encountered an issue with the AI News Writer feature. The system successfully generates a news report (as indicated by the success message), but the actual content is not displayed in the UI.
Steps to Reproduce:
Open Alwrity and navigate to AI Writers.
Select Write News Reports.
Enter keywords (e.g., Upcoming AI Trends in 2025).
Select an origin country (e.g., India) and language (e.g., English).
Click Generate News Report.
Changes Made:
Configured logging similar to openai_text_gen.py.
Added retry mechanism using tenacity similar to both openai_text_gen.py and gemini_pro_text.py.
Adapted the API call to use DeepSeek's reasoning.create method.
Handled streaming of responses and error logging.
Function Definitions:
fetch_arxiv_data: Fetches arXiv data based on a query.
create_dataframe: Creates a DataFrame from the provided data.
get_arxiv_main_content: Returns the main content of an arXiv paper.
download_image: Downloads an image from a URL.
scrape_images_from_arxiv: Scrapes images from an arXiv page.
arxiv_bibtex: Generates the BibTeX entry for an arXiv paper.
extract_arxiv_ids_from_line: Extracts arXiv IDs from a given line of text.
read_written_ids: Reads already written arXiv IDs from a file.
append_id_to_file: Appends a single arXiv ID to a file.
Step 2: Suggest Code Improvements
Code Duplication:
Combine Similar Functions: Functions such as fetch_arxiv_data and create_dataframe can be combined or refactored to reduce redundancy.
Reuse Code: Ensure common functionality is abstracted into reusable functions.
Performance and Optimization:
Optimize API Calls: Ensure the arXiv API calls are optimized and handle rate limits.
Efficient Data Handling: Use more efficient data handling techniques, such as batch processing for large datasets.
Coding Standards and Best Practices:
Add Docstrings: Ensure all functions have detailed docstrings explaining their purpose, arguments, and return values.
Error Handling: Improve error handling to provide more informative error messages and handle different types of errors separately.
Logging: Use a consistent logging strategy to log important events and errors.
Code Structure: Group related functions into classes or modules for better organization and maintainability.
PEP 8 Compliance: Ensure the code follows PEP 8 standards for Python code style.
