Validate Address
===========

This node validate the USA address

Input
--------------
It accepts a DataFrame as input from the previous Node

Output
--------------
A new column isValidAddress is added which contains valid or inValid values

Type
--------- 

transform

Class
--------- 

fire.nodes.etl.NodeValidateAddress

Fields
--------- 

.. list-table::
      :widths: 10 5 10
      :header-rows: 1

      * - Name
        - Title
        - Description
      * - inputColName
        - Input Column Name
        - input column name


Details
-------
Address Validation Node Details
+++++++++++++++


This node validates an address.


It creates a new Dataframe by adding a column stating where Address Column contains valid address or not.


Some of the valid address formats are as below:


* 123 xyx avenue
* 1/1 block-D street


Examples
-------
Address Validation Node Examples
+++++++++++++++


Incoming Dataframe has following rows:


::

    CUST_CD    |    Address
    -----------------------------------
    CUST001    |    123 xyx avenue
    CUST002    |    abc 986 street
    CUST003    |    1/1 block-D street
    CUST004    |    123 9876block park


If ValidateAddress node is configured to validate address mentioned in [Address] column then outgoing Dataframe would be created as below:


::

    CUST_CD    |    Address               |    isValidAddress
    --------------------------------------------------------------
    CUST001    |    123 xyx avenue        |    valid
    CUST002    |    abc 986 street        |    inValid
    CUST003    |    1/1 block-D street    |    valid
    CUST004    |    123 9876block park    |    inValid