Skip to main content

Python SDK client for Netflix Maestro workflow orchestrator

Project description

maestro-python

Python sdk client library for Maestro workflow orchestrator.

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

# 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"}}'

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

maestro_sdk-0.1.0.tar.gz (13.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

maestro_sdk-0.1.0-py3-none-any.whl (15.4 kB view details)

Uploaded Python 3

File details

Details for the file maestro_sdk-0.1.0.tar.gz.

File metadata

  • Download URL: maestro_sdk-0.1.0.tar.gz
  • Upload date:
  • Size: 13.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.3

File hashes

Hashes for maestro_sdk-0.1.0.tar.gz
Algorithm Hash digest
SHA256 aa45bc9871d46578548fc3b922c3cfa915adf0ac5d7b1ddbf2c6a9f262fd4e0b
MD5 230b36be6e63592739f345310fb3f0e7
BLAKE2b-256 0af9711f8354e1990da2499402731c04d4473e9b11a9d518c3b73e3d8f872d62

See more details on using hashes here.

File details

Details for the file maestro_sdk-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: maestro_sdk-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 15.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.3

File hashes

Hashes for maestro_sdk-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a6485a4483712c244104d0abc73751a3af1840ac8857d3893fe0d0fa4ade2764
MD5 b7150030dfd51e6981beb2458412dbeb
BLAKE2b-256 c7e945d37216f082f479cad9ad662e045d252255e325a0083cbb09b86599c250

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page