Custom Action with Data Platform Buckets

import sys
import pandas as pd
from logging import getLogger

from forepaas.dwh import connect
from forepaas.dwh import bulk_insert

logger = getLogger(__name__)
def extract_func(event):
    try:
        # we get data from a bucket and we will archive them in another bucket
        bucket_source_name = "your_source_bucket_name_here"
        bucket_archives_name = "your_source_bucket_name_here"

        # create a connector to handle bucket   
        bucket_connector = connect("data_store/{}".format(bucket_source_name))

        # list files from bucket
        files = bucket_connector.list()

        # retrieve a file from Data Store bucket to temporary local folder
        bucket_filepath = "stations_rides.csv"
        local_filepath = "/tmp/stations_rides.csv"
        bucket_connector.fget(bucket_filepath, local_filepath)

        # read then transform the file as you need
        # here the date column format is simply adjusted for compatibility reasons 
        df = pd.read_csv(local_filepath, sep=';')
        df['date'] = pd.to_datetime(df['date'])

        # load the dataframe into a project table named 'raw_file'
        cn = connect("dwh/default_dataset/")
        bulk_insert(cn, "stations_rides_artur", df)
        del cn
        
        # option 1 : copy the file into the archives bucket
        bucket_archive_filepath = "archives/stations_rides.csv"
        bucket_connector.fcopy_to(bucket_archives_name, bucket_archive_filepath, bucket_filepath)
       
        # option 2 : put a file into the archives
        bucket_archives = connect("data_store/{}".format(bucket_archives_name))
        bucket_archives.fput(bucket_archive_filepath, local_filepath)
        del bucket_archives

        # delete file from source bucket
        bucket_connector.delete(bucket_filepath)

        # disconnect from datastore
        del bucket_connector
    except Exception as err: 
        raise Exception("err:{} L:{}".format(err,sys.exc_info()[2].tb_lineno))

from forepaas.dwh import connect

data_store = connect('data_store')

# Get bucket and upload image from URL to path forepaas/test.jpg.
# And finally get the image from the bucket
bucket_test = data_store.get_bucket('test')

lists = bucket_test.list(recursive=True)

bucket_test.put_request("https://i.stack.imgur.com/r8jTK.jpg", path='forepaas/test.jpg')
data = bucket.get('hello/test.jpg')

# Create a bucket if it does not already exists
if data_store.bucket_exists('test-exists') is False:
    data_store.create_bucket('test-exists')

# Connect directly to the bucket test and remove the file
bucket_test2 = connect('data_store/test')
bucket_test2.delete('hello/test.jpg')