☀️ @smartplant/lighting

Advises on placement, exposure hours and grow-light use.

A plugin for smartplant — a bridge between AI and plants.

Install

npm install smartplant @smartplant/lighting

Use

import { createPlant } from 'smartplant'
import lighting from '@smartplant/lighting'

const plant = await createPlant( {
  name    : 'Ivy',
  species : 'Monstera deliciosa',
  sensor  : 'mock',                  // no hardware needed
  ai      : { provider : 'ollama' }, // or gemini / openai / claude / grok
} )

await plant.use( lighting )
await plant.read()

const result = await plant.plugin( 'lighting' ).optimizeLight( { windowDirection : 'north' } )
console.log( result.advice, result.emoji )

API

optimizeLight( input? )

Returns { advice, emoji, severity, hoursNeeded, needsGrowLight }.

input is optional; anything you pass is handed to the AI as extra context alongside the plant's readings, trends and care history.

If the AI is unreachable or unconfigured, the call returns the deterministic offline result rather than throwing.

Events

• Listens to plant:too-dark, emits lighting:insufficient.

Daily light hours, computed locally

plant.plugin( 'lighting' ).dailyLightHours( 200 )  // hours above 200 lux in the last 24h

Test

npm test

Runs against the mock sensor and mock AI provider — no hardware, no API key, no network.

📜 License

MIT — see LICENSE.