Sample code:
from mage_ai.data_preparation.repo_manager import get_repo_path
from mage_ai.io.config import ConfigFileLoader
from mage_ai.io.s3 import S3
from pandas import DataFrame
from os import path
if 'data_exporter' not in globals():
from mage_ai.data_preparation.decorators import data_exporter
@data_exporter
def export_data_to_s3(df: DataFrame, **kwargs) -> None:
"""
Template for exporting data to a S3 bucket.
Specify your configuration settings in 'io_config.yaml'.
Docs: https://github.com/mage-ai/mage-ai/blob/master/docs/blocks/data_loading.md#s3
"""
config_path = path.join(get_repo_path(), 'io_config.yaml')
config_profile = 'default'
bucket_name = 'samurai-operator'
object_key = 'user_profiles_transformed.csv'
return S3.with_config(ConfigFileLoader(config_path, config_profile)).export(
df,
bucket_name,
object_key,
)