Troubleshooting Documentation

This directory contains debugging guides, common error solutions, and troubleshooting procedures for the Plings platform.

Contents

System Troubleshooting

Overview

This troubleshooting documentation helps developers and system administrators diagnose and resolve issues across the Plings platform:

Common Issue Categories

  • Database Connectivity: Connection failures, timeout issues, permission problems
  • GraphQL Errors: Schema validation, resolver failures, query optimization
  • Authentication Issues: JWT validation, session management, permission errors
  • Image Processing: Upload failures, storage issues, transformation problems
  • Spatial Relationships: Hierarchy inconsistencies, relationship validation errors

Debugging Strategies

  • Systematic Diagnosis: Step-by-step troubleshooting procedures
  • Log Analysis: Understanding log patterns and error messages
  • Performance Debugging: Identifying bottlenecks and optimization opportunities
  • Data Integrity: Validating database consistency and relationship integrity

For Frontend Developers

Frontend troubleshooting focuses on:

  1. GraphQL Debugging: Query validation, network errors, and cache issues
  2. Authentication Flow: Login failures, token expiration, and permission errors
  3. UI State Management: Component state issues and data synchronization
  4. Performance Issues: Render optimization and data loading strategies
  5. Integration Problems: API connectivity and data transformation errors

Common Frontend Issues

GraphQL Query Errors

Error: Cannot query field 'xyz' on type 'ObjectInstance'

Solution: Check GraphQL schema, verify field exists and is properly typed

Authentication Failures

Error: Invalid JWT token

Solution: Check token expiration, verify Supabase configuration, refresh auth state

Image Upload Problems

Error: Failed to upload image to Supabase Storage

Solution: Verify storage permissions, check file size limits, validate file types

For Backend Developers

Backend troubleshooting focuses on:

  1. Database Integration: Connection pooling, query optimization, transaction management
  2. GraphQL Resolvers: Context management, error handling, performance optimization
  3. Authentication & Authorization: JWT validation, role-based access, organization permissions
  4. Data Synchronization: PostgreSQL-Neo4j consistency, relationship integrity
  5. Performance Monitoring: Query analysis, caching strategies, bottleneck identification

Common Backend Issues

Database Connection Errors

Error: Connection pool exhausted

Solution: Check connection limits, implement connection pooling, verify database health

Neo4j Relationship Errors

Error: Node not found in Neo4j

Solution: Verify data synchronization, check node existence, validate relationship queries

PostgreSQL ID Mapping Issues

Error: No PostgreSQL ID found for Neo4j ID

Solution: Run data sync scripts, verify object_instances table, check neo4j_id mapping

System Health Monitoring

Health Check Endpoints

  • /health - Basic service health
  • /health/db - Database connectivity
  • /graphql - GraphQL schema validation

Log Analysis

  • Error Patterns: Identify recurring issues and root causes
  • Performance Metrics: Track query execution times and resource usage
  • Authentication Logs: Monitor login attempts and security events

Database Monitoring

  • Connection Pool Status: Monitor active connections and pool health
  • Query Performance: Track slow queries and optimization opportunities
  • Data Consistency: Validate synchronization between PostgreSQL and Neo4j

Emergency Procedures

Service Recovery

  1. Database Failures: Connection recovery, failover procedures, data restoration
  2. Authentication Outages: Backup authentication methods, session recovery
  3. Data Corruption: Backup restoration, consistency validation, manual repair

Performance Degradation

  1. Query Optimization: Identify slow queries, add indexes, optimize resolvers
  2. Cache Management: Clear stale cache, optimize cache policies
  3. Resource Scaling: Increase database connections, scale service instances

Data Integrity Issues

  1. Synchronization Problems: Run data sync scripts, validate mappings
  2. Relationship Inconsistencies: Repair spatial hierarchies, validate constraints
  3. Permission Errors: Audit access controls, restore proper permissions

Escalation Procedures

Critical Issues

  • Data Loss: Immediate backup restoration, stakeholder notification
  • Security Breaches: Incident response, access revocation, audit procedures
  • Service Outages: Emergency response, communication protocols, recovery procedures

Contact Information

  • Development Team: Primary technical contact for code-related issues
  • System Administration: Infrastructure and deployment issues
  • Data Team: Database integrity and performance issues
  • Security Team: Authentication and access control problems