@Marvin How can I read the files that are saved when using

from prefect.serializers import PickleSerializer

as serializer and

persist_result=True

,

result_storage=LocalFileSystem(basepath=settings.main_dir+'/results')

and

result_storage_key=result.pkl

in the

@task

decorator? Ideally I want to use the

pickle

module functions.

Ah, the art of unpickling. To read the files saved with

PickleSerializer

, you can use the

pickle

module as follows: 1. First, import the necessary modules:

python
import pickle
import os

2. Next, construct the file path to the saved result:

python
result_file_path = os.path.join(settings.main_dir, 'results', 'result.pkl')

3. Finally, read the pickled file:

python
with open(result_file_path, 'rb') as f:
    result = pickle.load(f)

Now,

result

contains the deserialized object from the pickled file. Remember, when deserializing objects, your Python and pickle library versions must match the ones used at serialization time. Otherwise, you might encounter compatibility issues. I hope this helps you unravel the mysteries of pickling. Good luck, and may the pickles be ever in your favor.

@Marvin I tried that approach but does not seem to work. How I can make sure the versions are the same?