Zillow

Introduction

Welcome to the Zillow Imitation Project. This repository houses a Spring Cloud-based house rental application that closely imitates the functionalities and design of Zillow. This project serves as a practical exploration of microservices architecture using modern technologies like MongoDB, Redis, Elasticsearch, and RabbitMQ.

Features

• Microservices Architecture: Built with Spring Boot and Spring Cloud for scalable and maintainable service management.
• Property Listings: Users can view a variety of rental properties, each detailed with photos, prices, and descriptions.
• Search Functionality: Robust search capabilities powered by Elasticsearch, allowing filters for location, price range, number of bedrooms, and more.
• Client Portal: A user-friendly interface for tenants and potential renters to browse properties, manage accounts, and interact with property managers.
• Admin Panel: A dedicated platform for administrators to manage property listings, user inquiries, and system settings.
• Data Storage: Uses MongoDB for flexible and efficient data storage solutions.
• Chatbot: An AI-powered assistant for users to get instant help with rental property searches, account management, and general inquiries.

Technologies Used

• Spring Boot: Simplifies the bootstrapping and development of new Spring applications.
• Spring Cloud: Facilitates building robust microservices using patterns like service discovery, configuration management, and routing.
• MongoDB: NoSQL database used for storing application data.
• Redis: In-memory data structure store, used as a database, cache, and message broker.
• Elasticsearch: Search engine based on the Lucene library, perfect for powerful search functionalities.
• RabbitMQ: Advanced message queuing protocol used for handling service-to-service communication.
• Vue.js and Vuetify: Progressive JavaScript framework and material design component framework used for building both the client app and admin panel.
• LangChain: Framework for building applications with LLMs (Large Language Models), enabling intelligent query processing and conversational AI.
• OpenAI API: For natural language processing and chatbot functionality.

Getting Started

Prerequisites

Ensure you have the following installed:

• Java JDK 8
• Maven 3.6.3
• Your preferred IDE (IntelliJ IDEA, Eclipse, etc.)

Installation

Project Installation

1. Clone the repository:

git clone [email protected]:Palpatine0/Zillow.git

2. Navigate to the project directory:

cd Zillow

3. Build the project with Maven:

mvn clean install

Consul Deployment

1. Create container

docker run -d -p 8500:8500 -p 8600:8600/udp --name=dev_zillow_svc_consul consul:1.14.0

Redis Deployment

1. Create container

docker run -d -p 6379:6379 --name dev_zillow_svc_redis redis:7.2-rc2 --requirepass root

MongoDB Deployment

1. Create container

docker run -d -p 27017:27017 --name dev_zillow_svc_mongodb mongo:4.4.19-rc2 --auth

2. Enter MongoDB

docker exec -it dev_zillow_svc_mongodb bash

mongo

3. Set authentication

use admin
db.createUser({ user: "root", pwd: "root", roles: [{ role: "root", db: "admin" }] })
db.auth("root", "root");

Application Ports

Core Services

• Consul server: 8500
• Config server: 3355
• Gateway server: 4006

Microservices

• File: 9000
• Trendy: 9001
• Recommendation: 9002
• Search: 9003
• Item: 9004
• Comment: 9005
• Buy Time: 9006
• User: 9007
• Buy Action: 9008
• Order: 9009
• LLM: 9010

Databases

• MongoDB: 27017
• Redis: 6379

UI

• Client: 3010
• Admin Dashboard: 3011

Contributing

We welcome contributions! Any contributions are greatly appreciated.

To contribute:

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is distributed under the MIT License. See the LICENSE file for more information.

Contact

• Project Link: https://github.com/Palpatine0/Zillow

• Snapchat: emperorsidious0

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Preview

Client

Admin