latz

This is a command line tool used for retrieving images from various image search backends (e.g. Unsplash, Google). This tool is primarily developed for educational purposes to show people how to develop plugin friendly Python applications. Furthermore, it is an example project that shows how to effectively pair a handful of popular Python libraries to write command line applications.

To facilitate our plugin architecture, the pluggy library is used. Other libraries used include the following:

• click: used for structuring the command line application 🖱 💻
• pydantic: used for handling configuration file validation 🗃
• rich: used for UX/UI elements and generally making the application more pretty 🌈

Why "latz"

"latz" is short and easy to type! This is super important when writing CLI programs. I also thought about adding a geolocation search feature, so it is a reference to the word "latitude".

Quick Start

Installation

latz is available for install either on PyPI:

# Run from a new virtual environment
$ pip install latz

or my own anaconda.org channel:

$ conda create -n latz 'thath::latz'

If you are interested in tinkering around with the code yourself, you can also run it locally:

$ git clone git@github.com:/travishathaway/latz.git
$ cd latz
# Create a virtual environment however you like..
$ pip install -e .

Configuring

latz comes initially configured with the "unsplash" image search backend. To use this, you will need to create an Unsplash account and create a test application. After getting your "access_key", you will need to configure it by adding it to your .latz.json config file. An example is show below:

{
  "backend": "unsplash",
  "unsplash_config": {
    "access_key": "your-access-key"
  }
}

This file must be stored in your home directory or your current working directory.

To see other available image search backends, see Available image search backends below.

Usage

coming soon 😉

Available image search backends

coming soon 😉

How to extend and write your own image search backen

coming soon 😉