201 lines
6.3 KiB
Markdown
201 lines
6.3 KiB
Markdown
# Daemon-CLI Implementation Status
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## ✅ Completed Phases
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### Phase 1: Foundation (COMPLETE)
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- ✅ Project structure and Cargo.toml with workspace integration
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- ✅ Core error handling (M-ERRORS-CANONICAL-STRUCTS compliant)
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- ✅ Configuration management with hierarchical loading
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- ✅ 3-layer hierarchical LRU cache system
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- ✅ Library exports and module organization
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- ✅ Basic daemon and CLI binaries
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**Status**: Builds successfully, binaries functional
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### Phase 2: HTTP API Layer (COMPLETE)
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- ✅ Axum-based REST API server (A-EXTRACTORS-FIRST pattern)
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- ✅ AppState management (A-SHARED-STATE with Arc<T>)
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- ✅ Handler structure for all operations
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- ✅ Health check endpoints (liveness/readiness)
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- ✅ Cache management endpoints
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- ✅ Valida validation handlers (stub implementation)
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- ✅ Runtime detection handlers (stub implementation)
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- ✅ Encryption handlers (stub implementation)
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**Status**: HTTP server running on port 9090, API responding correctly
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## 🚀 Next Phases To Implement
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### Phase 3: Dual-Mode CLI Client
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The CLI (`provctl`) needs:
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- HTTP client mode connecting to running daemon
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- Offline mode with direct library calls (fallback)
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- Auto-detection of daemon availability
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- Proper command completion and help
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- Output formatting (table, JSON)
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### Phase 4: Ecosystem Crate Integration
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Integrate with existing crates:
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- **valida**: Real validation logic via crate library
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- **runtime**: Container runtime detection
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- **encrypt**: Encryption operations with multiple backends
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- **init-servs**: Service management
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- **observability**: Metrics and health checks
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### Phase 5: Event Bus & Syntaxis
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- Event bus using async-broadcast or tokio::sync channels
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- Event definitions for all operations
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- Event handlers that update Syntaxis tasks
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- Persistence layer (optional SQLite)
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### Phase 6: Integration with Existing Services
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- Observability health server integration
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- GitOps webhook server integration
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- Unified logging and tracing
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- Health probe endpoints
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### Phase 7: Configuration Rendering & Nushell
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- KCL renderer integration
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- Nickel renderer integration
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- Tera template engine
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- Fluent i18n support
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- Nushell script integration
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- Pre-loaded environment for <5ms execution
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## Architecture Highlights
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### Following Project Guidelines
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- ✅ M-PUBLIC-DEBUG: All public types implement Debug
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- ✅ M-PUBLIC-DISPLAY: User-facing types implement Display
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- ✅ M-CONCISE-NAMES: No generic "Service/Manager" suffixes
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- ✅ M-PANIC-IS-STOP: Only for programming errors
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- ✅ M-DOCUMENTED-MAGIC: Constants documented with rationale
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- ✅ A-EXTRACTORS-FIRST: All handlers use Axum extractors
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- ✅ A-TYPED-RESPONSES: IntoResponse implementations
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- ✅ A-ERROR-HANDLING: Custom error types with IntoResponse
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- ✅ T-RUNTIME-SETUP: Multi-threaded Tokio runtime
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### Caching Strategy
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- Layer 1: Command cache (1 hour TTL, 1000 entries)
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- Layer 2: Config cache (5 minute TTL, 500 entries)
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- Layer 3: Module cache (permanent, configurable)
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- Expected 80%+ cache hit ratio
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- Target: <100ms total operation time
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### API Design
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- RESTful endpoints organized by crate
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- JSON request/response format
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- Consistent error responses
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- Health check probes (liveness/readiness)
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- Cache statistics monitoring
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## Building and Testing
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### Build All Phases
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```bash
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cargo build -p daemon-cli --all-targets
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```
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### Run Daemon
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```bash
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./target/debug/provd
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```
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### Test API Endpoints
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```bash
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# Health check
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curl http://localhost:9090/api/v1/health
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# Cache stats
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curl http://localhost:9090/api/v1/cache/stats
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# Validation (stub)
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curl -X POST http://localhost:9090/api/v1/valida/validate \
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-H "Content-Type: application/json" \
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-d '{"config_file": "test.yaml", "phase": "deploy"}'
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# Runtime detection (stub)
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curl http://localhost:9090/api/v1/runtime/detect
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# List encryption backends
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curl http://localhost:9090/api/v1/encrypt/backends
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```
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### Run CLI
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```bash
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./target/debug/provctl --help
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./target/debug/provctl daemon status
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./target/debug/provctl valida validate --file config.yaml
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```
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## Known Stubs To Implement
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1. **Ecosystem Crate Integration**
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- `valida.rs::validate_config` - Call valida crate
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- `runtime.rs::detect_runtime` - Call runtime crate
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- `encrypt.rs::encrypt_data/decrypt_data` - Call encrypt crate
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2. **Event Bus**
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- Create event types and channels
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- Implement pub/sub pattern
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- Add Syntaxis integration
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3. **CLI Client Implementation**
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- HTTP client mode
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- Offline library mode
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- Command routing and execution
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4. **Nushell Integration**
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- Pre-load ecosystem scripts
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- Fast execution (<5ms overhead)
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- Function wrappers for API calls
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## Performance Targets
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- **Command execution**: <100ms first run, <30ms cached
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- **Cache hit ratio**: 80%+
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- **API throughput**: 1000 req/sec
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- **Nushell overhead**: <5ms (persistent mode)
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- **Event bus**: 10000 events/sec
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## File Organization
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```
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crates/daemon-cli/
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├── Cargo.toml (Phase 1)
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├── src/
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│ ├── lib.rs (Phase 1)
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│ ├── core/
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│ │ ├── error.rs (Phase 1)
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│ │ ├── config.rs (Phase 1)
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│ │ └── cache/ (Phase 1)
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│ ├── api/ (Phase 2)
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│ │ ├── handlers/ (Phase 2)
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│ │ └── state.rs (Phase 2)
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│ ├── cli/ (Phase 3 - TODO)
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│ ├── orchestration/ (Phase 4 - TODO)
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│ ├── events/ (Phase 5 - TODO)
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│ ├── rendering/ (Phase 7 - TODO)
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│ └── bin/
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│ ├── provd.rs (Phase 1-2)
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│ └── provctl.rs (Phase 3 - TODO)
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```
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## Next Steps
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1. **Complete Phase 3**: Implement HTTP client and offline modes in CLI
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2. **Complete Phase 4**: Integrate with ecosystem crate libraries
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3. **Complete Phase 5**: Build event bus and Syntaxis integration
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4. **Complete Phase 6**: Add health server and GitOps webhook support
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5. **Complete Phase 7**: Add configuration rendering and Nushell integration
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6. **Testing**: Comprehensive integration tests for all operations
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7. **Documentation**: API docs, deployment guide, troubleshooting
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## Development Notes
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- All code follows Rust best practices and project guidelines
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- Error handling uses canonical error structs (M-ERRORS-CANONICAL-STRUCTS)
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- API design follows Axum patterns (A-EXTRACTORS-FIRST, A-TYPED-RESPONSES)
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- Async code uses Tokio properly (T-RUNTIME-SETUP, T-TIMEOUT-HANDLING)
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- Configuration is hierarchical: CLI args > env vars > config file > defaults
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- Caching is aggressive but configurable for different environments
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