Category Archives: AWS

import pandas as pd import boto3 from io import StringIO data = [[‘Billu’, 31], [‘amit’, 30], [‘Mayank’, 14],[‘prabhat’, 30]] df = pd.DataFrame(data, columns = [‘Name’, ‘Age’]) df ACCESS_KEY=”AKIATHOPBKF36EHONBNK” SECRET_KEY=”dPYe96DbvnAmBDzLws5GBIgk+EqrmiPVnPWFdNoE” def upload_s3(df): i=”test.csv” s3 = boto3.client(“s3″,aws_access_key_id=ACCESS_KEY,aws_secret_access_key=SECRET_KEY) csv_buf = StringIO() df.to_csv(csv_buf, header=True, index=False) csv_buf.seek(0) s3.put_object(Bucket=”test-deltafrog-bucket”, Body=csv_buf.getvalue(), Key=’2021/’+i) ######################SNS############### ses = boto3.client(‘sns’, aws_access_key_id=ACCESS_KEY, aws_secret_access_key=SECRET_KEY,region_name=’us-east-1′) sns_topicname_arn=”arn:aws:sns:us-east-1:222161883511:s3_upload_notification” #Publish the message […]

import pandas as pd from pretty_html_table import build_table import boto3 from email.mime.multipart import MIMEMultipart from email.mime.text import MIMEText ACCESS_KEY = ‘AKIATHOPBKF35ELXFTFX’ SECRET_KEY = ‘2RWyaUCXusLDx/aVUuiCyTBZfbj2b5D/IuuhfAm/’ ses = boto3.client(‘ses’, aws_access_key_id=ACCESS_KEY, aws_secret_access_key=SECRET_KEY,region_name=’us-east-1′) def send_mail(df): body = build_table(df, ‘blue_light’) sender = “sumit8147085086@gmail.com” to = ‘sumit8147085086@gmail.com’ cc = ‘sumit8147085086@gmail.com’ rcpt = cc.split(“,”) + to.split(“,”) #rcpt = to.split(“,”) message = MIMEMultipart() […]

Hey ,   In this Video we are going to learn Step function AWS service with real-time Scenario. We will trigger step function from Lambda as soon as file will drop into S3 bucket. We have configured Two lambda in our Step function’s state Machine, first will truncate the redshift table and 2nd will copy […]

import json import boto3 import pandas as pd from datetime import datetime import s3fs from urllib.parse import unquote def lambda_handler(event, context): # TODO implement now = datetime.now() date_time=now.strftime(“%Y-%m-%d_%H-%M-%S”) s3 = boto3.client(‘s3′) bucket=’deltafrog-training-dev’ src_Key=’real_time_data/’ dest_file=”s3://deltafrog-training-dev/combined_data/anual_combined_” archive_Key=’archive/’ res=s3.list_objects(Bucket=bucket,Prefix=src_Key) print(res) fname_list=[] final_df=pd.DataFrame() if “Contents” in res: for i in res[“Contents”]: print(i) if “csv” in i[‘Key’]: filename=i[‘Key’].split(‘/’)[-1] print(filename) fname_list.append(filename) […]

I have create the Video and explain the same.   Below is the code used in Video tutorial ###### import json import boto3 from datetime import datetime import psycopg2 from env import ENV from settings import credential,REDSHIFT_ROLE,BUCKET ENV=’dev’ credential = { ‘dbname’ : ‘dev’, ‘port’ : ‘5439’, ‘user’ : ‘awsuser’, ‘password’ : ‘Deltafrog#123’, ‘host_url’:’redshift-cluster-1.cgymtibgpcfw.us-east-1.redshift.amazonaws.com’ } […]

In Lambda when we write code in python we need to import some module that is not build in . As Lambda is serverless service and We dont have access to server where we can do “pip install module”. In this case we need to create layer for that we have to download required module […]