Sairam Vengala 20e1615d8f Update metadata in setup.cfg
we are using some "aliases" that the setuptools docs say
"are supported for compatibility reasons" but their use is not advised[1].

[1] https://setuptools.pypa.io/en/latest/userguide/declarative_config.html#metadata

please check this below reference link

[2] https://review.opendev.org/c/openstack/charm-cinder/+/854987

Change-Id: I3d6eaebd86ce77a945e8179da783d0875cf19d27
2023-07-07 07:13:12 +00:00
2022-03-16 01:01:23 +09:00
2019-04-19 19:35:22 +00:00
2018-12-10 05:25:03 -05:00
2023-07-07 07:13:12 +00:00
2023-02-20 11:48:17 +09:00

Team and repository tags

image

Heat-Translator

Overview

Heat-Translator is an Openstack project and licensed under Apache 2. It is a command line tool which takes non-Heat templates as an input and produces a Heat Orchestration Template (HOT) which can be deployed by Heat. Currently the development and testing is done with an aim to translate OASIS Topology and Orchestration Specification for Cloud Applications (TOSCA) templates to HOT. However, the tool is designed to be easily extended to use with any format other than TOSCA.

Architecture

Heat-Translator project takes a non-Heat template (e.g. TOSCA flat YAML template or template embedded in TOSCA Cloud Service Archive (CSAR) format) as an input, calls an appropriate Parser (e.g. TOSCA Parser) per the type of input template to parse it and create an in-memory graph, maps it to Heat resources and then produces a Heat Orchestration Template (HOT) as an output.

How To Use

Please refer to doc/source/usage.rst

Directory Structure

Three main directories related to the heat-translator are:

  1. hot: It is the generator, that has logic of converting TOSCA in memory graph to HOT YAML files.
  2. common: It has all the file that can support the execution of parser and generator.
  3. tests: It contains test programs and more importantly several templates which are used for testing.

Project Info

Description
Translate non-heat templates to Heat Orchestration Template.
Readme 7.8 MiB
Languages
Python 100%