resonate-basic-durable-world-usage-python

Build reliable checkpointed Python workflows by defining generator-based functions that yield Context API calls like ctx.run or ctx.rpc, enabling deterministic replay and safe side effects. Explicit registration with @resonate.register parameterizes the context for checkpoint-driven persistence.

A durable function in Python is a generator-based workflow using the Context API that ensures recoverable execution through checkpoint-driven persistence. It handles retries safely by applying determinism rules to time and randomness, ensuring consistent state during replay.

Orchestrate parallel and sequential tasks by composing durable functions with Context API patterns like run, rpc, and sleep. This generator-based approach supports single-process and distributed task coordination, including recursive workflows for complex orchestration.

Yes, you can use dependency injection with Python durable functions by composing generator-based workflows with the Context API. This parameterizes contexts and injects dependencies safely while maintaining deterministic replay and recoverable execution.

Ensure deterministic time and random behavior in distributed Python tasks by applying the Context API's determinism rules within generator-based durable functions. This guarantees checkpointed replays produce consistent results during recoverable execution.

Generator-based durable functions require strict adherence to determinism rules for time, randomness, and side effects; non-deterministic operations outside the Context API break checkpoint-driven replay. Explicit registration and context parameterization are mandatory for persistence.