I'm saving a csv file to my s3 bucket using S3PickleIOManager. It appears as if the content is not saved as a regular csv utf8 string.

Based on the documentation, the

S3PickleIOManager

is designed to manage the output of operations by pickling Python objects and saving them to S3. Pickling is a way to serialize Python objects, which means that the data is not stored in plain text (like a UTF-8 encoded CSV file) but in a binary format that can be deserialized (unpickled) back into a Python object later. If you want to save data as a regular CSV file with UTF-8 encoding to S3, you would need to use a different approach. You could create a custom IO manager that writes the data to S3 as a CSV file, or you could use an existing IO manager that supports writing files in the desired format. The documentation does not provide a direct example of an IO manager for writing CSV files to S3, but you could potentially adapt the existing

S3PickleIOManager

by overriding the

handle_output

method to write CSV data instead of pickled data. Alternatively, you could look for community-contributed IO managers or examples that handle CSV files specifically. For saving CSV files, you would typically want to use Python's built-in

csv

module or

pandas

DataFrame's

to_csv

method to write the CSV data, and then use the

boto3

library (which is the AWS SDK for Python) to upload the file to S3 with the correct content type and encoding. Remember that when you save a file to S3, you can also set the

ContentType

metadata to indicate that the file is a CSV with UTF-8 encoding. This can be done by setting the

ContentType

to

text/csv; charset=utf-8

when uploading the file using

boto3

. If you need further assistance with creating a custom IO manager or adapting an existing one to handle CSV files, you may want to refer to the Dagster community or documentation for more specific guidance or examples.