Linting Fix for Code
2025-03-124 turns4,808 charsgpt-4o-mini
Summary
User was trying to fix Python linting errors and runtime issues in a text chunking function.
Messages
fix the linting on :
def chunk_text(text, chunk_size=1000, overlap=100):
"""Split text into overlapping chunks."""
chunks = []
for i in range(0, len(text), chunk_size - overlap):
chunk = text[i:i + chunk_size]
chunks.append(chunk)
return chunks
# Use in extract_info:
def extract_info(text: str, info_type: str) -> Dict[str, Any]:
chunks = chunk_text(text)
all_information = []
client = OllamaClient(model_name="mistral")
for chunk in chunks:
prompt = f"""
Extract all {info_type} from the following text.
Return ONLY a JSON array with the items.
TEXT:
{chunk}
JSON ARRAY OF {info_type.upper()}:
"""
# Process chunk and collect results...
# [implementation details]
# Deduplicate and return results
return {"information": list(set(all_information))}
To fix the linting issues in the provided code, I will ensure proper indentation, docstrings, and the use of type hints where appropriate. Here's the corrected code:
```python
from typing import Dict, Any
def chunk_text(text: str, chunk_size: int = 1000, overlap: int = 100) -> list:
"""Split text into overlapping chunks."""
chunks = []
for i in range(0, len(text), chunk_size - overlap):
chunk = text[i:i + chunk_size]
chunks.append(chunk)
return chunks
def extract_info(text: str, info_type: str) -> Dict[str, Any]:
"""Extract information of the specified type from the text."""
chunks = chunk_text(text)
all_information = []
client = OllamaClient(model_name="mistral")
for chunk in chunks:
prompt = f"""
Extract all {info_type} from the following text.
Return ONLY a JSON array with the items.
TEXT:
{chunk}
JSON ARRAY OF {info_type.upper()}:
"""
# Process chunk and collect results...
# [implementation details]
# Deduplicate and return results
return {"information": list(set(all_information))}
```
### Changes made:
1. **Indentation**: Fixed inconsistent indentation for the `for` loop and other parts of the code.
2. **Type hinting**: Added a return type hint (`-> list`) for the `chunk_text` function and `-> Dict[str, Any]` for `extract_info`.
3. **Docstrings**: Included docstrings to provide clarity on the purpose of each function.
4. **Line spacing**: Added some line breaks for readability.
This should resolve the linting issues.
gpt-4o-mini
-python % python3 main.py
Traceback (most recent call last):
File "/Users/danielkliewer/openaiagents01/openai-agents-python/main.py", line 1, in <module>
from document_agent import create_document_agent
File "/Users/danielkliewer/openaiagents01/openai-agents-python/document_agent.py", line 10, in <module>
from agent_adapter import Agent
File "/Users/danielkliewer/openaiagents01/openai-agents-python/agent_adapter.py", line 2, in <module>
from openai_agents.agent import Agent
ModuleNotFoundError: No module named 'openai_agents'
(3.10.0) danielkliewer@Daniels-MacBook-Pro openai-agents-python %
It looks like you're encountering a `ModuleNotFoundError` because the `openai_agents` module is not found. This could be due to a missing or incorrect module installation. Here's how to address it:
### Steps to troubleshoot and fix:
1. **Check if `openai_agents` is installed**:
Ensure that the required module is installed. Run this command to install it:
```bash
pip install openai-agents
```
2. **Check your PYTHONPATH**:
If the module is installed but still not found, it might be due to an issue with your Python environment's search path. You can print out the current PYTHONPATH by running:
```bash
import sys
print(sys.path)
```
If the path where `openai_agents` is installed isn't included in `sys.path`, you might need to adjust it or activate the correct virtual environment.
3. **Activate the virtual environment**:
If you're using a virtual environment, make sure it is activated. For example, if you are using `venv`:
```bash
source venv/bin/activate # On macOS/Linux
```
Or on Windows:
```bash
venv\Scripts\activate
```
4. **Check the module import path**:
If the module is part of your local code (i.e., not installed via pip), ensure that the path to `openai_agents` is correct. If it's located in a different directory, you might need to adjust the import path or add the directory to the `PYTHONPATH`.
Example to add the module path directly in your code:
```python
import sys
sys.path.append('/path/to/openai_agents')
```
5. **Verify the folder structure**:
Ensure that the folder structure is correct and that the `openai_agents` folder exists and is accessible from the location where you are running the code.
Try these steps and let me know if the issue persists!
gpt-4o-mini