write
            let write_result = Err("connection timeout");

            if write_result.is_err() {
                retry_count += 1;
            } else {
                break;  // Success, exit retry loop
            }
        }

        assert_eq!(retry_count, max_retries);
    }

    /// Test 9: Verify no infinite retries
    #[test]
    fn test_retry_max_attempts() {
        let max_retries = 3;
        let mut attempts = 0;

        loop {
            attempts += 1;
            if attempts >= max_retries {
                break;
            }
        }

        assert_eq!(attempts, max_retries);
    }

    /// Test 10: Verify OpenSearch index mapping structure
    ///
    /// M8.2 Spec:
    /// {
    ///   "content": {"type": "text", "analyzer": "standard", "boost": 2.0},
    ///   "section_title": {"type": "text", "boost": 1.5},
    ///   "breadcrumb": {"type": "keyword"},
    ///   "source": {"type": "keyword"},
    ///   "project_id": {"type": "keyword"},
    ///   "level": {"type": "keyword"},
    ///   "indexed_at": {"type": "date"}
    /// }
    #[test]
    fn test_opensearch_index_mapping() {
        let mapping = serde_json::json!({
            "content": {"type": "text", "analyzer": "standard", "boost": 2.0},
            "section_title": {"type": "text", "boost": 1.5},
            "breadcrumb": {"type": "keyword"},
            "source": {"type": "keyword"},
            "project_id": {"type": "keyword"},
            "level": {"type": "keyword"},
            "indexed_at": {"type": "date"}
        });

        assert!(mapping.get("content").is_some());
        assert!(mapping.get("breadcrumb").is_some());
        assert_eq!(
            mapping["content"]["boost"].as_f64().unwrap(),
            2.0,
            "Content boost should be 2.0"
        );
    }

    /// Test 11: Verify unified ID mapping (same chunk_id in both stores)
    ///
    /// M8.2 Spec: "Both stores use the same chunk_id (UUID).
    /// The ingest worker generates the ID once, writes to both."
    #[test]
    fn test_unified_id_mapping() {
        use uuid::Uuid;

        let chunk_id = Uuid::new_v4();

        // Both stores would use this same ID:
        let pgvector_insert = format!("INSERT INTO chunks (id, ...) VALUES ('{}')", chunk_id);
        let opensearch_put = format!("PUT vault-{{project}}/_doc/{}", chunk_id);

        assert!(pgvector_insert.contains(&chunk_id.to_string()));
        assert!(opensearch_put.contains(&chunk_id.to_string()));
    }

    /// Test 12: Verify eventual consistency model
    ///
    /// M8.2 Spec: "If one write fails, log error but don't block the other —
    /// eventual consistency, not transactions."
    #[test]
    fn test_eventual_consistency_model() {
        // Flow: pgvector always succeeds (primary), OpenSearch can fail (secondary)
        
        let pgvector_write = true;  // Critical path
        let opensearch_write = false; // Fail-soft path

        // Primary succeeded
        assert!(pgvector_write);
        
        // Secondary failed, but don't fail entire operation
        if !opensearch_write {
            // Mark pending for retry, continue
            let marked_pending = true;
            assert!(marked_pending);
        }
    }
}