d2-dome 1.0.2

Product class use Dome API's

d2-dome

Dome from Declarative Data Inc. contains the required modules to interactive with Dome Data Product and management Intents

Getting Started

Follow the steps described below to use this module

Prerequisites

• python3
• pandas
• requests

Usage

Installation

pip install d2-dome

Import and Initialize a Dome Product

from dome import Product
my_product = Product(productId="12345678")

Get Product and Attribute Info

product_df, attributes_df = my_product.info()

Get Management Intents that govern the lifecycle of a Product

product_intents = my_product.intents()

Get Series Members (Partition Keys and Values) of the Product

product_series_members_df = my_product.series_members()

Read Product Data

The read operation takes following optional parameters

+columns: Optional[List[str | dict]] - A list of all columns to be read. The List can contain a string with the column name or a dict with column name as the key and grouping function to be applied as value +where: Optional[str] - A string containing a filter expression to be added. Note: The expression should not include the where key word +group_by: Optional[List[str]] - A list of column names for grouping the results +order_by: Optional[List[str]] - A list of column names for grouping the results +limit: Optional[int] - A limit to number of records to be returned

Here are few examples

Read all product data

product_read_df = my_product.read()

Read only 10 rows of my product

product_read_df = my_product.read(limit=10)

Read only 2 columns with a where condition and limit to 10 rows

product_read_df = my_product.read(columns=["col1","col2"], where="col3 = 'col3_value'", limit=10)

Read with results grouped

product_read_df = my_product.read(columns=["col1",{"col2":"sum"}], where="col3 = 'col3_value'", group_by=["col1"], order_by=["col1"], limit=10)

Authors

• Bhavin Dave

Support

Please reach out to [e-mail]