Field descriptions not seemed by used by agent and connector

[metalshanked]

Field descriptions not seemed by used by agent and connector

[dosubot]

To ensure that the field descriptions are properly utilized by the agent and connector in your application, you need to define a field_descriptions dictionary and pass it as an argument when initializing the connector. Here is how you can do it:

1. Define the field_descriptions dictionary with the field names and their corresponding descriptions.
2. Pass this dictionary to the connector during its initialization.

Here is an example:

field_descriptions = {
    'datetime_utc': 'Column representing the starting time period for the measurement value in a datetime format with timezone as UTC'
}

# Example using a pandas connector
import pandas as pd
from pandasai.connectors import PandasConnector
from pandasai import SmartDataframe

df = pd.DataFrame({
    'datetime_utc': ['2023-01-01T00:00:00Z', '2023-01-02T00:00:00Z']
})

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

response = agent.chat("What is the datetime in UTC?")
print(response)

Additionally, you can ensure that the agent properly utilizes these field descriptions by writing unit tests. For example, you can create tests to verify that the agent correctly interprets and uses the field descriptions when generating and executing code. Here is a simplified example of how you might write such a test:

import pytest
from pandasai.agent import Agent
from pandasai.llm.fake import FakeLLM

@pytest.fixture
def sample_df():
    return pd.DataFrame({
        'datetime_utc': ['2023-01-01T00:00:00Z', '2023-01-02T00:00:00Z']
    })

@pytest.fixture
def llm():
    return FakeLLM(output="2023-01-01T00:00:00Z")

@pytest.fixture
def agent(sample_df, llm):
    config = {"llm": llm}
    return Agent(sample_df, config)

def test_agent_uses_field_descriptions(agent):
    response = agent.chat("What is the datetime in UTC?")
    assert response == "2023-01-01T00:00:00Z"

By following these steps and incorporating unit tests, the field descriptions will be properly utilized by the agent and connector in your application.

The BaseConnector class in the pandasai library supports the use of field_descriptions as an argument during initialization. This ensures that the field descriptions are integrated into the connector's configuration and can be utilized by the agent for better data interpretation and interaction ^[1][2][3].

Details

About Dosu
This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

To continue the conversation, mention @dosu.