kube-app 0.14

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Kube app library process flow documentation

Pre-requisites

Python installation documentation

Python installation for windows 8 and above. Documentation

pip installation for windows 8 and above. Documentation

Installation

Supported for all macOS/linux/windows.

There are some prerequisite which need to be considered before using this sdk and they have been covered in previous section.

Install kube-app sdk with pip.

  pip install kube-app

Method:

pushData(source_data,table,overwrite)

Using pushData method data can be inserted into table schema already defined in kube database.

  import kube_app as k
  client = k.Client('API_KEY','SECRET_KEY')
  client.pushData(source_data,table,overwrite)

Request Parameters:

Here is the list of parameters for pushing data into kube database:

Parameter	Type	Description
source_data	pandas dataframe	source_data is pandas dataframe which is generated by the user.
table	string	table is string value which can be: sales,sales_order,calendar,ar,logs,target.
overwrite	boolean	overwrite can be True or False. overwrite is True by default and when it is False then data is appended in current table.

Output:

boolean: True

The output is a boolean value True which suggests data is inserted into kube database.

getSchema(table)

Using getSchema method schema details for all tables present are extracted as pandas dataframe.

  import kube_app as k
  client = k.Client('API_KEY','SECRET_KEY')
  client.getSchema(table)

Request Parameters:

Here is the list of parameters to get schema details from kube database:

Parameter	Type	Description

| | table | string | table is string value which can be: sales,sales_order,calendar,ar,logs,target. |

Output:

boolean: True

The output is a pandas dataframe.

getData(table)

Using getData method data can be extracted from kube database.

  import kube_app as k
  client = k.Client('API_KEY','SECRET_KEY')
  client.getData(table)

Request Parameters:

Here is the list of parameters for pushing data into kube database:

Parameter	Type	Description

| | table | string | table is string value which can be: sales,sales_order,calendar,ar,logs,target. |

Output:

boolean: True

The output is a pandas dataframe.

generateCalendarData(start_month,start_year,end_year)

Using generateCalendarData method calendar can be generated which can be later pushed into kube database using pushData method.

  import kube_app as k
  client = k.Client('API_KEY','SECRET_KEY')
  client.getCalendarData(04,2023,2024)

Request Parameters:

Here is the list of parameters for pushing data into kube database:

Parameter	Type	Description

| | start_month | integer | start_month is integer value between 1 to 12. | | start_year | integer | start_year is an integer value. | | end_year | integer | end_year is an integer value more than start_year. |

Output:

boolean: True

The output is a pandas dataframe.

deleteTable(table)

Using generateCalendarData method calendar can be generated which can be later pushed into kube database using pushData method.

  import kube_app as k
  client = k.Client('API_KEY','SECRET_KEY')
  client.deleteTable('sales')

Request Parameters:

Here is the list of parameters for pushing data into kube database:

Parameter	Type	Description

| | table | string | table is string value which can be: sales,sales_order,calendar,ar,logs,target. |

Output:

boolean: True

The output is a pandas dataframe.

getSampleData(table)

Using getSampleData method sample data can be viewed in the form of pandas dataframe and later can be used to push into kube database using pushData method.

  import kube_app as k
  client = k.Client('API_KEY','SECRET_KEY')
  client.getSampleData('sales')

Request Parameters:

Here is the list of parameters for pushing data into kube database:

Parameter	Type	Description

| | table | string | table is string value which can be: sales,sales_order,calendar,ar,logs,target. |

Output:

boolean: True

The output is a pandas dataframe.