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c9ee9edb95db697d6e123fd39da9ee51c39f2238
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98dc191194 |
Fix: Lock AI index during reading and don't index documents many times during a bulk update (#12899)
* Fix: Move LLM index lock outside index dir and skip per-doc tasks on bulk update Two concurrency bugs from #12893: [P1] Lock file lived inside LLM_INDEX_DIR. A rebuild calls shutil.rmtree(LLM_INDEX_DIR), deleting the lock while a worker still held it. A second worker then acquired a fresh lock on the new path and ran concurrently, defeating serialisation. Move the lock to DATA_DIR/locks/llm_index.lock (a new settings constant LLM_INDEX_LOCK) so rmtree cannot touch it. The locks/ dir is created at settings load time, matching the existing pattern for LOGGING_DIR. [P2] document_updated was connected to add_or_update_document_in_llm_index in apps.py. bulk_update_documents() emits document_updated for every document in the batch, queuing N per-document LLM tasks, and then also calls update_llm_index(rebuild=False) once at the end. Pass skip_ai_index=True when sending document_updated from the bulk path so the handler skips the per-document enqueue; the existing batch call at the end of bulk_update_documents is the only LLM update for that path. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Fix: ghost vectors leave KeyError-prone nodes_dict entries after deletion docstore.delete_document() removes a node from the docstore but leaves its entry in index_struct.nodes_dict (the FAISS positional-id to node-UUID map). A subsequent similarity query resolves the ghost position to the deleted UUID, finds nothing in fetched_nodes_by_id, and raises KeyError inside _insert_fetched_nodes_into_query_result. Purge stale nodes_dict entries after each docstore deletion and re-sync the mutated index_struct into the kvstore so persist() writes the updated mapping. Dead FAISS vectors remain in the flat index until the next full rebuild (IndexFlatL2 is append-only); add a try/except KeyError around retriever.retrieve() as a defensive fallback for any residual ghost positions. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Fix: acquire index lock in query_similar_documents query_similar_documents() loaded the index and ran the FAISS retriever without holding the file lock. All write paths (update_llm_index, llm_index_add_or_update_document, llm_index_remove_document) hold FileLock(_index_lock_path()), so a concurrent rebuild calling shutil.rmtree(LLM_INDEX_DIR) while a read is mid-load produces an IOError or corrupt partial state. Wrap the load_or_build_index() call and all subsequent retriever work inside FileLock. The early-return guards (vector_store_file_exists check, empty allowed_document_ids) remain outside the lock; the DB query for the final result set also stays outside. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Fix: skip LLM index enqueue on document_updated during version addition When a document is consumed as a new version of an existing document, the consumer fires document_consumption_finished (which triggers add_or_update_document_in_llm_index) and then document_updated for the root document. Both signals are connected to the same handler, so the root document was enqueued for LLM indexing twice per version-addition event. Pass skip_ai_index=True on the consumer's version-addition document_updated send so the handler's existing guard suppresses the duplicate enqueue. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Test: bulk_update_documents must not enqueue per-doc LLM tasks With AI enabled, bulk_update_documents() sends document_updated for every document in the batch. The skip_ai_index=True kwarg (added in the P2 fix) prevents add_or_update_document_in_llm_index from enqueuing a per-document task for each one. Only the single update_llm_index call at the end should run. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Debug level log sure * Update src/paperless_ai/indexing.py Co-authored-by: shamoon <4887959+shamoon@users.noreply.github.com> * Apply suggestion from @shamoon --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: shamoon <4887959+shamoon@users.noreply.github.com> |
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2c58d86380 |
Fix: Minor fixes for the AI indexing (#12893)
* Fix: Remove all nodes for multi-chunk documents in update_llm_index incremental path The existing_nodes dict comprehension keyed on document_id silently dropped all but the last node per document, so only that one node was deleted when a modified document was re-indexed, leaving all other chunks as ghost vectors in the FAISS index. Switch to a defaultdict(list) that collects every node per document_id, then iterate and delete all of them before inserting fresh nodes. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Fix: Wire document_updated signal to LLM index update handler Connect document_updated to add_or_update_document_in_llm_index in DocumentsConfig.ready() so REST API edits (PATCH /api/documents/{id}/) enqueue an LLM vector store update, matching the existing document_consumption_finished behavior. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Fix: Add file lock around FAISS index mutations to prevent concurrent write corruption Two concurrent Celery workers calling llm_index_add_or_update_document or llm_index_remove_document each loaded the same on-disk index independently, made their own change, and the last writer silently overwrote the first's update. Wrap both functions and the rebuild/persist body of update_llm_index in a filelock.FileLock keyed on LLM_INDEX_DIR/index.lock. Add a TOCTOU comment on queue_llm_index_update_if_needed explaining the residual risk (duplicate rebuild tasks are wasteful but not corrupting because the lock serialises the actual write). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Fix: Apply _normalize() in extract_unmatched_names to prevent duplicate suggestions extract_unmatched_names was using .lower() while _match_names_to_queryset uses _normalize() (which also strips punctuation). A name like "J. Smith" matched to existing correspondent "J Smith" would still appear in the unmatched list, causing duplicate object creation. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Fix: Skip LLM index update gracefully when document has no indexable content Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Fix: Persist empty index when all documents are deleted to clear stale FAISS vectors The early-return guard in update_llm_index fired before persist() when no documents existed, leaving a stale on-disk FAISS index that returned phantom hits for deleted document IDs. Now the guard only returns early for the incremental (rebuild=False) path when no index exists on disk; the rebuild path always continues through to persist(), producing an empty clean index. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Chore: Simplify incremental index update — use docs.values() and deduplicate node extend --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> |
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f6c865bf47 | Enhancement: AI LLM chunk size and context window config (#12891) | ||
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01d8fad622 | Security: fixes for v3 beta (#12838) | ||
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9a78882b5a | Fix: Don't embed the metadata which is already embedded into the context (#12795) | ||
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177d81c8d4 |
Fix: create LLM_INDEX_DIR before writing meta.json on first run (#12759)
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> |
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57b91ad2cf | Fix: use response synthesizer for RAG doc chat (#12751) | ||
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8e67828bd7 |
Feature: Redesign the task system (#12584)
* feat(tasks): replace PaperlessTask model with structured redesign 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> * feat(tasks): rewrite signal handlers to track all task types Replace the old consume_file-only handler with a full rewrite that tracks 6 task types (consume_file, train_classifier, sanity_check, index_optimize, llm_index, mail_fetch) with proper trigger source detection, input data extraction, legacy result string parsing, duration/wait time recording, and structured error capture on failure. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * test(tasks): add traceback and revoked state coverage to signal tests * refactor(tasks): remove manual PaperlessTask creation and scheduled/auto params All task records are now created exclusively via Celery signals (Task 2). Removed PaperlessTask creation/update from train_classifier, sanity_check, llmindex_index, and check_sanity. Removed scheduled= and auto= parameters from all 7 call sites. Updated apply_async callers to use trigger_source headers instead. Exceptions now propagate naturally from task functions. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(tasks): auto-inject trigger_source=scheduled header for all beat tasks Inject `headers: {"trigger_source": "scheduled"}` into every Celery beat schedule entry so signal handlers can identify scheduler-originated tasks without per-task instrumentation. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(tasks): update serializer, filter, and viewset with v9 backwards compat - Replace TasksViewSerializer/RunTaskViewSerializer with TaskSerializerV10 (new field names), TaskSerializerV9 (v9 compat), TaskSummarySerializer, and RunTaskSerializer - Add AcknowledgeTasksViewSerializer unchanged (kept existing validation) - Expand PaperlessTaskFilterSet with MultipleChoiceFilter for task_type, trigger_source, status; add is_complete, date_created_after/before filters - Replace TasksViewSet.get_serializer_class() to branch on request.version - Add get_queryset() v9 compat for task_name/type query params - Add acknowledge_all, summary, active actions to TasksViewSet - Rewrite run action to use apply_async with trigger_source header - Add timedelta import to views.py; add MultipleChoiceFilter/DateTimeFilter to filters.py imports Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(tasks): add read_only_fields to TaskSerializerV9, enforce admin via permission_classes on run action * test(tasks): rewrite API task tests for redesigned model and v9 compat Replaces the old Django TestCase-based tests with pytest-style classes using PaperlessTaskFactory. Covers v10 field names, v9 backwards-compat field mapping, filtering, ordering, acknowledge, acknowledge_all, summary, active, and run endpoints. Also adds PaperlessTaskFactory to factories.py and fixes a redundant source= kwarg in TaskSerializerV10.related_document_ids. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * test(tasks): fix two spec gaps in task API test suite Move test_list_is_owner_aware to TestGetTasksV10 (it tests GET /api/tasks/, not acknowledge). Add test_related_document_ids_includes_duplicate_of to cover the duplicate_of path in the related_document_ids property. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * test(tasks): address code quality review findings Remove trivial field-existence tests per project conventions. Fix potentially flaky ordering test to use explicit date_created values. Add is_complete=false filter test, v9 type filter input direction test, and tighten TestActive second test to target REVOKED specifically. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(tasks): update TaskAdmin for redesigned model Add date_created, duration_seconds to list_display; add trigger_source to list_filter; add input_data, duration_seconds, wait_time_seconds to readonly_fields. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(tasks): update Angular types and service for task redesign Replace PaperlessTaskName/PaperlessTaskType/PaperlessTaskStatus enums with new PaperlessTaskType, PaperlessTaskTriggerSource, PaperlessTaskStatus enums. Update PaperlessTask interface to new field names (task_type, trigger_source, input_data, result_message, related_document_ids). Update TasksService to filter by task_type instead of task_name. Update tasks component and system-status-dialog to use new field names. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore(tasks): remove django-celery-results PaperlessTask now tracks all task results via Celery signals. The django-celery-results DB backend was write-only -- nothing reads from it. Drop the package and add a migration to clean up the orphaned tables. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * test: fix remaining tests broken by task system redesign Update all tests that created PaperlessTask objects with old field names to use PaperlessTaskFactory and new field names (task_type, trigger_source, status, result_message). Use apply_async instead of delay where mocked. Drop TestCheckSanityTaskRecording — tests PaperlessTask creation that was intentionally removed from check_sanity(). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * test(tasks): improve test_api_tasks.py structure and add api marker - Move admin_client, v9_client, user_client fixtures to conftest.py so they can be reused by other API tests; all three now build on the rest_api_client fixture instead of creating APIClient() directly - Move regular_user fixture to conftest.py (was already done, now also used by the new client fixtures) - Add docstrings to every test method describing the behaviour under test - Move timedelta/timezone imports to module level - Register 'api' pytest marker in pyproject.toml and apply pytestmark to the entire file so all 40 tests are selectable via -m api Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * refactor(tasks): simplify task tracking code after redesign - 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> * refactor(tasks): add docstrings and rename _parse_legacy_result - Add docstrings to _extract_input_data, _determine_trigger_source, _extract_owner_id explaining what each helper does and why - Rename _parse_legacy_result -> _parse_consume_result: the function parses current consume_file string outputs (consumer.py returns "New document id N created" and "It is a duplicate of X (#N)"), not legacy data; the old name was misleading Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(tasks): extend and harden the task system redesign - 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> * fix(tasks): fix MAIL_FETCH null input_data and postrun double-query - _extract_input_data: return {} instead of {"account_ids": None} when process_mail_accounts is called without an explicit account list (the normal beat-scheduled path); add test to cover this path - task_postrun_handler: replace filter().first() + filter().update() with get() + save(update_fields=[...]) — single fetch, single write, consistent with task_prerun_handler Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(tasks): add queryset stub to satisfy drf-spectacular schema generation TasksViewSet.get_queryset() accesses request.user, which drf-spectacular cannot provide during static schema generation. Adding a class-level queryset = PaperlessTask.objects.none() gives spectacular a model to introspect without invoking get_queryset(), eliminating both warnings and the test_valid_schema failure. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * test(tasks): fill coverage gaps in task system - test_task_signals: add TestTaskRevokedHandler (marks REVOKED, ignores None request, ignores unknown id); switch existing direct PaperlessTask.objects.create calls to PaperlessTaskFactory; import pytest_mock and use MockerFixture typing on mocker params - test_api_tasks: add test_rejects_invalid_days_param to TestSummary - tasks.service.spec: add dismissAllTasks test (POST acknowledge_all + reload) - models: add pragma: no cover to __str__, is_complete, and related_document_ids (trivial delegates, covered indirectly) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Well, that was a bad push. * Fixes v9 API compatability with testing coverage * fix(tasks): restore INDEX_OPTIMIZE enum and remove no-op run button INDEX_OPTIMIZE was dropped from the TaskType enum but still referenced in _RUNNABLE_TASKS (views.py) and the frontend system-status-dialog, causing an AttributeError at import time. Restore the enum value in the model and migration so the serializer accepts it, but remove it from _RUNNABLE_TASKS since index_optimize is a Tantivy no-op. Remove the frontend "Run Task" button for index optimization accordingly. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(tasks): v9 type filter now matches all equivalent trigger sources The v9 ?type= query param mapped each value to a single TriggerSource, but the serializer maps multiple sources to the same v9 type value. A task serialized as "auto_task" would not appear when filtering by ?type=auto_task if its trigger_source was email_consume or folder_consume. Same issue for "manual_task" missing web_ui and api_upload sources. Changed to trigger_source__in with the full set of sources for each v9 type value. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(tasks): give task_failure_handler full ownership of FAILURE path task_postrun_handler now early-returns for FAILURE states instead of redundantly writing status and date_done. task_failure_handler now computes duration_seconds and wait_time_seconds so failed tasks get complete timing data. This eliminates a wasted .get() + .save() round trip on every failed task and gives each handler a clean, non-overlapping responsibility. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(tasks): resolve trigger_source header via TriggerSource enum lookup Replace two hardcoded string comparisons ("scheduled", "system") with a single TriggerSource(header_source) lookup so the enum values are the single source of truth. Any valid TriggerSource DB value passed in the header is accepted; invalid values fall through to the document-source / MANUAL logic. Update tests to pass enum values in headers rather than raw strings, and add a test for the invalid-header fallback path. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(tasks): use TriggerSource enum values at all apply_async call sites Replace raw strings ("system", "manual") with PaperlessTask.TriggerSource enum values in the three callers that can import models. The settings file remains a raw string (models cannot be imported at settings load time) with a comment pointing to the enum value it must match. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * test(tasks): parametrize repetitive test cases in task test files test_api_tasks.py: - Collapse six trigger_source->v9-type tests into one parametrized test, adding the previously untested API_UPLOAD case - Collapse three task_name mapping tests (two remaps + pass-through) into one parametrized test - Collapse two acknowledge_all status tests into one parametrized test - Collapse two run-endpoint 400 tests into one parametrized test - Update run/ assertions to use TriggerSource enum values test_task_signals.py: - Collapse three trigger_source header tests into one parametrized test - Collapse two DocumentSource->TriggerSource mapping tests into one parametrized test - Collapse two prerun ignore-invalid-id tests into one parametrized test All parametrize cases use pytest.param with descriptive ids. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Handle JSON serialization for datetime and Path. Further restrist the v9 permissions as Copilot suggests * That should fix the generated schema/browser * Use XSerializer for the schema * A few more basic cases I see no value in covering * Drops the migration related stuff too. Just in case we want it again or it confuses people * fix: annotate tasks_summary_retrieve as array of TaskSummarySerializer Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: annotate tasks_active_retrieve as array of TaskSerializerV10 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Restore task running to superuser only * Removes the acknowledge/dismiss all stuff * Aligns v10 and v9 task permissions with each other * Short blurb just to warn users about the tasks being cleared --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> |
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aed9abe48c |
Feature: Replace Whoosh with tantivy search backend (#12471)
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: Antoine Mérino <3023499+Merinorus@users.noreply.github.com> |
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f5c0c21922 | Chore: Lazy imports of the heavy AI modules (#12275) | ||
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20a9cd40e8 | Feature: Switch all indexing to use rich (#12193) | ||
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d294508982 | Fixhancement: auto-queue llm index if needed (#11891) | ||
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e940764fe0 | Feature: Paperless AI (#10319) |