- Added a static method `estimate_pages_from_metadata` to `PageLimitService` for estimating page counts based on file metadata.
- Integrated page limit checks in Google Drive, Dropbox, and OneDrive indexers to prevent exceeding user quotas during file indexing.
- Updated relevant indexing methods to utilize the new page estimation logic and enforce limits accordingly.
- Enhanced tests for page limit functionality, ensuring accurate estimation and enforcement across different file types.
- Updated maximum file size limit to 500 MB per file.
- Removed restrictions on the number of files per upload and total upload size.
- Enhanced handling of user-mentioning documents in the knowledge base search middleware.
- Improved document reading and processing logic to accommodate new features and optimizations.
- Introduced a new utility for parsing .xlsx files into markdown format, enhancing the ability to process Excel documents natively.
- Updated the Google Drive content extractor to utilize the new Excel parsing functionality, allowing for better handling of spreadsheet files.
- Enhanced file type detection and export logic to support various document formats, improving overall content extraction accuracy.
- Added unit tests to ensure the correctness of the new Excel parsing feature and its integration with existing content extraction workflows.
- Modified the `_should_skip_file` function to skip previously failed documents during processing, improving error handling.
- Updated the corresponding test to reflect the new behavior, ensuring that failed documents are correctly identified and skipped during automatic sync.
- Added logging to track the start and end of file download and export processes, improving visibility into execution time.
- Implemented per-thread HTTP transport for concurrent downloads and exports, ensuring thread safety.
- Refactored download and export methods to utilize resolved credentials, enhancing functionality.
- Updated unit tests to validate the new threading and logging features, ensuring robust parallel execution.
- Refactored Confluence and Jira indexers to utilize the shared IndexingPipelineService for improved document processing.
- Updated the `_build_connector_doc` function in both indexers to create ConnectorDocument instances with enhanced metadata and fallback summaries.
- Modified the `index_confluence_pages` and `index_jira_issues` functions to return a tuple of (indexed_count, skipped_count, warning_or_error_message) for better error handling and reporting.
- Added unit tests for both indexers to validate the new parallel processing logic and ensure correct document creation and indexing behavior.
