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suraj_s
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Welcome back to our series on converting CSV to XML using Groovy! In the previous article, we explored the basics of CSV parsing and constructing XML in SAP Cloud Platform Integration (CPI). Today, we'll take a closer look at a more efficient approach using Groovy's CSVParser and MarkupBuilder.

Before we proceed, I would like to express my gratitude to Morten Wittrock and Raihan Siddiqui for providing valuable feedback and pointing out the limitations in the previous Groovy script. Thanks to their insights, I have updated the script to utilize the MarkupBuilder and CSVParser, which offer improved performance and flexibility.

With the updated script, we can now efficiently parse CSV data and construct XML documents in CPI. The MarkupBuilder provides a convenient way to generate XML content, while the CSVParser enables us to parse CSV records effortlessly.

By leveraging these features, we can enhance the conversion process and handle larger CSV files more efficiently. Let's dive into the updated Groovy script and explore its capabilities.

(Note: Ensure that you have the necessary prerequisites in place, including access to the Groovy script editor in CPI and the Commons CSV Jar file installed on your CPI instance.)

Now, let's proceed with the updated Groovy script that utilizes the MarkupBuilder and CSVParser to convert CSV to XML in SAP CPI.

Prerequisites


Before we dive into the code, make sure you have the following prerequisites in place:

  1. SAP Cloud Platform Integration (CPI) environment:

    • Ensure you have access to an SAP CPI tenant or system where you can develop and deploy integration artifacts.

    • Familiarize yourself with the CPI environment and its features to effectively utilize the Groovy script editor.



  2. Access to Groovy script editor in CPI:

    • Verify that you have the necessary permissions to create and edit Groovy scripts within the CPI environment.

    • If you don't have access, contact your CPI system administrator or the relevant authorities to grant you the required privileges.



  3. 3. Commons CSV Jar file installed on the CPI instance:

    • In order to use the Apache Commons CSV library, you need to ensure that the Commons CSV Jar file is installed in your SAP CPI instance.

    • Contact your system administrator or CPI support team to check if the library is already available.

    • You may need to upload the JAR file into your iflow resource tab.




Note: The Commons CSV library is required for parsing and handling CSV files in the provided Groovy script. Without the library, the script will not work as expected.

By ensuring these prerequisites are met, you will be well-prepared to follow along with the subsequent steps and effectively convert CSV to XML using the Groovy script in SAP CPI.

The Code


To get started, let's take a look at the code snippet that performs the CSV to XML conversion:

import com.sap.gateway.ip.core.customdev.util.Message
import com.sap.it.api.ITApiFactory
import groovy.xml.MarkupBuilder
import org.apache.commons.csv.CSVFormat
import org.apache.commons.csv.CSVParser
import org.apache.commons.csv.CSVRecord

def Message processData(Message message) {
def body = message.getBody(String)

// Define the CSV parser configuration
def csvParser = CSVParser.parse(body, CSVFormat.DEFAULT.withHeader())

// Parse CSV
List<Map<String, String>> parsedData = []
for (CSVRecord record : csvParser) {
Map<String, String> data = [:]
for (String header : csvParser.getHeaderMap().keySet()) {
data[header] = record.get(header)
}
parsedData.add(data)
}

// Create the XML document using Markup Builder

def writer = new StringWriter()
def xml = new MarkupBuilder(writer)

// Create XML using MarkupBuilder
xml.records {
parsedData.each { record ->
recordNode {
record.each { key, value ->
"${key}"(value)
}
}
}
}

def xmlString = writer.toString()

// Set the XML document to the message body
message.setBody(xmlString)

return message
}

Here is the summary of the code:



  1. The CSV parser configuration is defined using the CSVFormat class.

  2. The CSV data is parsed using the CSVParser class, and each record is converted into a map.

  3. The parsed data is stored in a list of maps.

  4. A new StringWriter and MarkupBuilder are created to generate the XML document.

  5. The XML document is created using the MarkupBuilder, looping through the parsed data and adding nodes for each record.

  6. The XML document is converted to a string.

  7. The message body is updated with the XML string.





 



Conclusion


In this article, we explored a more efficient approach to convert CSV to XML using Groovy in SAP Cloud Platform Integration. By leveraging the CSVParser and MarkupBuilder, we can parse CSV data and construct XML with ease.

Feel free to experiment with different CSV formats and customize the code as per your requirements.
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