- Introduced a `ProcessingMode` enum to differentiate between basic and premium processing modes.
- Updated `EtlRequest` to include a `processing_mode` field, defaulting to basic.
- Enhanced ETL pipeline services to utilize the selected processing mode for Azure Document Intelligence and LlamaCloud parsing.
- Modified various routes and services to handle processing mode, affecting document upload and indexing tasks.
- Improved error handling and logging to include processing mode details.
- Added tests to validate processing mode functionality and its impact on ETL operations.
- 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.
- 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.
- Refactored Linear and Notion indexers to utilize the shared IndexingPipelineService for improved document deduplication, summarization, chunking, and embedding with bounded parallel indexing.
- Updated the `_build_connector_doc` function in both indexers to create ConnectorDocument instances with enhanced metadata and fallback summaries.
- Modified the `index_linear_issues` and `index_notion_pages` 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.
