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Dispatch-pyPython package to develop applications with Dispatch.What is Dispatch?InstallationInstalling the Dispatch CLIInstalling the Dispatch SDKUsageWriting Dispatch ApplicationsRunning Dispatch ApplicationsWriting Transactional Applications with DispatchIntegration with FastAPIIntegration with FlaskConfigurationSerializationExamplesContributingWhat is Dispatch?Dispatch is a cloud service for developing scalable and reliable applications inPython, including:Event-Driven ArchitecturesBackground JobsTransactional WorkflowsMulti-Tenant Data PipelinesDispatch differs from alternative solutions by allowing developers to writesimple Python code: it has a minimal API footprint, which usually onlyrequires using a function decorator (no complex framework to learn), failurerecovery is built-in by default for transient errors like rate limits ortimeouts, with a zero-configuration model.To get started, follow the instructions to sign up for Dispatch 🚀.InstallationInstalling the Dispatch CLIAs a pre-requisite, we recommend installing the Dispatch CLI to simplify theconfiguration and execution of applications that use Dispatch. On macOS, thiscan be done easily using Homebrew:brew tap dispatchrun/dispatchbrew install dispatchAlternatively, you can download the latest dispatch binary from theReleases page.Note that this step is optional, applications that use Dispatch can run withoutthe CLI, passing configuration through environment variables or directly in thecode. However, the CLI automates the onboarding flow and simplifies theconfiguration, so we recommend starting with it.Installing the Dispatch SDK⚠️ The Dispatch SDK requires Python 3.8 or higher.The Python package is published on PyPI as dispatch-py, to install:💡 The Python SDK has integrations with FastAPI, Flask,or the standard http.server package.For requests to integrate other frameworks, open an issue on [GitHub]( Dispatch ApplicationsThe following snippet shows how to write a very simple Dispatch applicationthat does the following:declare a dispatch function named greet which can run asynchronouslyschedule a call to greet with the argument Worldrun until all dispatched calls have completed# main.pyimport [email protected] greet(msg: str): print(f"Hello, ${msg}!")dispatch.run(greet('World'))Obviously, this is just an example, a real application would perform much moreinteresting work, but it's a good start to get a sense of how to use Dispatch.Running Dispatch ApplicationsThe simplest way to run a Dispatch application is to use the Dispatch CLI, firstwe need to login:Then we are ready to run the example program we wrote above:dispatch run -- python3 main.pyWriting Transactional Applications with DispatchThe @dispatch.function decorator can also be applied to Python coroutines(a.k.a. async functions), in which case each await point becomes adurability step in the execution. If the awaited operation fails, it isautomatically retried, and the parent function is paused until the result areavailable or a permanent error is [email protected] def pipeline(msg): # Each await point is a durability step, the functions can be run across the # fleet of service instances and retried as needed without losing track of # progress through the function execution. msg = await transform1(msg) msg = await transform2(msg) await publish(msg)@dispatch.functionasync def publish(msg): # Each dispatch function runs concurrently to the others, even if it does # blocking operations like this POST request, it does not prevent other # concurrent operations from carrying on in the program. r = requests.post(" data=msg) r.raise_for_status()@dispatch.functionasync def transform1(msg): [email protected] def transform2(msg): ...This model is composable and can be used to create fan-out/fan-in control flows.gather can be used to wait on multiple concurrent calls:from dispatch import [email protected]