jiang
f4318a9b9c
Unify the Agent history extension with the header acrylic surface, preserve the full conversation body, and consolidate shared control and status styling. Restore map flow and SCADA controller behavior, remove obsolete rendering paths, and extend regression coverage. Button press coverage now releases outside the target so state assertions cannot accidentally toggle the control.
92 lines
3.9 KiB
TypeScript
92 lines
3.9 KiB
TypeScript
import type { FeatureCollection } from "geojson";
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import { describe, expect, it } from "vitest";
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import {
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SCADA_ANALYSIS_LAYER_IDS,
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SCADA_ANALYSIS_LEVEL_COLORS,
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createScadaAnalysisCollection,
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parseScadaAnalysisItems,
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scadaAnalysisLayers
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} from "./scada-analysis";
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describe("SCADA analysis overlay", () => {
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it("uses distinct semantic rings, status indicators, and legible priority labels", () => {
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const casing = scadaAnalysisLayers.find((layer) => layer.id === SCADA_ANALYSIS_LAYER_IDS.casing);
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const level = scadaAnalysisLayers.find((layer) => layer.id === SCADA_ANALYSIS_LAYER_IDS.level);
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const indicator = scadaAnalysisLayers.find((layer) => layer.id === SCADA_ANALYSIS_LAYER_IDS.indicator);
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const label = scadaAnalysisLayers.find((layer) => layer.id === SCADA_ANALYSIS_LAYER_IDS.label);
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expect(SCADA_ANALYSIS_LEVEL_COLORS).toEqual({
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high: "#C34A4A",
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medium: "#C66A16",
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low: "#2E8B64",
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unrated: "#7656C7"
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});
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expect(casing).toMatchObject({
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type: "circle",
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paint: { "circle-radius": 20, "circle-stroke-color": "#FFFFFF", "circle-stroke-width": 8 }
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});
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expect(JSON.stringify(level)).toContain(SCADA_ANALYSIS_LEVEL_COLORS.high);
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expect(JSON.stringify(level)).toContain(SCADA_ANALYSIS_LEVEL_COLORS.medium);
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expect(JSON.stringify(level)).toContain(SCADA_ANALYSIS_LEVEL_COLORS.low);
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expect(JSON.stringify(level)).toContain(SCADA_ANALYSIS_LEVEL_COLORS.unrated);
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expect(level).toMatchObject({ paint: { "circle-radius": 20, "circle-stroke-width": 5 } });
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expect(indicator).toMatchObject({
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type: "circle",
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paint: {
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"circle-radius": 6,
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"circle-translate": [14, -14],
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"circle-stroke-color": "#FFFFFF",
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"circle-stroke-width": 2
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}
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});
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expect(label).toMatchObject({
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type: "symbol",
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layout: {
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"symbol-sort-key": ["get", "sort_priority"],
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"text-field": ["get", "analysis_label"],
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"text-size": 18,
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"text-font": ["Noto Sans Regular"],
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"text-allow-overlap": false
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},
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paint: { "text-halo-color": "#FFFFFF", "text-halo-width": 4, "text-halo-blur": 0.5 }
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});
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expect(JSON.stringify(label)).toContain("#9C3036");
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expect(JSON.stringify(label)).toContain("#8C470D");
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expect(JSON.stringify(label)).toContain("#1F6F4D");
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expect(JSON.stringify(label)).toContain("#573E9C");
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});
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it("validates one to one hundred unique IDs and fixed levels", () => {
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expect(parseScadaAnalysisItems([{ sensor_id: " MP01 ", level: "high" }])).toEqual([
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{ sensor_id: "MP01", level: "high" }
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]);
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expect(parseScadaAnalysisItems([])).toBeNull();
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expect(parseScadaAnalysisItems([{ sensor_id: "MP01", level: "high" }, { sensor_id: "MP01", level: "low" }])).toBeNull();
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expect(parseScadaAnalysisItems([{ sensor_id: "MP01", level: "critical" }])).toBeNull();
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});
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it("uses trusted WFS sensor IDs for localized labels and reports partial misses", () => {
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const result = createScadaAnalysisCollection(scadaCollection, [
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{ sensor_id: "MP01", level: "high" },
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{ sensor_id: "MP02", level: "medium" },
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{ sensor_id: "MP404", level: "low" }
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]);
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expect(result.result).toEqual({
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rendered_ids: ["MP01", "MP02"],
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missing_ids: ["MP404"],
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level_counts: { high: 1, medium: 1, low: 0, unrated: 0 }
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});
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expect(result.collection.features.map((feature) => feature.properties)).toEqual([
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expect.objectContaining({ sensor_id: "MP01", analysis_label: "MP01 · 高", sort_priority: 0 }),
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expect.objectContaining({ sensor_id: "MP02", analysis_label: "MP02 · 中", sort_priority: 1 })
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]);
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});
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});
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const scadaCollection: FeatureCollection = {
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type: "FeatureCollection",
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features: [
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{ type: "Feature", geometry: { type: "Point", coordinates: [120.7, 28] }, properties: { sensor_id: "MP01" } },
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{ type: "Feature", geometry: { type: "Point", coordinates: [120.72, 28.02] }, properties: { sensor_id: "MP02" } }
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]
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};
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