def main(dict): return handler.yourFunction(dict)
def hello_world(request): request_json = request.get_json() return json.dumps(handler.yourFunction(request_json, None))
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
result = handler.yourFunction(req.params)
return func.HttpResponse(result)
'''
Created on Nov 24, 2019
@author: varikmp
'''
from handler import yourFunction
my_request = dict()
# http://faculty.washington.edu/wlloyd/courses/tcss562/project/etl/sales_data/
my_request["bucketname"] = "project.bucket.tcss562.vmp"
my_request['key'] = "100_Sales_Records.csv"
# print(extract(my_request, True))
print(yourFunction(my_request, True))
# print(query(my_request, True))
# from utilities import is_bucket_existed, list_all_buckets
# print(list_all_buckets())
# print(is_bucket_existed('tcss562.mylogs.vmp'))
# from utilities import upload_to_bucket
# upload_to_bucket('/tmp/100_sales_records.csv')
# from utilities import download_if_file_exists_on_amazon_s3
# download_if_file_exists_on_amazon_s3('processed_100_sales_records.csv')
def lambda_handler(event, context):
return handler.yourFunction(event, context)
