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feat(file_watcher): add directory deletion support with descendant indexing Add support for deleting entire directories and their indexed descendants in the file watcher. Previously only individual file deletions were handled properly. Now when a directory is deleted, the system finds all indexed files beneath that directory path and removes them along with their metadata and chunks. The implementation includes: - New `_descendant_indexed_paths` method to find all indexed files under a given directory path - Updated `_on_deleted` method to process both the target path and all its indexed descendants - Proper handling of symlinks and path resolution differences - Enhanced logging to show directory deletion with child count Also adds necessary os import for path operations. refactor(config): restructure configuration profiles for clarity Rename curated.yaml to remove outdated configuration file and rename full.yaml to expert.yaml with updated documentation. Add new service.yaml configuration profile that provides a service-aligned MCP surface with three main tools: - retrieve: graph-aware hybrid retrieval - remember: single write entry point with log/distill modes - maintain: vault hygiene sweep The expert configuration now excludes the ingest tool since cold-path operations are handled by external agents, and adds memory_lint tool for structural issue detection. Updated documentation to clarify the different configuration profiles and their intended usage patterns. ```
30 lines
1 KiB
Python
30 lines
1 KiB
Python
"""Helpers for serializing Step output onto `RuntimeContext.response`.
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Lives next to `runtime_context.py` because both are about the BaseStep
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interface — the response side, specifically. Used by every Step that
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returns a JSON-shaped payload (memory_*, sync, the three memory
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services).
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Was previously at `reme2/mcp/steps/_common.py`, which leaked an MCP
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dependency into `reme2/memory/` services that legitimately need to
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serialize their results — the moved location breaks that cycle.
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"""
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from __future__ import annotations
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import json
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from datetime import date, datetime
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def _to_jsonable(value):
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if isinstance(value, (datetime, date)):
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return value.isoformat()
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if isinstance(value, dict):
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return {k: _to_jsonable(v) for k, v in value.items()}
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if isinstance(value, (list, tuple, set)):
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return [_to_jsonable(v) for v in value]
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return value
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def _set_answer(context, payload) -> None:
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context.response.answer = json.dumps(_to_jsonable(payload), ensure_ascii=False, indent=2)
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