58407b6f94
* Refactored API layer so that we can work with 'context' as with a json object in underlying layers (DB, engine, etc.) rather than a string * Added "context" parameter in all required places * Added necessary Data Flow related properties to DB models * Refactored and fixed a series of tests * Minor formatting changes TODO: * Calculation of task incoming context * Abstract interface for expression evaluator * Data Flow related tests Partially implements blueprint: mistral-dataflow Change-Id: Ie7f94d79265e9861f7ad15c76ff6d788ec62b683 |
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doc/source | ||
etc | ||
mistral | ||
scripts | ||
tools | ||
.gitignore | ||
.gitreview | ||
.pylintrc | ||
AUTHORS | ||
LICENSE | ||
openstack-common.conf | ||
README.rst | ||
requirements.txt | ||
setup.cfg | ||
setup.py | ||
test-requirements.txt | ||
tox.ini |
Mistral
Task Orchestration and Scheduling service for OpenStack cloud
Running in development mode
### Installation First of all, in a shell run:
tox
This will install necessary virtual environments and run all the project tests. Installing virtual environments may take significant time (~10-15 mins).
### Running Mistral API server To run Mistral API server perform the following command in a shell:
tox -evenv -- python mistral/cmd/api.py --config-file path_to_config
Note that an example configuration file can be found in etc/mistral.conf.example.
### Running Mistral Task Executors To run Mistral Task Executor instance perform the following command in a shell:
tox -evenv -- python mistral/cmd/task_executor.py --config-file path_to_config
Note that at least one Executor instance should be running so that workflow tasks are processed by Mistral.