Initial commit for Greenlens

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Timo Knuth
2026-03-16 21:31:46 +01:00
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# GreenLens
# Run and deploy your AI Studio app
This contains everything you need to run your app locally.
View your app in AI Studio: https://ai.studio/apps/drive/1cQZAaCmJNVx9ML_ZZV-F0gNCNhjSrgd8
## Run Locally
**Prerequisites:** Node.js
Expo app for plant scanning, care tracking, lexicon browsing, and profile settings.
## Run locally
1. Install dependencies:
`npm install`
2. Set the `GEMINI_API_KEY` in [.env.local](.env.local) to your Gemini API key
3. Run the app:
`npm run dev`
- `npm install`
2. Start Expo:
- `npm run start`
## iOS TestFlight (EAS)
Use these three commands in order:
1. Set iOS build number:
- `npx eas-cli build:version:set -p ios`
2. Create production iOS build:
- `npx eas-cli build -p ios --profile production`
3. Submit latest iOS build to TestFlight:
- `npx eas-cli submit -p ios --latest`
## Lexicon SQLite maintenance
The server now uses a persistent SQLite database (`server/data/greenlns.sqlite`) and supports validated rebuilds.
1. Install server dependencies:
- `cd server && npm install`
2. Run the server:
- `npm run start`
3. Rebuild plants from the local lexicon batch constants:
- `npm run rebuild:batches`
4. Check duplicates and import audits:
- `npm run diagnostics`
For protected rebuild endpoints, set `PLANT_IMPORT_ADMIN_KEY` and send `x-admin-key` in requests.
### Local plant images
The lexicon now supports storing plant image paths in SQLite as local public paths instead of external URLs.
Recommended structure:
- Database field: `imageUri`
- Value example: `/plants/monstera-deliciosa.webp`
- File location on disk: `server/public/plants/monstera-deliciosa.webp`
Notes:
- The Express server serves `server/public/plants` at `/plants/*`.
- Remote `https://...` image URLs still work, so migration can be incremental.
- Keep the database focused on metadata and store only the image path, not binary blobs.
## Billing and backend simulation
The app now uses a backend API contract for paid AI features:
- Scan AI (`/v1/scan`)
- Semantic AI search (`/v1/search/semantic`)
- Billing summary (`/v1/billing/summary`)
- Health check AI (`/v1/health-check`)
The Node server in `server/index.js` now implements these `/v1` routes directly and uses:
- `server/lib/openai.js` for OpenAI calls
- `server/lib/billing.js` for credit/billing/idempotency state
If `EXPO_PUBLIC_BACKEND_URL` is not set, the app uses an in-app mock backend simulation for `/v1/*` API calls.
`EXPO_PUBLIC_PAYMENT_SERVER_URL` is used only for Stripe PaymentSheet calls (`/api/payment-sheet`).
The in-app mock backend provides:
- Server-side style credit enforcement
- Atomic `consumeCredit()` behavior
- Idempotency-key handling
- Free and Pro monthly credit buckets
- Top-up purchase simulation
- RevenueCat/Stripe webhook simulation
This makes it possible to build UI and flow now, then replace mock endpoints with a real backend later.
## Production integration notes
- Keep OpenAI keys only on the backend.
- Use app-store billing via RevenueCat or StoreKit/Play Billing.
- Forward entitlement updates to backend webhooks.
- Enforce credits on backend only; app should only display UX quota.
- Recommended backend env vars:
- `OPENAI_API_KEY`
- `OPENAI_SCAN_MODEL` (for example `gpt-5`)
- `OPENAI_HEALTH_MODEL` (for example `gpt-5`)
- `STRIPE_SECRET_KEY`
- `STRIPE_PUBLISHABLE_KEY`