{
    "info": {
        "author": "Laurie",
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            "Environment :: Console",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
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        "description": "# sfini\n[![Build Status](\nhttps://travis-ci.org/EpicWink/sfini.svg?branch=master)](\nhttps://travis-ci.org/EpicWink/sfini)\n[![codecov](\nhttps://codecov.io/gh/EpicWink/sfini/branch/master/graph/badge.svg)](\nhttps://codecov.io/gh/EpicWink/sfini)\n[![Documentation Status](\nhttps://readthedocs.org/projects/sfini/badge/?version=latest)](\nhttps://sfini.readthedocs.io/en/latest/?badge=latest)\n[![Contributor Covenant](\nhttps://img.shields.io/badge/Contributor%20Covenant-v1.4%20adopted-ff69b4.svg)](\nCODE_OF_CONDUCT.md)\n\nCreate, run and manage AWS Step Functions easily. Pronounced \"SFIN-ee\".\n\nThis package aims to provide a user-friendly interface into defining and\nrunning Step Functions. Things you can do in `sfini` to interact with AWS Step\nFunctions:\n* Implement and register activities\n* Define and register state machines\n* Start, track and stop executions\n* Run workers for activities\n* Get information for registered activities and state machines\n* De-register state machines and activities\n\nNote: this is not a tool to convert Python code into a Step Functions state\nmachine. For that, see [pyawssfn](https://github.com/bennorth/pyawssfn).\n\n## Getting started\n### Prerequisites\n* [AWS](https://aws.amazon.com/) (Amazon Web Services) account, with\n  access to Step Functions\n* AWS [IAM](https://aws.amazon.com/iam/) (Identity and Access Management)\n  credentials\n\n### Installation\n```bash\npip install sfini\n```\n\n## Usage\n### Documentation\nCheck the [documentation](https://sfini.readthedocs.io/en/latest/) or use\nthe built-in help:\n```bash\npydoc sfini\n```\n\n```python\nimport sfini\nhelp(sfini)\n```\n\n### AWS Step Functions\n[AWS Step Functions](https://aws.amazon.com/step-functions/) (SFN) is a\nworkflow-management service, providing the ability to coordinate tasks in a\nstraight-forward fashion. Further documentation can be found in the\n[AWS documentation](\nhttps://docs.aws.amazon.com/step-functions/latest/dg/welcome.html).\n\nUsage of Step Functions consists of two types: state-machines and activities.\nA state-machine is a graph of operations which defines a workflow of an\napplication, comprised of multiple types of \"states\", or stages of the\nworkflow. An activity processes input to an output, and is used to process a\ntask \"state\" in the state-machine (multiple task states can have the same\nactivity assigned it.\n\nOnce a state-machine is defined and registered (along with the used\nactivities), you run executions of that state-machine on different inputs to\nrun the workflow. `sfini` allows you to start, stop and get the history of\nthese executions.\n\nState-machines support conditional branching (and therefore loops), retries\n(conditional and unconditional), exception-catching, external AWS service\nsupport for running tasks, parallel execution and input/output processing.\nExternal services including AWS Lambda, so you don't have to deploy your own\nactivity runners.\n\nOnce state-machines and activities are defined and registered, you can view and\nupdate their details in [the SFN web console](\nhttps://console.aws.amazon.com/states/home?#/).\n\n### Role ARN\nEvery state-machine needs a role ARN (Amazon Resource Name). This is an AWS IAM\nrole ARN which allows the state-machine to process state executions. See AWS\nStep Functions documentation for more information.\n\n### Example\nMore examples found [in the documentation](\nhttps://sfini.readthedocs.io/en/latest/examples.html).\n\n```python\nimport sfini\n\n# Define activities\nactivities = sfini.ActivityRegistration(prefix=\"test\")\n\n\n@activities.activity(\"addActivity\")\ndef add_activity(data):\n    return data[\"a\"] + data[\"b\"]\n\n\n# Define state-machine\nadd = sfini.Task(\"add\", add_activity)\nsm = sfini.construct_state_machine(\"testAdding\", add)\n\n# Register state-machine and activities\nactivities.register()\nsm.register()\n\n# Start activity worker\nworker = sfini.Worker(add_activity)\nworker.start()\n\n# Start execution\nexecution = sm.start_execution(execution_input={\"a\": 3, \"b\": 42})\nprint(execution.name)\n# testAdding_2019-05-13T19-07_0354d790\n\n# Wait for execution and print output\nexecution.wait()\nprint(execution.output)\n# 45\nprint(execution.format_history())\n# ExecutionStarted [1] @ 2019-06-23 20:03:52.817000+10:00\n# TaskStateEntered [2] @ 2019-06-23 20:03:52.840000+10:00:\n#   name: add\n# ActivityScheduled [3] @ 2019-06-23 20:03:52.840000+10:00:\n#   resource: arn:aws:states:us-west-2:ACCID:activity:testaddActivity\n# ActivityStarted [4] @ 2019-06-23 20:03:53.954000+10:00:\n#   worker: hostname-3a4fb480\n# ActivitySucceeded [5] @ 2019-06-23 20:03:55.028000+10:00\n# TaskStateExited [6] @ 2019-06-23 20:03:55.028000+10:00:\n#   name: add\n# ExecutionSucceeded [7] @ 2019-06-23 20:03:55.028000+10:00\n# Output: 45\n\n# Stop activity workers\nworker.end()\nworker.join()\n\n# Deregister state-machine and activities\nactivities.deregister()\nsm.deregister()\n```\n\n\n",
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