ewokscore

ewokscore provides an API to define workflows and implement tasks in ewoks.

Install

pip install ewokscore[test]

Test

pytest --pyargs ewokscore.tests

Getting started

from ewokscore import Task
from ewokscore import execute_graph


# Implement a workflow task
class SumTask(
    Task, input_names=["a"], optional_input_names=["b"], output_names=["result"]
):
    def run(self):
        result = self.inputs.a
        if self.inputs.b:
            result += self.inputs.b
        self.outputs.result = result


# Define a workflow with default inputs
graph = {"id": "testworkflow", "schema_version": "1.1"}
nodes = [
    {
        "id": "task1",
        "task_type": "class",
        "task_identifier": "__main__.SumTask",
        "default_inputs": [{"name": "a", "value": 1}],
    },
    {
        "id": "task2",
        "task_type": "class",
        "task_identifier": "__main__.SumTask",
        "default_inputs": [{"name": "b", "value": 1}],
    },
    {
        "id": "task3",
        "task_type": "class",
        "task_identifier": "__main__.SumTask",
        "default_inputs": [{"name": "b", "value": 1}],
    },
]
links = [
    {
        "source": "task1",
        "target": "task2",
        "data_mapping": [{"source_output": "result", "target_input": "a"}],
    },
    {
        "source": "task2",
        "target": "task3",
        "data_mapping": [{"source_output": "result", "target_input": "a"}],
    },
]
workflow = {"graph": graph, "nodes": nodes, "links": links}

# Define task inputs
inputs = [{"id": "task1", "name": "a", "value": 10}]

# Execute a workflow (use a proper Ewoks task scheduler in production)
varinfo = {"root_uri": "/tmp/myresults"}  # optionally save all task outputs
result = execute_graph(workflow, varinfo=varinfo, inputs=inputs)
print(result)

Documentation

https://ewokscore.readthedocs.io/