Python SDK client for Netflix Maestro workflow orchestrator
Project description
maestro-python
Python sdk client library for Maestro workflow orchestrator. It has a minimal dependency, only requiring pyyaml.
Features
- Maestro yaml DSL
- Maestro python DSL
- Maestro client
- Maestro command line interface
Installation
pip install maestro-sdk
Or install maestro sdk from source code:
git clone https://github.com/jun-he/maestro-python.git
cd maestro-python
pip install -e .
Quick Start
Creating a workflow
from maestro import Workflow, Job
wf = Workflow(id="test-wf")
wf.owner("tester").tags("test")
wf.job(Job(id="job1", type='NoOp'))
wf_yaml = wf.to_yaml()
Pushing a workflow to Maestro server
from maestro import Workflow, Job, MaestroClient
wf = Workflow(id="test-wf")
wf.owner("tester").tags("test")
wf.job(Job(id="job1", type='NoOp'))
wf_yaml = wf.to_yaml()
client = MaestroClient(base_url="http://127.0.0.1:8080", user="tester")
response = client.push_yaml(wf_yaml)
print(response)
Starting a workflow
from maestro import MaestroClient
client = MaestroClient(base_url="http://127.0.0.1:8080", user="tester")
response = client.start(workflow_id="test-wf", run_params={"foo": {"value": "bar", "type": "STRING"}})
print(response)
Command line interface (CLI)
Push a workflow
maestro --base-url http://127.0.0.1:8080 --user tester push sample-wf.yaml
# push the yaml using default base-url and user name
maestro push sample-wf.yaml
Validate a workflow
maestro --base-url http://127.0.0.1:8080 --user tester validate sample-wf.yaml
# validate the yaml using default base-url and user name
maestro validate sample-wf.yaml
Start a workflow definition
# start sample-wf with default version and none runtime params
maestro --base-url http://127.0.0.1:8080 --user tester start sample-wf.yaml
# start sample-wf with default base-url & user name and runtime params using a specific version
maestro start sample-wf --version 1 --params '{"foo": {"value": "bar", "type": "STRING"}}'
# start sample-wf with default base-url & user name and runtime params using the latest version
maestro start sample-wf --version latest --params '{"foo": {"value": "bar", "type": "STRING"}}'
Get a workflow instance or step instance
maestro --base-url http://127.0.0.1:8080 --user tester start sample-wf.yaml
# get workflow definition for version 1
maestro get-workflow sample-wf --version 1
maestro start sample-wf --version 1 --params '{"foo": {"value": "bar", "type": "STRING"}}'
# get workflow instance for instance id 1
maestro get-instance sample-wf 1
# get workflow step instance for instance id = 1 and step id = job1
maestro get-instance sample-wf 1 --step-id job1
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