Use project-scoped endpoints and run IDs for current project, SCADA metadata, historical time series, migrated DMA results, and sensor placement runs. The regressions recurred because tests mocked pre-interceptor and new-only payload shapes, while history queries relied on implicit global scheme state and unbounded request fan-out. Cover post-interceptor pages, migrated result_rows, explicit run_id routing, multi-element requests, request limits, and cancellation.
86 lines
2.5 KiB
TypeScript
86 lines
2.5 KiB
TypeScript
import dayjs from "dayjs";
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import { api } from "@/lib/api";
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import {
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buildBurstDetectionRequest,
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createBurstDetectionAnalysisParametersState,
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fetchPressureSamplingInterval,
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parseScadaFrequencyMinutes,
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resolvePressureSamplingInterval,
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} from "./AnalysisParameters";
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jest.mock("@/lib/api", () => ({
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api: {
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get: jest.fn(),
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},
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}));
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const get = api.get as jest.Mock;
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describe("burst detection request", () => {
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beforeEach(() => {
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get.mockReset();
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});
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it("requests the latest complete monitoring time by default", () => {
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const state = createBurstDetectionAnalysisParametersState();
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state.schemeName = " latest-case ";
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expect(buildBurstDetectionRequest(state)).toEqual({
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scheme_name: "latest-case",
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sampling_interval_minutes: 15,
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});
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expect(state.detectionMode).toBe("latest");
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expect(state.targetTime).not.toBeNull();
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expect(state.targetTime!.minute() % 15).toBe(0);
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});
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it("sends one target time for historical replay", () => {
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const targetTime = dayjs("2026-06-20T13:30:00+08:00");
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expect(
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buildBurstDetectionRequest(
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{
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schemeName: "history-case",
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detectionMode: "historical",
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targetTime,
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samplingIntervalMinutes: 30,
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samplingIntervalSource: "manual",
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},
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),
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).toEqual({
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scheme_name: "history-case",
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sampling_interval_minutes: 30,
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target_time: targetTime.toISOString(),
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});
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});
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it("uses the dominant pressure SCADA frequency as the editable default", () => {
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expect(parseScadaFrequencyMinutes("0:15:00")).toBe(15);
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expect(parseScadaFrequencyMinutes("1:00:00")).toBe(60);
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expect(
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resolvePressureSamplingInterval([
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{ device_type: "pressure", transmission_frequency: "0:15:00" },
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{ device_type: "pressure", transmission_frequency: "0:15:00" },
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{ device_type: "pressure", transmission_frequency: "0:30:00" },
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{ device_type: "pipe_flow", transmission_frequency: "1:00:00" },
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]),
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).toBe(15);
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});
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it("loads the pressure frequency from the pooled SCADA metadata endpoint", async () => {
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get.mockResolvedValue({
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data: {
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success: true,
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count: 2,
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data: [
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{ device_type: "pressure", transmission_frequency: "0:30:00" },
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{ device_type: "pipe_flow", transmission_frequency: "0:15:00" },
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],
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},
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});
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await expect(fetchPressureSamplingInterval()).resolves.toBe(30);
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expect(get).toHaveBeenCalledWith("/api/v1/scada-info/database-view");
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});
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});
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