# 🚀 Next Steps - Prioritized Action Plan
**Created:** 2025-01-15
**Based On:** [Repository Assessment](REPOSITORY_ASSESSMENT.md)
**Status:** Ready to Execute
---
## 🎯 Immediate Priority (This Week)
### **Step 1: Create Operations Layer** ⚡ **CRITICAL**
**Why:** The operations layer bridges the API client and managers. Without it, we can't wire up real API calls properly.
**Estimated Time:** 2-3 days
**Tasks:**
1. **Create operations directory structure**
```bash
mkdir -p src/tailscalemcp/operations
```
2. **Create `operations/devices.py`**
- Implement device CRUD operations using `TailscaleAPIClient`
- Methods: `list_devices`, `get_device`, `update_device`, `delete_device`, `authorize_device`
- Wire into `device_management.py`
3. **Create `operations/network.py`**
- Implement network operations: DNS, policies, MagicDNS
- Wire into `magic_dns.py`
4. **Create `operations/services.py`**
- Implement Services (TailVIPs) operations
- Models already exist in `models/service.py`
- Client methods already exist in `client/api_client.py`
- Just need operations layer to wire them together
**Files to Create:**
```
src/tailscalemcp/operations/
├── __init__.py
├── devices.py # Device CRUD operations
├── network.py # Network configuration
├── services.py # Tailscale Services (TailVIPs)
└── policies.py # ACL policy management (optional for now)
```
**Success Criteria:**
- [ ] Operations layer created with real API implementations
- [ ] Managers updated to use operations layer
- [ ] No mock data in operations layer
---
### **Step 2: Audit & Remove Mock Data** 🔍 **CRITICAL**
**Why:** Assessment shows mock data still exists in managers. Need to replace with real API calls.
**Estimated Time:** 1-2 days
**Tasks:**
1. **Audit managers for mock data:**
- `src/tailscalemcp/device_management.py`
- `src/tailscalemcp/magic_dns.py`
- `src/tailscalemcp/monitoring.py`
- `src/tailscalemcp/taildrop.py`
2. **Replace mocks with operations layer calls**
3. **Test each manager with real API** (use test tailnet)
**Files to Audit:**
```python
# Look for patterns like:
- Hardcoded data: devices = [{"id": "mock1", ...}]
- Simulated responses: return {"status": "simulated"}
- Mock functions: async def get_device(): return mock_data
```
**Success Criteria:**
- [ ] All managers use operations layer
- [ ] No hardcoded mock data
- [ ] All operations make real API calls
---
### **Step 3: Add Critical Unit Tests** 🧪 **HIGH**
**Why:** Test coverage is 24%, target is 80%. Need foundation tests for new components.
**Estimated Time:** 2 days
**Tasks:**
1. **Create test directory structure**
```bash
mkdir -p tests/unit tests/integration
```
2. **Unit tests for API client:**
- `tests/unit/test_client.py` - Rate limiting, retry logic, error handling
- Mock `httpx.AsyncClient` (not internal functions!)
3. **Unit tests for models:**
- `tests/unit/test_models.py` - Parsing, validation, serialization
4. **Integration tests for operations:**
- `tests/integration/test_device_operations.py`
- `tests/integration/test_services_operations.py`
- Use mocked API responses
**Files to Create:**
```
tests/
├── unit/
│ ├── test_client.py
│ ├── test_rate_limiter.py
│ ├── test_retry.py
│ └── test_models.py
├── integration/
│ ├── test_device_operations.py
│ └── test_services_operations.py
└── conftest.py (fixtures)
```
**Success Criteria:**
- [ ] Unit tests for client, models, rate limiter, retry handler
- [ ] Integration tests for operations layer
- [ ] Coverage increases from 24% → 60%+
---
## 📋 Short Term (Next 2 Weeks)
### **Step 4: Complete Tailscale Services Integration** ⚡ **QUICK WIN**
**Why:** Models + client methods already exist. Just need operations layer wiring.
**Estimated Time:** 1 day
**Tasks:**
1. Wire `operations/services.py` into `tailscale_network` portmanteau tool
2. Verify all 5 services operations work: list, get, create, update, delete
3. Add integration tests
4. Update documentation
**Success Criteria:**
- [ ] Services operations fully functional
- [ ] Portmanteau tool integration complete
- [ ] Tests passing
---
### **Step 5: Increase Test Coverage** 📈 **HIGH**
**Why:** Target 80% coverage (GLAMA Gold Standard). Current: 24%.
**Estimated Time:** 3-4 days
**Tasks:**
1. Add tests for all operations
2. Add error handling tests
3. Add performance tests (rate limiting, connection pooling)
4. Set up coverage reporting in CI/CD
**Success Criteria:**
- [ ] Coverage reaches 80%
- [ ] All critical paths tested
- [ ] CI/CD reports coverage
---
### **Step 6: Comprehensive Error Handling** 🛡️ **HIGH**
**Why:** Production readiness requires graceful error handling.
**Estimated Time:** 2 days
**Tasks:**
1. Add graceful degradation patterns
2. Pre-flight validation for destructive operations
3. Better error messages with remediation steps
4. Operation logging and audit trails
**Success Criteria:**
- [ ] All operations have error handling
- [ ] Clear error messages with next steps
- [ ] Audit logging in place
---
## 🎯 Recommended Starting Point
**Start with Step 1: Operations Layer**
This is the foundation that everything else depends on. Once it's in place:
- ✅ Managers can use real API calls
- ✅ Mock data removal becomes straightforward
- ✅ Testing becomes meaningful
- ✅ New features can be added easily
**Suggested Workflow:**
1. Create `operations/devices.py` first (most used)
2. Update `device_management.py` to use it
3. Create `operations/services.py` (quick win)
4. Update portmanteau tools to wire services
5. Then tackle network operations
---
## 📊 Success Metrics
**Week 1 Goals:**
- [ ] Operations layer created
- [ ] Mock data removed from managers
- [ ] Critical unit tests added
- [ ] Test coverage: 24% → 60%+
**Week 2 Goals:**
- [ ] Services integration complete
- [ ] Test coverage: 60% → 80%
- [ ] Error handling improved
- [ ] Documentation updated
---
## 🚨 Critical Reminders
**From AI Development Rules:**
- ❌ **NEVER** add mock data - use real API calls or clear "not implemented" messages
- ✅ Always mock at HTTP client level (`httpx.AsyncClient`), not internal functions
- ✅ Preserve existing functionality
- ✅ Test with real API (use test tailnet) when possible
---
**Last Updated:** 2025-01-15
**Next Review:** After Step 1 completion
