$ show benjamin-dcs/gauge-card-pro
Gauge Card Pro is a Home Assistant Lovelace custom card that renders highly customizable gauge visualizations. It extends the native HA Gauge card with dual gauge layers (main and inner), gradient and severity modes, climate control features (HVAC, fan, swing, preset, temperature), template support, and a full visual editor. The card is built as a Lit web component and integrates deeply with Home Assistant's frontend, using internalized copies of HA and Mushroom dependencies for actions, entities, translations, and forms. Key entry points are `src/card/card.ts` (main card class) and `src/editor/editor.ts` (visual editor). Data flows from user configuration (YAML or UI) combined with HA entity state to compute gauge angles, gradient strings, indicators, and value displays. The system relies on external libraries like Lit, tinygradient, superstruct, and zod, and is distributed as a HACS plugin.
The LLM identified 4 files worth highlighting for reuse:
Abstract base class for gauge components (main gauge, inner gauge, value elements). Encapsulates shared SVG rendering logic, including gradient backgrounds, severity modes, min/max indicators, and transitions. Demonstrates clean separation of concerns and can be reused for any gauge-like component in a different context.
Generic cache manager with time-to-live (TTL) expiration. Provides `get`, `set`, `has`, `delete`, and `clear` methods. Fully typed and self-contained, making it easily extractable for any project needing a simple in-memory cache with automatic eviction.
Utility function to set a value at a dot-notation path in a nested object, creating intermediate objects/arrays as needed. Also includes `deleteKey` and `moveKey` in sibling files. These are generic, well-tested helpers that can be reused across projects for config migration or state management.
Core engine for segment validation and conic-gradient string generation. Converts user-defined segment configurations (from/pos/color) into CSS gradient strings with interpolation and caching (LRU cache). The algorithm is self-contained and could be extracted for any project needing dynamic gradient generation from discrete color stops.