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aws-stepfunction-0.0.5


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تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

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تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

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توضیحات

Yet the most developer friendly orchestration tool on AWS.
ویژگی مقدار
سیستم عامل -
نام فایل aws-stepfunction-0.0.5
نام aws-stepfunction
نسخه کتابخانه 0.0.5
نگهدارنده ['Unknown']
ایمیل نگهدارنده []
نویسنده Sanhe Hu
ایمیل نویسنده husanhe@gmail.com
آدرس صفحه اصلی https://github.com/MacHu-GWU/aws_stepfunction-project
آدرس اینترنتی https://pypi.org/project/aws-stepfunction/
مجوز MIT
.. image:: https://readthedocs.org/projects/aws_stepfunction/badge/?version=latest :target: https://aws_stepfunction.readthedocs.io/index.html :alt: Documentation Status .. image:: https://github.com/MacHu-GWU/aws_stepfunction-project/workflows/CI/badge.svg :target: https://github.com/MacHu-GWU/aws_stepfunction-project/actions?query=workflow:CI .. image:: https://codecov.io/gh/MacHu-GWU/aws_stepfunction-project/branch/main/graph/badge.svg :target: https://codecov.io/gh/MacHu-GWU/aws_stepfunction-project .. image:: https://img.shields.io/pypi/v/aws_stepfunction.svg :target: https://pypi.python.org/pypi/aws_stepfunction .. image:: https://img.shields.io/pypi/l/aws_stepfunction.svg :target: https://pypi.python.org/pypi/aws_stepfunction .. image:: https://img.shields.io/pypi/pyversions/aws_stepfunction.svg :target: https://pypi.python.org/pypi/aws_stepfunction .. image:: https://img.shields.io/badge/STAR_Me_on_GitHub!--None.svg?style=social :target: https://github.com/MacHu-GWU/aws_stepfunction-project ------ .. image:: https://img.shields.io/badge/Link-Document-green.svg :target: https://aws_stepfunction.readthedocs.io/index.html .. image:: https://img.shields.io/badge/Link-API-blue.svg :target: https://aws_stepfunction.readthedocs.io/py-modindex.html .. image:: https://img.shields.io/badge/Link-Source_Code-blue.svg :target: https://aws_stepfunction.readthedocs.io/py-modindex.html .. image:: https://img.shields.io/badge/Link-Install-blue.svg :target: `install`_ .. image:: https://img.shields.io/badge/Link-GitHub-blue.svg :target: https://github.com/MacHu-GWU/aws_stepfunction-project .. image:: https://img.shields.io/badge/Link-Submit_Issue-blue.svg :target: https://github.com/MacHu-GWU/aws_stepfunction-project/issues .. image:: https://img.shields.io/badge/Link-Request_Feature-blue.svg :target: https://github.com/MacHu-GWU/aws_stepfunction-project/issues .. image:: https://img.shields.io/badge/Link-Download-blue.svg :target: https://pypi.org/pypi/aws_stepfunction#files Welcome to ``aws_stepfunction`` Documentation ============================================================================== .. note:: You may not viewing the full document, `FULL DOCUMENT IS HERE <https://aws-stepfunction.readthedocs.io/index.html>`_ **Why this Library?** ``aws_stepfunction`` provides AWS StepFunction developer a "smooth", "interruption free", "enjoyable" development experience. If your mind set matches most of the following, ``aws_stepfunction`` is the right tool for you: - I love the AWS StepFunction Visual Editor - I love Python - I don't want to spent much time learning the Amazon State Machine JSON DSL (Domain Specific Language) - I can't memorize the code syntax - I respect code readability and maintainability **Talk is cheap, show me the code** The following code snippet is an equivalent of the below Workflow in the Visual Editor .. code-block:: python import aws_stepfunction as sfn from boto_session_manager import BotoSesManager # Declare a workflow object workflow = sfn.Workflow(comment="The power of aws_stepfunction library!") # Define some tasks and states task_invoke_lambda = sfn.actions.lambda_invoke(func_name="stepfunction_quick_start") succeed = sfn.Succeed() fail = sfn.Fail() # Orchestrate the Workflow ( workflow.start_from(task_invoke_lambda) .choice([ ( # define condition sfn.not_(sfn.Var("$.body").string_equals("failed!")) .next_then(succeed) ), ( # define condition sfn.Var("$.body").string_equals("failed!") .next_then(fail) ), ]) ) # Declare an instance of State Machine state_machine = sfn.StateMachine( name="stepfunction_quick_start", workflow=workflow, role_arn="arn:aws:iam::111122223333:role/my_lambda_role", ) # Deploy state machine bsm = BotoSesManager(profile_name="my_aws_profile", region_name="us-east-1") state_machine.deploy(bsm) # Execute state machine with custom payload state_machine.execute(bsm, payload={"name": "alice"}) # delete step function state_machine.delete(bsm) .. image:: https://user-images.githubusercontent.com/6800411/183264808-ecf1c7bc-0c9a-40fd-a42d-ea06e472c9ec.png :width: 800 **You mentioned "Smooth Development Experiment"?** I guess "a picture is worth a thousand words": .. image:: https://user-images.githubusercontent.com/6800411/183265960-5c1b3e15-e3ac-4035-a8f3-b39d4810e466.png :width: 600 .. image:: https://user-images.githubusercontent.com/6800411/183265961-9312df74-9fbe-42b3-bfc8-747ce0009929.png :width: 600 .. image:: https://user-images.githubusercontent.com/6800411/183265962-c01bc5d4-7d0a-40a2-9a6a-0207a12b41cb.png :width: 600 .. image:: https://user-images.githubusercontent.com/6800411/183265963-8d177efb-93a9-484a-856a-cc2d6f7c4d15.png :width: 600 .. _install: Install ------------------------------------------------------------------------------ ``aws_stepfunction`` is released on PyPI, so all you need is: .. code-block:: console $ pip install aws_stepfunction To upgrade to latest version: .. code-block:: console $ pip install --upgrade aws_stepfunction


نیازمندی

مقدار نام
>=21.1.0 attrs
>=1.0.0 sentinel
>=1.3.1 boto-session-manager
>=1.0.0 pathlib-mate
>=0.3.1 aws-console-url
- iterproxy
- func-args
- pathlib-mate
- twine
- wheel
- boto3
>=1.0.10 s3pathlib
>=0.0.8 cottonformation
==4.3.0 sphinx
==2021.8.17b10 sphinx-inline-tabs
==1.1.1 sphinx-jinja
==0.4.0 sphinx-copybutton
==0.0.7 rstobj
==0.8.9 nbsphinx
==1.0.2 docfly
==2021.8.31 furo
- IPython
- pytest
- pytest-cov
- rich
- boto3
>=1.0.10 s3pathlib
>=0.0.8 cottonformation


نحوه نصب


نصب پکیج whl aws-stepfunction-0.0.5:

    pip install aws-stepfunction-0.0.5.whl


نصب پکیج tar.gz aws-stepfunction-0.0.5:

    pip install aws-stepfunction-0.0.5.tar.gz