Files
penracourses/anatomy/static/js/upload_form_helpers.js
T
2024-04-22 15:17:31 +01:00

542 lines
19 KiB
JavaScript

let active_file_inputs = new Set();
function add_input_form() {
var form_idx = $('#id_images-TOTAL_FORMS').val();
$('#image_form_set').append($($('#empty_form').html().replace(/__prefix__/g, form_idx)).on("change",
input_change));
$('#id_images-TOTAL_FORMS').val(parseInt(form_idx) + 1);
}
async function blobToBase64(blob) {
return new Promise((resolve, _) => {
const reader = new FileReader();
reader.onloadend = () => resolve(reader.result);
reader.readAsDataURL(blob);
});
}
function extendInputs(form_id, n) {
// Makes sure we have n inputs available
// returns available inputs
inputs = getUnusedInputs($(`#${form_id} input[type=file][id^=id_images-]`));
//fileInput = document.getElementById("id_images-0-image");
// Make sure we have enough input targets
input_diff = (n - inputs.length)
if (input_diff > 0) {
for (let j = 0; j < input_diff; j++) {
add_input_form()
}
// Need to make sure we include the new ones...
inputs = getUnusedInputs($(`#${form_id} input[type=file][id^=id_images-]`));
}
return inputs;
}
function getCurrentFormFiles(form_id) {
inputs = $(`#${form_id} input[type=file]`);
let files = new Set();
for (let j = 0; j < inputs.length; j++) {
i = inputs.get(j);
if (i.files.length > 0) {
files.add(i.files[0]);
}
}
return files;
}
function getUnusedInputs(inputs) {
new_inputs = [];
for (let i = 0; i < inputs.length; i++) {
input = inputs.get(i);
if (!input.value) {
new_inputs.push(input);
}
}
return $(new_inputs);
}
function addFile(f, feedback) {
console.log("add file", f)
let dT = new DataTransfer();
dT.clearData();
dT.items.add(f);
for (let i = 0; i < inputs.length; i++) {
el = inputs.get(i);
if (el.files.length == 0) {
el.files = dT.files;
//ocr(el)
if (feedback) {
arr = el.name.split("-");
arr.splice(2, 1, "feedback_image");
feedback_el_name = arr.join("-");
$(`[name=${feedback_el_name}]`).prop("checked", true);
}
$(el).change();
return false;
}
}
}
function ocr2(url, input) {
console.log("OCR", input)
Tesseract.recognize(
url,
'eng',
//{ logger: m => console.log(m) }
).then(({
data: {
text
}
}) => {
l = text.toLowerCase();
uploading_el = $(`img[data-input-id='${input.id}'], div[data-input-id='${input.id}']`)
uploading_el.removeClass("image-ident-loading");
console.log("found text", l);
if (l.includes("accession") || l.includes("number") || l.search(
/(ref|rk9|rh8|ra9|rbz)\d+/g) > -1) {
console.log("Match found ", input);
$(input).addClass("image-ident-warning");
uploading_el.addClass("image-ident-warning");
} else {
$(input).addClass("image-ident-ok");
}
})
}
function input_change(evt) {
file = evt.target.files[0];
$(evt.target).removeClass("image-ident-warning");
$(evt.target).removeClass("image-ident-ok");
el = evt.target;
readFileAndProcess2(el);
}
function showEditPopup(url) {
var win = window.open(url, "Edit",
'height=500,width=800,resizable=yes,scrollbars=yes');
return false;
}
function showAddPopup(triggeringLink) {
var name = triggeringLink.id.replace(/^add_/, '');
href = triggeringLink.href;
var win = window.open(href, name, 'height=500,width=800,resizable=yes,scrollbars=yes');
win.focus();
return false;
}
function closePopup(win, newID, newRepr, id) {
$(id + "_to").append('<option value=' + newID + ' title=' + newRepr + ' >' + newRepr + '</option>')
win.close();
}
async function readFileAndProcess2(el) {
//file_set = $("#image_form_set input[type=file]");
//file_set.each(async (n, el) => {
if (el.files.length > 0) {
filename = el.files[0].name;
// Probably no need to await here anymore
//await readFile(el.files[0], el);
$(el).parent().parent().find(".temp-thumb").remove();
let url = URL.createObjectURL(el.files[0])
n = el.id.split("-")[1];
$(`#drop-filenames span[data-input-id='${el.id}']`).remove();
let extra_class = " image-ident-loading";
if ($(el).hasClass("image-ident-warning")) {
extra_class = " image-ident-warning";
} else if ($(el).hasClass("image-ident-ok")) {
extra_class = " image-ident-ok";
}
//let extra_class = "";
let imageId;
if (el.files[0].type.startsWith("image")) {
let hash = CryptoJS.MD5(el.files[0]).toString();
base = await blobToBase64(el.files[0]);
imageId = "base64://" + base.split(",")[1];
imageId2 = base;
const element = $(`<img class='temp-thumb' src=${imageId}></div>`).get(0)
$(el).parent().parent().prepend(element);
ocr2(url, el);
checkHash(hash, el);
if ($("#drop-filenames").length > 0) {
$("#drop-filenames").append(
`<span data-input-id='${el.id}'><span>${n}: ${el.files[0].name}</span><img class='uploading${extra_class}' data-input-id='${el.id}' src=${url}></span>`
)
}
} else {
imageId = `wadouri:${url}`;
imageId2 = imageId
const element = $(`<div class='temp-thumb' src=${imageId2}></div>`).get(0)
$(el).parent().parent().prepend(element);
cornerstone.enable(element);
cornerstone.loadAndCacheImage(imageId).then(function (image) {
cornerstone.displayImage(element, image);
cornerstone.resize(element)
if (hash_url) {
let pixel_data = image.getPixelData().toString()
let hash = CryptoJS.MD5(pixel_data).toString();
checkHash(hash, el);
}
console.log("image", image)
let bytesView = image.getPixelData()
let str = new TextDecoder("utf-8").decode(bytesView, );
console.log("bytes", bytesView)
console.log("str", str)
extractDicomDetails(image.data.byteArray)
});
if ($("#drop-filenames").length > 0) {
$("#drop-filenames").append(
`<span data-input-id='${el.id}'><span>${n}: ${el.files[0].name}</span><div class='uploading${extra_class}' data-input-id='${el.id}' src=${url}></div></span>`
)
const element2 = $(`#drop-filenames div[data-input-id='${el.id}']`).get(0);
cornerstone.enable(element2);
cornerstone.loadAndCacheImage(imageId).then(function (image) {
cornerstone.displayImage(element2, image);
$(element2).addClass("temp-thumb-large");
cornerstone.resize(element2)
setTimeout(function () {
ocr2($(element2).find("canvas").get(0).toDataURL(), el);
$(element2).removeClass("temp-thumb-large");
cornerstone.resize(element2)
}, 500);
});
}
}
active_file_inputs.delete(el)
console.log("active", active_file_inputs)
// Only load once all queued files have been processed
if (active_file_inputs.size < 1) {
//load_viewer = true;
loadViewer();
}
}
//})
}
function checkHash(hash, input, url) {
$.ajax({
url: hash_url,
data: {
csrfmiddlewaretoken: csrf_token,
hash: hash
},
type: "POST",
dataType: "json",
})
// $.ajax().done(), $.ajax().fail(), $ajax().always() are upto you. Add/change accordingly
.done(function (data) {
console.log(data);
if (data.status == "success") {
console.log("success");
console.log(data.id)
if (data.id) {
//toastr.info(`id ${data.id}`)
uploading_el = $(`img[data-input-id='${input.id}'], div[data-input-id='${input.id}']`)
$(input).addClass("image-duplicate");
uploading_el.addClass("image-duplicate");
toastr.warning(`Image (${input.files[0].name}) already exists.<br /><a href='${data.url}'>Click to view</a><br /><button type="button" class="btn clear">Dismiss</button>`, "Duplicate image", {
"closeButton": false,
"debug": false,
"newestOnTop": false,
"progressBar": false,
"positionClass": "toast-top-full-width",
"preventDuplicates": false,
"onclick": null,
"showDuration": "0",
"hideDuration": "0",
"timeOut": 0,
"extendedTimeOut": 0,
"showEasing": "swing",
"hideEasing": "linear",
"showMethod": "fadeIn",
"hideMethod": "fadeOut",
"tapToDismiss": false
})
}
}
})
.always(function () {
console.log('[Done]');
})
}
function updateImagePositions() {
console.log("UP pos");
file_set = $("#image_form_set ul");
n = 0;
for (let i = 0; i < file_set.length; i++) {
ul = file_set.get(i);
console.log(ul)
file_element = $(ul).find("input[type=file]").get(0);
// If a (new) file is being uploaded we save it's name prior to it being hashed
if (file_element.files.length > 0) {
file_name = file_element.files[0].name
//$(ul).find("input[type=text]").val(file_name);
$(ul).find("input[name*='filename']").val(file_name);
}
if (file_element.files.length > 0 || $(ul).find(":contains('Currently:')")) {
n++;
$(ul).find("input[type=number]").val(n);
}
}
}
function loadViewer() {
console.log("LOAD VIEWER")
// temp fix before starting viewer collapsed
$("#single-dicom-viewer").show()
//file_set = $("#image_form_set input[type=file]");
//n = 0;
//for (let i = 0; i < file_set.length; i++) {
// el = file_set.get(i)
// if (el.files.length > 0) {
// n++;
// }
//}
image_set = $("#image_form_set .temp-thumb").get() //.map(function() { return $(this).attr("src")}).get();
console.log("image set", image_set);
//console.log()
//if (n == image_set.length) {
const event = new CustomEvent('loadDicomViewer', {
"detail": image_set
});
window.dispatchEvent(event);
sortable('.sortable');
//sortable('.sortable')[0].addEventListener('sortstop', function(e) {
updateImagePositions();
//}
}
function extractDicomDetails(byteArray) {
// We need to setup a try/catch block because parseDicom will throw an exception
// if you attempt to parse a non dicom part 10 file (or one that is corrupted)
try {
console.log("bytearray", byteArray)
// parse byteArray into a DataSet object using the parseDicom library
var dataSet = dicomParser.parseDicom(byteArray);
console.log("ds", dataSet)
// dataSet contains the parsed elements. Each element is available via a property
// in the dataSet.elements object. The property name is based on the elements group
// and element in the following format: xggggeeee where gggg is the group number
// and eeee is the element number with lowercase hex characters.
// To access the data for an element, we need to know its type and its tag.
// We will get the sopInstanceUid from the file which is a string and
// has the tag (0020,000D)
var study_description = dataSet.string('x00081030');
var accession_number = dataSet.string('x00080050').toLowerCase();
var patient_id = dataSet.string('x00100020').toLowerCase();
var modality = dataSet.string('x00080060');
var projection = dataSet.string('x00185101');
try {
var plane = dataSet.string('x00180022').toLowerCase();
} catch (err) {
var plane = "";
}
console.log("STUDY", study_description);
console.log("acc", accession_number);
console.log("pid", patient_id);
console.log("projection", projection);
console.log("plane", plane);
function select_plane(option) {
let plane_select_object = document.getElementsByName("plane")[0]
const $options = Array.from(plane_select_object.options);
const optionToSelect = $options.find(item => item.text === option);
optionToSelect.selected = true;
}
if (plane.includes("axial")) {
select_plane("axial");
} else if (plane.includes("sagittal")) {
select_plane("sagittal");
} else if (plane.includes("coronal")) {
select_plane("coronal");
} else if (plane.includes("ap")) {
select_plane("AP");
} else if (plane.includes("lat") | plane.includes("lateral")) {
select_plane("lateral");
} else if (plane.includes("pa")) {
select_plane("PA");
}
modality_map = {
"DX": "Radiograph",
"CR": "Radiograph",
"CT": "CT",
"MR": "MR",
"RF": "Fluroscopy",
"US": "Ultrasound",
}
if (modality in modality_map) {
let modality_select_object = document.getElementsByName("modality")[0]
const $options = Array.from(modality_select_object.options);
const optionToSelect = $options.find(item => item.text === modality_map[modality]);
optionToSelect.selected = true;
} else {
toastr.info(`Unable to automatically set modality: ${modality}`);
}
// If the dicom study_description contains multiple values select the first
study_description = study_description.split(",")[0].trim();
to_replace = ["lt", "rt", "contrast", "LT", "RT", "Contrast"];
for (let i = 0; i < to_replace.length; i++) {
study_description = study_description.replace(to_replace[i], "");
}
let select_object = document.getElementsByName("examination")[0]
if (select_object.value == "") {
$.get(`${select_object.dataset.autocompleteLightUrl}?q=${study_description}`, (data) => {
console.log(data)
if (data.results.length == 1) {
$(select_object).select2("trigger", "select", {
data: data.results[0]
})
}
})
}
not_anon = false;
site_codes = ["ref", "rk9", "ra9", "rh8", "rbz", "rba"]
for (let i = 0; i < site_codes.length; i++) {
if (
accession_number.startsWith(site_codes[i]) ||
patient_id.startsWith(site_codes[i])) {
not_anon = true;
}
}
if (not_anon) {
toastr.warning(`File does not appear to be annonymised<br/>Accession: ${accession_number} <br/>Patient ID: ${patient_id}<br/>`, 'Anonymisation warning', {
"closeButton": false,
"debug": false,
"newestOnTop": false,
"progressBar": false,
"positionClass": "toast-top-full-width",
"preventDuplicates": false,
"onclick": null,
"showDuration": "0",
"hideDuration": "0",
"timeOut": 0,
"extendedTimeOut": 0,
"showEasing": "swing",
"hideEasing": "linear",
"showMethod": "fadeIn",
"hideMethod": "fadeOut",
});
}
// TODO: fix
//$.ajax({
// url: `{% url 'generic:examination-autocomplete' %}/${encodeURI(study_description)}`,
// //context: document.body,
// success: function(data){
// console.log(data)
// }
//});
//// try to match with a study description (if not already selected)
//if ($(`#id_examination_to option`).length < 1) {
// option = $(`#id_examination_from option[title*='${study_description}' i]`);
// if (option.length) {
// option.appendTo($("#id_examination_to"));
// toastr.success(`Examination set to ${option.attr('title')} from dicom data`);
// } else {
// toastr.warning(
// `Unable to set examination ${study_description} from dicom data (it needs creating)`);
// }
//}
} catch (err) {
console.log(err);
}
}