feat: remove H1 match pipeline, use TOC leaf-based shard planning#203
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…hared page content and VLM-based node summarization
…onnections with support for custom probes
…p shard plan option - Added `skip_shard_plan` parameter to `run_lightweight_anatomy` and `profile_document` to allow bypassing LLM shard decisions during profiling. - Updated `memory_service` to utilize `skip_shard_plan` for page memory processing. - Introduced asset annotation functionality for visualizing extracted assets on pages. - Refactored page section mapping and node assembly to support internal section body pages. - Improved environment configuration for Java dependencies in Docker setup.
…nd effective parse track handling - Updated `data_type` in `RetrievalQueryRequest` to support new chunk types: page (7) and text+image+table (8). - Refactored document ingestion service to apply effective parse track based on file extension and user-defined settings. - Introduced new validation for parse track handling in oversized PDF processing. - Enhanced tests to cover new chunk types and parse track logic, ensuring robust validation and functionality.
…t handling - Updated document parser to utilize the new summary engine for images, tables, and text, improving the extraction of titles, summaries, and entities. - Refactored image and table handling to streamline the summarization process, replacing legacy methods with unified calls to the summary engine. - Enhanced markdown parsing to support new entity and asset title fields, ensuring comprehensive data capture during document processing. - Introduced serialization for typed entities to maintain structured data integrity across parsed documents.
…set metadata with LLM-extracted entities and titles
…t limits, and refactor section summary publication to initialization.
…set across retrieval services
…r cross-page table continuity analysis
…implement a text-only tagging mode for page memory processing.
- Remove unused pandas import in docx/parser.py (F401) - Remove unused collapse_page_ranges import in fine_hierarchy.py (F401) - Rename unused ctx variable to _ctx in debug_page_memory.py (F841) - Remove unused tempfile import in test_page_memory_cross_page_table_merge.py (F401) - Fix greenlet value type: filter None from scope_results list in memory_service.py (reportAssignmentType) - Fix BeautifulSoup Tag narrowing in page_assets.py: use isinstance(x, Tag) guards for find_all/append calls (reportAttributeAccessIssue, reportOptionalMemberAccess)
…lure The feature branch introduced a migration with revision ID 'a1b2c3d4e5f6' (replace_data_type_with_chunk_types), which collided with an existing main branch migration sharing the same ID (add_qstash_tracking_columns). Alembic detected this as a cycle and blocked all migration tests. Fix: Assigned a unique revision ID 'f0d85d209e68' to the chunk_types migration and rebased its down_revision onto 'f9d0e1f2a3b4' (add_document_metadata_to_documents), which is the current main head. The Alembic graph now has a single clean head with no cycles.
- test_agentic_evidence_renderer_contract.py: Update expected string format to match 'Pages 225-226' instead of 'Pages: 225, 226'. - test_page_memory_cross_page_table_merge.py: Remove unused 'budget' kwarg from merge_cross_page_tables() test calls. - test_doc_profile_anatomy_contract.py: Mock 'PDF_PROFILE_TOC_ENABLED' = True since the feature branch relies on it to test TOC profile attempting logic.
…line page memory processing documentation
…e-hierarchy' into feat/wuchengke/page-memory-native-hierarchy # Conflicts: # packages/shared-python/shared/services/retrieval/hydration/result_assembly.py # packages/shared-python/shared/services/retrieval/search/lexical_text.py
…entic navigation improvements - Add utility functions for page memory processing in _utils.py - Refactor skeleton_extractor with enhanced hierarchy building and cross-page table merge - Improve agentic navigation with structured state management and tool enhancements - Add contract tests for agentic discovery selection - Integrate hierarchy locator improvements for document structure analysis Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…emory-native-hierarchy # Conflicts: # apps/worker/app/services/page_memory/skeleton_extractor.py
…ding TOC fallback - Remove old _estimate_page_offset code block (superseded by _calibrate_offset_via_vlm) - Pass page_memory_config through to _resolve_pending_tocs so its PageLocateResidualAgent fallback uses the same PageLocateConfig as the primary path Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…ctor The offset-guided bulk anchoring with binary search handles all breakpoint scenarios. The expensive grep+VLM residual agent fallback is no longer needed. When offset anchoring is unavailable or returns empty, we fall through with calibration_overrides only and let the hierarchy resolver handle the rest via physical hints. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Remove unused imports flagged by ruff F401 across page_memory and
document_agent modules
- Fix 6 pyright errors in skeleton_extractor.py:
- min() on list[int|None]: use explicit loop with type-narrowed append
- arithmetic on TitleNode.printed_page after filter: extract local
int variable with explicit None guard
Co-authored-by: Cursor <cursoragent@cursor.com>
- Introduced toc_page_offset to both PageAnatomyMap and AgentBlackboard to facilitate better handling of table of contents page offsets. - Updated relevant functions to utilize the new toc_page_offset for improved shard planning and TOC processing. - Removed the match_h1_pages tool as it was deemed unnecessary for current functionality. Co-authored-by: Cursor <cursoragent@cursor.com>
When a PDF is truncated (physical pages < TOC page references), leaves with printed_page + offset > page_count are pruned from the tree before anchoring. This eliminates unnecessary bisect/recalibrate cycles and prevents unlocated fallback noise. Also adjusts _verify_offset_tail to prefer non-boundary leaves (printed_page + offset < page_count) for more reliable VLM verification. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…type Add derive_chapter_boundaries() for L1/L2-aware shard planning with physical page ranges. Extend Shard.anchor_type to accept "toc_chapter_boundary" alongside existing types. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…-h1-match # Conflicts: # apps/worker/app/services/page_memory/_utils.py # apps/worker/app/services/page_memory/skeleton_extractor.py
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Default retrieval now uses the classic 3-channel BM25 + RRF top-K path. Only explicit use_agentic=True triggers the full agentic workflow (LLM doc-select + navigation). Removes dead RETRIEVAL_AGENTIC_ENABLED env var reference from contract test. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The test previously asserted that use_agentic=False was ignored and still routed to the workflow. Now that the switch is functional, the test verifies that use_agentic=False correctly routes to classic_topk. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
match_h1_pagestool and_run_h1_boundary_pipelinefrom document agent coordinatorderive_leaf_cut_pages,split_toc_for_shard)derive_chapter_boundaries()for L1/L2-aware chapter detection withtoc_chapter_boundaryanchor typebuild_hierarchy_scopesto per-leaf scope strategy (each TOC leaf = one scope)split_toc_for_shardindex bug and ancestor chain collection (monotonic stack)toc_page_offsetto PageAnatomyMap and AgentBlackboardPageLocateResidualAgentfallback from skeleton extractorhas_h1_resultfrom registryTest plan
pytest apps/worker/tests— all contract tests pass (124 tests including 21 anatomy contract)make lint/make typecheck— 0 errorsreason="no_toc"🤖 Generated with Claude Code