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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 | import { DicomMetadataStore } from '../services/DicomMetadataStore/DicomMetadataStore';
import formatPN from './formatPN';
export default function downloadCSVReport(measurementData) {
Iif (measurementData.length === 0) {
// Prevent download of report with no measurements.
return;
}
const columns = [
'Patient ID',
'Patient Name',
'StudyInstanceUID',
'SeriesInstanceUID',
'SOPInstanceUID',
'Label',
];
const reportMap = {};
measurementData.forEach(measurement => {
const { referenceStudyUID, referenceSeriesUID, getReport, uid } = measurement;
Iif (!getReport) {
console.warn('Measurement does not have a getReport function');
return;
}
const seriesMetadata = DicomMetadataStore.getSeries(referenceStudyUID, referenceSeriesUID);
const commonRowItems = _getCommonRowItems(measurement, seriesMetadata);
const report = getReport(measurement);
reportMap[uid] = {
report,
commonRowItems,
};
});
// get columns names inside the report from each measurement and
// add them to the rows array (this way we can add columns for any custom
// measurements that may be added in the future)
Object.keys(reportMap).forEach(id => {
const { report } = reportMap[id];
report.columns.forEach(column => {
Iif (!columns.includes(column)) {
columns.push(column);
}
});
});
const results = _mapReportsToRowArray(reportMap, columns);
let csvContent = 'data:text/csv;charset=utf-8,' + results.map(res => res.join(',')).join('\n');
_createAndDownloadFile(csvContent);
}
function _mapReportsToRowArray(reportMap, columns) {
const results = [columns];
Object.keys(reportMap).forEach(id => {
const { report, commonRowItems } = reportMap[id];
const row = [];
// For commonRowItems, find the correct index and add the value to the
// correct row in the results array
Object.keys(commonRowItems).forEach(key => {
const index = columns.indexOf(key);
const value = commonRowItems[key];
row[index] = value;
});
// For each annotation data, find the correct index and add the value to the
// correct row in the results array
report.columns.forEach((column, index) => {
const colIndex = columns.indexOf(column);
const value = report.values[index];
row[colIndex] = value;
});
results.push(row);
});
return results;
}
function _getCommonRowItems(measurement, seriesMetadata) {
const firstInstance = seriesMetadata.instances[0];
return {
'Patient ID': firstInstance.PatientID, // Patient ID
'Patient Name': formatPN(firstInstance.PatientName) || '', // Patient Name
StudyInstanceUID: measurement.referenceStudyUID, // StudyInstanceUID
SeriesInstanceUID: measurement.referenceSeriesUID, // SeriesInstanceUID
SOPInstanceUID: measurement.SOPInstanceUID, // SOPInstanceUID
Label: measurement.label || '', // Label
};
}
function _createAndDownloadFile(csvContent) {
const encodedUri = encodeURI(csvContent);
const link = document.createElement('a');
link.setAttribute('href', encodedUri);
link.setAttribute('download', 'MeasurementReport.csv');
document.body.appendChild(link);
link.click();
}
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