A dynamic NewsAI dashboard that uses NLP to analyze news articles, visualize sentiment trends, and extract insights through interactive data visualizations.
Is your feature request related to a problem? Please describe.
I often encounter unhandled exceptions across various Python files in the project, leading to crashes and difficulties in debugging. This lack of structured exception handling makes it frustrating to identify and resolve issues, particularly when interacting with external APIs, performing file operations, or connecting to databases.
Describe the solution you'd like
I would like to implement structured exception handling across all Python files. This includes:
Proper logging of exceptions for easier debugging.
User-friendly error messages that guide users on how to resolve issues.
A global error handler to catch unhandled exceptions and prevent crashes.
Specific exception handling for interactions with external APIs, file operations, and database connections.
Describe alternatives you've considered
One alternative is to implement basic try-except blocks around critical sections of code; however, this could lead to inconsistent handling and less informative error reporting. Another option is to use existing libraries for exception handling, but a custom solution tailored to our project's needs would provide better control and consistency.
Additional context
This change will enhance the overall stability and reliability of the application, improving the user experience and making it easier for developers to maintain the code. Considerations should also include the impact on performance and how logging will be managed across different environments.
Is your feature request related to a problem? Please describe.
I often encounter unhandled exceptions across various Python files in the project, leading to crashes and difficulties in debugging. This lack of structured exception handling makes it frustrating to identify and resolve issues, particularly when interacting with external APIs, performing file operations, or connecting to databases.
Describe the solution you'd like
I would like to implement structured exception handling across all Python files. This includes:
Describe alternatives you've considered
One alternative is to implement basic try-except blocks around critical sections of code; however, this could lead to inconsistent handling and less informative error reporting. Another option is to use existing libraries for exception handling, but a custom solution tailored to our project's needs would provide better control and consistency.
Additional context
This change will enhance the overall stability and reliability of the application, improving the user experience and making it easier for developers to maintain the code. Considerations should also include the impact on performance and how logging will be managed across different environments.