Api connections
Troubleshooting Guide: R2R API Endpoints Not Responding
When R2R API endpoints fail to respond, it can disrupt your entire workflow. This guide will help you diagnose and resolve issues related to unresponsive API endpoints.
1. Verify API Service Status
First, ensure that the R2R API service is running:
Look for a container with “r2r” in its name and check its status.
2. Check API Logs
Examine the logs of the R2R API container:
Look for error messages or exceptions that might indicate why the API is not responding.
3. Common Issues and Solutions
3.1 Network Connectivity
Symptom: Unable to reach the API from outside the Docker network.
Solutions:
- Verify port mappings in your Docker Compose file.
- Ensure the host firewall isn’t blocking the API port.
- Check if the API is bound to the correct network interface (0.0.0.0 for all interfaces).
3.2 Dependencies Not Ready
Symptom: API starts but immediately exits or fails to initialize.
Solutions:
- Verify that all required services (Postgres, etc.) are up and healthy.
- Check if the
depends_on
conditions in the Docker Compose file are correct. - Increase the retry count or add a delay in the API service startup script.
3.3 Configuration Errors
Symptom: API logs show configuration-related errors.
Solutions:
- Double-check environment variables in the Docker Compose file.
- Verify that the config file (if used) is correctly mounted and accessible.
- Ensure all required configuration parameters are set.
3.4 Resource Constraints
Symptom: API becomes unresponsive under load or fails to start due to lack of resources.
Solutions:
- Check Docker host resources (CPU, memory, disk space).
- Adjust resource limits in Docker Compose file if necessary.
- Consider scaling the API service or upgrading the host machine.
3.5 Database Connection Issues
Symptom: API logs show database connection errors.
Solutions:
- Verify database credentials and connection strings.
- Check if the database service is running and accessible.
- Ensure the database is initialized with the correct schema.
3.6 Hatchet Integration Problems
Symptom: API fails to communicate with Hatchet service.
Solutions:
- Verify Hatchet service is running and healthy.
- Check Hatchet API key and configuration.
- Ensure network connectivity between R2R and Hatchet services.
4. API-specific Debugging Steps
-
Test individual endpoints: Use tools like cURL or Postman to test specific endpoints and isolate the problem.
-
Check API documentation: Verify that you’re using the correct endpoint URLs and request formats.
-
Monitor API metrics: If available, check API metrics for response times, error rates, and request volumes.
-
Verify API versioning: Ensure you’re using the correct API version in your requests.
5. Advanced Troubleshooting
5.1 Network Debugging
Use network debugging tools to diagnose connectivity issues:
5.2 Interactive Debugging
Access the R2R container interactively to run diagnostics:
5.3 API Server Logs
If the API uses a separate web server (e.g., uvicorn), check its logs:
6. Preventive Measures
- Implement robust health checks in your Docker Compose file.
- Use logging and monitoring tools to proactively detect issues.
- Implement circuit breakers and fallback mechanisms in your application.
- Regularly update R2R and its dependencies to the latest stable versions.
7. Seeking Help
If you’re still experiencing issues:
- Gather all relevant logs, configurations, and error messages.
- Check the R2R documentation and GitHub issues for similar problems.
- Reach out to the R2R community on Discord or GitHub for support.
- When reporting an issue, provide:
- R2R version
- Docker and Docker Compose versions
- Host OS and version
- Detailed description of the problem and steps to reproduce
- Relevant logs and configuration files (with sensitive information redacted)
By following this guide, you should be able to diagnose and resolve most issues with unresponsive R2R API endpoints. Remember to approach the problem systematically and gather as much information as possible before seeking external help.