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| 1 | +import h from "@macrostrat/hyper"; |
| 2 | +import { useAPIResult } from "@macrostrat/ui-components"; |
| 3 | +import { |
| 4 | + BaseMeasurementsColumn, |
| 5 | + groupNotesByPixelDistance, |
| 6 | + standardizeMeasurementHeight, |
| 7 | + TruncatedList, |
| 8 | + useCompositeScale, |
| 9 | + useMacrostratColumnData, |
| 10 | +} from "@macrostrat/column-views"; |
| 11 | +import type { UnitLong } from "@macrostrat/api-types"; |
| 12 | +import type { ColumnAxisType } from "@macrostrat/column-components"; |
| 13 | +import type { CompositeColumnScale } from "@macrostrat/column-views"; |
| 14 | + |
| 15 | +function useSGPData({ col_id }) { |
| 16 | + return useAPIResult( |
| 17 | + "https://dev.macrostrat.org/api/pg/sgp_unit_matches", |
| 18 | + { |
| 19 | + col_id: `eq.${col_id}`, |
| 20 | + }, |
| 21 | + (d) => d |
| 22 | + ); |
| 23 | +} |
| 24 | + |
| 25 | +interface SGPSampleData { |
| 26 | + col_id: number; |
| 27 | + unit_id: number; |
| 28 | + sgp_samples: { name: string; id: number }[]; |
| 29 | +} |
| 30 | + |
| 31 | +export function SGPMeasurementsColumn({ columnID }) { |
| 32 | + const data: SGPSampleData[] | null = useSGPData({ col_id: columnID }); |
| 33 | + const { axisType, units } = useMacrostratColumnData(); |
| 34 | + const scale = useCompositeScale(); |
| 35 | + |
| 36 | + if (data == null || units == null || scale == null) return null; |
| 37 | + |
| 38 | + const data1 = prepareSGPData(data, scale, units, axisType); |
| 39 | + |
| 40 | + return h(BaseMeasurementsColumn, { |
| 41 | + data: data1, |
| 42 | + noteComponent: SGPSamplesNote, |
| 43 | + focusedNoteComponent: SGPSamplesNote, |
| 44 | + }); |
| 45 | +} |
| 46 | + |
| 47 | +function SGPSamplesNote(props: { note: any; focused: boolean }) { |
| 48 | + const { note, focused } = props; |
| 49 | + const sgp_samples = note?.data; |
| 50 | + |
| 51 | + if (sgp_samples == null || sgp_samples.length === 0) return null; |
| 52 | + |
| 53 | + return h(TruncatedList, { |
| 54 | + className: "sgp-samples", |
| 55 | + data: sgp_samples, |
| 56 | + itemRenderer: (p) => { |
| 57 | + const sgpLink = `https://test.sgp-search.io/samples/${p.data.id}`; |
| 58 | + return h("a", {href: sgpLink, target: "_blank"}, p.data.name); |
| 59 | + }, |
| 60 | + maxItems: focused ? Infinity : 5, |
| 61 | + }); |
| 62 | +} |
| 63 | + |
| 64 | +function prepareSGPData( |
| 65 | + data: SGPSampleData[], |
| 66 | + scale: CompositeColumnScale, |
| 67 | + units: UnitLong[], |
| 68 | + axisType: ColumnAxisType |
| 69 | +) { |
| 70 | + // Find matching units for samples |
| 71 | + const d1 = data |
| 72 | + .map((sample) => { |
| 73 | + const data = sample.sgp_samples; |
| 74 | + if (data == null || data.length === 0) return null; |
| 75 | + const heightData = standardizeMeasurementHeight( |
| 76 | + { unit_id: sample.unit_id }, |
| 77 | + units, |
| 78 | + axisType |
| 79 | + ); |
| 80 | + if (heightData == null) return null; |
| 81 | + data.sort((a, b) => a.id - b.id); |
| 82 | + return { |
| 83 | + ...heightData, |
| 84 | + data, |
| 85 | + id: sample.unit_id, |
| 86 | + }; |
| 87 | + }) |
| 88 | + .filter(Boolean); |
| 89 | + |
| 90 | + return groupNotesByPixelDistance(d1, scale, axisType, 5); |
| 91 | +} |
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