Company Search Application

Overview

This project is a web application that allows users to search for company information. It integrates MongoDB and Elasticsearch to provide efficient search and suggestion capabilities. Users can type in the search box to get suggestions and view detailed information about companies.

Features

• Search Suggestions: Provides real-time search suggestions as users type in the search box.
• Search Results: Displays a list of matching companies based on the search query.
• Company Details: Shows detailed information about a specific company when selected from the search results.

Prerequisites

• Python: Ensure Python 3.12.1 or later is installed.
• Django: The web framework used for the application.
• Elasticsearch: For full-text search capabilities.
• MongoDB: To store the company data.

Installation

1. Clone the Repository

   git clone https://github.com/sachnaror/company-search.git
   cd company-search
   

2. Install Dependencies

   Install the required Python packages:

   pip install -r requirements.txt
   

   Install Elasticsearch and MongoDB:

   Follow the official installation guides:

   • Elasticsearch
   • MongoDB

3. Set Up the Database

   • Import the company data into MongoDB:

     mongoimport --db companyDB --collection companies --file /path/to/CompanyExtracted.json --jsonArray
     

4. Run Elasticsearch

   Ensure Elasticsearch is running on http://localhost:9200.

5. Run Migrations

   Apply Django migrations:

   python manage.py migrate
   

6. Start the Django Development Server

   python manage.py runserver
   

   Visit http://localhost:8000 in your web browser.

Code Overview

• views.py: Contains the view functions for handling search and suggestions.
• index.html: The main page where users can input search queries and view search results.
• search_results.html: Displays the results of the search query.
• company_detail.html: Shows detailed information about a specific company.

View Functions

• index(request): Renders the main search page.
• search(request): Handles search requests and displays results.
• company_detail(request, registration_number): Displays detailed information for a specific company.
• search_suggestions(request): Provides real-time search suggestions based on user input.

Elasticsearch Integration

• Index Name: company_index
• Mapping: Ensure the index mapping is set up to match the fields from MongoDB.

Troubleshooting

• 404 Errors: Ensure that the URL patterns in urls.py are correctly configured and that the search_suggestions view is properly implemented.
• JSON Parsing Errors: Verify that the JSON data in the CompanyExtracted.json file is correctly formatted and matches the expected schema.

Contact

For any questions or issues, please contact Sachin.