From 820a872f071b99e077cc9945f50a3e838757581f Mon Sep 17 00:00:00 2001 From: Michael Freno Date: Fri, 5 Jun 2026 19:21:16 -0400 Subject: [PATCH] Initial commit: Plant Disease Identification app - Next.js 16 App Router project with Tailwind CSS - Plant disease knowledge base (93 diseases, 25 plants) - Image upload with client+server preprocessing - ML inference pipeline with mock/demo fallback - Responsive results page with disease cards and treatment - Full test suite (285 passing tests) --- .gitignore | 47 + apps/web/.env.local.example | 11 + apps/web/.gitattributes | 2 + apps/web/.gitignore | 50 + apps/web/.prettierrc | 8 + apps/web/AGENTS.md | 5 + apps/web/CLAUDE.md | 1 + apps/web/README.md | 36 + apps/web/eslint.config.mjs | 18 + apps/web/next.config.ts | 17 + apps/web/package-lock.json | 8389 +++++++++++++++++ apps/web/package.json | 36 + apps/web/postcss.config.mjs | 7 + apps/web/public/file.svg | 1 + apps/web/public/globe.svg | 1 + apps/web/public/models/.gitkeep | 0 apps/web/public/next.svg | 1 + apps/web/public/vercel.svg | 1 + apps/web/public/window.svg | 1 + apps/web/scripts/smoke-test.mjs | 218 + apps/web/src/__tests__/diseases.test.ts | 400 + apps/web/src/app/about/page.tsx | 249 + apps/web/src/app/api/diseases/[id]/route.ts | 44 + apps/web/src/app/api/diseases/route.ts | 79 + apps/web/src/app/api/health/route.ts | 13 + .../web/src/app/api/identify/identify.test.ts | 241 + apps/web/src/app/api/identify/route.ts | 263 + apps/web/src/app/api/plants/[id]/route.ts | 37 + apps/web/src/app/api/plants/route.ts | 65 + apps/web/src/app/api/upload/route.ts | 188 + apps/web/src/app/api/upload/upload.test.ts | 141 + apps/web/src/app/browse/BrowseContent.tsx | 169 + apps/web/src/app/browse/[plantId]/page.tsx | 297 + apps/web/src/app/browse/page.tsx | 34 + apps/web/src/app/favicon.ico | Bin 0 -> 25931 bytes apps/web/src/app/globals.css | 120 + apps/web/src/app/layout.tsx | 52 + apps/web/src/app/not-found.tsx | 38 + apps/web/src/app/page.tsx | 182 + apps/web/src/app/results/[imageId]/page.tsx | 114 + apps/web/src/app/results/page.tsx | 9 + apps/web/src/app/upload/page.tsx | 74 + apps/web/src/components/.gitkeep | 0 .../src/components/ConfidenceBadge.test.tsx | 171 + apps/web/src/components/ConfidenceBadge.tsx | 149 + apps/web/src/components/DiseaseCard.test.tsx | 237 + apps/web/src/components/DiseaseCard.tsx | 343 + apps/web/src/components/EmptyState.tsx | 63 + apps/web/src/components/ErrorBoundary.tsx | 101 + apps/web/src/components/Footer.tsx | 79 + apps/web/src/components/ImageUpload.tsx | 543 ++ apps/web/src/components/LoadingSkeleton.tsx | 126 + .../src/components/LookalikeWarning.test.tsx | 168 + apps/web/src/components/LookalikeWarning.tsx | 185 + apps/web/src/components/Navbar.tsx | 287 + apps/web/src/components/PlantCard.tsx | 53 + apps/web/src/components/ResultsDashboard.tsx | 212 + .../src/components/SymptomChecker.test.tsx | 159 + apps/web/src/components/SymptomChecker.tsx | 124 + .../src/components/TreatmentTimeline.test.tsx | 120 + apps/web/src/components/TreatmentTimeline.tsx | 155 + apps/web/src/data/.gitkeep | 0 apps/web/src/data/diseases.json | 3524 +++++++ apps/web/src/data/plants.json | 263 + apps/web/src/data/plants.ts | 727 ++ apps/web/src/lib/.gitkeep | 0 apps/web/src/lib/api/.gitkeep | 0 apps/web/src/lib/api/diseases.ts | 315 + apps/web/src/lib/api/identify.ts | 49 + apps/web/src/lib/api/upload.ts | 89 + apps/web/src/lib/constants.ts | 69 + apps/web/src/lib/image-processing.test.ts | 241 + apps/web/src/lib/image-processing.ts | 257 + apps/web/src/lib/ml/.gitkeep | 0 apps/web/src/lib/ml/confidence.test.ts | 342 + apps/web/src/lib/ml/confidence.ts | 204 + apps/web/src/lib/ml/inference.test.ts | 244 + apps/web/src/lib/ml/inference.ts | 141 + apps/web/src/lib/ml/labels.test.ts | 226 + apps/web/src/lib/ml/labels.ts | 101 + apps/web/src/lib/ml/model-loader.ts | 378 + .../src/lib/server/image-processing-server.ts | 51 + apps/web/src/lib/types.ts | 180 + apps/web/src/test/mocks/onnxruntime-node.ts | 9 + apps/web/src/test/mocks/tfjs-node.ts | 29 + apps/web/src/test/mocks/tfjs.ts | 21 + apps/web/src/test/setup.ts | 61 + apps/web/src/test/vitest.d.ts | 1 + apps/web/tailwind.config.ts | 71 + apps/web/tsconfig.json | 35 + apps/web/vercel.json | 24 + apps/web/vitest.config.ts | 31 + .../01-nextjs-project-scaffold.md | 65 + .../02-plant-disease-knowledge-base.md | 66 + .../03-image-upload-and-preprocessing.md | 69 + .../04-ml-model-integration.md | 100 + .../05-identification-results-page.md | 90 + .../06-user-interface-and-polish.md | 103 + .../07-testing-and-deployment.md | 134 + .../hyper-specific-plant-disease-id/README.md | 27 + 100 files changed, 23271 insertions(+) create mode 100644 .gitignore create mode 100644 apps/web/.env.local.example create mode 100644 apps/web/.gitattributes create mode 100644 apps/web/.gitignore create mode 100644 apps/web/.prettierrc create mode 100644 apps/web/AGENTS.md create mode 100644 apps/web/CLAUDE.md create mode 100644 apps/web/README.md create mode 100644 apps/web/eslint.config.mjs create mode 100644 apps/web/next.config.ts create mode 100644 apps/web/package-lock.json create mode 100644 apps/web/package.json create mode 100644 apps/web/postcss.config.mjs create mode 100644 apps/web/public/file.svg create mode 100644 apps/web/public/globe.svg create mode 100644 apps/web/public/models/.gitkeep create mode 100644 apps/web/public/next.svg create mode 100644 apps/web/public/vercel.svg create mode 100644 apps/web/public/window.svg create mode 100644 apps/web/scripts/smoke-test.mjs create mode 100644 apps/web/src/__tests__/diseases.test.ts create mode 100644 apps/web/src/app/about/page.tsx create mode 100644 apps/web/src/app/api/diseases/[id]/route.ts create mode 100644 apps/web/src/app/api/diseases/route.ts create mode 100644 apps/web/src/app/api/health/route.ts create mode 100644 apps/web/src/app/api/identify/identify.test.ts create mode 100644 apps/web/src/app/api/identify/route.ts create mode 100644 apps/web/src/app/api/plants/[id]/route.ts create mode 100644 apps/web/src/app/api/plants/route.ts create mode 100644 apps/web/src/app/api/upload/route.ts create mode 100644 apps/web/src/app/api/upload/upload.test.ts create mode 100644 apps/web/src/app/browse/BrowseContent.tsx create mode 100644 apps/web/src/app/browse/[plantId]/page.tsx create mode 100644 apps/web/src/app/browse/page.tsx create mode 100644 apps/web/src/app/favicon.ico create mode 100644 apps/web/src/app/globals.css create mode 100644 apps/web/src/app/layout.tsx create mode 100644 apps/web/src/app/not-found.tsx create mode 100644 apps/web/src/app/page.tsx create mode 100644 apps/web/src/app/results/[imageId]/page.tsx create mode 100644 apps/web/src/app/results/page.tsx create mode 100644 apps/web/src/app/upload/page.tsx create mode 100644 apps/web/src/components/.gitkeep create mode 100644 apps/web/src/components/ConfidenceBadge.test.tsx create mode 100644 apps/web/src/components/ConfidenceBadge.tsx create mode 100644 apps/web/src/components/DiseaseCard.test.tsx create mode 100644 apps/web/src/components/DiseaseCard.tsx create mode 100644 apps/web/src/components/EmptyState.tsx create mode 100644 apps/web/src/components/ErrorBoundary.tsx create mode 100644 apps/web/src/components/Footer.tsx create mode 100644 apps/web/src/components/ImageUpload.tsx create mode 100644 apps/web/src/components/LoadingSkeleton.tsx create mode 100644 apps/web/src/components/LookalikeWarning.test.tsx create mode 100644 apps/web/src/components/LookalikeWarning.tsx create mode 100644 apps/web/src/components/Navbar.tsx create mode 100644 apps/web/src/components/PlantCard.tsx create mode 100644 apps/web/src/components/ResultsDashboard.tsx create mode 100644 apps/web/src/components/SymptomChecker.test.tsx create mode 100644 apps/web/src/components/SymptomChecker.tsx create mode 100644 apps/web/src/components/TreatmentTimeline.test.tsx create mode 100644 apps/web/src/components/TreatmentTimeline.tsx create mode 100644 apps/web/src/data/.gitkeep create mode 100644 apps/web/src/data/diseases.json create mode 100644 apps/web/src/data/plants.json create mode 100644 apps/web/src/data/plants.ts create mode 100644 apps/web/src/lib/.gitkeep create mode 100644 apps/web/src/lib/api/.gitkeep create mode 100644 apps/web/src/lib/api/diseases.ts create mode 100644 apps/web/src/lib/api/identify.ts create mode 100644 apps/web/src/lib/api/upload.ts create mode 100644 apps/web/src/lib/constants.ts create mode 100644 apps/web/src/lib/image-processing.test.ts create mode 100644 apps/web/src/lib/image-processing.ts create mode 100644 apps/web/src/lib/ml/.gitkeep create mode 100644 apps/web/src/lib/ml/confidence.test.ts create mode 100644 apps/web/src/lib/ml/confidence.ts create mode 100644 apps/web/src/lib/ml/inference.test.ts create mode 100644 apps/web/src/lib/ml/inference.ts create mode 100644 apps/web/src/lib/ml/labels.test.ts create mode 100644 apps/web/src/lib/ml/labels.ts create mode 100644 apps/web/src/lib/ml/model-loader.ts create mode 100644 apps/web/src/lib/server/image-processing-server.ts create mode 100644 apps/web/src/lib/types.ts create mode 100644 apps/web/src/test/mocks/onnxruntime-node.ts create mode 100644 apps/web/src/test/mocks/tfjs-node.ts create mode 100644 apps/web/src/test/mocks/tfjs.ts create mode 100644 apps/web/src/test/setup.ts create mode 100644 apps/web/src/test/vitest.d.ts create mode 100644 apps/web/tailwind.config.ts create mode 100644 apps/web/tsconfig.json create mode 100644 apps/web/vercel.json create mode 100644 apps/web/vitest.config.ts create mode 100644 tasks/hyper-specific-plant-disease-id/01-nextjs-project-scaffold.md create mode 100644 tasks/hyper-specific-plant-disease-id/02-plant-disease-knowledge-base.md create mode 100644 tasks/hyper-specific-plant-disease-id/03-image-upload-and-preprocessing.md create mode 100644 tasks/hyper-specific-plant-disease-id/04-ml-model-integration.md create mode 100644 tasks/hyper-specific-plant-disease-id/05-identification-results-page.md create mode 100644 tasks/hyper-specific-plant-disease-id/06-user-interface-and-polish.md create mode 100644 tasks/hyper-specific-plant-disease-id/07-testing-and-deployment.md create mode 100644 tasks/hyper-specific-plant-disease-id/README.md diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..d9ac18c --- /dev/null +++ b/.gitignore @@ -0,0 +1,47 @@ +# dependencies +node_modules/ +.pnp +.pnp.* +.yarn/* +!.yarn/patches +!.yarn/plugins +!.yarn/releases +!.yarn/versions + +# testing +coverage/ + +# next.js +.next/ +out/ + +# production +build/ + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* + +# env files — commit .env.local.example template, but not actual secrets +.env*.local +!.env.local.example + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts + +# uploaded images (user-generated content) +apps/web/public/uploads/* +!apps/web/public/uploads/.gitkeep + +# pi agent state +.ralpi/ diff --git a/apps/web/.env.local.example b/apps/web/.env.local.example new file mode 100644 index 0000000..d4cefa4 --- /dev/null +++ b/apps/web/.env.local.example @@ -0,0 +1,11 @@ +# Plant Disease Identification — Environment Variables +# Copy this file to .env.local and fill in real values. + +# Path to compiled ML model files (relative to public/) +NEXT_PUBLIC_MODEL_PATH=/models + +# (Future) API key for external plant disease databases +# PLANT_ID_API_KEY= + +# (Future) OpenAI / vision model API key for image analysis +# OPENAI_API_KEY= diff --git a/apps/web/.gitattributes b/apps/web/.gitattributes new file mode 100644 index 0000000..ce22102 --- /dev/null +++ b/apps/web/.gitattributes @@ -0,0 +1,2 @@ +# Git LFS for compiled ML model files +public/models/* filter=lfs diff=lfs merge=lfs -text diff --git a/apps/web/.gitignore b/apps/web/.gitignore new file mode 100644 index 0000000..58072e2 --- /dev/null +++ b/apps/web/.gitignore @@ -0,0 +1,50 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.* +.yarn/* +!.yarn/patches +!.yarn/plugins +!.yarn/releases +!.yarn/versions + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* + +# env files — commit templates, not actual secrets +.env*.local +!.env.local.example + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts + +# Uploaded images (user-generated content) +/public/uploads/* +!/public/uploads/.gitkeep + +# ML model binaries (tracked via Git LFS) +# Add to .gitattributes for LFS: +# public/models/* filter=lfs diff=lfs merge=lfs -text diff --git a/apps/web/.prettierrc b/apps/web/.prettierrc new file mode 100644 index 0000000..5e24f14 --- /dev/null +++ b/apps/web/.prettierrc @@ -0,0 +1,8 @@ +{ + "semi": true, + "trailingComma": "all", + "singleQuote": false, + "printWidth": 100, + "tabWidth": 2, + "useTabs": false +} diff --git a/apps/web/AGENTS.md b/apps/web/AGENTS.md new file mode 100644 index 0000000..8bd0e39 --- /dev/null +++ b/apps/web/AGENTS.md @@ -0,0 +1,5 @@ + +# This is NOT the Next.js you know + +This version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in `node_modules/next/dist/docs/` before writing any code. Heed deprecation notices. + diff --git a/apps/web/CLAUDE.md b/apps/web/CLAUDE.md new file mode 100644 index 0000000..43c994c --- /dev/null +++ b/apps/web/CLAUDE.md @@ -0,0 +1 @@ +@AGENTS.md diff --git a/apps/web/README.md b/apps/web/README.md new file mode 100644 index 0000000..e215bc4 --- /dev/null +++ b/apps/web/README.md @@ -0,0 +1,36 @@ +This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app). + +## Getting Started + +First, run the development server: + +```bash +npm run dev +# or +yarn dev +# or +pnpm dev +# or +bun dev +``` + +Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. + +You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file. + +This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel. + +## Learn More + +To learn more about Next.js, take a look at the following resources: + +- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. +- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. + +You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome! + +## Deploy on Vercel + +The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. + +Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details. diff --git a/apps/web/eslint.config.mjs b/apps/web/eslint.config.mjs new file mode 100644 index 0000000..05e726d --- /dev/null +++ b/apps/web/eslint.config.mjs @@ -0,0 +1,18 @@ +import { defineConfig, globalIgnores } from "eslint/config"; +import nextVitals from "eslint-config-next/core-web-vitals"; +import nextTs from "eslint-config-next/typescript"; + +const eslintConfig = defineConfig([ + ...nextVitals, + ...nextTs, + // Override default ignores of eslint-config-next. + globalIgnores([ + // Default ignores of eslint-config-next: + ".next/**", + "out/**", + "build/**", + "next-env.d.ts", + ]), +]); + +export default eslintConfig; diff --git a/apps/web/next.config.ts b/apps/web/next.config.ts new file mode 100644 index 0000000..f4257b2 --- /dev/null +++ b/apps/web/next.config.ts @@ -0,0 +1,17 @@ +import type { NextConfig } from "next"; + +const nextConfig: NextConfig = { + // Turbopack config (Next.js 16 default) + turbopack: {}, + // Webpack config (fallback) + webpack: (config) => { + config.resolve.alias = { + ...config.resolve.alias, + sharp: false, + "detect-libc": false, + }; + return config; + }, +}; + +export default nextConfig; diff --git a/apps/web/package-lock.json b/apps/web/package-lock.json new file mode 100644 index 0000000..2ddacbe --- /dev/null +++ b/apps/web/package-lock.json @@ -0,0 +1,8389 @@ +{ + "name": "plant-disease-id", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "plant-disease-id", + "version": "0.1.0", + "dependencies": { + "next": "16.2.7", + "react": "19.2.4", + "react-dom": "19.2.4", + "sharp": "^0.34.5", + "uuid": "^14.0.0" + }, + "devDependencies": { + "@tailwindcss/postcss": "^4", + "@testing-library/jest-dom": "^6.9.1", + "@testing-library/react": "^16.3.2", + "@types/jsdom": "^28.0.3", + "@types/node": "^20", + "@types/react": "^19", + "@types/react-dom": "^19", + 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"test:watch": "vitest" + }, + "dependencies": { + "next": "16.2.7", + "react": "19.2.4", + "react-dom": "19.2.4", + "sharp": "^0.34.5", + "uuid": "^14.0.0" + }, + "devDependencies": { + "@tailwindcss/postcss": "^4", + "@testing-library/jest-dom": "^6.9.1", + "@testing-library/react": "^16.3.2", + "@types/jsdom": "^28.0.3", + "@types/node": "^20", + "@types/react": "^19", + "@types/react-dom": "^19", + "@types/uuid": "^10.0.0", + "eslint": "^9", + "eslint-config-next": "16.2.7", + "jsdom": "^29.1.1", + "tailwindcss": "^4", + "typescript": "^5", + "vitest": "^4.1.8" + } +} diff --git a/apps/web/postcss.config.mjs b/apps/web/postcss.config.mjs new file mode 100644 index 0000000..61e3684 --- /dev/null +++ b/apps/web/postcss.config.mjs @@ -0,0 +1,7 @@ +const config = { + plugins: { + "@tailwindcss/postcss": {}, + }, +}; + +export default config; diff --git a/apps/web/public/file.svg b/apps/web/public/file.svg new file mode 100644 index 0000000..004145c --- /dev/null +++ b/apps/web/public/file.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/apps/web/public/globe.svg b/apps/web/public/globe.svg new file mode 100644 index 0000000..567f17b --- /dev/null +++ b/apps/web/public/globe.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/apps/web/public/models/.gitkeep b/apps/web/public/models/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/apps/web/public/next.svg b/apps/web/public/next.svg new file mode 100644 index 0000000..5174b28 --- /dev/null +++ b/apps/web/public/next.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/apps/web/public/vercel.svg b/apps/web/public/vercel.svg new file mode 100644 index 0000000..7705396 --- /dev/null +++ b/apps/web/public/vercel.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/apps/web/public/window.svg b/apps/web/public/window.svg new file mode 100644 index 0000000..b2b2a44 --- /dev/null +++ b/apps/web/public/window.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/apps/web/scripts/smoke-test.mjs b/apps/web/scripts/smoke-test.mjs new file mode 100644 index 0000000..2cc38f6 --- /dev/null +++ b/apps/web/scripts/smoke-test.mjs @@ -0,0 +1,218 @@ +#!/usr/bin/env node +/** + * Smoke test script for the Plant Disease Knowledge Base API. + * Validates all seed data has no missing references and all API endpoints work. + * + * Usage: + * # With dev server running: + * node scripts/smoke-test.mjs + * + * # With custom base URL: + * BASE_URL=http://localhost:3001 node scripts/smoke-test.mjs + */ + +import { validateKnowledgeBase, plants, diseases } from "../src/lib/api/diseases.ts"; + +const BASE_URL = process.env.BASE_URL || "http://localhost:3000"; +const results = { passed: 0, failed: 0, errors: [] }; + +function pass(test) { + results.passed++; + console.log(` ✅ ${test}`); +} + +function fail(test, message) { + results.failed++; + results.errors.push({ test, message }); + console.log(` ❌ ${test}: ${message}`); +} + +async function fetchJSON(path) { + const res = await fetch(`${BASE_URL}${path}`); + const data = await res.json(); + return { status: res.status, data, headers: Object.fromEntries(res.headers) }; +} + +console.log("\n🌿 Plant Disease Knowledge Base — Smoke Tests\n"); + +// ── Phase 1: Data Validation ────────────────────────────────────────────── +console.log("Phase 1: Seed Data Validation"); + +const validationErrors = validateKnowledgeBase(); +if (validationErrors.length === 0) { + pass("Knowledge base validation passed (no errors)"); +} else { + fail("Knowledge base validation", validationErrors.join("; ")); +} + +if (plants.length >= 20) { + pass(`Plant count: ${plants.length} (≥20)`); +} else { + fail("Plant count", `Only ${plants.length} plants (need ≥20)`); +} + +if (diseases.length >= 80) { + pass(`Disease count: ${diseases.length} (≥80)`); +} else { + fail("Disease count", `Only ${diseases.length} diseases (need ≥80)`); +} + +const uniquePlantIds = new Set(diseases.map((d) => d.plantId)); +if (uniquePlantIds.size >= 20) { + pass(`Diseases span ${uniquePlantIds.size} plants (≥20)`); +} else { + fail("Disease plant coverage", `Only ${uniquePlantIds.size} plants have diseases`); +} + +const causalTypes = new Set(diseases.map((d) => d.causalAgentType)); +if (causalTypes.size === 4) { + pass(`All 4 causal agent types present: ${[...causalTypes].join(", ")}`); +} else { + fail("Causal agent types", `Only ${causalTypes.size}/4 types present`); +} + +// ── Phase 2: API Endpoint Tests ─────────────────────────────────────────── +console.log("\nPhase 2: API Endpoint Tests"); + +// GET /api/plants +try { + const { status, data } = await fetchJSON("/api/plants"); + if (status === 200 && Array.isArray(data.plants) && data.plants.length >= 20) { + pass(`GET /api/plants returns 200 with ${data.plants.length} plants`); + } else { + fail("GET /api/plants", `Status ${status}, plants: ${data.plants?.length ?? "N/A"}`); + } +} catch (e) { + fail("GET /api/plants", e.message); +} + +// GET /api/plants?search=tomato +try { + const { status, data } = await fetchJSON("/api/plants?search=tomato"); + if (status === 200 && data.plants.length > 0) { + pass(`GET /api/plants?search=tomato returns ${data.plants.length} results`); + } else { + fail("GET /api/plants?search=tomato", `Status ${status}`); + } +} catch (e) { + fail("GET /api/plants?search=tomato", e.message); +} + +// GET /api/plants/tomato +try { + const { status, data } = await fetchJSON("/api/plants/tomato"); + if (status === 200 && data.plant?.id === "tomato" && data.diseases?.length >= 3) { + pass(`GET /api/plants/tomato returns 200 with ${data.diseases.length} diseases`); + } else { + fail("GET /api/plants/tomato", `Status ${status}, plant: ${data.plant?.id ?? "N/A"}`); + } +} catch (e) { + fail("GET /api/plants/tomato", e.message); +} + +// GET /api/plants/unknown-id (should 404) +try { + const { status, data } = await fetchJSON("/api/plants/unknown-id"); + if (status === 404 && data.error === "Not Found") { + pass("GET /api/plants/unknown-id returns 404"); + } else { + fail("GET /api/plants/unknown-id", `Expected 404, got ${status}`); + } +} catch (e) { + fail("GET /api/plants/unknown-id", e.message); +} + +// GET /api/diseases +try { + const { status, data } = await fetchJSON("/api/diseases"); + if (status === 200 && Array.isArray(data.diseases) && data.diseases.length >= 80) { + pass(`GET /api/diseases returns 200 with ${data.diseases.length} diseases`); + } else { + fail("GET /api/diseases", `Status ${status}, diseases: ${data.diseases?.length ?? "N/A"}`); + } +} catch (e) { + fail("GET /api/diseases", e.message); +} + +// GET /api/diseases?plantId=tomato +try { + const { status, data } = await fetchJSON("/api/diseases?plantId=tomato"); + if (status === 200 && data.diseases.length >= 3 && data.diseases.every((d) => d.plantId === "tomato")) { + pass(`GET /api/diseases?plantId=tomato returns ${data.diseases.length} tomato diseases`); + } else { + fail("GET /api/diseases?plantId=tomato", `Status ${status}, count: ${data.diseases?.length ?? "N/A"}`); + } +} catch (e) { + fail("GET /api/diseases?plantId=tomato", e.message); +} + +// GET /api/diseases?search=blight +try { + const { status, data } = await fetchJSON("/api/diseases?search=blight"); + if (status === 200 && data.diseases.length >= 2) { + pass(`GET /api/diseases?search=blight returns ${data.diseases.length} results (≥2)`); + } else { + fail("GET /api/diseases?search=blight", `Status ${status}, count: ${data.diseases?.length ?? "N/A"}`); + } +} catch (e) { + fail("GET /api/diseases?search=blight", e.message); +} + +// GET /api/diseases/early-blight +try { + const { status, data } = await fetchJSON("/api/diseases/early-blight"); + if ( + status === 200 && + data.disease?.id === "early-blight" && + data.plant?.id === "tomato" && + Array.isArray(data.lookalikes) + ) { + pass(`GET /api/diseases/early-blight returns 200 with plant and lookalikes`); + } else { + fail("GET /api/diseases/early-blight", `Status ${status}`); + } +} catch (e) { + fail("GET /api/diseases/early-blight", e.message); +} + +// GET /api/diseases/unknown-id (should 404) +try { + const { status, data } = await fetchJSON("/api/diseases/unknown-id"); + if (status === 404 && data.error === "Not Found") { + pass("GET /api/diseases/unknown-id returns 404"); + } else { + fail("GET /api/diseases/unknown-id", `Expected 404, got ${status}`); + } +} catch (e) { + fail("GET /api/diseases/unknown-id", e.message); +} + +// ── Phase 3: Response Headers ───────────────────────────────────────────── +console.log("\nPhase 3: Response Headers"); + +try { + const { headers } = await fetchJSON("/api/plants"); + const cacheControl = headers["cache-control"] || ""; + if (cacheControl.includes("max-age=3600")) { + pass(`Cache-Control header present: ${cacheControl}`); + } else { + fail("Cache-Control header", `Expected max-age=3600, got: ${cacheControl}`); + } +} catch (e) { + fail("Cache-Control header", e.message); +} + +// ── Summary ─────────────────────────────────────────────────────────────── +console.log("\n" + "─".repeat(50)); +console.log(`Results: ${results.passed} passed, ${results.failed} failed`); + +if (results.failed > 0) { + console.log("\nFailed tests:"); + for (const { test, message } of results.errors) { + console.log(` • ${test}: ${message}`); + } + process.exit(1); +} else { + console.log("\n🎉 All smoke tests passed!\n"); + process.exit(0); +} diff --git a/apps/web/src/__tests__/diseases.test.ts b/apps/web/src/__tests__/diseases.test.ts new file mode 100644 index 0000000..5237115 --- /dev/null +++ b/apps/web/src/__tests__/diseases.test.ts @@ -0,0 +1,400 @@ +import { describe, it, expect } from "vitest"; + +import { + getPlantById, + getDiseaseById, + getDiseasesByPlantId, + getPlantWithDiseases, + getDiseaseWithPlant, + getLookalikeDiseases, + searchPlants, + searchDiseases, + listPlants, + listDiseases, + validateKnowledgeBase, + plants, + diseases, +} from "@/lib/api/diseases"; + +describe("Knowledge Base Data", () => { + it("has ≥20 plants", () => { + expect(plants.length).toBeGreaterThanOrEqual(20); + }); + + it("has ≥80 diseases", () => { + expect(diseases.length).toBeGreaterThanOrEqual(80); + }); + + it("passes cross-reference validation (no errors)", () => { + const errors = validateKnowledgeBase(); + expect(errors).toEqual([]); + }); +}); + +describe("getPlantById", () => { + it("returns plant for known ID", () => { + const plant = getPlantById("tomato"); + expect(plant).toBeDefined(); + expect(plant!.commonName).toBe("Tomato"); + expect(plant!.scientificName).toBe("Solanum lycopersicum"); + }); + + it("returns undefined for unknown ID", () => { + expect(getPlantById("nonexistent")).toBeUndefined(); + }); + + it("is case-insensitive", () => { + const plant = getPlantById("TOMATO"); + expect(plant).toBeDefined(); + expect(plant!.commonName).toBe("Tomato"); + }); +}); + +describe("getDiseaseById", () => { + it("returns disease for known ID", () => { + const disease = getDiseaseById("early-blight"); + expect(disease).toBeDefined(); + expect(disease!.name).toBe("Early Blight"); + expect(disease!.plantId).toBe("tomato"); + }); + + it("returns undefined for unknown ID", () => { + expect(getDiseaseById("nonexistent")).toBeUndefined(); + }); +}); + +describe("getDiseasesByPlantId", () => { + it("returns diseases for tomato", () => { + const diseases = getDiseasesByPlantId("tomato"); + expect(diseases.length).toBeGreaterThanOrEqual(3); + expect(diseases.every((d) => d.plantId === "tomato")).toBe(true); + }); + + it("returns empty array for plant with no diseases", () => { + const diseases = getDiseasesByPlantId("nonexistent"); + expect(diseases).toEqual([]); + }); +}); + +describe("getPlantWithDiseases", () => { + it("returns plant with diseases for known ID", () => { + const result = getPlantWithDiseases("tomato"); + expect(result).toBeDefined(); + expect(result!.plant.id).toBe("tomato"); + expect(result!.diseases.length).toBeGreaterThanOrEqual(3); + }); + + it("returns undefined for unknown ID", () => { + expect(getPlantWithDiseases("nonexistent")).toBeUndefined(); + }); +}); + +describe("getDiseaseWithPlant", () => { + it("returns disease with plant for known ID", () => { + const result = getDiseaseWithPlant("early-blight"); + expect(result).toBeDefined(); + expect(result!.disease.id).toBe("early-blight"); + expect(result!.plant.id).toBe("tomato"); + }); + + it("returns undefined for unknown ID", () => { + expect(getDiseaseWithPlant("nonexistent")).toBeUndefined(); + }); +}); + +describe("getLookalikeDiseases", () => { + it("returns lookalike diseases for early blight", () => { + const lookalikes = getLookalikeDiseases("early-blight"); + expect(lookalikes.length).toBeGreaterThan(0); + // Early blight should reference septoria-leaf-spot and late-blight + const lookalikeIds = lookalikes.map((d) => d.id); + expect(lookalikeIds).toContain("septoria-leaf-spot"); + expect(lookalikeIds).toContain("late-blight"); + }); + + it("returns empty array for disease with no lookalikes", () => { + const lookalikes = getLookalikeDiseases("tomato-powdery-mildew"); + expect(lookalikes).toEqual([]); + }); +}); + +describe("searchPlants", () => { + it("returns all plants for empty search", () => { + const results = searchPlants(""); + expect(results).toEqual(plants); + }); + + it("finds tomato by common name", () => { + const results = searchPlants("tomato"); + expect(results.length).toBeGreaterThan(0); + expect(results.some((p) => p.id === "tomato")).toBe(true); + }); + + it("finds plants by scientific name", () => { + const results = searchPlants("Solanum"); + expect(results.length).toBeGreaterThan(0); + expect(results.every((p) => p.scientificName.includes("Solanum"))).toBe(true); + }); + + it("finds plants by family", () => { + const results = searchPlants("Lamiaceae"); + expect(results.length).toBeGreaterThan(0); + expect(results.every((p) => p.family === "Lamiaceae")).toBe(true); + }); + + it("finds plants by category", () => { + const results = searchPlants("houseplant"); + expect(results.length).toBeGreaterThan(0); + expect(results.every((p) => p.category === "houseplant")).toBe(true); + }); + + it("returns empty array for no matches", () => { + const results = searchPlants("xyznonexistent123"); + expect(results).toEqual([]); + }); +}); + +describe("searchDiseases", () => { + it("returns all diseases for empty search", () => { + const results = searchDiseases(""); + expect(results).toEqual(diseases); + }); + + it("finds diseases by name", () => { + const results = searchDiseases("blight"); + expect(results.length).toBeGreaterThanOrEqual(2); + }); + + it("finds diseases by scientific name", () => { + const results = searchDiseases("Alternaria"); + expect(results.length).toBeGreaterThan(0); + }); + + it("finds diseases by description content", () => { + const results = searchDiseases("calcium"); + expect(results.length).toBeGreaterThan(0); + }); + + it("finds diseases by symptom text", () => { + const results = searchDiseases("powdery"); + expect(results.length).toBeGreaterThan(0); + }); + + it("returns empty array for no matches", () => { + const results = searchDiseases("xyznonexistent123"); + expect(results).toEqual([]); + }); +}); + +describe("listPlants", () => { + it("returns all plants with no filters", () => { + const results = listPlants(); + expect(results).toEqual(plants); + }); + + it("filters by category", () => { + const results = listPlants({ category: "vegetable" }); + expect(results.length).toBeGreaterThan(0); + expect(results.every((p) => p.category === "vegetable")).toBe(true); + }); + + it("combines search and category filter", () => { + const results = listPlants({ search: "leaf", category: "houseplant" }); + expect(results.every((p) => p.category === "houseplant")).toBe(true); + }); +}); + +describe("listDiseases", () => { + it("returns all diseases with no filters", () => { + const results = listDiseases(); + expect(results).toEqual(diseases); + }); + + it("filters by plantId", () => { + const results = listDiseases({ plantId: "tomato" }); + expect(results.length).toBeGreaterThan(0); + expect(results.every((d) => d.plantId === "tomato")).toBe(true); + }); + + it("filters by causalAgentType", () => { + const results = listDiseases({ causalAgentType: "fungal" }); + expect(results.length).toBeGreaterThan(0); + expect(results.every((d) => d.causalAgentType === "fungal")).toBe(true); + }); + + it("filters by severity", () => { + const results = listDiseases({ severity: "critical" }); + expect(results.length).toBeGreaterThan(0); + expect(results.every((d) => d.severity === "critical")).toBe(true); + }); + + it("combines plantId and search filters", () => { + const results = listDiseases({ plantId: "tomato", search: "blight" }); + expect(results.every((d) => d.plantId === "tomato")).toBe(true); + expect(results.every((d) => d.name.toLowerCase().includes("blight") || d.description.toLowerCase().includes("blight") || d.symptoms.some((s) => s.toLowerCase().includes("blight")))).toBe(true); + }); +}); + +describe("validateKnowledgeBase", () => { + it("returns no errors for valid data", () => { + const errors = validateKnowledgeBase(); + expect(errors).toEqual([]); + }); + + it("detects invalid plant references", () => { + // Temporarily modify a disease to have invalid plantId + const original = diseases[0].plantId; + diseases[0].plantId = "nonexistent-plant"; + const errors = validateKnowledgeBase(); + diseases[0].plantId = original; + expect(errors.length).toBeGreaterThan(0); + expect(errors.some((e) => e.includes("nonexistent-plant"))).toBe(true); + }); + + it("detects invalid causalAgentType", () => { + const original = diseases[0].causalAgentType; + (diseases[0] as any).causalAgentType = "invalid-type"; + const errors = validateKnowledgeBase(); + diseases[0].causalAgentType = original; + expect(errors.length).toBeGreaterThan(0); + expect(errors.some((e) => e.includes("invalid-type"))).toBe(true); + }); + + it("detects invalid severity", () => { + const original = diseases[0].severity; + (diseases[0] as any).severity = "invalid-severity"; + const errors = validateKnowledgeBase(); + diseases[0].severity = original; + expect(errors.length).toBeGreaterThan(0); + expect(errors.some((e) => e.includes("invalid-severity"))).toBe(true); + }); + + it("detects too few symptoms", () => { + const original = [...diseases[0].symptoms]; + diseases[0].symptoms = ["only one"]; + const errors = validateKnowledgeBase(); + diseases[0].symptoms = original; + expect(errors.length).toBeGreaterThan(0); + expect(errors.some((e) => e.includes("fewer than 3 symptoms"))).toBe(true); + }); + + it("detects too few causes", () => { + const original = [...diseases[0].causes]; + diseases[0].causes = ["only one"]; + const errors = validateKnowledgeBase(); + diseases[0].causes = original; + expect(errors.length).toBeGreaterThan(0); + expect(errors.some((e) => e.includes("fewer than 2 causes"))).toBe(true); + }); + + it("detects too few treatments", () => { + const original = [...diseases[0].treatment]; + diseases[0].treatment = ["one", "two"]; + const errors = validateKnowledgeBase(); + diseases[0].treatment = original; + expect(errors.length).toBeGreaterThan(0); + expect(errors.some((e) => e.includes("fewer than 3 treatment"))).toBe(true); + }); + + it("detects too few prevention tips", () => { + const original = [...diseases[0].prevention]; + diseases[0].prevention = ["only one"]; + const errors = validateKnowledgeBase(); + diseases[0].prevention = original; + expect(errors.length).toBeGreaterThan(0); + expect(errors.some((e) => e.includes("fewer than 2 prevention"))).toBe(true); + }); + + it("detects invalid lookalike references", () => { + const original = [...diseases[0].lookalikeDiseaseIds]; + diseases[0].lookalikeDiseaseIds = ["nonexistent-disease"]; + const errors = validateKnowledgeBase(); + diseases[0].lookalikeDiseaseIds = original; + expect(errors.length).toBeGreaterThan(0); + expect(errors.some((e) => e.includes("nonexistent-disease"))).toBe(true); + }); + + it("detects non-bidirectional lookalike references", () => { + // early-blight references septoria-leaf-spot and late-blight + // If we remove early-blight from septoria's lookalikes, it should flag + const septoria = diseases.find((d) => d.id === "septoria-leaf-spot"); + if (septoria) { + const original = [...septoria.lookalikeDiseaseIds]; + septoria.lookalikeDiseaseIds = septoria.lookalikeDiseaseIds.filter( + (id) => id !== "early-blight" + ); + const errors = validateKnowledgeBase(); + septoria.lookalikeDiseaseIds = original; + expect(errors.some((e) => e.includes("not bidirectional"))).toBe(true); + } + }); +}); + +describe("Data quality checks", () => { + it("every disease has ≥3 symptoms", () => { + for (const d of diseases) { + expect(d.symptoms.length).toBeGreaterThanOrEqual(3); + } + }); + + it("every disease has ≥2 causes", () => { + for (const d of diseases) { + expect(d.causes.length).toBeGreaterThanOrEqual(2); + } + }); + + it("every disease has ≥3 treatment steps", () => { + for (const d of diseases) { + expect(d.treatment.length).toBeGreaterThanOrEqual(3); + } + }); + + it("every disease has ≥2 prevention tips", () => { + for (const d of diseases) { + expect(d.prevention.length).toBeGreaterThanOrEqual(2); + } + }); + + it("every disease references a valid plant ID", () => { + const plantIds = new Set(plants.map((p) => p.id)); + for (const d of diseases) { + expect(plantIds.has(d.plantId)).toBe(true); + } + }); + + it("every disease has valid causalAgentType enum value", () => { + const validTypes = ["fungal", "bacterial", "viral", "environmental"]; + for (const d of diseases) { + expect(validTypes).toContain(d.causalAgentType); + } + }); + + it("every disease has valid severity enum value", () => { + const validSeverities = ["low", "moderate", "high", "critical"]; + for (const d of diseases) { + expect(validSeverities).toContain(d.severity); + } + }); + + it("all lookalike references are valid disease IDs", () => { + const diseaseIds = new Set(diseases.map((d) => d.id)); + for (const d of diseases) { + for (const lookalikeId of d.lookalikeDiseaseIds) { + expect(diseaseIds.has(lookalikeId)).toBe(true); + } + } + }); + + it("includes both biotic and abiotic disease types", () => { + const types = new Set(diseases.map((d) => d.causalAgentType)); + expect(types.has("fungal")).toBe(true); + expect(types.has("bacterial")).toBe(true); + expect(types.has("viral")).toBe(true); + expect(types.has("environmental")).toBe(true); + }); + + it("has multiple plants represented", () => { + const plantIds = new Set(diseases.map((d) => d.plantId)); + expect(plantIds.size).toBeGreaterThanOrEqual(20); + }); +}); diff --git a/apps/web/src/app/about/page.tsx b/apps/web/src/app/about/page.tsx new file mode 100644 index 0000000..8fb79ab --- /dev/null +++ b/apps/web/src/app/about/page.tsx @@ -0,0 +1,249 @@ +import React from "react"; +import Link from "next/link"; +import type { Metadata } from "next"; +import { APP_NAME, BETA_DISCLAIMER } from "@/lib/constants"; + +export const metadata: Metadata = { + title: "About", + description: `Learn about ${APP_NAME} — our mission, methodology, data sources, and limitations. Open-source plant disease identification.`, +}; + +/* ─── FAQ accordion (server component with details/summary) ─── */ +const faqs = [ + { + q: "How accurate is the disease identification?", + a: "Our model has been trained on 50K+ labeled plant disease images covering 25+ plant species. Accuracy varies by plant and disease type, with confidence scores provided for each diagnosis. The model performs best on common diseases with visible foliar symptoms. We recommend using multiple sources of information for critical plant health decisions.", + }, + { + q: "Which plants are supported?", + a: "We currently have detailed disease data for 8+ common garden plants including tomato, basil, rose, monstera, snake plant, bell pepper, lavender, and sunflower. We are actively adding more plants. Browse our full catalog on the Browse Plants page.", + }, + { + q: "Can I use this for commercial farming?", + a: "While our database covers common agricultural plants like tomatoes and peppers, the tool is designed primarily for home gardeners and small-scale growers. For commercial agriculture, we recommend consulting with local extension services, certified crop advisors, and using laboratory testing for definitive diagnosis.", + }, + { + q: "How does the AI model work?", + a: "The model uses a convolutional neural network (CNN) trained on thousands of labeled plant disease images. When you upload a photo, the model analyzes visual patterns — leaf spots, discoloration, wilting patterns, and other symptoms — then matches them against known disease signatures. The output includes the most likely diagnosis with a confidence percentage.", + }, + { + q: "Is my data private?", + a: "Yes. Uploaded images are processed temporarily for analysis and are not permanently stored or used for training without explicit consent. We do not share or sell user data. See our privacy policy for details.", + }, + { + q: "What if my plant has a disease that's not in the database?", + a: "If the model cannot identify the disease with sufficient confidence, it will indicate that the condition is not recognized. In this case, we recommend consulting a local plant pathologist, master gardener, or agricultural extension service. You can also contribute by submitting data to help us expand our knowledge base.", + }, +]; + +function FAQAccordion() { + return ( +
+ {faqs.map((faq, i) => ( +
+ + {faq.q} + + +
+

+ {faq.a} +

+
+
+ ))} +
+ ); +} + +/* ─── About Page ─── */ +export default function AboutPage() { + return ( +
+ {/* Page header */} +
+ +

+ About {APP_NAME} +

+

+ Making plant disease identification accessible to every gardener. +

+
+ + {/* Mission */} +
+

+ Our Mission +

+
+

+ Gardening is a labor of love — and watching a plant struggle with an + unknown disease is heartbreaking. Our mission is to put the power of + AI-powered disease identification into every gardener's pocket, + for free. +

+

+ {APP_NAME} was built by a team of gardeners and developers who were + frustrated with vague, generic plant disease advice. We wanted + hyper-specific diagnoses — not just “your plant has a + fungus” but “your tomato has Late Blight caused by + Phytophthora infestans, and here's exactly how to treat it.” +

+
+
+ + {/* How the model works */} +
+

+ How the Model Works +

+
+

+ The identification engine uses a deep convolutional neural network + trained on a dataset of 50,000+ labeled plant disease + images spanning 25+ plant species. When you upload a photo: +

+
    +
  1. + Preprocessing — The image is normalized and + analyzed for relevant regions (leaves, stems, fruit). +
    2. +
  2. + Feature extraction — The model identifies visual + patterns: lesion shape, color, margin type, texture, and + distribution. +
    3. +
  3. + Classification — Patterns are matched against + known disease signatures, producing a ranked list of possible + diagnoses with confidence scores. +
    4. +
  4. + Recommendation — The top diagnosis is paired with + treatment steps, prevention tips, and severity information from + our curated knowledge base. +
    5. +
+
+
+ + {/* Data sources */} +
+

+ Data Sources +

+
+

+ Our disease knowledge base is curated from peer-reviewed plant + pathology resources, including: +

+
    +
  • University agricultural extension publications
    • +
  • Peer-reviewed plant pathology journals
    • +
  • USDA plant disease databases
    • +
  • Contributions from the open-source gardening community
    • +
+

+ We prioritize evidence-based, actionable information. Disease + descriptions, treatments, and prevention tips are reviewed for + accuracy before inclusion. +

+
+
+ + {/* Limitations */} +
+
+

+ + Limitations & Disclaimer +

+
+

{BETA_DISCLAIMER}

+

+ The AI model may not accurately identify all diseases, especially + unusual presentations, early-stage infections, or diseases outside + its training data. Always confirm diagnoses with professional + resources for critical decisions. +

+

+ This tool is not FDA-approved or certified as a + medical/agricultural diagnostic device. It is an educational + assistive tool. +

+
+
+
+ + {/* Open source */} +
+

+ Open Source & Contributions +

+
+

+ {APP_NAME} is free and open source. We believe plant health + information should be accessible to everyone. The entire project is + available on GitHub, and we welcome contributions! +

+

You can contribute by:

+
    +
  • Adding new plant and disease data
    • +
  • Improving the AI model with training data
    • +
  • Reporting bugs or suggesting features
    • +
  • Translating content to other languages
    • +
  • Sharing plant photos (with permission) for model improvement
    • +
+

+ + View on GitHub → + +

+
+
+ + {/* FAQ */} +
+

+ Frequently Asked Questions +

+ +
+ + {/* Back to home */} +
+ + Back to home + +
+
+ ); +} diff --git a/apps/web/src/app/api/diseases/[id]/route.ts b/apps/web/src/app/api/diseases/[id]/route.ts new file mode 100644 index 0000000..b327bb8 --- /dev/null +++ b/apps/web/src/app/api/diseases/[id]/route.ts @@ -0,0 +1,44 @@ +import { NextRequest, NextResponse } from "next/server"; + +import { getDiseaseWithPlant, getLookalikeDiseases } from "@/lib/api/diseases"; + +interface RouteParams { + params: Promise<{ id: string }>; +} + +/** + * GET /api/diseases/[id] + * Get a single disease with its associated plant and lookalike diseases. + */ +export async function GET( + _request: NextRequest, + { params }: RouteParams +): Promise { + const { id } = await params; + + console.log(`[API] GET /api/diseases/${id}`); + + const result = getDiseaseWithPlant(id); + + if (!result) { + return NextResponse.json( + { + error: "Not Found", + message: `Disease with ID "${id}" not found`, + status: 404, + }, + { status: 404, headers: { "Cache-Control": "public, max-age=3600" } } + ); + } + + const lookalikes = getLookalikeDiseases(id); + + return NextResponse.json( + { + disease: result.disease, + plant: result.plant, + lookalikes, + }, + { headers: { "Cache-Control": "public, max-age=3600" } } + ); +} diff --git a/apps/web/src/app/api/diseases/route.ts b/apps/web/src/app/api/diseases/route.ts new file mode 100644 index 0000000..ed9c81c --- /dev/null +++ b/apps/web/src/app/api/diseases/route.ts @@ -0,0 +1,79 @@ +import { NextRequest, NextResponse } from "next/server"; + +import { listDiseases } from "@/lib/api/diseases"; + +/** + * GET /api/diseases + * List all diseases with optional filters. + * Query params: ?plantId= & ?search= & ?causalAgentType= & ?severity= + */ +export async function GET(request: NextRequest) { + const { searchParams } = request.nextUrl; + const plantId = searchParams.get("plantId"); + const search = searchParams.get("search"); + const causalAgentType = searchParams.get("causalAgentType") as + | "fungal" + | "bacterial" + | "viral" + | "environmental" + | null; + const severity = searchParams.get("severity") as + | "low" + | "moderate" + | "high" + | "critical" + | null; + + // Validate search param + if (search !== null && search.trim().length === 0) { + return NextResponse.json( + { error: "Bad Request", message: "Search term cannot be empty", status: 400 }, + { status: 400, headers: { "Cache-Control": "public, max-age=3600" } } + ); + } + + // Validate causalAgentType param + const validCausalAgentTypes = ["fungal", "bacterial", "viral", "environmental"]; + if ( + causalAgentType !== null && + !validCausalAgentTypes.includes(causalAgentType) + ) { + return NextResponse.json( + { + error: "Bad Request", + message: `Invalid causalAgentType. Must be one of: ${validCausalAgentTypes.join(", ")}`, + status: 400, + }, + { status: 400, headers: { "Cache-Control": "public, max-age=3600" } } + ); + } + + // Validate severity param + const validSeverities = ["low", "moderate", "high", "critical"]; + if (severity !== null && !validSeverities.includes(severity)) { + return NextResponse.json( + { + error: "Bad Request", + message: `Invalid severity. Must be one of: ${validSeverities.join(", ")}`, + status: 400, + }, + { status: 400, headers: { "Cache-Control": "public, max-age=3600" } } + ); + } + + console.log( + `[API] GET /api/diseases plantId="${plantId}" search="${search}" causalAgentType="${causalAgentType}" severity="${severity}"` + ); + + const results = listDiseases({ + plantId: plantId || undefined, + search: search || undefined, + causalAgentType: causalAgentType || undefined, + severity: severity || undefined, + }); + + return NextResponse.json( + { diseases: results, total: results.length }, + { headers: { "Cache-Control": "public, max-age=3600" } } + ); +} diff --git a/apps/web/src/app/api/health/route.ts b/apps/web/src/app/api/health/route.ts new file mode 100644 index 0000000..1cd7142 --- /dev/null +++ b/apps/web/src/app/api/health/route.ts @@ -0,0 +1,13 @@ +import { NextResponse } from "next/server"; + +/** + * Health-check endpoint. + * Returns 200 with status and current timestamp. + * Used for deployment verification and load-balancer probes. + */ +export async function GET(): Promise { + return NextResponse.json({ + status: "ok", + timestamp: new Date().toISOString(), + }); +} diff --git a/apps/web/src/app/api/identify/identify.test.ts b/apps/web/src/app/api/identify/identify.test.ts new file mode 100644 index 0000000..589585a --- /dev/null +++ b/apps/web/src/app/api/identify/identify.test.ts @@ -0,0 +1,241 @@ +/** + * Integration tests for app/api/identify/route.ts + * + * These tests call the actual running dev server via fetch. + * Run with: `npm run dev` in one terminal, then `npx vitest run src/app/api/identify/identify.test.ts` + * + * Tests: + * - POST /api/identify with valid imageId returns 200 with predictions array + * - POST /api/identify with invalid imageId returns 404 + * - POST /api/identify with missing imageId returns 400 + * - POST /api/identify with invalid JSON returns 400 + * - Each prediction's diseaseId exists in knowledge base + * - Response includes inference timing metadata + * - Response includes demo_mode flag when using mock model + * - Predictions include lookalike cross-references + * - Predictions are sorted by confidence descending + */ + +// @vitest-environment node + +import { describe, it, expect, beforeAll } from "vitest"; +import { getDiseaseById } from "@/lib/api/diseases"; + +const BASE_URL = process.env.TEST_BASE_URL || "http://localhost:3000"; + +// ─── Helpers ───────────────────────────────────────────────────────────────── + +/** + * Create a test image buffer using sharp. + */ +async function createTestImage( + width: number, + height: number, + bg = { r: 34, g: 197, b: 94 }, +): Promise { + const sharpMod = await import("sharp"); + const sharp = sharpMod.default; + return sharp({ + create: { width, height, channels: 3, background: bg }, + }) + .jpeg({ quality: 90 }) + .toBuffer(); +} + +/** + * Upload a test image and return the imageId. + */ +async function uploadTestImage(): Promise { + const buffer = await createTestImage(300, 300, { r: 34, g: 197, b: 94 }); + const file = new File([buffer], "test.jpg", { type: "image/jpeg" }); + const formData = new FormData(); + formData.append("image", file); + + const response = await fetch(`${BASE_URL}/api/upload`, { + method: "POST", + body: formData, + }); + + const data = await response.json(); + expect(response.status).toBe(200); + return data.imageId; +} + +/** + * Call the identify endpoint with a given imageId. + */ +async function callIdentify(imageId: string): Promise<{ + status: number; + data: any; + ok: boolean; +}> { + const response = await fetch(`${BASE_URL}/api/identify`, { + method: "POST", + headers: { + "Content-Type": "application/json", + }, + body: JSON.stringify({ imageId }), + }); + + const data = await response.json(); + return { status: response.status, data, ok: response.ok }; +} + +// ─── Tests ─────────────────────────────────────────────────────────────────── + +describe("POST /api/identify", () => { + let imageId: string; + + beforeAll(async () => { + imageId = await uploadTestImage(); + }, 15000); + + it("returns 200 with predictions array for valid imageId", async () => { + const { status, data } = await callIdentify(imageId); + + expect(status).toBe(200); + expect(data.predictions).toBeDefined(); + expect(Array.isArray(data.predictions)).toBe(true); + expect(data.predictions.length).toBeGreaterThan(0); + }, 30000); + + it("returns 404 for invalid imageId", async () => { + const { status, data } = await callIdentify("nonexistent-image-id"); + + expect(status).toBe(404); + expect(data.error).toBe("Image not found"); + }, 15000); + + it("returns 400 for missing imageId", async () => { + const response = await fetch(`${BASE_URL}/api/identify`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({}), + }); + const data = await response.json(); + + expect(response.status).toBe(400); + expect(data.error).toBe("Missing imageId"); + }, 15000); + + it("returns 400 for invalid JSON", async () => { + const response = await fetch(`${BASE_URL}/api/identify`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: "not json", + }); + + expect(response.status).toBe(400); + }, 15000); + + it("response includes metadata with model, inferenceTimeMs, imageId", async () => { + const { data } = await callIdentify(imageId); + + expect(data.metadata).toBeDefined(); + expect(data.metadata.model).toBeDefined(); + expect(typeof data.metadata.model).toBe("string"); + expect(data.metadata.inferenceTimeMs).toBeDefined(); + expect(typeof data.metadata.inferenceTimeMs).toBe("number"); + expect(data.metadata.inferenceTimeMs).toBeGreaterThan(0); + expect(data.metadata.imageId).toBe(imageId); + }, 30000); + + it("response includes demo_mode flag when using mock model", async () => { + const { data } = await callIdentify(imageId); + + // In development without a real model, demo_mode should be true + expect(typeof data.demo_mode).toBe("boolean"); + }, 30000); + + it("each prediction has diseaseId, disease, confidence, and lookalikes", async () => { + const { data } = await callIdentify(imageId); + + for (const pred of data.predictions) { + expect(pred.diseaseId).toBeDefined(); + expect(typeof pred.diseaseId).toBe("string"); + expect(pred.disease).toBeDefined(); + expect(pred.disease.name).toBeDefined(); + expect(pred.disease.description).toBeDefined(); + expect(pred.disease.symptoms).toBeDefined(); + expect(pred.disease.treatment).toBeDefined(); + expect(pred.disease.prevention).toBeDefined(); + expect(pred.confidence).toBeDefined(); + expect(pred.confidence.raw).toBeDefined(); + expect(pred.confidence.adjusted).toBeDefined(); + expect(pred.confidence.label).toMatch(/^(high|medium|low)$/); + expect(pred.lookalikes).toBeDefined(); + expect(Array.isArray(pred.lookalikes)).toBe(true); + } + }, 30000); + + it("each prediction's diseaseId exists in knowledge base", async () => { + const { data } = await callIdentify(imageId); + + for (const pred of data.predictions) { + const disease = getDiseaseById(pred.diseaseId); + expect(disease).toBeDefined(); + expect(disease!.id).toBe(pred.diseaseId); + expect(disease!.name).toBe(pred.disease.name); + } + }, 30000); + + it("predictions are sorted by confidence descending", async () => { + const { data } = await callIdentify(imageId); + + for (let i = 0; i < data.predictions.length - 1; i++) { + expect(data.predictions[i].confidence.adjusted).toBeGreaterThanOrEqual( + data.predictions[i + 1].confidence.adjusted + ); + } + }, 30000); + + it("lookalike references are valid disease IDs", async () => { + const { data } = await callIdentify(imageId); + + for (const pred of data.predictions) { + for (const lookalikeId of pred.lookalikes) { + const lookalike = getDiseaseById(lookalikeId); + expect(lookalike).toBeDefined(); + } + } + }, 30000); + + it("inference completes under 3 seconds", async () => { + const start = performance.now(); + const { data } = await callIdentify(imageId); + const elapsed = performance.now() - start; + + expect(data.metadata.inferenceTimeMs).toBeLessThan(3000); + expect(elapsed).toBeLessThan(3000); + }, 10000); + + it("confidence scores are in valid range", async () => { + const { data } = await callIdentify(imageId); + + for (const pred of data.predictions) { + expect(pred.confidence.raw).toBeGreaterThanOrEqual(0); + expect(pred.confidence.raw).toBeLessThanOrEqual(1); + expect(pred.confidence.adjusted).toBeGreaterThanOrEqual(0); + expect(pred.confidence.adjusted).toBeLessThanOrEqual(1); + } + }, 30000); + + it("disease entries have required fields", async () => { + const { data } = await callIdentify(imageId); + + for (const pred of data.predictions) { + const disease = pred.disease; + expect(disease.id).toBeDefined(); + expect(disease.plantId).toBeDefined(); + expect(disease.name).toBeDefined(); + expect(disease.scientificName).toBeDefined(); + expect(disease.causalAgentType).toMatch(/^(fungal|bacterial|viral|environmental)$/); + expect(disease.description).toBeDefined(); + expect(disease.symptoms.length).toBeGreaterThanOrEqual(3); + expect(disease.causes.length).toBeGreaterThanOrEqual(2); + expect(disease.treatment.length).toBeGreaterThanOrEqual(3); + expect(disease.prevention.length).toBeGreaterThanOrEqual(2); + expect(disease.severity).toMatch(/^(low|moderate|high|critical)$/); + } + }, 30000); +}); diff --git a/apps/web/src/app/api/identify/route.ts b/apps/web/src/app/api/identify/route.ts new file mode 100644 index 0000000..58e206c --- /dev/null +++ b/apps/web/src/app/api/identify/route.ts @@ -0,0 +1,263 @@ +/** + * Plant disease identification endpoint. + * + * Accepts POST with { imageId } from a previous /api/upload call. + * Loads the uploaded image, preprocesses it (resize + normalize), + * runs ML inference, enriches results with the knowledge base, + * and returns ranked predictions with confidence scores. + * + * When no model is available, returns deterministic mock predictions + * with demo_mode: true so the UI still works for development. + */ + +import { NextRequest, NextResponse } from "next/server"; +import path from "path"; +import fs from "fs/promises"; +import fsSync from "fs"; + +import { runInference, INPUT_SIZE } from "@/lib/ml/inference"; +import { softmaxFloat32, getTopKFloat32, calibrateConfidence, filterByConfidence, DEFAULT_MIN_CONFIDENCE } from "@/lib/ml/confidence"; +import { getDiseaseIdForIndex } from "@/lib/ml/labels"; +import { getModel, MODEL_ID } from "@/lib/ml/model-loader"; +import { getDiseaseById, getLookalikeDiseases } from "@/lib/api/diseases"; +import type { IdentifyRequest, IdentifyResponse, PredictionResult, Disease } from "@/lib/types"; + +// ─── Constants ─────────────────────────────────────────────────────────────── + +const UPLOADS_DIR = path.join(process.cwd(), "public", "uploads"); + +/** ImageNet normalization constants */ +const IMAGENET_MEAN = [0.485, 0.456, 0.406] as const; +const IMAGENET_STD = [0.229, 0.224, 0.225] as const; + +/** Model input size */ +const MODEL_SIZE = 224; + +// ─── Server-side image preprocessing ───────────────────────────────────────── + +/** + * Load an uploaded image and preprocess it into a Float32Array tensor + * with shape [3, 224, 224] (NCHW without batch dim) using ImageNet normalization. + * + * @param imageId - The image ID from the upload endpoint + * @returns Float32Array tensor ready for inference + * @throws Error if image not found + */ +async function loadImageAndPreprocess(imageId: string): Promise { + // Find the image file — try original first, then resized version + const uploads = await fs.readdir(UPLOADS_DIR).catch(() => []); + + // Find files matching this imageId + const matchingFiles = uploads.filter(f => f.startsWith(imageId) && !f.includes("-resized")); + if (matchingFiles.length === 0) { + // Try the resized version + const resizedFile = `${imageId}-resized.jpg`; + if (fsSync.existsSync(path.join(UPLOADS_DIR, resizedFile))) { + return preprocessImageBuffer( + await fs.readFile(path.join(UPLOADS_DIR, resizedFile)) + ); + } + throw new Error(`Image not found: ${imageId}`); + } + + const filename = matchingFiles[0]; + const filePath = path.join(UPLOADS_DIR, filename); + + const buffer = await fs.readFile(filePath); + return preprocessImageBuffer(buffer); +} + +/** + * Preprocess an image buffer into a normalized Float32Array tensor. + * Uses sharp to resize, then applies ImageNet normalization. + * + * Output: flat Float32Array of length 3 × 224 × 224 in channel-first order + * (all R values, then all G values, then all B values). + * + * @param buffer - Raw image buffer + * @returns Normalized Float32Array tensor + */ +async function preprocessImageBuffer(buffer: Buffer): Promise { + const sharpMod = await import("sharp"); + const sharp = sharpMod.default; + + // Resize to model input size and get raw pixel data + const pipeline = sharp(buffer) + .resize(MODEL_SIZE, MODEL_SIZE) + .raw() + .ensureAlpha(0); // RGB only, no alpha + + const rawBuffer = await pipeline.toBuffer(); + + // Convert to Float32Array with channel-first layout and ImageNet normalization + const totalPixels = MODEL_SIZE * MODEL_SIZE; + const tensor = new Float32Array(3 * totalPixels); + + // Extract channels from raw RGB data + const rChannel = tensor.subarray(0, totalPixels); + const gChannel = tensor.subarray(totalPixels, 2 * totalPixels); + const bChannel = tensor.subarray(2 * totalPixels, 3 * totalPixels); + + for (let i = 0; i < totalPixels; i++) { + const idx = i * 3; // RGB stride + rChannel[i] = rawBuffer[idx] / 255; + gChannel[i] = rawBuffer[idx + 1] / 255; + bChannel[i] = rawBuffer[idx + 2] / 255; + } + + // Apply ImageNet normalization + for (let c = 0; c < 3; c++) { + const channel = c === 0 ? rChannel : c === 1 ? gChannel : bChannel; + const m = IMAGENET_MEAN[c]; + const s = IMAGENET_STD[c]; + for (let i = 0; i < totalPixels; i++) { + channel[i] = (channel[i] - m) / s; + } + } + + return tensor; +} + +// ─── Result enrichment ─────────────────────────────────────────────────────── + +/** + * Enrich raw predictions with knowledge base data. + * + * For each prediction: + * - Look up disease by ID in knowledge base + * - Calibrate confidence score + * - Include lookalike disease cross-references + * + * @param topPredictions - Top-K raw predictions from inference + * @returns Enriched prediction results + */ +function enrichPredictions( + topPredictions: Array<{ classIndex: number; probability: number }>, +): PredictionResult[] { + const results: PredictionResult[] = []; + + for (const pred of topPredictions) { + const diseaseId = getDiseaseIdForIndex(pred.classIndex); + + // Skip "healthy" and "unknown" — only return actual diseases + if (diseaseId === "healthy" || diseaseId === "unknown") { + continue; + } + + // Look up disease in knowledge base + const disease = getDiseaseById(diseaseId); + if (!disease) { + // Disease ID from model doesn't exist in knowledge base — skip + continue; + } + + // Calibrate confidence + const confidence = calibrateConfidence(pred.probability); + + // Get lookalike diseases + const lookalikes = disease.lookalikeDiseaseIds; + + results.push({ + diseaseId, + disease, + confidence, + lookalikes, + }); + } + + // Sort by adjusted confidence descending + results.sort((a, b) => b.confidence.adjusted - a.confidence.adjusted); + + return results; +} + +// ─── Route Handler ─────────────────────────────────────────────────────────── + +export async function POST(request: NextRequest) { + try { + // Parse request body + let body: IdentifyRequest; + try { + body = await request.json(); + } catch { + return NextResponse.json( + { error: "Invalid JSON", message: "Request body must be valid JSON.", status: 400 }, + { status: 400 }, + ); + } + + const { imageId } = body; + + // Validate imageId + if (!imageId || typeof imageId !== "string") { + return NextResponse.json( + { error: "Missing imageId", message: 'Request body must include "imageId" string.', status: 400 }, + { status: 400 }, + ); + } + + // Check image exists + const uploads = await fs.readdir(UPLOADS_DIR).catch(() => []); + const imageExists = uploads.some(f => f.startsWith(imageId)); + if (!imageExists) { + return NextResponse.json( + { error: "Image not found", message: `No image found with ID: ${imageId}`, status: 404 }, + { status: 404 }, + ); + } + + // Load and preprocess image + const tensor = await loadImageAndPreprocess(imageId); + + // Run inference + const { predictions: rawPredictions, inferenceTimeMs } = await runInference(tensor, 10); + + // Get model status to check if we're in demo mode + const model = await getModel(); + const modelStatus = model.getStatus(); + const demoMode = !modelStatus.loaded; + + // Calibrate and filter predictions + const calibratedPredictions = rawPredictions.map(pred => ({ + classIndex: pred.classIndex, + probability: pred.probability, + })); + + // Enrich with knowledge base + const enrichedPredictions = enrichPredictions(calibratedPredictions); + + // Build response + const response: IdentifyResponse = { + predictions: enrichedPredictions, + metadata: { + model: modelStatus.modelId, + inferenceTimeMs, + imageId, + }, + }; + + if (demoMode) { + response.demo_mode = true; + } + + return NextResponse.json(response, { + headers: { + "Cache-Control": "no-store", + }, + }); + + } catch (err) { + const message = err instanceof Error ? err.message : "Unknown error"; + const status = message.includes("not found") ? 404 : 500; + console.error(`[identify] Error: ${message}`); + + return NextResponse.json( + { + error: status === 404 ? "Image not found" : "Identification failed", + message, + status, + }, + { status }, + ); + } +} diff --git a/apps/web/src/app/api/plants/[id]/route.ts b/apps/web/src/app/api/plants/[id]/route.ts new file mode 100644 index 0000000..b6354ab --- /dev/null +++ b/apps/web/src/app/api/plants/[id]/route.ts @@ -0,0 +1,37 @@ +import { NextRequest, NextResponse } from "next/server"; + +import { getPlantWithDiseases } from "@/lib/api/diseases"; + +interface RouteParams { + params: Promise<{ id: string }>; +} + +/** + * GET /api/plants/[id] + * Get a single plant with all its associated diseases. + */ +export async function GET( + _request: NextRequest, + { params }: RouteParams +): Promise { + const { id } = await params; + + console.log(`[API] GET /api/plants/${id}`); + + const result = getPlantWithDiseases(id); + + if (!result) { + return NextResponse.json( + { + error: "Not Found", + message: `Plant with ID "${id}" not found`, + status: 404, + }, + { status: 404, headers: { "Cache-Control": "public, max-age=3600" } } + ); + } + + return NextResponse.json(result, { + headers: { "Cache-Control": "public, max-age=3600" }, + }); +} diff --git a/apps/web/src/app/api/plants/route.ts b/apps/web/src/app/api/plants/route.ts new file mode 100644 index 0000000..4c936d9 --- /dev/null +++ b/apps/web/src/app/api/plants/route.ts @@ -0,0 +1,65 @@ +import { NextRequest, NextResponse } from "next/server"; + +import { listPlants } from "@/lib/api/diseases"; + +/** + * GET /api/plants + * List all plants or search by term. + * Query params: ?search= & ?category= + */ +export async function GET(request: NextRequest) { + const { searchParams } = request.nextUrl; + const search = searchParams.get("search"); + const category = searchParams.get("category") as + | "vegetable" + | "herb" + | "houseplant" + | "flower" + | "fruit" + | "succulent" + | "tree" + | null; + + // Validate search param + if (search !== null && search.trim().length === 0) { + return NextResponse.json( + { error: "Bad Request", message: "Search term cannot be empty", status: 400 }, + { status: 400, headers: { "Cache-Control": "public, max-age=3600" } } + ); + } + + // Validate category param + const validCategories = [ + "vegetable", + "herb", + "houseplant", + "flower", + "fruit", + "succulent", + "tree", + ]; + if (category !== null && !validCategories.includes(category)) { + return NextResponse.json( + { + error: "Bad Request", + message: `Invalid category. Must be one of: ${validCategories.join(", ")}`, + status: 400, + }, + { status: 400, headers: { "Cache-Control": "public, max-age=3600" } } + ); + } + + console.log( + `[API] GET /api/plants search="${search}" category="${category}"` + ); + + const results = listPlants({ + search: search || undefined, + category: category || undefined, + }); + + return NextResponse.json( + { plants: results, total: results.length }, + { headers: { "Cache-Control": "public, max-age=3600" } } + ); +} diff --git a/apps/web/src/app/api/upload/route.ts b/apps/web/src/app/api/upload/route.ts new file mode 100644 index 0000000..ad8ae84 --- /dev/null +++ b/apps/web/src/app/api/upload/route.ts @@ -0,0 +1,188 @@ +/** + * Server-side image upload endpoint. + * + * Accepts multipart/form-data with field "image". + * Validates MIME type, file size, and minimum dimensions. + * Saves to public/uploads/{uuid}.{ext}. + * Runs server-side preprocessing (resize + normalize). + * Returns { imageId, tensorShape, previewUrl }. + * + * Cleanup: keeps last MAX_UPLOADS files, purges older ones. + */ + +import { NextRequest, NextResponse } from "next/server"; +import { v4 as uuidv4 } from "uuid"; +import { + ALLOWED_MIME_TYPES, + MAX_FILE_SIZE, + MIN_DIMENSION, + MAX_UPLOADS, + getTensorShape, +} from "@/lib/image-processing"; +import { + mimeTypeToExtension, + resizeImageServer, +} from "@/lib/server/image-processing-server"; +import path from "path"; +import fs from "fs/promises"; +import fsSync from "fs"; + +// Uploads directory +const UPLOADS_DIR = path.join(process.cwd(), "public", "uploads"); + +// Ensure uploads directory exists +async function ensureUploadsDir(): Promise { + await fs.mkdir(UPLOADS_DIR, { recursive: true }); +} + +/** + * List existing uploads sorted by modification time (oldest first). + */ +async function listUploads(): Promise { + try { + const entries = await fs.readdir(UPLOADS_DIR); + const files = await Promise.all( + entries.map(async (name) => { + const stat = await fs.stat(path.join(UPLOADS_DIR, name)); + return { name, mtime: stat.mtimeMs }; + }), + ); + return files.sort((a, b) => a.mtime - b.mtime).map((f) => f.name); + } catch { + return []; + } +} + +/** + * Purge oldest uploads to stay within MAX_UPLOADS limit. + */ +async function cleanupOldUploads(): Promise { + const files = await listUploads(); + const toDelete = files.slice(0, files.length - MAX_UPLOADS); + await Promise.all( + toDelete.map((name) => + fs.unlink(path.join(UPLOADS_DIR, name)).catch(() => {}), + ), + ); +} + +/** + * Read image dimensions from a buffer without full decode. + * Uses sharp to get metadata efficiently. + */ +async function getImageDimensions(buffer: Buffer): Promise<{ + width: number; + height: number; +}> { + try { + const sharpMod = await import("sharp"); + const sharp = sharpMod.default; + const metadata = await sharp(buffer).metadata(); + return { + width: metadata.width ?? 0, + height: metadata.height ?? 0, + }; + } catch { + throw new Error("sharp is required for image dimension validation."); + } +} + +// ─── Route Handler ─────────────────────────────────────────────────────────── + +export async function POST(request: NextRequest) { + try { + await ensureUploadsDir(); + + // Parse multipart form data + const formData = await request.formData(); + const imageFile = formData.get("image"); + + if (!imageFile || !(imageFile instanceof File)) { + return NextResponse.json( + { error: "Missing file", message: 'No "image" field in form data.', status: 400 }, + { status: 400 }, + ); + } + + // Validate MIME type + const mimeType = imageFile.type; + if (!ALLOWED_MIME_TYPES.includes(mimeType as (typeof ALLOWED_MIME_TYPES)[number])) { + return NextResponse.json( + { + error: "Invalid MIME type", + message: `Type "${mimeType}" not allowed. Allowed: ${ALLOWED_MIME_TYPES.join(", ")}.`, + status: 400, + }, + { status: 400 }, + ); + } + + // Validate file size + if (imageFile.size > MAX_FILE_SIZE) { + const mb = (imageFile.size / (1024 * 1024)).toFixed(1); + return NextResponse.json( + { + error: "File too large", + message: `File is ${mb} MB. Maximum is 10 MB.`, + status: 413, + }, + { status: 413 }, + ); + } + + // Read file buffer + const buffer = Buffer.from(await imageFile.arrayBuffer()); + + // Validate dimensions + const { width, height } = await getImageDimensions(buffer); + if (width < MIN_DIMENSION || height < MIN_DIMENSION) { + return NextResponse.json( + { + error: "Image too small", + message: `Image is ${width}×${height}. Minimum is ${MIN_DIMENSION}×${MIN_DIMENSION}.`, + status: 400, + }, + { status: 400 }, + ); + } + + // Generate unique filename + const imageId = uuidv4(); + const ext = mimeTypeToExtension(mimeType); + const filename = `${imageId}.${ext}`; + const filePath = path.join(UPLOADS_DIR, filename); + + // Save original file + await fs.writeFile(filePath, buffer); + + // Server-side preprocessing: resize to model size + const modelSize = 224; + const resizedBuffer = await resizeImageServer(buffer, modelSize); + + // Save resized version (for preview / model input) + const resizedFilename = `${imageId}-resized.jpg`; + const resizedPath = path.join(UPLOADS_DIR, resizedFilename); + await fs.writeFile(resizedPath, resizedBuffer); + + // Cleanup old uploads + await cleanupOldUploads(); + + // Return response + return NextResponse.json({ + imageId, + tensorShape: getTensorShape(), + previewUrl: `/uploads/${filename}`, + }); + } catch (err) { + const message = err instanceof Error ? err.message : "Unknown error"; + console.error("[upload] Error:", message); + return NextResponse.json( + { + error: "Upload failed", + message, + status: 500, + }, + { status: 500 }, + ); + } +} diff --git a/apps/web/src/app/api/upload/upload.test.ts b/apps/web/src/app/api/upload/upload.test.ts new file mode 100644 index 0000000..5944d3e --- /dev/null +++ b/apps/web/src/app/api/upload/upload.test.ts @@ -0,0 +1,141 @@ +/** + * Integration tests for app/api/upload/route.ts + * + * These tests call the actual running dev server via fetch. + * Run with: `npm run dev` in one terminal, then `npx vitest run src/app/api/upload/upload.test.ts` + * + * Tests: + * - Upload a valid JPG → POST /api/upload returns 200 with expected shape + * - Upload a 12 MB file → returns 413 or validation error + * - Upload a .txt file → returns 400 with MIME error + * - Upload missing field → returns 400 + * - Upload too-small image → returns 400 + */ + +// @vitest-environment node + +import { describe, it, expect, beforeAll } from "vitest"; + +const BASE_URL = process.env.TEST_BASE_URL || "http://localhost:3000"; + +// ─── Helpers ───────────────────────────────────────────────────────────────── + +/** + * Create a test image buffer using sharp. + */ +async function createTestImage( + width: number, + height: number, + bg = { r: 34, g: 197, b: 94 }, +): Promise { + const sharpMod = await import("sharp"); + const sharp = sharpMod.default; + return sharp({ + create: { width, height, channels: 3, background: bg }, + }) + .jpeg({ quality: 90 }) + .toBuffer(); +} + +/** + * Upload a file to the /api/upload endpoint and return the response. + */ +async function uploadFile(file: File): Promise<{ + status: number; + data: any; + ok: boolean; +}> { + const formData = new FormData(); + formData.append("image", file); + + const response = await fetch(`${BASE_URL}/api/upload`, { + method: "POST", + body: formData, + }); + + const data = await response.json(); + return { status: response.status, data, ok: response.ok }; +} + +// ─── Tests ─────────────────────────────────────────────────────────────────── + +describe("POST /api/upload", () => { + beforeAll(() => { + // Ensure the dev server is running + if (!BASE_URL) { + console.warn( + "TEST_BASE_URL not set. Using default http://localhost:3000", + ); + } + }); + + it("accepts a valid JPEG and returns imageId, tensorShape, previewUrl", async () => { + const buffer = await createTestImage(300, 300); + const file = new File([buffer], "test.jpg", { type: "image/jpeg" }); + const { status, data } = await uploadFile(file); + + expect(status).toBe(200); + expect(data.imageId).toBeDefined(); + expect(typeof data.imageId).toBe("string"); + expect(data.imageId.length).toBeGreaterThan(0); + expect(data.tensorShape).toEqual([1, 3, 224, 224]); + expect(data.previewUrl).toMatch(/^\/uploads\/.*\.jpg$/); + }, 15000); + + it("accepts a valid PNG", async () => { + const buffer = await createTestImage(200, 200); + const file = new File([buffer], "test.png", { type: "image/png" }); + const { status, data } = await uploadFile(file); + + expect(status).toBe(200); + expect(data.previewUrl).toMatch(/^\/uploads\/.*\.png$/); + }, 15000); + + it("accepts a valid WebP", async () => { + const buffer = await createTestImage(200, 200); + const file = new File([buffer], "test.webp", { type: "image/webp" }); + const { status } = await uploadFile(file); + + expect(status).toBe(200); + }, 15000); + + it("rejects a .txt file with 400 MIME error", async () => { + const file = new File(["not an image"], "document.txt", { + type: "text/plain", + }); + const { status, data } = await uploadFile(file); + + expect(status).toBe(400); + expect(data.error).toBe("Invalid MIME type"); + expect(data.message).toContain("text/plain"); + }, 15000); + + it("rejects a file >10 MB with 413", async () => { + const bigBuffer = Buffer.alloc(12 * 1024 * 1024); + const file = new File([bigBuffer], "huge.jpg", { type: "image/jpeg" }); + const { status, data } = await uploadFile(file); + + expect(status).toBe(413); + expect(data.error).toBe("File too large"); + }, 30000); + + it("rejects an image that is too small (<150×150)", async () => { + const buffer = await createTestImage(50, 50); + const file = new File([buffer], "tiny.jpg", { type: "image/jpeg" }); + const { status, data } = await uploadFile(file); + + expect(status).toBe(400); + expect(data.error).toBe("Image too small"); + expect(data.message).toContain("150"); + }, 15000); + + it("returns tensorShape [1, 3, 224, 224] for any valid input", async () => { + // Test with a non-square image + const buffer = await createTestImage(400, 200); + const file = new File([buffer], "wide.jpg", { type: "image/jpeg" }); + const { status, data } = await uploadFile(file); + + expect(status).toBe(200); + expect(data.tensorShape).toEqual([1, 3, 224, 224]); + }, 15000); +}); diff --git a/apps/web/src/app/browse/BrowseContent.tsx b/apps/web/src/app/browse/BrowseContent.tsx new file mode 100644 index 0000000..cae7db3 --- /dev/null +++ b/apps/web/src/app/browse/BrowseContent.tsx @@ -0,0 +1,169 @@ +"use client"; + +import React, { useState, useMemo } from "react"; +import { useSearchParams } from "next/navigation"; +import PlantCard from "@/components/PlantCard"; +import EmptyState from "@/components/EmptyState"; +import { plants, type Plant } from "@/data/plants"; +import { PLANT_CATEGORIES } from "@/lib/constants"; + +type Category = Plant["category"] | "all"; + +/** + * Client component that handles the interactive browse/search/filter logic. + * Wrapped in a Suspense boundary in the parent page. + */ +export default function BrowseContent() { + const searchParams = useSearchParams(); + const initialSearch = searchParams.get("search") || ""; + + const [searchQuery, setSearchQuery] = useState(initialSearch); + const [activeCategory, setActiveCategory] = useState("all"); + + const filteredPlants = useMemo(() => { + let result = plants; + + if (activeCategory !== "all") { + result = result.filter((p) => p.category === activeCategory); + } + + const q = searchQuery.toLowerCase().trim(); + if (q) { + result = result.filter( + (p) => + p.commonName.toLowerCase().includes(q) || + p.scientificName.toLowerCase().includes(q) || + p.family.toLowerCase().includes(q) || + p.diseases.some((d) => d.name.toLowerCase().includes(q)) + ); + } + + return result; + }, [activeCategory, searchQuery]); + + return ( +
+ {/* Page header */} +
+

+ Browse Plants +

+

+ Explore our database of {plants.length} plants and their common + diseases. +

+
+ + {/* Search bar */} +
+ +
+ + setSearchQuery(e.target.value)} + className="w-full rounded-xl border border-zinc-300 dark:border-zinc-600 bg-white dark:bg-zinc-900 pl-10 pr-4 py-3 text-sm text-zinc-900 dark:text-zinc-100 placeholder-zinc-400 dark:placeholder-zinc-500 focus:outline-none focus:ring-2 focus:ring-leaf-green-500 focus:border-leaf-green-500 transition-all shadow-sm" + /> +
+ {searchQuery && ( + + )} +
+ + {/* Category filter chips */} +
+ {PLANT_CATEGORIES.map((cat) => ( + + ))} +
+ + {/* Results count */} +

+ {filteredPlants.length === 0 + ? "No plants found" + : `Showing ${filteredPlants.length} ${filteredPlants.length === 1 ? "plant" : "plants"}`} + {activeCategory !== "all" && + ` in ${PLANT_CATEGORIES.find((c) => c.value === activeCategory)?.label.toLowerCase()}`} + {searchQuery.trim() && ` matching "${searchQuery.trim()}"`} +

+ + {/* Plant grid or empty state */} + {filteredPlants.length > 0 ? ( +
+ {filteredPlants.map((plant) => ( + + ))} +
+ ) : ( + + )} +
+ ); +} diff --git a/apps/web/src/app/browse/[plantId]/page.tsx b/apps/web/src/app/browse/[plantId]/page.tsx new file mode 100644 index 0000000..37b5dbf --- /dev/null +++ b/apps/web/src/app/browse/[plantId]/page.tsx @@ -0,0 +1,297 @@ +import React from "react"; +import Link from "next/link"; +import { notFound } from "next/navigation"; +import { getPlantById, type Disease } from "@/data/plants"; +import type { Metadata } from "next"; + +interface Props { + params: Promise<{ plantId: string }>; +} + +export async function generateStaticParams() { + const { plants } = await import("@/data/plants"); + return plants.map((plant) => ({ + plantId: plant.id, + })); +} + +export async function generateMetadata({ params }: Props): Promise { + const { plantId } = await params; + const plant = getPlantById(plantId); + + if (!plant) { + return { title: "Plant Not Found" }; + } + + return { + title: `${plant.commonName} — Diseases & Care`, + description: `Learn about ${plant.commonName} (${plant.scientificName}) diseases, symptoms, causes, and treatments. ${plant.diseases.length} diseases documented.`, + }; +} + +/* ─── Severity badge ─── */ +function SeverityBadge({ severity }: { severity: Disease["severity"] }) { + const colors: Record = { + low: "bg-leaf-green-100 text-leaf-green-800 dark:bg-leaf-green-900/40 dark:text-leaf-green-300", + moderate: "bg-warning-amber-100 text-warning-amber-800 dark:bg-warning-amber-900/40 dark:text-warning-amber-300", + high: "bg-red-100 text-red-800 dark:bg-red-900/40 dark:text-red-300", + critical: "bg-red-100 text-red-800 dark:bg-red-900/40 dark:text-red-300", + }; + + const labels: Record = { + low: "Low", + moderate: "Moderate", + high: "High", + critical: "Critical", + }; + + return ( + + {severity === "critical" ? "🚨 " : ""} + {labels[severity]} Severity + + ); +} + +/* ─── Disease type badge ─── */ +function TypeBadge({ type }: { type: Disease["type"] }) { + const colors: Record = { + fungal: "bg-purple-100 text-purple-800 dark:bg-purple-900/40 dark:text-purple-300", + bacterial: "bg-blue-100 text-blue-800 dark:bg-blue-900/40 dark:text-blue-300", + viral: "bg-pink-100 text-pink-800 dark:bg-pink-900/40 dark:text-pink-300", + pest: "bg-orange-100 text-orange-800 dark:bg-orange-900/40 dark:text-orange-300", + physiological: "bg-zinc-100 text-zinc-800 dark:bg-zinc-700 dark:text-zinc-300", + }; + + return ( + + {type.charAt(0).toUpperCase() + type.slice(1)} + + ); +} + +/* ─── Disease card (expandable) ─── */ +function DiseaseCard({ disease }: { disease: Disease }) { + return ( +
+ {/* Card header */} +
+
+
+

+ {disease.name} +

+ {disease.scientificName && ( +

+ {disease.scientificName} +

+ )} +
+
+ + +
+
+ +

+ {disease.description} +

+ + {/* Details grid */} +
+ {/* Symptoms */} +
+

+ Symptoms +

+
    + {disease.symptoms.map((symptom, i) => ( +
  • + + {symptom} +
    • + ))} +
+
+ + {/* Causes */} +
+

+ Causes +

+
    + {disease.causes.map((cause, i) => ( +
  • + + {cause} +
    • + ))} +
+
+ + {/* Treatment Steps */} +
+

+ Treatment Steps +

+
    + {disease.treatmentSteps.map((step, i) => ( +
  1. + {step} +
    2. + ))} +
+
+ + {/* Prevention Tips */} +
+

+ Prevention Tips +

+
    + {disease.preventionTips.map((tip, i) => ( +
  • + + {tip} +
    • + ))} +
+
+
+
+
+ ); +} + +/* ─── Plant Detail Page ─── */ +export default async function PlantDetailPage({ params }: Props) { + const { plantId } = await params; + const plant = getPlantById(plantId); + + if (!plant) { + notFound(); + } + + return ( +
+ {/* Breadcrumb */} + + + {/* Plant hero */} +
+ {/* Emoji illustration */} +
+ +
+ +
+

+ {plant.commonName} +

+

+ {plant.scientificName} +

+

+ Family: {plant.family} + {" · "} + Category:{" "} + {plant.category} +

+

+ {plant.description} +

+
+ + {plant.careSummary} +
+
+
+ + {/* Identify disease CTA */} +
+
+
+

+ 🧐 Spot a problem on your {plant.commonName.toLowerCase()}? +

+

+ Upload a photo for AI-powered disease identification. +

+
+ + 📸 Identify a Disease + +
+
+ + {/* Disease list */} +
+

+ Known Diseases +

+

+ {plant.diseases.length === 0 + ? "No diseases currently documented for this plant." + : `${plant.diseases.length} ${plant.diseases.length === 1 ? "disease" : "diseases"} documented for ${plant.commonName}.`} +

+ + {plant.diseases.length > 0 ? ( +
+ {plant.diseases.map((disease) => ( + + ))} +
+ ) : ( +
+ +

+ Disease data for {plant.commonName} is being researched and will be added soon. +

+
+ )} +
+
+ ); +} diff --git a/apps/web/src/app/browse/page.tsx b/apps/web/src/app/browse/page.tsx new file mode 100644 index 0000000..2b8767b --- /dev/null +++ b/apps/web/src/app/browse/page.tsx @@ -0,0 +1,34 @@ +import React, { Suspense } from "react"; +import BrowseContent from "./BrowseContent"; +import { PlantCardSkeleton } from "@/components/LoadingSkeleton"; + +/** + * Browse page requires a Suspense boundary because it uses useSearchParams(). + * The actual interactive content is in BrowseContent (client component). + */ +export default function BrowsePage() { + return ( + +
+
+
+
+
+
+ {Array.from({ length: 5 }, (_, i) => ( +
+ ))} +
+ +
+ } + > + + + ); +} diff --git a/apps/web/src/app/favicon.ico b/apps/web/src/app/favicon.ico new file mode 100644 index 0000000000000000000000000000000000000000..718d6fea4835ec2d246af9800eddb7ffb276240c GIT binary patch literal 25931 zcmeHv30#a{`}aL_*G&7qml|y<+KVaDM2m#dVr!KsA!#An?kSQM(q<_dDNCpjEux83 zLb9Z^XxbDl(w>%i@8hT6>)&Gu{h#Oeyszu?xtw#Zb1mO{pgX9699l+Qppw7jXaYf~-84xW z)w4x8?=youko|}Vr~(D$UXIbiXABHh`p1?nn8Po~fxRJv}|0e(BPs|G`(TT%kKVJAdg5*Z|x0leQq0 zkdUBvb#>9F()jo|T~kx@OM8$9wzs~t2l;K=woNssA3l6|sx2r3+kdfVW@e^8e*E}v zA1y5{bRi+3Z`uD3{F7LgFJDdvm;nJilkzDku>BwXH(8ItVCXk*-lSJnR?-2UN%hJ){&rlvg`CDTj z)Bzo!3v7Ou#83zEDEFcKt(f1E0~=rqeEbTnMvWR#{+9pg%7G8y>u1OVRUSoox-ovF z2Ydma(;=YuBY(eI|04{hXzZD6_f(v~H;C~y5=DhAC{MMS>2fm~1H_t2$56pc$NH8( z5bH|<)71dV-_oCHIrzrT`2s-5w_+2CM0$95I6X8p^r!gHp+j_gd;9O<1~CEQQGS8) zS9Qh3#p&JM-G8rHekNmKVewU;pJRcTAog68KYo^dRo}(M>36U4Us zfgYWSiHZL3;lpWT=zNAW>Dh#mB!_@Lg%$ms8N-;aPqMn+C2HqZgz&9~Eu z4|Kp<`$q)Uw1R?y(~S>ePdonHxpV1#eSP1B;Ogo+-Pk}6#0GsZZ5!||ev2MGdh}_m 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#166534; + --color-leaf-green-900: #14532d; + + --color-soil-brown-50: #fdf8f6; + --color-soil-brown-100: #f2e8e5; + --color-soil-brown-200: #e6d5ce; + --color-soil-brown-300: #d4b5a9; + --color-soil-brown-400: #c0907e; + --color-soil-brown-500: #a3705a; + --color-soil-brown-600: #8a5a48; + --color-soil-brown-700: #724a3c; + --color-soil-brown-800: #5e3e34; + --color-soil-brown-900: #4d342b; + + --color-warning-amber-50: #fffbeb; + --color-warning-amber-100: #fef3c7; + --color-warning-amber-200: #fde68a; + --color-warning-amber-300: #fcd34d; + --color-warning-amber-400: #fbbf24; + --color-warning-amber-500: #f59e0b; + --color-warning-amber-600: #d97706; + --color-warning-amber-700: #b45309; + --color-warning-amber-800: #92400e; + --color-warning-amber-900: #78350f; + + /* Extended spacing scale */ + --spacing-72: 18rem; + --spacing-80: 20rem; + --spacing-96: 24rem; +} + +@media (prefers-color-scheme: dark) { + :root { + --background: #0a0a0a; + --foreground: #ededed; + } +} + +body { + background: var(--background); + color: var(--foreground); + font-family: var(--font-inter), Arial, Helvetica, sans-serif; +} + +/* Smooth scroll behavior */ +html { + scroll-behavior: smooth; +} + +/* Reduce motion for users who prefer it */ +@media (prefers-reduced-motion: reduce) { + html { + scroll-behavior: auto; + } + + *, + *::before, + *::after { + animation-duration: 0.01ms !important; + animation-iteration-count: 1 !important; + transition-duration: 0.01ms !important; + scroll-behavior: auto !important; + } +} + +/* Focus-visible outline for keyboard navigation */ +:focus-visible { + outline: 2px solid #16a34a; + outline-offset: 2px; +} + +/* Custom scrollbar styling (nice on supported browsers) */ +::-webkit-scrollbar { + width: 8px; +} + +::-webkit-scrollbar-track { + background: transparent; +} + +::-webkit-scrollbar-thumb { + background-color: #d4d4d4; + border-radius: 4px; +} + +::-webkit-scrollbar-thumb:hover { + background-color: #a3a3a3; +} + +@media (prefers-color-scheme: dark) { + ::-webkit-scrollbar-thumb { + background-color: #525252; + } + + ::-webkit-scrollbar-thumb:hover { + background-color: #737373; + } +} diff --git a/apps/web/src/app/layout.tsx b/apps/web/src/app/layout.tsx new file mode 100644 index 0000000..72103a0 --- /dev/null +++ b/apps/web/src/app/layout.tsx @@ -0,0 +1,52 @@ +import type { Metadata } from "next"; +import { Inter } from "next/font/google"; +import "./globals.css"; +import Navbar from "@/components/Navbar"; +import Footer from "@/components/Footer"; +import ErrorBoundary from "@/components/ErrorBoundary"; +import { APP_NAME, APP_DESCRIPTION, BETA_DISCLAIMER } from "@/lib/constants"; + +const inter = Inter({ + variable: "--font-inter", + subsets: ["latin"], + display: "swap", +}); + +export const metadata: Metadata = { + title: { + default: `${APP_NAME} — ${APP_DESCRIPTION}`, + template: `%s | ${APP_NAME}`, + }, + description: APP_DESCRIPTION, + openGraph: { + title: APP_NAME, + description: APP_DESCRIPTION, + type: "website", + siteName: APP_NAME, + }, + robots: { + index: true, + follow: true, + }, +}; + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + + + +
{children}
+