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 os import path
from pandas import DataFrame
if 'data_loader' not in globals():
from mage_ai.data_preparation.decorators import data_loader
@data_loader
def load_from_s3_bucket(**kwargs) -> DataFrame:
"""
Template for loading data from 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.csv'
return S3.with_config(ConfigFileLoader(config_path, config_profile)).load(
bucket_name,
object_key,
)