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generics in prefect
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| from typing import Sequence, TypeVar, Generic | |
| from pydantic import BaseModel, TypeAdapter | |
| from prefect import flow, task | |
| ResultType = TypeVar("ResultType") | |
| class Result(BaseModel, Generic[ResultType]): | |
| data: Sequence[ResultType] | |
| @task | |
| def query() -> Result[str]: | |
| '''provide `str` as the otherwise generic type parameter for `Result`''' | |
| return Result[str](data='1 2 3'.split()) | |
| @task | |
| def process_result(raw_result: Result[str]) -> Result[int]: | |
| '''provide `int` as the otherwise generic type parameter for `Result`''' | |
| return TypeAdapter(Result[int]).validate_python(raw_result.model_dump()) | |
| @flow(log_prints=True) | |
| def work(): | |
| future = query.submit() | |
| processed_result = process_result(future) # type: ignore | |
| print(processed_result) | |
| assert isinstance(processed_result, Result) | |
| assert processed_result.data == [1, 2, 3] | |
| if __name__ == "__main__": | |
| work() |
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