Ghanshyam Mann 828ede5d67 [goal] Migrate testing to ubuntu focal
As per victoria cycle testing runtime and community goal[1]
we need to migrate upstream CI/CD to Ubuntu Focal(20.04).

Fixing:
- bug#1886298
Bump the lower constraints for required deps which added python3.8 support
in their later version.

Story: #2007865
Task: #40186

[1] https://governance.openstack.org/tc/goals/selected/victoria/migrate-ci-cd-jobs-to-ubuntu-focal>

Change-Id: I482ac98bc56f0e3cfb8b767f47649da11ed1afab
2020-08-17 14:19:50 +00:00
2019-04-19 19:35:22 +00:00
2018-12-10 05:25:03 -05:00
2020-04-07 17:35:28 +02:00

Team and repository tags

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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%