Skip to main content

A command line tool for quick concept lookups

Project description

LiteLookup 🔎

code coverage badge

LiteLookup is a command-line tool developed in Python that fetches beginner-level information about any concept directly from the command line. This tool is designed for users who want quick, concise, and accessible explanations without leaving their terminal.

Features

  • Command-Line Interface (CLI): Uses argparse to handle user inputs.
  • Error Handling: Validates user input to ensure meaningful queries. Catches special characters and raises appropriate errors.
  • API Integration: Utilizes the Groq LLM API to generate concise explanations of the concepts provided.
  • Caching: Implements Redis for persistent caching of API responses, reducing unnecessary API calls and improving response times.
  • Interactive Shell Session: Launches an intractive shell for faster, continuous lookups after the initial connection establishment. This mode is ideal for making multiple queries in a single session without the overhead of reconnecting for each request.
  • Verbose Mode: Use the -v flag for more detailed explanations, including examples or code snippets when applicable.
  • HTTP/2 Support: Uses httpx with connection pooling and HTTP/2 for efficient API communication.
  • Expandable: Designed to be easily extended with new features and enhancements.

Installation

Prerequisites

  • Python 3.10 or higher
  • Redis server installed and running
  • Groq LLM API access — You will need to store a valid Groq API Key as a secret. You can generate one for free here.

Setup

  1. Install LiteLookup via pip or pipx:

    pip install litelookup or pipx install litelookup

    Check if LiteLookup is correctly installed with lookup --version

  2. Configure the environment variables:

    Enter the API Key from Groq in the prompt from the first usage:

    >>Enter API KEY here: your-api_key here

    Replace "your_api_key_here" with the API key to begin interacting with the tool.

  3. Ensure Redis is running:

    redis-cli ping

    You should get PONG which indicates redis is up and running.

Usage

Basic Usage

To fetch information about a concept, use the following command:

lookup "concept"

For example, lookup "git rebase"

Verbose Mode

For a more detailed response, including examples or code snippets:

`lookup "git rebase" -v'

Programming Mode

lookup "programming concept" -p

For example, lookup "print() in python" -p

Interactive Shell Mode

Enter the interactive mode for continuous lookups without reconnecting:

  • lookup -i

If you wish to generate verbose responses while in the interactive mode, use

  • lookup -i -v or lookup -iv The responses you get with this will be slightly detailed without overwhelming you.

  • lookup -i -p or `lookup -ip The responses you get with this will be more finetuned for programming.

To exit the interactive mode, type:

  • quit or q

Contributing

If you'd like to contribute to LiteLookup, please fork the repository and submit a pull request. For any issues or suggestions, feel free to open an issue on the GitHub repository.

Contact

For any questions or support, please contact Abdulmumin at [lanreywaju97@gmail.com]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

litelookup-0.1.9.tar.gz (10.4 kB view details)

Uploaded Source

Built Distribution

litelookup-0.1.9-py3-none-any.whl (10.3 kB view details)

Uploaded Python 3

File details

Details for the file litelookup-0.1.9.tar.gz.

File metadata

  • Download URL: litelookup-0.1.9.tar.gz
  • Upload date:
  • Size: 10.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.1

File hashes

Hashes for litelookup-0.1.9.tar.gz
Algorithm Hash digest
SHA256 9ec99b32b2659e9e7d44266f6d02fc9209b77191cb966cb4282af26885b499f0
MD5 69a30ce4f34170c12aea47972f1388fb
BLAKE2b-256 069eaec9b673f34734595777fbd513e9cf7a498e9d92c39de46e17cf3f940a7a

See more details on using hashes here.

File details

Details for the file litelookup-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: litelookup-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 10.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.1

File hashes

Hashes for litelookup-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 e2a62197f2b553c19208ba5321157713a23588812eab863f52a429782b28cdde
MD5 815984a8f6071ea505d6e1b09c17e5e8
BLAKE2b-256 46881d5b8e4940e94d0ea24476cb0e43ecef2a60a5b6cf7be12d2e77dc89e125

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page