- Remove legacy static files, templates, and JavaScript
- Update main.go to serve SPA-style web application
- Modify admin route handling to support client-side routing
- Simplify configuration and metrics API endpoints
- Remove server-side template rendering in favor of static file serving
- Update Dockerfile and GitHub Actions to build web frontend
- Change template definition names from "Content" to specific page names
- Modify layout.html to conditionally render templates based on page name
- Ensure consistent template naming across admin page templates
- Update template rendering to use a dynamic layout with configurable title
- Modify template parsing to use template.Must for simplified error handling
- Update static file serving path from /web/static to /admin/static
- Improve template execution with dynamic content mapping
- Simplify template loading and error management in main.go
- Replace static file serving with Go template rendering
- Add template parsing for login, metrics, and config pages
- Set appropriate content type headers for HTML responses
- Improve error handling for template rendering
- Enhance logging for template-related errors
- Modify Dockerfile to copy web directory into /app
- Update main.go to serve static and template files from absolute paths (/app/web)
- Add debug logging for static file and template route handling
- Ensure consistent file serving across admin and web routes
- Increase connection pool and idle connection limits
- Extend timeout durations for more robust network handling
- Configure HTTP/2 transport with enhanced performance settings
- Add HTTP/2-specific optimizations and security constraints
- Modify error response writing to use explicit WriteHeader and Write methods
- Remove redundant WriteHeader call in ServeHTTP method
- Add WriteHeader before writing response for both small and large responses
- Enhance code readability and error handling consistency
- Add responsive admin layout with navigation menu
- Convert login page to use layout template system
- Integrate Tailwind CSS and DaisyUI for styling
- Add authentication check script in layout
- Eliminated the historical data storage and related functions from the metrics collector to simplify the codebase.
- Removed the historical data display section from the metrics template, enhancing clarity and focus on current metrics.
- Updated the CheckDataConsistency method to implement a simpler validation check for total errors against total requests.
These changes improve the maintainability of the metrics system by removing outdated features and ensuring a more straightforward data validation process.
- Removed the MetricsHistoryHandler and associated historical data export functionality to streamline the metrics handling process.
- Updated the metrics template to improve label translations and ensure default values are used for optional data fields.
- Enhanced the JavaScript code for metrics display by adding checks for undefined data arrays, improving robustness.
- Cleaned up unused variables and functions to maintain code clarity and reduce complexity.
These changes simplify the metrics system by eliminating outdated features and improving the overall reliability of data presentation.
- Introduced safe type conversion functions to handle nil values gracefully, ensuring metrics integrity.
- Updated the MetricsHandler to return default values for metrics when stats retrieval fails, enhancing reliability.
- Streamlined the metrics initialization process by ensuring all necessary fields are populated, even in error scenarios.
- Improved memory usage reporting and response time metrics for better performance insights.
These changes enhance the robustness of the metrics system, ensuring accurate data handling and improved monitoring capabilities.
- Added new performance monitoring settings in the configuration, including maximum requests per minute and data transfer limits.
- Introduced validation parameters for metrics, ensuring data integrity and consistency checks during collection.
- Refactored the metrics collector to streamline initialization and improve error handling.
- Removed deprecated database-related code and optimized metrics saving processes.
- Enhanced historical data management with regular clean-up routines to maintain performance.
These changes improve the configurability and reliability of the metrics system, ensuring accurate data handling and enhanced monitoring capabilities.
- Refactored the GetStats method to improve memory management by utilizing an object pool for stats initialization.
- Enhanced error rate calculation and added average response time metrics for better performance insights.
- Streamlined path and referer statistics collection, ensuring only relevant data is processed and displayed.
- Improved sorting and selection logic for top paths and referers, enhancing the clarity of metrics reporting.
- Updated comments for better code readability and understanding of the metrics collection process.
These changes enhance the efficiency and accuracy of the metrics collector, providing more reliable performance data and insights.
- Improved the initialization sequence by clearly defining steps for cache, monitoring, and object pool setup.
- Enabled Feishu webhook alerts for real-time notifications based on configuration.
- Ensured last save time is set during initialization to maintain accurate data persistence.
- Streamlined historical data loading process to enhance metrics accuracy.
These changes improve the organization and functionality of the metrics collector, ensuring better performance and alerting capabilities.
- Added cache initialization to enhance performance and data retrieval efficiency.
- Introduced an object pool for managing statistics, optimizing memory usage during metrics processing.
- Improved code organization by clarifying initialization steps for cache and monitoring components.
These changes enhance the metrics collector's efficiency and resource management, ensuring better performance in data handling.
- Added initialization of last save time during collector setup to ensure timely data persistence.
- Implemented immediate saving of metrics after loading historical data to maintain accurate statistics.
- Improved error handling in SaveMetrics by validating input types before updating persistent stats.
- Modified CheckDataConsistency logic to allow for a tolerance of 5% in total request comparisons, enhancing reliability in metrics validation.
These changes improve the accuracy and reliability of the metrics collection process, ensuring better monitoring and data integrity.
- Added new configuration structures for loading, saving, and validation settings in MetricsConfig.
- Introduced constants for load retry counts, intervals, and validation parameters to improve configurability.
- Enhanced metrics collector with data validation and consistency checks during metrics loading.
- Implemented backup and restore functionality for metrics data, ensuring data integrity and recoverability.
- Improved logging for metrics operations, providing better insights into the metrics collection process.
These changes enhance the flexibility and reliability of the metrics system, ensuring accurate data handling and improved monitoring capabilities.
- Added new performance monitoring thresholds for maximum requests and data transfer rates.
- Introduced dynamic save interval adjustments based on data change rates to optimize database writes.
- Implemented a retry mechanism for loading recent statistics, improving reliability in data retrieval.
- Consolidated metrics saving into a single method, SaveAllMetrics, to streamline database transactions and improve performance.
- Enhanced error handling and logging throughout the metrics collection process for better monitoring.
These changes improve the efficiency and reliability of the metrics system, ensuring more accurate and timely data collection.
- Replaced the deprecated loadRecentStatusStats function with a new LoadRecentStats method in the MetricsDB, consolidating recent statistics loading for status codes, paths, and referers.
- Improved error handling and logging for loading recent stats, enhancing monitoring capabilities.
- This refactor simplifies the codebase and improves the efficiency of metrics collection, ensuring more accurate and timely data retrieval.
- Updated CSS styles for the metrics dashboard, improving layout with flex properties and enhanced item presentation.
- Modified the status code display to use a more organized structure, allowing for better alignment and spacing.
- Changed the data type for avgLatency in SaveMetrics to int64 for consistency.
- Implemented a context with timeout for database queries in GetRecentMetrics, improving performance and reliability.
- Optimized SQL queries to limit result sets and enhance data retrieval efficiency.
These changes improve the user experience and data presentation in the metrics dashboard, providing clearer insights into performance metrics.
- Changed text color in the metrics dashboard from white to black for better visibility.
- Modified the layout of status codes to display in a row with improved alignment and spacing.
- Enhanced CSS styles for the metrics dashboard, including adjustments to flex properties and background settings.
- Updated SQL query in GetRecentMetrics to sort status codes, ensuring a more organized display of metrics.
These changes improve the user experience and data presentation in the metrics dashboard, providing clearer insights into performance metrics.
- Implemented a new function to load recent status statistics from the database, enhancing the collector's ability to track real-time metrics.
- Added error logging for failed status stats loading to improve monitoring and debugging capabilities.
- Moved database transaction optimization settings outside of the transaction scope in SaveMetrics, improving performance during metric saving operations.
- Updated SQL queries in GetRecentMetrics to streamline time filtering logic, ensuring accurate retrieval of recent metrics.
These changes enhance the metrics collection process and improve the overall performance and reliability of the metrics dashboard.
- Enhanced CSS styles for the metrics dashboard, improving layout and visual presentation with new flex properties and background adjustments.
- Modified the SQL query in GetRecentMetrics to include an additional interval parameter, ensuring more accurate data retrieval for recent metrics.
- These changes improve the user experience and data accuracy in the metrics dashboard, providing a more robust framework for performance monitoring.
- Introduced new constants for data retention periods, specifying retention for metrics, status codes, paths, and referers to improve data management.
- Updated the MetricsHistoryHandler to accept floating-point hours for more precise time queries, enhancing the flexibility of historical data retrieval.
- Enhanced the metrics dashboard layout with additional CSS styles for better visual presentation and user experience.
- Improved error handling in the response writing process to ensure robust logging of connection issues.
- Implemented a new function to check for connection closure errors, improving the reliability of the proxy handler.
These changes significantly enhance the metrics collection, retention, and user interface, providing a more robust framework for performance monitoring and data analysis.
- Improved the metrics dashboard layout with new styles for better visual presentation, including enhanced chart and control elements.
- Added functionality for auto-refreshing metrics and exporting data to CSV, improving user interaction and data accessibility.
- Implemented persistent statistics tracking in the collector, allowing for historical data retrieval and better performance monitoring.
- Enhanced database operations with optimizations for saving metrics and cleaning up old data, ensuring efficient data management.
- Introduced performance metrics tracking, providing insights into average response times and throughput.
These changes significantly enhance the usability and functionality of the metrics dashboard, providing a more robust framework for performance monitoring and data analysis.
- Updated the SQL query in GetRecentMetrics to adjust the time filtering logic, ensuring that only metrics within the specified hours are retrieved.
- This change enhances the accuracy of the metrics data by correctly bounding the time range, improving the reliability of performance monitoring.
