mirror of
https://github.com/hansjone/oclaw.git
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612 lines
21 KiB
Python
612 lines
21 KiB
Python
from __future__ import annotations
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import json
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from types import SimpleNamespace
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import pytest
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from oclaw.platform.llm.chat_models import LLMResponse
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from oclaw.runtime.gateway import OclawGateway
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from oclaw.runtime.types import StandardMessage
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def test_gateway_async_trace_payload_has_pipeline_and_oc_stage(monkeypatch: pytest.MonkeyPatch) -> None:
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events: list[dict] = []
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class Store:
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def get_setting(self, _k: str) -> str:
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return ""
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def add_trace_event(self, **kwargs: object) -> None:
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events.append(dict(kwargs))
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def oclaw_task_create(self, **_kwargs: object) -> object:
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class T:
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id = "task-1"
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task_type = "async_turn"
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status = "queued"
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return T()
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monkeypatch.setattr("oclaw.runtime.gateway.ensure_worker_started", lambda store: "worker-1")
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gw = OclawGateway(store=Store())
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msg = StandardMessage(
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session_id="sid-1",
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tenant_id="t1",
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user_id="u1",
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role="user",
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channel="admin_chat",
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text="please send to channel after summarize",
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attachments=[],
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metadata={},
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)
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out = gw.handle_turn(msg=msg, lang="zh", executor=object())
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assert out.task_id == "task-1"
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sent = [e for e in events if e.get("event_type") == "response_sent"]
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assert sent
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payload = sent[-1].get("payload") or {}
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assert payload.get("pipeline") == "oclaw_gateway"
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assert payload.get("oc_stage") == "response"
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assert "elapsed_ms_since_gateway_start" in payload
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def test_gateway_received_trace_includes_relay_pointer_stats(monkeypatch: pytest.MonkeyPatch) -> None:
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events: list[dict] = []
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class Store:
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def get_setting(self, _k: str) -> str:
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return ""
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def add_trace_event(self, **kwargs: object) -> None:
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events.append(dict(kwargs))
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def oclaw_task_create(self, **_kwargs: object) -> object:
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class T:
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id = "task-2"
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task_type = "async_turn"
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status = "queued"
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return T()
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monkeypatch.setattr("oclaw.runtime.gateway.ensure_worker_started", lambda store: "worker-1")
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gw = OclawGateway(store=Store())
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msg = StandardMessage(
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session_id="sid-2",
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tenant_id="t1",
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user_id="u1",
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role="user",
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channel="admin_chat",
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text="async with relay",
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attachments=[{"type": "relay_pointer", "pointer_uri": "relay://attachments/scope_1/abcdef123456"}],
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metadata={
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"relay_share_envelope": {
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"schema_version": "v1",
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"attachments": {"pointers": [{"pointer_uri": "relay://attachments/scope_1/abcdef123456"}]},
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}
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},
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)
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_ = gw.handle_turn(msg=msg, lang="zh", executor=object())
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rec = [e for e in events if e.get("event_type") == "gateway_received"]
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assert rec
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payload = rec[-1].get("payload") or {}
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assert payload.get("relay_pointer_count") == 1
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assert payload.get("relay_envelope_present") is True
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assert payload.get("relay_envelope_pointer_count") == 1
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def test_gateway_async_task_payload_preserves_relay_envelope(monkeypatch: pytest.MonkeyPatch) -> None:
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captured: dict = {}
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class Store:
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def get_setting(self, _k: str) -> str:
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return ""
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def add_trace_event(self, **_kwargs: object) -> None:
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return None
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def oclaw_task_create(self, **kwargs: object) -> object:
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captured.update(kwargs)
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class T:
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id = "task-3"
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task_type = "async_turn"
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status = "queued"
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return T()
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monkeypatch.setattr("oclaw.runtime.gateway.ensure_worker_started", lambda store: "worker-1")
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gw = OclawGateway(store=Store())
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msg = StandardMessage(
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session_id="sid-3",
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tenant_id="t1",
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user_id="u1",
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role="user",
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channel="admin_chat",
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text="please summarize and schedule follow-up tasks with attachment context " * 3,
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attachments=[{"type": "relay_pointer", "pointer_uri": "relay://attachments/scope_1/abcdef123456"}],
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metadata={
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"relay_share_envelope": {
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"schema_version": "v1",
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"attachments": {"pointers": [{"pointer_uri": "relay://attachments/scope_1/abcdef123456"}]},
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}
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},
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)
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_ = gw.handle_turn(msg=msg, lang="zh", executor=object())
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payload = captured.get("payload") or {}
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assert isinstance(payload, dict)
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assert payload.get("relay_pointer_count") == 1
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env = payload.get("relay_share_envelope") or {}
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assert isinstance(env, dict)
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assert env.get("schema_version") == "v1"
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def test_gateway_async_task_payload_preserves_acp_ids(monkeypatch: pytest.MonkeyPatch) -> None:
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captured: dict = {}
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class Store:
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def get_setting(self, _k: str) -> str:
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return ""
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def add_trace_event(self, **_kwargs: object) -> None:
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return None
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def oclaw_task_create(self, **kwargs: object) -> object:
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captured.update(kwargs)
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class T:
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id = "task-4"
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task_type = "async_turn"
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status = "queued"
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return T()
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monkeypatch.setattr("oclaw.runtime.gateway.ensure_worker_started", lambda store: "worker-1")
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gw = OclawGateway(store=Store())
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msg = StandardMessage(
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session_id="sid-4",
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tenant_id="t1",
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user_id="u1",
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role="user",
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channel="admin_chat",
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text="please summarize and schedule follow-up tasks with attachment context " * 3,
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attachments=[{"type": "relay_pointer", "pointer_uri": "relay://attachments/scope_1/abcdef123456"}],
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metadata={"acp_parent_run_id": "parent-1", "acp_child_run_id": "child-1"},
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)
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_ = gw.handle_turn(msg=msg, lang="zh", executor=object())
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payload = captured.get("payload") or {}
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assert payload.get("acp_parent_run_id") == "parent-1"
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assert payload.get("acp_child_run_id") == "child-1"
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def test_gateway_expert_mode_uses_requested_specialist() -> None:
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class Store:
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def get_setting(self, _k: str) -> str:
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return ""
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def add_trace_event(self, **_kwargs: object) -> None:
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return None
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class _Exec:
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model = None
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tools = None
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chosen: dict[str, str] = {}
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def _factory(sid: str) -> object:
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chosen["sid"] = sid
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return _Exec()
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gw = OclawGateway(store=Store())
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msg = StandardMessage(
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session_id="sid-e1",
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tenant_id="t1",
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user_id="u1",
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role="user",
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channel="admin_chat",
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text="hello",
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attachments=[],
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metadata={"interaction_mode": "expert", "selected_specialist": "ops"},
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)
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out = gw.handle_turn(msg=msg, lang="en", executor=_Exec(), specialist_executor_factory=_factory)
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assert out.interaction_mode == "expert"
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assert out.selected_specialist == "ops"
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assert chosen.get("sid") == "ops"
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def test_gateway_comprehensive_mode_manager_first_selects_specialist(monkeypatch: pytest.MonkeyPatch) -> None:
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class Store:
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def get_setting(self, _k: str) -> str:
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return ""
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def add_trace_event(self, **_kwargs: object) -> None:
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return None
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class _ManagerModel:
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def chat(self, _messages, _tools, *, on_token=None):
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return LLMResponse(
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content='{"route":{"specialist":"image","reason":"needs image edits"},"dispatch":{"instruction_text":"Please edit the image background."}}',
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tool_calls=[],
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)
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class _Exec:
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def __init__(self, model=None):
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self.model = model
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self.tools = object()
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self.system_prompt = ""
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monkeypatch.setattr(
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"oclaw.runtime.gateway.get_manager_prompt_prebuild",
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lambda **kwargs: {
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"manager_context": "manager",
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"allowed_fixed": ("generalist", "ops", "image", "memory"),
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"allowed_fixed_quoted": '"generalist", "ops", "image", "memory"',
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},
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)
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captured: dict = {}
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def _run_agent_core(**kwargs):
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data = kwargs.get("data")
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captured["exec_text"] = getattr(getattr(data, "msg", None), "text", None)
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return SimpleNamespace(outcome=SimpleNamespace(final_text="specialist_answer"))
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monkeypatch.setattr("oclaw.runtime.gateway.run_agent_core", _run_agent_core)
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chosen: dict[str, str] = {}
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def _factory(sid: str) -> object:
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chosen["sid"] = sid
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return _Exec(model=object())
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gw = OclawGateway(store=Store())
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msg = StandardMessage(
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session_id="sid-c1",
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tenant_id="t1",
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user_id="u1",
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role="user",
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channel="admin_chat",
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text="edit this image background",
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attachments=[],
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metadata={"interaction_mode": "comprehensive", "selected_specialist": "ops"},
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)
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out = gw.handle_turn(msg=msg, lang="en", executor=_Exec(model=_ManagerModel()), specialist_executor_factory=_factory)
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assert out.interaction_mode == "comprehensive"
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assert out.selected_specialist == "image"
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assert chosen.get("sid") == "image"
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assert captured.get("exec_text") == "Please edit the image background."
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def test_gateway_comprehensive_mode_writes_task_assignment_reasoning(monkeypatch: pytest.MonkeyPatch) -> None:
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written: list[dict] = []
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class Store:
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def get_setting(self, _k: str) -> str:
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return ""
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def add_trace_event(self, **_kwargs: object) -> None:
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return None
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def add_message(self, **kwargs: object) -> None:
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written.append(dict(kwargs))
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class _ManagerModel:
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def chat(self, _messages, _tools, *, on_token=None):
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return LLMResponse(
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content='{"route":{"specialist":"ops","reason":"ops task"},"dispatch":{"instruction_text":"请检查并修复网关启动失败。"}}',
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tool_calls=[],
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)
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class _Exec:
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def __init__(self, model=None):
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self.model = model
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self.tools = object()
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self.system_prompt = ""
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monkeypatch.setattr(
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"oclaw.runtime.gateway.get_manager_prompt_prebuild",
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lambda **kwargs: {
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"manager_context": "manager",
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"allowed_fixed": ("generalist", "ops", "image", "memory"),
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"allowed_fixed_quoted": '"generalist", "ops", "image", "memory"',
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},
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)
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monkeypatch.setattr(
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"oclaw.runtime.gateway.run_agent_core",
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lambda **kwargs: SimpleNamespace(outcome=SimpleNamespace(final_text="specialist_answer")),
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)
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gw = OclawGateway(store=Store())
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msg = StandardMessage(
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session_id="sid-assign-1",
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tenant_id="t1",
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user_id="u1",
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role="user",
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channel="admin_chat",
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text="网关起不来，帮我修复",
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attachments=[],
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metadata={"interaction_mode": "comprehensive"},
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)
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_ = gw.handle_turn(msg=msg, lang="zh", executor=_Exec(model=_ManagerModel()))
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reasoning_rows = [x for x in written if str(x.get("event_type") or "") == "reasoning"]
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assert reasoning_rows, "expected task-assignment reasoning row"
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content = str(reasoning_rows[-1].get("content") or "")
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assert "任务分配" in content
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assert "specialist=ops" in content
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assert "请检查并修复网关启动失败" in content
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def test_gateway_comprehensive_mode_has_manager_final_pass(monkeypatch: pytest.MonkeyPatch) -> None:
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class Store:
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def get_setting(self, _k: str) -> str:
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return ""
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def add_trace_event(self, **_kwargs: object) -> None:
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return None
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class _ManagerModel:
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def __init__(self) -> None:
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self.calls = 0
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def chat(self, _messages, _tools, *, on_token=None):
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self.calls += 1
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if self.calls == 1:
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return LLMResponse(
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content='{"route":{"specialist":"generalist","reason":"general"},"dispatch":{"instruction_text":"Analyze the finance report and provide key points."}}',
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tool_calls=[],
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)
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return LLMResponse(content="final_from_manager", tool_calls=[])
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class _Exec:
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def __init__(self, model=None):
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self.model = model
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self.tools = object()
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self.system_prompt = ""
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monkeypatch.setattr(
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"oclaw.runtime.gateway.get_manager_prompt_prebuild",
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lambda **kwargs: {
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"manager_context": "manager",
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"allowed_fixed": ("generalist", "ops", "image", "memory"),
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"allowed_fixed_quoted": '"generalist", "ops", "image", "memory"',
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},
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)
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monkeypatch.setattr(
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"oclaw.runtime.gateway.run_agent_core",
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lambda **kwargs: SimpleNamespace(outcome=SimpleNamespace(final_text="specialist_answer")),
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)
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gw = OclawGateway(store=Store())
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model = _ManagerModel()
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msg = StandardMessage(
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session_id="sid-d1",
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tenant_id="t1",
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user_id="u1",
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role="user",
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channel="admin_chat",
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text="analyze finance report",
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attachments=[],
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metadata={"interaction_mode": "comprehensive", "selected_specialist": "ops"},
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)
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out = gw.handle_turn(msg=msg, lang="en", executor=_Exec(model=model))
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assert out.interaction_mode == "comprehensive"
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assert out.selected_specialist == "generalist"
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assert out.reply_text == "final_from_manager"
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def test_gateway_comprehensive_mode_dynamic_agent_dispatches_instruction_only(monkeypatch: pytest.MonkeyPatch) -> None:
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class Store:
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def get_setting(self, _k: str) -> str:
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return ""
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def add_trace_event(self, **_kwargs: object) -> None:
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return None
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class _ManagerModel:
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def chat(self, _messages, _tools, *, on_token=None):
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return LLMResponse(
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content=(
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'{"route":{"specialist":"dyn:sql","reason":"needs ad-hoc expert"},'
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'"dispatch":{"instruction_text":"Write a SQL query to compute daily active users."},'
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'"dynamic_agent":{"name":"dyn:sql","system_prompt":"You are a SQL expert.","tool_policy":{"allow_tags":[],"allow_tools":[]},"reason":"dynamic"}}'
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),
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tool_calls=[],
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)
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class _Exec:
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def __init__(self, model=None):
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self.model = model
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self.tools = object()
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self.system_prompt = ""
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monkeypatch.setattr(
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"oclaw.runtime.gateway.get_manager_prompt_prebuild",
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lambda **kwargs: {
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"manager_context": "manager",
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"allowed_fixed": ("generalist", "ops", "image", "memory"),
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"allowed_fixed_quoted": '"generalist", "ops", "image", "memory"',
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},
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)
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monkeypatch.setattr("oclaw.runtime.gateway.build_ephemeral_executor", lambda *args, **kwargs: _Exec(model=object()))
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captured: dict = {}
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def _run_agent_core(**kwargs):
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data = kwargs.get("data")
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captured["exec_text"] = getattr(getattr(data, "msg", None), "text", None)
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return SimpleNamespace(outcome=SimpleNamespace(final_text="dynamic_specialist_answer"))
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monkeypatch.setattr("oclaw.runtime.gateway.run_agent_core", _run_agent_core)
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gw = OclawGateway(store=Store())
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msg = StandardMessage(
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session_id="sid-dyn-1",
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tenant_id="t1",
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user_id="u1",
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role="user",
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channel="admin_chat",
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text="How do I compute DAU from events table?",
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attachments=[],
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metadata={"interaction_mode": "comprehensive"},
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)
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out = gw.handle_turn(msg=msg, lang="en", executor=_Exec(model=_ManagerModel()))
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assert out.interaction_mode == "comprehensive"
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assert out.selected_specialist == "dyn:sql"
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assert captured.get("exec_text") == "Write a SQL query to compute daily active users."
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def test_gateway_comprehensive_mode_ignores_manager_self_and_dispatches_specialist(monkeypatch: pytest.MonkeyPatch) -> None:
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class Store:
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def get_setting(self, _k: str) -> str:
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return ""
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def add_trace_event(self, **_kwargs: object) -> None:
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return None
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class _ManagerModel:
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def __init__(self) -> None:
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self.calls = 0
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def chat(self, _messages, _tools, *, on_token=None):
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self.calls += 1
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if self.calls == 1:
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return LLMResponse(
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content='{"route":{"kind":"manager_self","specialist":"generalist","reason":"can answer directly"},"dispatch":{"instruction_text":"请直接给用户简明答案。"}}',
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tool_calls=[],
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)
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return LLMResponse(content="manager_self_final", tool_calls=[])
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class _Exec:
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def __init__(self, model=None):
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self.model = model
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self.tools = object()
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self.system_prompt = ""
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monkeypatch.setattr(
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"oclaw.runtime.gateway.get_manager_prompt_prebuild",
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lambda **kwargs: {
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"manager_context": "manager",
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"allowed_fixed": ("generalist", "ops", "image", "memory"),
|
|
"allowed_fixed_quoted": '"generalist", "ops", "image", "memory"',
|
|
},
|
|
)
|
|
|
|
captured: dict[str, str] = {}
|
|
|
|
def _run_agent_core(**kwargs):
|
|
data = kwargs["data"]
|
|
captured["exec_text"] = str(getattr(data.msg, "text", ""))
|
|
|
|
class _Outcome:
|
|
final_text = "specialist_result"
|
|
|
|
class _Out:
|
|
outcome = _Outcome()
|
|
|
|
return _Out()
|
|
|
|
monkeypatch.setattr("oclaw.runtime.gateway.run_agent_core", _run_agent_core)
|
|
|
|
gw = OclawGateway(store=Store())
|
|
msg = StandardMessage(
|
|
session_id="sid-self-1",
|
|
tenant_id="t1",
|
|
user_id="u1",
|
|
role="user",
|
|
channel="admin_chat",
|
|
text="请直接回答这个简单问题",
|
|
attachments=[],
|
|
metadata={"interaction_mode": "comprehensive"},
|
|
)
|
|
out = gw.handle_turn(msg=msg, lang="zh", executor=_Exec(model=_ManagerModel()))
|
|
assert out.interaction_mode == "comprehensive"
|
|
assert out.selected_specialist == "generalist"
|
|
assert captured.get("exec_text") == "请直接给用户简明答案。"
|
|
assert out.reply_text == "manager_self_final"
|
|
|
|
|
|
def test_gateway_command_hook_uses_parsed_command_and_context(monkeypatch: pytest.MonkeyPatch) -> None:
|
|
calls: list[dict] = []
|
|
|
|
class Store:
|
|
def get_setting(self, _k: str) -> str:
|
|
return ""
|
|
|
|
def add_trace_event(self, **_kwargs: object) -> None:
|
|
return None
|
|
|
|
def oclaw_task_create(self, **_kwargs: object) -> object:
|
|
class T:
|
|
id = "task-cmd-1"
|
|
task_type = "async_turn"
|
|
status = "queued"
|
|
|
|
return T()
|
|
|
|
monkeypatch.setattr("oclaw.runtime.gateway.ensure_worker_started", lambda store: "worker-1")
|
|
monkeypatch.setattr("oclaw.runtime.gateway.initialize_hooks_runtime", lambda **kwargs: 0)
|
|
monkeypatch.setattr(
|
|
"oclaw.runtime.gateway.get_active_hooks_config",
|
|
lambda: {"hooks": {"internal": {"enabled": True, "entries": {"session-memory": {"messages": 33}}}}},
|
|
)
|
|
|
|
def _capture(**kwargs):
|
|
calls.append(dict(kwargs))
|
|
|
|
monkeypatch.setattr("oclaw.runtime.gateway.trigger_hook_event", _capture)
|
|
|
|
gw = OclawGateway(store=Store())
|
|
msg = StandardMessage(
|
|
session_id="sid-cmd-1",
|
|
tenant_id="t1",
|
|
user_id="u1",
|
|
role="user",
|
|
channel="admin_chat",
|
|
text="／重置 now",
|
|
attachments=[],
|
|
metadata={"workspace_dir": "D:/ws", "source": "webchat"},
|
|
)
|
|
_ = gw.handle_turn(msg=msg, lang="zh", executor=object())
|
|
|
|
assert calls
|
|
command_events = [c for c in calls if c.get("event_type") == "command" and c.get("action") == "reset"]
|
|
assert command_events
|
|
event = command_events[-1]
|
|
assert event.get("session_key") == "sid-cmd-1"
|
|
ctx = event.get("context") or {}
|
|
assert ctx.get("workspaceDir") == "D:/ws"
|
|
assert ctx.get("commandSource") == "webchat"
|
|
cfg = ctx.get("cfg") or {}
|
|
assert ((cfg.get("hooks") or {}).get("internal") or {}).get("entries", {}).get("session-memory", {}).get("messages") == 33
|
|
sess = ctx.get("sessionEntry") or {}
|
|
assert sess.get("sessionId") == "sid-cmd-1"
|
|
|
|
|
|
def test_tabular_system_hint_uses_configured_preview_and_rows_read(
|
|
tmp_path, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
cfg = {
|
|
"plugins": {
|
|
"entries": {
|
|
"memory-wiki": {
|
|
"auto": {
|
|
"attachments": {
|
|
"tabular": {
|
|
"large_table_preview_rows": 30,
|
|
"max_rows_read": 5000,
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
cfg_path = tmp_path / "oclaw.json"
|
|
cfg_path.write_text(json.dumps(cfg, ensure_ascii=False), encoding="utf-8")
|
|
monkeypatch.setenv("AIA_OCLAW_CONFIG_PATH", str(cfg_path))
|
|
|
|
zh_hint = OclawGateway._tabular_query_system_hint("zh")
|
|
en_hint = OclawGateway._tabular_query_system_hint("en")
|
|
|
|
assert "前30行" in zh_hint
|
|
assert "5000行" in zh_hint
|
|
assert "first 30 preview rows" in en_hint
|
|
assert "capped at 5000 rows" in en_hint
|