Apply the same rename to surfsense_backend/tests: workspace_id fields/vars,
Workspace* classes/schemas, table name searchspaces -> workspaces in raw SQL,
and the API URL spellings -> /workspaces. Preserves the carve-out wire literals
tests assert (Celery task names, OTel key "search_space.id").
Phase 1 (rename DB) commit 1a: shim every search_space_id /
owner_search_space_id column to the renamed physical column
(workspace_id / owner_workspace_id) via Column("workspace_id", ...),
keeping the ORM attribute name unchanged so existing callers are
untouched. Flip all Table-level references that resolve by column key
(inner __table_args__ strings, the ck_connections_scope_owner CHECK
text, and the _INDEX_DEFINITIONS runtime DDL) plus the searchspace-named
constraint/index names to workspace_id. Update the three raw-SQL test
fixtures that referenced the physical column.
Note: SQLAlchemy defaults a column's key to its name, so passing an
explicit "workspace_id" name moves the Table.c key to workspace_id;
Table-level string refs must therefore change in this phase (the
opposite of the original plan's finding 1). The ORM attribute, the
SearchSpace class, relationships, table names, and FK target strings are
intentionally left for later commits/Phase 2.
Verified: unit 2375 passed/1 skip, integration 346 passed (baseline
parity); create_all builds every table with workspace_id.
- Updated environment variables and - configurations for credit purchases via Stripe, replacing legacy page pack system.
- Introduced auto-reload feature for credit top-ups and modified database models to track credit transactions.
- Updated notification system to handle insufficient credits and auto-reload failures.
- Adjusted API routes and schemas to reflect changes in credit management.
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- 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.
- 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 should_summarize parameter in TaskDispatcher and CeleryTaskDispatcher to control summary generation.
- Updated InlineTaskDispatcher to support the new parameter for document processing.
- Introduced a TaskDispatcher abstraction to decouple the upload endpoint from Celery, allowing for easier testing with synchronous implementations.
- Updated the create_documents_file_upload function to utilize the new dispatcher for task management.
- Removed direct Celery task imports from the upload function, enhancing modularity.
- Added integration tests for document upload, including page limit enforcement and file size restrictions.
