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https://github.com/hansjone/oclaw.git
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oliver
d14e9d3596
- Add SQLAlchemy Core repos, pg adapter/compat, assistant_store factory, Alembic bootstrap and migration/cutover scripts. - Harden chat_message writes (NUL scrub for PG), turn_uuid on attempt failure, WS turn_runner fallbacks and gateway executed_turn_uuid init. - start_gateway: log paths, PS7 stderr handling via cmd, background stdout/stderr redirect; runtime assistant_runtime_log_dir export. - Ops: clear_all_chat_sessions with PG-only --postgresql and env-gated wipe; clear_postgres_chat_sessions.ps1. - Tests: SA repos, pg compat, persist fallback, smoke env isolation; CI and docs touch-ups. Co-authored-by: Cursor <cursoragent@cursor.com>
37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
from __future__ import annotations
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from typing import Any
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from runtime.tools.base import ToolSpec
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from svc.persistence.assistant_store import get_assistant_store
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def index_workspace_tool() -> ToolSpec:
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def handler(args: dict[str, Any]) -> dict[str, Any]:
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max_files = int(args.get("max_files") or 120)
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try:
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from runtime.tools.workspace_indexer import index_workspace
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store = get_assistant_store()
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st = index_workspace(store, max_files=max(1, min(max_files, 800)))
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return {"ok": True, "files_seen": st.files_seen, "chunks_upserted": st.chunks_upserted, "embeddings_upserted": st.embeddings_upserted}
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except Exception as e:
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return {"ok": False, "error": f"{type(e).__name__}: {e}"}
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return ToolSpec(
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name="index_workspace",
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description="Index workspace files into vector knowledge base for RAG.",
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parameters={
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"type": "object",
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"properties": {"max_files": {"type": "integer", "default": 120, "description": "Max files to index."}},
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"required": [],
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"additionalProperties": False,
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},
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handler=handler,
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tags=frozenset({"public", "rag"}),
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risk_level="high",
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read_only=False,
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)
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__all__ = ["index_workspace_tool"]
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