Introduce the `别名失效` predicate to handle cases where an alias is
explicitly no longer applicable to an entity.
Changes:
- write_pipeline.py: extend _merge_alias_in_memory to process
`别名失效` edges — removes invalidated alias names from target
entity's aliases list in-memory before Neo4j write
- cypher_queries.py: add REMOVE_INVALID_ALIASES and DELETE_ALIAS_NODES
queries; update REDIRECT_ALIAS_EDGES to handle both `别名属于` and
`别名失效` predicates
- tasks.py: add step 1.5 in post_store_dedup_and_alias_merge_task to
execute REMOVE_INVALID_ALIASES and sync removals to PostgreSQL;
add step 3 to delete alias nodes after edge redirection; add
snapshot step 3.5 for post-merge entity state; pass snapshot_dir
to the task
- end_user_info_repository.py: add remove_aliases() method to remove
specified aliases from end_user_info.aliases (case-insensitive)
- write_snapshot_recorder.py: add save_alias_merge_result() static
method to write stage 8 snapshot after alias merge and deletion
- extract_triplet.jinja2: document `别名失效` predicate with usage
rules — only use when conversation explicitly negates an alias
- Add `aliases` and `end_user_id` fields to user entity dicts in
`collect_user_entities_for_metadata` so downstream tasks can write
them to PostgreSQL
- Add `update_aliases_and_metadata` method to `EndUserInfoRepository`
for incremental, case-insensitive dedup merge of aliases and
structured metadata fields
- Add `_sync_end_user_info_pg` helper in tasks.py that writes aliases
and extracted metadata to `end_user_info`, and back-fills
`end_user.other_name` when empty
- Call `_sync_end_user_info_pg` from `extract_metadata_batch_task`
after Neo4j write, and also when no new metadata but aliases exist
- Filter `meta_data` response in `UserMemoryService.get_end_user_info`
to expose only four core fields: goals, traits, interests, core_facts
Remove the deprecated expired_at field from all graph models, Neo4j
Cypher queries, repositories, and pipeline code. Replace with dialog_at
on StatementNode to track the original dialog timestamp.
- Strip expired_at from DialogueNode, ChunkNode, StatementNode,
ExtractedEntityNode, edges, and all Cypher queries
- Add dialog_at to MessageItem schema and propagate through extraction
and graph build steps
- Extract emotion/metadata async submission from WritePipeline into
a generic _submit_celery_task helper
- Add post_store_dedup_and_alias_merge Celery task for async alias
merging and second-layer dedup after Neo4j write
- Switch pytest async backend from anyio to asyncio_mode=auto
- Replace extract_user_metadata_task with entity-level extract_metadata_batch_task
- Add MetadataExtractionStep following ExtractionStep pattern with Jinja2 prompts
- Flatten MetadataExtractionResponse to 9-field schema (aliases, core_facts, etc.)
- Add Cypher queries for incremental metadata writeback and alias edge redirection
- Wire _extract_metadata into WritePipeline as Step 3.6 (fire-and-forget)
- Add pilot_write() to MemoryService; refactor pilot_run_service to use it
- Extract snapshot logic into WriteSnapshotRecorder
- Add valid_at/invalid_at passthrough in triplet extraction prompt (both zh/en)
- Propagate temporal_validity to EntityEntityEdge in ExtractionOrchestrator
- Use coalesce() for valid_at/invalid_at in Neo4j cypher queries to handle NULLs
- Fix workspace_id/config_id UUID parsing in read_memory config resolution
- Downgrade verbose extraction pipeline logs from info to debug
- Remove UUID and short API key patterns from sensitive filter to reduce false positives
- Standardize log message format (use = spacing, end_user_id label)
- Fix misindented TODO comment in write_pipeline.py
- Rename StatementExtractionStep → StatementTemporalExtractionStep and
extract_statement.jinja2 → extract_statement_temporal.jinja2 to reflect
merged temporal extraction logic
- Move extraction_pipeline_orchestrator.py out of steps/ to engine root
- Move dedup_step.py into steps/ directory
- Introduce WriteMemoryRequest schema to replace positional args in write_memory()
- Extract _resolve_and_load_config, _preprocess_files, _write_neo4j, and
_invalidate_interest_cache as private helpers in MemoryAgentService
- Remove shadow pipeline and simplify NEW_PIPELINE_ENABLED branch
- Merge 类型归属/成员隶属/任职服务 relation types into single 归属身份关系 in triplet prompt
- Add alias merge logic (别名属于) in deduplication and MERGE_ALIAS_BELONGS_TO Cypher query
- Add StorageType, Language, MessageItem enums/models to memory_agent_schema
- Reduce AgentMemory_Long_Term.DEFAULT_SCOPE from 6 to 1
- Delete standalone extract_temporal.jinja2 (logic merged into statement step)
Change list.append() to list.insert(0, ...) in extract_user_metadata_task so that newly extracted user metadata values appear at the front of each field list, maintaining a newest-first ordering.
- Use Literal['set', 'remove'] for MetadataFieldChange.action instead of str
- Simplify field_path description to reflect current schema
- Remove redundant isinstance check in extract_user_metadata_task
- Replace UserMetadata full-object overwrite with incremental MetadataFieldChange
operations (set/remove per field path)
- Convert profile.role and profile.domain from scalar strings to lists
- Remove UserMetadataBehavioralHints and knowledge_tags fields
- Update Jinja2 prompt to instruct LLM to output incremental changes
- Update extract_user_metadata_task to apply changes via deep-copy and
per-field mutation for proper SQLAlchemy change detection
- Minor lint: remove unnecessary f-string prefixes in tasks.py
- Make MetadataExtractor language param optional (default None) to
support auto-detection fallback when no language is explicitly set
- Refactor clean_metadata from walrus-operator dict comprehension to
explicit loop for correctness and readability
- Remove _replace_first_person_with_user from StatementExtractor to preserve
original user text for downstream metadata/alias extraction
- Delete metadata_utils.py module, inline clean_metadata into Celery task
- Remove unused imports and commented-out collect_user_raw_messages method
- Apply formatting cleanup across metadata models and extraction orchestrator
- Merge alias add/remove into MetadataExtractionResponse and Celery metadata task,
removing the separate sync step from extraction_orchestrator
- Replace first-person pronouns ("我") with "用户" in statement extraction to
preserve identity semantics for downstream metadata/alias extraction
- Update extract_statement.jinja2 prompt to enforce "用户" as subject for user
statements instead of resolving to real names
- Add alias change instructions (aliases_to_add/aliases_to_remove) to
extract_user_metadata.jinja2 with incremental merge logic
- Deduplicate special entities ("用户", "AI助手") in graph_saver by reusing
existing Neo4j node IDs per end_user_id
- Sync final aliases from PgSQL to Neo4j user entity nodes after metadata write
- Remove merge_metadata and its helper functions from metadata_utils.py
- Pass existing_metadata to MetadataExtractor.extract_metadata() as LLM context
- Add merge instructions to extract_user_metadata.jinja2 prompt (zh/en)
- Update Celery task to read existing metadata before extraction and overwrite
- Simplify field descriptions in UserMetadataProfile model
- Add _update_timestamps helper to track changed fields
- Increased max_connections for Redis pool from 10 to 100.
- Extended socket_timeout from 5 to 10 seconds.
- Added retry mechanism with exponential backoff for Redis operations in `RedisFairLock`.
- Adjust multi-modal memory write behavior for text and visual data
- Mask API keys in model list response to prevent exposure
- Add capability-based filtering to the model list API
