- Add coalesce fallbacks for importance_score, activation_value, and
access_count in statement, entity, weak entity, strong entity, and
memory summary MERGE queries to prevent null values on new nodes
- Set activation_value default to coalesce(importance_score, 0.5) for
consistency with the forgetting/activation scoring logic
- Suppress Neo4j UNRECOGNIZED property key notifications in driver init
since missing keys like last_access_time and activation_value are
expected for newly created nodes
- 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
* release/v0.3.0: (44 commits)
Revert "fix(web): prompt editor"
fix(web): prompt editor
fix(prompt-optimizer): handle escaped quotes in JSON parsing
fix(custom-tools): remove parameter coercion in custom tool base class
fix(core): conditionally apply thinking parameters based on model support
refactor(custom-tools): coerce query and request body parameters to schema types
fix(prompt-optimizer): support list content type in prompt optimizer
refactor(memory): unify user placeholder names and harden alias sync logic
fix(rag): replace semicolon separators with newlines in Excel parser output
fix(web): Compatible with Windows whitespace
fix(memory): make PgSQL the single source of truth for user entity aliases
refactor(rag): simplify Excel parsing logic and remove redundant chunk_token_num assignment
fix(web): Hide error message when workflow node error message equals empty string
ci(wechat-notify): add Sourcery summary extraction with Qwen fallback
fix(http-request,embedding,naive): tighten form-data validation, reduce truncation length to 8000, and disable chunking for Excel
fix(web): adjust the value of End User Name
fix(http-request): support array and file variables in form-data files upload
fix(web): change http body key name
fix(web): header user name
fix(web): calculate using the filtered breadcrumbs length
...
# Conflicts:
# web/src/views/UserMemoryDetail/Neo4j.tsx
# web/src/views/UserMemoryDetail/components/EndUserProfile.tsx
# web/src/views/UserMemoryDetail/types.ts
- Replace hardcoded user placeholder name lists in write_tools and
user_memory_service with shared _USER_PLACEHOLDER_NAMES constant
- Filter user placeholder names during alias merging in _merge_attribute
to prevent cross-role alias contamination on non-user entities
- Use toLower() in Cypher query for case-insensitive name matching
- Change PgSQL->Neo4j alias sync condition from 'if pg_aliases' to
'if info is not None' so empty aliases correctly clear stale data
- Skip alias merging for user entities during dedup (_merge_attribute and
_merge_entities_with_aliases) to prevent dirty data from overwriting
PgSQL authoritative aliases
- Add PgSQL→Neo4j alias sync after Neo4j write in write_tools to
ensure Neo4j user entities always reflect the PgSQL source
- Remove deduped_aliases (Neo4j history) from alias sync in
extraction_orchestrator, only append newly extracted aliases to PgSQL
- Guard Neo4j MERGE cypher to preserve existing aliases for user
entities (name IN ['用户','我','User','I'])
- Fix emotion_analytics_service query to use ExtractedEntity label
and entity_type property
- Extract Sourcery AI summary from PR body as primary source
- Add fallback to Qwen AI summarization when Sourcery summary unavailable
- Refactor notification payload to conditionally use Sourcery or Qwen summary
- Update step conditions to skip Qwen processing when Sourcery summary found
- Improve code formatting and indentation consistency in Python scripts
- Reduce redundant file I/O by writing directly to GITHUB_OUTPUT
