jiang
2e4f6cb93b
Add isolated burst and pollution impact evidence, parallel work-order workflows, persisted notifications and graph updates. Checkpoint current code. Known follow-ups remain for large pollution result previews and graceful geometry failure.
148 lines
8.0 KiB
Python
148 lines
8.0 KiB
Python
import asyncio
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import json
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from datetime import datetime, timezone
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from types import SimpleNamespace
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from unittest.mock import AsyncMock
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from uuid import uuid4
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import pytest
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from fastapi import HTTPException
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from app.mcp import query_service
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from app.mcp.catalog import TOOLS
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from app.mcp.models import BoundContext, TaskContextInput
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from app.mcp.work_order_skills import read_work_order_skill
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@pytest.mark.parametrize("workflow,name", [
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("burst_report", "burst-event-handling"),
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("water_quality_complaint", "water-quality-complaint"),
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("general", "appointment-follow-up"),
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("scada_anomaly", "scada-anomaly"),
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("water_pollution", "water-pollution-event"),
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])
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def test_skill_descriptor_and_body_have_same_version_and_digest(workflow, name):
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descriptor = read_work_order_skill(workflow)
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body = read_work_order_skill(workflow, include_content=True)
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assert descriptor == {key: value for key, value in body.items() if key != "instructions"}
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assert body["name"] == name and body["version"]
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assert len(body["content_sha256"]) == 64 and body["instructions"]
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assert "instructions" not in descriptor
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# MCP task context has no evidence resource fallback: the complete instructions
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# and result envelope must fit its inline response budget.
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assert len(json.dumps(body, ensure_ascii=False).encode()) < 10000
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@pytest.mark.parametrize("workflow", [None, "unknown", "../../secrets", "burst-report"])
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def test_unknown_workflow_never_falls_back_or_reads_an_arbitrary_path(workflow):
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assert read_work_order_skill(workflow)["available"] is False
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def test_work_order_handling_and_legacy_scada_replay_receive_separate_skills():
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handling = read_work_order_skill("burst_report", include_content=True)
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replay = read_work_order_skill("burst_report", replay_context={"replay_id": "r"}, include_content=True)
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assert handling["name"] == "burst-event-handling"
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assert replay["name"] == "scada-anomaly"
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assert replay["workflow"] == "burst_report"
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assert "影响说明" in handling["instructions"]
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assert "supply_affected_nodes" in handling["instructions"]
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assert "run_burst_location" not in handling["instructions"]
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assert "run_burst_location" in replay["instructions"]
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def test_scada_instructions_advance_candidate_analysis_independently_of_source_labels():
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skill = read_work_order_skill("scada_anomaly", include_content=True)
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text = skill["instructions"]
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assert "location_capability" in text
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assert "证据来源字段用于记录数据取得方式，不构成停止分析的条件" in text
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assert "隔离边界、节点覆盖与影响分析，完成报告后再收尾" in text
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assert "现场工单与设备操作遵守服务端动作权限" in text
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assert not any(word in text for word in ("演示", "mock", "location_demo", "只发布回放成果"))
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def test_pollution_instructions_offer_work_order_before_simulation_and_reuse_the_investigation():
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skill = read_work_order_skill("water_pollution", include_content=True)
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text = skill["instructions"]
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assert text.index("propose_task_action") < text.index("run_contaminant_simulation")
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assert "include_impact_coverage=true" in text and "不等模拟完成才发起工单" in text
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assert "同一 task_id" in text and "不覆盖已审核工单或绕过版本校验" in text
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assert "模型曲线不填观测专用 chart.scada" in text
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assert "不能把浊度、余氯下降或感官描述直接换算成污染源浓度" in text
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@pytest.mark.parametrize("workflow", ["burst_report", "water_quality_complaint", "water_pollution"])
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def test_task_skill_uses_persisted_workflow_and_preserves_task_scope(monkeypatch, workflow):
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task_id, project_id = uuid4(), uuid4()
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reader = AsyncMock(return_value={"task": {"workflow": workflow}})
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monkeypatch.setattr(query_service.reads, "task_context_summary", reader)
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monkeypatch.setattr(query_service, "permissions_for_context", lambda project: {"operational_task.view"})
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scope = SimpleNamespace(connection=object(), project=object())
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binding = BoundContext(
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context_handle="a" * 43, project_id=project_id, subject="u", client_id="host",
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native_session_id="s", purpose="task_execution", task_id=task_id,
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tool_cap=["get_task_context"], permission_cap=["operational_task.view"],
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expires_at=datetime.now(timezone.utc),
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)
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def query(section):
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return asyncio.run(query_service.execute_query(scope, binding, TOOLS["get_task_context"],
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TaskContextInput(context_handle=binding.context_handle, section=section)))
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summary = query("summary")
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body = query("skill")
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assert summary.data["handling_skill"]["content_sha256"] == body.data["skill"]["content_sha256"]
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assert summary.data["display_time_zone"] == "Asia/Shanghai"
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assert body.data["skill"]["workflow"] == workflow
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for result in (summary, body):
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assert ("source_trace_capability" in result.data) == (workflow == "water_pollution")
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if workflow == "water_pollution":
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assert result.data["source_trace_capability"]["tool"] == "run_contaminant_source_trace"
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capability = result.data["source_trace_capability"]
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assert capability["work_order_wait_blocks_analysis"] is False
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assert capability["simulation_parameters"] == {"include_impact_coverage": True}
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assert capability["next_steps"].index("propose_task_action") < capability["next_steps"].index("run_contaminant_simulation")
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assert body.data["skill"]["instructions"] and not body.truncated
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assert body.evidence_id is None and body.semantics == "task"
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reader.assert_awaited_with(scope.connection, project_id=project_id, task_id=task_id, report_revision=None)
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binding.permission_cap = []
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with pytest.raises(HTTPException) as caught:
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query("skill")
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assert caught.value.status_code == 403 and reader.await_count == 2
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@pytest.mark.parametrize("extra", [{"workflow": "general"}, {"data_path": ["instructions"]}, {"offset": 1}])
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def test_skill_input_cannot_select_another_workflow_or_partial_instructions(extra):
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with pytest.raises(ValueError):
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TaskContextInput(context_handle="a" * 43, section="skill", **extra)
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def test_replay_context_advertises_demo_location_without_revealing_truth(monkeypatch):
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from app.services import burst_location_demo as demo
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monkeypatch.setattr(query_service.reads, "task_context_summary", AsyncMock(
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return_value={"task": {"workflow": "scada_anomaly"}}))
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monkeypatch.setattr(query_service, "permissions_for_context", lambda _: {"operational_task.view"})
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scope = SimpleNamespace(connection=object(), project=SimpleNamespace(project_code="tjwater2_v2"))
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binding = BoundContext(
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context_handle="a" * 43, project_id=uuid4(), subject="u", client_id="host",
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native_session_id="s", purpose="task_execution", task_id=uuid4(),
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tool_cap=["get_task_context", "run_burst_location"], permission_cap=["operational_task.view"],
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expires_at=datetime.now(timezone.utc),
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replay_context={"replay_id": "r", "knowledge_cutoff": demo.EVENT_START.isoformat(), "batch_sequence": 3},
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)
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for section in ("summary", "skill"):
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result = asyncio.run(query_service.execute_query(scope, binding, TOOLS["get_task_context"],
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TaskContextInput(context_handle=binding.context_handle, section=section)))
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capability = result.data["location_capability"]
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assert "location_demo" not in result.data
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assert capability["available"] is True
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assert capability["tool"] == "run_burst_location"
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assert capability["burst_leakage_required"] is False
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assert datetime.fromisoformat(capability["scada_burst_end"]) <= demo.EVENT_START
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assert all(key not in json.dumps(capability) for key in (demo.REFERENCE_PIPE, demo.REFERENCE_NODE, demo.CANDIDATE_PIPE))
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binding.replay_context["knowledge_cutoff"] = "2026-07-15T23:45:00Z"
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result = asyncio.run(query_service.execute_query(scope, binding, TOOLS["get_task_context"],
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TaskContextInput(context_handle=binding.context_handle)))
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assert result.data["location_capability"]["available"] is False
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