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Nappai Documentation

Extract Data

This component helps you select only the parts of your data that you need. You provide it with the data and tell it which specific pieces of information to keep, and it will return only that information. It’s like using a magnifying glass to focus on the most important details.

Relationship with Nappai’s Data System

This component works directly with Nappai’s internal data structures. It understands how Nappai stores information and can efficiently extract the data you specify.

Inputs

  • Data: This is the data you want to filter. It can be various types of information that Nappai handles.
  • Extract keys: This is a list of the specific pieces of information you want to keep from your data. You list them here, and the component will only return the data associated with those items. For example, if you have data about customers and you only want their names and email addresses, you would list “name” and “email” here.

Outputs

The component produces a new set of data containing only the information you specified in the “Extract keys” input. This filtered data can then be used by other components in your Nappai workflow. For example, you could use this filtered data to create a report, send an email, or update a database.

Usage Example

Imagine you have customer data with names, addresses, and order history. You only need the customer names and their latest order dates. You would:

  1. Connect your customer data source to the “Data” input.
  2. In the “Extract keys” input, enter ["name", "last_order_date"].
  3. The output will be a new dataset containing only the customer names and their last order dates.

Templates

This component is used in the ‘Eurocup 2024’ template.

  • Categorizer: This component helps you group your data into categories after you’ve extracted the relevant information.
  • Summarizer: Use this to create concise summaries of your extracted data.
  • Google Sheet Writer: Write your extracted data directly to a Google Sheet for easy viewing and analysis.
  • Filter Data Values: This component allows for more complex filtering based on specific values within your data.

Tips and Best Practices

  • Make sure the “Extract keys” you specify actually exist in your input data. If you enter a key that doesn’t exist, the component won’t find it.
  • For complex data structures, it’s helpful to test the component with a small sample of your data first to ensure it’s extracting the correct information.

Security Considerations

This component only accesses and processes the data you provide. It does not have access to any other data within your Nappai system unless explicitly provided through the “Data” input. Ensure your input data does not contain sensitive information that should not be processed or shared.