API for graphs and tasks in Ewoks
Project description
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
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": {"id": "testworkflow"}, "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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ewokscore-0.7.2.tar.gz
(73.2 kB
view details)
File details
Details for the file ewokscore-0.7.2.tar.gz.
File metadata
- Download URL: ewokscore-0.7.2.tar.gz
- Upload date:
- Size: 73.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e7216dc968e865a4ce14e99cc7144b160ed6e859baa9b427d0c9f71aea136293 |
|
| MD5 | eface1c394c236ff0cc4521f01274574 |
|
| BLAKE2b-256 | 0119655092628ac39823202c37c3b19a8c54ff24e5e8317d6d54f5256d6c573d |
