lithopscloud 1.0.0b78

Interactive tool for generation of lithops configuration

Tool to generate Lithops configuration file

Lithopscloud is a CLI tool that greatly simplifies user experience by generating Lithops and Ray configuration files.

Setup

Install lithopscloud from pip repository

pip install lithopscloud

Usage

Use the configuration tool as follows

lithopscloud [--iam-api-key IAM_API_KEY] [-i INPUT_FILE] [-o OUTPUT_PATH] [--verify_config CONFIG_FILE_PATH] [--version]

Get a short description of the available flags via lithopscloud --help

Flags Detailed Description

Key	Default	Mandatory	Additional info
iam-api-key		yes	IBM Cloud API key. To generate a new API Key, adhere to the following guide
input-file	<compute_backend>/defaults.py	no	Existing config file to be used as a template in the configuration process
output-path	A randomly generated path to a randomly named yaml file	no	A custom location the config file will be written to
verify-config		no	Verifies the integrity of an existing config file and outputs a usable config file based on it. Currently doesn't support gen2 backends.
version		no	Returns lithopscloud's package version

Verify Additional ways of configuration

Using the verify-config option enables verification of additional valid ways of configuration, that otherwise left unchecked. This mode scans for any possible subset of valid parameters and extract them to output a new lithops config file (e.g., verify cos configured by HMAC credentials). To utilize simply run lithopscloud --verify_config CONFIG_FILE_PATH -o OUTPUT_FILE_PATH
Please note that this feature doesn't currently support the verification of gen2 backends.

Supported backends:

Standalone Compute Backends	Serverless Compute Backends	Storage Backends
Gen2/Lithops Gen2/Ray Local Host	IBM Cloud Functions IBM Code Engine	IBM Cloud Object Storage

For Contributors

Add new unsupported sections to config file

If the new configuration is provider specific

1. implement config_builder.py interface
2. add your implementation under provider package
3. add reference to your implementation in the list of exported modules, e.g. lithops modules

If the new configuration is common for multiple providers

1. implement config_builder.py interface to hold common logic
2. add your implementation to modules package
3. extend your common implementation under each provider package, e.g. lithops image.py and ray image.py to have config file specific logic