Open muhammadshera71 opened 1 month ago
Hey @muhammadshera71! 👋 I'm here to help you with bug fixes, questions, and becoming a contributor. Let's tackle this challenge together!
To resolve the JSONDecodeError
when using the agent.chat
method with the 'text' output type, you can use the validate_and_convert_json
method in the SemanticAgent
class. This method ensures that JSON strings are properly validated and converted, which can help prevent errors during processing.
Here's a basic approach:
Validate and Convert JSON:
Use the validate_and_convert_json
method to ensure your JSON data is correctly formatted. This method will attempt to load JSON strings and convert dictionaries to JSON strings, raising an exception if validation fails.
Error Handling: Implement error handling to catch and manage exceptions, allowing you to address issues with malformed JSON.
Here's an example:
from pandasai.ee.agents.semantic_agent import SemanticAgent
import pandas as pd
# Example DataFrame
df = pd.DataFrame({'column1': [1, 2], 'column2': ['a', 'b']})
# Initialize the SemanticAgent
agent = SemanticAgent(dfs=[df])
# Example JSON data
json_data = ['{"key": "value"}', '{"another_key": "another_value"}']
# Validate and convert JSON
try:
valid_jsons = agent.validate_and_convert_json(json_data)
print("Validated JSONs:", valid_jsons)
except Exception as e:
print("Error validating JSON:", e)
This setup will help in automatically validating and converting JSON data, reducing the likelihood of encountering JSONDecodeError
[1][2][3].
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While working with Semantic Agents, I want the output in text format. However, I am facing the following error. What can I do to get the output in text using Semantic Agents?
raise JSONDecodeError("Expecting value", s, err.value) from None json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)