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Welcome to the super-octo-computing-se project! This is a framework for building a powerful search engine that combines a custom web crawler with a meta-search aggregator. The project is designed to provide comprehensive, high-quality search results by leveraging both its own indexed data and results from other search providers.

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indivisiblefoundation/super-octo-computing-se

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super-octo-computing-se

Project Overview

Welcome to the Meta-Spider Search Engine project! This is a framework for building a powerful search engine that combines a custom web crawler with a meta-search aggregator. The project is designed to provide comprehensive, high-quality search results by leveraging both its own indexed data and results from other search providers.

Core Components

  • Web Crawler (Spider): Systematically crawls the web to build a proprietary index of web pages. It respects robots.txt rules and is designed for scalability and efficiency.
  • Indexer: Processes the raw data extracted by the spider, creating a structured, inverted index for fast and relevant search queries.
  • Meta-Search Aggregator: Queries multiple search engines (including our own index) and intelligently merges and ranks the results to provide the best possible output.
  • Search Interface: A user-friendly web interface for performing searches and viewing the aggregated results.

Getting Started

Follow these instructions to get the project up and running on your local machine for development and testing purposes.

Prerequisites

  • Python (version X.X)
  • Docker and Docker Compose (recommended)
  • [List any other required software, e.g., Elasticsearch or specific libraries]

Installation

  1. Clone the repository:

    git clone https://github.com/indivisiblefoundation/super-octo-computing-se.git
    cd super-octo-computing-se
  2. Set up environment variables: Copy the example environment file and fill in your details, such as API keys for third-party search engines. create the virtual environment. Execute the following command to create a new virtual environment. Replace myenv with your desired name for the environment (e.g., venv, env).

    python3 -m venv myenv

    This command creates a new directory (e.g., myenv) within your project, containing an isolated Python installation and its own pip for managing packages specific to this environment. activate the virtual environment. To start using the newly created virtual environment, activate it using the source command:

    Code: source myenv/bin/activate

    Upon successful activation, your shell prompt will typically change to include the name of your virtual environment (e.g., (myenv) user@hostname:~/project$), indicating that you are now working within the isolated environment. install packages.

  3. Run with Docker Compose (Recommended): The easiest way to start all services is by using Docker Compose.

    docker-compose up --build
  4. Manual Installation (Alternative): [Provide detailed instructions for a manual setup, including virtual environments, library installation (pip install -r requirements.txt), and how to start each service.]

Usage

Starting a Crawl

To start populating your index, you can use the built-in spider.

# Example command
python spider.py --seed-url "https://chosenwebsite.com"

About

Welcome to the super-octo-computing-se project! This is a framework for building a powerful search engine that combines a custom web crawler with a meta-search aggregator. The project is designed to provide comprehensive, high-quality search results by leveraging both its own indexed data and results from other search providers.

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