formatted_response = [] # Loop over each date key in the response for date, records in response_data.items(): # Loop over each record for that date for record in records: # Add the 'date' field into each record and spread the rest of the fields formatted_response.append({ "date": date, # Insert the date field **record # Spread other fields (contactsPerPageview, returningVisits, etc.) }) return formatted_response how to insert this code in yaml file @kapa.ai

The code you provided is written in Python and it seems like you're trying to transform your data by adding a new field to each record. In Airbyte, you can achieve similar functionality using the

AddFields

transformation in the YAML file. However, you cannot directly insert Python code into a YAML file. Here's an example of how you can add a new field using the

AddFields

transformation in the YAML file:

yaml stream:     <...>     transformations:         - type: AddFields           fields:             - path: [ "new_field" ]               value: "static_value"

In this example, a new field named "new_field" is added with a static value "static_value". If you want to add a dynamic value, you would need to use the appropriate reference in the

value

field. Please note that the transformation capabilities in Airbyte might not be as flexible as writing custom Python code. If you need more complex transformations, you might need to perform them in your destination data warehouse or use a tool that supports more complex data transformations. For more information, you can refer to the [Airbyte documentation on transformations](https://docs.airbyte.com/connector-development/config-based/understanding-the-yaml-file/record-selector#transformations) and [adding fields](https://docs.airbyte.com/connector-development/config-based/understanding-the-yaml-file/record-selector#adding-fields).

just update the python code into yaml and get me the file please @kapa.ai

A message from kapa.ai

I'm sorry for any confusion, but it's not possible to directly insert Python code into a YAML file. YAML is a data serialization language that is often used for configuration files, while Python is a high-level programming language. They serve different purposes and have different syntaxes. If you're trying to configure an Airbyte connector using the Low-Code CDK, you would need to define your connector's behavior using the YAML syntax. This includes defining the streams, the connection checker, and the connector spec. Here's a basic example:

yaml version: "0.1.0" definitions:     <key-value pairs defining objects which will be reused in the YAML connector> streams:     <list stream definitions> check:     <definition of connection checker> spec:     <connector spec>

(Source: [Low-code connector development](https://docs.airbyte.com/connector-development/config-based/low-code-cdk-overview#configuring-the-yaml-file)) If you need to perform complex data transformations like the Python code you provided, you might need to do this in your destination data warehouse or use a tool that supports more complex data transformations. If you can provide more details about what you're trying to achieve, I might be able to give a more specific answer.