feat: enable full AI automation and safe startup updates
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"""Automation acceptance checks with isolated persistence and no real device side effects."""
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from io import BytesIO
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import json
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import time
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from unittest.mock import AsyncMock
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import zipfile
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from fastapi import FastAPI
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from fastapi.testclient import TestClient
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from openpyxl import load_workbook
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import pytest
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from apps.admin_console.routers import automation as api
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from apps.admin_console.services import automation_service as service
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from apps.admin_console.services import report_export as reports
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from apps.admin_console.services import task_import
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from apps.admin_console.services.automation_store import AutomationStore
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from artemis.data_engine.storage import StorageManager
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@pytest.fixture
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def isolated(tmp_path, monkeypatch):
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db = tmp_path / "data.db"
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StorageManager(db_path=db, base_trace_dir=tmp_path)
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store = AutomationStore(db)
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for module in (api, service, reports):
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monkeypatch.setattr(module, "store", store)
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monkeypatch.setattr(reports, "TRACES_PATH", tmp_path / "traces")
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monkeypatch.setattr(reports, "EXPORT_ROOT", tmp_path / "exports")
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from apps.admin_console.database.repositories.session_repository import SessionRepository
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from apps.admin_console.database.repositories.step_repository import StepRepository
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monkeypatch.setattr(reports, "SessionRepository", lambda *a: SessionRepository(db))
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monkeypatch.setattr(reports, "StepRepository", lambda *a: StepRepository(db))
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return store
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@pytest.fixture
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def client(isolated):
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app = FastAPI()
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app.include_router(api.router)
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return TestClient(app)
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def payload(**extra):
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return {
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"name": "批次",
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"cases": [{"name": "用例甲", "goal": "观察设置"}, {"name": "用例乙", "goal": "观察首页"}],
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"device_serial": "test-device",
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**extra,
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}
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def workbook_bytes(rows):
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wb = load_workbook(BytesIO(task_import.template()))
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for row in rows:
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wb["任务"].append(row)
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output = BytesIO()
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wb.save(output)
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return output.getvalue()
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def test_template_preview_rejects_formula_and_bad_json():
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data = workbook_bytes(
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[
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["正常", "打开设置", "", "", "", '{"name":"测试"}', "冒烟"],
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["公式", "=SUM(1,2)"],
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["参数错误", "测试", "", "", "", "{"],
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]
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)
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result = task_import.parse_workbook(data)
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assert len(result["tasks"]) == 1
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assert [e["row"] for e in result["errors"]] == [3, 4]
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assert not result["valid"]
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def test_invalid_archive_and_empty_template():
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with pytest.raises(ValueError):
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task_import.parse_workbook(b"not a zip")
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assert not task_import.parse_workbook(task_import.template())["valid"]
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def test_preview_does_not_enqueue(client, isolated):
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response = client.post(
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"/api/automation/import/preview",
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files={"file": ("tasks.xlsx", workbook_bytes([["案例", "观察页面"]]))},
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)
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assert response.status_code == 200
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assert response.json()["valid"]
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assert not isolated.jobs()
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def test_preferences_and_required_device(client):
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assert client.get("/api/automation/preferences").json()["formats"] == ["docx", "xlsx"]
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assert client.put("/api/automation/preferences", json={"formats": ["xlsx"]}).status_code == 200
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assert client.put("/api/automation/preferences", json={"formats": []}).status_code == 422
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assert client.post("/api/automation/batches", json=payload(device_serial="")).status_code == 422
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def test_restart_never_repeats_started_work(isolated):
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batch = service.create_batch(payload())
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service.batch_action(batch["id"], "resume")
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job = isolated.jobs(batch["id"])[0]
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isolated.save_job({**job, "status": "queued"})
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service.recover_batches()
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assert isolated.get("batch", batch["id"])["status"] == "paused"
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assert [j["status"] for j in isolated.jobs(batch["id"])] == ["interrupted", "pending"]
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retry = service.batch_action(batch["id"], "retry_failed")
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assert retry["status"] == "draft"
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assert len(isolated.jobs(retry["id"])) == 1
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assert isolated.jobs(retry["id"])[0]["session_id"] != job["session_id"]
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@pytest.mark.asyncio
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async def test_batch_admission_idempotent_and_bound_device(isolated, monkeypatch):
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from apps.admin_console import server
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batch = service.create_batch(payload())
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service.batch_action(batch["id"], "resume")
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monkeypatch.setattr(service, "state", type("State", (), {"is_paused": False})())
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enqueue = AsyncMock(return_value={"tasks": [{"device_serial": "test-device"}]})
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monkeypatch.setattr(server.task_queue_service, "enqueue_tasks", enqueue)
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monkeypatch.setattr(
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"artemis.runtime.device_pool.validate_explicit_serial_async", AsyncMock(return_value=None)
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)
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from artemis.runtime.device_pool import DeviceStatus
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monkeypatch.setattr(
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"artemis.runtime.device_pool.try_list_devices_async",
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AsyncMock(return_value=[DeviceStatus(serial="test-device", state="device")]),
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)
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await service.tick_batches()
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await service.tick_batches()
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assert enqueue.await_count == 1
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assert enqueue.call_args.kwargs["device_serial"] == "test-device"
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assert isolated.jobs(batch["id"])[1]["status"] == "pending"
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@pytest.mark.asyncio
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async def test_device_outage_pauses_without_consuming_pending_case(isolated, monkeypatch):
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batch = service.create_batch(payload())
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service.batch_action(batch["id"], "resume")
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monkeypatch.setattr(service, "state", type("State", (), {"is_paused": False})())
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monkeypatch.setattr(
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"artemis.runtime.device_pool.try_list_devices_async", AsyncMock(return_value=[])
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)
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await service.tick_batches()
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assert isolated.get("batch", batch["id"])["status"] == "paused"
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assert all(job["status"] == "pending" for job in isolated.jobs(batch["id"]))
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@pytest.mark.asyncio
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async def test_fail_fast_includes_skipped_reports(isolated, monkeypatch):
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batch = service.create_batch(payload(stop_on_failure=True))
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first = isolated.jobs(batch["id"])[0]
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isolated.save_job({**first, "status": "failed"})
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service.batch_action(batch["id"], "resume")
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await service.tick_batches()
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assert [j["status"] for j in isolated.jobs(batch["id"])] == ["failed", "skipped"]
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archive = reports.export_batch(batch["id"])
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with zipfile.ZipFile(archive) as z:
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assert len(z.namelist()) == 6 # two summary files + two files per task
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assert sum(n.endswith(".docx") for n in z.namelist()) == 3
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@pytest.mark.asyncio
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async def test_report_failure_does_not_strand_job(isolated, monkeypatch):
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job = isolated.jobs(service.create_batch(payload())["id"])[0]
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monkeypatch.setattr(
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reports, "export_session", lambda *a: (_ for _ in ()).throw(OSError("disk full"))
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)
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await service.on_terminal({"session_id": job["session_id"]}, "completed")
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saved = isolated.job(job["session_id"])
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assert saved["status"] == "completed"
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assert "disk full" in saved["report_error"]
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def test_reports_do_not_execute_formulas_or_invent_pass(isolated):
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batch = service.create_batch(payload())
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job = isolated.jobs(batch["id"])[0]
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isolated.save_job(
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{**job, "case": {"name": "=1+1", "goal": '=HYPERLINK("x")'}, "status": "completed"}
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)
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report = reports.session_report(job["session_id"])
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assert report["verdict"].startswith("未验证")
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assert reports.verdict({"tests": {"passed": 2, "failed": 1}}) == "验证失败"
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assert reports.verdict({"tests": {"passed": 2, "unchecked": 1}}) == "验证不完整"
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paths = reports.export_session(job["session_id"])
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wb = load_workbook(next(p for p in paths if p.suffix == ".xlsx"))
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assert wb["任务结果"]["B3"].data_type == "s"
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with zipfile.ZipFile(next(p for p in paths if p.suffix == ".docx")) as doc:
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assert "未验证".encode() in doc.read("word/document.xml")
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def test_history_filters_all_persisted_rows_and_escapes_like(client, isolated):
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batch = service.create_batch(payload())
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first, second = isolated.jobs(batch["id"])
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isolated.save_job(
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{
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**first,
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"status": "completed",
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"created_at": 100,
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"case": {"name": "搜索_%", "goal": "abc", "tags": "回归"},
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}
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)
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isolated.save_job({**second, "status": "failed", "created_at": 200})
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assert client.get("/api/automation/history", params={"q": "_%"}).json()["total"] == 1
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assert (
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client.get("/api/automation/history", params={"q": "回归"}).json()["items"][0]["session_id"]
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== first["session_id"]
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)
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assert (
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client.get(
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"/api/automation/history", params={"start": 150, "end": 250, "status": "failed"}
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).json()["total"]
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== 1
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)
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assert (
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client.get("/api/automation/history", params={"size": 1, "page": 2}).json()["items"][0][
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"session_id"
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]
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== first["session_id"]
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)
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def test_batch_submission_is_atomic_and_idempotent(client, isolated):
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value = payload(request_id="same-request")
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first = client.post("/api/automation/batches", json=value)
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second = client.post("/api/automation/batches", json=value)
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assert first.status_code == second.status_code == 200
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assert first.json()["id"] == second.json()["id"]
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assert len(isolated.jobs()) == 2
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assert len(isolated.records("batch")) == 1
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conflict = client.post("/api/automation/batches", json={**value, "name": "different"})
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assert conflict.status_code == 409
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lookup = client.get("/api/automation/batches/by-request/same-request").json()
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assert lookup["id"] == first.json()["id"]
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assert len(lookup["jobs"]) == 2
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def test_removed_replay_is_inert_but_history_survives(client, isolated):
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batch = service.create_batch(payload())
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job = isolated.jobs(batch["id"])[0]
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isolated.save_job({**job, "execution_mode": "strict", "workflow_id": "legacy"})
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service.recover_batches()
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assert isolated.get("batch", batch["id"])["status"] == "cancelled"
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assert all(j["status"] == "cancelled" for j in isolated.jobs(batch["id"]))
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assert client.post(f"/api/automation/batches/{batch['id']}/resume").status_code == 409
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assert client.post(f"/api/automation/batches/{batch['id']}/retry_failed").status_code == 409
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assert client.get("/api/automation/workflows").status_code == 404
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assert client.get("/api/automation/history").json()["total"] == 2
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@@ -22,6 +22,8 @@ def isolated_settings(monkeypatch, tmp_path):
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"OPENAI_BASE_URL",
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"OPENAI_TIMEOUT_SECONDS",
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"OPENAI_MAX_RETRIES",
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"OPENAI_RETRY_INTERVAL_SECONDS",
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"OPENAI_REASONING_EFFORT",
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"ARTEMIS_VIDEO_ENABLED",
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"ARTEMIS_OUTPUTTER_ENABLED",
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"ARTEMIS_STEP_SUMMARIZER_ENABLED",
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@@ -85,7 +87,7 @@ def test_capabilities_persist_and_apply_to_new_tasks(isolated_settings):
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assert config.pro.video_analyzer.enabled is False
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assert config.outputter.enabled is False
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assert config.flash.step_summarizer.enabled is False
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service.save_capability_settings(service.CapabilitySettings())
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service.save_capability_settings(service.CapabilitySettings(video_enabled=True))
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assert load_agent_config().video_analyzer.enabled is True
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@@ -106,3 +108,34 @@ def test_key_not_in_validation_errors(isolated_settings):
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service.ModelSettingsUpdate(model="test", api_key="secret\nvalue")
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)
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assert "secret" not in str(exc.value)
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def test_reasoning_retry_settings_roundtrip(isolated_settings):
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result = service.save_model_settings(service.ModelSettingsUpdate(model="gpt-5.6-luna"))
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assert result["timeout_seconds"] == 300
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assert result["max_retries"] == 5
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assert result["retry_interval_seconds"] == 10
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assert result["reasoning_effort"] == "high"
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saved = Settings(_env_file=isolated_settings)
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assert saved.OPENAI_REASONING_EFFORT == "high"
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assert parse_llm_config().operator.reasoning_effort == "high"
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service.save_model_settings(
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service.ModelSettingsUpdate(model="custom", reasoning_effort="default")
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)
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assert parse_llm_config().operator.reasoning_effort == "default"
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def test_responses_payload_has_reasoning_and_no_sdk_retry(monkeypatch):
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from artemis.llm.router import ModelEndpoint, ModelFactory
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from unittest.mock import Mock
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factory = Mock()
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monkeypatch.setattr("langchain_openai.ChatOpenAI", factory)
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ModelFactory.create_model(
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ModelEndpoint(api_key="test-only", reasoning_effort="high", max_retries=5)
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)
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assert factory.call_args.kwargs["reasoning_effort"] == "high"
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assert factory.call_args.kwargs["max_retries"] == 0
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assert factory.call_args.kwargs["use_responses_api"] is True
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ModelFactory.create_model(ModelEndpoint(api_key="test-only", reasoning_effort="default"))
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assert "reasoning_effort" not in factory.call_args.kwargs
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