mirror of
https://github.com/hansjone/oclaw.git
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oliver
420abac9f1
- Rename platform/ to svc/ to avoid shadowing stdlib platform. - Replace from oclaw.* with from svc/runtime/interfaces; update -m CLI paths. - tests/conftest: prepend repo root to sys.path (no parent-folder package name). - CI: paths and offline_eval script under repo root. - Ops scripts: PYTHONPATH must be repo root for python -m runtime.* (fixes gateway/WhatsApp sidecar startup). - Fix default oclaw.json path in tabular/file attachment limits; stabilize attachment test config. Co-authored-by: Cursor <cursoragent@cursor.com>
63 lines
2.3 KiB
Python
63 lines
2.3 KiB
Python
from __future__ import annotations
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from typing import Any
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from runtime.skills import discover_workspace_skill_manifests
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from runtime.tools.base import ToolSpec
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def materialize_executable_skill_tools(*, store: Any | None = None) -> list[ToolSpec]:
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"""Convert installed skill manifests with runtime into ToolSpec.
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Tool name equals skill name so the model can call it directly.
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"""
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_ = store
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out: list[ToolSpec] = []
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for m in discover_workspace_skill_manifests():
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rt = dict(m.runtime or {}) if isinstance(m.runtime, dict) else {}
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if not rt:
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continue
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tp = str(rt.get("type") or "").strip().lower()
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entry = str(rt.get("entry") or "").strip()
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if not tp or not entry:
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continue
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schema = rt.get("schema") if isinstance(rt.get("schema"), dict) else {"type": "object", "additionalProperties": True}
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name = str(m.name or "").strip()
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if not name:
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continue
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def _handler(args: dict[str, Any], *, _manifest=m, _rt=rt) -> dict[str, Any]:
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from runtime.tools.skills_runtime.subprocess_exec import run_skill_runtime_entry
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source_meta = {}
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if isinstance(getattr(_manifest, "metadata_oclaw", None), dict):
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source_raw = _manifest.metadata_oclaw.get("source")
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if isinstance(source_raw, dict):
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source_meta = {
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"provider": str(source_raw.get("provider") or ""),
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"version": str(source_raw.get("version") or ""),
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"kind": str(source_raw.get("kind") or ""),
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}
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return run_skill_runtime_entry(
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skill_name=str(_manifest.name or ""),
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skill_dir=str(_manifest.skill_dir or ""),
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runtime={**dict(_rt), "__source_meta": source_meta},
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args=dict(args or {}),
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)
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out.append(
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ToolSpec(
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name=name,
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description=str(m.description or ""),
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parameters=dict(schema),
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handler=_handler,
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tags=frozenset({"skill", "oclaw", "runtime"}),
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risk_level="high",
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timeout_s=60.0,
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)
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)
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return out
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__all__ = ["materialize_executable_skill_tools"]
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