Muthupandian muthugit

## event-driven-docker-compose.yaml
version: '3'
x-airflow-common:
  &airflow-common
  image: apache/airflow:2.3.0
  environment:
    - AIRFLOW__CORE__EXECUTOR=LocalExecutor
    - AIRFLOW__CORE__SQL_ALCHEMY_CONN=postgresql+psycopg2://postgres:postgres@postgres:5432/airflow
    - AIRFLOW__CORE__FERNET_KEY=FB0o_zt4e3Ziq3LdUUO7F2Z95cvFFx16hU8jTeR1ASM=
    - AIRFLOW__CORE__LOAD_EXAMPLES=False
    - AIRFLOW__CORE__LOGGING_LEVEL=INFO

## clickhouse_db_to_db_copy.sh
clickhouse-client  --host <sourceIP> --password <password> --database <source_db> \
--query="select * from <source table> FORMAT Native" |  \
clickhouse-client --user default --password <local db password> --database <local database> \
--query="insert into <local table name> FORMAT Native"

## condition_validator.py
#!/usr/local/bin/python
# coding: utf-8
__author__ = 'muthugit'

import re

class Conditional_Formatter:
    """Find the invalid if statements and replace with the correct one

    :param file_path: A valid file path of the python file

## camel_to_snake.py
#!/usr/local/bin/python
# coding: utf-8
__author__ = 'muthugit'

# Importing system libraries
import sys
import ast
import re

variables = []

## apply_pandas.py
__author__ = "MUTHUPANDIAN"
__email__ = "contact@muthupandian.in"

'''
PERFORM SOME OPERATIONS IN THE EXISTING DATAFRAME USING APPLY METHOD
''''

import pandas as pd

#FUNCTIONS TO PERFORM OPERATION BETWEEN TWO COLUMNS

## replaceEmptyCells.py
__author__ = "MUTHUPANDIAN"
__email__ = "contact@muthupandian.in"

'''
TO REMOVE THE NONE DATATYPE FROM THE EMPTY CELLS
''''

# IMPORTING LIBRARIES
import pandas as pd

## bar.js
// set the dimensions of the canvas
function bar(element, jsonData, xColumnName, yColumnName) {
    elementTop = $(element).position().top
    elementLeft = $(element).position().left
    elementHeight = $(element).height()
    elementWidth = $(element).width()

    // alert(elementLeft)
    var margin = { top: 50, right: 20, bottom: 70, left: 50 },
        width = elementWidth - 100,

## viz.html
<!DOCTYPE html>
<meta charset="utf-8">

<head>
  <meta name="viewport" content="width=device-width, initial-scale=1">
  <meta http-equiv="X-UA-Compatible" content="IE=edge" />
  <link rel="stylesheet" href="https://bootswatch.com/3/paper/bootstrap.css" media="screen">
  <link rel='stylesheet' href='style.css' type='text/css' media='all' />
</head>

## viz.py
import pandas as pd
from flask import request
from flask import Flask
from flask_cors import CORS, cross_origin
app = Flask(__name__)
cors = CORS(app)
app.config['CORS_HEADERS'] = 'Content-Type'

df = pd.read_csv("data.csv")


## input.js
$('#inputBoxId').keypress(function(e) {
		if (!/[a-zA-Z-]/.test(String.fromCharCode(e.which)))
			return false;
	})
	version: '3'
	x-airflow-common:
	&airflow-common
	image: apache/airflow:2.3.0
	environment:
	- AIRFLOW__CORE__EXECUTOR=LocalExecutor
	- AIRFLOW__CORE__SQL_ALCHEMY_CONN=postgresql+psycopg2://postgres:postgres@postgres:5432/airflow
	- AIRFLOW__CORE__FERNET_KEY=FB0o_zt4e3Ziq3LdUUO7F2Z95cvFFx16hU8jTeR1ASM=
	- AIRFLOW__CORE__LOAD_EXAMPLES=False
	- AIRFLOW__CORE__LOGGING_LEVEL=INFO
	clickhouse-client --host <sourceIP> --password <password> --database <source_db> \
	--query="select * from <source table> FORMAT Native" \| \
	clickhouse-client --user default --password <local db password> --database <local database> \
	--query="insert into <local table name> FORMAT Native"
	#!/usr/local/bin/python
	# coding: utf-8
	__author__ = 'muthugit'

	import re

	class Conditional_Formatter:
	"""Find the invalid if statements and replace with the correct one

	:param file_path: A valid file path of the python file
	__author__ = "MUTHUPANDIAN"
	__email__ = "contact@muthupandian.in"

	'''
	PERFORM SOME OPERATIONS IN THE EXISTING DATAFRAME USING APPLY METHOD
	''''

	import pandas as pd

	#FUNCTIONS TO PERFORM OPERATION BETWEEN TWO COLUMNS
	__author__ = "MUTHUPANDIAN"
	__email__ = "contact@muthupandian.in"

	'''
	TO REMOVE THE NONE DATATYPE FROM THE EMPTY CELLS
	''''

	# IMPORTING LIBRARIES
	import pandas as pd
	// set the dimensions of the canvas
	function bar(element, jsonData, xColumnName, yColumnName) {
	elementTop = $(element).position().top
	elementLeft = $(element).position().left
	elementHeight = $(element).height()
	elementWidth = $(element).width()

	// alert(elementLeft)
	var margin = { top: 50, right: 20, bottom: 70, left: 50 },
	width = elementWidth - 100,
	<!DOCTYPE html>
	<meta charset="utf-8">

	<head>
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<meta http-equiv="X-UA-Compatible" content="IE=edge" />
	<link rel="stylesheet" href="https://bootswatch.com/3/paper/bootstrap.css" media="screen">
	<link rel='stylesheet' href='style.css' type='text/css' media='all' />
	</head>
	import pandas as pd
	from flask import request
	from flask import Flask
	from flask_cors import CORS, cross_origin
	app = Flask(__name__)
	cors = CORS(app)
	app.config['CORS_HEADERS'] = 'Content-Type'

	df = pd.read_csv("data.csv")
	$('#inputBoxId').keypress(function(e) {
	if (!/[a-zA-Z-]/.test(String.fromCharCode(e.which)))
	return false;
	})