- TaskType: add EMPTY_TRASH, CHECK_WORKFLOWS, CLEANUP_SHARE_LINKS;
remove INDEX_REBUILD (no backing task — beat schedule uses index_optimize)
- TRACKED_TASKS: wire up all nine task types including the three new ones
and llmindex_index / process_mail_accounts
- Add task_revoked_handler so cancelled/expired tasks are marked REVOKED
- Fix double-write: task_postrun_handler no longer overwrites result_data
when status is already FAILURE (task_failure_handler owns that write)
- v9 serialiser: map EMAIL_CONSUME and FOLDER_CONSUME to AUTO_TASK
- views: scope task list to owner for regular users, admins see all;
validate ?days= query param and return 400 on bad input
- tests: add test_list_admin_sees_all_tasks; rename/fix
test_parses_duplicate_string (duplicates produce SUCCESS, not FAILURE);
use PaperlessTaskFactory in modified tests
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Extract COMPLETE_STATUSES as a class constant on PaperlessTask,
eliminating the repeated status tuple across models.py, views.py (3×),
and filters.py
- Extract _CELERY_STATE_TO_STATUS as a module-level constant instead of
rebuilding the dict on every task_postrun
- Extract _V9_TYPE_TO_TRIGGER_SOURCE and _RUNNABLE_TASKS as class
constants on TasksViewSet instead of rebuilding on every request
- Extract _TRIGGER_SOURCE_TO_V9_TYPE as a class constant on
TaskSerializerV9 instead of rebuilding per serialized object
- Extract _get_consume_args helper to deduplicate identical arg
extraction logic in _extract_input_data, _determine_trigger_source,
and _extract_owner_id
- Move inline imports (re, traceback) and Avg to module level
- Fix _DOCUMENT_SOURCE_TO_TRIGGER type annotation key type to
DocumentSource instead of Any
- Remove redundant truthiness checks in SystemStatusView branches
already guarded by an is-None check
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Drop the old string-based PaperlessTask table and recreate it with
Status/TaskType/TriggerSource enums, JSONField result storage, and
duration tracking fields. Update all call sites to use the new API.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This helps prevent excessive processing times on very large documents
by limiting the text analyzed during date parsing, tag prediction,
and correspondent matching.
If the document exceeds 1.2M chars, crop to 1M char.
stumpylog
shamoon
Jan Kleineandshamoon
Sebastian Steinbeißer
Antoine Mérino
jojo2357andshamoon
david-loeandshamoon
