The field_descriptions is a dictionary attribute of the BaseConnector class. It is used to provide additional information or descriptions about each individual field in the data source. This can be useful for providing context or explanations for the data in each field, especially when the field names themselves are not self-explanatory.

Here’s an example of how you might use field_descriptions:

field_descriptions = {

    'user_id': 'The unique identifier for each user',

    'payment_id': 'The unique identifier for each payment',

    'payment_provider': 'The payment provider used for the payment (e.g. PayPal, Stripe, etc.)'

}

In this example, user_id, payment_id, and payment_provider are the names of the fields in the data source, and the corresponding values are descriptions of what each field represents.

When initializing a BaseConnector instance (or any other connector), you can pass in this field_descriptions dictionary as an argument:

connector = BaseConnector(config, name='My Connector', field_descriptions=field_descriptions)

Another example using a pandas connector:

import pandas as pd

from pandasai.connectors import PandasConnector

from pandasai import SmartDataframe



df = pd.DataFrame({

    'user_id': [1, 2, 3],

    'payment_id': [101, 102, 103],

    'payment_provider': ['PayPal', 'Stripe', 'PayPal']

})

connector = PandasConnector({"original_df": df}, field_descriptions=field_descriptions)

sdf = SmartDataframe(connector)

sdf.chat("What is the most common payment provider?")

# Output: PayPal

Was this page helpful?

Custom HeadTrain PandasAI