Month: 2026-05 — Implemented APC Back-UPS ES 650G1 real-time power estimation in the homeassistant-powercalc integration. Added a dedicated NUT UPS power profile and used the existing fixed-strategy template to estimate real power from ups.load. Because the ES 650G1 reports load in 10% increments and does not provide ups.realpower, power is derived from nominal VA and power factor. This change improves energy visibility for UPS-backed setups and supports more informed backup planning.

Concise monthly summary for 2026-04 focusing on business value and technical achievements. Realized business value by enabling real-time UPS power monitoring and smarter energy management in Home Assistant PowerCalc. Implemented new UPS device type and Tripp Lite power profile with a real-time calculation using load percentage, nominal VA rating, and power factor via a fixed strategy and Jinja2 templating. Enhanced discovery with NUT auto-discovery and device-based setup to prevent duplicate flows and simplify user onboarding. Improved documentation with documentation_url support and UPS cookbook coverage. Strengthened code quality with tests, pre-commit fixes, and improvements around entity resolution and placeholder handling. Overall impact includes more reliable, scalable UPS monitoring, faster deployment, and clearer energy insights for critical systems.

March 2026 (2026-03) – Focused delivery and reliability improvements for bramstroker/homeassistant-powercalc. Key features delivered include: (1) Quality Assurance Enhancements for Measure.ask_questions, expanding test coverage and maintainability with new constants and robust test data; (2) AGENTS.md added to standardize AI coding agent conventions, project structure, Python standards, and testing protocols; (3) Energy monitoring enhancement via a HP Color LaserJet Pro MFP 3301 power profile to improve idle/active state tracking; (4) Automation of issue assignment with a GitHub Action to auto-assign UPS/printer issues, accelerating triage. Major bugs fixed include stabilizing Measure.ask_questions tests (imports, coverage paths, and CI related issues) to improve reliability. Overall impact includes higher code quality, faster onboarding, and more predictable CI, along with operational improvements in energy monitoring and issue routing. Technologies/skills demonstrated: Python, pytest, test patterns, centralized constants, typing, linting (ruff/mypy), GitHub Actions, and documentation standards.

February 2026: Focused on frontend stability for the librenms/librenms device syslog UI. No new features shipped this month; major work centered on diagnosing and fixing a JavaScript syntax error in the Device Syslog Filters dropdown that prevented the bootgrid AJAX fetch on the device syslog tab. The fix, implemented in commit 3c8d41a4bc41b787576b2632e8e67be8ee9d7033, addresses issues #19089 and #19090. Impact: restored reliable syslog filtering, improved device diagnostics, and reduced potential support overhead. Demonstrated skills in frontend debugging, precise patching, and cross-team collaboration.

Monthly summary for 2024-11 focused on expanding device support and improving development tooling for the bramstroker/homeassistant-powercalc repository. Key features delivered include a new integration for Twinkly 600 LED lights (model TWS600STP) via a dedicated model configuration to enable end-to-end control. Supporting tooling improvements were implemented to reduce setup friction and improve maintainability: the library update workflow now auto-creates a default manufacturer.json when missing, and a formatting pass standardized GitHub scripts for readability and consistency. These efforts collectively enhance device coverage, reduce onboarding and CI friction, and improve long-term maintainability.