How to Build an ETL App for SAP Ariba Procurement Data in Python with CData

The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively. With the CData Python Connector for SAP Ariba Procurement and the petl framework, you can build SAP Ariba Procurement-connected applications and pipelines for extracting, transforming, and loading SAP Ariba Procurement data. This article shows how to connect to SAP Ariba Procurement with the CData Python Connector and use petl and pandas to extract, transform, and load SAP Ariba Procurement data.

With built-in, optimized data processing, the CData Python Connector offers unmatched performance for interacting with live SAP Ariba Procurement data in Python. When you issue complex SQL queries from SAP Ariba Procurement, the driver pushes supported SQL operations, like filters and aggregations, directly to SAP Ariba Procurement and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Connecting to SAP Ariba Procurement Data

Connecting to SAP Ariba Procurement data looks just like connecting to any relational data source. Create a connection string using the required connection properties. For this article, you will pass the connection string as a parameter to the create_engine function.

In order to connect with SAP Ariba Procurement, set the following:

• ANID: Your Ariba Network ID.
• ANID: Specify which API you would like the provider to retrieve SAP Ariba data from. Select the Buyer or Supplier API based on your business role (possible values are PurchaseOrdersBuyerAPIV1 or PurchaseOrdersSupplierAPIV1).
• Environment: Indicate whether you are connecting to a test or production environment (possible values are TEST or PRODUCTION).

Authenticating with OAuth

After setting connection properties, you need to configure OAuth connectivity to authenticate.

• Set AuthScheme to OAuthClient.
• Register an application with the service to obtain the APIKey, OAuthClientId and OAuthClientSecret.

  For more information on creating an OAuth application, refer to the Help documentation.

Automatic OAuth

After setting the following, you are ready to connect:

APIKey: The Application key in your app settings. OAuthClientId: The OAuth Client Id in your app settings. OAuthClientSecret: The OAuth Secret in your app settings.

When you connect, the provider automatically completes the OAuth process:

1. The provider obtains an access token from SAP Ariba and uses it to request data.
2. The provider refreshes the access token automatically when it expires.
3. The OAuth values are saved in memory relative to the location specified in OAuthSettingsLocation.

After installing the CData SAP Ariba Procurement Connector, follow the procedure below to install the other required modules and start accessing SAP Ariba Procurement through Python objects.

Install Required Modules

Use the pip utility to install the required modules and frameworks:

pip install petl
pip install pandas

Build an ETL App for SAP Ariba Procurement Data in Python

Once the required modules and frameworks are installed, we are ready to build our ETL app. Code snippets follow, but the full source code is available at the end of the article.

First, be sure to import the modules (including the CData Connector) with the following:

import petl as etl
import pandas as pd
import cdata.saparibaprocurement as mod

You can now connect with a connection string. Use the connect function for the CData SAP Ariba Procurement Connector to create a connection for working with SAP Ariba Procurement data.

cnxn = mod.connect("ANID=AN02000000280;API=PurchaseOrdersBuyerAPI-V1;APIKey=wWVLn7WTAXrIRMAzZ6VnuEj7Ekot5jnU;AuthScheme=OAuthClient;InitiateOAuth=GETANDREFRESH;")

Create a SQL Statement to Query SAP Ariba Procurement

Use SQL to create a statement for querying SAP Ariba Procurement. In this article, we read data from the Orders entity.

sql = "SELECT DocumentNumber, Revision FROM Orders WHERE OrderStatus = 'CHANGED'"

Extract, Transform, and Load the SAP Ariba Procurement Data

With the query results stored in a DataFrame, we can use petl to extract, transform, and load the SAP Ariba Procurement data. In this example, we extract SAP Ariba Procurement data, sort the data by the Revision column, and load the data into a CSV file.

Loading SAP Ariba Procurement Data into a CSV File

table1 = etl.fromdb(cnxn,sql)

table2 = etl.sort(table1,'Revision')

etl.tocsv(table2,'orders_data.csv')

With the CData Python Connector for SAP Ariba Procurement, you can work with SAP Ariba Procurement data just like you would with any database, including direct access to data in ETL packages like petl.

Free Trial & More Information

Download a free, 30-day trial of the CData Python Connector for SAP Ariba Procurement to start building Python apps and scripts with connectivity to SAP Ariba Procurement data. Reach out to our Support Team if you have any questions.

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Full Source Code

import petl as etl
import pandas as pd
import cdata.saparibaprocurement as mod

cnxn = mod.connect("ANID=AN02000000280;API=PurchaseOrdersBuyerAPI-V1;APIKey=wWVLn7WTAXrIRMAzZ6VnuEj7Ekot5jnU;AuthScheme=OAuthClient;InitiateOAuth=GETANDREFRESH;")

sql = "SELECT DocumentNumber, Revision FROM Orders WHERE OrderStatus = 'CHANGED'"

table1 = etl.fromdb(cnxn,sql)

table2 = etl.sort(table1,'Revision')

etl.tocsv(table2,'orders_data.csv')