docs/v3/api-ref/python/prefect-concurrency-context.mdx
prefect.concurrency.contextConcurrencyContext <sup><a href="https://github.com/PrefectHQ/prefect/blob/main/src/prefect/concurrency/context.py#L11" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>Methods:
get <sup><a href="https://github.com/PrefectHQ/prefect/blob/main/src/prefect/context.py#L244" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>get(cls: type[Self]) -> Optional[Self]
Get the current context instance
model_copy <sup><a href="https://github.com/PrefectHQ/prefect/blob/main/src/prefect/context.py#L248" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>model_copy(self: Self) -> Self
Duplicate the context model, optionally choosing which fields to include, exclude, or change.
Attributes:
include: Fields to include in new model.exclude: Fields to exclude from new model, as with values this takes precedence over include.update: Values to change/add in the new model. Note: the data is not validated before creating
the new model - you should trust this data.deep: Set to True to make a deep copy of the model.Returns:
serialize <sup><a href="https://github.com/PrefectHQ/prefect/blob/main/src/prefect/context.py#L269" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>serialize(self, include_secrets: bool = True) -> dict[str, Any]
Serialize the context model to a dictionary that can be pickled with cloudpickle.