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Depends-On: https://review.opendev.org/729744
Change-Id: I5ddb26cadb0b7db435c385271b36c6538830a142
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Mistral

Latest Version

Mistral is a workflow service. Most business processes consist of multiple distinct interconnected steps that need to be executed in a particular order in a distributed environment. A user can describe such a process as a set of tasks and their transitions. After that, it is possible to upload such a description to Mistral, which will take care of state management, correct execution order, parallelism, synchronization and high availability.

Mistral also provides flexible task scheduling so that it can run a process according to a specified schedule (for example, every Sunday at 4.00pm) instead of running it immediately. In Mistral terminology such a set of tasks and relations between them is called a workflow.

Mistral client

Python client for Mistral REST API. Includes python library for Mistral API and Command Line Interface (CLI) library.

Installation

First of all, clone the repo and go to the repo directory:

$ git clone https://opendev.org/openstack/python-mistralclient.git
$ cd python-mistralclient

Then just run:

$ pip install -e .

or:

$ pip install -r requirements.txt
$ python setup.py install

Running Mistral client

If Mistral authentication is enabled, provide the information about OpenStack auth to environment variables. Type:

$ export OS_AUTH_URL=http://<Keystone_host>:5000/v2.0
$ export OS_USERNAME=admin
$ export OS_TENANT_NAME=tenant
$ export OS_PASSWORD=secret
$ export OS_MISTRAL_URL=http://<Mistral host>:8989/v2  (optional, by
  default URL=http://localhost:8989/v2)

and in the case that you are authenticating against keystone over https:

$ export OS_CACERT=<path_to_ca_cert>

Note

In client, we can use both Keystone auth versions - v2.0 and v3. But server supports only v3.*

To make sure Mistral client works, type:

$ mistral workbook-list

You can see the list of available commands typing:

$ mistral --help
Description
Python client for Mistral REST API.
Readme 8.4 MiB
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Python 99.2%
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