Oliver Kieselbach
2cdebaa7fc
Converts repeated Fact-clusters across the V2 Agent and DecisionCore test suites into data-driven Theories, and extracts two oft-duplicated inner fixture/rig classes into reusable Harness helpers. Net: smaller files and more coverage via InlineData rows for edge cases that had no own Fact before. Wave 1 — Fact→Theory consolidations (10 files): - RemoteConfigMergerTests: LogLevel parsing (3 Facts → 1 Theory, 9 rows including new Whitespace/Empty/Null + case-insensitive combos). - ImeLogTrackerAdapterTests: EspPhaseChanged phase-mapping (3 Facts → 1 Theory, 7 rows + Finalizing alias, Complete, preboot). - InformationalEventPostTests: eventType/source validation + evidenceSummary precedence (3 Facts → 2 Theories with 4+4 rows). - ProgramGuardsTests: CheckEnrollmentCompleteMarker matrix (3 Facts → 1 Theory with 4 rows incl. new (no-marker, no-selfdestruct) cell). - AuthFailureTrackerTests: distress dispatch (2 Facts → 1 Theory, 5 rows incl. 403 dedup + 500 catch-all). - SessionIdPersistenceTests: ctor rejection (1 Fact → 3 rows) + LoadSessionCreatedAt null-return (2 Facts → 5 rows incl. empty/whitespace /out-of-range dates). - TelemetrySpoolTests: MarkUploaded regression guard (1 Fact, 3 inline calls → 1 Theory with 5 rows incl. same-value idempotence). - ReducerReplayTests: null-arg rejection (1 Fact, 3 asserts → 1 Theory). - AppInstallSignalHandlerTests: newState → breakdown (4 Facts → 1 Theory, 7 rows incl. case-insensitive lowercase/uppercase + empty). - ClassicAwaitingHelloGuardTests: 8 Facts → 2 Theories with 6 rows each (full skipUser × accountSetupEntered matrix; 4 new cells). Wave 2 — Shared Harness extraction (2 new helpers): - ImeLogTrackerAdapterFixture.cs (60 LOC) replaces 5× duplicated inner Fixture classes across ImeLogTrackerAdapter*Tests.cs (~150 LOC saved). - EnrollmentOrchestratorRig.cs (65 LOC) replaces 6× near-identical Rig/ Build helpers across EnrollmentOrchestrator*Tests.cs (~200 LOC saved). Results: - AutopilotMonitor.Agent.V2.Core.Tests: 679 tests (was 650), all green. - AutopilotMonitor.DecisionCore.Tests: 220 tests (was 164), all green. - 22 files changed, +350 / -825 lines (-475 net). - No production code touched; no V1 code touched. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Autopilot Monitor
Advanced monitoring and troubleshooting solution for Windows Autopilot deployments. Gain full visibility into every enrollment session with a detailed event timeline, fleet health dashboards, and session reporting. Define custom analysis rules to automatically detect issues and gather rules to collect targeted evidence. Retrieve diagnostics packages on demand, configure agent settings like auto-reboot behavior and automatic timezone adjustment — all managed centrally from the web dashboard.
Private Preview
Autopilot Monitor is currently running as a Private Preview. Visit autopilotmonitor.com to request access and learn more.
Overview
Autopilot Monitor provides real-time tracking, intelligent diagnostics, and automated troubleshooting for Windows Autopilot enrollment processes. It consists of:
- Bootstrap Script — PowerShell script deployed via Intune that starts monitoring early in the enrollment process
- Monitoring Agent — Lightweight .NET application that collects telemetry and evidence during enrollment
- Backend API — Azure Functions-based ingestion and processing pipeline
- Web Dashboard — Next.js application for real-time monitoring and fleet analytics
Architecture
For detailed information about the system architecture, components, and data flow, see Architecture Documentation.
Documentation
Full documentation is available at autopilotmonitor.com/docs
License
This project uses a split licensing model:
- MIT License — Agent (
src/Agent/) and Shared library (src/Shared/) — unrestricted use on end-user devices - AGPL-3.0 — Backend (
src/Backend/), Web Dashboard (src/Web/), and MCP Server (src/McpServer/) — server-side components remain open source
See LICENSE for full details.