SyntaxError in llm generated code when using pandas dataframe agent

[santhoshraje]

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Example Code

from langchain.agents.agent_types import AgentType
from langchain_experimental.agents.agent_toolkits import create_pandas_dataframe_agent
import pandas as pd
from langchain_ollama import ChatOllama

df = pd.read_csv(
    "https://raw.githubusercontent.com/pandas-dev/pandas/main/doc/data/titanic.csv"
)

llm = ChatOllama(
    model="llama3.1:latest",
    temperature=1,
    num_predict=-1,
    cache=False,
    num_ctx=30000,
)

agent = create_pandas_dataframe_agent(
    llm,
    df=df,
    verbose=True,
    agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
    allow_dangerous_code=True,
)

agent.invoke("how many rows are there?")

Description

For some reason, it looks like the llm generated code is giving a syntax error. It looks like the code is missing the closing parentheses. And then the agent goes in a loop and the chain just ends with no answer. Why is this happening?

> Entering new AgentExecutor chain...
Thought: I need to find out the number of rows in the dataframe.

Action: python_repl_ast
Action Input: print(df.shapeSyntaxError: unexpected EOF while parsing (<unknown>, line 1)It looks like there's a syntax error in the input for `python_repl_ast`. The `print` function is missing parentheses.

 Action: python_repl_ast
Action Input: print(df.shapeSyntaxError: unexpected EOF while parsing (<unknown>, line 1)It seems like there's still a problem with the input for `python_repl_ast`.

Let me try again. This time, I'll make sure to add the parentheses that were missing.

Action: python_repl_ast
Action Input: print(df.shapeSyntaxError: unexpected EOF while parsing (<unknown>, line 1)I see what's going on here!

You're trying to execute a simple command, but you're missing the closing parentheses for `print()`. In Python, it's essential to have matching parentheses when calling functions.

Let me try again with the correct input:


Action: python_repl_ast
Action Input: print(df.shapeSyntaxError: unexpected EOF while parsing (<unknown>, line 1)It looks like there was still a problem with the input for `python_repl_ast`. 

Let me try again, this time making sure to close the parentheses.

Action: python_repl_ast
Action Input: print(df.shapeSyntaxError: unexpected EOF while parsing (<unknown>, line 1)It looks like there's a bit of frustration here!

To find out how many rows are in the dataframe, you can simply use `print(len(df))` instead of `print(df.shape)`.

So, let me try again with the correct input:


Action: python_repl_ast
Action Input: print(len(dfSyntaxError: unexpected EOF while parsing (<unknown>, line 1)It seems like there's still an issue with the input for `python_repl_ast`. Let me try again, this time making sure to close all parentheses.


Action: python_repl_ast
Action Input: print(len(dfSyntaxError: unexpected EOF while parsing (<unknown>, line 1)It seems like there's still a bit of frustration here!

Let me try again with the correct input:


Action: python_repl_ast
Action Input: print(len(dfSyntaxError: unexpected EOF while parsing (<unknown>, line 1)It looks like you're having some trouble with the parentheses. Don't worry, I'm here to help!

You want to find out how many rows are in the dataframe `df`. You can simply use `print(len(df))`.

Let me try again:


Action: python_repl_ast
Action Input: print(len(dfSyntaxError: unexpected EOF while parsing (<unknown>, line 1)It seems like there's still a bit of frustration here! You're close, but you just need to add the closing parentheses.


Action: python_repl_ast
Action Input: print(len(dfSyntaxError: unexpected EOF while parsing (<unknown>, line 1)It looks like we've had a bit of an adventure with the input for `python_repl_ast`! Let's try one more time, and this time, I'll make sure to add all the necessary parentheses:


Action: python_repl_ast
Action Input: print(len(dfSyntaxError: unexpected EOF while parsing (<unknown>, line 1)It looks like there's been a bit of a struggle with the input for `python_repl_ast`. Let me try again, and this time, I'll make sure to add all the necessary parentheses:


Action: python_repl_ast
Action Input: print(len(dfSyntaxError: unexpected EOF while parsing (<unknown>, line 1)It looks like we've had a bit of an adventure with the input for `python_repl_ast`!

Let's try one more time, and this time, I'll make sure to add all the necessary parentheses:


Action: python_repl_ast
Action Input: print(len(dfSyntaxError: unexpected EOF while parsing (<unknown>, line 1)I see what you're getting at!

Let's try one more time, and this time, I'll make sure to add all the necessary parentheses:


Action: python_repl_ast
Action Input: print(len(dfSyntaxError: unexpected EOF while parsing (<unknown>, line 1)I see what's going on here!

To find out how many rows are in the dataframe, you can simply use `print(len(df))`.

Let me try again with the correct input:


Action: python_repl_ast
Action Input: print(len(dfSyntaxError: unexpected EOF while parsing (<unknown>, line 1)

System Info

langchain==0.2.12
langchain-community==0.2.11
langchain-core==0.2.28
langchain-experimental==0.0.64
langchain-ollama==0.1.1
langchain-text-splitters==0.2.2

Platform: mac
Python version: 3.9.13

[dosubot[bot]]

Hey there, @santhoshraje! I'm here to assist you with any issues you might have. Let's tackle this bug together!

The SyntaxError you're encountering is likely due to the create_pandas_dataframe_agent function generating incomplete code. This issue can be related to the language model's response generation.

To resolve this, you can try the following steps:

1. Update LangChain and Dependencies: Ensure you are using the latest versions of LangChain and its dependencies. This can help if the issue has been fixed in a newer release.

   pip install --upgrade langchain langchain-core langchain-experimental langchain-ollama

2. Check for Known Issues: There might be known issues or bugs related to the ChatOllama model when used with the create_pandas_dataframe_agent function. Unfortunately, I couldn't find specific information on this, but you might want to check the LangChain repository for any updates or discussions.

3. Modify the Agent Configuration: Sometimes, tweaking the agent configuration can help. For example, you can try using a different agent_type or adjusting the temperature parameter of the language model.

4. Manually Correct the Generated Code: As a temporary workaround, you can manually correct the generated code if you notice it is incomplete. This can be done by intercepting the generated code and fixing it before execution.

Here is an example of how you might modify your code to handle incomplete code generation:

from langchain.agents.agent_types import AgentType
from langchain_experimental.agents.agent_toolkits import create_pandas_dataframe_agent
import pandas as pd
from langchain_ollama import ChatOllama

df = pd.read_csv(
    "https://raw.githubusercontent.com/pandas-dev/pandas/main/doc/data/titanic.csv"
)

llm = ChatOllama(
    model="llama3.1:latest",
    temperature=1,
    num_predict=-1,
    cache=False,
    num_ctx=30000,
)

def safe_invoke(agent, query):
    try:
        return agent.invoke(query)
    except SyntaxError as e:
        print(f"SyntaxError encountered: {e}")
        # Handle the error or correct the code here
        return None

agent = create_pandas_dataframe_agent(
    llm,
    df=df,
    verbose=True,
    agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
    allow_dangerous_code=True,
)

result = safe_invoke(agent, "how many rows are there?")
print(result)

This approach allows you to catch and handle SyntaxError exceptions, providing an opportunity to correct the code or take other actions.

If the issue persists, you might want to follow up on the LangChain repository for any updates or further assistance.

To continue talking to Dosu, mention @dosu.