learning_ai_common_plat/AI.dev/SKILLS/debug-service.md

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# Debug Service Skill
**Description**: Systematic methodology for diagnosing and fixing failing services or endpoints across the entire stack.
## When to Use
- Any service is returning errors or unexpected behavior
- Health checks are failing
- Tests are failing in CI or locally
- Users report broken functionality
## Prerequisites
- Access to service logs
- Terminal with curl installed
- Ability to run tests locally
## Steps
### 1. Identify the Failing Service
Quickly locate which service is affected:
```bash
# Service locations reference:
# Backend API (Python/FastAPI) → backend/src/
# Billing Service (Fastify) → ../learning_ai_common_plat/services/billing-service/src/
# Growth Service (Fastify) → ../learning_ai_common_plat/services/growth-service/src/
# Platform Service (Fastify) → ../learning_ai_common_plat/services/platform-service/src/
# Tracker Service (Fastify) → ../learning_ai_common_plat/services/tracker-service/src/
# Admin Dashboard (Next.js) → admin-dashboard-web/src/
# User Dashboard (Next.js) → user-dashboard-web/src/
# Tracker Dashboard (Next.js) → tracker-dashboard-web/src/
```
### 2. Check Health Status
```bash
# Check all services at once
curl -s http://localhost:8000/health && \
curl -s http://localhost:4003/health
```
### 3. Examine Logs
**For local development:**
```bash
# Check recent logs from all services
tail -50 .logs/backend.log .logs/platform-service.log 2>/dev/null | head -100
```
**For Docker:**
```bash
docker compose logs --tail=50 <service-name>
```
### 4. Reproduce the Issue
- **API errors**: Use curl with verbose output
```bash
curl -v -X POST http://localhost:8000/api/endpoint -H "Content-Type: application/json" -d '{"key":"value"}'
```
- **UI errors**: Check browser console and network tab
- **Test failures**: Run specific tests with verbose output
```bash
# Python
python -m pytest tests/test_specific.py -v -x
# TypeScript/Vitest
pnpm test --reporter=verbose specific.test.ts
```
### 5. Fix Methodology
Follow this order to avoid common pitfalls:
1. **Read the test first** - Understand what the expected behavior is
2. **Read the source code** - Trace the execution path
3. **Fix the source, NOT the test** - Unless the test itself is wrong
4. **Add a regression test** - If none exists for this bug
5. **Run the full test suite** - Ensure no new issues were introduced
### 6. Verify the Fix
```bash
# Python tests
python -m pytest tests/ backend/tests/ -v --tb=short -x
# TypeScript services
cd ../learning_ai_common_plat && pnpm --filter @lysnrai/<service-name> test
# Dashboard builds
cd admin-dashboard-web && npm run build
```
### 7. Commit with Proper Format
```bash
git add .
git commit -m "fix(<scope>): <description>"
# Examples:
# fix(billing): handle null subscription in usage endpoint
# fix(platform): validate JWT token in auth middleware
# fix(admin): resolve dashboard loading state issue
git push
```
## Common Patterns
### Database Connection Issues
```bash
# Check Cosmos DB connectivity
curl -s http://localhost:4003/health | jq .
# Look for database errors in logs
grep -i "database\|cosmos\|connection" .logs/*.log
```
### Authentication Issues
```bash
# Decode JWT to check contents
echo "<jwt-token>" | cut -d. -f2 | base64 -d | jq .
# Check auth service health
curl -s http://localhost:4003/api/auth/me -H "Authorization: Bearer <token>"
```
### Service Dependencies
```bash
# Check if dependent services are running
docker compose ps
# Verify service communication
curl -s http://localhost:4003/health | jq . # consolidated platform service
```
## Notes
- **Always check logs first** - Most issues have clear error messages
- **Isolate the problem** - Don't change multiple things at once
- **Document the fix** - Add comments if the issue was non-obvious
- **Consider edge cases** - Think about what might cause this to fail again
## Related Skills
- [Local Development Setup](./local-development.md) - Start services locally
- [Production Readiness](./production-readiness.md) - Comprehensive validation
- [Test Strategies](./test-strategies.md) - Writing effective tests