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ragflow/test/unit_test/api/utils/test_oceanbase_health.py

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feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""
Unit tests for OceanBase health check and performance monitoring functionality.
"""
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
import inspect
import os
import types
import pytest
from unittest.mock import Mock, patch
from api.utils.health_utils import get_oceanbase_status, check_oceanbase_health
class TestOceanBaseHealthCheck:
"""Test cases for OceanBase health check functionality."""
@patch("api.utils.health_utils.OBConnection")
@patch.dict(os.environ, {"DOC_ENGINE": "oceanbase"})
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def test_get_oceanbase_status_success(self, mock_ob_class):
"""Test successful OceanBase status retrieval."""
# Setup mock
mock_ob_connection = Mock()
mock_ob_connection.uri = "localhost:2881"
mock_ob_connection.health.return_value = {"uri": "localhost:2881", "version_comment": "OceanBase 4.3.5.1", "status": "healthy", "connection": "connected"}
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_ob_connection.get_performance_metrics.return_value = {
"connection": "connected",
"latency_ms": 5.2,
"storage_used": "1.2MB",
"storage_total": "100GB",
"query_per_second": 150,
"slow_queries": 2,
"active_connections": 10,
"max_connections": 300,
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
}
mock_ob_class.return_value = mock_ob_connection
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
# Execute
result = get_oceanbase_status()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
# Assert
assert result["status"] == "alive"
assert "message" in result
assert "health" in result["message"]
assert "performance" in result["message"]
assert result["message"]["health"]["status"] == "healthy"
assert result["message"]["performance"]["latency_ms"] == 5.2
@patch.dict(os.environ, {"DOC_ENGINE": "elasticsearch"})
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def test_get_oceanbase_status_not_configured(self):
"""Test OceanBase status when not configured."""
with pytest.raises(Exception) as exc_info:
get_oceanbase_status()
assert "OceanBase is not in use" in str(exc_info.value)
@patch("api.utils.health_utils.OBConnection")
@patch.dict(os.environ, {"DOC_ENGINE": "oceanbase"})
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def test_get_oceanbase_status_connection_error(self, mock_ob_class):
"""Test OceanBase status when connection fails."""
mock_ob_class.side_effect = Exception("Connection failed")
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
result = get_oceanbase_status()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
assert result["status"] == "timeout"
assert "error" in result["message"]
@patch("api.utils.health_utils.OBConnection")
@patch.dict(os.environ, {"DOC_ENGINE": "oceanbase"})
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def test_check_oceanbase_health_healthy(self, mock_ob_class):
"""Test OceanBase health check returns healthy status."""
mock_ob_connection = Mock()
mock_ob_connection.health.return_value = {"uri": "localhost:2881", "version_comment": "OceanBase 4.3.5.1", "status": "healthy", "connection": "connected"}
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_ob_connection.get_performance_metrics.return_value = {
"connection": "connected",
"latency_ms": 5.2,
"storage_used": "1.2MB",
"storage_total": "100GB",
"query_per_second": 150,
"slow_queries": 0,
"active_connections": 10,
"max_connections": 300,
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
}
mock_ob_class.return_value = mock_ob_connection
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
result = check_oceanbase_health()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
assert result["status"] == "healthy"
assert result["details"]["connection"] == "connected"
assert result["details"]["latency_ms"] == 5.2
assert result["details"]["query_per_second"] == 150
@patch("api.utils.health_utils.OBConnection")
@patch.dict(os.environ, {"DOC_ENGINE": "oceanbase"})
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def test_check_oceanbase_health_degraded(self, mock_ob_class):
"""Test OceanBase health check returns degraded status for high latency."""
mock_ob_connection = Mock()
mock_ob_connection.health.return_value = {"uri": "localhost:2881", "version_comment": "OceanBase 4.3.5.1", "status": "healthy", "connection": "connected"}
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_ob_connection.get_performance_metrics.return_value = {
"connection": "connected",
"latency_ms": 1500.0, # High latency > 1000ms
"storage_used": "1.2MB",
"storage_total": "100GB",
"query_per_second": 50,
"slow_queries": 5,
"active_connections": 10,
"max_connections": 300,
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
}
mock_ob_class.return_value = mock_ob_connection
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
result = check_oceanbase_health()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
assert result["status"] == "degraded"
assert result["details"]["latency_ms"] == 1500.0
@patch("api.utils.health_utils.OBConnection")
@patch.dict(os.environ, {"DOC_ENGINE": "oceanbase"})
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def test_check_oceanbase_health_unhealthy(self, mock_ob_class):
"""Test OceanBase health check returns unhealthy status."""
mock_ob_connection = Mock()
mock_ob_connection.health.return_value = {"uri": "localhost:2881", "status": "unhealthy", "connection": "disconnected", "error": "Connection timeout"}
mock_ob_connection.get_performance_metrics.return_value = {"connection": "disconnected", "error": "Connection timeout"}
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_ob_class.return_value = mock_ob_connection
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
result = check_oceanbase_health()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
assert result["status"] == "unhealthy"
assert result["details"]["connection"] == "disconnected"
assert "error" in result["details"]
@patch.dict(os.environ, {"DOC_ENGINE": "elasticsearch"})
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def test_check_oceanbase_health_not_configured(self):
"""Test OceanBase health check when not configured."""
result = check_oceanbase_health()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
assert result["status"] == "not_configured"
assert result["details"]["connection"] == "not_configured"
assert "not configured" in result["details"]["message"].lower()
class TestOBConnectionPerformanceMetrics:
"""Test cases for OBConnection performance metrics methods."""
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def _create_mock_connection(self):
"""Create a mock OBConnection with actual methods."""
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
# Create a simple object and bind the real methods to it
class MockConn:
pass
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
conn = MockConn()
# Get the actual class from the singleton wrapper's closure
from rag.utils import ob_conn
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
# OBConnection is wrapped by @singleton decorator, so it's a function
# The original class is stored in the closure of the singleton function
# Find the class by checking all closure cells
ob_connection_class = None
if hasattr(ob_conn.OBConnection, "__closure__") and ob_conn.OBConnection.__closure__:
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
for cell in ob_conn.OBConnection.__closure__:
cell_value = cell.cell_contents
if inspect.isclass(cell_value):
ob_connection_class = cell_value
break
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
if ob_connection_class is None:
raise ValueError("Could not find OBConnection class in closure")
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
# Bind the actual methods to our mock object
conn.get_performance_metrics = types.MethodType(ob_connection_class.get_performance_metrics, conn)
conn._get_storage_info = types.MethodType(ob_connection_class._get_storage_info, conn)
conn._get_connection_pool_stats = types.MethodType(ob_connection_class._get_connection_pool_stats, conn)
conn._get_slow_query_count = types.MethodType(ob_connection_class._get_slow_query_count, conn)
conn._estimate_qps = types.MethodType(ob_connection_class._estimate_qps, conn)
return conn
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def test_get_performance_metrics_success(self):
"""Test successful retrieval of performance metrics."""
# Create mock connection with actual methods
conn = self._create_mock_connection()
mock_client = Mock()
conn.client = mock_client
conn.uri = "localhost:2881"
conn.db_name = "test"
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
# Mock client methods - create separate mock results for each call
mock_result1 = Mock()
mock_result1.fetchone.return_value = (1,)
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_result2 = Mock()
mock_result2.fetchone.return_value = (100.5,)
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_result3 = Mock()
mock_result3.fetchone.return_value = (100.0,)
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_result4 = Mock()
mock_result4.fetchall.return_value = [(1, "user", "host", "db", "Query", 0, "executing", "SELECT 1")]
mock_result4.fetchone.return_value = ("max_connections", "300")
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_result5 = Mock()
mock_result5.fetchone.return_value = (0,)
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_result6 = Mock()
mock_result6.fetchone.return_value = (5,)
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
# Setup side_effect to return different mocks for different queries
def sql_side_effect(query):
if "SELECT 1" in query:
return mock_result1
elif "information_schema.tables" in query:
return mock_result2
elif "__all_disk_stat" in query:
return mock_result3
elif "SHOW PROCESSLIST" in query:
return mock_result4
elif "SHOW VARIABLES LIKE 'max_connections'" in query:
return mock_result4
elif "information_schema.processlist" in query and "time >" in query:
return mock_result5
elif "information_schema.processlist" in query and "COUNT" in query:
return mock_result6
return Mock()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_client.perform_raw_text_sql.side_effect = sql_side_effect
mock_client.pool_size = 300
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
# Mock logger
import logging
conn.logger = logging.getLogger("test")
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
result = conn.get_performance_metrics()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
assert result["connection"] == "connected"
assert result["latency_ms"] >= 0
assert "storage_used" in result
assert "storage_total" in result
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def test_get_performance_metrics_connection_error(self):
"""Test performance metrics when connection fails."""
# Create mock connection with actual methods
conn = self._create_mock_connection()
mock_client = Mock()
conn.client = mock_client
conn.uri = "localhost:2881"
conn.logger = Mock()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_client.perform_raw_text_sql.side_effect = Exception("Connection failed")
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
result = conn.get_performance_metrics()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
assert result["connection"] == "disconnected"
assert "error" in result
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def test_get_storage_info_success(self):
"""Test successful retrieval of storage information."""
# Create mock connection with actual methods
conn = self._create_mock_connection()
mock_client = Mock()
conn.client = mock_client
conn.db_name = "test"
conn.logger = Mock()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_result1 = Mock()
mock_result1.fetchone.return_value = (100.5,)
mock_result2 = Mock()
mock_result2.fetchone.return_value = (100.0,)
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def sql_side_effect(query):
if "information_schema.tables" in query:
return mock_result1
elif "__all_disk_stat" in query:
return mock_result2
return Mock()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_client.perform_raw_text_sql.side_effect = sql_side_effect
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
result = conn._get_storage_info()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
assert "storage_used" in result
assert "storage_total" in result
assert "MB" in result["storage_used"]
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def test_get_storage_info_fallback(self):
"""Test storage info with fallback when total space unavailable."""
# Create mock connection with actual methods
conn = self._create_mock_connection()
mock_client = Mock()
conn.client = mock_client
conn.db_name = "test"
conn.logger = Mock()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
# First query succeeds, second fails
def side_effect(query):
if "information_schema.tables" in query:
mock_result = Mock()
mock_result.fetchone.return_value = (100.5,)
return mock_result
else:
raise Exception("Table not found")
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_client.perform_raw_text_sql.side_effect = side_effect
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
result = conn._get_storage_info()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
assert "storage_used" in result
assert "storage_total" in result
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def test_get_connection_pool_stats(self):
"""Test retrieval of connection pool statistics."""
# Create mock connection with actual methods
conn = self._create_mock_connection()
mock_client = Mock()
conn.client = mock_client
conn.logger = Mock()
mock_client.pool_size = 300
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_result1 = Mock()
mock_result1.fetchall.return_value = [(1, "user", "host", "db", "Query", 0, "executing", "SELECT 1"), (2, "user", "host", "db", "Sleep", 10, None, None)]
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_result2 = Mock()
mock_result2.fetchone.return_value = ("max_connections", "300")
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def sql_side_effect(query):
if "SHOW PROCESSLIST" in query:
return mock_result1
elif "SHOW VARIABLES LIKE 'max_connections'" in query:
return mock_result2
return Mock()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_client.perform_raw_text_sql.side_effect = sql_side_effect
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
result = conn._get_connection_pool_stats()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
assert "active_connections" in result
assert "max_connections" in result
assert result["active_connections"] >= 0
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def test_get_slow_query_count(self):
"""Test retrieval of slow query count."""
# Create mock connection with actual methods
conn = self._create_mock_connection()
mock_client = Mock()
conn.client = mock_client
conn.logger = Mock()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_result = Mock()
mock_result.fetchone.return_value = (5,)
mock_client.perform_raw_text_sql.return_value = mock_result
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
result = conn._get_slow_query_count(threshold_seconds=1)
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
assert isinstance(result, int)
assert result >= 0
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
def test_estimate_qps(self):
"""Test QPS estimation."""
# Create mock connection with actual methods
conn = self._create_mock_connection()
mock_client = Mock()
conn.client = mock_client
conn.logger = Mock()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
mock_result = Mock()
mock_result.fetchone.return_value = (10,)
mock_client.perform_raw_text_sql.return_value = mock_result
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
result = conn._estimate_qps()
feat: Add OceanBase Performance Monitoring and Health Check Integration (#12886) ## Description This PR implements comprehensive OceanBase performance monitoring and health check functionality as requested in issue #12772. The implementation follows the existing ES/Infinity health check patterns and provides detailed metrics for operations teams. ## Problem Currently, RAGFlow lacks detailed health monitoring for OceanBase when used as the document engine. Operations teams need visibility into: - Connection status and latency - Storage space usage - Query throughput (QPS) - Slow query statistics - Connection pool utilization ## Solution ### 1. Enhanced OBConnection Class (`rag/utils/ob_conn.py`) Added comprehensive performance monitoring methods: - `get_performance_metrics()` - Main method returning all performance metrics - `_get_storage_info()` - Retrieves database storage usage - `_get_connection_pool_stats()` - Gets connection pool statistics - `_get_slow_query_count()` - Counts queries exceeding threshold - `_estimate_qps()` - Estimates queries per second - Enhanced `health()` method with connection status ### 2. Health Check Utilities (`api/utils/health_utils.py`) Added two new functions following ES/Infinity patterns: - `get_oceanbase_status()` - Returns OceanBase status with health and performance metrics - `check_oceanbase_health()` - Comprehensive health check with detailed metrics ### 3. API Endpoint (`api/apps/system_app.py`) Added new endpoint: - `GET /v1/system/oceanbase/status` - Returns OceanBase health status and performance metrics ### 4. Comprehensive Unit Tests (`test/unit_test/utils/test_oceanbase_health.py`) Added 340+ lines of unit tests covering: - Health check success/failure scenarios - Performance metrics retrieval - Error handling and edge cases - Connection pool statistics - Storage information retrieval - QPS estimation - Slow query detection ## Metrics Provided - **Connection Status**: connected/disconnected - **Latency**: Query latency in milliseconds - **Storage**: Used and total storage space - **QPS**: Estimated queries per second - **Slow Queries**: Count of queries exceeding threshold - **Connection Pool**: Active connections, max connections, pool size ## Testing - All unit tests pass - Error handling tested for connection failures - Edge cases covered (missing tables, connection errors) - Follows existing code patterns and conventions ## Code Statistics - **Total Lines Changed**: 665+ lines - **New Code**: ~600 lines - **Test Coverage**: 340+ lines of comprehensive tests - **Files Modified**: 3 - **Files Created**: 1 (test file) ## Acceptance Criteria Met ✅ `/system/oceanbase/status` API returns OceanBase health status ✅ Monitoring metrics accurately reflect OceanBase running status ✅ Clear error messages when health checks fail ✅ Response time optimized (metrics cached where possible) ✅ Follows existing ES/Infinity health check patterns ✅ Comprehensive test coverage ## Related Files - `rag/utils/ob_conn.py` - OceanBase connection class - `api/utils/health_utils.py` - Health check utilities - `api/apps/system_app.py` - System API endpoints - `test/unit_test/utils/test_oceanbase_health.py` - Unit tests Fixes #12772 --------- Co-authored-by: Daniel <daniel@example.com>
2026-01-30 09:44:42 +08:00
assert isinstance(result, int)
assert result >= 0
if __name__ == "__main__":
pytest.main([__file__, "-v"])