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SurfSense/surfsense_backend/tests/unit/connector_indexers
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Anish Sarkar db6dd058dd feat: migrate Linear and Notion indexers to unified parallel pipeline 
- 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.
2026-03-27 11:19:32 +05:30
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__init__.py feat: implement parallel file downloading and indexing in Google Drive indexer 2026-03-26 23:53:26 +05:30
conftest.py feat: implement parallel file downloading and indexing in Google Drive indexer 2026-03-26 23:53:26 +05:30
test_google_drive_parallel.py feat: implement batch indexing for selected Google Drive files 2026-03-27 00:17:07 +05:30
test_linear_parallel.py feat: migrate Linear and Notion indexers to unified parallel pipeline 2026-03-27 11:19:32 +05:30
test_notion_parallel.py feat: migrate Linear and Notion indexers to unified parallel pipeline 2026-03-27 11:19:32 +05:30