103 lines
5.0 KiB
C++
103 lines
5.0 KiB
C++
#include <gtest/gtest.h>
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#include <QJsonDocument>
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#include <QJsonObject>
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#include <QJsonArray>
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#include "dto/DatasetChartDto.hpp"
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using namespace geopro::data::dto;
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static QJsonObject obj(const char* json) {
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return QJsonDocument::fromJson(json).object();
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}
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TEST(DatasetChartDto, ParsesInversionGrid) {
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auto d = obj(R"({"x":[0,1],"y":[0,1,2],"v":[[1,2],[3,4],[5,6]],"vmin":1,"vmax":6})");
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auto g = parseInversionGrid(d);
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EXPECT_EQ(g.nx(), 2); EXPECT_EQ(g.ny(), 3);
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EXPECT_DOUBLE_EQ(g.valueAt(1, 2), 6.0);
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EXPECT_DOUBLE_EQ(g.vmax, 6.0);
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}
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TEST(DatasetChartDto, ParsesColorBar) {
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// Real API colorBar format: MIXED hex (#RRGGBB) and CSS rgba() with alpha in 0–1 scale
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// (verified live: lvl/colorGradation/getDetail returns e.g. ["1.51","rgba(0, 0, 170, 1)"]).
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// Every stop must render OPAQUE (alpha=255); the rgba a=1 must map to 255, not 1.
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const char* colorBarJson =
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"{\"properties\":{\"colorBar\":["
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"[\"0.00\",\"#00008B\"],"
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"[\"1.51\",\"rgba(0, 0, 170, 1)\"],"
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"[\"60.77\",\"#FFFF00\"],"
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"[\"138.20\",\"rgba(255, 128, 0, 1)\"]]}}";
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auto d = obj(colorBarJson);
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auto cs = parseColorBar(d);
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auto stops = cs.stops();
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ASSERT_EQ(stops.size(), 4u);
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EXPECT_DOUBLE_EQ(stops[0].first, 0.0);
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EXPECT_DOUBLE_EQ(stops[1].first, 1.51);
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// hex stop → exact rgb, opaque
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EXPECT_EQ(stops[0].second.r, 0); EXPECT_EQ(stops[0].second.g, 0);
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EXPECT_EQ(stops[0].second.b, 0x8B); EXPECT_EQ(stops[0].second.a, 255);
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// rgba(a=1) stop → exact rgb, OPAQUE (regression: was alpha=1 under Bit255 → near-transparent)
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EXPECT_EQ(stops[1].second.r, 0); EXPECT_EQ(stops[1].second.g, 0);
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EXPECT_EQ(stops[1].second.b, 170); EXPECT_EQ(stops[1].second.a, 255);
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EXPECT_EQ(stops[3].second.r, 255); EXPECT_EQ(stops[3].second.g, 128);
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EXPECT_EQ(stops[3].second.b, 0); EXPECT_EQ(stops[3].second.a, 255);
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// every stop opaque
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for (const auto& s : stops) EXPECT_EQ(s.second.a, 255) << "value=" << s.first;
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}
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TEST(DatasetChartDto, ParsesAnomalyPolyline) {
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auto arr = QJsonDocument::fromJson(
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R"([{"exceptionName":"A1","exceptionTypeName":"AnomalyZone","exceptionMarkType":2,
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"legend":{"polylineColor":"#0D0101","polylineWidth":4,"polylineShape":"dash"},
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"location":{"coordinate":[{"x":1,"y":2},{"x":3,"y":4}]}}])").array();
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auto v = parseDatasetAnomalies(arr);
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ASSERT_EQ(v.size(), 1u);
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EXPECT_EQ(v[0].name, "A1");
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EXPECT_EQ(static_cast<int>(v[0].markType), 2);
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ASSERT_EQ(v[0].localPts.size(), 2u);
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EXPECT_DOUBLE_EQ(v[0].localPts[1].x, 3.0);
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EXPECT_TRUE(v[0].dashed);
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}
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TEST(DatasetChartDto, ParsesAnomalyLatLonAndEastNorth) {
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// 对照原版 drawerExceptionInfo：经纬度 latitudeLongitude.latLon[].{longitude,latitude}、
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// 投影 geographicalCoordinates.coordinates[].{northCoord,eastCoord}（x=northCoord y=eastCoord）。
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auto arr = QJsonDocument::fromJson(
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R"([{"id":"exc-2","exceptionName":"A2","exceptionMarkType":2,
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"location":{"coordinate":[{"x":1,"y":2}]},
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"latitudeLongitude":{"latLon":[{"longitude":120.5,"latitude":30.25}]},
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"geographicalCoordinates":{"coordinates":[{"northCoord":3350000.0,"eastCoord":500000.0}]}}])")
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.array();
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auto v = parseDatasetAnomalies(arr);
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ASSERT_EQ(v.size(), 1u);
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ASSERT_EQ(v[0].lonLatPts.size(), 1u);
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EXPECT_DOUBLE_EQ(v[0].lonLatPts[0].x, 120.5); // 经度
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EXPECT_DOUBLE_EQ(v[0].lonLatPts[0].y, 30.25); // 纬度
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ASSERT_EQ(v[0].eastNorthPts.size(), 1u);
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EXPECT_DOUBLE_EQ(v[0].eastNorthPts[0].x, 3350000.0); // northCoord → X
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EXPECT_DOUBLE_EQ(v[0].eastNorthPts[0].y, 500000.0); // eastCoord → Y
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}
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TEST(DatasetChartDto, AnomalyWithoutGeoCoordsLeavesVectorsEmpty) {
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// 响应未携带经纬度/投影 → 两向量为空（详情坐标系下拉退化为仅「图形坐标」，与原版一致）。
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auto arr = QJsonDocument::fromJson(
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R"([{"id":"exc-3","exceptionName":"A3","exceptionMarkType":2,
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"location":{"coordinate":[{"x":1,"y":2}]}}])")
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.array();
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auto v = parseDatasetAnomalies(arr);
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ASSERT_EQ(v.size(), 1u);
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EXPECT_TRUE(v[0].lonLatPts.empty());
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EXPECT_TRUE(v[0].eastNorthPts.empty());
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}
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TEST(DatasetChartDto, ParsesAnomalyIdentityFields) {
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// I10/I11/I12 需要 id（删除/更新/定位）、备注、异常类型 id、创建时间。
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auto arr = QJsonDocument::fromJson(
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R"([{"id":"exc-1","exceptionName":"A1","exceptionTypeName":"Zone",
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"exceptionTypeId":"type-9","exceptionMarkType":3,"remark":"备注X",
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"createTime":"2026-06-22 10:00:00",
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"location":{"coordinate":[{"x":1,"y":2},{"x":3,"y":4},{"x":5,"y":6}]}}])").array();
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auto v = parseDatasetAnomalies(arr);
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ASSERT_EQ(v.size(), 1u);
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EXPECT_EQ(v[0].id, "exc-1");
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EXPECT_EQ(v[0].exceptionTypeId, "type-9");
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EXPECT_EQ(v[0].remark, "备注X");
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EXPECT_EQ(v[0].createTime, "2026-06-22 10:00:00");
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EXPECT_EQ(static_cast<int>(v[0].markType), 3);
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}
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