diff --git a/HEALTH_CHECK_IMPLEMENTATION.md b/HEALTH_CHECK_IMPLEMENTATION.md deleted file mode 100644 index 2008ddede..000000000 --- a/HEALTH_CHECK_IMPLEMENTATION.md +++ /dev/null @@ -1,200 +0,0 @@ -# Cognee Health Check System Implementation - -## Overview - -This implementation provides a comprehensive health check system for the Cognee API that monitors all critical backend components and provides detailed health status information for production deployments, container orchestration, and monitoring systems. - -## Implementation Files - -### 1. `/cognee/api/health.py` -- **HealthChecker class**: Main health checking logic -- **Health models**: Pydantic models for structured responses -- **Component checkers**: Individual health check methods for each service - -### 2. `/cognee/api/client.py` (Updated) -- **Enhanced health endpoints**: Three new endpoints replacing the basic health check -- **Proper HTTP status codes**: Returns appropriate status codes based on health status - -## Health Check Endpoints - -### 1. `GET /health` - Basic Liveness Probe -- **Purpose**: Basic liveness check for container orchestration -- **Response**: HTTP 200 (healthy/degraded) or 503 (unhealthy) -- **Use case**: Kubernetes liveness probe, load balancer health checks - -### 2. `GET /health/ready` - Readiness Probe -- **Purpose**: Kubernetes readiness probe -- **Response**: JSON with ready/not ready status -- **Use case**: Kubernetes readiness probe, deployment verification - -### 3. `GET /health/detailed` - Comprehensive Health Status -- **Purpose**: Detailed health information for monitoring and debugging -- **Response**: Complete health status with component details -- **Use case**: Monitoring dashboards, troubleshooting, operational visibility - -## Health Check Components - -### Critical Services (Failure = HTTP 503) -1. **Relational Database** (SQLite/PostgreSQL) - - Tests database connectivity and session creation - - Validates schema accessibility - -2. **Vector Database** (LanceDB/Qdrant/PGVector/ChromaDB) - - Tests vector database connectivity - - Validates index accessibility - -3. **Graph Database** (Kuzu/Neo4j/FalkorDB/Memgraph) - - Tests graph database connectivity - - Validates schema and basic operations - -4. **File Storage** (Local/S3) - - Tests file system or S3 accessibility - - Validates read/write permissions - -### Non-Critical Services (Failure = Degraded Status) -1. **LLM Provider** (OpenAI/Ollama/Anthropic/Gemini) - - Validates configuration and API key presence - - Non-blocking for core functionality - -2. **Embedding Service** - - Tests embedding engine accessibility - - Non-blocking for core functionality - -## Response Format - -```json -{ - "status": "healthy|degraded|unhealthy", - "timestamp": "2024-01-15T10:30:45Z", - "version": "1.0.0", - "uptime": 3600, - "components": { - "relational_db": { - "status": "healthy", - "provider": "sqlite", - "response_time_ms": 45, - "details": "Connection successful" - }, - "vector_db": { - "status": "healthy", - "provider": "lancedb", - "response_time_ms": 120, - "details": "Index accessible" - }, - "graph_db": { - "status": "healthy", - "provider": "kuzu", - "response_time_ms": 89, - "details": "Schema validated" - }, - "file_storage": { - "status": "healthy", - "provider": "local", - "response_time_ms": 156, - "details": "Storage accessible" - }, - "llm_provider": { - "status": "healthy", - "provider": "openai", - "response_time_ms": 1250, - "details": "Configuration valid" - }, - "embedding_service": { - "status": "healthy", - "provider": "configured", - "response_time_ms": 890, - "details": "Embedding engine accessible" - } - } -} -``` - -## Health Status Logic - -### Overall Status Determination -- **UNHEALTHY**: Any critical service is unhealthy -- **DEGRADED**: All critical services healthy, but non-critical services have issues -- **HEALTHY**: All services are functioning properly - -### HTTP Status Codes -- **200**: Healthy or degraded (service operational) -- **503**: Unhealthy (service not ready/available) - -## Usage Examples - -### Kubernetes Deployment -```yaml -apiVersion: apps/v1 -kind: Deployment -metadata: - name: cognee-api -spec: - template: - spec: - containers: - - name: cognee - image: cognee:latest - livenessProbe: - httpGet: - path: /health - port: 8000 - initialDelaySeconds: 30 - periodSeconds: 10 - readinessProbe: - httpGet: - path: /health/ready - port: 8000 - initialDelaySeconds: 5 - periodSeconds: 5 -``` - -### Docker Compose Health Check -```yaml -version: '3.8' -services: - cognee-api: - image: cognee:latest - healthcheck: - test: ["CMD", "curl", "-f", "http://localhost:8000/health"] - interval: 30s - timeout: 10s - retries: 3 - start_period: 40s -``` - -### Monitoring Integration -```bash -# Basic health check -curl http://localhost:8000/health - -# Detailed health status for monitoring -curl http://localhost:8000/health/detailed | jq '.components' - -# Readiness check -curl http://localhost:8000/health/ready -``` - -## Implementation Benefits - -1. **Production Ready**: Proper HTTP status codes and structured responses -2. **Container Orchestration**: Kubernetes-compatible liveness and readiness probes -3. **Monitoring Integration**: Detailed component status for observability -4. **Graceful Degradation**: Distinguishes between critical and non-critical failures -5. **Performance Tracking**: Response time metrics for each component -6. **Troubleshooting**: Detailed error messages and component status - -## Error Handling - -- All health checks are wrapped in try-catch blocks -- Individual component failures don't crash the health check system -- Detailed error messages are provided for troubleshooting -- Timeouts and response times are tracked for performance monitoring - -## Security Considerations - -- Health endpoints don't expose sensitive configuration details -- Error messages are sanitized to prevent information leakage -- No authentication required for basic health checks (standard practice) -- Detailed endpoint can be restricted if needed via reverse proxy rules - -This implementation provides a robust, production-ready health check system that meets enterprise requirements for monitoring, observability, and container orchestration. \ No newline at end of file diff --git a/HEALTH_CHECK_SUMMARY.md b/HEALTH_CHECK_SUMMARY.md deleted file mode 100644 index 3bcbadadd..000000000 --- a/HEALTH_CHECK_SUMMARY.md +++ /dev/null @@ -1,163 +0,0 @@ -# Health Check System Implementation Summary - -## What Was Implemented - -### 1. Core Health Check Module (`cognee/api/health.py`) -- **HealthChecker class**: Comprehensive health checking system -- **Pydantic models**: Structured response models for health data -- **Component checkers**: Individual health check methods for each backend service -- **Status determination logic**: Proper classification of healthy/degraded/unhealthy states - -### 2. Enhanced API Endpoints (`cognee/api/client.py`) -- **`GET /health`**: Basic liveness probe (replaces existing basic endpoint) -- **`GET /health/ready`**: Kubernetes readiness probe -- **`GET /health/detailed`**: Comprehensive health status with component details - -### 3. Backend Component Health Checks - -#### Critical Services (Failure = HTTP 503) -- **Relational Database**: SQLite/PostgreSQL connectivity and session validation -- **Vector Database**: LanceDB/Qdrant/PGVector/ChromaDB connectivity and index access -- **Graph Database**: Kuzu/Neo4j/FalkorDB/Memgraph connectivity and schema validation -- **File Storage**: Local filesystem/S3 accessibility and permissions - -#### Non-Critical Services (Failure = Degraded Status) -- **LLM Provider**: OpenAI/Ollama/Anthropic/Gemini configuration validation -- **Embedding Service**: Embedding engine accessibility check - -## Key Features - -### 1. Production-Ready Design -- Proper HTTP status codes (200 for healthy/degraded, 503 for unhealthy) -- Structured JSON responses with detailed component information -- Response time tracking for performance monitoring -- Graceful error handling and detailed error messages - -### 2. Container Orchestration Support -- Kubernetes-compatible liveness and readiness probes -- Docker health check support -- Proper startup and runtime health validation - -### 3. Monitoring Integration -- Detailed component status for observability platforms -- Performance metrics (response times) -- Version and uptime information -- Structured logging for troubleshooting - -### 4. Robust Error Handling -- Individual component failures don't crash the health system -- Detailed error messages for troubleshooting -- Timeout handling and performance tracking -- Graceful degradation for non-critical services - -## Response Format Example - -```json -{ - "status": "healthy", - "timestamp": "2024-01-15T10:30:45Z", - "version": "1.0.0-local", - "uptime": 3600, - "components": { - "relational_db": { - "status": "healthy", - "provider": "sqlite", - "response_time_ms": 45, - "details": "Connection successful" - }, - "vector_db": { - "status": "healthy", - "provider": "lancedb", - "response_time_ms": 120, - "details": "Index accessible" - }, - "graph_db": { - "status": "healthy", - "provider": "kuzu", - "response_time_ms": 89, - "details": "Schema validated" - }, - "file_storage": { - "status": "healthy", - "provider": "local", - "response_time_ms": 156, - "details": "Storage accessible" - }, - "llm_provider": { - "status": "healthy", - "provider": "openai", - "response_time_ms": 25, - "details": "Configuration valid" - }, - "embedding_service": { - "status": "healthy", - "provider": "configured", - "response_time_ms": 30, - "details": "Embedding engine accessible" - } - } -} -``` - -## Files Created/Modified - -### New Files -1. `cognee/api/health.py` - Core health check system -2. `examples/health_check_example.py` - Usage examples and monitoring script -3. `HEALTH_CHECK_IMPLEMENTATION.md` - Detailed documentation -4. `HEALTH_CHECK_SUMMARY.md` - This summary file - -### Modified Files -1. `cognee/api/client.py` - Enhanced with new health endpoints - -## Usage Examples - -### Basic Health Check -```bash -curl http://localhost:8000/health -# Returns: HTTP 200 (healthy/degraded) or 503 (unhealthy) -``` - -### Readiness Check -```bash -curl http://localhost:8000/health/ready -# Returns: {"status": "ready"} or {"status": "not ready", "reason": "..."} -``` - -### Detailed Health Status -```bash -curl http://localhost:8000/health/detailed -# Returns: Complete health status with component details -``` - -### Kubernetes Integration -```yaml -livenessProbe: - httpGet: - path: /health - port: 8000 -readinessProbe: - httpGet: - path: /health/ready - port: 8000 -``` - -## Benefits Achieved - -1. **Comprehensive Monitoring**: All critical backend services are monitored -2. **Production Ready**: Proper HTTP status codes and error handling -3. **Container Orchestration**: Kubernetes and Docker compatibility -4. **Observability**: Detailed metrics and status information -5. **Troubleshooting**: Clear error messages and component status -6. **Performance Tracking**: Response time metrics for each component -7. **Graceful Degradation**: Distinguishes critical vs non-critical failures - -## Implementation Notes - -- Health checks are designed to be lightweight and fast -- Critical service failures result in HTTP 503 (service unavailable) -- Non-critical service failures result in degraded status but HTTP 200 -- All health checks include proper error handling and timeout management -- The system is extensible for adding new backend components - -This implementation provides a robust, enterprise-grade health check system that meets the requirements for production deployments, container orchestration, and comprehensive monitoring. \ No newline at end of file