Shantanu's Blog

Corporate Consultant

April 29, 2016

 

Finding the most relevant values for a given list


Let's assume we have a list of "good" numbers and we need to find the relevance of a number for e.g. 103 to this list. In this case the weight of 103 in the context of the given list is 3.94 We can calculate the weight of all numbers, sort and take top 4 or 5

Here is how to generate test data for this exercise...

mylist=[100, 101, 102, 104, 105, 106, 107, 220, 221, 289, 290, 542, 544 ]
import pandas as pd
columnA=pd.DataFrame(mylist)

secondlist=[103, 299, 999, 108, 543]
import pandas as pd
row1=pd.DataFrame(secondlist)

for i in row1[0]:
    columnA[i] = 1/ abs(columnA[0] - i) 

# dataframe looks like this excel sheet
columnA




mypd=columnA.sum()

mypd.sort_values(inplace=True,ascending=False)

mypd
0      2831.000000
103       3.948958
108       2.551252
543       2.030021
299       0.280611
999       0.017591
dtype: float64

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April 28, 2016

 

pass all data to API gateway

It is possible to pass through the entire request body with a mapping template like this:

#set($inputRoot = $input.path('$'))
{
    "body" : $input.json('$')
}

If you wanted to pass in a subset of the request body change the '$' selector to the desired JsonPath.

http://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-mapping-template-reference.html

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April 26, 2016

 

aws kinesis to elasticsearch

Here is 3 lines of code that will push a record to elasticsearch via kinesis firehose. It can be used for streaming data.

import boto3

firehose_client = boto3.client('firehose', region_name="us-east-1")

response = firehose_client.put_record(
            DeliveryStreamName='kfh',
            Record={
                'Data': json.dumps({'client_name': 'pqr', 'client_code': 8})
            }
        )
_____

The equivalent AWS Lambda function will look something like this.

import boto3
import json

firehose_client = boto3.client('firehose', region_name="us-east-1")

def lambda_handler(event, context):

    myRecord={'client_name': str(event['client_name']), 'client_code': int(event['client_code']) }

    response = firehose_client.put_record(
            DeliveryStreamName='kn_to_es',
            Record={'Data': json.dumps(myRecord)}
        )

    return response

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April 24, 2016

 

Using docker differently

1) There is no need to run each container as deamon. We can call the container as and when required like this...

[root@ip-172-31-8-33 ec2-user]# docker run ubuntu echo "hello world"
hello world

We can also use python to execute such command.

How to install:

pip install -e git+https://github.com/deepgram/sidomo.git#egg=sidomo

How to use:

from sidomo import Container

with Container('ubuntu') as c:
    for output_line in c.run('echo hello world'):
        print(output_line)


2) Docker containers can also be used for testing purpose. selenium browser testing is possible using docker. for e.g.

## http://testdetective.com/selenium-grid-with-docker/

docker run -d -P --name selenium-hub selenium/hub

docker run -d --link selenium-hub:hub selenium/node-firefox

docker run -d -P --link selenium-hub:hub selenium/node-chrome


3) There are other containers those can be used and the list can be found here...

https://blog.jessfraz.com/post/docker-containers-on-the-desktop/

Some of the containers from the above link are listed:

# run tor proxies
docker run -d --restart always -v /etc/localtime:/etc/localtime:ro  -p 9050:9050 --name torproxy jess/tor-proxy

docker run -d --restart always -v /etc/localtime:/etc/localtime:ro --link torproxy:torproxy -p 8118:8118 --name privoxy jess/privoxy


# help the tor network by running a bridge relay!
docker run -d -v /etc/localtime:/etc/localtime --restart always -p 9001:9001 --name tor-relay jess/tor-relay -f /etc/tor/torrc.bridge

# IRC Client
docker run -it -v /etc/localtime:/etc/localtime -v $HOME/.irssi:/home/user/.irssi --read-only --name irssi jess/irssi

# email app
docker run -it -v /etc/localtime:/etc/localtime -e GMAIL -e GMAIL_NAME -e GMAIL_PASS -e GMAIL_FROM -v $HOME/.gnupg:/home/user/.gnupg --name mutt jess/mutt


# text based twitter client
docker run -it -v /etc/localtime:/etc/localtime -v $HOME/.rainbow_oauth:/root/.rainbow_oauth -v $HOME/.rainbow_config.json:/root/.rainbow_config.json --name rainbowstream jess/rainbowstream

# lynx browser
docker run -it --name lynx jess/lynx

# chrome
docker run -it --net host --cpuset-cpus 0 --memory 512mb -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=unix$DISPLAY -v $HOME/Downloads:/root/Downloads -v $HOME/.config/google-chrome/:/data --device /dev/snd --name chrome jess/chrome

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April 22, 2016

 

Pinterest to RSS feed discovery

I have written an API to generate RSS feed of any pinterest user and all the boards owned by him / her. This has been done using Amazon API gateway and AWS Lambda. Here is how it works...

The pinterest feed discovery will be available after supplying the pin url, somehting like this...

https://f84jmref3f.execute-api.us-east-1.amazonaws.com/stag/pintorss?url=http://in.pinterest.com/shantanuo/buy/

["http://in.pinterest.com/shantanuo/buy.rss", ["http://in.pinterest.com/shantanuo/feed.rss", "http://in.pinterest.com/shantanuo/my-wishlist.rss", "http://in.pinterest.com/shantanuo/truth.rss", "http://in.pinterest.com/shantanuo/tips.rss"]]

The first feed url returns the exact feed of "buy" board. There are other boards owned by the user "shantanuo". They are also returned as list.
_____

And here is the source code:

1) API Gateway:
a) Method Execution - Get Method Request - URL Query String Parameters - add a variable call url
b) Method Execution - Get Integration Request - Mapping Templates - Content-Type - application/json - Mapping template

{"url": "$input.params('url')"}

The above will link the variables received from the API gateway to the lambda function event dictionary.

2) Lambda function:

def lambda_handler(event, context):
    myurl=event['url']
    x=feedspot(myurl)
    return x.url_others()

The feedspot class can be copied from ...

https://gist.github.com/shantanuo/e6112e464276e4ccbc34c36620b811f8

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