Ensure proper date subtraction by converting `date_zero` to a date object before calculating the `amount`. This prevents potential errors in date operations and ensures accurate date range handling.
Enhanced the data initialization process to include p2pool and daily data updates, improving the comprehensiveness of data management. With this change, more data components are maintained accurately, addressing potential omissions in daily operations. This helps ensure up-to-date information is available for analysis.
Introduced a new management command to initialize the database with current data for specified cryptocurrencies (`xmr`, `btc`, `dash`, `zec`, `grin`). This process involves deleting existing data entries and fetching updated historical and market data. This enhancement ensures the application starts with the most recent information, improving data accuracy and reliability.
Add *.sqlite3-journal to .gitignore to prevent SQLite journal files from being tracked by version control. This helps in maintaining a cleaner repository by excluding temporary files generated during database transactions.
Replaced the use of Google Sheets (pygsheets and related
dependencies) with local .ods file processing using Pandas.
This simplifies the data handling by removing external
dependencies and streamlining updates directly within .ods files.
Fixes issues related to reliance on Google API and enhances
performance by processing data locally.
Replaced the integration with Google Sheets for data storage with using locally managed ODS files. This change simplifies data handling by leveraging Pandas to read and write the ODS format, reducing dependencies such as pygsheets. This transition enhances maintainability and autonomy of the data management processes.
Updated file paths to use `BASE_DIR` from Django settings instead of hardcoded paths. This change enhances flexibility and simplifies configuration management as file paths are now dynamically resolved relative to the project base directory.
Replaced pygsheets-based Google Sheets handling with pandas to read and write to local Excel files. Updated exception handling to include `TypeError`. This change enhances performance and reliability by avoiding network dependencies and directly interacting with local files.
Fixes issues with unauthorized access and inefficient data handling.
Replaced pygsheets with pandas and removed dependency on Google Sheets for data extraction, leveraging local spreadsheet files instead. This improves reliability and simplifies setup by avoiding external API dependencies. Updated code to handle data conversion and string checks ensuring data consistency. Adjusted settings to accommodate new input file.
Switch to a lighter, more recent Python 3.12-slim base image to reduce image size and leverage the latest Python features and improvements. This change removes the need for additional locale configuration, simplifying the Dockerfile.
Introduced a TODO comment indicating the need to fix the current use of the Reddit API in `synchronous.py`. The placeholder set due to the unavailability of `PushshiftAPI` ensures the application avoids runtime errors. This change communicates the need for further attention to this part of the codebase.
Replaced `Path.rename` with `shutil.move` to handle the database file relocation. This change accommodates cross-filesystem moves, improving robustness in environments where the source and destination may reside on different filesystems. No changes to database access or usage logic have been made.
Applied consistent use of double quotes for strings across the codebase to improve readability and maintain consistency. Updated exception handling to explicitly catch specific exceptions for better error management. Refactored context and view functions for cleaner and more structured output. Removed unused imports and unnecessary comments to streamline the code.
- Add '.vscode/' to '.gitignore' to exclude editor settings.
- Improve readability by converting single quotes to double quotes and reformatting long lines in Django settings and URLs.
- Relocate the SQLite database path to a more standard location.
- Enhance environment flexibility by adding dynamic handling for allowed hosts.
- Remove deprecated database dependency in requirements.
These updates enhance code clarity and maintainability, and prepare the codebase for potential migration to a more dynamic server configuration setup.
Reduced version restrictions for several Google-related packages, changing them to allow any version less than 3.0.0. This change provides more flexibility and avoids potential dependency conflicts with future updates. Consider revisiting the need to pin dependencies so strictly.
Updated several library versions to their latest stable releases and added TODO comments for future version upgrades. Cleaned up the dependencies list by removing some indirect dependencies. Noted potential improvements regarding dependency pinning and project dependency structure, including suggestions for less strict pinning and reevaluating certain dependencies. Consider cleaning up obsolete or redundant dependencies in further refinements.
Added several additional models to the Django admin interface, enhancing manageability and oversight for admins. This allows for streamlined administration of Dominance, P2Pool, Rank, Sfmodel, Social, and Withdrawal models. This update supports improved efficiency in monitoring and editing these entities.
Replaced specific username checks for "Administrator" with `is_superuser`
attribute to determine admin access. This improves security and flexibility
by leveraging Django's built-in permissions and roles system, facilitating
maintenance and potential role adjustments without code changes.
Add the Coin model to the Django admin interface for easier management of coin data through the admin panel. This provides administrators with a graphical interface to directly view, edit, and maintain instances of the Coin model within the application.
Upgraded requests to 2.32.3, six to 1.16.0, and urllib3 to 2.2.3 to incorporate the latest security patches and performance improvements. These updates ensure compatibility with newer libraries and enhance the overall stability of the application. No breaking changes are expected.
Upgraded various dependencies to their latest versions, including aiohttp, frozenlist, multidict, pandas, python-dateutil, and yarl. These updates assure compatibility with Python 3.12 and may include performance enhancements and bug fixes.
