Metadata-Version: 2.1
Name: cadence-client
Version: 0.0.2
Summary: Python framework for Cadence Workflow Service
Home-page: https://github.com/firdaus/cadence-python
Author: Mohammed Firdaus
Author-email: firdaus.halim@gmail.com
License: UNKNOWN
Description: # Python framework for Cadence Workflow Service
        
        [Cadence](https://github.com/uber/cadence) is a workflow engine developed at Uber Engineering. With this framework, workflows and activities managed by Cadence can be implemented in Python code.
        
        ## Status / TODO
        
        cadence-python is still under going heavy development. It should be considered EXPERIMENTAL at the moment. A production
        version is targeted to be released in ~~September of 2019~~ January 2020.
        
        - [x] Tchannel implementation
        - [x] Python-friendly wrapper around Cadence's Thrift API
        - [x] Author activities in Python
        - [x] Start workflows (synchronously)
        - [x] Create workflows
        - [x] Workflow execution in coroutines
        - [x] Invoke activities from workflows
        - [ ] Activity heartbeating and doNotCompleteOnReturn
        - [ ] Activity retry
        - [x] Signals
        - [ ] Queries
        - [x] Async workflow execution
        - [x] await
        - [x] now (currentTimeMillis)
        - [ ] Timers
        - [x] Sleep
        - [ ] Loggers
        - [x] newRandom
        - [x] UUID
        - [ ] Workflow Versioning
        
        2.0
        - [ ] Sticky workflows
        
        Post 2.0:
        - [ ] sideEffect/mutableSideEffect
        - [ ] Parallel activity execution
        - [ ] Cancellation Scopes
        - [ ] Child Workflows
        
        ## Installation
        
        ```
        pip install cadence-client
        ```
        
        ## Hello World Sample
        
        ```
        import sys
        import logging
        from cadence.activity_method import activity_method
        from cadence.workerfactory import WorkerFactory
        from cadence.workflow import workflow_method, Workflow, WorkflowClient
        
        logging.basicConfig(level=logging.DEBUG)
        
        TASK_LIST = "HelloActivity-python-tasklist"
        DOMAIN = "sample"
        
        
        # Activities Interface
        class GreetingActivities:
            @activity_method(task_list=TASK_LIST, schedule_to_close_timeout_seconds=2)
            def compose_greeting(self, greeting: str, name: str) -> str:
                raise NotImplementedError
        
        
        # Activities Implementation
        class GreetingActivitiesImpl:
            def compose_greeting(self, greeting: str, name: str):
                return greeting + " " + name + "!"
        
        
        # Workflow Interface
        class GreetingWorkflow:
            @workflow_method(execution_start_to_close_timeout_seconds=10, task_list=TASK_LIST)
            async def get_greeting(self, name: str) -> str:
                raise NotImplementedError
        
        
        # Workflow Implementation
        class GreetingWorkflowImpl(GreetingWorkflow):
        
            def __init__(self):
                self.greeting_activities: GreetingActivities = Workflow.new_activity_stub(GreetingActivities)
        
            async def get_greeting(self, name):
                return await self.greeting_activities.compose_greeting("Hello", name)
        
        
        if __name__ == '__main__':
            factory = WorkerFactory("localhost", 7933, DOMAIN)
            worker = factory.new_worker(TASK_LIST)
            worker.register_activities_implementation(GreetingActivitiesImpl(), "GreetingActivities")
            worker.register_workflow_implementation_type(GreetingWorkflowImpl)
            factory.start()
        
            client = WorkflowClient.new_client(domain=DOMAIN)
            greeting_workflow: GreetingWorkflow = client.new_workflow_stub(GreetingWorkflow)
            result = greeting_workflow.get_greeting("Python")
            print(result)
        
            print("Stopping workers....")
            worker.stop()
            print("Workers stopped...")
            sys.exit(0)
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
