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@cpdata cpdata commented Oct 14, 2025

Summary

  • add a local pydantic compatibility shim plus fake Memgraph/Redis/embedding drivers so tests run without optional dependencies
  • replace constant importance scoring with heuristics, return structured consolidation outcomes, and persist Celery maintenance updates
  • harden retrieval fallbacks, extraction guards, and documentation (README, SOT, PLAN, ISSUES, etc.) to describe the new workflow and priorities

Testing

  • pytest

https://chatgpt.com/codex/tasks/task_b_68ee1c9ee92c83218cbbebce8b0667b8

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Comment on lines +52 to +58
def _row_to_dict(self, row: sqlite3.Row) -> Dict[str, Any]:
payload = dict(row)
if "props" in payload and payload["props"]:
props = payload.pop("props")
if isinstance(props, str):
payload.update(json.loads(props))
elif isinstance(props, dict):

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P1 Badge Strip non-schema column when returning SQLite entities

The SQLite driver returns rows directly from the entities table and then merges the JSON payload, leaving the table’s label column in the dictionary. MemoryManager.list_memories feeds this dictionary into Memory(**data), and because Memory has no label field the constructor raises and the record is discarded. As a result, any call to list or retrieve memories against the SQLite backend silently yields an empty result set. Remove or rename the label column before creating the dict so that the payload matches the Memory schema.

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