Merge pull request #3 from ramdafale/master

delete from tennis prediction branch

Author: ramdafale

README.md

@@ -1,251 +1,4 @@
-# 🎾 Tennis Match Prediction Application
+# JavaTraining-Capg
 
-A comprehensive Spring Boot application that provides real-time tennis match predictions using AI algorithms. The application analyzes player statistics, head-to-head records, surface performance, and live match data to predict match winners, current game winners, and current set winners.
-
-## 🚀 Features
-
-### Core Prediction Capabilities
-- **Match Winner Prediction**: Predicts the overall winner of a tennis match
-- **Current Game Winner Prediction**: Predicts who will win the current game
-- **Current Set Winner Prediction**: Predicts who will win the current set
-
-### Advanced Analytics
-- **Player Statistics**: Comprehensive player profiles including rankings, surface performance, and recent form
-- **Head-to-Head Records**: Historical match data between players
-- **Live Match Data**: Real-time statistics and score tracking
-- **Surface Analysis**: Performance analysis on different court surfaces (Hard, Clay, Grass)
-
-### Technical Features
-- **RESTful API**: Complete API for all prediction and data operations
-- **Real-time Updates**: Auto-refreshing dashboard with live match data
-- **Modern UI**: Beautiful, responsive web interface
-- **H2 Database**: In-memory database with sample data
-- **Prediction Accuracy Tracking**: Monitor prediction success rates
-
-## 🛠️ Technology Stack
-
-- **Backend**: Spring Boot 3.2.0
-- **Database**: H2 (In-memory)
-- **Frontend**: Thymeleaf, Bootstrap 5, JavaScript
-- **Build Tool**: Maven
-- **Java Version**: 17
-
-## 📋 Prerequisites
-
-- Java 17 or higher
-- Maven 3.6 or higher
-- Modern web browser
-
-## 🚀 Quick Start
-
-### 1. Clone and Navigate
-```bash
-cd tennis-prediction-app
-```
-
-### 2. Build the Application
-```bash
-mvn clean install
-```
-
-### 3. Run the Application
-```bash
-mvn spring-boot:run
-```
-
-### 4. Access the Application
-Open your browser and navigate to:
-- **Main Dashboard**: http://localhost:8080/tennis-prediction/
-- **H2 Database Console**: http://localhost:8080/tennis-prediction/h2-console
-  - JDBC URL: `jdbc:h2:mem:tennisdb`
-  - Username: `sa`
-  - Password: `password`
-
-## 📊 Sample Data
-
-The application comes pre-loaded with:
-
-### Top 10 ATP Players (2024 Rankings)
-1. Novak Djokovic (Serbia)
-2. Carlos Alcaraz (Spain)
-3. Daniil Medvedev (Russia)
-4. Jannik Sinner (Italy)
-5. Andrey Rublev (Russia)
-6. Stefanos Tsitsipas (Greece)
-7. Alexander Zverev (Germany)
-8. Holger Rune (Denmark)
-9. Hubert Hurkacz (Poland)
-10. Taylor Fritz (USA)
-
-### Sample Matches
-- Live matches with real-time statistics
-- Completed matches with full results
-- Scheduled matches for future predictions
-
-### Head-to-Head Records
-- Historical match data between all players
-- Surface-specific performance records
-- Recent match outcomes
-
-## 🔧 API Endpoints
-
-### Predictions
-- `POST /api/predictions/match-winner/{matchId}` - Predict match winner
-- `POST /api/predictions/game-winner/{matchId}` - Predict current game winner
-- `POST /api/predictions/set-winner/{matchId}` - Predict current set winner
-- `GET /api/predictions/match/{matchId}` - Get all predictions for a match
-- `GET /api/predictions/latest/{matchId}/{predictionType}` - Get latest prediction
-- `GET /api/predictions/accuracy` - Get prediction accuracy statistics
-
-### Matches
-- `GET /api/matches` - Get all matches
-- `GET /api/matches/live` - Get live matches
-- `GET /api/matches/{matchId}` - Get match by ID
-- `GET /api/matches/tournament/{tournamentName}` - Get matches by tournament
-- `GET /api/matches/surface/{surface}` - Get matches by surface
-- `POST /api/matches` - Create new match
-- `PUT /api/matches/{matchId}` - Update match
-
-### Players
-- `GET /api/players` - Get all players
-- `GET /api/players/{playerId}` - Get player by ID
-- `GET /api/players/name/{playerName}` - Get player by name
-- `GET /api/players/top` - Get top ranked players
-- `GET /api/players/country/{country}` - Get players by country
-- `GET /api/players/surface/{surface}` - Get players by surface performance
-- `GET /api/players/search/{namePattern}` - Search players by name
-- `POST /api/players` - Create new player
-- `PUT /api/players/{playerId}` - Update player
-
-### Head-to-Head
-- `GET /api/head-to-head/{player1Id}/{player2Id}` - Get head-to-head record
-- `GET /api/head-to-head/player/{playerId}` - Get player's head-to-head records
-
-### Statistics
-- `GET /api/statistics` - Get application statistics
-
-## 🎯 Prediction Algorithm
-
-The prediction system uses a weighted algorithm that considers:
-
-### Factors and Weights
-- **Player Rankings** (15%): Current ATP rankings
-- **Head-to-Head Records** (20%): Historical performance against opponent
-- **Surface Performance** (15%): Win rates on specific surfaces
-- **Recent Form** (15%): Recent match performance
-- **Live Statistics** (25%): Current match statistics
-- **Match Momentum** (10%): Current match flow and score
-
-### Prediction Types
-1. **Match Winner**: Overall match outcome prediction
-2. **Game Winner**: Current game prediction (focuses on serving and immediate momentum)
-3. **Set Winner**: Current set prediction (considers set score and match momentum)
-
-## 🎨 User Interface
-
-### Dashboard Features
-- **Real-time Statistics**: Live match count, prediction accuracy, player rankings
-- **Live Matches**: Current matches with real-time scores and statistics
-- **Top Players**: Ranked list of top players with performance metrics
-- **Recent Predictions**: Latest predictions with confidence scores and reasoning
-- **Auto-refresh**: Dashboard updates every 30 seconds
-
-### Interactive Elements
-- **Prediction Buttons**: One-click predictions for match, game, and set winners
-- **Confidence Indicators**: Visual confidence levels for predictions
-- **Detailed Reasoning**: Explanation of prediction factors
-- **Responsive Design**: Works on desktop, tablet, and mobile devices
-
-## 🔍 Database Schema
-
-### Entities
-- **Player**: Comprehensive player profiles with statistics
-- **Match**: Live match data and scores
-- **HeadToHead**: Historical match records between players
-- **MatchPrediction**: Prediction results with confidence scores
-
-### Key Relationships
-- Players have multiple matches (as player1 or player2)
-- Matches have multiple predictions (different types)
-- Players have head-to-head records with other players
-
-## 🚀 Deployment
-
-### Local Development
-```bash
-# Run with Maven
-mvn spring-boot:run
-
-# Or build and run JAR
-mvn clean package
-java -jar target/tennis-prediction-app-1.0.0.jar
-```
-
-### Production Deployment
-1. Build the application: `mvn clean package`
-2. Deploy the JAR file to your server
-3. Configure database connection (switch from H2 to production database)
-4. Set up external API keys for live data feeds
-
-## 🔧 Configuration
-
-### Application Properties
-```properties
-# Server Configuration
-server.port=8080
-server.servlet.context-path=/tennis-prediction
-
-# Database Configuration
-spring.datasource.url=jdbc:h2:mem:tennisdb
-spring.datasource.username=sa
-spring.datasource.password=password
-
-# Prediction Settings
-tennis.prediction.model.threshold=0.6
-tennis.prediction.update-interval=30000
-```
-
-## 📈 Future Enhancements
-
-### Planned Features
-- **Machine Learning Integration**: Advanced ML models for better predictions
-- **External API Integration**: Real-time data from FlashScore, ATP, etc.
-- **User Authentication**: User accounts and personalized predictions
-- **Mobile App**: Native mobile application
-- **Advanced Analytics**: Detailed statistical analysis and visualizations
-- **Tournament Brackets**: Tournament prediction and bracket management
-
-### Technical Improvements
-- **Microservices Architecture**: Split into separate services
-- **Real-time WebSocket**: Live updates via WebSocket
-- **Caching Layer**: Redis for improved performance
-- **Containerization**: Docker support for easy deployment
-
-## 🤝 Contributing
-
-1. Fork the repository
-2. Create a feature branch
-3. Make your changes
-4. Add tests for new functionality
-5. Submit a pull request
-
-## 📝 License
-
-This project is licensed under the MIT License - see the LICENSE file for details.
-
-## 🆘 Support
-
-For support and questions:
-- Create an issue in the repository
-- Check the API documentation
-- Review the sample data and configurations
-
-## 🎯 Quick Test
-
-1. Start the application
-2. Navigate to http://localhost:8080/tennis-prediction/
-3. View the live matches
-4. Click "Predict Winner" on any live match
-5. See the prediction with confidence score and reasoning
-
-The application is ready to use immediately with sample data and working predictions!
+this repo contains all practices related to basic java and advanced java. 
+covering spring , servlet , junit , logger,PMD etc