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