Anish Sarkar 4fd776e7ef feat: implement parallel indexing for Google Calendar and Gmail connectors ... - Refactored Google Calendar and Gmail indexers to utilize the new `index_batch_parallel` method for concurrent document indexing, enhancing performance. - Updated the indexing logic to replace serial processing with parallel execution, allowing for improved efficiency in handling multiple documents. - Adjusted logging and error handling to accommodate the new parallel processing approach, ensuring robust operation during indexing. - Enhanced unit tests to validate the functionality of the parallel indexing method and its integration with existing workflows.		2026-03-26 19:34:04 +05:30
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__init__.py	test: bootstrap pytest environment for backend	2026-02-24 18:19:56 +02:00
conftest.py	feat: enhance performance logging and caching in various components	2026-02-26 13:00:31 -08:00
test_connector_document.py	test: mark test_connector_document.py with unit pytest marker	2026-03-08 02:53:47 +05:30
test_document_chunker.py	add docstrings to all indexing pipeline tests	2026-02-25 20:30:31 +02:00
test_document_hashing.py	feat: enhance Google connectors indexing with content extraction and document migration	2026-03-25 18:33:44 +05:30
test_document_summarizer.py	feat: enhance performance logging and caching in various components	2026-02-26 13:00:31 -08:00
test_index_batch.py	feat: add integration tests for indexing pipeline components	2026-03-25 18:34:02 +05:30
test_index_batch_parallel.py	feat: implement parallel indexing for Google Calendar and Gmail connectors	2026-03-26 19:34:04 +05:30
test_migrate_legacy_docs.py	feat: add integration tests for indexing pipeline components	2026-03-25 18:34:02 +05:30