Home

Awesome

Serverless Workflow Specification - Python SDK

Provides the Python API/SPI for the Serverless Workflow Specification

With the SDK you can:

Status

Current sdk version conforms to the Serverless Workflow specification v0.8.

Install dependencies and run test

pipenv install --dev 

pipenv shell

python setup.py pytest

Programmatically build workflow definitions

 workflow = Workflow(
        id="greeting",
        name="Greeting Workflow",
        description="Greet Someone",
        version='1.0',
        specVersion='0.8',
        start="Greet",
        states=[
            OperationState(
                name="Greet",
                type="operation",
                actions=[
                    Action(
                        functionRef=FunctionRef(
                            refName="greetingFunction",
                            arguments={
                                "name": "${ .person.name }"
                            }
                        ),
                        actionDataFilter=ActionDataFilter(
                            results="${ .greeting }"
                        )
                    )
                ],
                end=True
            )
        ],
        functions=[
            Function(name="greetingFunction",
                     operation="file://myapis/greetingapis.json#greeting")
        ]
    )

You can see a full example in the test_workflow.py file

Parse workflow JSON and YAML definitions

Convert from JSON or YAML source

swf_content = """id: greeting
name: Greeting Workflow
version: '1.0'
description: Greet Someone
specVersion: '0.8'
start: Greet
states:
- name: Greet
  type: operation
  actions:
  - functionRef:
      refName: greetingFunction
      arguments:
        name: ${ .person.name }
    actionDataFilter:
      results: ${ .greeting }
  end: true
functions:
- name: greetingFunction
  operation: file://myapis/greetingapis.json#greeting
"""
  workflow = Workflow.from_source(swf_content)

You can see a full example in the test_workflow.py file

Parse workflow to JSON / YAML

workflow = Workflow(id_="greeting",
                    name="Greeting Workflow",
                    description="Greet Someone",
                    version='1.0',
                    specVersion='0.8',
                    start="Greet",
                    states=[],
                    functions=[]
)                
print(workflow.to_json())
print(workflow.to_yaml())

You can see a full example in the test_workflow.py file

Validate workflow definitions

workflow = Workflow(id_="greeting",
                    name="Greeting Workflow",
                    description="Greet Someone",
                    version='1.0',
                    specVersion='0.8',
                    start="Greet",
                    states=[],
                    functions=[]
)
WorkflowValidator(Workflow(workflow)).validate()

The validate method will raise an exception if the provided workflow does not complaint specification.

You can see a full example in the test_workflow_validator file