import json

import boto3

import base64

import pandas as pd

def lambda_handler(event, context):

s3_client =boto3.client('s3')

s3_bucket="s3fileupload"

# print the event to find the variables to consider for body or other attributes.

print(json.dumps(event))

file_content=event["body-json"]

content_decoded=base64.b64decode(file_content)

# through your client POST request if you are sending an attribute for holding filename 'filename' then it will be under 'params' section.

# Note: you have to send a custom attribute to send file name like 'filename'. file name is not available by default.

# secondly note that, API gateway > API > Integration request > Mapping request > select method request passthrough

filename=event["params"]["header"]["filename"]

s3_upload =s3_client.put_object(Bucket=s3_bucket, Key=filename, Body=content_decoded)

#bucket_name = event["Records"][0]["s3"]["bucket"]["name"]

#s3_file_name = event["content"][0]["s3"]["object"]["key"]

#print(s3_file_name)

resp = s3_client.get_object(Bucket=s3_bucket, Key=filename)

df = pd.read_csv(resp['Body'], sep=',')

#print(df.info())

return {

'statusCode': 200,

'body': json.dumps('worked')

}