Marco Barbero Mota
05/18/2023, 5:20 PMfrom 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.Marvin
05/18/2023, 5:21 PMPickleSerializer
, 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.Marco Barbero Mota
05/18/2023, 5:22 PM