I am trying to read the content of a csv file which was uploaded on an s3 bucket. To do so, I get the bucket name and the file key from the event that triggered the lambda function and read it line by line. Here is my code:
import json
import os
import boto3
import csv
def lambda_handler(event, context):
for record in event['Records']:
bucket = record['s3']['bucket']['name']
file_key = record['s3']['object']['key']
s3 = boto3.client('s3')
csvfile = s3.get_object(Bucket=bucket, Key=file_key)
csvcontent = csvfile['Body'].read().split(b'\n')
data = []
with open(csvfile['Body'], 'r') as csv_file:
csv_file = csv.DictReader(csv_file)
data = list(csv_file)
The exact error I’m getting on the CloudWatch is:
[ERROR] TypeError: expected str, bytes or os.PathLike object, not list
Traceback (most recent call last):
File "/var/task/lambda_function.py", line 19, in lambda_handler
with open(csvcontent, 'r') as csv_file:
Could someone help me fix this? I appreciate any help you can provide as I am new to lambda
To get the CSV file data from s3 bucket in the proper and with easy to retrieve index format below code helped me a lot:
key = 'key-name'
bucket = 'bucket-name'
s3_resource = boto3.resource('s3')
s3_object = s3_resource.Object(bucket, key)
data = s3_object.get()['Body'].read().decode('utf-8').splitlines()
lines = csv.reader(data)
headers = next(lines)
print('headers: %s' %(headers))
for line in lines:
#print complete line
print(line)
#print index wise
print(line[0], line[1])