| 62 | } |
| 63 | |
| 64 | TEST(DataProcessorServiceTest, AppliesAbsoluteFilterAndMaterializesOutput) { |
| 65 | DataEngine engine; |
| 66 | DataProcessorService service(engine); |
| 67 | service.setFilterCatalogue(catalogueFromSource(kAbsoluteSrc)); |
| 68 | const DatasetId ds = *engine.createDataset(DatasetDescriptor{.source_name = "t", .time_domain_id = 0}); |
| 69 | |
| 70 | DataWriter writer = engine.createWriter(); |
| 71 | auto handle = writer.registerScalarSeries(ds, "speed", NumericType::kFloat64); |
| 72 | const TopicId src = handle->topic_id; |
| 73 | writer.appendScalar(*handle, 0, -1.0); |
| 74 | writer.appendScalar(*handle, 1'000'000'000LL, 2.0); |
| 75 | writer.appendScalar(*handle, 2'000'000'000LL, -3.0); |
| 76 | engine.commitChunks(writer.flushAll()); |
| 77 | |
| 78 | const auto result = service.applyFilter(src, ds, "absolute", "speed[Absolute]"); |
| 79 | ASSERT_TRUE(result.has_value()) << result.error(); |
| 80 | EXPECT_NE(result->output_topic_id, 0u); |
| 81 | EXPECT_EQ(result->output_name, "speed[Absolute]"); |
| 82 | |
| 83 | const auto vals = readValues(engine, result->output_topic_id); |
| 84 | ASSERT_EQ(vals.size(), 3u); |
| 85 | EXPECT_DOUBLE_EQ(vals[0], 1.0); |
| 86 | EXPECT_DOUBLE_EQ(vals[1], 2.0); |
| 87 | EXPECT_DOUBLE_EQ(vals[2], 3.0); |
| 88 | } |
| 89 | |
| 90 | TEST(DataProcessorServiceTest, IntegralFilterAccumulates) { |
| 91 | DataEngine engine; |
nothing calls this directly
no test coverage detected