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.
69 lines
3.3 KiB
Python
69 lines
3.3 KiB
Python
import asyncio
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from contextlib import asynccontextmanager
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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 pydantic import ValidationError
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from app.mcp import analysis_service, query_service
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from app.mcp.analysis_models import ContaminantSimulationInput
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from app.mcp.calculation_jobs import should_queue
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from app.mcp.catalog import TOOLS
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def args(**extra):
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return ContaminantSimulationInput(context_handle="a" * 43, **({
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"start_time": "2026-07-16T08:00:00+08:00", "duration": 1800,
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"output_node_ids": ["Q1"], "source": "Q1", "concentration": 1,
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"include_impact_coverage": True, "impact_threshold_mg_l": 0.01,
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} | extra))
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@pytest.mark.parametrize("extra", [{"impact_threshold_mg_l": -1}, {"impact_threshold_mg_l": float("nan")},
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{"include_impact_coverage": "true"}])
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def test_impact_inputs_reject_invalid_thresholds_and_flags(extra):
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with pytest.raises(ValidationError): args(**extra)
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def context(monkeypatch):
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monkeypatch.setattr(query_service, "permissions_for_context", lambda _: {"simulation.run", "scada.view"})
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@asynccontextmanager
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async def routing():
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yield
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scope = SimpleNamespace(connection=SimpleNamespace(commit=AsyncMock()),
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project=SimpleNamespace(project_code="project", project_role="member"), user=SimpleNamespace(username="actor"),
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simulation_routing=routing)
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binding = SimpleNamespace(tool_cap=["run_contaminant_simulation"], permission_cap=["simulation.run", "scada.view"],
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purpose="task_execution", task_id=uuid4(), task_scope_cap=[],
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replay_context={"knowledge_cutoff": "2026-07-16T08:00:00+08:00"})
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return scope, binding
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def test_replay_prediction_can_extend_past_cutoff_without_reading_future_observations(monkeypatch):
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scope, binding = context(monkeypatch)
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worker = AsyncMock(return_value={"impact": {"affected_node_count": 2}})
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monkeypatch.setattr(analysis_service, "calculate_replay_contaminant_simulation", worker)
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result = asyncio.run(query_service.execute_query(scope, binding, TOOLS["run_contaminant_simulation"], args()))
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assert result.origin == "synthetic" and result.data["result"]["impact"]["affected_node_count"] == 2
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assert "预测" in result.data_gaps[0]
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scope.connection.commit.assert_awaited_once()
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worker.assert_awaited_once()
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assert worker.await_args.kwargs == {"network": "project", "username": "actor"}
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assert should_queue(TOOLS["run_contaminant_simulation"], args())
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@pytest.mark.parametrize("problem", ["future_start", "no_impact", "reader", "permission"])
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def test_replay_admission_keeps_time_permission_and_reader_boundaries(monkeypatch, problem):
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scope, binding = context(monkeypatch)
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parameters = args()
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if problem == "future_start": parameters = args(start_time="2026-07-16T08:15:00+08:00")
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if problem == "no_impact": parameters = args(include_impact_coverage=False)
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if problem == "reader": binding.purpose = "task_reader"
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if problem == "permission": binding.permission_cap.remove("scada.view")
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with pytest.raises(HTTPException) as caught:
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asyncio.run(query_service.authorize_query(scope, binding, TOOLS["run_contaminant_simulation"], parameters))
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assert caught.value.status_code == (422 if problem in {"future_start", "no_impact"} else 403)
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