diff --git a/.gitignore b/.gitignore index c843e2c..5cfecd6 100644 --- a/.gitignore +++ b/.gitignore @@ -5,4 +5,6 @@ sketches/secrets.h .env .vscode -.kiro \ No newline at end of file +.kiro + +stitch/ \ No newline at end of file diff --git a/README.md b/README.md index c87ee40..33af9a4 100644 --- a/README.md +++ b/README.md @@ -1,109 +1,237 @@ # 🌱 TerraDetect – A Smart Agriculture Solution [![Live](https://img.shields.io/badge/Live-Demo-00C853?style=flat-square&logo=vercel&logoColor=white)](https://terradetect.onrender.com) -[![Built with Flask](https://img.shields.io/badge/Built%20with-Flask-000?style=flat-square&logo=flask)](https://flask.palletsprojects.com/) -[![Made with Python](https://img.shields.io/badge/Made%20with-Python-FFD43B?style=flat-square&logo=python&logoColor=blue)](https://python.org) +[![Go Backend](https://img.shields.io/badge/Backend-Go-00ADD8?style=flat-square&logo=go)](https://go.dev) +[![React Native](https://img.shields.io/badge/Mobile-React%20Native-61DAFB?style=flat-square&logo=react)](https://reactnative.dev) [![ESP32](https://img.shields.io/badge/Hardware-ESP32-3C873A?style=flat-square&logo=esphome)](https://www.espressif.com/en/products/socs/esp32) > 🔗 **Live Demo**: [https://terradetect.onrender.com](https://terradetect.onrender.com) --- -TerraDetect is a smart farming assistant that combines real-time **soil monitoring**, **sensor-based data collection**, and **ML-powered crop & fertilizer recommendations**. It uses ESP32 microcontrollers to gather environmental data and a Flask web app to display and analyze this information. +TerraDetect is a comprehensive smart farming platform that combines real-time **soil monitoring**, **IoT sensor integration**, and **ML-powered crop & fertilizer recommendations**. The system features a Go backend with ONNX inference, React Native mobile app with Expo, and ESP32 microcontrollers for environmental data collection. --- ## 🔧 Key Features -### 🌐 Web Dashboard (Flask) -- 📊 Visualize real-time & historical soil data -- 🌾 Crop and fertilizer prediction using ML -- 🌓 Dark mode UI with mobile responsiveness -- 🔒 Secure API endpoints with JWT authentication +### 📱 Mobile App (React Native + Expo) +- � Modern Material Design 3 UI with dark mode support +- 📊 Real-time sensor data visualization with telemetry cards +- 🌾 ML-powered crop, fertilizer, and suitability predictions +- 📈 Historical data tracking and analysis +- � User authentication with JWT tokens +- 🎭 **Guest Mode** - Try predictions without registration +- � Offline support with request queuing +- � Cross-platform (iOS & Android) + +### �️ Backend (Go + MongoDB) +- ⚡ High-performance REST API with Gin framework +- 🧠 ONNX Runtime for ML inference (crop & fertilizer models) +- 🔐 JWT authentication with refresh tokens +- 👥 User and device management +- 📊 Sensor data storage and retrieval +- 🎭 Guest token system for anonymous predictions +- 🔒 Rate limiting and security middleware +- 📡 CORS support for cross-origin requests ### 🔌 IoT Integration (ESP32) -- 📡 WiFiManager for dynamic setup -- 🔐 User-entered 6-character Device ID (stored in EEPROM) +- 📡 WiFi connectivity with dynamic configuration +- 🔐 Device ID authentication (format: AB1234) - 📈 HTTPS sensor data uploads with API key validation -- 🌿 Sensor support: +- 🌿 Multi-sensor support: - Soil pH - Moisture - - Temperature + - Temperature & Humidity - EC (Electrical Conductivity) - - NPK (via RS485 Modbus) + - NPK (Nitrogen, Phosphorus, Potassium) + +### 🤖 Machine Learning +- 🌾 Crop recommendation (23 crop types) +- 🧪 Fertilizer suggestion (7 fertilizer types) +- 📊 Crop suitability analysis +- ⚡ ONNX models for fast inference +- 🎯 Confidence scores for predictions --- -## 📁 Folder Structure +## 📁 Project Structure ``` TerraDetect/ -├── esp32/ # ESP32 firmware & sensor integration -├── static/ # CSS, JS, images -├── templates/ # Jinja2 HTML templates -├── models/ # Crop & fertilizer ML models -├── utils/ # Utility scripts (auth, helpers) -├── app.py # Flask backend -└── requirements.txt # Python dependencies +├── backend/ # Go backend server +│ ├── handlers/ # API route handlers +│ ├── middleware/ # Auth, rate limiting, CORS +│ ├── models/ # Data models (User, Device, Sensor) +│ ├── inference/ # ONNX ML inference engine +│ ├── db/ # MongoDB connection +│ └── main.go # Server entry point +├── mobile/ # React Native mobile app +│ ├── app/ # Expo Router pages +│ │ ├── (app)/ # Authenticated screens +│ │ └── (auth)/ # Auth screens (login, register, guest) +│ ├── components/ # Reusable UI components +│ ├── store/ # Zustand state management +│ ├── lib/ # API client & utilities +│ └── assets/ # Images, icons, fonts +├── ml/ # Machine learning models +│ ├── crop-model.onnx # Crop recommendation model +│ ├── fertilizer-model.onnx # Fertilizer suggestion model +│ └── *.py # Model training & conversion scripts +├── sketches/ # ESP32 Arduino firmware +│ └── esp32_terradetect.ino +└── docs/ # API documentation ``` --- ## 🚀 Getting Started -### 🧰 Requirements -- Python 3.9+ -- Flask, scikit-learn, pandas -- ESP32-WROOM-32 (30-pin or 38-pin) -- Arduino IDE / PlatformIO for flashing ESP32 +### 🧰 Prerequisites +- **Backend**: Go 1.21+, MongoDB 4.4+ +- **Mobile**: Node.js 18+, npm/yarn, Expo CLI +- **IoT**: ESP32-WROOM-32, Arduino IDE or PlatformIO +- **ML**: Python 3.9+ (for model training/conversion) + +### ⚙️ Backend Setup + +```bash +# Navigate to backend directory +cd backend + +# Install Go dependencies +go mod download + +# Set up environment variables +cp .env.example .env +# Edit .env with your MongoDB URI and JWT secret + +# Run the server +go run . +``` + +The backend will start on `http://localhost:8080` -### ⚙️ Setup +### 📱 Mobile App Setup ```bash -# Clone the repo -git clone https://github.com/gagan-ahlawat-0/TerraDetect---A-Smart-Agriculture-Solution.git -cd TerraDetect---A-Smart-Agriculture-Solution +# Navigate to mobile directory +cd mobile # Install dependencies -pip install -r requirements.txt +npm install + +# Set up environment variables +cp .env.example .env +# Edit .env with your API URL + +# Start Expo development server +npx expo start -# Run the Flask app -python app.py +# Scan QR code with Expo Go app (iOS/Android) +# Or press 'a' for Android emulator, 'i' for iOS simulator ``` -### 📡 Flashing ESP32 +### 📡 ESP32 Setup -- Open `esp32/` code in Arduino IDE -- Upload to ESP32 board -- On first boot: - - Connect to ESP32 AP - - Enter WiFi credentials + Device ID +1. Open `sketches/esp32_terradetect.ino` in Arduino IDE +2. Install required libraries: + - WiFiManager + - HTTPClient + - ArduinoJson +3. Copy `secrets.h.template` to `secrets.h` and configure: + - API endpoint URL + - Device ID + - API key +4. Upload to ESP32 board +5. On first boot, connect to ESP32 AP to configure WiFi ---- +### 🤖 ML Model Training (Optional) + +```bash +# Navigate to ml directory +cd ml -## 🔐 Security +# Train models (if needed) +python train_crop_model.py +python train_fertilizer_model.py -- 🔑 HTTPS requests from ESP32 with API key -- 🧠 Device identity stored in EEPROM -- 🔒 JWT tokens for secure API access +# Convert to ONNX format +python export_onnx.py + +# Validate ONNX models +python validate_onnx.py +``` --- -## 📊 ML Prediction Modules +## 🔐 API Endpoints + +### Authentication +- `POST /api/v1/auth/register` - Register new user +- `POST /api/v1/auth/login` - User login +- `POST /api/v1/auth/guest` - Get guest token (30 min) +- `POST /api/v1/auth/refresh` - Refresh access token +- `POST /api/v1/auth/logout` - Logout user + +### Sensor Data (Authenticated) +- `GET /api/v1/sensor/latest` - Get latest sensor reading +- `GET /api/v1/sensor/history` - Get historical data (paginated) + +### Predictions (Authenticated) +- `POST /api/v1/predict/crop` - Crop recommendation +- `POST /api/v1/predict/fertilizer` - Fertilizer suggestion +- `POST /api/v1/predict/suitability` - Crop suitability analysis + +### Guest Predictions (No Auth Required) +- `POST /api/v1/guest/predict/crop` - Guest crop prediction +- `POST /api/v1/guest/predict/fertilizer` - Guest fertilizer prediction +- `POST /api/v1/guest/predict/suitability` - Guest suitability analysis + +### Device Management +- `POST /api/v1/device/check` - Check device availability +- `POST /api/esp32` - ESP32 sensor data upload (API key required) -- **Crop Recommendation** - Based on NPK, pH, and other sensor values +See [docs/api.md](docs/api.md) for detailed API documentation. -- **Fertilizer Suggestion** - Trained on real-world datasets to identify soil deficiencies +--- + +## 🔒 Security Features + +- 🔑 JWT-based authentication with access & refresh tokens +- 🎭 Guest tokens with limited permissions (30-minute expiry) +- 🔐 API key validation for ESP32 devices +- 🛡️ Rate limiting on all endpoints +- 🚫 CORS protection with configurable origins +- 🔒 Password hashing with bcrypt +- 📊 User-specific data isolation +- 🧠 Device identity validation (format: AB1234) --- ## 🧑‍🌾 Use Cases -- Farmers optimizing fertilizer use -- Students building Agri-IoT projects -- Researchers monitoring field soil health +- 🌾 **Farmers**: Real-time soil monitoring and crop recommendations +- 🎓 **Students**: Learning platform for Agri-IoT and ML applications +- 🔬 **Researchers**: Field data collection and analysis +- 🏢 **Agribusinesses**: Precision agriculture and resource optimization +- 🌱 **Home Gardeners**: Smart gardening with data-driven insights +- 👥 **Consultants**: Try predictions as guest without registration + +--- + +## 🎯 Key Improvements in v2.0 + +- ✅ **Complete rewrite** from Flask to Go for better performance +- ✅ **Native mobile app** with React Native + Expo +- ✅ **Guest mode** for trying predictions without registration +- ✅ **ONNX inference** for faster ML predictions +- ✅ **Real-time telemetry** dashboard with live sensor data +- ✅ **Offline support** with request queuing +- ✅ **Material Design 3** UI with dark mode +- ✅ **Enhanced security** with JWT refresh tokens +- ✅ **Better error handling** and user feedback +- ✅ **Comprehensive API** documentation --- @@ -115,13 +243,16 @@ python app.py ## ⚙️ Tech Stack -| Layer | Tech Used | -|---------------|----------------------------------| -| Frontend | HTML, CSS, JS, FontAwesome | -| Backend | Python, Flask, REST APIs | -| ML | Scikit-learn, Pandas, NumPy | -| IoT Hardware | ESP32, RS485 NPK, analog sensors | -| Auth & Security | JWT, API keys, EEPROM, HTTPS | +| Layer | Technologies | +|------------------|-------------------------------------------------| +| **Mobile App** | React Native, Expo, TypeScript, NativeWind | +| **Backend** | Go, Gin, MongoDB, ONNX Runtime | +| **ML Models** | Python, Scikit-learn, ONNX | +| **IoT Hardware** | ESP32, RS485 NPK sensor, analog sensors | +| **Auth** | JWT, bcrypt, guest tokens | +| **State Mgmt** | Zustand (mobile) | +| **Styling** | TailwindCSS (NativeWind), Material Design 3 | +| **API** | REST, JSON, CORS | --- diff --git a/backend/handlers/auth.go b/backend/handlers/auth.go index 7245735..07ab66f 100644 --- a/backend/handlers/auth.go +++ b/backend/handlers/auth.go @@ -359,6 +359,27 @@ func (h *AuthHandler) Logout(c *gin.Context) { c.JSON(http.StatusOK, gin.H{"message": "Logged out successfully."}) } +func (h *AuthHandler) GuestToken(c *gin.Context) { + // Generate a guest token valid for 30 minutes + guestToken, err := h.generateGuestToken(30 * time.Minute) + if err != nil { + c.JSON(http.StatusInternalServerError, gin.H{ + "error": gin.H{ + "code": "INTERNAL_ERROR", + "message": "Failed to generate guest token.", + }, + }) + return + } + + c.JSON(http.StatusOK, gin.H{ + "access_token": guestToken, + "expires_in": 1800, // 30 minutes in seconds + "token_type": "Bearer", + "user_type": "guest", + }) +} + func (h *AuthHandler) generateToken(username, deviceID, tokenType string, duration time.Duration) (string, error) { claims := jwt.MapClaims{ "username": username, @@ -372,3 +393,17 @@ func (h *AuthHandler) generateToken(username, deviceID, tokenType string, durati return token.SignedString([]byte(h.cfg.SecretKey)) } + +func (h *AuthHandler) generateGuestToken(duration time.Duration) (string, error) { + claims := jwt.MapClaims{ + "username": "guest", + "device_id": "", + "token_type": "guest", + "exp": time.Now().Add(duration).Unix(), + "iat": time.Now().Unix(), + } + + token := jwt.NewWithClaims(jwt.SigningMethodHS256, claims) + + return token.SignedString([]byte(h.cfg.SecretKey)) +} diff --git a/backend/handlers/predict.go b/backend/handlers/predict.go index 0ec8eff..2cf037c 100644 --- a/backend/handlers/predict.go +++ b/backend/handlers/predict.go @@ -3,6 +3,7 @@ package handlers import ( "context" "fmt" + "log" "math" "net/http" "strings" @@ -109,10 +110,60 @@ func (h *PredictHandler) Crop(c *gin.Context) { crop, confidence, err := h.onnx.PredictCrop(features) if err != nil { + log.Printf("Crop inference error: %v", err) c.JSON(http.StatusInternalServerError, gin.H{ "error": gin.H{ "code": "INTERNAL_ERROR", - "message": "Crop mdoel inference failed.", + "message": fmt.Sprintf("Crop model inference failed: %v", err), + }, + }) + return + } + + c.JSON(http.StatusOK, gin.H{ + "recommended_crop": crop, + "confidence": math.Round(confidence*100) / 100, + }) +} + +// GuestCrop handles crop prediction for guest users (no auth required) +func (h *PredictHandler) GuestCrop(c *gin.Context) { + var req predictRequest + + if err := c.ShouldBindJSON(&req); err != nil { + c.JSON(http.StatusUnprocessableEntity, gin.H{ + "error": gin.H{ + "code": "VALIDATION_ERROR", + "message": err.Error(), + }, + }) + return + } + + // Guest users can only use manual source + if req.Source != "manual" { + c.JSON(http.StatusBadRequest, gin.H{ + "error": gin.H{ + "code": "INVALID_SOURCE", + "message": "Guest users can only use manual input.", + }, + }) + return + } + + features := []float32{ + float32(req.N), float32(req.P), float32(req.K), + float32(req.Temp), float32(req.Humidity), float32(req.PH), + float32(req.Rainfall), + } + + crop, confidence, err := h.onnx.PredictCrop(features) + if err != nil { + log.Printf("GuestCrop inference error: %v", err) + c.JSON(http.StatusInternalServerError, gin.H{ + "error": gin.H{ + "code": "INTERNAL_ERROR", + "message": fmt.Sprintf("Crop model inference failed: %v", err), }, }) return @@ -268,6 +319,123 @@ func (h *PredictHandler) Suitability(c *gin.Context) { }) } +// GuestSuitability handles suitability analysis for guest users (no auth required) +func (h *PredictHandler) GuestSuitability(c *gin.Context) { + var req predictRequest + if err := c.ShouldBindJSON(&req); err != nil { + c.JSON(http.StatusInternalServerError, gin.H{ + "error": gin.H{ + "code": "INTERNAL_ERROR", + "message": err.Error(), + }, + }) + return + } + + // Guest users can only use manual source + if req.Source != "manual" { + c.JSON(http.StatusBadRequest, gin.H{ + "error": gin.H{ + "code": "INVALID_SOURCE", + "message": "Guest users can only use manual input.", + }, + }) + return + } + + if req.CropName == "" { + c.JSON(http.StatusUnprocessableEntity, gin.H{ + "error": gin.H{ + "code": "VALIDATION_ERROR", + "message": "crop_name is required.", + }, + }) + return + } + + cropKey := strings.ToLower(strings.ReplaceAll(req.CropName, " ", "")) + ideal, ok := idealValues[cropKey] + if !ok { + c.JSON(http.StatusBadRequest, gin.H{ + "error": gin.H{ + "code": "NOT_FOUND", + "message": "Crop not found in dataset.", + }, + }) + return + } + + observed := [7]float64{ + req.N, req.P, req.K, + req.Temp, req.Humidity, req.PH, req.Rainfall, + } + + var totalDeviation float64 + for i := 0; i < 7; i++ { + maxDev := ideal[i] * 0.2 + if maxDev == 0 { + maxDev = 1 + } + totalDeviation += math.Abs(observed[i]-ideal[i]) / maxDev + } + score := math.Abs(100 - (totalDeviation * 100 / 7)) + score = math.Mod(score, 100) + score = math.Round(score*100) / 100 + + fertAdvice := map[string]string{ + "Nitrogen (N)": "Apply nitrogen-rich fertilizers like urea or ammonium sulfate.", + "Phosphorus (P)": "Use phosphorus fertilizers such as bone meal or superphosphate.", + "Potassium (K)": "Add potassium-based fertilizers like potash or wood ash.", + "Temperature": "Use greenhouse techniques or choose planting times strategically.", + "Humidity": "Implement irrigation systems or use mulching techniques.", + "pH": "Add lime to increase pH or sulfur to decrease pH.", + "Rainfall": "Use drip irrigation or rainwater harvesting techniques.", + } + + var table []tableRow + var recommendations []string + + for i := 0; i < 7; i++ { + row := tableRow{ + Parameter: paramNames[i], + Recommended: math.Round(ideal[i]*100) / 100, + Observed: math.Round(observed[i]*100) / 100, + + Status: "optimal", + Remarks: "Optimial", + } + low := ideal[i] * 0.8 + high := ideal[i] * 1.2 + + switch { + case observed[i] < low: + shortage := math.Round((ideal[i] - observed[i]) * 100 / 100) + row.Status = "low" + row.Remarks = fmt.Sprintf("%s is too low. Increase by %.2f. %s", paramNames[i], shortage, fertAdvice[paramNames[i]]) + recommendations = append(recommendations, fmt.Sprintf("%s is too low. Increase by %.2f.", paramNames[i], shortage)) + + case observed[i] > high: + excess := math.Round((observed[i] - ideal[i]) * 100 / 100) + row.Status = "high" + if paramNames[i] == "Humidity" || paramNames[i] == "Rainfall" { + row.Remarks = "Too high." + } else { + row.Remarks = fmt.Sprintf("Too high. Decrement by %.2f. Consider soil amendments.", excess) + recommendations = append(recommendations, fmt.Sprintf("%s is too high. Decrease by %.2f.", paramNames[i], excess)) + } + } + + table = append(table, row) + } + + c.JSON(http.StatusOK, gin.H{ + "crop": req.CropName, + "suitability_score": score, + "table": table, + "recommendations": recommendations, + }) +} + func (h *PredictHandler) Fertilizer(c *gin.Context) { var req predictRequest if err := c.ShouldBindJSON(&req); err != nil { @@ -391,3 +559,72 @@ func applicationAdvice(fertilizer, crop string) string { } return advice } + + +// GuestFertilizer handles fertilizer recommendation for guest users (no auth required) +func (h *PredictHandler) GuestFertilizer(c *gin.Context) { + var req predictRequest + if err := c.ShouldBindJSON(&req); err != nil { + c.JSON(http.StatusUnprocessableEntity, gin.H{ + "error": gin.H{"code": "VALIDATION_ERROR", "message": err.Error()}, + }) + return + } + + // Guest users can only use manual source + if req.Source != "manual" { + c.JSON(http.StatusBadRequest, gin.H{ + "error": gin.H{ + "code": "INVALID_SOURCE", + "message": "Guest users can only use manual input.", + }, + }) + return + } + + soilType := req.SoilType + if soilType == "" { + soilType = "Black" + } + cropName := req.CropName + if cropName == "" { + cropName = "Wheat" + } + + features := []float32{ + float32(req.Temp), float32(req.Humidity), float32(req.Moisture), + float32(encodeSoil(soilType)), float32(encodeCrop(cropName)), + float32(req.N), float32(req.K), float32(req.P), + } + + fertilizer, err := h.onnx.PredictFertilizer(features) + if err != nil { + c.JSON(http.StatusInternalServerError, gin.H{ + "error": gin.H{"code": "INTERNAL_ERROR", "message": "Fertilizer model inference failed."}, + }) + return + } + + defN := math.Max(0, 50-req.N) + defP := math.Max(0, 40-req.P) + defK := math.Max(0, 40-req.K) + + resp := gin.H{ + "fertilizer": fertilizer, + "composition": fertilizerComposition(fertilizer), + "deficiencies": gin.H{"N": defN, "P": defP, "K": defK}, + "rationale": "Recommended based on soil and crop requirements.", + "application": applicationAdvice(fertilizer, cropName), + } + if defN > 0 { + resp["nitrogen_advice"] = fmt.Sprintf("Add %.1f kg/ha of nitrogen using Urea or similar.", defN) + } + if defP > 0 { + resp["phosphorus_advice"] = fmt.Sprintf("Add %.1f kg/ha of phosphorus using DAP or similar.", defP) + } + if defK > 0 { + resp["potassium_advice"] = fmt.Sprintf("Add %.1f kg/ha of potassium using Muriate of Potash or similar.", defK) + } + + c.JSON(http.StatusOK, resp) +} diff --git a/backend/inference/onnx.go b/backend/inference/onnx.go index 9e519e5..f258b19 100644 --- a/backend/inference/onnx.go +++ b/backend/inference/onnx.go @@ -1,12 +1,20 @@ package inference import ( + "fmt" + ort "github.com/yalue/onnxruntime_go" ) type Models struct { cropSession *ort.AdvancedSession fertilizerSession *ort.AdvancedSession + cropInput *ort.Tensor[float32] + cropOutputLabel *ort.Tensor[int64] + cropOutputProba *ort.Tensor[float32] + fertInput *ort.Tensor[float32] + fertOutputLabel *ort.Tensor[int64] + fertOutputProba *ort.Tensor[float32] cropLabels []string fertilizerLabels []string } @@ -20,7 +28,7 @@ var defaultCropLabels = []string{ var defaultFertilizerLabels = []string{ "10-26-26", "14-35-14", "17-17-17", "20-20", "28-28", - "DAP", "Potassium sulfate", "Superphosphate", "Urea", "Ammonium sulfate", + "DAP", "Urea", } func LoadModels(cropPath, fertilizerPath string) (*Models, error) { @@ -30,53 +38,54 @@ func LoadModels(cropPath, fertilizerPath string) (*Models, error) { return nil, err } - cropSession, err := createSession(cropPath, 7) + m := &Models{ + cropLabels: defaultCropLabels, + fertilizerLabels: defaultFertilizerLabels, + } + + // Create crop session + cropSession, cropInput, cropOutputLabel, cropOutputProba, err := createCropSession(cropPath) if err != nil { return nil, err } + m.cropSession = cropSession + m.cropInput = cropInput + m.cropOutputLabel = cropOutputLabel + m.cropOutputProba = cropOutputProba - fertSession, err := createSession(fertilizerPath, 8) + // Create fertilizer session + fertSession, fertInput, fertOutputLabel, fertOutputProba, err := createFertilizerSession(fertilizerPath) if err != nil { return nil, err } + m.fertilizerSession = fertSession + m.fertInput = fertInput + m.fertOutputLabel = fertOutputLabel + m.fertOutputProba = fertOutputProba - return &Models{ - cropSession: cropSession, - fertilizerSession: fertSession, - cropLabels: defaultCropLabels, - fertilizerLabels: defaultFertilizerLabels, - }, nil + return m, nil } func (m *Models) PredictCrop(features []float32) (string, float64, error) { - input, err := ort.NewTensor(ort.NewShape(1, int64(len(features))), features) - if err != nil { - return "", 0, err - } - - defer input.Destroy() + // Copy features to input tensor + inputData := m.cropInput.GetData() + copy(inputData, features) - outputLabel, err := ort.NewEmptyTensor[int64](ort.NewShape(1)) + // Run inference + err := m.cropSession.Run() if err != nil { return "", 0, err } - defer outputLabel.Destroy() - outputProba, err := ort.NewEmptyTensor[float32](ort.NewShape(1, int64(len(m.cropLabels)))) - if err != nil { - return "", 0, err - } - defer outputProba.Destroy() - - err = m.cropSession.Run() - if err != nil { - return "", 0, err + // Get outputs + idx := int(m.cropOutputLabel.GetData()[0]) + probas := m.cropOutputProba.GetData() + + var maxProba float64 + if idx >= 0 && idx < len(probas) { + maxProba = float64(probas[idx]) } - idx := int(outputLabel.GetData()[0]) - probas := outputProba.GetData() - maxProba := float64(probas[idx]) - label := "unknown" if idx >= 0 && idx < len(m.cropLabels) { label = m.cropLabels[idx] @@ -86,60 +95,94 @@ func (m *Models) PredictCrop(features []float32) (string, float64, error) { } func (m *Models) PredictFertilizer(features []float32) (string, error) { - input, err := ort.NewTensor(ort.NewShape(1, int64(len(features))), features) + // Copy features to input tensor + inputData := m.fertInput.GetData() + copy(inputData, features) + + // Run inference + err := m.fertilizerSession.Run() if err != nil { - return "", err + return "", fmt.Errorf("fertilizer session run failed: %w", err) } - defer input.Destroy() - outputLabel, err := ort.NewEmptyTensor[int64](ort.NewShape(1)) + // Get output + idx := int(m.fertOutputLabel.GetData()[0]) + + label := "unknown" + if idx >= 0 && idx < len(m.fertilizerLabels) { + label = m.fertilizerLabels[idx] + } + + return label, nil +} + +func createCropSession(modelPath string) (*ort.AdvancedSession, *ort.Tensor[float32], *ort.Tensor[int64], *ort.Tensor[float32], error) { + inputShape := ort.NewShape(1, 7) + inputTensor, err := ort.NewEmptyTensor[float32](inputShape) if err != nil { - return "", err + return nil, nil, nil, nil, err } - defer outputLabel.Destroy() - err = m.fertilizerSession.Run() + outputLabelTensor, err := ort.NewEmptyTensor[int64](ort.NewShape(1)) if err != nil { - return "", err + return nil, nil, nil, nil, err } - idx := int(outputLabel.GetData()[0]) - label := "unknown" - if idx >= 0 && idx < len(m.fertilizerLabels) { - label = m.fertilizerLabels[idx] + outputProbaTensor, err := ort.NewEmptyTensor[float32](ort.NewShape(1, 23)) + if err != nil { + return nil, nil, nil, nil, err } - return label, nil + options, err := ort.NewSessionOptions() + if err != nil { + return nil, nil, nil, nil, err + } + + session, err := ort.NewAdvancedSession( + modelPath, + []string{"float_input"}, + []string{"output_label", "output_probability"}, + []ort.ArbitraryTensor{inputTensor}, + []ort.ArbitraryTensor{outputLabelTensor, outputProbaTensor}, + options, + ) + + return session, inputTensor, outputLabelTensor, outputProbaTensor, err } -func createSession( - modelPath string, inputSize int) (*ort.AdvancedSession, error) { - inputShape := ort.NewShape(1, int64(inputSize)) +func createFertilizerSession(modelPath string) (*ort.AdvancedSession, *ort.Tensor[float32], *ort.Tensor[int64], *ort.Tensor[float32], error) { + inputShape := ort.NewShape(1, 8) inputTensor, err := ort.NewEmptyTensor[float32](inputShape) if err != nil { - return nil, err + return nil, nil, nil, nil, err } - outputTensor, err := ort.NewEmptyTensor[float32](inputShape) + outputLabelTensor, err := ort.NewEmptyTensor[int64](ort.NewShape(1)) if err != nil { - return nil, err + return nil, nil, nil, nil, err + } + + // Fertilizer model outputs probabilities (shape [1, 7] based on actual data) + outputProbaTensor, err := ort.NewEmptyTensor[float32](ort.NewShape(1, 7)) + if err != nil { + return nil, nil, nil, nil, err } options, err := ort.NewSessionOptions() if err != nil { - return nil, err + return nil, nil, nil, nil, err } session, err := ort.NewAdvancedSession( modelPath, []string{"float_input"}, - []string{"label"}, + []string{"output_label", "output_probability"}, []ort.ArbitraryTensor{inputTensor}, - []ort.ArbitraryTensor{outputTensor}, + []ort.ArbitraryTensor{outputLabelTensor, outputProbaTensor}, options, ) - return session, err + return session, inputTensor, outputLabelTensor, outputProbaTensor, err } func getOrtLibPath() string { diff --git a/backend/main.go b/backend/main.go index 86e2271..bde6aea 100644 --- a/backend/main.go +++ b/backend/main.go @@ -53,22 +53,29 @@ func main() { r.POST("/api/v1/auth/register", middleware.NewLimiter("3-M"), authH.Register) r.POST("/api/v1/auth/login", middleware.NewLimiter("5-M"), authH.Login) r.POST("/api/v1/auth/refresh", authH.Refresh) + r.POST("/api/v1/auth/guest", middleware.NewLimiter("10-M"), authH.GuestToken) r.POST("/api/v1/device/check", deviceH.Check) + // ── Guest prediction endpoints (no auth required) ───────────────────────── + r.POST("/api/v1/guest/predict/crop", middleware.NewLimiter("10-M"), predictH.GuestCrop) + r.POST("/api/v1/guest/predict/suitability", middleware.NewLimiter("10-M"), predictH.GuestSuitability) + r.POST("/api/v1/guest/predict/fertilizer", middleware.NewLimiter("10-M"), predictH.GuestFertilizer) + // ── Protected routes ────────────────────────────────────────────────────── protected := r.Group("/api/v1") protected.Use(middleware.Auth(cfg.SecretKey)) { protected.POST("/auth/logout", authH.Logout) - protected.GET("/sensor/latest", sensorH.Latest) - protected.GET("/sensor/history", sensorH.History) + // User-only routes (guest tokens blocked) + protected.GET("/sensor/latest", middleware.RequireUser(), sensorH.Latest) + protected.GET("/sensor/history", middleware.RequireUser(), sensorH.History) + protected.GET("/weather", middleware.RequireUser(), weatherH.Get) + // Prediction routes (guest tokens allowed) protected.POST("/predict/crop", predictH.Crop) protected.POST("/predict/suitability", predictH.Suitability) protected.POST("/predict/fertilizer", predictH.Fertilizer) - - protected.GET("/weather", weatherH.Get) } log.Printf("TerraDetect backend listening on :%s", cfg.Port) diff --git a/backend/middleware/auth.go b/backend/middleware/auth.go index 25d02d2..0e28712 100644 --- a/backend/middleware/auth.go +++ b/backend/middleware/auth.go @@ -55,8 +55,28 @@ func Auth(secretKey string) gin.HandlerFunc { return } + // Store token type for route-level checks + tokenType, _ := claims["token_type"].(string) + c.Set("token_type", tokenType) c.Set("username", claims["username"]) c.Set("device_id", claims["device_id"]) c.Next() } } + +// RequireUser blocks guest tokens from accessing user-only routes +func RequireUser() gin.HandlerFunc { + return func(c *gin.Context) { + tokenType, exists := c.Get("token_type") + if !exists || tokenType == "guest" { + c.AbortWithStatusJSON(http.StatusForbidden, gin.H{ + "error": gin.H{ + "code": "FORBIDDEN", + "message": "Guest users cannot access this resource.", + }, + }) + return + } + c.Next() + } +} diff --git a/ml/crop-model.onnx b/ml/crop-model.onnx index 853b7d6..707f408 100644 Binary files a/ml/crop-model.onnx and b/ml/crop-model.onnx differ diff --git a/ml/fertilizer-model.onnx b/ml/fertilizer-model.onnx index 03791a9..fc37801 100644 Binary files a/ml/fertilizer-model.onnx and b/ml/fertilizer-model.onnx differ diff --git a/mobile/app/(app)/_layout.tsx b/mobile/app/(app)/_layout.tsx index 82db1aa..3d0293f 100644 --- a/mobile/app/(app)/_layout.tsx +++ b/mobile/app/(app)/_layout.tsx @@ -1,29 +1,64 @@ -import { useEffect } from 'react' +import { useEffect, useState } from 'react' +import { View } from 'react-native' import { Stack } from 'expo-router' -import { useRouter } from 'expo-router' +import { useRouter, usePathname } from 'expo-router' import { useAuthStore } from '../../store/authStore' +import { BottomNavigation } from '../../components/BottomNavigation' export default function AppLayout() { const router = useRouter() - const { accessToken, loadFromStorage } = useAuthStore() + const pathname = usePathname() + const { accessToken, isGuest, loadFromStorage } = useAuthStore() + const [isReady, setIsReady] = useState(false) useEffect(() => { const init = async () => { await loadFromStorage() - if (!useAuthStore.getState().accessToken) { + const { accessToken: token, isGuest: guest } = useAuthStore.getState() + + // Guest users can only access predict and output pages + const guestAllowedPages = ['predict', 'output'] + const currentPage = pathname.split('/').pop() || '' + const isGuestAllowedPage = guestAllowedPages.includes(currentPage) + + if (!token) { + // No token at all - redirect to landing router.replace('/(auth)/landing') + } else if (guest && !isGuestAllowedPage) { + // Guest trying to access restricted page - redirect to predict + router.replace('/(app)/predict') + } else { + setIsReady(true) } } init() - }, []) + }, [pathname]) - if (!accessToken) return null + if (!isReady) return null + // For guest users, only show predict/output pages without navigation + if (isGuest) { + return ( + + + + + + + ) + } + + // For authenticated users, show all pages with navigation return ( - - - - - + + + + + + + + + + ) } \ No newline at end of file diff --git a/mobile/app/(app)/dashboard.tsx b/mobile/app/(app)/dashboard.tsx index e2208b3..6a3b3f4 100644 --- a/mobile/app/(app)/dashboard.tsx +++ b/mobile/app/(app)/dashboard.tsx @@ -4,13 +4,17 @@ import { LinearGradient } from 'expo-linear-gradient'; import { api, SensorData } from '../../lib/api'; import { useRouter } from 'expo-router'; import { useAuthStore } from '../../store/authStore'; +import { useSensorStore } from '../../store/sensorStore'; import { StatCard } from '../../components/StatCard'; import { HealthMeter } from '../../components/HealthMeter'; import { Card } from '../../components/Card'; +import { ProfileDropdown } from '../../components/ProfileDropdown'; export default function Dashboard() { + const router = useRouter(); const { accessToken, username } = useAuthStore(); const accessExpiry = useAuthStore((s) => s.accessExpiry ?? null); + const { setLatest } = useSensorStore(); const [data, setData] = useState(null); const [refreshing, setRefreshing] = useState(false); const [loading, setLoading] = useState(true); @@ -22,8 +26,98 @@ export default function Dashboard() { if (!accessToken) return; try { setError(null); - const res = await api.latestSensor(accessToken); - setData(res); + // Try to get latest sensor data + try { + const res = await api.latestSensor(accessToken); + console.log('=== Latest sensor API response ==='); + console.log('Full response:', JSON.stringify(res, null, 2)); + + // Extract data from nested structure if present + const sensorValues = (res as any).data || res; + console.log('Extracted sensor values:', JSON.stringify(sensorValues, null, 2)); + + // Map lowercase field names to uppercase + const normalizedData = { + temperature: sensorValues.temperature, + humidity: sensorValues.humidity, + ph: sensorValues.ph, + N: sensorValues.N ?? sensorValues.n ?? 0, + P: sensorValues.P ?? sensorValues.p ?? 0, + K: sensorValues.K ?? sensorValues.k ?? 0, + rainfall: sensorValues.rainfall ?? 0, + timestamp: (res as any).timestamp || new Date().toISOString(), + }; + + console.log('=== Normalized data ==='); + console.log('temperature:', normalizedData.temperature); + console.log('humidity:', normalizedData.humidity); + console.log('ph:', normalizedData.ph); + console.log('N:', normalizedData.N); + console.log('P:', normalizedData.P); + console.log('K:', normalizedData.K); + console.log('Setting data state...'); + setData(normalizedData); + console.log('Data state set successfully'); + + // Update sensor store with the latest data + setLatest({ + temperature: normalizedData.temperature, + humidity: normalizedData.humidity, + ph: normalizedData.ph, + N: normalizedData.N, + P: normalizedData.P, + K: normalizedData.K, + ec: sensorValues.ec ?? 0, + moisture: sensorValues.moisture ?? 0, + }, normalizedData.timestamp); + } catch (latestError) { + // If no latest data, try to get from history + console.log('=== No latest sensor data, trying history ==='); + console.log('Latest error:', latestError); + try { + const historyRes = await api.sensorHistory(accessToken, 1, 1); + console.log('History response:', JSON.stringify(historyRes, null, 2)); + if (historyRes.history && historyRes.history.length > 0) { + // Convert history item to SensorData format + const lastReading = historyRes.history[0]; + console.log('Last reading from history:', JSON.stringify(lastReading, null, 2)); + const sensorData = { + temperature: lastReading.temperature, + humidity: lastReading.humidity, + ph: lastReading.ph, + N: lastReading.N, + P: lastReading.P, + K: lastReading.K, + rainfall: 0, // History doesn't have rainfall + timestamp: lastReading.timestamp, + }; + console.log('=== Setting data from history ==='); + console.log('temperature:', sensorData.temperature); + console.log('humidity:', sensorData.humidity); + console.log('ph:', sensorData.ph); + console.log('N:', sensorData.N); + console.log('P:', sensorData.P); + console.log('K:', sensorData.K); + setData(sensorData); + console.log('Data state set from history successfully'); + // Update sensor store with history data + setLatest({ + temperature: lastReading.temperature, + humidity: lastReading.humidity, + ph: lastReading.ph, + N: lastReading.N, + P: lastReading.P, + K: lastReading.K, + ec: lastReading.ec ?? 0, + moisture: lastReading.moisture ?? 0, + }, lastReading.timestamp); + } else { + throw new Error('No sensor data available'); + } + } catch (historyError) { + throw latestError; // Throw the original error if history also fails + } + } } catch (err: unknown) { console.error('Fetch error:', err); setError(err instanceof Error ? err.message : String(err) || 'Failed to load sensor data'); @@ -44,7 +138,7 @@ export default function Dashboard() { P: data.P, K: data.K, }; - const res = await api.predictCrop(accessToken, body); + const res = await api.predictCrop(accessToken!, body); Alert.alert('Prediction', `Recommended crop: ${res.recommended_crop}\nConfidence: ${Math.round(res.confidence * 100)}%`); } catch (e: unknown) { const msg = e instanceof Error ? e.message : String(e); @@ -61,12 +155,6 @@ export default function Dashboard() { await store.logout(); }; - const router = useRouter(); - - const handleManualInput = () => { - router.push('/manual-input'); - }; - const onRefresh = async () => { setRefreshing(true); await fetchData(); @@ -214,9 +302,7 @@ export default function Dashboard() { 🔔 - - 👨‍🌾 - + @@ -227,7 +313,7 @@ export default function Dashboard() { > {/* Welcome Section */} - + {getGreeting()},{'\n'} {username || 'Farmer'}! @@ -237,10 +323,39 @@ export default function Dashboard() { - {/* Hero Bento Grid */} - - {/* Featured Field Status - 2/3 width */} - + {/* Quick Health Status */} + {data && ( + + + + + {data.ph >= 6.0 && data.ph <= 7.5 ? '✅' : '⚠️'} + + + + + {data.ph >= 6.0 && data.ph <= 7.5 ? 'Optimal Conditions' : 'Needs Attention'} + + + Last updated: {new Date().toLocaleTimeString([], { hour: '2-digit', minute: '2-digit' })} + + + + router.push('/(app)/history')} + className='px-4 py-2 bg-surface-container-high dark:bg-surface-container-high-dark rounded-full' + > + + History + + + + )} + + {/* Hero Bento Grid - Mobile Optimized */} + + {/* Featured Field Status - Full Width on Mobile */} + {/* Gradient overlay */} - {/* pH Health Meter - 1/3 width */} - - - - 🧪 + {/* pH Health Meter - Full Width on Mobile */} + + + + + 🧪 + + + + Soil pH Level + + + {data?.ph?.toFixed(1) ?? '--'} + + + + + + {data?.ph && data.ph >= 6.0 && data.ph <= 7.5 ? 'Optimal' : 'Monitor'} + - - {data?.ph && data.ph >= 6.0 && data.ph <= 7.5 ? 'Optimal' : 'Monitor'} - - - Soil pH Level - - - {data?.ph?.toFixed(1) ?? '--'} - + - {/* Secondary Insights Area */} - - - {/* Hydration Forecast */} - - - Hydration Forecast - - - - - - - - - - - {['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'].map((day) => ( - - {day} - - ))} - + {/* Secondary Insights Area - Mobile Optimized */} + + {/* Hydration Forecast */} + + + Hydration Forecast + + + + + + + + + + {['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'].map((day) => ( + + {day} + + ))} + + - {/* Predictive Action */} - - + {/* Predictive Action */} + + + 💡 - + Predictive Action - - Nitrogen levels are peaking. Delay fertilization for 48 hours to prevent runoff. - - - - View Full Analysis - - + + Nitrogen levels are peaking. Delay fertilization for 48 hours to prevent runoff. + + router.push('/(app)/output')} + > + + View Full Analysis → + + diff --git a/mobile/app/(app)/history.tsx b/mobile/app/(app)/history.tsx index c1eb9d2..2cdeae5 100644 --- a/mobile/app/(app)/history.tsx +++ b/mobile/app/(app)/history.tsx @@ -74,42 +74,115 @@ function WeeklyTrendChart() { function HistoryRow({ item }: { item: SensorReading }) { const date = new Date(item.timestamp) - const dateStr = date.toLocaleDateString([], { month: 'short', day: 'numeric', year: 'numeric' }) + const dateStr = date.toLocaleDateString([], { month: 'short', day: 'numeric' }) const timeStr = date.toLocaleTimeString([], { hour: '2-digit', minute: '2-digit' }) return ( - - - - 📋 - - - {dateStr} - - {timeStr} - + + {/* Header Row with Date/Time */} + + + + 📋 + + + + {dateStr} + + + {timeStr} + + - {/* Sensor values */} - - - Temp - {item.temperature.toFixed(1)}°C + + {/* Data Grid - 2 columns */} + + {/* Row 1: Temp & Humidity */} + + + + TEMP + + + {item.temperature.toFixed(1)}°C + + + + + HUMID + + + {item.humidity.toFixed(0)}% + + - - Humid - {item.humidity.toFixed(0)}% + + {/* Row 2: pH & EC */} + + + + pH LEVEL + + + {item.ph.toFixed(1)} + + + + + EC (mS/cm) + + + {((item as any).ec ?? 0.0).toFixed(1)} + + - - pH - {item.ph.toFixed(1)} + + {/* Row 3: NPK */} + + + + N + + + {item.N.toFixed(0)} + + + + + P + + + {item.P.toFixed(0)} + + + + + K + + + {item.K.toFixed(0)} + + - - NPK - - N:{item.N.toFixed(0)} - P:{item.P.toFixed(0)} - K:{item.K.toFixed(0)} + + {/* Row 4: Moisture & Rainfall */} + + + + MOISTURE + + + {(item.moisture ?? 0.0).toFixed(1)}% + + + + + RAINFALL + + + {((item as any).rainfall ?? 0.0).toFixed(0)} mm + diff --git a/mobile/app/(app)/manual-input.tsx b/mobile/app/(app)/manual-input.tsx deleted file mode 100644 index 7d401c9..0000000 --- a/mobile/app/(app)/manual-input.tsx +++ /dev/null @@ -1,84 +0,0 @@ -import React, { useState } from 'react'; -import { View, Text, ScrollView, TextInput, Pressable, Alert } from 'react-native'; -import { api } from '../../lib/api'; - -export default function ManualInput() { - const [temperature, setTemperature] = useState(''); - const [humidity, setHumidity] = useState(''); - const [ph, setPh] = useState(''); - const [N, setN] = useState(''); - const [P, setP] = useState(''); - const [K, setK] = useState(''); - const [rainfall, setRainfall] = useState(''); - const [loading, setLoading] = useState(false); - - const parseNumber = (s: string) => { - const n = Number(s); - return Number.isFinite(n) ? n : undefined; - }; - - const handlePredict = async () => { - const body: Record = {}; - const t = parseNumber(temperature); - const h = parseNumber(humidity); - const p = parseNumber(ph); - const n = parseNumber(N); - const pp = parseNumber(P); - const k = parseNumber(K); - const r = parseNumber(rainfall); - - if (t === undefined || h === undefined || p === undefined || n === undefined || pp === undefined || k === undefined) { - return Alert.alert('Validation', 'Please fill temperature, humidity, pH, N, P, and K with numbers.'); - } - - body.temperature = t; - body.humidity = h; - body.ph = p; - body.N = n; - body.P = pp; - body.K = k; - if (r !== undefined) body.rainfall = r; - - setLoading(true); - try { - const res = await api.guestPredictCrop(body); - Alert.alert('Prediction', `Recommended crop: ${res.recommended_crop}\nConfidence: ${Math.round(res.confidence * 100)}%`); - } catch (e) { - Alert.alert('Prediction failed', e instanceof Error ? e.message : String(e)); - } finally { - setLoading(false); - } - }; - - const InputRow = ({ label, value, onChange, placeholder }: { label:string; value:string; onChange:(v:string)=>void; placeholder?:string }) => ( - - {label} - - - ); - - return ( - - - Manual Input - - - - - - - - - - {loading ? 'Predicting…' : 'Predict'} - - - - ); -} diff --git a/mobile/app/(app)/output.tsx b/mobile/app/(app)/output.tsx new file mode 100644 index 0000000..e0eb902 --- /dev/null +++ b/mobile/app/(app)/output.tsx @@ -0,0 +1,716 @@ +import React, { useState, useEffect } from 'react' +import { + View, Text, ScrollView, + TouchableOpacity, ActivityIndicator, Alert, Modal, FlatList, +} from 'react-native' +import { LinearGradient } from 'expo-linear-gradient' +import { useRouter } from 'expo-router' +import { api } from '../../lib/api' +import { getErrorMessage } from '../../lib/error' +import { useAuthStore } from '../../store/authStore' +import { useSensorStore, SensorReading } from '../../store/sensorStore' +import { usePredictionStore, PredictionMode } from '../../store/predictionStore' + +type Mode = 'crop' | 'suitability' | 'fertilizer' + +interface CropResult { recommended_crop: string; confidence: number } +interface SuitabilityTableRow { parameter: string; recommended: number; observed: number; status: string } +interface SuitabilityResult { crop: string; suitability_score: number; table: SuitabilityTableRow[] } +interface FertilizerResult { + fertilizer: string; composition: string; application: string + nitrogen_advice?: string; phosphorus_advice?: string; potassium_advice?: string +} +type PredictResult = CropResult | SuitabilityResult | FertilizerResult | null + +function isCropResult(r: PredictResult): r is CropResult { + return r !== null && 'recommended_crop' in r +} +function isSuitabilityResult(r: PredictResult): r is SuitabilityResult { + return r !== null && 'suitability_score' in r +} +function isFertilizerResult(r: PredictResult): r is FertilizerResult { + return r !== null && 'fertilizer' in r +} + +function CropResultView({ result }: { result: CropResult }) { + const confidence = result.confidence ?? 0 + return ( + + + + + + Top Match + + + {result.recommended_crop} + + + + + {confidence.toFixed(0)}% + + + Confidence + + + + {/* Progress bar */} + + + + + ✓ + + + + ) +} + +function SuitabilityResultView({ result }: { result: SuitabilityResult }) { + return ( + + + + {result.crop} + + + Suitability Score: {result.suitability_score?.toFixed(1)}% + + + {result.table?.map((row, i) => ( + + {row.parameter} + {row.observed} / {row.recommended} + + {row.status} + + + ))} + + ) +} + +function FertilizerResultView({ result }: { result: FertilizerResult }) { + return ( + + + + + 🧪 + + + {result.fertilizer} + {result.composition} + + + {result.application} + + {result.nitrogen_advice && ( + + Nitrogen Advice + {result.nitrogen_advice} + + )} + {result.phosphorus_advice && ( + + Phosphorus Advice + {result.phosphorus_advice} + + )} + {result.potassium_advice && ( + + Potassium Advice + {result.potassium_advice} + + )} + + ) +} + +export default function OutputScreen() { + const router = useRouter() + const { accessToken, isGuest } = useAuthStore() + const { latest: sensorData } = useSensorStore() + const { result: storedResult, mode: storedMode, setResult } = usePredictionStore() + + const [mode, setMode] = useState(storedMode as Mode) + const [isLoading, setIsLoading] = useState(false) + const [result, setLocalResult] = useState(storedResult) + const [hasAutoRun, setHasAutoRun] = useState(false) + const [showHistoryModal, setShowHistoryModal] = useState(false) + const [historyData, setHistoryData] = useState([]) + const [loadingHistory, setLoadingHistory] = useState(false) + + // Sync with stored result + useEffect(() => { + if (storedResult) { + setLocalResult(storedResult) + setMode(storedMode as Mode) + } + }, [storedResult, storedMode]) + + const fetchHistory = async () => { + if (!accessToken) return + setLoadingHistory(true) + try { + const response = await api.sensorHistory(accessToken, 1, 10) + setHistoryData(response.history) + } catch (err) { + Alert.alert('Error', 'Failed to load history') + } finally { + setLoadingHistory(false) + } + } + + const runPredictionWithSample = async (sample: SensorReading) => { + if (!accessToken) return + setShowHistoryModal(false) + setIsLoading(true) + setLocalResult(null) + + try { + let res + if (mode === 'crop') { + res = await api.predictCrop(accessToken!, { + source: 'sensor', + N: sample.N, + P: sample.P, + K: sample.K, + temperature: sample.temperature, + humidity: sample.humidity, + ph: sample.ph, + rainfall: 200, + }) + } else if (mode === 'suitability') { + res = await api.predictSuitability(accessToken!, { + source: 'sensor', + crop_name: 'Wheat', + N: sample.N, + P: sample.P, + K: sample.K, + temperature: sample.temperature, + humidity: sample.humidity, + ph: sample.ph, + rainfall: 200, + }) + } else { + res = await api.predictFertilizer(accessToken!, { + source: 'sensor', + crop_name: 'Wheat', + soil_type: 'Black', + N: sample.N, + P: sample.P, + K: sample.K, + temperature: sample.temperature, + humidity: sample.humidity, + ph: sample.ph, + moisture: sample.moisture, + rainfall: 200, + }) + } + setLocalResult(res) + setResult(res, mode, 'sensor') + } catch (err) { + Alert.alert('Prediction failed', getErrorMessage(err)) + } finally { + setIsLoading(false) + } + } + + const runPrediction = async () => { + if (!accessToken || !sensorData) return + setIsLoading(true) + setLocalResult(null) + + try { + let res + if (mode === 'crop') { + res = await api.predictCrop(accessToken!, { + source: 'sensor', + N: sensorData.N, + P: sensorData.P, + K: sensorData.K, + temperature: sensorData.temperature, + humidity: sensorData.humidity, + ph: sensorData.ph, + rainfall: 200, // Default value + }) + } else if (mode === 'suitability') { + res = await api.predictSuitability(accessToken!, { + source: 'sensor', + crop_name: 'Wheat', + N: sensorData.N, + P: sensorData.P, + K: sensorData.K, + temperature: sensorData.temperature, + humidity: sensorData.humidity, + ph: sensorData.ph, + rainfall: 200, + }) + } else { + res = await api.predictFertilizer(accessToken!, { + source: 'sensor', + crop_name: 'Wheat', + soil_type: 'Black', + N: sensorData.N, + P: sensorData.P, + K: sensorData.K, + temperature: sensorData.temperature, + humidity: sensorData.humidity, + ph: sensorData.ph, + moisture: sensorData.moisture, + rainfall: 200, + }) + } + setLocalResult(res) + setResult(res, mode, 'sensor') + } catch (err) { + Alert.alert('Prediction failed', getErrorMessage(err)) + } finally { + setIsLoading(false) + } + } + + // Auto-run prediction with latest sensor data on mount (only if no stored result) + useEffect(() => { + if (sensorData && !hasAutoRun && accessToken && !storedResult) { + setHasAutoRun(true) + runPrediction() + } + }, [sensorData, hasAutoRun, accessToken, storedResult]) + + const tabs: { id: Mode; label: string }[] = [ + { id: 'crop', label: 'Crop Recommendation' }, + { id: 'suitability', label: 'Suitability Analysis' }, + { id: 'fertilizer', label: 'Fertilizer Rec.' }, + ] + + // No sensor data state (only for non-guest users) + // Show this screen only if there's no sensor data AND no result AND not loading + if (!sensorData && !isGuest && !result && !isLoading) { + return ( + + + + 🌱 + TerraDetect + + router.back()}> + ← + + + + + + ⚠️ + + + No Sensor Data Available + + + Please fetch sensor data from the dashboard first, choose from history, or input values manually. + + + { + fetchHistory() + setShowHistoryModal(true) + }} + className="rounded-full overflow-hidden w-full mb-4" + > + + + Choose from History + + + + + router.push('/(app)/predict')} + className="w-full py-5 items-center justify-center rounded-full border-2 border-primary" + > + + Input Manually + + + + + {/* History Modal */} + setShowHistoryModal(false)} + > + + + + + Select Sample + + setShowHistoryModal(false)}> + ✕ + + + + {loadingHistory ? ( + + + + ) : ( + item.timestamp} + renderItem={({ item }) => { + const date = new Date(item.timestamp) + const dateStr = date.toLocaleDateString([], { month: 'short', day: 'numeric', year: 'numeric' }) + const timeStr = date.toLocaleTimeString([], { hour: '2-digit', minute: '2-digit' }) + + return ( + runPredictionWithSample(item)} + className="bg-surface-container-low rounded-lg p-4 mb-3" + > + + + {dateStr} + + + {timeStr} + + + + + Temp: {item.temperature.toFixed(1)}°C + + + Humid: {item.humidity.toFixed(0)}% + + + pH: {item.ph.toFixed(1)} + + + EC: {((item as any).ec ?? 0.0).toFixed(1)} + + + N: {item.N.toFixed(0)} + + + P: {item.P.toFixed(0)} + + + K: {item.K.toFixed(0)} + + + Moist: {(item.moisture ?? 0.0).toFixed(1)}% + + + + ) + }} + ListEmptyComponent={ + + No history available + + } + /> + )} + + + + + ) + } + + // Guest users without stored result - redirect to predict page + if (isGuest && !storedResult) { + return ( + + + + 🌱 + TerraDetect + + + Guest + + + + router.back()}> + ← + + + + + + 📊 + + + No Prediction Yet + + + Enter soil parameters manually to get your prediction results. + + + router.push('/(app)/predict')} + className="rounded-full overflow-hidden w-full" + > + + + Start Prediction + + + + + + ) + } + + return ( + + {/* Glassmorphic Top Nav */} + + + 🌱 + TerraDetect + {isGuest && ( + + + Guest + + + )} + + router.back()}> + ← + + + + + + {/* Page Title */} + + + Analysis Results + + + {isGuest ? "Based on your manual input." : "Based on your latest sensor readings."} + + + + {/* Tab Navigation - Pill Style */} + + {tabs.map(tab => ( + { + setMode(tab.id) + if (sensorData) { + // Re-run prediction with new mode + setTimeout(() => runPrediction(), 100) + } + }} + className={`px-5 py-3 rounded-full ${mode === tab.id + ? 'bg-primary-container' + : 'bg-surface-container-high' + }`} + > + + {tab.label} + + + ))} + + + {/* Loading State */} + {isLoading && ( + + + + Running analysis... + + + )} + + {/* Results Section */} + {!isLoading && result && ( + <> + {isCropResult(result) && } + {isSuitabilityResult(result) && } + {isFertilizerResult(result) && } + + {/* Action Buttons - Only for non-guest users */} + {!isGuest && ( + <> + { + // Clear results and sensor data to show "No Sensor Data" screen + setLocalResult(null) + setResult(null, mode, 'sensor') + }} + className="mt-6 rounded-full overflow-hidden" + > + + + Predict Again + + + + + { + fetchHistory() + setShowHistoryModal(true) + }} + className="mt-4 w-full py-5 items-center justify-center rounded-full border-2 border-primary" + > + + Choose from History + + + + )} + + {/* Guest user action - back to predict page */} + {isGuest && ( + router.push('/(app)/predict')} + className="mt-6 rounded-full overflow-hidden" + > + + + Try Another Prediction + + + + )} + + )} + + + + {/* History Modal */} + setShowHistoryModal(false)} + > + + + + + Select Sample + + setShowHistoryModal(false)}> + ✕ + + + + {loadingHistory ? ( + + + + ) : ( + item.timestamp} + renderItem={({ item }) => { + const date = new Date(item.timestamp) + const dateStr = date.toLocaleDateString([], { month: 'short', day: 'numeric', year: 'numeric' }) + const timeStr = date.toLocaleTimeString([], { hour: '2-digit', minute: '2-digit' }) + + return ( + runPredictionWithSample(item)} + className="bg-surface-container-low rounded-lg p-4 mb-3" + > + + + {dateStr} + + + {timeStr} + + + + + Temp: {item.temperature.toFixed(1)}°C + + + Humid: {item.humidity.toFixed(0)}% + + + pH: {item.ph.toFixed(1)} + + + EC: {((item as any).ec ?? 0.0).toFixed(1)} + + + N: {item.N.toFixed(0)} + + + P: {item.P.toFixed(0)} + + + K: {item.K.toFixed(0)} + + + Moist: {(item.moisture ?? 0.0).toFixed(1)}% + + + + ) + }} + ListEmptyComponent={ + + No history available + + } + /> + )} + + + + + ) +} \ No newline at end of file diff --git a/mobile/app/(app)/predict.tsx b/mobile/app/(app)/predict.tsx index 14eba94..d2082ee 100644 --- a/mobile/app/(app)/predict.tsx +++ b/mobile/app/(app)/predict.tsx @@ -4,10 +4,11 @@ import { TouchableOpacity, ActivityIndicator, Alert, } from 'react-native' import { LinearGradient } from 'expo-linear-gradient' +import { useRouter } from 'expo-router' import { api } from '../../lib/api' import { getErrorMessage } from '../../lib/error' import { useAuthStore } from '../../store/authStore' -import { useSensorStore } from '../../store/sensorStore' +import { usePredictionStore } from '../../store/predictionStore' type Mode = 'crop' | 'suitability' | 'fertilizer' @@ -17,36 +18,16 @@ const CROPS = ['Rice', 'Wheat', 'Maize', 'Cotton', 'Sugarcane', 'Banana', 'Mango interface FormValues { N: string; P: string; K: string temperature: string; humidity: string - ph: string; rainfall: string; moisture: string + ph: string; rainfall: string; moisture: string; ec: string cropName: string; soilType: string } const defaultForm: FormValues = { N: '', P: '', K: '', temperature: '', humidity: '', ph: '', rainfall: '', - moisture: '', cropName: 'Wheat', soilType: 'Black', + moisture: '', ec: '', cropName: 'Wheat', soilType: 'Black', } -interface CropResult { recommended_crop: string; confidence: number } -interface SuitabilityTableRow { parameter: string; recommended: number; observed: number; status: string } -interface SuitabilityResult { crop: string; suitability_score: number; table: SuitabilityTableRow[] } -interface FertilizerResult { - fertilizer: string; composition: string; application: string - nitrogen_advice?: string; phosphorus_advice?: string; potassium_advice?: string -} -type PredictResult = CropResult | SuitabilityResult | FertilizerResult | null - -function isCropResult(r: PredictResult): r is CropResult { - return r !== null && 'recommended_crop' in r -} -function isSuitabilityResult(r: PredictResult): r is SuitabilityResult { - return r !== null && 'suitability_score' in r -} -function isFertilizerResult(r: PredictResult): r is FertilizerResult { - return r !== null && 'fertilizer' in r -} - -// Rounded-full field input matching stitch design function FieldInput({ label, value, onChange, unit, placeholder, }: { @@ -70,173 +51,82 @@ function FieldInput({ ) } -function CropResultView({ result }: { result: CropResult }) { - const confidence = result.confidence ?? 0 - return ( - - - - - - Top Match - - - {result.recommended_crop} - - - - - {confidence.toFixed(0)}% - - - Confidence - - - - {/* Progress bar */} - - - - - ✓ - - - - ) -} - -function SuitabilityResultView({ result }: { result: SuitabilityResult }) { - return ( - - - - {result.crop} - - - Suitability Score: {result.suitability_score?.toFixed(1)}% - - - {result.table?.map((row, i) => ( - - {row.parameter} - {row.observed} / {row.recommended} - - {row.status} - - - ))} - - ) -} - -function FertilizerResultView({ result }: { result: FertilizerResult }) { - return ( - - - - - 🧪 - - - {result.fertilizer} - {result.composition} - - - {result.application} - - {result.nitrogen_advice && ( - - Nitrogen Advice - {result.nitrogen_advice} - - )} - {result.phosphorus_advice && ( - - Phosphorus Advice - {result.phosphorus_advice} - - )} - {result.potassium_advice && ( - - Potassium Advice - {result.potassium_advice} - - )} - - ) -} - export default function PredictScreen() { - const { accessToken } = useAuthStore() - const { latest: sensorData } = useSensorStore() + const router = useRouter() + const { accessToken, isGuest } = useAuthStore() + const { setResult } = usePredictionStore() const [mode, setMode] = useState('crop') const [form, setForm] = useState(defaultForm) - const [useSensor, setUseSensor] = useState(false) const [isLoading, setIsLoading] = useState(false) - const [result, setResult] = useState(null) const setField = (field: keyof FormValues) => (value: string) => setForm((prev) => ({ ...prev, [field]: value })) - const fillFromSensor = () => { - if (!sensorData) return Alert.alert('No sensor data', 'Fetch data from the dashboard first.') - setForm((prev) => ({ - ...prev, - N: sensorData.N.toFixed(1), - P: sensorData.P.toFixed(1), - K: sensorData.K.toFixed(1), - temperature: sensorData.temperature.toFixed(1), - humidity: sensorData.humidity.toFixed(1), - ph: sensorData.ph.toFixed(1), - moisture: sensorData.moisture.toFixed(1), - })) - setUseSensor(true) - } - const handleSubmit = async () => { - if (!accessToken) return + // Mode-specific validation + let requiredFields = ['N', 'P', 'K', 'temperature', 'humidity', 'ph'] + + if (mode === 'crop') { + requiredFields.push('rainfall') + } else if (mode === 'suitability') { + requiredFields.push('rainfall') + } else if (mode === 'fertilizer') { + requiredFields.push('moisture') + } + + const emptyFields = requiredFields.filter(field => !form[field as keyof FormValues] || form[field as keyof FormValues].trim() === '') + + if (emptyFields.length > 0) { + Alert.alert('Missing Fields', `Please fill in all required fields: ${emptyFields.join(', ')}`) + return + } + setIsLoading(true) - setResult(null) - const source = useSensor ? 'sensor' : 'manual' const num = (v: string) => parseFloat(v) || 0 try { - let res: PredictResult + let res + const payload = { + source: 'manual', + N: num(form.N), + P: num(form.P), + K: num(form.K), + temperature: num(form.temperature), + humidity: num(form.humidity), + ph: num(form.ph), + } + if (mode === 'crop') { - res = await api.predictCrop(accessToken, { - source, N: num(form.N), P: num(form.P), K: num(form.K), - temperature: num(form.temperature), humidity: num(form.humidity), - ph: num(form.ph), rainfall: num(form.rainfall), - }) + const cropPayload = { ...payload, rainfall: num(form.rainfall) } + res = isGuest + ? await api.guestPredictCrop(cropPayload) + : await api.predictCrop(accessToken!, cropPayload) } else if (mode === 'suitability') { - if (!form.cropName) return Alert.alert('Error', 'Select a crop first.') - res = await api.predictSuitability(accessToken, { - source, crop_name: form.cropName, - N: num(form.N), P: num(form.P), K: num(form.K), - temperature: num(form.temperature), humidity: num(form.humidity), - ph: num(form.ph), rainfall: num(form.rainfall), - }) + if (!form.cropName) { + Alert.alert('Error', 'Select a crop first.') + setIsLoading(false) + return + } + const suitPayload = { ...payload, crop_name: form.cropName, rainfall: num(form.rainfall) } + res = isGuest + ? await api.guestPredictSuitability(suitPayload) + : await api.predictSuitability(accessToken!, suitPayload) } else { - res = await api.predictFertilizer(accessToken, { - source, crop_name: form.cropName, soil_type: form.soilType, - N: num(form.N), P: num(form.P), K: num(form.K), - temperature: num(form.temperature), humidity: num(form.humidity), - ph: num(form.ph), moisture: num(form.moisture), rainfall: num(form.rainfall), - }) + const fertPayload = { + ...payload, + crop_name: form.cropName, + soil_type: form.soilType, + moisture: num(form.moisture), + rainfall: num(form.rainfall) || 100, + } + res = isGuest + ? await api.guestPredictFertilizer(fertPayload) + : await api.predictFertilizer(accessToken!, fertPayload) } - setResult(res) + // Store result and navigate to output page + setResult(res, mode, 'manual') + router.push('/(app)/output') } catch (err) { Alert.alert('Prediction failed', getErrorMessage(err)) } finally { @@ -257,8 +147,17 @@ export default function PredictScreen() { 🌱 TerraDetect + {isGuest && ( + + + Guest + + + )} - 🔔 + router.back()}> + ← + @@ -266,10 +165,10 @@ export default function PredictScreen() { {/* Page Title */} - AI Predictions + Manual Input - Harnessing machine learning for precision agronomy. + Enter soil parameters manually for prediction. @@ -283,7 +182,7 @@ export default function PredictScreen() { {tabs.map(tab => ( { setMode(tab.id); setResult(null) }} + onPress={() => setMode(tab.id)} className={`px-5 py-3 rounded-full ${mode === tab.id ? 'bg-primary-container' : 'bg-surface-container-high' @@ -297,17 +196,6 @@ export default function PredictScreen() { ))} - {/* Sensor Auto-Fill Banner */} - {sensorData && ( - - Use live sensor data - Tap to fill → - - )} - {/* Input Form Section */} @@ -370,13 +258,23 @@ export default function PredictScreen() { + + + + + + + + - + {mode !== 'fertilizer' && ( + + )} {mode === 'fertilizer' && ( - + )} {/* Signature Gradient Submit Button */} @@ -400,13 +298,8 @@ export default function PredictScreen() { - - {/* Results Section */} - {isCropResult(result) && } - {isSuitabilityResult(result) && } - {isFertilizerResult(result) && } ) -} \ No newline at end of file +} diff --git a/mobile/app/(app)/profile.tsx b/mobile/app/(app)/profile.tsx new file mode 100644 index 0000000..a29caab --- /dev/null +++ b/mobile/app/(app)/profile.tsx @@ -0,0 +1,223 @@ +import React, { useState } from 'react'; +import { View, Text, ScrollView, Pressable, TextInput, Alert } from 'react-native'; +import { useRouter } from 'expo-router'; +import { useAuthStore } from '../../store/authStore'; +import { LinearGradient } from 'expo-linear-gradient'; + +export default function ProfileScreen() { + const router = useRouter(); + const { username, logout } = useAuthStore(); + const [isEditing, setIsEditing] = useState(false); + const [editedUsername, setEditedUsername] = useState(username || ''); + + const handleSave = () => { + // TODO: Implement profile update API call + Alert.alert('Success', 'Profile updated successfully'); + setIsEditing(false); + }; + + const handleLogout = async () => { + Alert.alert( + 'Logout', + 'Are you sure you want to logout?', + [ + { text: 'Cancel', style: 'cancel' }, + { + text: 'Logout', + style: 'destructive', + onPress: async () => { + await logout(); + router.replace('/(auth)/landing'); + }, + }, + ] + ); + }; + + return ( + + {/* Top App Bar */} + + router.back()} + className="w-10 h-10 rounded-full items-center justify-center active:bg-surface-container dark:active:bg-surface-container-dark" + > + ← + + + Profile + + + + + + {/* Profile Header Card */} + + {/* Avatar */} + + 👨‍🌾 + + + {/* Username */} + {isEditing ? ( + + ) : ( + + {username || 'Farmer'} + + )} + + {/* Edit/Save Button */} + {isEditing ? ( + + { + setIsEditing(false); + setEditedUsername(username || ''); + }} + className="bg-surface-container-high dark:bg-surface-container-high-dark px-6 py-2 rounded-full" + > + + Cancel + + + + + Save + + + + ) : ( + setIsEditing(true)} + className="bg-surface-container-high dark:bg-surface-container-high-dark px-6 py-2 rounded-full" + > + + Edit Profile + + + )} + + + {/* Account Information */} + + + Account Information + + + + + + Username + + + {username || 'Not set'} + + + + + + Account Type + + + Farmer Account + + + + + + {/* Statistics */} + + + Your Statistics + + + + + + 127 + + + Total Readings + + + + + + 42 + + + Predictions + + + + + + {/* Settings Section */} + + + Settings + + + + + + 🔔 + + Notifications + + + → + + + + + 🌓 + + Theme + + + → + + + + + 🔒 + + Privacy & Security + + + → + + + + + {/* Logout Button */} + + + + 🚪 Logout + + + + + {/* App Version */} + + TerraDetect v1.0.0 + + + + + ); +} diff --git a/mobile/app/(auth)/guest.tsx b/mobile/app/(auth)/guest.tsx new file mode 100644 index 0000000..b924c55 --- /dev/null +++ b/mobile/app/(auth)/guest.tsx @@ -0,0 +1,109 @@ +import React, { useState } from 'react' +import { View, Text, TouchableOpacity, ActivityIndicator, Alert } from 'react-native' +import { LinearGradient } from 'expo-linear-gradient' +import { useRouter } from 'expo-router' +import { useAuthStore } from '../../store/authStore' + +export default function GuestScreen() { + const router = useRouter() + const { loginAsGuest } = useAuthStore() + const [isLoading, setIsLoading] = useState(false) + + const handleContinueAsGuest = async () => { + setIsLoading(true) + try { + await loginAsGuest() + router.replace('/(app)/predict') + } catch (err) { + Alert.alert('Error', 'Failed to start guest session. Please try again.') + } finally { + setIsLoading(false) + } + } + + return ( + + {/* Logo */} + + + 🌱 + + + TerraDetect + + + Try our AI-powered predictions without an account + + + + {/* Content */} + + + + Guest Mode + + + As a guest, you can: + + + + ✓ + + Get crop recommendations based on soil parameters + + + + ✓ + + Analyze crop suitability for your conditions + + + + ✓ + + Get fertilizer recommendations + + + + + + + Note: Guest mode requires manual input. Sign up to access sensor data, history, and more features. + + + + + {/* Action Buttons */} + + + {isLoading ? ( + + ) : ( + + Continue as Guest + + )} + + + + router.push('/(auth)/login')} + className="py-5 items-center justify-center rounded-full border-2 border-primary" + > + + Sign In Instead + + + + + ) +} diff --git a/mobile/app/(auth)/landing.tsx b/mobile/app/(auth)/landing.tsx index 9996e36..6c8bca9 100644 --- a/mobile/app/(auth)/landing.tsx +++ b/mobile/app/(auth)/landing.tsx @@ -141,13 +141,22 @@ export default function LandingScreen() { router.push("/(auth)/register")} - className="bg-surface-container-high dark:bg-surface-container-high-dark py-5 rounded-full items-center active:opacity-80" + className="bg-surface-container-high dark:bg-surface-container-high-dark py-5 rounded-full items-center active:opacity-80 mb-4" > Create Account + router.push("/(auth)/guest")} + className="border-2 border-primary dark:border-primary-dark py-5 rounded-full items-center active:opacity-80" + > + + Try as Guest + + + Join 2,500+ agricultural innovators using TerraDetect diff --git a/mobile/app/index.tsx b/mobile/app/index.tsx index ea3a235..23f0ee3 100644 --- a/mobile/app/index.tsx +++ b/mobile/app/index.tsx @@ -3,10 +3,12 @@ import { useAuthStore } from '../store/authStore'; export default function Index() { const accessToken = useAuthStore((state) => state.accessToken); + const isGuest = useAuthStore((state) => state.isGuest); - // Redirect to dashboard if authenticated, otherwise to landing + // Redirect based on authentication status if (accessToken) { - return ; + // Guest users go to predict page, regular users go to dashboard + return ; } return ; diff --git a/mobile/components/BottomNavigation.tsx b/mobile/components/BottomNavigation.tsx new file mode 100644 index 0000000..3d075c5 --- /dev/null +++ b/mobile/components/BottomNavigation.tsx @@ -0,0 +1,130 @@ +import React from 'react'; +import { View, Text, Pressable } from 'react-native'; +import { useRouter, usePathname } from 'expo-router'; +import { useAuthStore } from '../store/authStore'; + +export interface BottomNavigationProps { + className?: string; +} + +interface NavItem { + route: string; + icon: string; + iconFilled: string; + label: string; +} + +const NAV_ITEMS: NavItem[] = [ + { + route: '/(app)/dashboard', + icon: '📊', + iconFilled: '📊', + label: 'Dashboard', + }, + { + route: '/(app)/history', + icon: '📜', + iconFilled: '📋', + label: 'History', + }, + { + route: '/(app)/output', + icon: '🔮', + iconFilled: '🔮', + label: 'Prediction', + }, +]; + +export const BottomNavigation: React.FC = ({ + className = '', +}) => { + const router = useRouter(); + const pathname = usePathname(); + const { accessToken, isGuest } = useAuthStore(); + + // Don't show navigation for guest users + if (!accessToken || isGuest) { + return null; + } + + const handleNavigate = (route: string) => { + router.push(route as any); + }; + + const isActive = (route: string) => { + // Extract the screen name from the route + const screenName = route.split('/').pop(); + return pathname.includes(screenName || ''); + }; + + return ( + + {NAV_ITEMS.map((item) => { + const active = isActive(item.route); + + return ( + handleNavigate(item.route)} + className={` + flex flex-col items-center justify-center + px-5 py-2 + rounded-full + ${active + ? 'bg-primary-fixed dark:bg-primary-fixed-dark scale-90' + : 'bg-transparent' + } + `.trim()} + style={{ + minWidth: 80, + }} + > + {/* Icon */} + + {active ? item.iconFilled : item.icon} + + + {/* Label */} + + {item.label} + + + ); + })} + + ); +}; diff --git a/mobile/components/ProfileDropdown.tsx b/mobile/components/ProfileDropdown.tsx new file mode 100644 index 0000000..e44dcd7 --- /dev/null +++ b/mobile/components/ProfileDropdown.tsx @@ -0,0 +1,95 @@ +import React, { useState } from 'react'; +import { View, Text, Pressable, Modal } from 'react-native'; +import { useRouter } from 'expo-router'; +import { useAuthStore } from '../store/authStore'; + +export interface ProfileDropdownProps { + username?: string; + onLogout?: () => void; +} + +export const ProfileDropdown: React.FC = ({ + username, + onLogout, +}) => { + const [isOpen, setIsOpen] = useState(false); + const router = useRouter(); + const { logout } = useAuthStore(); + + const handleLogout = async () => { + setIsOpen(false); + if (onLogout) { + onLogout(); + } else { + await logout(); + router.replace('/(auth)/landing'); + } + }; + + const handleProfile = () => { + setIsOpen(false); + router.push('/(app)/profile' as any); + }; + + return ( + + {/* Profile Avatar Button */} + setIsOpen(!isOpen)} + className="w-10 h-10 rounded-full bg-primary-fixed dark:bg-primary-fixed-dark items-center justify-center overflow-hidden active:opacity-80" + > + 👨‍🌾 + + + {/* Dropdown Modal */} + setIsOpen(false)} + > + setIsOpen(false)} + > + + {/* User Info Section */} + + + {username || 'User'} + + + Farmer Account + + + + {/* Menu Items */} + + + 👤 + + View Profile + + + + + + + 🚪 + + Logout + + + + + + + + ); +}; diff --git a/mobile/components/__tests__/specialized-components.test.tsx b/mobile/components/__tests__/specialized-components.test.tsx deleted file mode 100644 index 1675b86..0000000 --- a/mobile/components/__tests__/specialized-components.test.tsx +++ /dev/null @@ -1,107 +0,0 @@ -import React from 'react'; -import { render } from '@testing-library/react-native'; -import { SensorChip, HealthMeter, StatCard } from '../index'; - -describe('Specialized Components', () => { - describe('SensorChip', () => { - it('renders with soil type', () => { - const { getByText } = render( - - ); - expect(getByText('pH: 6.5')).toBeTruthy(); - }); - - it('renders with weather type', () => { - const { getByText } = render( - - ); - expect(getByText('Temp: 25°C')).toBeTruthy(); - }); - - it('renders with nutrient type', () => { - const { getByText } = render( - - ); - expect(getByText('Nitrogen: 45 mg/kg')).toBeTruthy(); - }); - }); - - describe('HealthMeter', () => { - it('renders with pH scale values', () => { - const { getByText } = render( - - ); - expect(getByText('pH Level')).toBeTruthy(); - expect(getByText('6.5')).toBeTruthy(); - expect(getByText('Optimal: 6-7.5')).toBeTruthy(); - }); - - it('renders with custom range', () => { - const { getByText } = render( - - ); - expect(getByText('Humidity')).toBeTruthy(); - expect(getByText('50.0')).toBeTruthy(); - }); - }); - - describe('StatCard', () => { - it('renders with all required elements', () => { - const { getByText } = render( - - ); - expect(getByText('TEMPERATURE')).toBeTruthy(); - expect(getByText('25°C')).toBeTruthy(); - expect(getByText('🌡️')).toBeTruthy(); - }); - - it('renders with trend indicator', () => { - const { getByText } = render( - - ); - expect(getByText('HUMIDITY')).toBeTruthy(); - expect(getByText('65%')).toBeTruthy(); - expect(getByText('+2.1%')).toBeTruthy(); - }); - - it('renders all color variants', () => { - const colors: Array<'orange' | 'blue' | 'green' | 'purple' | 'amber'> = [ - 'orange', - 'blue', - 'green', - 'purple', - 'amber', - ]; - - colors.forEach((color) => { - const { getByText } = render( - - ); - expect(getByText('TEST')).toBeTruthy(); - }); - }); - }); -}); diff --git a/mobile/components/index.ts b/mobile/components/index.ts index b0b0c11..b175fb3 100644 --- a/mobile/components/index.ts +++ b/mobile/components/index.ts @@ -4,3 +4,5 @@ export { Card, type CardProps } from './Card'; export { SensorChip, type SensorChipProps } from './SensorChip'; export { HealthMeter, type HealthMeterProps } from './HealthMeter'; export { StatCard, type StatCardProps } from './StatCard'; +export { BottomNavigation, type BottomNavigationProps } from './BottomNavigation'; +export { ProfileDropdown, type ProfileDropdownProps } from './ProfileDropdown'; diff --git a/mobile/jest.config.js b/mobile/jest.config.js new file mode 100644 index 0000000..6443eba --- /dev/null +++ b/mobile/jest.config.js @@ -0,0 +1,40 @@ +/** + * Mobile-local Jest config — uses jest-expo and local setup + */ +module.exports = { + preset: 'jest-expo', + testMatch: ['/../tests/**/*.test.(ts|tsx|js|jsx)'], + transform: { + '^.+\\.(js|jsx|ts|tsx)$': 'babel-jest', + }, + moduleFileExtensions: ['ts', 'tsx', 'js', 'jsx', 'json', 'node'], + transformIgnorePatterns: [ + 'node_modules/(?!(react-native|@react-native|@react-navigation|expo|nativewind|@react-navigation)/)' + ], + setupFilesAfterEnv: ['/jest.setup.js'], + testEnvironment: 'jsdom', +}; +/** + * Mobile-local Jest config — uses jest-expo so preset resolves from mobile/node_modules + */ +module.exports = { + rootDir: '.', + preset: 'jest-expo', + testMatch: ['/../tests/mobile/**/*.test.(ts|tsx|js|jsx)'], + transform: { + '^.+\\.(js|jsx|ts|tsx)$': 'babel-jest', + }, + moduleFileExtensions: ['ts', 'tsx', 'js', 'jsx', 'json', 'node'], + transformIgnorePatterns: [ + 'node_modules/(?!(react-native|@react-native|@react-navigation|expo|nativewind|@react-navigation)/)' + ], + setupFilesAfterEnv: ['/jest.setup.js'], +}; +module.exports = { + preset: "jest-expo", + testEnvironment: "node", + testPathIgnorePatterns: ["/node_modules/", "/dist/"], + transformIgnorePatterns: [ + "node_modules/(?!(react-native|@react-native|@react-navigation|nativewind)/)", + ], +}; diff --git a/mobile/jest.setup.js b/mobile/jest.setup.js new file mode 100644 index 0000000..8bfdcc5 --- /dev/null +++ b/mobile/jest.setup.js @@ -0,0 +1,35 @@ +// Jest setup for mobile tests +require('@testing-library/jest-native/extend-expect'); + +// Silence native animated helper warnings +try { + jest.mock('react-native/Libraries/Animated/NativeAnimatedHelper'); +} catch (e) {} + +// Basic mocks for common native modules used in tests +try { + jest.mock('expo-constants', () => ({ + manifest: {}, + })); +} catch (e) {} +// Basic Jest setup for React Native testing +require('@testing-library/jest-native/extend-expect'); + +// Silence the warning: Animated: `useNativeDriver` is not supported +try { + jest.mock('react-native/Libraries/Animated/NativeAnimatedHelper'); +} catch (e) { + // ignore when not running in jest environment during other tooling +} + +// Mock react-native-reanimated if present (common in RN projects) +try { + jest.mock('react-native-reanimated', () => { + const Reanimated = require('react-native-reanimated/mock'); + // Reanimated mock may not include all exports; ensure defaults + Reanimated.default = Reanimated; + return Reanimated; + }); +} catch (e) { + // no-op +} diff --git a/mobile/lib/api.ts b/mobile/lib/api.ts index 390b8d5..d4135e2 100644 --- a/mobile/lib/api.ts +++ b/mobile/lib/api.ts @@ -187,7 +187,7 @@ async function request( await store.logout(); const symptom = new Error("Session expired. Please log in again."); (symptom as unknown as Record).cause = refreshErr; - // eslint-disable-next-line preserve-caught-error, sonarjs/preserve-caught-error + // eslint-disable-next-line sonarjs/preserve-caught-error throw symptom; } } @@ -260,7 +260,7 @@ async function request( "Offline — request queued and will be sent when online.", ); (symptom as unknown as Record).cause = err; - // eslint-disable-next-line preserve-caught-error, sonarjs/preserve-caught-error + // eslint-disable-next-line sonarjs/preserve-caught-error throw symptom; } } @@ -288,7 +288,7 @@ async function request( { const symptom = new Error(String(err)); (symptom as unknown as Record).cause = err; - // eslint-disable-next-line preserve-caught-error, sonarjs/preserve-caught-error + // eslint-disable-next-line sonarjs/preserve-caught-error throw symptom; } } @@ -308,6 +308,11 @@ export const api = { method: "POST", body: JSON.stringify(body), }), + getGuestToken: () => + request<{ access_token: string; expires_in: number; token_type: string; user_type: string }>( + "/api/v1/auth/guest", + { method: "POST" }, + ), latestSensor: (token: string) => request("/api/v1/sensor/latest", {}, token), sensorHistory: (token: string, page: number, perPage: number) => @@ -325,7 +330,7 @@ export const api = { // Guest/anonymous prediction API (no auth token required) guestPredictCrop: (body: object) => request( - "/api/v1/predict/crop", + "/api/v1/guest/predict/crop", { method: "POST", body: JSON.stringify(body) }, undefined, ), @@ -335,12 +340,24 @@ export const api = { { method: "POST", body: JSON.stringify(body) }, token, ), + guestPredictFertilizer: (body: object) => + request( + "/api/v1/guest/predict/fertilizer", + { method: "POST", body: JSON.stringify(body) }, + undefined, + ), predictSuitability: (token: string, body: object) => request( "/api/v1/predict/suitability", { method: "POST", body: JSON.stringify(body) }, token, ), + guestPredictSuitability: (body: object) => + request( + "/api/v1/guest/predict/suitability", + { method: "POST", body: JSON.stringify(body) }, + undefined, + ), logout: (refreshToken: string) => request( "/api/v1/auth/logout", diff --git a/mobile/package-lock.json b/mobile/package-lock.json index 42809d6..4715c24 100644 --- a/mobile/package-lock.json +++ b/mobile/package-lock.json @@ -35,11 +35,17 @@ }, "devDependencies": { "@eslint/js": "^10.0.1", + "@testing-library/react-native": "13.3.3", + "@types/jest": "30.0.0", "@types/react": "~19.2.2", + "babel-jest": "30.3.0", "babel-preset-expo": "^55.0.12", "eslint": "^10.1.0", "globals": "^17.4.0", + "jest": "30.3.0", + "jest-expo": "55.0.11", "jiti": "^2.6.1", + "react-test-renderer": "19.2.4", "tailwindcss": "^3.4.19", "typescript": "~5.9.2", "typescript-eslint": "^8.57.2" @@ -1449,6 +1455,13 @@ "node": ">=6.9.0" } }, + "node_modules/@bcoe/v8-coverage": { + "version": "0.2.3", + "resolved": "https://registry.npmjs.org/@bcoe/v8-coverage/-/v8-coverage-0.2.3.tgz", + "integrity": 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}, "node_modules/xml2js": { "version": "0.6.0", "resolved": "https://registry.npmjs.org/xml2js/-/xml2js-0.6.0.tgz", @@ -10652,6 +17430,13 @@ "node": ">=8.0" } }, + "node_modules/xmlchars": { + "version": "2.2.0", + "resolved": "https://registry.npmjs.org/xmlchars/-/xmlchars-2.2.0.tgz", + "integrity": "sha512-JZnDKK8B0RCDw84FNdDAIpZK+JuJw+s7Lz8nksI7SIuU3UXJJslUthsi+uWBUYOwPFwW7W7PRLRfUKpxjtjFCw==", + "dev": true, + "license": "MIT" + }, "node_modules/y18n": { "version": "5.0.8", "resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz", diff --git a/mobile/package.json b/mobile/package.json index fd96db6..591d2d3 100644 --- a/mobile/package.json +++ b/mobile/package.json @@ -4,13 +4,19 @@ "main": "index.ts", "scripts": { "start": "expo start", + "test": "jest --passWithNoTests", "android": "expo start --android", "ios": "expo start --ios", "web": "expo start --web" }, "dependencies": { - "@expo-google-fonts/inter": "^0.4.2", + "@eslint/js": "^10.0.1", "@expo-google-fonts/manrope": "^0.4.2", + "@testing-library/react-native": "^12.2.0", + "babel-jest": "^29.7.0", + "jest": "^29.7.0", + "jest-expo": "^48.0.0", + "react-test-renderer": "19.2.0", "@react-native-async-storage/async-storage": "2.2.0", "@react-native-community/netinfo": "11.5.2", "@react-navigation/native": "^7.2.1", @@ -36,11 +42,17 @@ }, "devDependencies": { "@eslint/js": "^10.0.1", + "@testing-library/react-native": "13.3.3", + "@types/jest": "30.0.0", "@types/react": "~19.2.2", + "babel-jest": "30.3.0", "babel-preset-expo": "^55.0.12", "eslint": "^10.1.0", "globals": "^17.4.0", + "jest": "30.3.0", + "jest-expo": "55.0.11", "jiti": "^2.6.1", + "react-test-renderer": "19.2.4", "tailwindcss": "^3.4.19", "typescript": "~5.9.2", "typescript-eslint": "^8.57.2" diff --git a/mobile/store/authStore.ts b/mobile/store/authStore.ts index 2be625d..30e07b7 100644 --- a/mobile/store/authStore.ts +++ b/mobile/store/authStore.ts @@ -32,11 +32,13 @@ interface AuthState { username: string | null; deviceId: string | null; accessExpiry?: number | null; + isGuest: boolean; login: ( tokens: { accessToken: string; refreshToken: string }, user: { username: string; deviceId: string }, ) => Promise; + loginAsGuest: () => Promise; logout: () => Promise; setAccessToken: (token: string) => void; loadFromStorage: () => Promise; @@ -47,12 +49,14 @@ export const useAuthStore = create((set) => ({ refreshToken: null, username: null, deviceId: null, + isGuest: false, login: async ({ accessToken, refreshToken }, { username, deviceId }) => { await storage.setItem("access_token", accessToken); await storage.setItem("refresh_token", refreshToken); await storage.setItem("username", username); await storage.setItem("device_id", deviceId); + await storage.removeItem("is_guest"); // Try to parse expiry from JWT (exp claim) let accessExpiry: number | null = null; try { @@ -78,7 +82,37 @@ export const useAuthStore = create((set) => ({ if (accessExpiry) await storage.setItem("access_expiry", String(accessExpiry)); await storage.setItem("access_token", accessToken); - set({ accessToken, refreshToken, username, deviceId, accessExpiry }); + set({ accessToken, refreshToken, username, deviceId, accessExpiry, isGuest: false }); + }, + + loginAsGuest: async () => { + try { + const response = await api.getGuestToken(); + + // Calculate expiry + const accessExpiry = Date.now() + (response.expires_in * 1000); + + // Update state FIRST (synchronous) + set({ + accessToken: response.access_token, + refreshToken: null, + username: "guest", + deviceId: null, + accessExpiry, + isGuest: true + }); + + // Then persist to storage (async, but state is already updated) + await storage.setItem("access_token", response.access_token); + await storage.setItem("is_guest", "true"); + await storage.setItem("username", "guest"); + await storage.setItem("access_expiry", String(accessExpiry)); + await storage.removeItem("refresh_token"); + await storage.removeItem("device_id"); + } catch (err) { + console.error("Failed to get guest token", err); + throw err; + } }, logout: async () => { @@ -96,12 +130,14 @@ export const useAuthStore = create((set) => ({ await storage.removeItem("username"); await storage.removeItem("device_id"); await storage.removeItem("access_expiry"); + await storage.removeItem("is_guest"); set({ accessToken: null, refreshToken: null, username: null, deviceId: null, accessExpiry: null, + isGuest: false, }); }, @@ -113,9 +149,12 @@ export const useAuthStore = create((set) => ({ const username = await storage.getItem("username"); const deviceId = await storage.getItem("device_id"); const accessExpiryRaw = await storage.getItem("access_expiry"); + const isGuestRaw = await storage.getItem("is_guest"); const accessExpiry = accessExpiryRaw ? Number(accessExpiryRaw) : null; + const isGuest = isGuestRaw === "true"; + if (accessToken) { - set({ accessToken, refreshToken, username, deviceId, accessExpiry }); + set({ accessToken, refreshToken, username, deviceId, accessExpiry, isGuest }); } }, })); diff --git a/mobile/store/predictionStore.ts b/mobile/store/predictionStore.ts new file mode 100644 index 0000000..9da90e2 --- /dev/null +++ b/mobile/store/predictionStore.ts @@ -0,0 +1,50 @@ +import { create } from 'zustand' + +interface CropResult { + recommended_crop: string + confidence: number +} + +interface SuitabilityTableRow { + parameter: string + recommended: number + observed: number + status: string +} + +interface SuitabilityResult { + crop: string + suitability_score: number + table: SuitabilityTableRow[] +} + +interface FertilizerResult { + fertilizer: string + composition: string + application: string + nitrogen_advice?: string + phosphorus_advice?: string + potassium_advice?: string +} + +export type PredictResult = CropResult | SuitabilityResult | FertilizerResult | null + +export type PredictionMode = 'crop' | 'suitability' | 'fertilizer' + +interface PredictionState { + result: PredictResult + mode: PredictionMode + source: 'sensor' | 'manual' + + setResult: (result: PredictResult, mode: PredictionMode, source: 'sensor' | 'manual') => void + clearResult: () => void +} + +export const usePredictionStore = create((set) => ({ + result: null, + mode: 'crop', + source: 'sensor', + + setResult: (result, mode, source) => set({ result, mode, source }), + clearResult: () => set({ result: null }), +})) diff --git a/stitch/dashboard/code.html b/stitch/dashboard/code.html deleted file mode 100644 index 449e7e7..0000000 --- a/stitch/dashboard/code.html +++ /dev/null @@ -1,270 +0,0 @@ - - - - - -TerraDetect Dashboard - - - - - - - - - - - - -
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TerraDetect

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Good morning,
Farmer John!

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Your crops are thriving today. Here's your real-time soil health overview.

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North Sector Beta

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Last scan: 2 minutes ago

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Soil pH Level

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6.5

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Temperature

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24°C

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Humidity

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65%

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Nitrogen (N)

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45mg/kg

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Phosphorus (P)

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30mg/kg

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Potassium (K)

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120mg/kg

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Hydration Forecast

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Predictive Action

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Nitrogen levels are peaking. Delay fertilization for 48 hours to prevent runoff.

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Systems Online.

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Welcome back, Commander. All terrestrial sensors are broadcasting within optimal parameters across Zone A-14.

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Last update: 2 minutes ago

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Temperature

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Humidity

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62

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Soil pH

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Nutrient Levels (NPK)

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Predictive Insight

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Based on current NPK and humidity trends, irrigation is recommended for Section A-14 in the next 12 hours to maintain yield potential.

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System Events

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Sensor Node 08 Calibrated

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08:42 AM • Maintenance

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Soil Moisture Threshold Met

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06:15 AM • Automated

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Low Power Alert: Node 12

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04:30 AM • System

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Environmental Log

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Field History

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- Optimal conditions sustained for 84% of the week. Soil hydration levels are increasing. -

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Recent Records

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Oct 24, 2023

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08:45 AM — Section A

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Oct 23, 2023

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04:20 PM — Section B

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Oct 22, 2023

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09:10 AM — Section A

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Oct 21, 2023

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11:30 AM — Section C

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TerraDetect

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Environmental Timeline

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A comprehensive historical record of ecological sensor data across the terrestrial network.

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Soil Hydration Shift

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Sensor Hub Alpha-09 • Forest Bed

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Peak Photometry

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Canopy Array 04 • Upper Tier

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Thermal Threshold Exceeded

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Perimeter Node B • Dry Zone

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Micro-Seismic Vibration

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Station Sigma recorded a sequence of low-frequency oscillations consistent with tectonic settling.

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-The Future of Agronomy -

- Cultivate with Precision Data. -

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- Real-time soil monitoring and AI-powered crop recommendations. We bridge the gap between biological intuition and digital intelligence. -

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Soil Moisture

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64.2%

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Ecosystem Intelligence

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Beyond the surface. We provide the granular insights needed for sustainable, high-yield agriculture.

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Soil Health Monitoring

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- Deploy our proprietary sensor network to track nitrogen, phosphorus, potassium, and pH levels in real-time across your entire acreage. -

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Predictive Analytics

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- Our AI models process multi-decade weather patterns and local sensor data to forecast yield outcomes with 94% accuracy. -

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Forecast Confidence

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High

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Crop Suitability

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Adaptive logic that suggests the optimal crop rotation based on current soil depletion and market demand.

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Built for Resilience.

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Helping farmers navigate climate variability with science-backed decisions.

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Dr. Elena Thorne

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Lead Research Scientist, BioField

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Ready to grow smarter?

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Join 2,500+ agricultural innovators using TerraDetect to optimize soil health and maximize harvest yields.

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- The Future of Earth
Measured in Real-Time. -

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- Real-time soil monitoring and AI-powered crop recommendations. Precision data for the modern observatory of the land. -

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Soil Composition Flux

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Live telemetry from Sector 04-G

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Moisture

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64.2%

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12.8 ppm

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6.8

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AI Yield Prediction

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Processing 4.2TB of multi-spectral imagery

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+18.4%

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Estimated Improvement

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Active Nodes

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Central Valley Cluster

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AI Strategy Recommendations

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Ready to optimize your harvest?

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Join over 1,400 precision farmers using TerraDetect to increase yields and reduce environmental impact through real-time science.

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TerraDetect

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Precision agronomy at your fingertips.

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Found on the back of your TerraDetect sensor.

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New to the field? Start your journey today.

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AI Predictions

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Harnessing machine learning for precision agronomy.

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Rice

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Soil Prep
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- Apply 10kg Nitrogen per hectare to stabilize baseline pH before the next planting cycle. -

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- Current rainfall patterns suggest a 15% increase in drip irrigation frequency for optimal yield. -

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Environmental Synergy
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Your soil NPK levels are in perfect alignment with the upcoming seasonal rainfall forecast.

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Predictive Analysis

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Harness satellite data and ground sensors to forecast agricultural outcomes with high-precision neural modeling.

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Soil Composition

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Live Sensor Sync

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Data synced 2 minutes ago from Node #842

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Oryza Sativa

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Standard Highland Rice Variety

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Water Requirement

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High Demand

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Predicted consumption: 450mm / cycle

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115 - 130 Days

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Target window: Late September

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Moderate suitability for current pH

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82%

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Low nitrogen requirement match

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Begin Your Harvest

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Join the network of modern cultivators and start monitoring your soil vitality today.

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-V-4.0 ENTERPRISE -
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-abstract topographic map lines on dark navy background minimalist digital terrain grid green and blue accents editorial tech style -
- \ No newline at end of file diff --git a/stitch/registration_screen_dark/screen.png b/stitch/registration_screen_dark/screen.png deleted file mode 100644 index 77bbcd2..0000000 Binary files a/stitch/registration_screen_dark/screen.png and /dev/null differ diff --git a/stitch/verdant_core/DESIGN.md b/stitch/verdant_core/DESIGN.md deleted file mode 100644 index bcd93d0..0000000 --- a/stitch/verdant_core/DESIGN.md +++ /dev/null @@ -1,73 +0,0 @@ -# Design System Specification: Editorial Agronomy - -## 1. Overview & Creative North Star -The "Digital Cultivator" is the Creative North Star for this design system. We are moving away from the "utilitarian spreadsheet" look of traditional AgTech. Instead, we treat soil data and crop health with the reverence of a high-end editorial magazine. - -By leveraging **Organic Brutalism**, we combine the precision of data with the soft, fluid nature of the environment. We break the standard mobile "template" by using intentional asymmetry—where images might bleed off the edge of a card—and high-contrast typography scales that make headlines feel like a statement of authority. The result is a system that feels premium, trustworthy, and deeply connected to the earth. - -## 2. Colors & Surface Architecture -Color is not just for branding; it is for environmental storytelling. We use a palette that mirrors the vitality of a healthy crop cycle. - -### The Palette -* **Primary (The Growth Core):** `primary` (#006b2c) and `primary_container` (#00873a). Use these for high-intent actions and to signify healthy data states. -* **Secondary & Tertiary (Data Spectrum):** `secondary` (#006398) for hydration/water and `tertiary` (#825100) for soil/pH levels. -* **Neutrals (The Canvas):** `surface` (#f8f9fa) and `on_surface` (#191c1d). - -### The "No-Line" Rule -**Strict Mandate:** Designers are prohibited from using 1px solid borders to section content. Boundaries must be defined solely through background color shifts. To separate a card from the background, use `surface_container_low` sitting on a `surface` background. - -### Surface Hierarchy & Nesting -Treat the UI as a series of physical layers. -1. **Base:** `surface` (The field). -2. **Sectioning:** `surface_container` (The plot). -3. **Interaction:** `surface_container_lowest` (The focal point/card). -Nesting these tiers creates depth without the visual "noise" of lines. - -### Signature Textures & Glass -* **The Signature Gradient:** For main CTAs, use a linear gradient from `primary` to `primary_container` at a 135° angle. This adds "visual soul" and depth. -* **Glassmorphism:** Floating action buttons or navigation overlays must use `surface` with 80% opacity and a `backdrop-blur` of 12px. This ensures the UI feels integrated with the data flowing beneath it. - -## 3. Typography: The Editorial Voice -We use a dual-typeface system to balance technical precision with human warmth. - -* **Display & Headlines (Manrope):** Use `display-lg` to `headline-sm` for data summaries and section headers. Manrope’s geometric yet open nature feels modern and authoritative. -* **Body & Labels (Inter):** Use `body-lg` to `label-sm` for all reading utility. Inter is optimized for legibility in the field under high-glare conditions. -* **Editorial Hierarchy:** Always lead with a strong `headline-md`. Ensure there is a significant "jump" between headlines and body text to create a clear visual path for the user’s eye. - -## 4. Elevation & Depth: Tonal Layering -Traditional drop shadows are too "digital." We use **Tonal Layering** to mimic natural light hitting a matte surface. - -* **The Layering Principle:** Place a `surface_container_lowest` card on a `surface_container_low` background. This creates a soft, natural "lift" through color value alone. -* **Ambient Shadows:** For elements that truly float (like Modals), use a shadow with a blur of `32px`, an offset of `y: 8`, and the color `on_surface` at only **4% opacity**. It should feel like a whisper, not a smudge. -* **The "Ghost Border" Fallback:** If a border is required for accessibility, use the `outline_variant` token at **15% opacity**. Never use 100% opaque borders. - -## 5. Component Logic - -### Buttons (The Tactile Root) -* **Primary:** Rounded at `md` (1.5rem) or `full` (9999px). Uses the Signature Gradient. -* **Secondary:** No background. Use a `title-sm` font weight with `primary` color. -* **States:** On press, transition to `primary_fixed_dim`. - -### Input Fields (The Data Portal) -* **Styling:** Forgo the box. Use a `surface_container_high` background with a `full` radius. -* **Labels:** Always use `label-md` in `on_surface_variant`, floating 8px above the input. - -### Cards & Lists (The Plot View) -* **No Dividers:** Forbid the use of divider lines. Separate list items using `8px` (spacing-2) of vertical white space or by alternating between `surface` and `surface_container_low`. -* **Asymmetry:** In cards, icons (leaf, water drop) should be oversized and slightly cropped by the card edge to create a custom, high-end feel. - -### Specialized Ag-Components -* **Sensor Chips:** Small, rounded `sm` (0.5rem) containers using `secondary_container` or `tertiary_container` to categorize soil vs. weather data. -* **The "Health Meter":** A custom progress bar using a gradient transition from `error` to `primary` to visualize soil health. - -## 6. Do’s and Don’ts - -### Do -* **Do** use extreme white space. If you think it's enough, add 8px more. -* **Do** use `primary_fixed` for background accents to highlight positive data trends. -* **Do** ensure all icons are a minimum of 24x24px for easy "gloved-hand" interaction. - -### Don't -* **Don't** use pure black (#000). Use `on_surface` (#191c1d) to maintain a premium, soft-contrast look. -* **Don't** use standard Material shadows. They are too heavy for this "light-as-air" system. -* **Don't** cram multiple data points into one card. Break them into a horizontally scrolling carousel of `surface_container_lowest` cards. \ No newline at end of file diff --git a/stitch/verdant_nocturne/DESIGN.md b/stitch/verdant_nocturne/DESIGN.md deleted file mode 100644 index f473f70..0000000 --- a/stitch/verdant_nocturne/DESIGN.md +++ /dev/null @@ -1,84 +0,0 @@ -# Design System Specification: Dark Mode & High-End Editorial - -## 1. Overview & Creative North Star: "The Midnight Observatory" -This design system moves away from the "SaaS-standard" look toward a high-end, editorial aesthetic titled **The Midnight Observatory**. The goal is to create an environment that feels like a premium, nocturnal data center—sophisticated, deep, and quiet. - -We break the "template" look through **intentional asymmetry** and **tonal depth**. Instead of rigid, boxed-in grids, we use expansive breathing room and layered surfaces. This is not just a "dark mode"; it is a cinematic experience where data points emerge from the shadows like stars in a night sky. - ---- - -## 2. Color & Atmospheric Layering -The palette is rooted in deep slates (`#0c1324`) and vibrant, bio-luminescent greens. We prioritize optical comfort in low-light environments. - -### The "No-Line" Rule -**Prohibit 1px solid borders for sectioning.** Boundaries must be defined solely through background color shifts. For example, a `surface_container_low` section sitting on a `surface` background creates a clean, sophisticated break without the visual clutter of a line. - -### Surface Hierarchy & Nesting -Treat the UI as a series of physical layers—like stacked sheets of smoked glass. -- **Base Layer:** `surface` (`#0c1324`) -- **Inset Layer:** `surface_container_lowest` (`#070d1f`) for recessed areas like search bars. -- **Card/Content Layer:** `surface_container` (`#191f31`) for standard content blocks. -- **Floating Layer:** `surface_bright` (`#33394c`) for elements requiring immediate attention. - -### The Glass & Gradient Rule -Floating elements (modals, popovers) must use **Glassmorphism**. Apply `surface_variant` at 60% opacity with a `20px` backdrop-blur. -- **Signature Texture:** Use a subtle linear gradient on primary CTAs transitioning from `primary` (`#62df7d`) to `primary_container` (`#1ca64d`) at a 135° angle. This adds a "jewel-toned" depth that flat colors lack. - ---- - -## 3. Typography: Editorial Authority -We pair the technical precision of **Inter** with the architectural character of **Space Grotesk**. - -* **Display & Headlines (Space Grotesk):** These are your "Hero" moments. Use `display-lg` (3.5rem) with tighter letter-spacing (-0.02em) to create an authoritative, editorial feel. -* **Body & Labels (Inter):** High-readability sans-serif. In dark mode, ensure `body-md` uses `on_surface_variant` (`#bdcaba`) for secondary text to reduce eye strain from pure white-on-black contrast. -* **The Contrast Rule:** Use `primary` (`#62df7d`) sparingly for text—only for high-priority labels or active states to maintain the premium, "low-noise" atmosphere. - ---- - -## 4. Elevation & Depth: Tonal Layering -Traditional shadows are too heavy for this aesthetic. We achieve lift through light, not shadow. - -* **The Layering Principle:** Stack `surface_container_low` on top of `surface_container_lowest` to create a soft, natural lift. -* **Ambient Shadows:** If a floating effect is required (e.g., a hovering card), use a diffuse shadow: `0 20px 40px rgba(7, 13, 31, 0.5)`. The shadow color must be a darker version of the background, never a neutral gray. -* **The "Ghost Border" Fallback:** If accessibility requires a stroke, use `outline_variant` at 15% opacity. **Never use 100% opaque borders.** -* **Glassmorphism:** For tooltips and menus, use `surface_container_highest` with a `blur(12px)` and a `0.5px` stroke of `outline` at 10% opacity to simulate the edge of a glass pane. - ---- - -## 5. Components & Interaction - -### Cards & Lists -* **No Dividers:** Forbid the use of horizontal lines. Use the **Spacing Scale** (specifically `spacing.8` or `spacing.12`) to create "Active Negative Space." -* **Card Styling:** Apply `roundedness.xl` (0.75rem). Cards should use `surface_container` on a `surface` background. - -### Data Visualization (Optimized for Dark Mode) -* **Primary Data:** `primary` (#62df7d) -* **Secondary Data (Blue):** `secondary` (#7bd0ff) -* **Tertiary Data (Orange/Gold):** `tertiary` (#ffb95f) -* **Alerts/Errors:** `error` (#ffb4ab) -* *Note: Use 70% opacity for grid lines in charts to keep the focus on the data glow.* - -### Buttons -* **Primary:** Gradient fill (Primary to Primary Container), `roundedness.full`, white text (`on_primary`). -* **Secondary:** `surface_container_highest` fill with `primary` text. No border. -* **Tertiary/Ghost:** No background. `on_surface` text with an icon. - -### Inputs -* Use `surface_container_lowest` for the field background to create an "etched into the interface" look. -* Active state: A `1px` "Ghost Border" using `primary` at 40% opacity. - ---- - -## 6. Do’s and Don’ts - -### Do: -* **Do** use asymmetrical layouts (e.g., a left-aligned headline with a right-shifted data visualization). -* **Do** leverage the `surface_container` tiers to create hierarchy. -* **Do** use `spaceGrotesk` for all numerical data to emphasize the "Observatory" theme. -* **Do** ensure a minimum contrast ratio of 4.5:1 for all functional text. - -### Don’t: -* **Don’t** use `#000000` for backgrounds; it kills the sense of depth. Use `surface` (`#0c1324`). -* **Don’t** use 1px dividers or "boxes within boxes." -* **Don’t** use standard drop shadows. If it doesn't look like light or glass, rethink it. -* **Don’t** crowd the interface. If in doubt, add `spacing.12` of padding. \ No newline at end of file