This commit addresses multiple issues in the Docker/host agent removal flow:
Agent Stop Fix:
- Add systemctl stop command after agent acknowledgement to prevent systemd restart
- Previous behavior: agent disabled but systemd immediately restarted it (Restart=always)
- New behavior: agent disables itself, sends ack, then stops systemd service completely
UX Improvements:
- Add real-time elapsed time counter during removal wait
- Show progress indicators prominently (no longer hidden in dropdown)
- Display expected time range (30-60 seconds) and last heartbeat
- Auto-show timeout warning after 2 minutes with actionable "Force remove" button
- Add contextual help explaining what's happening at each stage
Security Enhancement:
- Automatically revoke API tokens when removing Docker/host agents
- Previous behavior: tokens remained valid after agent removal
- New behavior: tokens are revoked and persisted immediately on removal
- Prevents removed agents from re-authenticating with old credentials
Extends Docker container monitoring with comprehensive disk and storage information:
- Writable layer size and root filesystem usage displayed in new Disk column
- Block I/O statistics (read/write bytes totals) shown in container drawer
- Mount metadata including type, source, destination, mode, and driver details
- Configurable via --collect-disk flag (enabled by default, can be disabled for large fleets)
Also fixes config watcher to consistently use production auth config path instead of following PULSE_DATA_DIR when in mock mode.
Windows Host Agent Enhancements:
- Implement native Windows service support using golang.org/x/sys/windows/svc
- Add Windows Event Log integration for troubleshooting
- Create professional PowerShell installation/uninstallation scripts
- Add process termination and retry logic to handle Windows file locking
- Register uninstall endpoint at /uninstall-host-agent.ps1
Host Agent UI Improvements:
- Add expandable drawer to Hosts page (click row to view details)
- Display system info, network interfaces, disks, and temperatures in cards
- Replace status badges with subtle colored indicators
- Remove redundant master-detail sidebar layout
- Add search filtering for hosts
Technical Details:
- service_windows.go: Windows service lifecycle management with graceful shutdown
- service_stub.go: Cross-platform compatibility for non-Windows builds
- install-host-agent.ps1: Full Windows installation with validation
- uninstall-host-agent.ps1: Clean removal with process termination and retries
- HostsOverview.tsx: Expandable row pattern matching Docker/Proxmox pages
Files Added:
- cmd/pulse-host-agent/service_windows.go
- cmd/pulse-host-agent/service_stub.go
- scripts/install-host-agent.ps1
- scripts/uninstall-host-agent.ps1
- frontend-modern/src/components/Hosts/HostsOverview.tsx
- frontend-modern/src/components/Hosts/HostsFilter.tsx
The Windows service now starts reliably with automatic restart on failure,
and the uninstall script handles file locking gracefully without requiring reboots.
Improves configuration handling and system settings APIs to support
v4.24.0 features including runtime logging controls, adaptive polling
configuration, and enhanced config export/persistence.
Changes:
- Add config override system for discovery service
- Enhance system settings API with runtime logging controls
- Improve config persistence and export functionality
- Update security setup handling
- Refine monitoring and discovery service integration
These changes provide the backend support for the configuration
features documented in the v4.24.0 release.
Resolves two remaining TODOs from codebase audit.
## 1. PBS/PMG Test Harness Stubs
**Location:** internal/monitoring/harness_integration.go:149-151
**Changes:**
- Added PBS client stub registration: `monitor.pbsClients[inst.Name] = &pbs.Client{}`
- Added PMG client stub registration: `monitor.pmgClients[inst.Name] = &pmg.Client{}`
- Added imports for pkg/pbs and pkg/pmg
**Purpose:**
Enables integration test scenarios to include PBS and PMG instance types
alongside existing PVE support. Stubs allow scheduler to register and
execute tasks for these instance types during integration testing.
**Testing:**
✅ TestAdaptiveSchedulerIntegration passes (55.5s)
✅ Integration test harness now supports all three instance types
## 2. HTTP Config URL Fetch
**Location:** cmd/pulse/config.go:226-261
**Problem:**
`PULSE_INIT_CONFIG_URL` was recognized but not implemented, returning
"URL import not yet implemented" error.
**Implementation:**
- URL validation (http/https schemes only)
- HTTP client with 15 second timeout
- Status code validation (2xx required)
- Empty response detection
- Base64 decoding with fallback to raw data
- Matches existing env-var behavior for `PULSE_INIT_CONFIG_DATA`
**Security:**
- Both HTTP and HTTPS supported (HTTPS recommended for production)
- URL scheme validation prevents file:// or other protocols
- Timeout prevents hanging on unresponsive servers
**Usage:**
```bash
export PULSE_INIT_CONFIG_URL="https://config-server/encrypted-config"
export PULSE_INIT_CONFIG_PASSPHRASE="secret"
pulse config auto-import
```
**Testing:**
✅ Code compiles cleanly
✅ Follows same pattern as existing PULSE_INIT_CONFIG_DATA handling
## Impact
- Completes integration test infrastructure for all instance types
- Enables automated config distribution via HTTP(S) for container deployments
- Removes last TODOs from codebase (no TODO/FIXME remaining in Go files)
Fixes panic: assignment to entry in nil map in PMG polling tests.
**Problem:**
Tests were manually creating Monitor structs without initializing internal
maps like pollStatusMap, causing nil map panics when recordTaskResult()
tried to update task status.
**Root Cause:**
- TestPollPMGInstancePopulatesState (line 90)
- TestPollPMGInstanceRecordsAuthFailures (line 189)
Both created Monitor with only partial field initialization, missing:
- pollStatusMap
- dlqInsightMap
- instanceInfoCache
- Other internal state maps
**Solution:**
Changed both tests to use New() constructor which properly initializes all
maps and internal state (monitor.go:1541). This ensures tests match production
initialization and will automatically pick up any future map additions.
**Tests:**
✅ TestPollPMGInstancePopulatesState - now passes
✅ TestPollPMGInstanceRecordsAuthFailures - now passes
✅ All monitoring tests pass (0.125s)
Follows best practice: use constructors instead of manual struct creation
to maintain initialization invariants.
Add comprehensive instance-level diagnostics to /api/monitoring/scheduler/health
**New Response Structure:**
Enhanced "instances" array with per-instance details:
- Instance metadata: displayName, type, connection URL
- Poll status: last success/error timestamps, error messages, error category
- Circuit breaker: state, timestamps, failure counts, retry windows
- Dead letter: present flag, reason, attempt history, retry schedule
**Implementation:**
Data structures:
- instanceInfo: cache of display names, URLs, types
- pollStatus: tracks successes/errors with timestamps and categories
- dlqInsight: DLQ entry metadata (reason, attempts, schedule)
- circuitBreaker: enhanced with stateSince, lastTransition
Tracking logic:
- buildInstanceInfoCache: populate metadata from config on startup
- recordTaskResult: track poll outcomes, error details, categories
- sendToDeadLetter: capture DLQ insights (reason, timestamps)
- circuitBreaker: record state transitions with timestamps
**Backward Compatible:**
- Existing fields (deadLetter, breakers, staleness) unchanged
- New "instances" array is additive
- Old clients can ignore new fields
**Testing:**
- Unit test: TestSchedulerHealth_EnhancedResponse validates all fields
- Integration tests: still passing (55s)
- All error tracking and breaker history verified
**Operator Benefits:**
- Diagnose issues without log digging
- See error messages directly in API
- Understand breaker states and retry schedules
- Track DLQ entries with full context
- Single API call for complete instance health view
Example: Quickly identify "401 unauthorized" on specific PBS instance,
see it's in DLQ after 5 retries, and know when next retry scheduled.
Part of Phase 2 follow-up work to improve observability.
Implements structured logging package with LOG_LEVEL/LOG_FORMAT env support, debug level guards for hot paths, enriched error messages with actionable context, and stack trace capture for production debugging. Improves observability and reduces log overhead in high-frequency polling loops.
Task 8 of 10 complete. Exposes read-only scheduler health data including:
- Queue depth and distribution by instance type
- Dead-letter queue inspection (top 25 tasks with error details)
- Circuit breaker states (instance-level)
- Staleness scores per instance
New API endpoint:
GET /api/monitoring/scheduler/health (requires authentication)
New snapshot methods:
- StalenessTracker.Snapshot() - exports all staleness data
- TaskQueue.Snapshot() - queue depth & per-type distribution
- TaskQueue.PeekAll() - dead-letter task inspection
- circuitBreaker.State() - exports state, failures, retryAt
- Monitor.SchedulerHealth() - aggregates all health data
Documentation updated with API spec, field descriptions, and usage examples.
Replaces immediate polling with queue-based scheduling:
- TaskQueue with min-heap (container/heap) for NextRun-ordered execution
- Worker goroutines that block on WaitNext() until tasks are due
- Tasks only execute when NextRun <= now, respecting adaptive intervals
- Automatic rescheduling after execution via scheduler.BuildPlan
- Queue depth tracking for backpressure-aware interval adjustments
- Upsert semantics for updating scheduled tasks without duplicates
Task 6 of 10 complete (60%). Ready for error/backoff policies.
Confirms adaptive scheduling logic is fully operational:
- EMA smoothing (alpha=0.6) to prevent interval oscillations
- Staleness-based interpolation between min/max intervals
- Error penalty (0.6x per error) for faster recovery detection
- Queue depth stretch (0.1x per task) for backpressure handling
- ±5% jitter to prevent thundering herd effects
- Per-instance state tracking for smooth transitions
Task 5 of 10 complete. Scheduler foundation ready for queue-based execution.
Adds freshness metadata tracking for all monitored instances:
- StalenessTracker with per-instance last success/error/mutation timestamps
- Change hash detection using SHA1 for detecting data mutations
- Normalized staleness scoring (0-1 scale) based on age vs maxStale
- Integration with PollMetrics for authoritative last-success data
- Wired into all poll functions (PVE/PBS/PMG) via UpdateSuccess/UpdateError
- Connected to scheduler as StalenessSource implementation
Task 4 of 10 complete. Ready for adaptive interval logic.
Track minimum and maximum CPU temperatures since monitoring started.
This provides better insight into temperature trends and cooling
adequacy over time.
Changes:
- Backend: Add CPUMin, CPUMaxRecord, MinRecorded, MaxRecorded fields
to Temperature model
- Backend: Implement min/max tracking logic in monitoring cycle that
preserves values across polling cycles
- Backend: Initialize min/max on first reading, update on extremes
- Frontend: Update Temperature TypeScript interface with new fields
- Frontend: Display min/max range in NodeCard tooltip (e.g., "52°C
(48-67°C since monitoring started)")
- Frontend: Rebuild dist assets
Temperature display now shows:
- Current temperature with color coding (green/yellow/red)
- Tooltip with full min-max range and context
- Min/max tracked in-memory (resets on Pulse restart)
Example tooltip: "CPU: 52°C (48-67°C since monitoring started)"
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fix script input handling to work with standard curl | bash pattern by prioritizing /dev/tty
- Add Raspberry Pi temperature sensor support (cpu_thermal chip and generic temp sensors)
- Add comprehensive documentation for turnkey standalone node setup
- Fix printf formatting error in setup script
